Embodiments of the present disclosure provide a method and system for environmental monitoring based on an intelligent gas regulatory IOTs, the method comprising: determining a target enterprise user and a corresponding target monitoring point location and a target monitoring parameter based on acquired gas regulatory data; determining a government environmental sampling parameter based on government environmental monitoring information, the target monitoring point location, and the target monitoring parameter, and obtaining surrounding environmental data based on the government environmental sampling parameter; controlling an environmental monitoring device to collect target monitoring data; determining a maintenance parameter based on the target monitoring data and the surrounding environmental data; generating a maintenance instruction based on an device operating state and the maintenance parameter; and adjusting the collection frequency of obtaining the gas regulatory data based on an execution result of the maintenance instruction and adjusting a storage space allocation parameter for the gas regulatory data of a different enterprise user, a data cleaning parameter; based on the collection frequency and the storage space allocation parameter, adjust a computing resource allocation parameter.
Disclosed are a method and a system for processing regulatory information. The method may be executed by a gas company management platform of the system for processing gas regulatory information. The method may include: obtaining gas regulatory information of a plurality of gas regulatory regions; determining target gas regulatory information from the gas regulatory information based on a target regulatory characteristic; updating data accountability levels of different gas regulatory regions based on the target gas regulatory information; determining redundant data and contradictory data based on the target gas regulatory information and the data accountability levels; obtaining processed target gas regulatory information based on the redundant data and the contradictory data; and adjusting communication priorities of a plurality of sets of communication sub-devices based on the data accountability levels.
Disclosed are an IoT system, a method, and a storage medium for sampling and monitoring a smart gas pipeline. The method is executed by a government safety monitoring and management platform, and includes: obtaining pipeline sensing data; determining a sampling parameter based on the pipeline sensing data; and in response to obtaining at least one piece of sampling data from at least one sampling device, determining a fault detection command based on the sampling data, and sending the fault detection command to a gas maintenance object platform to schedule a manual inspection. The IoT system includes the government safety monitoring and management platform, a government safety monitoring sensing network platform, a government safety monitoring object platform, a gas company sensing network platform, a gas equipment object platform, and the gas maintenance object platform. The method may be executed by reading computer instructions stored in a non-transitory computer-readable storage medium.
Embodiments of the present disclosure provide a method and an Internet of Things (IoT) system for monitoring welding of a smart gas pipeline based on government supervision, the system comprising a smart gas government safety supervision platform, a smart gas government safety supervision sensing network platform, a smart gas government safety supervision object platform, a gas company sensing network platform, and a gas construction object platform. The method is performed based on the gas company management platform, comprising: obtaining at least one set of welding point information and corresponding pipeline construction information in a preset pipeline region; determining a first welding risk based on the pipeline construction information; and determining a first risk value based on the first welding risk and a historical welding risk; in response to determining that the first risk value meets a preset condition, generating a welding adjustment instruction; obtaining welding process information uploaded by a welding personnel terminal; performing a preset processing on the welding process information to obtain welding key information; obtaining monitoring parameters of the preset pipeline region.
A method and system for determining whether to carry out traffic control based on a monitoring Internet of Things system of smart gas are provided. The method includes obtaining durability monitoring data and traffic vibration data of a pipeline corridor through a gas company sensor network platform, and obtaining road traffic data through a government safety monitoring management platform via a government safety monitoring sensor network platform; determining a durability change feature of the pipeline corridor based on the durability monitoring data; determining a traffic correlation using a relevance determination model based on at least one of the durability change feature, the traffic vibration data, or the road traffic data; determining a traffic-affected pipeline corridor based on at least one of the traffic vibration data or the traffic correlation, and reporting the traffic-affected pipeline corridor to a government safety monitoring service platform, and determining whether to carry out traffic control.
A method, a system, and a medium for gas pipeline safety monitoring based on a regulatory Internet of Things (IoT) are provided. The method includes: obtaining a first vibration sequence based on vibration data uploaded by a plurality of pipeline monitoring devices; obtaining construction information corresponding to each pipeline region, and determining a second vibration sequence based on the construction information and the first vibration sequence; receiving feedback information from a people user platform; identifying a suspected leak point location based on the feedback information and the second vibration sequence; generating, based on the suspected leak point location, a maintenance instruction and a parameter adjustment instruction; and sending the maintenance instruction to an intelligent device or a maintenance personnel terminal corresponding to the maintenance instruction, and sending the parameter adjustment instruction to one or more target pipeline monitoring devices.
Provided are a method and a system for assessing product quality based on IIoT. The method comprises: obtaining one or more segments of a current production line; for each segment of the one or more segments: determining, based on a segment characteristic of the segment, a first abnormality degree and a segment criticality degree of the segment; determining a segment monitoring level based on the segment criticality degree and the first abnormality degree; determining a quality inspection parameter based on the segment monitoring level and issuing the quality inspection parameter to a quality inspection device; obtaining a product quality characteristic of the segment by controlling the quality inspection device to perform quality inspection on a product of the segment based on the quality inspection parameter; and updating the quality database by generating quality update data based on the segment characteristic and the product quality characteristic.
G05B 19/406 - Commande numérique [CN], c.-à-d. machines fonctionnant automatiquement, en particulier machines-outils, p. ex. dans un milieu de fabrication industriel, afin d'effectuer un positionnement, un mouvement ou des actions coordonnées au moyen de données d'un programme sous forme numérique caractérisée par le contrôle ou la sécurité
A determination method and an Internet of Things (IoT) system for gas supply during maintenance of a gas pipeline network are provided. The determination method includes: determining a degree of a maintenance impact based on maintenance data; determining a maintenance time period; determining a supply sequence of the maintenance time period based on a first loss feature; determining a gas supply restoration time period and a second loss feature based on a gas supply restoration duration; determining a supply sequence of the gas supply restoration time period based on the second loss feature; determining a target demand for a maintenance pipeline branch in a target time period based on historical usage data; determining a target loss in the target time period based on a target supply and the target demand; determining a replenishment parameter based on the target loss; and calling backup gas from a gas storage station.
Method for sampling product quality based on Industrial Internet of Things, including: obtaining model data, production data, and equipment data, determining a first preset condition, a first sampling parameter, a second preset condition, and a second sampling parameter; obtaining production feature data, and in response to the production feature data satisfying first preset condition, generating a first sampling inspection instruction based on the first sampling parameter and obtaining a first quality inspection result; obtaining historical sampling inspection results and historical model data, and in response to the historical sampling inspection results and/or the historical model data satisfying second preset condition, generating a second sampling inspection instruction based on the second sampling parameter and obtaining a second quality inspection result; adjusting the first preset condition, the first sampling parameter, the second preset condition, and the second sampling parameter based on the first quality inspection result and the second quality inspection result.
Disclosed is an IoT system for gas demand management based on a call center of smart gas, comprising a smart gas user platform, a smart gas service platform, a smart gas management platform, a smart gas sensing network platform, and a smart gas object platform. The smart gas user platform is configured to send call data of a gas user to the smart gas service platform. The smart gas service platform is configured to send the call data of the gas user to the smart gas management platform. The smart gas management platform is configured to classify the call data of the gas user; determine demand matching degrees of the gas user for different demands; predict demand information of different types of users based on the demand matching degrees, respectively; and determine and push a gas operation push feature based on the demand information of the different types of users.
H04M 3/51 - Dispositions centralisées de réponse aux appels demandant l'intervention d'un opérateur
G16Y 10/35 - Services publics, p. ex. électricité, gaz ou eau
G16Y 40/35 - Gestion des objets, c.-à-d. commande selon une stratégie ou dans le but d'atteindre des objectifs déterminés
11.
SYSTEM FOR INDUSTRIAL INTERNET OF THINGS WITH INDEPENDENT MANAGEMENT PLATFORM FOR ABNORMAL JUDGMENT AND PRODUCTION CONTROL OF PRODUCTION LINE AND CONTROL METHOD THEREOF
A system of an industrial internet of things with independent management platform for abnormal judgment and production control of a production line and a control method are provided. The system includes a user platform, a service platform, a management platform, a sensor network platform, and an object platform. The service platform and sensor network platform use a centralized arrangement, and the management platform uses an independent arrangement. The management platform includes a plurality of sub-platforms; each of the sub-platforms corresponds to a type of a production line stage; the type of the production line stage comprises a first stage and a second stage. The management platform receives sensing detection data transmitted by the object platform. A sub-platform determines whether the production line is abnormal based on the sensing detection data; and in response to the production line being abnormal, adjusts a control parameter of the production line stage.
Disclosed is an IoT system for determining a work situation of a collaborative robot, comprising: a service platform, a management platform, and a sensing network platform. The management platform includes a selection module configured to select at least one key moment from a processing cycle of a target collaborative robot; a space module configured to establish a collaborative robot space and a key point of the collaborative robot; a benchmark module configured to take coordinates of the key point of the target collaborative robot in the collaborative robot space at the key moment in a standard processing situation as benchmark coordinates; an acquisition module configured to obtain first coordinates and second coordinates; and a calculation module configured to determine a confidence of each key moment; adjust the key moment; and monitor the work situation of the target collaborative robot, and send the work situation to a user platform.
The embodiments of the present disclosure provide a method for predicting a water accumulation risk in a smart city implemented based on a management platform of an Internet of Things (IoT) system for predicting a water accumulation in a smart city. The method may include: predicting, based on obtained area information of a target area, a water accumulation risk in the target area; determining, based on the water accumulation risk, an adjustment scheme corresponding to the target area; and executing an adjustment instruction corresponding to the adjustment scheme.
G06Q 10/06 - Ressources, gestion de tâches, des ressources humaines ou de projetsPlanification d’entreprise ou d’organisationModélisation d’entreprise ou d’organisation
G06Q 10/0635 - Analyse des risques liés aux activités d’entreprises ou d’organisations
G16Y 20/10 - Information détectée ou collectée par les objets relative à l’environnement, p. ex. la température relative à l’emplacement
Provide are a method and an IoT system for monitoring gas at a smart gas gate station based on safety supervision. The method includes: obtaining gas monitoring data and determining a uniformity degree of the gas based on the gas monitoring data; in response to the uniformity degree satisfying a first preset condition, determining gas component data; obtaining environmental data; determining a component influence coefficient based on the uniformity degree and the environmental data; in response to the component influence coefficient satisfying a second preset condition, generating and transmitting a retrieval instruction to a gas user platform; determining a confidence weight corresponding to the feedback information; determining a monitoring accuracy based on the feedback information, the confidence weight, the gas component data, and the component influence coefficient; and generating and sending an adjustment instruction to a smart gas device object platform based on the monitoring accuracy.
Provided is an Internet of things (IoT) system for pipeline valve calibration based on smart gas safety supervision, comprising a smart gas government safety supervision management platform, a smart gas government safety supervision sensor network platform, a smart gas government safety supervision object platform, a gas company management platform, a gas company sensor network platform, a gas equipment object platform, and a gas equipment maintenance object platform. The smart gas government safety supervision management platform is configured to generate a first calibration instruction. The gas company management platform is configured to determine a first calibration result; determine a flexible calibration batch; obtain a second calibration result; determine valves pending maintenance of gas pipelines; determine work order information; determine a work order dispatch instruction based on the work order information; and adjust a working parameter of an auxiliary device operating with the valves pending maintenance based on the parameter adjustment instruction.
Disclosed is a method and an Internet of Things (IoT) system for pipeline drying treatment based on smart gas safety supervision. The IoT system comprises a gas company management platform, a government gas supervision management platform, a gas company object platform, etc. The method comprises obtaining drying medium information of at least one gas pipeline outlet; determining an initial drying value of at least one gas pipeline; in response to the initial drying value being less than a drying threshold, using the at least one gas pipeline as a target gas pipeline, and determining a progressive drying parameter; generating a first control instruction to be sent to the gas company object platform; evaluating a confidence level of the initial drying value; generating a threshold adjustment instruction, and sending the threshold adjustment instruction to the gas company management platform to update the drying threshold; and generating a performance adjustment instruction.
B08B 9/055 - Nettoyage des surfaces intérieuresÉlimination des bouchons utilisant des dispositifs de nettoyage introduits dans et déplacés le long des tubes déplacés le long des tubes par un fluide, p. ex. par pression de fluide ou par aspiration les dispositifs de nettoyage ayant, ou pouvant épouser, la forme de la section des tubes, p. ex. hérissons ou chariots
Disclosed is an industrial Internet of Things (IIoT) energy management system and method based on a management cloud platform. The IIoT energy management system comprises the management cloud platform and an IIoT system. The IIoT system includes an IIoT management platform, an IIoT sensor network platform, and an IIoT perceptual control platform. The IIoT energy management method comprises: the IIoT management platform generating energy information, and sending the energy information to the management cloud platform; the management cloud platform receiving the energy information; determining an energy feature of one of target factories; determining a first energy distribution of one of the target factories; for a target factory of which the first energy distribution does not satisfy a first preset condition: obtaining a standard factory; generating a standard management parameter; and generating a regulation instruction and sending the regulation instruction to the IIoT management platform corresponding to the target factory.
Provided are a method, an Internet of Things (IoT) system, and a storage medium for safety monitoring of a smart gas auxiliary component. The method includes: determining a first anomaly value of an auxiliary component based on operation data of the auxiliary component; determining a target acquisition parameter based on the first anomaly value; determining an acquisition instruction based on the target acquisition parameter, and sending the acquisition instruction to at least one of an interactive device of a staff member or a drone to control an infrared detection device to acquire infrared data of the auxiliary component according to the target acquisition parameter; determining a second anomaly value of the auxiliary component based on the infrared data, environmental data, and the first anomaly value; and determining and sending at least one of a maintenance instruction or a parameter adjustment instruction to a monitoring component and the interactive device.
G01M 99/00 - Matière non prévue dans les autres groupes de la présente sous-classe
F16K 37/00 - Moyens particuliers portés par ou sur les soupapes ou autres dispositifs d'obturation pour repérer ou enregistrer leur fonctionnement ou pour permettre de donner l'alarme
The present disclosure provides a method and a system for parameter adjustment of gas facilities in a comprehensive pipeline gallery based on IoT, the method includes: obtaining first monitoring data of a gas cabin and second monitoring data of other cabins from at least one monitoring position combination; determining a joint risk of the one or more first monitoring positions based on the first monitoring data and the second monitoring data; determining a maintenance parameter and/or adjusting at least one monitoring parameter based on the joint risk; generating at least one adjustment instruction based on adjustment amount of the monitoring parameter, determining an adjustment priority of the at least one monitoring parameter based on a data uploading intensity of the gas cabin, sending the at least one adjustment instruction to the corresponding one or more first monitoring positions based on the adjustment priority sequentially.
The present disclosure provides a system and method for gas supply management of smart gas full-cycle, the method includes: obtaining gas production data; determining base supervision data based on the gas production data; obtaining residual computing resources at a preset frequency; in response to determining that a sum of the reference resource consumption and the residual computing resources satisfying a preset requirement, performing operations including: generating and sending a control instruction to a gas company management platform; evaluating an importance degree of each of the all batches of gas in the target gas based on the target data and the gas production data of the target gas; and adjusting a gas supply volume of the at least one of all batches of gas in the target gas based on the importance degree of the each of the all batches of gas in the target gas and the target data.
H04L 67/12 - Protocoles spécialement adaptés aux environnements propriétaires ou de mise en réseau pour un usage spécial, p. ex. les réseaux médicaux, les réseaux de capteurs, les réseaux dans les véhicules ou les réseaux de mesure à distance
21.
ASSEMBLY OPTIMIZATION METHOD, SYSTEM, AND MEDIUM BASED ON INDUSTRIAL INTERNET OF THINGS (IIOT)
Disclosed is an assembly optimization method, system, and medium based on Industrial Internet of Things (IIoT). The assembly optimization method comprises: obtaining and uploading session assembly data of a production line; obtaining an initial assembly scheme; determining an optimized assembly scheme; determining a target assembly scheme; generating and storing an assembly regulation instruction; in response to an adjustment time being reached, sending an assembly regulation instruction to regulate a device operation parameter of a production device and a conveyor belt parameter of a conveyor belt; obtaining reference assembly data of the production line; in response to the reference assembly data meeting a correction condition: determining a correction optimization session of a current assembly scheme; generating a corrected assembly scheme; storing the corrected assembly scheme and generating a correction regulation instruction; and sending the correction regulation instruction to correct the device operation parameter and the conveyor belt parameter.
Provided is a method for abnormality troubleshooting at a gas refueling station based on safety supervision, comprising: generating a refueling anomaly warning based on refueling error anomaly information and refueled vehicle anomaly information; generating a device inspection instruction based on the refueling anomaly warning and a device characteristic of a refueling device; determining an additional monitoring parameter corresponding to each of one or more devices to be inspected based on the device inspection instruction and uploading the additional monitoring parameter to a smart gas device object platform; generating a monitoring instruction and sending the monitoring instruction to a monitoring device associated with the one or more devices to be inspected; generating an initial inspection result based on an additional monitoring result and a routine monitoring result, uploading the initial inspection result to a smart gas government safety supervision management platform, and storing the initial inspection result in a database.
Industrial internet of things (IoT) service information processing system based on service cloud platform and method thereof, the systems including an industrial IoT subsystem and a service cloud platform. The industrial IoT user platform is configured to receive the user's application data and upload it to the industrial IoT service platform; the industrial IoT service platform is configured to generate the second data based on first data and upload it to the service cloud platform; the industrial IoT management platform is configured to determine the monitoring operation instruction and send it to the industrial IoT perception and control platform; the industrial IoT perception and control platform is configured to obtain the first data and upload to the industrial IoT service platform; the control center is configured to determine service data and recommended operation data, and send them to the industrial IoT service platform.
Embodiments of the present disclosure provide a method, an Internet of Things (IoT) system, and a medium for pipeline repair based on smart gas. The method is executed based on a government supervision and management platform of the IoT system for pipeline repair based on smart gas. The method includes: obtaining pipeline repair equipment information and pipeline data to be repaired; determining a pipeline repair sequence based on the pipeline repair equipment information and the pipeline data to be repaired; based on the repair commands, performing at least one of the following operations: receiving feedback information; determining an updated collection frequency for a pressure regulating equipment and a gas metering device deployed on a target gas pipeline based on the feedback information; and generating a repair update command based on the pipeline data to be repaired, a pressure regulating parameter, a gas supply parameter, and a monitoring data.
Method for retrieving target data based on Industrial Internet of Things (IoT), comprises: dividing production line devices and device data collectors of an object platform into a plurality of target objects in different process sequences according to processes of manufacturing an assembly line product, and collecting real-time data of a production line device of a corresponding process; each sub platform of a sensor network platform corresponding to target object data of each of different process sequences, the target object data including threshold data of a production line device stored in each sub platform database and real-time data collected by the device data collector; and in response to a determination that the real-time data of the production line device is greater than the threshold data, retrieving the target object data in a corresponding sub platform database, packaging the target data into packaged data and transmitting the packaged data to a general platform of the sensor network platform.
G05B 19/418 - Commande totale d'usine, c.-à-d. commande centralisée de plusieurs machines, p. ex. commande numérique directe ou distribuée [DNC], systèmes d'ateliers flexibles [FMS], systèmes de fabrication intégrés [IMS], productique [CIM]
H04L 67/10 - Protocoles dans lesquels une application est distribuée parmi les nœuds du réseau
H04W 4/38 - Services spécialement adaptés à des environnements, à des situations ou à des fins spécifiques pour la collecte d’informations de capteurs
26.
INDUSTRIAL INTERNET OF THINGS (IOT) OF INTEGRATING CENTRALIZED PLATFORMS AND REAR SUB-PLATFORMS APPLYING TO ETCHING OPERATIONS, AND CONTROL METHODS AND MEDIUM THEREOF
An industrial Internet of Things (IoT) of integrating centralized platforms and rear sub-platforms, comprising a user platform, a service platform, a management platform, a sensor network platform, and an object platform interacting in sequence. Production line manufacturing equipment of the object platform includes a plurality of etching equipment, equipment data collectors collect consumption information of etching accessories of the plurality of etching equipment, and the consumption information of the etching accessories is transmitted to the management platform by the sensor network platform; the sub-platforms of the management platform predict a consumption of etching solution of the plurality of etching equipment in a future time period based on the consumption information of the etching accessories; and the sub-platforms of the management platform determine a delivery amount and a delivery time of the etching solution corresponding to each of the plurality of etching equipment based on the consumption of the etching solution.
G05B 19/418 - Commande totale d'usine, c.-à-d. commande centralisée de plusieurs machines, p. ex. commande numérique directe ou distribuée [DNC], systèmes d'ateliers flexibles [FMS], systèmes de fabrication intégrés [IMS], productique [CIM]
H04L 67/12 - Protocoles spécialement adaptés aux environnements propriétaires ou de mise en réseau pour un usage spécial, p. ex. les réseaux médicaux, les réseaux de capteurs, les réseaux dans les véhicules ou les réseaux de mesure à distance
27.
METHODS, SYSTEMS, AND STORAGE MEDIA FOR ASSEMBLY QUALITY CONTROL BASED ON INDUSTRIAL INTERNET OF THINGS (IIOT)
Provide are a method, an IIoT system, and a storage medium for assembly quality control. The method includes: obtaining quality inspection information of a plurality of parts to be assembled; determining, based on the quality inspection information and assembly information, an assembly risk value of each of at least one assembly process through an assembly database; generating a first assembly parameter in response to determining that the assembly risk value satisfies a risk condition; obtaining assembly process data of an assembly operation based on a monitoring device; determining assembly quality of a completed process; in response to determining that the assembly quality does not satisfy a quality requirement, determining a second assembly parameter; generating quality warning information based on the assembly quality and the second assembly parameter; and generating, based on the completed process, quality update data for updating the assembly database.
Method for smart gas household inspection based on government supervision, IoT system, and medium are provided. The method includes obtaining gas usage data; determining a candidate inspection time period; determining an inspection parameter based on the candidate inspection time period and the inspection resource information; and generating an inspection command and sending the inspection command to a smart gas inspector object platform to enable the inspector to conduct home inspection. The system includes a smart gas user platform, a smart gas service platform, a smart gas management platform, a smart gas sensor network platform, a smart gas equipment object platform, a smart gas inspector object platform, a government gas supervision object platform, a government gas supervision sensor network platform, a government gas supervision management platform, a government gas supervision service platform, and a citizen user platform. The method is implemented by reading computer instructions stored on computer-readable storage medium.
Embodiments of the present disclosure provide a method and a smart gas Internet of Things (IoT) system for adjusting a gas flow. The method may include: obtaining a water valve adjustment history record of an industrial user who uses a hot water supply device; determining a target temperature data table for the industrial user based on the water valve adjustment history record; and in response to determining that the industrial user uses the hot water supply device, obtaining current water valve data of the hot water supply device; determining a target temperature range of the industrial user based on the current water valve data and the target temperature data table; determining a temperature rise demand based on the current water valve data and the target temperature range of the industrial user; and determining a gas flow parameter based on the temperature rise demand and water tank information.
Embodiments of the present disclosure provide a method for smart gas firefighting linkage based on government safety supervision, wherein the method is executed by a smart gas government safety supervision management platform based on an Internet-of-Things (IoTs) system for smart gas firefighting linkage based on government safety supervision. The method comprises: determining production stage information of the one or more enterprises based on gas consumption statistics information, current production data, and production planning information of the one or more enterprises; obtaining feedback information from a gas company management platform of the smart gas government safety supervision object platform based on the production stage information of the one or more enterprises; obtaining at least one of alarm information, malfunction information, operating parameters, and hidden danger processing data of at least one set of gas firefighting equipment of the one or more enterprises, and assessing a fire risk level of each of the one or more enterprises; determining fire control parameters of the one or more enterprises based on the fire risk level of the one or more enterprises and the hidden danger processing data; determining an update command based on adjusted operating parameters; and sending the update command to at least one set of gas firefighting equipment corresponding to the update command, and controlling the gas firefighting equipment to update.
Disclosed is a method and an IoT system for maintaining a smart gas filling station based on safety supervision. The method comprises: obtaining historical gas filling data; determining, based on the historical gas filling data, a predicted usage feature; obtaining historical operation data; determining a historical operation feature based on the historical operation data; determining an operation and maintenance parameter based on the predicted usage feature and the historical operation feature, and generating a maintenance instruction; obtaining a count of reference vehicles; and generating a regulation instruction in response to determining that the count of the reference vehicles is greater than a reference threshold. The IoT system comprises a government safety supervision service platform, a government safety supervision management platform, a government safety supervision sensor network platform, a government safety supervision object platform, a gas company sensor network platform, and a gas equipment object platform.
Disclosed are a method and a system for safety monitoring of a gas pipe well based on a smart gas IoT. The method may include: obtaining an environmental information sequence of the gas pipe well and an in-well monitoring data sequence by controlling a monitoring component according to a monitoring parameter based on the smart gas IoT, and storing the environmental information sequence and the in-well monitoring data sequence in a storage unit; determining an in-well risk value; adjusting the monitoring parameter in response to determining that the in-well risk value exceeds a risk threshold and updating the in-well risk value; determining weatherability of a gas component; determining an impact degree of the gas component; determining a pipe well inspection program and generating a corresponding pipe well inspection instruction to be sent to an inspection terminal; and adjusting the monitoring parameter and clearing expired data in the storage unit.
Disclosed is a method and an IoT system for smart control of a collection terminal. The method includes: receiving gas data and environmental monitoring data; in response to at least one of the gas data or the environmental monitoring data does not meeting a first preset condition, generating a first adjustment parameter; sending the first adjustment parameter to one or more first associated gas pipeline network data collection terminals; predicting future environmental change data at a future time point for an environment in which the gas pipeline network data collection terminal is located; in response to determining that the future environmental change data does not meet a second preset condition, determining a gas pipeline network data collection terminal to be adjusted; generating a second adjustment parameter; and sending the second adjustment parameter to the gas pipeline network data collection terminal to be adjusted.
G05B 13/04 - Systèmes de commande adaptatifs, c.-à-d. systèmes se réglant eux-mêmes automatiquement pour obtenir un rendement optimal suivant un critère prédéterminé électriques impliquant l'usage de modèles ou de simulateurs
Methods, Internet of Things (IoT) systems, and storage mediums for smart gas emergency safety simulation based on government regulation are provided. The method may be implemented by the IoT system for smart gas emergency safety simulation based on government regulation. The method may include: predicting, by a gas company management platform, potential emergency hazards of a plurality of regulatory regions based on obtained gas regulatory information of the plurality of regulatory regions, determining, based on hazard feedback information corresponding to the potential emergency hazards and the gas regulatory information, emergency safety simulation parameters corresponding to the plurality of regulatory regions; sending the emergency safety simulation parameters to a gas user platform and sending emergency safety simulation notifications to emergency safety simulation personnel; and determining an emergency safety simulation result corresponding to the emergency safety simulation parameters based on simulation monitoring data.
G06Q 30/018 - Certification d’entreprises ou de produits
G06Q 10/0637 - Gestion ou analyse stratégiques, p. ex. définition d’un objectif ou d’une cible pour une organisationPlanification des actions en fonction des objectifsAnalyse ou évaluation de l’efficacité des objectifs
G06Q 10/067 - Modélisation d’entreprise ou d’organisation
G16Y 40/35 - Gestion des objets, c.-à-d. commande selon une stratégie ou dans le but d'atteindre des objectifs déterminés
35.
METHOD AND INDUSTRIAL INTERNET OF THINGS SYSTEM FOR DETERMINING RELIABILITY SCORE OF GAS METER
Method and industrial IoT system for determining reliability score of gas meter are provided. The method includes: obtaining a type of a gas meter to be tested and application characteristic; determining a predetermined test parameter, the predetermined test parameter including a plurality of test items, and operating pressure ranges, temperature ranges, and gas flow ranges of the plurality of test items; determining a test instruction based on the application characteristic and the predetermined test parameter and controlling the production object platform to test the gas meter to be tested, the test including at least one of a physicochemical characteristic test and a data transmission test, the test instruction including at least one test item; and obtaining a test result and determining the reliability score of the gas meter to be tested based on the test result and display data of the gas meter to be tested.
G01F 25/10 - Test ou étalonnage des appareils pour la mesure du volume, du débit volumétrique ou du niveau des liquides, ou des appareils pour compter par volume des débitmètres
G01F 1/667 - Dispositions de transducteurs pour les débitmètres à ultrasonsCircuits pour faire fonctionner les débitmètres à ultrasons
H04L 67/12 - Protocoles spécialement adaptés aux environnements propriétaires ou de mise en réseau pour un usage spécial, p. ex. les réseaux médicaux, les réseaux de capteurs, les réseaux dans les véhicules ou les réseaux de mesure à distance
36.
SYSTEMS AND METHODS FOR MEASURING NATURAL GAS ENERGY OF SUBAREAS
A method for measuring natural gas energy of subareas. The method may comprise obtaining, at a plurality of time points, the natural gas components at a target position in a natural gas transmission channel to obtain a distribution of the natural gas components in an area that the natural gas energy is to be measured. The method may comprise determining, based on the calorific value of natural gas at the each time point in each subarea of the plurality of subareas, a calorific value distribution function corresponding to the each subarea. The method may comprise determining, based on the calorific value distribution function corresponding to the each subarea, natural gas energy of the each subarea. The method may comprise determining, based on the natural gas energy of the each subarea, the natural gas energy of the area that the natural gas energy is to be measured.
Provided are a method, a system, and a storage medium for information push in IIoT based on a service cloud platform. The method includes: obtaining first sensor information of a first production line; determining, based on the first sensor information, a candidate push object and a push demand value of the candidate push object; determining a target push object based on the push demand value; determining reference information of the target push object based on the first sensor information, and sending the reference information to an IIoT user platform corresponding to the target push object; in response to receiving a recommended demand, generating at least one of a recommended production parameter and a recommended monitoring parameter based on the reference information, and sending the parameter(s) to the IIoT user platform corresponding to the target push object to obtain confirmation information; and generating, based on the confirmation information, an adjustment instruction.
G06Q 10/0631 - Planification, affectation, distribution ou ordonnancement de ressources d’entreprises ou d’organisations
H04L 67/12 - Protocoles spécialement adaptés aux environnements propriétaires ou de mise en réseau pour un usage spécial, p. ex. les réseaux médicaux, les réseaux de capteurs, les réseaux dans les véhicules ou les réseaux de mesure à distance
38.
METHOD AND SYSTEM FOR INTELLIGENT MONITORING OF CNC MACHINE TOOLS BASED ON INDUSTRIAL INTERNET OF THINGS
Provide are a method and a system for intelligent monitoring of a CNC machine tool based on IIoT. The method includes: obtaining appearance information of a tool based on a tool image; in response to the tool being in an operational state, obtaining operational state information of the tool and a CNC machine; issuing an image acquisition instruction to control a camera to acquire a workpiece image and determining workpiece information based on the workpiece image; processing the workpiece information to generate machining quality information; retrieving the appearance information, operational state information, and machining quality information, and generating tool wear information; issuing an alert based on the tool wear information; determining a tool to be replaced based on the tool wear information, and controlling a tool replacement assembly to clip a spare tool from a spare tool box; and issuing a rotational speed adjustment instruction and/or a frequency adjustment instruction.
G05B 19/406 - Commande numérique [CN], c.-à-d. machines fonctionnant automatiquement, en particulier machines-outils, p. ex. dans un milieu de fabrication industriel, afin d'effectuer un positionnement, un mouvement ou des actions coordonnées au moyen de données d'un programme sous forme numérique caractérisée par le contrôle ou la sécurité
39.
METHOD AND SYSTEM FOR INTELLIGENT MONITORING OF CNC PROCESSING BASED ON INDUSTRIAL INTERNET OF THINGS
Method for intelligent monitoring of CNC processing based on industrial IoT, implemented by industrial IoT management platform, including: determining a CNC processing parameter and simulated processing data corresponding to the CNC processing parameter by performing a CNC process simulation based on the information to be processed; controlling a CNC processing device to perform the task to be processed based on the CNC processing parameter; collecting actual processing data during a performance of the task to be processed according to a monitoring frequency by a monitoring device; performing a deviation determination on the actual processing data and the simulated processing data; when a result of the deviation determination satisfies a preset alert condition, generating a processing alert instruction and sending the processing alert instruction to an alert device of a user platform; and controlling the CNC processing device to adjust the tool feed step length based on the actual processing data.
G05B 19/406 - Commande numérique [CN], c.-à-d. machines fonctionnant automatiquement, en particulier machines-outils, p. ex. dans un milieu de fabrication industriel, afin d'effectuer un positionnement, un mouvement ou des actions coordonnées au moyen de données d'un programme sous forme numérique caractérisée par le contrôle ou la sécurité
G05B 19/416 - Commande numérique [CN], c.-à-d. machines fonctionnant automatiquement, en particulier machines-outils, p. ex. dans un milieu de fabrication industriel, afin d'effectuer un positionnement, un mouvement ou des actions coordonnées au moyen de données d'un programme sous forme numérique caractérisée par la commande de vitesse, d'accélération ou de décélération
40.
METHODS AND SYSTEMS FOR INDUSTRIAL INTERNET OF THINGS (IIOT) SECURITY MANAGEMENT BASED ON MANAGEMENT CLOUD PLATFORM
Disclosed is a method and system for industrial Internet of Things (IIoT) security management based on a management cloud platform, and a medium. The method is implemented by the management cloud platform of the system, comprising: obtaining a security control region of at least one of production line; determining a security monitoring parameter of the security control region; generating a security monitoring instruction; obtaining security monitoring information collected by a security monitoring device based on the security monitoring parameter; generating a security management parameter of the security control region; in response to receiving confirmation information sent by an IIoT management platform, generating a security management instruction based on the confirmation information; sending the security management instruction to an IIoT perceptual control platform through the IIoT management platform; and obtaining an execution result of the IIoT perceptual control platform based on the security management instruction, and adjusting the security monitoring parameter based on the execution result.
Industrial internet of things (IoT) with a sensing network platform in a post-sub-platform type where an issuing cache is set and controlling method thereof are provided, which has adopted a form of a five-platform structure to construct an intelligent manufacturing industrial IoT. Each platform has a corresponding hardware device. As a service platform and a management platform adopt a centralized layout, while the sensing network platform adopts a post-sub-platform layout, the sensing network platform may receive large quantities of instructions issued by the management platform, and balance the coordination of various instructions at the same time, which makes the present disclosure very suitable for large-scale production lines with the requirement of high overall coordination and makes the present disclosure have strong applicability.
G05B 19/4155 - Commande numérique [CN], c.-à-d. machines fonctionnant automatiquement, en particulier machines-outils, p. ex. dans un milieu de fabrication industriel, afin d'effectuer un positionnement, un mouvement ou des actions coordonnées au moyen de données d'un programme sous forme numérique caractérisée par le déroulement du programme, c.-à-d. le déroulement d'un programme de pièce ou le déroulement d'une fonction machine, p. ex. choix d'un programme
42.
INTELLIGENT MANUFACTURING INDUSTRIAL INTERNET OF THINGS WITH FRONT SPLIT SERVICE PLATFORM FOR CALIBRATING BINOCULAR CAMERA, CONTROL METHOD AND MEDIUM THEREOF
An intelligent manufacturing industrial Internet of Things with a front split service platform for calibrating a binocular camera is provided, which includes: an obtaining module configured to obtain an image taken by a first camera on a production line as a first image data and an image taken by a second camera as a second image data through a sensor network platform; a three-dimensional module configured to process into three-dimensional image data; a recognition module configured to obtain a plurality of point positions of a distortion part as judgment point positions; a mapping module configured to map the judgment point positions to the second image data to form second calibration point positions; and a calibration module configured to calibrate the first camera and the second camera according to first calibration point positions and the second calibration point positions.
H04N 13/239 - Générateurs de signaux d’images utilisant des caméras à images stéréoscopiques utilisant deux capteurs d’images 2D dont la position relative est égale ou en correspondance à l’intervalle oculaire
43.
METHODS AND SMART GAS INTERNET OF THINGS (IOT) SYSTEMS FOR OPTIMIZING PERFORMANCE INDICATORS OF SMART GAS, AND MEDIUMS
The embodiments of the present disclosure provide a method for optimizing performance indicators of smart gas, a smart gas Internet of Things (IoT) system, and a medium. The method may comprise obtaining at least one user need through the smart gas user platform based on the smart gas service platform; determining at least one optimization objective based on the at least one user need; determining a constraint that a target proportioning feature satisfies according to the at least one optimization objective; generating at least one candidate proportioning feature according to the constraint; performing at least one round of iterative processing on the at least one candidate proportioning feature, and determining the candidate proportioning feature and an evaluation value after each round of iteration until the evaluation value satisfies the constraint; and determining the candidate proportioning feature with the evaluation value satisfying the constraint as the target proportioning feature.
G05B 19/4155 - Commande numérique [CN], c.-à-d. machines fonctionnant automatiquement, en particulier machines-outils, p. ex. dans un milieu de fabrication industriel, afin d'effectuer un positionnement, un mouvement ou des actions coordonnées au moyen de données d'un programme sous forme numérique caractérisée par le déroulement du programme, c.-à-d. le déroulement d'un programme de pièce ou le déroulement d'une fonction machine, p. ex. choix d'un programme
Method for monitoring low-temperature pipeline based on smart gas, including: obtaining gas data and pipeline data of each segment of a gas pipeline and weather data of a position of each segment of the gas pipeline; determining at least one target pipeline; determining icing data of the at least one target pipeline by processing the gas data, the pipeline data, and the weather data of the at least one target pipeline based on an icing prediction model, wherein the icing prediction model is a machine learning model; and generating a thawing instruction based on the icing data, and controlling a natural gas heating device to perform a thawing operation on the at least one target pipeline based on the thawing instruction.
G05B 19/4155 - Commande numérique [CN], c.-à-d. machines fonctionnant automatiquement, en particulier machines-outils, p. ex. dans un milieu de fabrication industriel, afin d'effectuer un positionnement, un mouvement ou des actions coordonnées au moyen de données d'un programme sous forme numérique caractérisée par le déroulement du programme, c.-à-d. le déroulement d'un programme de pièce ou le déroulement d'une fonction machine, p. ex. choix d'un programme
45.
INTERNET OF THINGS (IOT) SYSTEMS AND METHODS FOR MANAGING SMART GAS-INTEGRATED DATA CENTER
The present disclosure provides an IoT system and a method for managing smart gas-integrated data center. The method includes obtaining comprehensive gas enterprise data through a smart gas company management platform; generating a tagging parameter based on the comprehensive gas enterprise data; generating target gas data based on the comprehensive gas enterprise data and the tagging parameter; storing the target gas data into a corresponding gas database, the gas database includes at least one of a basic information base, an operational database, a specialized database, a supervisory database, and a shared database; in response to receiving a data sharing request, retrieving, from at least one of the gas database, the target gas data, through a data switch, based on a data sharing priority and the estimated transmission time; and sending the target gas data satisfying a preset requirement to a gas user platform or a residential user platform to enable the gas user platform and the residential user platform to share data based on the target gas data.
H04L 67/12 - Protocoles spécialement adaptés aux environnements propriétaires ou de mise en réseau pour un usage spécial, p. ex. les réseaux médicaux, les réseaux de capteurs, les réseaux dans les véhicules ou les réseaux de mesure à distance
G06Q 50/26 - Services gouvernementaux ou services publics
H04L 67/60 - Ordonnancement ou organisation du service des demandes d'application, p. ex. demandes de transmission de données d'application en utilisant l'analyse et l'optimisation des ressources réseau requises
46.
METHODS AND SYSTEMS FOR FILLING GAS SAFETY SUPERVISION BASED ON SMART GAS INTERNET OF THINGS (IOT)
Disclosed is a method and system for filling gas safety supervision based on smart gas Internet of Things (IoT). The method is implemented by a gas company management platform of the system. The method comprises: obtaining monitoring data of a gas filling container based on an equipment object platform; obtaining usage information of the gas filling container; determining a target gas user based on a usage index and send, based on a gas user platform, container replacement information to the target gas user, and send a parameter adjustment instruction to an electronic monitoring device of the gas filling container corresponding to the target gas user; and interacting with a public user platform based on a government safety supervision sensor network platform, a government safety supervision management platform, and a government safety supervision service platform, and displaying the container replacement information based on the public user platform.
G05D 9/12 - Commande du niveau, p. ex. en commandant la quantité du matériau emmagasiné dans un réservoir caractérisée par l'utilisation de moyens électriques
47.
METHOD AND INTERNET OF THINGS SYSTEM FOR DATA VISUAL MANAGEMENT OF SMART GAS
The embodiment of the present disclosure provides a method and an Internet of Things (IoT) system for data visual management of smart gas. The IoT system includes a smart gas user platform, a smart gas service platform, a smart gas management platform, a smart gas sensor network platform, and a smart gas object platform. The smart gas management platform transmits visualization data to a target platform for display. The method includes: determining abnormal data and an abnormal probability corresponding to the abnormal data through a pre-analysis model based on first sampling data, second sampling data, a data acquisition feature, and a data summary feature, the pre-analysis model being a machine learning model, and the pre-analysis model including a pre-processing layer and an analysis layer; generating second visualization data based on the abnormal data and the abnormal probability; and controlling the target platform to display the second visualization data.
Provided are an IoT system and a method for intelligent gas emergency safety management. The IoT system comprises a government safety supervision service platform, a government safety supervision management platform, a government safety supervision sensor network platform, a government safety supervision object platform, and a gas equipment object platform, wherein the government safety supervision object platform includes a gas company management platform. The method includes: obtaining emergency event information; determining an initial emergency response plan by matching in an emergency response plan database; obtaining traffic information and environmental information within an emergency scope; obtaining gas supply and demand data, available personnel information, and available resources information; determining a target emergency response plan by updating the initial emergency response plan; and sending the target emergency response plan to the gas company management platform for execution and obtaining an execution result of the gas company management platform.
Provided are a method, a system, and a storage medium for information service of Industrial Internet of Things (IIoT) based on a cloud platform. The method includes: obtaining, based on an IIoT sensing network platform, a production condition of a factory, signaling information, and communication information between a communication device and a plurality of data processing devices; determining a data communication effect of each of the plurality of data processing devices based on the production condition, the signaling information, and the communication information; determining a signal interference type of the factory and a probability distribution corresponding to the signal interference type based on data communication effects of the plurality of data processing devices, and generating and sending a communication adjustment instruction to the IIoT sensing network platform.
H04L 41/142 - Analyse ou conception de réseau en utilisant des méthodes statistiques ou mathématiques
H04L 41/147 - Analyse ou conception de réseau pour prédire le comportement du réseau
H04L 41/16 - Dispositions pour la maintenance, l’administration ou la gestion des réseaux de commutation de données, p. ex. des réseaux de commutation de paquets en utilisant l'apprentissage automatique ou l'intelligence artificielle
H04L 43/08 - Surveillance ou test en fonction de métriques spécifiques, p. ex. la qualité du service [QoS], la consommation d’énergie ou les paramètres environnementaux
H04L 67/10 - Protocoles dans lesquels une application est distribuée parmi les nœuds du réseau
H04L 67/12 - Protocoles spécialement adaptés aux environnements propriétaires ou de mise en réseau pour un usage spécial, p. ex. les réseaux médicaux, les réseaux de capteurs, les réseaux dans les véhicules ou les réseaux de mesure à distance
50.
METHODS AND INTERNET OF THINGS SYSTEMS FOR MONITORING SMART GAS PIPELINE NETWORK CONSTRUCTION
A method and an Internet of Things (IoT) system for monitoring smart gas pipeline network construction are provided. The method is performed by a smart gas government supervision and management platform, including obtaining, in response to construction information being updated, supervisory data of a construction supervision area; determining a construction state of a construction pipeline; in response to the construction state meeting a first condition, generating a material transportation instruction based on the construction information and environmental data; in response to the construction state meeting a second condition, generating a gas supply regulation instruction of the construction supervision area based on at least one of the construction information, the environmental data, and gas usage data; obtaining a first update frequency of the material transportation instruction; and adjusting a current monitoring parameter of the smart gas equipment object platform based on the first update frequency and a second update frequency.
Disclosed is method and system for intelligent recommendation of a production process by Industrial Internet of Things (IIoT) information cloud sharing. The method includes: obtaining and storing production data of the production line; determining, based on the production data, whether an operating parameter of the production line equipment needs to be adjusted; in response to a determination that the operating parameter of the production line equipment needs to be adjusted, generating, based on the production data, a production process parameter and an adjust time; and generating, based on the production process parameter and the adjust time, a process adjustment instruction and issuing the process adjustment instruction to the IIoT management platform; analyzing the process adjustment instructions, and regulating the operating parameter of the production line equipment based on the process adjustment instruction when the adjust time is reached.
The present disclosure provides a method and an Internet of Things (IoT) system for transportation safety supervision based on smart gas. The method is implemented by a government gas supervision and management platform, and comprises determining an estimated degree of risk of a gas transportation request; generating a candidate transportation request and a query instruction; obtaining gas transportation parameters of a currently supervised vehicle and road information at a preset frequency through the query instruction; determining a target transportation request, and generating a target instruction; executing the target transportation request through an execution instruction of the target instruction, and updating a total count of tasks through an update instruction; adjusting the preset frequency based on the latest total count of tasks; adjusting a gas transportation route of the target vehicle; and generating an adjustment instruction and control the target vehicle to execute an adjusted route.
A method and an Internet of Things system for determining a gas compensation scheme based on smart gas are provided. The method includes: determining, based on a planned gas supply quantity of a gas supplier, a predicted gas supply quantity for a future preset time period; predicting a gas demand quantity for the future preset time period based on a gas usage quantity of a historical user; predicting a gas supply deviation rate of the gas supplier based on a gas pipeline design map, weather information for the future preset time period, and the gas demand quantity; determining a gas supply quantity for the future preset time period based on the predicted gas supply quantity and the gas supply deviation rate; determining a gas gap for the future preset time period based on the gas supply quantity and the gas demand quantity; and determining the gas compensation scheme.
Disclosed is monitoring and early warning method for gas gate station and IoT system thereof. The method comprises: obtaining a downstream user feature and historical warning data corresponding to the gas gate station; determining, based on the downstream user feature and the historical warning data and in combination with operation data of the gas gate station, an associated node related to the gas gate station in a preset time period; obtaining monitoring data of the associated node; determining a pipeline network monitoring feature based on pipeline network monitoring data; determining ideal operation data of the gas gate station at a future time through a prediction model, the gate station operation data, and the pipeline network monitoring feature; and issuing an early warning notification in response to a difference between gate station monitoring data and the ideal operation data exceeding a threshold.
F17D 5/02 - Prévention, interception ou localisation des pertes
F17D 5/00 - Protection ou surveillance des installations
G01F 15/00 - Détails des appareils des groupes ou accessoires pour ces derniers, dans la mesure où de tels accessoires ou détails ne sont pas adaptés à ces types particuliers d'appareils, p. ex. pour l'indication à distance
G01M 3/28 - Examen de l'étanchéité des structures ou ouvrages vis-à-vis d'un fluide par utilisation d'un fluide ou en faisant le vide par mesure du taux de perte ou de gain d'un fluide, p. ex. avec des dispositifs réagissant à la pression, avec des indicateurs de débit pour tuyaux, câbles ou tubesExamen de l'étanchéité des structures ou ouvrages vis-à-vis d'un fluide par utilisation d'un fluide ou en faisant le vide par mesure du taux de perte ou de gain d'un fluide, p. ex. avec des dispositifs réagissant à la pression, avec des indicateurs de débit pour raccords ou joints d'étanchéité de tuyauxExamen de l'étanchéité des structures ou ouvrages vis-à-vis d'un fluide par utilisation d'un fluide ou en faisant le vide par mesure du taux de perte ou de gain d'un fluide, p. ex. avec des dispositifs réagissant à la pression, avec des indicateurs de débit pour soupapes
55.
SMART GAS ADAPTIVE PRESSURE REGULATION METHOD BASED ON CALORIFIC VALUE OF GAS AND INTERNET OF THINGS SYSTEM
A method and an Internet of Things system for smart gas adaptive pressure regulation based on a calorific value of gas are provided. The method comprises: acquiring calorific value of gas data, wherein the calorific value of gas data is acquired on the basis of a pressure regulation station; acquiring a first pressure regulation parameter of the pressure regulation station, wherein the first pressure regulation parameter is used for reflecting current pressure regulation data of the pressure regulation station; determining whether the calorific value of gas data meets a first preset condition; in response to the calorific value of gas data not meeting the first preset condition, adjusting the first pressure regulation parameter; and determining a second voltage regulation parameter of the pressure regulation station on the basis of the adjusted first voltage regulation parameter, wherein the second voltage regulation parameter is updated pressure regulation data.
G05D 16/20 - Commande de la pression d'un fluide caractérisée par l'utilisation de moyens électriques
F17D 3/01 - Dispositions pour la surveillance ou la commande des opérations de fonctionnement pour commander, signaler ou surveiller le transfert d'un produit
56.
METHODS AND INTERNET OF THINGS SYSTEMS FOR SMART GAS INSPECTION SUPERVISION
Disclosed is a method for smart gas inspection supervision, comprising: evaluating an inspection matching degree between an inspector and an inspection device based on inspection record data and operation data; determining a task assignment parameter and a training parameter for the inspector based on a matching degree set; adjusting a first acquisition ratio of the inspection record data by a gas company inspector object platform, and a second acquisition ratio of the operation data by the gas company device object platform based on the task assignment parameter and the training parameter; adjusting a gas collection frequency of a gas sensor device, and a gas upload frequency of the gas sensor device based on task execution result; and generating an adjustment instruction based on an adjustment amount of the gas collection frequency and an adjustment amount of the gas upload frequency, and sending the adjustment instruction to a gas sensor device.
Disclosed is method and system for safety monitoring of pipeline operation status based on smart gas IoT. The method includes: obtaining operation data of a gas pipeline in a monitoring area; obtaining candidate pipeline information; obtaining candidate pipeline information; determining, based on the candidate pipeline information, target pipeline information, and sending the target pipeline information to the gas company management platform through the government safety supervision sensor network platform; generating, based on the target pipeline information, a maintenance instruction, and sending the maintenance instruction to a device object platform; sending the monitoring adjustment instruction to the plurality of target monitoring devices through the device object platform; sending the storage allocation instruction to the storage unit through the device object platform to control the storage unit to delete outdated monitoring data and adjust the allocation ratio according to the allocation ratio and the minimum allocation space.
Embodiments of present disclosure provides a method and an Internet of Things (IoT) system for supervising a smart gas corporate user, and a medium thereof. The method includes determining a production phase and a production energy efficiency of a corporate user based on corporate user information, production status information, and current gas data; generating a gas supervision parameter based on the production phase and the production energy efficiency; sending the gas supervision parameter to a monitoring device; and monitoring gas data of the corporate user based on a data monitoring frequency and uploading the monitored gas data to a gas management platform at a data uploading frequency by the gas device object platform, and uploading the monitored gas data to a governmental supervision and management platform by the gas management platform.
The present disclosure provides a method and an Internet of Things (IoT) system for dynamic allocating emergency devices of smart gas. The method comprises determining gas supply and demand features based on node data and downstream user features of a gas pipeline network; determining a plurality of gas emergency regions based on the gas supply and demand features; determining physical distances between the plurality of gas emergency regions and time intervals required for an emergency response based on the plurality of gas emergency regions; determining weighted distances based on the physical distances, the time intervals, and weighted weights; determining a dynamic deployment scheme for a plurality of emergency devices based on the weighted distances and device data of the plurality of emergency devices; and generating a movement instruction based on the dynamic deployment scheme, and sending the movement instruction to the plurality of emergency devices.
Disclosed is a method for managing gas data, which is implemented by at least one processor of an Internet of Things (IoT) system for managing the gas data. The method comprises: obtaining to-be-stored-gas data and downstream user features; determining a user importance level based on the downstream user features; determining accessing frequency distribution features of the to-be-stored-gas data; determining a risk degree of data through a second prediction model; constructing query feature vectors based on pipeline data, and determining a risk degree of the gas pipeline based on the query feature vectors; determining a gas data level; determining a data redundancy level; generating redundant data blocks of the to-be-stored-gas data; and storing the to-be-stored gas data and the redundant data blocks in the at least one storage node of the at least one sub-data center based on loading distribution features.
H04L 67/1097 - Protocoles dans lesquels une application est distribuée parmi les nœuds du réseau pour le stockage distribué de données dans des réseaux, p. ex. dispositions de transport pour le système de fichiers réseau [NFS], réseaux de stockage [SAN] ou stockage en réseau [NAS]
G16Y 10/35 - Services publics, p. ex. électricité, gaz ou eau
G16Y 40/35 - Gestion des objets, c.-à-d. commande selon une stratégie ou dans le but d'atteindre des objectifs déterminés
H04L 67/1004 - Sélection du serveur pour la répartition de charge
H04L 67/1095 - Réplication ou mise en miroir des données, p. ex. l’ordonnancement ou le transport pour la synchronisation des données entre les nœuds du réseau
61.
INSPECTION METHOD AND INTERNET OF THINGS (IOT) SYSTEM FOR SMART GAS SUPERVISION INFORMATION
Disclosed is an inspection method and an Internet of Things system for smart gas supervision information, comprising: obtaining an inspection route; determining a plurality of inspection sub-routes; generating a calling instruction and an acquisition instruction, and sending the calling instruction and the acquisition instruction to a government gas supervision object platform and a gas equipment object platform; determining an inspection type parameter of each of a plurality of inspection sub-routes based on pipeline supervision information and facility supervision information, and determining an inspection assignment parameter; generating an inspection instruction, and sending the inspection instruction to the gas equipment object platform; in response to determining that an actual coverage satisfies a first preset condition, updating the plurality of inspection sub-routes; adjusting the inspection assignment parameter, and sending the inspection assignment parameter to the gas equipment object platform; after the inspection is completed, sending a current pipeline inspection result and pipeline defective information to the government gas supervision object platform.
Provide are a method, IoT system, and storage medium for smart gas construction supervision. The method includes: obtaining monitoring image data from a gas supervision device; determining a project impact level and a project estimated completion time of a gas construction project based on the monitoring image data, sending the project impact level to a gas company management platform, and sending the project estimated completion time to a citizen user platform for announcement and display; determining regulatory parameters based on the project impact level and the project estimated completion time, and sending the regulatory parameters to a gas equipment object platform; obtaining pipeline pressure values through one or more gas pressure regulating devices; determining a fluctuation characteristic or a pressure difference distribution characteristic based on the pipeline pressure values; and generating a pressure regulating instruction based on the regulatory parameters, and the fluctuation characteristic or the pressure difference distribution characteristic.
Disclosed is a method for controlling data transmission for smart gas, comprising: obtaining gas data of a gas user, and storing the gas data into a storage unit; predicting a probability of full storage of the storage unit within a preset future time period based on a historical data increment of the storage unit; in response to the probability of full storage meeting a preset probability condition: obtaining the gas data of the gas user within the preset time period; determining the upload demand degree based on the gas data; and in response to the upload demand degree meeting a preset condition, transmitting the gas data within the preset time period to the smart gas management platform based on the smart gas object platform at a target upload time point of at least one smart gas meter of the gas user.
H04L 67/12 - Protocoles spécialement adaptés aux environnements propriétaires ou de mise en réseau pour un usage spécial, p. ex. les réseaux médicaux, les réseaux de capteurs, les réseaux dans les véhicules ou les réseaux de mesure à distance
Example embodiments of the present disclosure provide a method and an Internet of Things system for gas demand information management based on smart gas. The method includes obtaining gas monitoring data from a plurality of channels; obtaining estimated demand data of a gas enterprise; and generating a monitoring adjustment instruction and a data export instruction based on the gas monitoring data and the estimated demand data; sending the data export instruction to the gas monitoring device corresponding to the at least one channel based on the gas user object platform, the gas equipment object platform, and/or the gas user platform; and causing the gas monitoring device corresponding to the at least one channel to export, based on the data export instruction, the flow log file from a log storage unit to the gas user object platform, the gas equipment object platform, and/or the gas user platform.
Provided are a method, a system, and a storage medium for intelligent diagnosis of a device failure based on an IIoT. The method includes: obtaining device-related data of an abnormal device from a total sensor database; predicting failure warning information of the abnormal device and a confidence level corresponding to the failure warning information based on the device-related data; determining a failure processing parameter based on the failure warning information and the confidence level, and generating a failure processing instruction; and sending the failure processing instruction via the device sensor network platform to a maintenance personnel terminal of the device perception and control platform or to a failure shooting device, and controlling the failure shooting device to perform failure shooting.
A control method, system, and equipment for handling equipment based on an industrial Internet of things (IoT). The method includes: obtaining cargo handling information for cargo to be handled; determining a handling area for the cargo to be handled based on the cargo handling information; obtaining handling equipment information in the handling area; determining target handling equipment within the handling area based on the cargo handling information and the handling equipment information; obtaining target handling equipment information of the target handling equipment; determining a handling parameter of the target handling equipment based on the cargo handling information and the target handling equipment information; generating a handling instruction based on the handling area and the handling parameter, and controlling the target handling equipment; and generating an update instruction in response to each of the target handling equipment completing each handling, updating and displaying a working status of the target handling equipment.
G06F 7/00 - Procédés ou dispositions pour le traitement de données en agissant sur l'ordre ou le contenu des données maniées
B65G 1/137 - Dispositifs d'emmagasinage mécaniques avec des aménagements ou des moyens de commande automatique pour choisir les objets qui doivent être enlevés
Disclosed is a method for guaranteeing a smart gas demand based on a regulatory Internet of Things (IoT). The method is executed by a gas company management platform. The method includes: obtaining a plurality of grid regions by gridding a regulatory scope; predicting a gas demand degree of each of the plurality of grid regions in a future time period based on weather data, people flow data, historical gas data, and a gas consumption plan, and an authenticity degree of the gas consumption plan; determining a scheduling parameter based on the gas demand degree and schedulable resource data in the future time period; and generating a scheduling instruction based on the scheduling parameter, and sending the scheduling instruction to a terminal device corresponding to a schedulable resource device.
G06Q 10/04 - Prévision ou optimisation spécialement adaptées à des fins administratives ou de gestion, p. ex. programmation linéaire ou "problème d’optimisation des stocks"
G06Q 10/0631 - Planification, affectation, distribution ou ordonnancement de ressources d’entreprises ou d’organisations
The present disclosure provides a data management method and device based on IIoT, and an electronic device. The data management method comprises: generating a data acquisition instruction and sending the data acquisition instruction to an object platform, transmitting and storing raw data acquired by the object platform to a first general database; performing a first classification on the raw data to obtain a plurality of first data sets; storing the plurality of first data sets into a plurality of sub-databases, respectively, and transmitting and storing the plurality of first data sets to a second general database; performing a second classification on the first data sets based on function types of service sub-platforms to obtain a plurality of second data sets; and storing the plurality of second data sets into the sub-databases corresponding to different service sub-platforms based on a prioritization of the plurality of second data sets to realize data management.
G06F 16/215 - Amélioration de la qualité des donnéesNettoyage des données, p. ex. déduplication, suppression des entrées non valides ou correction des erreurs typographiques
G06F 16/28 - Bases de données caractérisées par leurs modèles, p. ex. des modèles relationnels ou objet
69.
METHODS AND SYSTEMS FOR DETERMINING DEVICE ANOMALY BASED ON INDUSTRIAL INTERNET OF THINGS
A method and a system for determining a device anomaly based on an industrial Internet of things (IoT). The method includes: generating a data collection instruction based on a preset sampling rate; obtaining, based on the data collection instruction, operation data of at least one target device; determining a data anomaly degree for the at least one target device based on the operation data; in response to determining that the data anomaly degree satisfies a preset condition, determining an abnormal device based on the data source identification of the operation data; generating an anomaly warning instruction based on the abnormal device and the data anomaly degree corresponding to the abnormal device; based on the data anomaly degree, generating and sending a sampling adjustment instruction; and based on the data anomaly degree, generating and sending a storage adjustment instruction.
The embodiments of the present disclosure provide an Internet of Things system for device re-inspection management based on a smart gas Geographic Information System (GIS). A smart gas pipeline network safety management platform of the Internet of Things system is configured to: obtain inspection data of the gas GIS from a smart gas data center; determine target positioning data for placing at least one marking device; determine a monitoring feature; determine an inspection analysis result based on the monitoring feature and the inspection data using an inspection model; determine at least one re-inspection set based on the inspection analysis result; determine at least one re-inspection route based on the at least one re-inspection set, and display visualized data on a GIS map; and send the at least one re-inspection route to a smart gas service platform through the smart gas data center.
The embodiment of the present disclosure provides a method and an Internet of Things (IoT) system for adjusting a pressure of a smart gas pipeline network. The method includes: obtaining gas delivery parameters of a preset point in a gas pipeline branch; obtaining gas data corresponding to the gas pipeline branch; determining an estimated value of a gas loss rate of the gas pipeline branch; determining a confidence level of the estimated value; in response to the confidence level satisfying an update condition, updating the preset point to determine an update point; determining an update confidence level; determining a composite confidence level of the estimated value; determining an adjustment factor; determining the gas loss rate; and in response to the gas loss rate satisfying a first predetermined condition, determining a target operating parameter, and adjusting a pressure of a gas network based on the target operating parameter.
Disclosed is a method and Internet of Things (IoT) system for smart gas pipeline zoning safety supervision, the method includes: determining a plurality of sub-regions by dividing a target region based on a gas pipeline distribution data in the target region; obtaining gas sensor data of each point in the plurality of sub-regions on the gas pipeline; determining, based on the gas sensor data and pipeline data, an actual leakage point on the gas pipeline; determining, based on the gas sensor data and a historical maintenance record, a potential hidden danger point on the gas pipeline. The IoT system includes a government supervision management platform, a government supervision sensor network platform, a government supervision object platform, a gas company sensor network platform, and a gas device object platform that interact in sequence.
Embodiments of the present disclosure provide a method and an Internet of Things system for centralized heating gas supervision based on a supervision platform. The method includes obtaining an indoor environmental feature of each sub-region in a target region and gas consumption data of a heat supply source in the target region by a gas company sensor network plat form, the indoor environmental feature and the gas consumption data being collected by a smart gas device object platform; determining whether heating data in the target region meets a preset condition based on the indoor environmental feature of each sub-region and the gas consumption data; generating an early warning message in response to determining that the heating data does not meet the preset condition, and sending the early warning message to a gas user platform by a gas user service platform.
G05B 19/4155 - Commande numérique [CN], c.-à-d. machines fonctionnant automatiquement, en particulier machines-outils, p. ex. dans un milieu de fabrication industriel, afin d'effectuer un positionnement, un mouvement ou des actions coordonnées au moyen de données d'un programme sous forme numérique caractérisée par le déroulement du programme, c.-à-d. le déroulement d'un programme de pièce ou le déroulement d'une fonction machine, p. ex. choix d'un programme
74.
Methods and systems for safe maintenance of underground pipeline corridor based on smart gas regulatory internet of things
A method and system for safe maintenance of an underground pipeline corridor based on a smart gas regulatory IoT. The method is executed by a gas company management platform of a system for safe maintenance of the underground pipeline corridor based on the smart gas regulatory IoT, and the method includes: determining, based on a safety factor of an inspection region, a mandatory machine inspection region; generating regional planning data based on the mandatory machine inspection region, and the region inspection type of the remaining region; determining a target pipeline corridor region and an inspection instruction based on the regional planning data; determining, based on the safety factor and/or a regional importance degree of the inspection region, a monitoring frequency of an environmental monitoring device and a supervisory equipment in the inspection region, and adjusting the monitoring frequency based on a corresponding control instruction.
The present disclosure provides a method and Internet of Things (IoT) system for monitoring safety of a pipeline network valve well based on smart gas, implemented by a smart gas pipeline network safety management platform of an IoT system for monitoring safety of a pipeline network valve well based on smart gas, comprising: obtaining gas monitoring data of a valve well; obtaining external environmental data of the valve well; determining anomaly assessment data of the valve well based on the gas monitoring data; determining risk assessment data of the valve well based on the external environmental data; determining a target maintenance valve well and a target scheduling strategy based on the anomaly assessment data and the risk assessment data, the target scheduling strategy including a count of scheduling personnel and a volume of scheduling bandwidth; and sending the target scheduling strategy to a smart gas pipeline network maintenance engineering object sub-platform.
The present disclosure provides a method and an Internet of Things system for safety supervision of smart gas operation quality. The method is executed by a government safety supervision management platform, including obtaining initial gas data and first distributed gas data; determining whether the first distributed gas data is abnormal based on the initial gas data; in response to a determination that the first distributed gas data is abnormal, obtaining a residual computing resource, and updating a preset frequency based on the residual computing resource; in response to a determination that a second distributed gas data is abnormal, determining at least one suspect pipeline network segment based on the second distributed gas data; obtaining a first detection data sequence; determining a target regulation parameter based on the first detection data sequence, and generating and transmitting a control instruction to the gas company management platform.
Disclosed is a method for supervising enterprise information based on smart gas, implemented by a smart gas government safety supervision management platform of an IoT system for supervising enterprise information based on smart gas. The method includes: determining a gas data list; determining a correlation between gas terminal enterprises; determining one or more gas terminal enterprise groups; determining, for each group of the one or more gas terminal enterprise groups, a first upload characteristic of gas terminal enterprises in the group; determining a data upload instruction and sending the data upload instruction to a corresponding gas terminal enterprise; obtaining sampling data uploaded by the gas terminal enterprises; determining a second upload characteristic of the gas terminal enterprises in each group of the one or more gas terminal enterprise groups; and generating an upload parameter instruction, which instructs the gas sensing devices to collect and upload auxiliary data.
Disclosed is a method and an Internet of Things (IoT) system for management and control of pipeline corridor emergency materials based on smart gas supervision. The IoT system comprises a smart gas company management platform, a gas equipment object platform, and a government gas supervision management platform. The smart gas company management platform is configured to: obtain at least one of operation and maintenance data, geographic information, and operation filing data of a pipeline corridor; obtain pipeline corridor monitoring data and gas monitoring data of the pipeline corridor through the gas equipment object platform; obtain population data and other pipeline data through the government gas supervision management platform; assess risk responsivities of different storage locations; determine adjustment information of the storage locations; and send the adjustment information to the government gas supervision management platform, and in response to determining that the government gas supervision management platform determines to perform adjustment of the storage locations, enable the smart gas company management platform to adjust, based on the adjustment information, parameters of an environmental adjustment device.
Methods and Internet of Things (IoT) systems for information storage management based on a smart gas data center are provided. The method includes: when a smart gas platform stores data in the smart gas data center, determining an extraction feature and a value feature of sub-target data of target data; and determining a storage level of the sub-target data based on the extraction feature and the value feature of the sub-target data and storing the sub-target data in the smart gas data center according to the storage level; and when the smart gas platform reads the data from the smart gas data center: determining transmission execution data based on a transmission load and an importance score of a target smart gas platform and transmitting the data to the target smart gas platform based on the transmission execution data.
H04L 67/60 - Ordonnancement ou organisation du service des demandes d'application, p. ex. demandes de transmission de données d'application en utilisant l'analyse et l'optimisation des ressources réseau requises
The present disclosure provides a system and method for smart gas full-cycle supervision based on IOT, the method includes: obtaining gas production data; determining base supervision data based on the gas production data; obtaining residual computing resources at a preset frequency; in response to determining that a sum of the reference resource consumption and the residual computing resources satisfying a preset requirement, performing operations including: generating and sending a control instruction to a gas company management platform; evaluating an importance degree of each of the all batches of gas in the target gas based on the target data and the gas production data of the target gas; and adjusting a gas supply volume of the at least one of all batches of gas in the target gas based on the importance degree of the each of the all batches of gas in the target gas and the target data.
H04L 67/12 - Protocoles spécialement adaptés aux environnements propriétaires ou de mise en réseau pour un usage spécial, p. ex. les réseaux médicaux, les réseaux de capteurs, les réseaux dans les véhicules ou les réseaux de mesure à distance
G05B 19/418 - Commande totale d'usine, c.-à-d. commande centralisée de plusieurs machines, p. ex. commande numérique directe ou distribuée [DNC], systèmes d'ateliers flexibles [FMS], systèmes de fabrication intégrés [IMS], productique [CIM]
G16Y 10/35 - Services publics, p. ex. électricité, gaz ou eau
The embodiments of the present disclosure provide a method and an Internet of Things system for determining a smart gas work order set allocation plan. The method includes: obtaining relevant data of the gas device, and uploading the relevant data to a smart gas management platform; extracting work order features of a work order to be assigned based on the relevant data of the gas device; determining a plurality of cluster sets based on a cluster distance between the work order features; determining at least one linked work order set based on the plurality of cluster sets; extracting set features of the linked work order set; determining an assignment scheme of the linked work order set based on the set features; determining an optimal scheme, determining a linkage processing scheme based on the optimal scheme; sending the assignment scheme and the linkage processing scheme to a smart gas service platform.
A method for managing a gas pipeline corridor robot based on regulatory Internet of Things (IoT) is disclosed, the method comprises: obtaining corridor environmental data from a sensing network platform of the gas company; determining a robot inspection command based on the corridor environmental data; sending the robot inspection command to a gas equipment object platform via the sensing network platform of the gas company; obtaining inspection data of the maintenance robot; determining doubtful data based on the inspection data; in response to the presence of the doubtful data, transmitting the doubtful data to a gas customer service platform for manual re-inspection; and obtaining a manual re-inspection result and uploading the manual re-inspection result to a government supervision management platform via a government supervision sensing network platform.
G06Q 10/20 - Administration de la réparation ou de la maintenance des produits
G05B 19/4155 - Commande numérique [CN], c.-à-d. machines fonctionnant automatiquement, en particulier machines-outils, p. ex. dans un milieu de fabrication industriel, afin d'effectuer un positionnement, un mouvement ou des actions coordonnées au moyen de données d'un programme sous forme numérique caractérisée par le déroulement du programme, c.-à-d. le déroulement d'un programme de pièce ou le déroulement d'une fonction machine, p. ex. choix d'un programme
G06Q 50/26 - Services gouvernementaux ou services publics
83.
Methods and internet of things systems for managing safety maintenance of appurtenances of smart gas pipeline network
The method includes: obtaining at least one of gas data and pipeline data based on a gas device object platform; assessing a health state of the appurtenances based on at least one of the gas data and the pipeline data; the health state including at least one of a drainer state and a compensator state; determining at least one maintenance parameter of the appurtenances based on the health state; dynamically adjusting at least one transportation parameter of gas based on the health state and the at least one maintenance parameter; sending at least one adjusted transportation parameter to a gas operation user platform; and determining a maintenance program based on the at least one maintenance parameter, and the at least one adjusted transportation parameter, and uploading the maintenance program to a government safety supervision and management platform.
G06Q 10/20 - Administration de la réparation ou de la maintenance des produits
F17D 3/01 - Dispositions pour la surveillance ou la commande des opérations de fonctionnement pour commander, signaler ou surveiller le transfert d'un produit
F17D 5/00 - Protection ou surveillance des installations
G16Y 10/35 - Services publics, p. ex. électricité, gaz ou eau
The present disclosure provides methods and systems for assessing a pipeline failure based on a smart gas Internet of Things (IoT). The method is implemented by a smart gas safety management platform of an IoT system for smart gas pipeline network safety management, and the method includes obtaining at least one first failure risk in a gas pipeline and a downstream user feature, generating a plurality of candidate gas processing schemes based on the at least one first failure risk, and determining at least one second failure risk based on the at least one first failure risk and at least one of the candidate gas processing schemes.
Methods and Internet of Things (IoT) systems for determining an opening and closing plan of a gas valve of a gas gate station are provided. The method may be implemented through the IoT system. The IoT system may include a smart gas user platform, a smart gas service platform, a smart gas management platform, a smart gas sensor network platform, and a smart gas object platform. The method performed by the smart gas management platform may comprise: obtaining information of a gas emergency based on a call answered by the call center of smart gas; determining severity of the gas emergency based on the information of the gas emergency; and automatically determining the opening and closing plan of the gas valve of the gas gate station based on the severity and the gas supply volume.
G08B 21/16 - Alarmes réagissant aux gaz combustibles
G08B 25/00 - Systèmes d'alarme dans lesquels l'emplacement du lieu où existe la condition déclenchant l'alarme est signalé à une station centrale, p. ex. systèmes télégraphiques d'incendie ou de police
H04W 76/50 - Gestion de la connexion pour les connexions d'urgence
86.
Method and internet of things system for safety inspection based on smart gas geographic information system
Method and Internet of Things system for safety inspection based on a smart gas geographic information system (GIS) are provided. The method comprises: determining a gridding result through performing gridding processing on a gas pipeline network; determining a required inspection area and an optional inspection area based on the gridding result; generating a target inspection route based on the required inspection area and the optional inspection area; determining an inspection plan based on the target inspection route; generating an inspection instruction based on the inspection plan; updating a gas pipeline grid graph based on inspection data after inspecting each inspection area; determining at least one failure possibility of the at least one node or the at least one edge through a failure possibility determination model; determining a grid safety score based on the at least one failure possibility, and determining an updated inspection plan based on the grid safety score.
The embodiments of the present disclosure provide a method, an Internet of Things system and a storage medium for generating an inspection scheme based on smart gas, the method is realized based on a smart gas management platform of the Internet of Things system, including: obtaining, based on first monitoring data at a first location and distance data, second monitoring data at a second location by controlling a drive module to drive a gas leakage inspection device to move; determining, based on the second monitoring data, a necessary inspection point and an inspection frequency of the necessary inspection point; determining, based on the necessary inspection point and the inspection frequency of the necessary inspection point, a first inspection scheme; and controlling the drive module to drive the gas leakage inspection device to inspect a gas pipeline network based on the first inspection scheme.
The present disclosure provides a method for safety monitoring of durability of a gas pipeline corridor based on a monitoring Internet of Things system, comprising obtaining durability monitoring data and traffic vibration data of the pipeline corridor through a gas company sensor network platform, and obtaining road traffic data through a government safety monitoring management platform via a government safety monitoring sensor network platform; determining a traffic correlation based on at least one of the durability monitoring data, the traffic vibration data, or the road traffic data; determining a traffic-affected pipeline corridor based on at least one of the traffic vibration data or the traffic correlation, and reporting the traffic-affected pipeline corridor to a government safety monitoring service platform via the government safety monitoring sensor network platform and the government safety monitoring management platform, and determining whether to carry out traffic control via the government safety monitoring service platform.
A method and a system for supervising safety ventilation of an underground gas pipeline corridor based on Internet of Things (IoT) are provided. The method is executed by a gas company management platform. The method includes obtaining environmental data of a pipeline corridor segment of the underground gas pipeline corridor from a gas equipment object platform via a gas company sensing network platform, and obtaining pipeline corridor data of the underground gas pipeline corridor from a government supervision comprehensive database via a smart gas government safety supervision sensing network platform, wherein the pipeline corridor data include at least one of ventilation data, structural data, and distribution sequence data; determining a corrosion reaction degree of the pipeline corridor segment based on the environmental data and the pipeline corridor data; and adjusting a ventilation intensity of the pipeline corridor segment in response to the corrosion reaction degree meeting a predetermined adjustment condition.
Method for gas supply deployment of smart gas pipeline network and an IoT system thereof are provided, the method including: obtaining historical gas consumption data in the target region; determining target demand information of the target region at a future time point; predicting a target difference amplitude of a gas supply and demand difference at the future time point in the target region; for the target region where the target difference amplitude meets a first preset condition, determining, based on gas statistical data, the target difference amplitude, and environmental data of the target region, a reason for supply and demand difference corresponding to the target region; determining, based on the target difference amplitude and the reason for supply and demand difference, a gas supply adjustment parameter, generating a gas supply adjustment instruction; and in response to remaining storage space meeting a second preset condition, generating a distribution instruction.
The present disclosure provides a method and system for safety control of gas pressure regulator cabinet based on regulatory Internet of Things (IoT). The method may include: determining accident warning information based on light data, air data, and inspection information, sending the accident warning information to a government safety regulatory management platform, and obtaining feedback information from the government safety regulatory management platform; and determining a power use strategy based on power supply information, power storage module information, and power use information of at least one gas pressure regulator cabinet, and sending the power use strategy to the at least one gas pressure regulator cabinet. The system may include: a government safety regulatory service platform, a government safety regulatory management platform, a government safety regulatory sensor network platform, a gas company management platform, a gas company sensor network platform, and a gas device object platform.
F17D 5/06 - Prévention, interception ou localisation des pertes utilisant des moyens électriques ou acoustiques
G01F 25/10 - Test ou étalonnage des appareils pour la mesure du volume, du débit volumétrique ou du niveau des liquides, ou des appareils pour compter par volume des débitmètres
92.
Method and system for safety monitoring of gas facilities in a comprehensive pipeline gallery based on the Internet of Things
The present disclosure provides a method and a system for safety monitoring of gas facilities in a comprehensive pipeline gallery based on IoT, the method includes: obtaining first monitoring data of a gas cabin and second monitoring data of other cabins from at least one monitoring position combination; determining a joint risk of the one or more first monitoring positions based on the first monitoring data and the second monitoring data; determining a maintenance parameter and/or adjusting at least one monitoring parameter based on the joint risk; generating at least one adjustment instruction based on adjustment amount of the monitoring parameter, determining an adjustment priority of the at least one monitoring parameter based on a data uploading intensity of the gas cabin, sending the at least one adjustment instruction to the corresponding one or more first monitoring positions based on the adjustment priority sequentially.
The embodiment of the present disclosure provides a method for gas pipeline network supervision based on smart gas and an Internet of Things system, the method including: obtaining an area to be inspected; determining one or more downstream users based on the area to be inspected, obtaining gas consumption data of each of the one or more downstream users; determining, based on the gas consumption data, peak-valley features of gas consumption at a future time; determining a plurality of optional time points based on the peak-valley features of gas consumption; predicting future gas consumption features based on one or more change values of accessibility, the plurality of optional time points, and the gas consumption data through a prediction model; determining a target inspection time point based on the future gas consumption features; and generating inspection reminder instructions based on the target inspection time point.
G06Q 30/018 - Certification d’entreprises ou de produits
F17D 5/00 - Protection ou surveillance des installations
G06Q 10/0637 - Gestion ou analyse stratégiques, p. ex. définition d’un objectif ou d’une cible pour une organisationPlanification des actions en fonction des objectifsAnalyse ou évaluation de l’efficacité des objectifs
The present disclosure provides a method and IoT system for gas safety warning based on a gas determination scenario. The method is implemented by a smart gas safety management platform of the IoT system for gas safety warning. The method comprises determining the gas determination scenario through a preset determination algorithm based on gas data in a plurality of dimensions, wherein the gas determination scenario includes a first determination scenario or a second determination scenario; determining a dynamic threshold set corresponding to the gas determination scenario through a model based on the gas determination scenario and gas scenario data, wherein the dynamic threshold set includes at least one of warning concentration thresholds, warning slope thresholds, and warning time thresholds; and determining a gas leakage situation based on the gas data and the dynamic threshold set, and issuing gas safety warning.
Disclosed is a method, an IoT system, and a storage medium for maintaining an appurtenant facility of a smart gas pipeline network. The method may include: obtaining historical maintenance data and data collection information of an appurtenant monitoring device and storing the historical maintenance data and data collection information in a storage unit; determining whether the appurtenant monitoring device requires maintenance based on the historical maintenance data and data collection information; in response to determining that the appurtenant monitoring device requires maintenance, determining a maintenance parameter and generating a maintenance instruction; sending the maintenance instruction to an interactive interface; obtaining an evaluation parameter of the storage unit; in response to determining that the evaluation parameter of the storage unit satisfies a preset parameter requirement, generating an adjustment instruction and sending the adjustment instruction to the storage unit.
Disclosed is a method and an Internet of Things (IoT) system for intelligent detection of cathodic protection in a smart gas pipeline. The method may include: obtaining pipeline potential data of a first preset point; obtaining environmental detection data of a second preset point; determining, based on the environmental detection data, a device corrosion degree of the first preset point; obtaining a soil resistivity of a third preset point; determining, based on the soil resistivity, a resistance distribution; obtaining pipeline data and cathodic protection data; determining, based on the pipeline data and the cathodic protection data, an IR drop distribution; determining a cathodic protection effect based on the device corrosion degree, the resistance distribution, the IR drop distribution, and the pipeline potential data; and in response to determining that the cathodic protection effect does not meet a preset condition, issuing an early warning prompt.
Disclosed is a determination and alarm method and a determination and alarm Internet of Things (IoT) system for a gas leakage of smart gas. The determination and alarm method comprises obtaining gas monitoring data based on a data acquisition instruction, and determining whether the gas leakage occurs; in response to occurrence of the gas leakage, generating a control instruction based on a fan operation strategy to control operation of a fan, and obtaining the gas monitoring data under the fan operation strategy; generating a notification instruction based on the gas monitoring data and an operating strategy of an indicator light, and controlling the indicator light to issue an alarm notification based on the notification instruction; and determining a type of the gas leakage by processing the fan operation strategy, the operating condition of the indicator light, and the gas monitoring data of at least one time point.
The present disclosure provides a method and system for hierarchical processing of gas data based on smart gas Internet of Things (IoT). The method is executed via the smart gas IoT. The method includes obtaining gas data sending and receiving information of at least one node in at least one period. The method also includes predicting a gas data communication load of the at least one node in at least one future period based on the gas data sending and receiving information. The method further includes determining a time-sharing processing scheme for the at least one future period based on the gas data communication load of the at least one node in the at least one future period.
A method, system, and medium for gas monitoring and assessment based on Internet of Things. The method is executed by a processor in a smart gas safety management platform of a system for gas monitoring and assessment based on Internet of Things. The method includes: obtaining industrial gas data of a workshop to be monitored based on a smart gas indoor device object platform and uploading the industrial gas data to a smart gas data center through a smart gas indoor device sensor network platform; obtaining regional data of the workshop to be monitored based on a smart gas service platform and uploading the regional data to the smart gas data center through the smart gas indoor device sensor network platform; determining a key sub-region based on the regional data and the industrial gas data.
G01M 3/04 - Examen de l'étanchéité des structures ou ouvrages vis-à-vis d'un fluide par utilisation d'un fluide ou en faisant le vide par détection de la présence du fluide à l'emplacement de la fuite
100.
METHOD AND INTERNET OF THINGS (IOT) SYSTEM FOR DETERMINING INSPECTION ROUTE FOR SMART GAS
The embodiments of the present disclosure provide a method and an Internet of Things (IoT) system for determining an inspection route for smart gas. The method includes: obtaining gas safety hazard data of a gas pipeline network; dividing the gas pipeline network into one or more gas inspection units through a first preset algorithm based on geographic information data, environmental data, and a pipeline type of the gas pipeline network; assigning one or more gas safety hazard items to each of the gas inspection units based on the gas safety hazard data corresponding to the gas inspection unit; determining a processing plan of the gas inspection unit; determining potential safety hazard data of different gas inspection units through a potential safety hazard prediction model; and determining the inspection route through a second preset algorithm based on the potential safety hazard data, the processing plan, and a Geographic Information System.
F17D 3/01 - Dispositions pour la surveillance ou la commande des opérations de fonctionnement pour commander, signaler ou surveiller le transfert d'un produit
G16Y 10/35 - Services publics, p. ex. électricité, gaz ou eau
G16Y 20/10 - Information détectée ou collectée par les objets relative à l’environnement, p. ex. la température relative à l’emplacement
G16Y 40/35 - Gestion des objets, c.-à-d. commande selon une stratégie ou dans le but d'atteindre des objectifs déterminés
G16Y 40/50 - SûretéSécurité des objets, des utilisateurs, des données ou des systèmes
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