An integrated development environment (IDE) for designing, programming, and configuring aspects of an industrial automation system uses a generative artificial intelligence (AI) model and associated neural networks to generate portions of an industrial automation project in accordance with functional requirements provided to the industrial IDE system in intuitive formats, such as spoken or written plain language text. The system uses generative AI to translate plain language requests or functional specifications into industrial control code, human-machine interface (HMI) applications, device configuration settings, or other aspects of an industrial control project.
An industrial device includes a housing defining a cavity and comprising a cover. The cover includes a first surface, a second surface, and a lens housing portion extending between the first surface and the second surface, the lens housing portion including a receptacle to house a lens. The receptacle includes a first end and a second end, the first end comprising a rear wall and a rear protrusion extending from the rear wall to form a top rear interface configured to oppose a first compressive force during formation of the lens to secure the lens within the receptacle. The receptacle further includes a first side comprising a lateral wall and a lateral protrusion extending from the lateral wall to form a first rear lateral interface configured to oppose a second compressive force during the formation of the lens to secure the lens within the receptacle.
An integrated development environment (IDE) for uses a generative artificial intelligence (AI) model to generate industrial control code in accordance with functional requirements provided to the industrial IDE system as natural language prompts. The system's generative AI model leverages both a code repository storing sample control code and a document repository that stores device or software manuals, program instruction manuals, functional specification documents, or other technical documents. These repositories are synchronized by digitizing selected portions of document text from the document repository into control code for storage in the code repository, as well as contextualizing control code from the code repository into text-based documentation for storage in the document repository.
G05B 19/05 - Automates à logique programmables, p. ex. simulant les interconnexions logiques de signaux d'après des diagrammes en échelle ou des organigrammes
G06F 8/35 - Création ou génération de code source fondée sur un modèle
An integrated development environment (IDE) for designing, programming, and configuring aspects of an industrial automation system uses a generative artificial intelligence (AI) model and associated neural networks to generate portions of an industrial automation project in accordance with functional requirements provided to the industrial IDE system in intuitive formats, such as spoken or written plain language text. The system uses generative AI to translate plain language requests or functional specifications into industrial control code, human-machine interface (HMI) applications, device configuration settings, or other aspects of an industrial control project.
An industrial automation system includes one or more industrial automation devices and a control system, wherein the control system includes processing circuitry and a memory that may store instructions that, when executed by the processing circuitry, cause the processing circuitry to receive multiple input variables associated with one or more operations of the one or more industrial automation devices over a period of time, and receive fault data corresponding to the one or more industrial automation devices, identify at least one correlation between at least one input variable of the multiple input variables and the fault data, determine at least one weight for the at least one input variable based on the at least one correlation, and generate a model for identifying a root cause of a fault based on the plurality of input variables, the fault data, and the at least one weight.
The disclosure describes a network topology service that generates and maintains industrial network topologies based on passively obtained event logs. The event logs are generated by various devices in an industrial automation environment and collected and stored by a collector. The network topology service retrieves the event logs from the collector and analyzes the event logs to make inferences about the network topology. The network topology service generates and updates the network topology based on these inferences.
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
7.
GENERATIVE AI INDUSTRIAL EQUIPMENT ANOMALY DETECTION AND PREDICTION
An industrial digital insights system acts as an interactive assistant that leverages generative artificial intelligence (AI) techniques to monitor operation of industrial assets, predict operational anomalies, and formulate recommendations or control countermeasure for mitigating these performance issues. The system makes use of relevant contextual data retrieved from stored documentation to assist the system's generative AI model in learning normal trends of operation, predicting future operational trends, inferring future performance problems, and recommending accurate countermeasures for avoiding these issues. The system can also leverage generative AI to formulate and present proactive asset management recommendations based on analysis of the customer's assets and their usage.
A method of controlling movement of a mover along a track of a linear drive system includes obtaining track data from simulated or actual movement of the mover along the track. The method includes determining, based on the track data, a value of angular misalignment between at least one drive coil of the track and a magnet array of the mover due to curvature of one of multiple track sections. The method also includes determining, based on the value of angular misalignment, a correction for a control of at least one of the drive coils. The method also includes operating the at least one of the drive coils according to the correction for the control to compensate for the angular misalignment.
An industrial integrated development environment (IDE) includes analytic features that generate control project telemetry data based on analysis of a control system design and uses this project telemetry data as the basis for control system design guidance and recommendations. The IDE system can analyze the control system design and identify industrial devices use by the control project, device features that are utilized by the control project, resource utilizations, and other such project telemetry. The IDE system can generate recommendations for improving the control system design based on this project telemetry. The project telemetry data can also be provided to product vendors, offering insights into how the vendors' products are being used by end customers.
A method includes a client device establishing a first data link with a human interface module (HIM) device in an industrial automation environment. The client device instructs the HIM device to create a socket and to connect the socket to an automation device in the industrial automation environment, the automation device being connected to the HIM device by a second data link, and to forward session setup messages for a secure session over the second data link to the automation device. The client device may then secure operational messages associated with an industrial communication protocol using a key associated with the secure session, thereby generating secure messages. The client device instructs the HIM device, via the first data link, to forward the secure messages over the second data link to the socket on the automation device.
A method includes identifying a driver that enables an endpoint management agent running on a host device communicatively coupled to a subnet of an operational technology (OT) network to patch a target device on the subnet of the OT network, transmitting the driver to the endpoint management agent running on the host device, generating a sequence of patches to be installed on one or more target devices on the OT network, wherein the one or more target devices includes the target device, transmitting the patch to the endpoint management agent running on the host device, and receiving, from the endpoint management agent running on the host device, confirmation that the target device has been patched, wherein patching the target device comprises installing software, installing firmware, updating software, updating firmware, removing software, removing firmware, or any combination thereof, via the driver
A method includes receiving, from a server, a man-in-the-middle (MITM) detection driver that enables an endpoint management agent running on processing circuitry to detect an MITM device on a subnet of an operational technology (OT) network, executing the MITM detection driver, providing, to a first OT device, a command to transmit a ping to a second OT device along a wired connection, receiving, from the first OT device, an elapsed time between transmitting the ping and receiving a response, comparing the elapsed time to an expected transmission time, in response to the elapsed time being at least a threshold percentage different from the expected transmission time, determining that the MITM device is disposed between the first and second OT devices along the wired connection, and generating a notification that the MITM device has been detected between the first and second OT devices along the wired connection.
A non-transitory, tangible, computer readable medium including instructions for generating industrial automation projects that, when executed by processing circuitry, causes the processing circuitry to perform operations including requesting a plurality of documents associated with an industrial automation system, receiving one or more documents of the plurality of documents, extracting contextual data from the one or more documents, and generating an industrial automation project file by applying machine learning techniques on the contextual data, where the industrial automation system is configured to perform an industrial automation process based on the industrial automation project.
A system for generating a human-machine interface (HMI) from control code having standard objects. Control code is generated from a model of an automation system suitable for generating a three-dimensional rendering of the automation system and simulating the automation system. The model may also be used for is used for SIL and HIL testing. Standard objects form the control code are used to generate an HMI that includes status indicators for an actuator and control elements for an actuator. The generated HMI is linked to the data sources for the status indicators and the actuator controlled by the control elements. Interacting with the HMI causes a change in the behavior (e.g., position, etc.) of the actuators and results in affecting a condition of the process control environment.
G05B 19/409 - 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 l'utilisation de l'entrée manuelle des données [MDI] ou par l'utilisation d'un panneau de commande, p. ex. commande de fonctions avec le panneauCommande 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 les détails du panneau de commande ou par la fixation de paramètres
15.
GENERATIVE AI INDUSTRIAL AUTOMATION SOFTWARE INPUT TOOLS
A human-machine interface (HMI) development system leverages a generative AI model to assist in development of HMI projects in accordance with specified functional requirements, which can be provided to the development system as intuitive natural language spoken or written text. The system can formulate and implement HMI project edits during design time based on analysis of this natural language design input. After the HMI project is deployed as a runtime application, the system can also receive and process natural language requests to modify the runtime HMI in accordance with described modification criteria.
An industrial controller supports deterministic execution of control programs (e.g., ladder logic, function block diagrams, structured text, or other such control code) and is also capable of executing non-deterministic execution cycles, including mathematical optimization algorithms—in which a systematic search in a solution space is performed to identify a desired solution—or machine learning algorithms, either of which can be used by the controller to dynamically update the deterministic control program or code based on current or predicted states of the automation system being controlled by the controller.
G05B 13/02 - Systèmes de commande adaptatifs, c.-à-d. systèmes se réglant eux-mêmes automatiquement pour obtenir un rendement optimal suivant un critère prédéterminé électriques
17.
GENERATIVE AI INDUSTRIAL AUTOMATION VISUALIZATION PROJECT SMART SEARCHING
A human-machine interface (HMI) development system leverages a generative AI model to assist in development of HMI projects in accordance with specified functional requirements, which can be provided to the development system as intuitive natural language spoken or written text. The system can formulate and implement HMI project edits during design time based on analysis of this natural language design input. After the HMI project is deployed as a runtime application, the system can also receive and process natural language requests to modify the runtime HMI in accordance with described modification criteria.
A method for real-time determination of steady state device utilization includes receiving a cycle start signal at a controller for a controlled device and measuring a feedback signal from a sensor configured to monitor the controlled device through a cycle of operation. The feedback signal corresponds to an operating state of the controlled device. An average value of the feedback signal is obtained for the cycle of operation, and the steady state device utilization of the controlled device is determined. The controlled device achieves the steady state device utilization over multiple future cycles, and the steady state device utilization is determined in real-time as a function of an average value obtained during the cycle of operation for which the feedback signal is measured.
G05B 6/02 - Dispositions de rétroaction interne pour obtenir des caractéristiques particulières, p. ex. proportionnelles, intégrales ou différentielles électriques
19.
MODULAR SYSTEM WITH CABLE TERMINAL ISOLATION FOR AN INDUSTRIAL AUTOMATION SYSTEM
The present technology relates to a modular industrial automation system that is compliant with 4B separation standards from the International Electrotechnical Commission (IEC) for standard number 61439. In particular, when modular industrial automation systems are implemented, the terminals in the electrical cabling cabinet must be properly electrically isolated to meet requirements. However, due to space limitations, the addition of multiple components horizontally within the system creates horizontal access and isolation issues. Further, due to the space limitations, physically accessing the terminals becomes challenging. As yet another challenge, the cabinet may suffer from overheating issues due to the size of the space and the configuration of the terminals. Finally, to be fully compliant, each terminal within the cabinet must be compliant. Accordingly, the design disclosed allows for avoiding overheating while meeting the requirements and providing accessible terminals.
The present technology relates to artificial intelligence assisted device troubleshooting. In an implementation, an interface service of a human machine interface application trains a machine learning model on the content of an embeddings database. The interface service then receives an input comprising a context of an automation system design. The interface service generates a prompt that includes an instruction for the ML model to identify an anomaly type associated with the context of the automation system design and to generate a solution that addresses the anomaly type. The interface service transmits the prompt to the ML model and receives a response from the ML model that includes the anomaly type and the requested solution. After receiving a response, the interface service may modify the automation system design based on the content of the response and surface a graphical user interface that includes the modified design.
A motor drive utilizes an initial commissioning run to determine torque at a desired location along a drivetrain in real-time using an initial commissioning reference signal. Subsequent reference signals, corresponding to a desired operation of the motor after commissioning, are received at the motor drive. An output current from the motor drive is generated to control operation of the motor responsive to the subsequent reference signal. The output current from the motor drive is measured as it is supplied to the motor while executing the subsequent reference signal. An electromagnetic torque for the motor is determined using the motor drive as a function of the output current measured while executing the subsequent reference signal. The torque is determined at the location along the drivetrain while executing the subsequent reference signal as a function of the electromagnetic torque and of the torque determined at the location during the commissioning run.
Described systems and methods may enable control of equipment using a response generated by an LLM and a model for the equipment. The techniques may include receiving a prompt related to an operation of an industrial automation equipment. The techniques may also include providing the prompt as an input to a Large Language Model (LLM) that stores information related to the industrial automation equipment. Further, the techniques include retrieving identifier information as an output of the LLM. Further still, the techniques include determining that a process parameter related to the operation of the industrial automation equipment is accessible by the computing system based on the identifier information. Further still, the techniques include obtaining a model for the operation based on the process parameter being accessible, generating a response to the prompt based on the model, controlling the industrial automation equipment based on the response.
A method for generating a rendering of industrial equipment for use in an interactive virtual environment within a metaverse platform includes receiving a render request identifying a three-dimensional (3D) model of the industrial equipment to be rendered, receiving virtual object data associated with the 3D model to be rendered, and generating and transmitting, to the metaverse platform and based on the virtual object data, a 3D model rendering for use in representing the industrial equipment in the interactive virtual environment within the metaverse platform. The 3D model rendering is generated subject to a conversion constraint comprising a tokenized cost associated with generating the 3D model rendering.
Described herein are methods and systems for providing a suite assistant associated with a suite of industrial automation software applications. The suite assistant receives queries from a user via an interface that requests assistance with some aspect of industrial automation system design, management, evaluation, diagnostics, and the like. The suite assistant processes the query, identifies an industrial automation software application that is most beneficial with respect to the query and identifies one or more selections for configurable elements of the software application. The suite assistant then deploys an instance of the industrial automation software application, prepopulates the industrial automation software application with the selections and configurations, and provides the preconfigured industrial automation software application to the user via the interface in response to the query.
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 51/02 - Messagerie d'utilisateur à utilisateur dans des réseaux à commutation de paquets, transmise selon des protocoles de stockage et de retransmission ou en temps réel, p. ex. courriel en utilisant des réactions automatiques ou la délégation par l’utilisateur, p. ex. des réponses automatiques ou des messages générés par un agent conversationnel
25.
Systems and Methods to Track Sources of Data Value Modifications in Industrial Devices Within Industrial Systems
Systems, industrial devices, and methods to track sources of data value modifications in industrial devices within industrial systems. One industrial device includes one or more electronic processors to: detect a data value write operation at the industrial device; generate a data packet corresponding to the data value write operation, the data packet to include source information that indicates a source of the data value write operation; and transmit the data packet to a remote device, the remote device to facilitate diagnostics of the industrial system based on the data packet.
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
26.
SYSTEMS AND METHODS OF MULTI-CATEGORY MOVER DEVICE COORDINATION
Systems and methods to control multiple categories of movers in a track-based environment. The system includes or more processors coupled with memory. The processors obtain first data that can indicate a first characteristic of a first mover of a first category of movers. The processors obtain second data that can indicate a second characteristic of a second mover of a second category of movers. The processors determine a task that includes a first action and a second action. The processors determine that the first mover can perform the first action and that the second mover can perform the second action. The processors generate a data structure to cause the first and second movers to perform the first and second actions. The processors provide a first portion of data structure to the first mover and a second portion of the data structure to the second mover, to perform the task.
Systems, methods, and apparatuses of hierarchical mover subordination are provided. The system can obtain an indication of a task, and can determine a parameter of the mover of the first category and a parameter of the mover of the second category. The system can assign, based on the parameter of the mover of the first category, the parameter of the mover of the second category, and the indication of the task, a first hierarchical ranking to the mover of the first categorasy and a second hierarchical ranking to the mover of the second category. The system can provide an instruction to the mover of the first category to execute the task, which can cause the mover of the first category to provide an instruction to the mover of the second category, to cause the mover of the second category to take an action.
Systems, methods, and apparatuses of mover (or other track-based or autonomous mover component) synchronization are provided. A system may include a track-based mover. A system may include a non-track-based mover. A system may include one or more processors coupled with memory to: obtain a track coordinate of the track-based mover on a track, obtain a non-track coordinate of the non-track-based mover, provide a first control signal to cause the track-based mover to arrive at the track coordinate within a first time range, provide a second control signal to cause the non-track-based mover to arrive at the non-track coordinate within a second time range; and provide a third control signal to cause the transfer of a payload between the track based mover to the non-track based mover with the track-based mover located at the track coordinate and the non-track-based mover located at the non-track coordinate.
Industrial automation blockchain data management (e.g., using a computerized tool) is enabled. For example, a system can comprise: a transfer component that, using a defined conversion algorithm, converts first data from a first industrial blockchain to second data applicable to a second industrial blockchain, other than the first industrial blockchain, a blockchain component that writes the second data to the second industrial blockchain, and a user interface component that renders an output indicative of the writing of the second data to the second industrial blockchain.
H04L 9/00 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité
H04L 9/30 - Clé publique, c.-à-d. l'algorithme de chiffrement étant impossible à inverser par ordinateur et les clés de chiffrement des utilisateurs n'exigeant pas le secret
30.
SYSTEMS AND METHODS FOR DIFFERENTIATING BETWEEN INRUSH CURRENT AND SHORT CIRCUIT CURRENT
Described herein are methods and systems for efficiently and accurately distinguishing between the current characteristics associated with inrush current and the current characteristics associated with a short circuit. In particular, the techniques described herein allow a circuit breaking system (also referred to as a circuit breaking device) to tolerate the conditions associated with inrush current while maintaining the ability to detect and responsively mitigate conditions associated with a short circuit. In some cases, the circuit breaking system evaluates the current characteristics of an input signal generated by a power supply in order to drive an industrial device, such as a motor. In such cases, the circuit breaking system acts as an intermediary between the power supply and the industrial device, and under certain circumstances, the circuit breaking system interrupts the flow of electrical energy (i.e., the input signal) to the industrial device, thereby tripping the circuit breaking system.
H02H 1/04 - Dispositions pour prévenir la réponse à des conditions transitoires anormales, p. ex. à la foudre
H02H 3/00 - Circuits de protection de sécurité pour déconnexion automatique due directement à un changement indésirable des conditions électriques normales de travail avec ou sans reconnexion
H02H 3/093 - Circuits de protection de sécurité pour déconnexion automatique due directement à un changement indésirable des conditions électriques normales de travail avec ou sans reconnexion sensibles à une surcharge avec des moyens de temporisation
H02H 7/08 - Circuits de protection de sécurité spécialement adaptés aux machines ou aux appareils électriques de types particuliers ou pour la protection sectionnelle de systèmes de câble ou de ligne, et effectuant une commutation automatique dans le cas d'un changement indésirable des conditions normales de travail pour moteurs dynamo-électriques
31.
USING SOFTWARE ENCODED PROCESSING TO ACHIEVE A SIL RATING FOR SAFETY APPLICATIONS EXECUTED IN THE CLOUD OR IN NON-SAFETY RATED SERVERS
A cloud-based industrial safety system executes safety applications and interfaces with industrial assets on the plant floor using software encoded processing (SEP). The use of SEP ensures safety reliable execution of safety applications and data communication software by redundantly executing native code, thereby implementing a level of software-based fault detection that is independent of the hardware on which the safety application operates. This allows the cloud-based industrial safety applications to achieve at least SIL3 safety ratings for safety services even though the safety applications are executed using standard COTS hardware that is commonplace in the server market. The use of SEP to reliably execute safety software on the cloud can make possible a wide variety of safety applications that would be difficult to implement using purely localized industrial safety systems.
G05B 19/042 - Commande à programme autre que la commande numérique, c.-à-d. dans des automatismes à séquence ou dans des automates à logique utilisant des processeurs numériques
32.
GENERATIVE AI INDUSTRIAL AUTOMATION EVENT BASED PROMPT ENGINEERING
A human-machine interface (HMI) development system leverages a generative AI model to assist in development of HMI projects in accordance with specified functional requirements, which can be provided to the development system as intuitive natural language spoken or written text. The system can formulate and implement HMI project edits during design time based on analysis of this natural language design input. After the HMI project is deployed as a runtime application, the system can also receive and process natural language requests to modify the runtime HMI in accordance with described modification criteria.
G05B 13/02 - Systèmes de commande adaptatifs, c.-à-d. systèmes se réglant eux-mêmes automatiquement pour obtenir un rendement optimal suivant un critère prédéterminé électriques
33.
GENERATIVE AI INDUSTRIAL AUTOMATION VISUALIZATION PROJECT IMPORTATION AND CONVERSION
A human-machine interface (HMI) development system leverages a generative AI model to assist in development of HMI projects in accordance with specified functional requirements, which can be provided to the development system as intuitive natural language spoken or written text. The system can formulate and implement HMI project edits during design time based on analysis of this natural language design input. After the HMI project is deployed as a runtime application, the system can also receive and process natural language requests to modify the runtime HMI in accordance with described modification criteria.
G05B 19/409 - 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 l'utilisation de l'entrée manuelle des données [MDI] ou par l'utilisation d'un panneau de commande, p. ex. commande de fonctions avec le panneauCommande 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 les détails du panneau de commande ou par la fixation de paramètres
G05B 19/408 - 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 maniement de données ou le format de données, p. ex. lecture, mise en mémoire tampon ou conversion de données
G06F 8/38 - Création ou génération de code source pour la mise en œuvre d'interfaces utilisateur
34.
SCHEMATIC-BASED COMPREHENSIVE PART LIST GENERATION LEVERAGING GENERATIVE ARTIFICIAL INTELLIGENCE
The disclosure describes an industrial resource service that leverages a generative artificial intelligence (GAI) model to facilitate the creation of industrial part-number lists based on schematics. Upon obtaining a schematic from a user, the industrial resource service generates one or more resource prompts tasking the GAI model to identify specific physical components within the schematic. The industrial resource service then builds the list of part numbers by mapping the identified physical components to part-numbers. The industrial resource service then provides the list of part numbers to a requesting user.
Disclosed is a corrosion resistant power electronic module having a metal-ceramic substrate including a ceramic layer and a metallic layer, where the metallic layer includes metal bonded to the ceramic layer such that trenches are formed between portions of the metal through which the surface of the ceramic layer is exposed. In a first embodiment, portions of the exposed surface of the ceramic layer are melted in the trenches to modify the surface layer, lowering the roughness, which inhibits corrosion growth in corrosive gas environments. In a second embodiment, a barrier material is disposed within the trenches and bonded to the exposed surface of the ceramic layer such that once bonded, the barrier material does not physically contact the metal of the metallic layer. In a third embodiment, the ceramic layer comprises a high density, ultra-low roughness ceramic insulator.
H01L 23/498 - Connexions électriques sur des substrats isolants
C04B 37/02 - Liaison des articles céramiques cuits avec d'autres articles céramiques cuits ou d'autres articles, par chauffage avec des articles métalliques
H01L 21/48 - Fabrication ou traitement de parties, p. ex. de conteneurs, avant l'assemblage des dispositifs, en utilisant des procédés non couverts par l'un uniquement des groupes ou
H01L 23/057 - ConteneursScellements caractérisés par la forme le conteneur étant une structure creuse ayant une base isolante qui sert de support pour le corps semi-conducteur les connexions étant parallèles à la base
Industrial blockchain enabled automation control (e.g., using a computerized tool) is enabled. For example, a system can comprise: a memory that stores executable components, a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: an authorization component that determines, according to a defined authorization criterion, authorization of a request for a license for industrial automation software, and a license component that, in response to the determination by the authorization component that the request is authorized, mints a non-fungible token comprising the license for the industrial automation software.
H04L 9/00 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité
G06Q 40/06 - Gestion de biensPlanification ou analyse financières
37.
SYSTEMS AND METHODS FOR DYNAMIC INDUSTRIAL DATA INTEGRATION PIPELINE WITH COMPONENTS THAT AUTOMATICALLY BUILD DATA LINEAGE AND CONTEXT AS PART OF THE PIPELINE EXECUTION
A non-transitory computer readable medium stores instructions that, when executed by processing circuitry, cause the processing circuitry to receive, at a data integration pipeline, operational data generated by a data source during operation of an industrial automation system, generate context data for the operational data, wherein the context data identifies the data source of the operational data, generate lineage data for the operational data, wherein the lineage data includes a chain of custody of the operational data from the data source to the data integration pipeline, and transmit the operational data, the context data, and the lineage data for storage, processing, integration, display, or a combination thereof.
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
38.
SYSTEMS AND METHODS FOR INDUSTRIAL DATA INTEGRATION PIPELINE WITH TARGET COMPUTE BASED ADJUSTABILITY
A non-transitory computer readable medium stores instructions that, when executed by processing circuitry, cause the processing circuitry to receive a command to deploy a data integration pipeline configured to process operational data generated during operation of an industrial automation system, retrieve a data integration pipeline template from a library, wherein the data integration pipeline template includes a plurality of generic components, build the data integration pipeline by replacing the plurality of generic components with a plurality of respective runtime components based on one or more compute capabilities of a runtime environment, and deploying the data integration pipeline to the runtime environment.
A non-transitory computer readable medium storing instructions that, when executed by processing circuitry, cause the processing circuitry to receive, at a data integration pipeline, data indicative of an event or a condition, wherein the event or the condition is related to safety or security of an industrial automation system, generate an alert in response to the event or the condition, identifying an action to address the event or the condition, and automatically initiating the action.
A human-machine interface (HMI) development system leverages a generative AI model to assist in development of HMI projects in accordance with specified functional requirements, which can be provided to the development system as intuitive natural language spoken or written text. The system can formulate and implement HMI project edits during design time based on analysis of this natural language design input. After the HMI project is deployed as a runtime application, the system can also receive and process natural language requests to modify the runtime HMI in accordance with described modification criteria.
G05B 19/409 - 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 l'utilisation de l'entrée manuelle des données [MDI] ou par l'utilisation d'un panneau de commande, p. ex. commande de fonctions avec le panneauCommande 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 les détails du panneau de commande ou par la fixation de paramètres
41.
GENERATIVE AI AUTOMATION VISUALIZATION REVERSE PROMPT ENGINEERING
A human-machine interface (HMI) development system leverages a generative AI model to assist in development of HMI projects in accordance with specified functional requirements, which can be provided to the development system as intuitive natural language spoken or written text. The system can formulate and implement HMI project edits during design time based on analysis of this natural language design input. After the HMI project is deployed as a runtime application, the system can also receive and process natural language requests to modify the runtime HMI in accordance with described modification criteria.
A human-machine interface (HMI) development system leverages a generative AI model to assist in development of HMI projects in accordance with specified functional requirements, which can be provided to the development system as intuitive natural language spoken or written text. The system can formulate and implement HMI project edits during design time based on analysis of this natural language design input. After the HMI project is deployed as a runtime application, the system can also receive and process natural language requests to modify the runtime HMI in accordance with described modification criteria.
G05B 13/02 - Systèmes de commande adaptatifs, c.-à-d. systèmes se réglant eux-mêmes automatiquement pour obtenir un rendement optimal suivant un critère prédéterminé électriques
A work order management system automates the process of scheduling maintenance tasks and generating corresponding work orders via analysis of monitored data generated by the industrial assets. The work order management system can monitor status and operational data from industrial devices on the plant floor and initiate creation of work orders based on a determination that the monitored industrial data indicates a current or predicted performance risk requiring investigation or maintenance. The system can leverage generative artificial intelligence (AI) or other types of AI in connection with determining when and how to schedule a maintenance task intended to mitigate asset risk. The system dynamically updates the work orders in response to changing contextual conditions within the plant to ensure that work order priority, scheduling, and resource allocations satisfy a defined maintenance optimization criterion.
G06Q 10/20 - Administration de la réparation ou de la maintenance des produits
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 10/0635 - Analyse des risques liés aux activités d’entreprises ou d’organisations
G06Q 10/087 - Gestion d’inventaires ou de stocks, p. ex. exécution des commandes, approvisionnement ou régularisation par rapport aux commandes
44.
INDUSTRIAL AUTOMATION DESIGN ENVIRONMENT PROMPT ENGINEERING FOR GENERATIVE AI
An integrated development environment (IDE) for designing, programming, and configuring aspects of an industrial automation system uses a generative artificial intelligence (AI) model and associated neural networks to generate portions of an industrial automation project in accordance with functional requirements provided to the industrial IDE system in intuitive formats, such as spoken or written plain language text. The system uses generative AI to translate plain language requests or functional specifications into industrial control code, human-machine interface (HMI) applications, device configuration settings, or other aspects of an industrial control project.
G05B 19/408 - 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 maniement de données ou le format de données, p. ex. lecture, mise en mémoire tampon ou conversion de données
G05B 19/4063 - Contrôle du système de commande général
G05B 19/409 - 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 l'utilisation de l'entrée manuelle des données [MDI] ou par l'utilisation d'un panneau de commande, p. ex. commande de fonctions avec le panneauCommande 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 les détails du panneau de commande ou par la fixation de paramètres
45.
System and Method of Priority Mover Order in an Independent Cart System
A vehicle route for an independent cart system is dynamically modified by assigning a first priority level to a first mover and identifying a first destination for the first mover. The first mover is located on a first track segment, and the first destination is located on a second track segment. The first priority level and the first destination are transmitted from a first segment controller for the first track segment to a second segment controller for a track segment present between the first and second track segments. The first priority level is received at the second segment controller and compared to a second priority level for a second mover. When the first priority level is greater than the second priority level, the second mover is commanded to transition to a track segment other than the track segments present between the first and second track segments.
One implementation of the present disclosure is a digital architecture system including a subsystem configured to execute an operation. The subsystem can include a digital functional component. The system can include an edge device communicatively coupled to the subsystem. The edge device can include a processor configured to determine a desired update for the digital functional component. The processor can retrieve the desired update from a content repository. The processor can determine whether the desired update would interrupt the operation. The processor can install the desired update on the digital functional component, responsive to a determination that the operation would not be interrupted.
An integrated development environment (IDE) for designing, programming, and configuring aspects of an industrial automation system uses a generative artificial intelligence (AI) model and associated neural networks to generate portions of an industrial automation project in accordance with functional requirements provided to the industrial IDE system in intuitive formats, such as spoken or written plain language text. The system uses generative AI to translate plain language requests or functional specifications into industrial control code, human-machine interface (HMI) applications, device configuration settings, or other aspects of an industrial control project.
G05B 19/409 - 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 l'utilisation de l'entrée manuelle des données [MDI] ou par l'utilisation d'un panneau de commande, p. ex. commande de fonctions avec le panneauCommande 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 les détails du panneau de commande ou par la fixation de paramètres
48.
CONTAINER ORCHESTRATION BASED ON INDUSTRIAL DESIGN ENVIRONMENT CONTROL ARCHITECTURE
A non-transitory computer readable medium stores instructions that, when executed by a processor, cause the processor to receive a request to deploy a container within an industrial automation system to perform a data processing task, wherein the industrial automation system includes a plurality of devices each having a compute surface configured to perform one or more software tasks, retrieve a project code file for the industrial automation system that represents a structure of the industrial automation system, one or more functions of the industrial automation system, and computing resources available within the industrial automation system, identify, based on the data processing task and the project code file, a respective compute surface of a particular device of the plurality of devices to which to deploy the container, and deploy the container to the respective compute surface of the particular device to perform the data processing task.
An industrial extract, transform, and load (ETL) system extracts and transfers data from proprietary industrial systems and devices to cloud-level systems or other higher level applications. The industrial ETL system uses application connectors that are designed to interface with various types commonly used or proprietary industrial systems and devices—including but not limited to industrial controllers, open platform communications (OPC) servers, databases, MQ telemetry transport (MQTT) brokers, motor drives, telemetry devices, etc.—and to extract data from those systems in a manner that reduces the impact on those systems' core functionalities relative to conventional ETL approaches. The system's application connectors use the same technology stack to communicate with multiple different devices and systems that are commonly found in industrial software architectures.
A non-transitory computer-readable medium may include computer-executable instructions that, when executed, cause a processor system to perform operations including receiving an indication of a computing device being accessible to the processor system, such that the processor system is communicatively coupled to the computing device via a data backplane and the indication is received from the computing device. The processor system may also receive a request to perform a plurality of operations, determine a distribution of the plurality of operations between the processor system and the computing device, and instantiate a plurality of application programming interfaces (APIs) to perform the plurality of operations using the processor system and the computing device.
The present technology relates to soft-starts of alternating current (AC) motors, and particularly, to controlling a soft-start of an AC motor using a configuration of transistors and diodes. A system may include processing circuitry and gating circuitry. The gating circuitry may include a first transistor coupled to an AC voltage supply, a second transistor coupled to the first transistor and to an AC motor, a first diode coupled across current path terminals of the first transistor, and a second diode coupled across current path terminals of the second transistor. The processing circuitry may be configured to monitor voltage and current of the AC voltage supply and provide gating signals to the control terminals of the first and second transistors to control operations of the first and second transistors based at least in part on one or more desired firing angles and the voltage or current of the AC voltage supply.
H02P 1/52 - Dispositions de démarrage de moteurs électriques ou de convertisseurs dynamo-électriques pour faire démarrer des machines dynamo- électriques ou des convertisseurs dynamo-électriques pour faire démarrer individuellement un moteur synchrone par accroissement progressif de la fréquence d'alimentation du moteur
52.
Heartbeat Diagnostic for Fast Detection of Communications Loss
Systems, methods, devices, and media for detecting communications faults in a control system. An example method includes using faster heartbeat messages during active communication periods between a first device and a second device to provide faster detection of communications faults. Then, during inactive communication periods, the method includes using slower (baseline level) heartbeat messages such that the first device and the second device conserve computing resources. As a result, high levels of safety integrity can be provided within a control system 100 without excessively using computing resources.
A system can include one or more memory devices storing instructions executed by one or more processors. The one or more processors can receive a public key of a device of an industrial automation system corresponding to a private key of the device. The one or more processors can receive a request to grant the device a license to enable a feature of the device or access a feature of the industrial automation system. The one or more processors can generate a certificate including the public key of the device and an indication of the license in a non-encrypted format. The one or more processors can transmit the certificate to the device to cause the device to enable the feature of the device or access the feature of the industrial automation system responsive to the device proving possession of the private key corresponding to the public key in the certificate.
A method for generating a rendering of industrial equipment includes receiving a render request identifying a three-dimensional (3D) model of the industrial equipment to be rendered and receiving virtual object data associated with the 3D model to be rendered, wherein the virtual object data is in a first format. The method includes generating a 3D model rendering based on the virtual object data and subject to a conversion constraint comprising a tokenized cost associated with generating the 3D model rendering, wherein the 3D model rendering is in a second format different than the first format. The method includes transmitting the 3D model rendering for use in representing the industrial equipment in an interactive environment.
One implementation of the present disclosure is a system including a cloud computing system. The cloud computing system is configured to receive a request from an application indicating a piece of field equipment and a period of time. The cloud computing system is also configured to retrieve appended field data from a memory storage, wherein the appended field data comprises field data, a second checksum, and a second timestamp. The cloud computing system is also configured to identify the second timestamp and the second checksum of the appended field data. The cloud computing system is also configured to receive a first timestamp and a first checksum from the edge device. The cloud computing system is also configured to provide the field data to the application, responsive to a determination that the first checksum matches the second checksum and the first timestamp matches the second timestamp.
G06F 21/64 - Protection de l’intégrité des données, p. ex. par sommes de contrôle, certificats ou signatures
H04L 9/32 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système
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
A method may include receiving a request to verify operability of graphical object programming code associated with an industrial device in an industrial automation system, generating test script associated with the request, and generating one or more test results associated with simulating the test script for the graphical object programming code. The method may also involve determining that one or more test results are less than a threshold, generating one or more recommendations for modifying the graphical object programming code in response to the one or more test results being less than the threshold, and updating the graphical object programming code based on the one or more recommendations. The method may then involve executing the updated graphical object programming code via the industrial device.
A system for identifying movers in an independent cart system includes movers having
A system for identifying movers in an independent cart system includes movers having
at least one magnet and sensors generating a feedback signal responsive to detecting a magnetic field from the magnet as each mover travels past the sensor. A memory stores an identifier and a corresponding digital fingerprint for each mover. The stored digital fingerprint is generated as a function of the magnetic field generated by the magnet on each mover. A controller receives the feedback signal from each sensor and determines a run-time digital fingerprint for each mover corresponding to the magnetic field generated by the magnet on each mover as a function of the feedback signal. The run-time digital fingerprint is matched to one of the stored digital fingerprints, and the identifier, corresponding to the stored digital fingerprint matching the run-time fingerprint, is read from memory.
A remote motor control center (MCC) interface with a unit profile view. Information about the MCC units is obtained from a data file containing project data for the MCC. Status data is collected for the units. An elevation view showing the units of the MCC is generated, which includes background and contextual information for each of the units and the motor control devices therein. The elevation view includes selectable elements for the MCC units. In response to receiving a selection of a selectable element, the unit devices for the corresponding unit are identified. A network path facilitating communication with the unit devices is identified and leveraged for attempts to instantiate monitoring for the unit devices. Based on the attempts to instantiate monitoring and any successful monitoring, a unit profile for the unit is generated. The unit profile includes at least type and status information for the unit devices.
Disclosed is a Unified Devices Architecture (UDA) system that provides for rapid development of device applications used across an industrial automation ecosystem that delivers common experiences through reuseable device application services. The UDA system allows a developer to select any number of device application services, which are specific to devices or host applications, to create a device application that is specific to an industrial automation device and a host application. In use, a host adapter allows the host application to dynamically select the correct device application for performing requested services.
Systems, devices, methods, and media that can be used to provide integrated vision and robot control functionality in a variety of applications. An example control device includes memory and processing circuity configured to execute instructions in the memory to execute a hybrid motion planning process for a robot; perform a safety check to validate a motion plan for the robot; execute the motion plan to control the robot in accordance with the motion plan; and, while executing the motion plan, receive vision data associated with the robot and adjust the motion plan based on the vision data.
An industrial edge visualization device installs on the edge level of an industrial enterprise, collects data from industrial assets of automation systems, and transmits this data to the cloud, allowing users to monitor and analyze machine or system data from any location. The device can execute a visualization platform as a containerized application, using the platform to generate and publish animated dashboards that are accessible from any location via a web browser.
G06T 11/20 - Traçage à partir d'éléments de base, p. ex. de lignes ou de cercles
G06F 3/0484 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] pour la commande de fonctions ou d’opérations spécifiques, p. ex. sélection ou transformation d’un objet, d’une image ou d’un élément de texte affiché, détermination d’une valeur de paramètre ou sélection d’une plage de valeurs
G06F 9/455 - ÉmulationInterprétationSimulation de logiciel, p. ex. virtualisation ou émulation des moteurs d’exécution d’applications ou de systèmes d’exploitation
62.
MULTI-MODAL ASSISTANT FOR GRAPHICAL OBJECT PROGRAMMING
A method may include receiving a request to generate graphical object programming code associated with an industrial device in an industrial automation system from a user. The request may include an audible input, a text input, or a data input. The method may also involve querying one or more large language models (LLMs) based on the request, such that the one or more LLMs may be trained based on a plurality of datasets associated with generating a plurality of graphical object programming codes for a plurality of devices. The method may also include generating the graphical object programming code based on one or more results associated with querying the one or more LLMs, presenting the graphical object programming code in a visualization, and executing the graphical object programming code in response to receiving an input indicative of an approval of the graphical object programming code via the visualization.
A method may include receiving a request to generate graphical object programming code via design environment comprising a plurality of lines for coding. The method may also include presenting an inline visualization corresponding a first line of the plurality of lines, receiving an input comprising a natural language description of one or more operations for the graphical object programming code within the inline visualization, and generating the graphical object programming code within the inline visualization based on the input and one or more large language models (LLMs). The method may also involve presenting the graphical object programming code within the inline visualization.
A method may include receiving real-time data associated with one or more industrial devices in an industrial automation system, identifying one or more patterns based on the real-time data, and generating a summary of the one or more patterns based on a large language model associated with the industrial automation system. The method may also include generating graphical object programming code based on the summary and executing the graphical object programming code via the one or more industrial devices.
An independent cart system with reduced particulate generation includes a mover configured to travel along a track. The mover includes wheels mounted to the mover, multiple sealing elements, and multiple dampening elements. Each wheel is operative to engage the track as the mover travels along the track, and each wheel includes a rolling bearing. At least one of the sealing elements is mounted adjacent to each rolling bearing for the wheels to prevent particulate generated by the rolling bearing from leaving the mover. The dampening elements reduce vibration on the mover as the mover travels along the track. A platform is mounted to an upper surface of a drive block for each mover by a fastener. At least one rolling bearing is mounted between the fastener and either the platform or the drive block.
Systems, methods, and apparatuses of mover (or other track-based or autonomous mover component) parameter determination are provided. The system can determine a scaling factor based on a first plurality of input parameters. The system can generate an offset based on a second plurality of input parameters. The system can determine, based on the scaling factor and the offset input into a machine learning model trained on a plurality of input parameters that include at least one of the first plurality of input parameters and at least one of the second plurality of input parameters, a state of health. The system can map the state of health to a mover of a plurality of movers configured to travel along a track. The system can output an indication of the state of health mapped to the mover to display by a computing device.
Disclosed is a Unified Devices Architecture (UDA) system that provides for rapid development of device applications used across an industrial automation ecosystem that delivers common experiences through reuseable device application services. The UDA system allows a developer to select any number of device application services, which are specific to devices or host applications, to create a device application that is specific to an industrial automation device and a host application. In use, a host adapter allows the host application to dynamically select the correct device application for performing requested services.
Systems, industrial devices, and methods for aggregating edge workloads of an industrial system. One system includes a programmable logic controller (PLC) of the industrial system. The PLC may receive an edge application to perform an edge workload related to an industrial process of the industrial system. The PLC may store the edge application in a memory local to the PLC, where the edge application may be isolated from control logic that controls execution of the industrial process. The PLC may execute the control logic in order to control performance of the industrial process. The PLC may execute the edge application such that the edge workload is performed locally at the PLC during performance of the industrial process.
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]
G06F 9/455 - ÉmulationInterprétationSimulation de logiciel, p. ex. virtualisation ou émulation des moteurs d’exécution d’applications ou de systèmes d’exploitation
H04L 67/10 - Protocoles dans lesquels une application est distribuée parmi les nœuds du réseau
69.
PROGRAMMING OF PROGRAMMABLE LOGIC CONTROLLERS WITH MULTIPLE TOOLS AND LANGUAGES SELECTABLE BY USER
Systems, industrial devices, and methods for programming of PLCs with multiple tools and languages. One method includes receiving an executable packet written in a first programming language. The method may include configuring the executable packet using a language-specific software extension such that the executable packet is executable within an execution environment of a PLC, where the language-specific software extension may be specific to the first programming language. The method may include controlling performance of an industrial process of the industrial system by executing a control application and the executable packet within the execution environment of the PLC, where the control application may be in a second programming language different from the first programming language.
G05B 19/05 - Automates à logique programmables, p. ex. simulant les interconnexions logiques de signaux d'après des diagrammes en échelle ou des organigrammes
70.
GUIDED WORKFLOWS AND PREREQUISITE EXTRACTION FOR PERFORMING MAINTENANCE ON AUTOMATION DEVICES
The disclosure describes an application service that provides guided workflows for performing maintenance on industrial automation devices. In response to a request from a user, the application service retrieves documentation associated with the device and generates an assistance prompt requesting a list of prerequisites and a list of steps for performing the maintenance. The application service leverages a generative artificial intelligence model by submitting the prompt to obtain an ordered list of steps for performing the maintenance along with the prerequisites, and in some cases safety precautions. The application service transmits the list of prerequisites to a user device for display, which the user may use to prepare for performing the maintenance.
The technology describes an industrial automation environment with an application service configured to respond to user-submitted queries. The application service is configured to select domains based on the queries, where the domains are directed to specific aspects of the industrial automation environment. The application service is further configured to submit calls to the selected domains and receive responses from each of the selected domains. The application service is further configured to synthesize the responses and provide the synthesized response to a user device for display.
G05B 13/02 - Systèmes de commande adaptatifs, c.-à-d. systèmes se réglant eux-mêmes automatiquement pour obtenir un rendement optimal suivant un critère prédéterminé électriques
72.
SECURE AUTOMATED DEPLOYMENT OF CONTENT AND WORKLOADS FOR SOFTWARE DEFINED AUTOMATION IN A PROGRAMMABLE LOGIC CONTROLLER
Systems, industrial devices, and methods for controlling automated deployment of content and workloads within an industrial system. One system includes a processor. The processor may be configured to receive data to be deployed within the industrial system. The processor may be configured to generate a data packet based on the data. The processor may be configured to control secure deployment of the data packet to a set of industrial controllers included in the industrial system.
G06F 21/57 - Certification ou préservation de plates-formes informatiques fiables, p. ex. démarrages ou arrêts sécurisés, suivis de version, contrôles de logiciel système, mises à jour sécurisées ou évaluation de vulnérabilité
H04L 9/30 - Clé publique, c.-à-d. l'algorithme de chiffrement étant impossible à inverser par ordinateur et les clés de chiffrement des utilisateurs n'exigeant pas le secret
H04L 9/32 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système
Systems, industrial devices, and methods for controlling communication within an industrial system. One system includes a PLC of the industrial system. The PLC may execute a control application to control performance of an industrial process of the industrial system. The control application may be locally stored at the PLC. The PLC may retrieve tag data related to performance of the industrial process, where the tag data may be specific to a tag related to performance of the industrial process. The PLC may route an electronic message including a portion of the tag data to an edge application subscribed to the tag. The edge application may be locally stored at the PLC. The PLC may execute the edge application based on the portion of the tag data such that the edge application performs an edge function related to the industrial system using the portion of the tag data.
The present technology relates to circuit breaker devices having current sense transformers configured to protect loads against current overload and short circuit events. The current sense transformers include a core, a secondary winding, and a primary winding coupled to a power input. The secondary winding includes a first wire wrapped around the core a number of secondary winding turns. The primary winding includes a second wire wrapped around the core a number of primary winding turns. The number of primary winding turns includes a first number of primary winding turns in a first direction and a second number of primary winding turns in an opposite direction that magnetically cancel out the second number of primary winding turns in the first direction to generate an effective number of primary winding turns. The effective number of primary winding turns and the number of secondary winding turns make up a desired turns ratio.
H01F 27/42 - Circuits spécialement adaptés à la modification ou la compensation des caractéristiques électriques des transformateurs, réactances ou bobines d'arrêt
H01F 30/12 - Transformateurs diphasés, triphasés ou polyphasés
The disclosure describes an application service that receives a user query and a catalog number of an industrial automation device. The catalog number is obtained by the user device by scanning a quick-response (QR) code affixed to the industrial automation device. The application service retrieves, based on the catalog number, documentation associated with the industrial automation device. For example, a specific domain associated with the industrial automation device may include the documentation. Using the documentation, the application service may generate an assistance prompt for a general artificial intelligence (GAI) model. The assistance prompt may task the GAI model with generating a response to the user query and may include the documentation as context. The application service transmits the GAI model response to the user device for display.
G06F 16/955 - Recherche dans le Web utilisant des identifiants d’information, p. ex. des localisateurs uniformisés de ressources [uniform resource locators - URL]
G06F 16/9538 - Présentation des résultats des requêtes
G06K 7/14 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation électromagnétique, p. ex. lecture optiqueMéthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire utilisant la lumière sans sélection des longueurs d'onde, p. ex. lecture de la lumière blanche réfléchie
An industrial chatbot system and associated chatbot interface support various user experience features designed to improve the chatbot's utility within an industrial context. These features include the ability to invite selected users or teams to participate in an ongoing chatbot thread or conversation, the ability to switch between knowledge domains during a chatbot session, the ability to save prompts for selective resubmission to the system, the ability to organize and share multiple chatbot threads among different teams or team members, constraining submission of prompts in a collaborative multiuser context so that prompts are submitted and processed in an organized manner, and the ability to define prompt-based dashboards that can be stored and deployed on demand or in response to defined conditions.
G05B 13/02 - Systèmes de commande adaptatifs, c.-à-d. systèmes se réglant eux-mêmes automatiquement pour obtenir un rendement optimal suivant un critère prédéterminé électriques
An industrial chatbot system and associated chatbot interface support various user experience features designed to improve the chatbot's utility within an industrial context. These features include the ability to invite selected users or teams to participate in an ongoing chatbot thread or conversation, the ability to switch between knowledge domains during a chatbot session, the ability to save prompts for selective resubmission to the system, the ability to organize and share multiple chatbot threads among different teams or team members, constraining submission of prompts in a collaborative multiuser context so that prompts are submitted and processed in an organized manner, and the ability to define prompt-based dashboards that can be stored and deployed on demand or in response to defined conditions.
H04L 12/18 - Dispositions pour la fourniture de services particuliers aux abonnés pour la diffusion ou les conférences
G06F 3/023 - Dispositions pour convertir sous une forme codée des éléments d'information discrets, p. ex. dispositions pour interpréter des codes générés par le clavier comme codes alphanumériques, comme codes d'opérande ou comme codes d'instruction
H04L 51/02 - Messagerie d'utilisateur à utilisateur dans des réseaux à commutation de paquets, transmise selon des protocoles de stockage et de retransmission ou en temps réel, p. ex. courriel en utilisant des réactions automatiques ou la délégation par l’utilisateur, p. ex. des réponses automatiques ou des messages générés par un agent conversationnel
H04L 51/212 - Surveillance ou traitement des messages utilisant un filtrage ou un blocage sélectif
An industrial chatbot system and associated chatbot interface support various user experience features designed to improve the chatbot's utility within an industrial context. These features include the ability to invite selected users or teams to participate in an ongoing chatbot thread or conversation, the ability to switch between knowledge domains during a chatbot session, the ability to save prompts for selective resubmission to the system, the ability to organize and share multiple chatbot threads among different teams or team members, constraining submission of prompts in a collaborative multiuser context so that prompts are submitted and processed in an organized manner, and the ability to define prompt-based dashboards that can be stored and deployed on demand or in response to defined conditions.
G06F 40/40 - Traitement ou traduction du langage naturel
G06F 3/0482 - Interaction avec des listes d’éléments sélectionnables, p. ex. des menus
G06F 3/0484 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] pour la commande de fonctions ou d’opérations spécifiques, p. ex. sélection ou transformation d’un objet, d’une image ou d’un élément de texte affiché, détermination d’une valeur de paramètre ou sélection d’une plage de valeurs
G06N 5/022 - Ingénierie de la connaissanceAcquisition de la connaissance
79.
GENERATIVE AI INDUSTRIAL AUTOMATION AUGMENTED REMOTE SUPPORT SERVICES
An industrial remote support system acts as an interactive assistant that leverages generative augmented reality (AR) and artificial intelligence (AI) techniques to provide dynamic support information for industrial assets. The system can suggest solutions to performance problems based on earlier documented solutions, thereby expediting the process of finding resolutions. Users can submit information about the industrial asset for which support is requested via an optical or data scan of the asset using an AR-capable client device. The system enhances a user's prompt with relevant contextual data retrieved from stored documentation as well as relevant past chat histories to assist the system's generative AI model in recommending accurate resolutions to alarm conditions or performance issues described by the user's prompt.
An industrial chatbot system and associated chatbot interface support various user experience features designed to improve the chatbot's utility within an industrial context. These features include the ability to invite selected users or teams to participate in an ongoing chatbot thread or conversation, the ability to switch between knowledge domains during a chatbot session, the ability to save prompts for selective resubmission to the system, the ability to organize and share multiple chatbot threads among different teams or team members, constraining submission of prompts in a collaborative multiuser context so that prompts are submitted and processed in an organized manner, and the ability to define prompt-based dashboards that can be stored and deployed on demand or in response to defined conditions.
H04L 51/02 - Messagerie d'utilisateur à utilisateur dans des réseaux à commutation de paquets, transmise selon des protocoles de stockage et de retransmission ou en temps réel, p. ex. courriel en utilisant des réactions automatiques ou la délégation par l’utilisateur, p. ex. des réponses automatiques ou des messages générés par un agent conversationnel
G06F 3/04817 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] fondées sur des propriétés spécifiques de l’objet d’interaction affiché ou sur un environnement basé sur les métaphores, p. ex. interaction avec des éléments du bureau telles les fenêtres ou les icônes, ou avec l’aide d’un curseur changeant de comportement ou d’aspect utilisant des icônes
G06F 3/04842 - Sélection des objets affichés ou des éléments de texte affichés
A level of thrust generated in a linear drive system is monitored by receiving an analog feedback signal at a controller from a position sensor mounted along a track for the linear drive system. The analog feedback signal varies as a function of a position of a mover traveling along the track, and the controller receives the analog feedback signal as the mover travels between a first position and a second position proximate the position sensor. An amplitude of the analog feedback signal corresponds to a value of thrust generated by the linear drive system for the mover. A change in the analog feedback signal from a nominal value of the analog feedback signal for the mover is detected as the mover travels between the first and second positions. Operation of the linear drive system is adapted when the change in the analog feedback signal exceeds a predefined threshold.
G01D 5/14 - Moyens mécaniques pour le transfert de la grandeur de sortie d'un organe sensibleMoyens pour convertir la grandeur de sortie d'un organe sensible en une autre variable, lorsque la forme ou la nature de l'organe sensible n'imposent pas un moyen de conversion déterminéTransducteurs non spécialement adaptés à une variable particulière utilisant des moyens électriques ou magnétiques influençant la valeur d'un courant ou d'une tension
A human-machine interface (HMI) development system leverages a generative AI model to assist in development of HMI projects in accordance with specified functional requirements, which can be provided to the development system as intuitive natural language spoken or written text. The system can formulate and implement HMI project edits during design time based on analysis of this natural language design input. After the HMI project is deployed as a runtime application, the system can also receive and process natural language requests to modify the runtime HMI in accordance with described modification criteria.
G05B 19/409 - 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 l'utilisation de l'entrée manuelle des données [MDI] ou par l'utilisation d'un panneau de commande, p. ex. commande de fonctions avec le panneauCommande 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 les détails du panneau de commande ou par la fixation de paramètres
A system may include a server that may communicate via an Open Platform Communications United Architecture (OPC UA) protocol. The system may also include an input/output (I/O) device having a server component configured to communicate with the server via the OPC UA protocol and a pipeline component. The pipeline component may translate one or more datasets received by the I/O device into the OPC UA protocol and send the one or more translated datasets to the server via the server component.
An industrial digital insights system acts as an interactive assistant that leverages generative artificial intelligence (AI) techniques to suggest solutions to industrial alarm conditions or other performance problems based on earlier documented solutions, thereby expediting the process of finding alarm resolutions. The system enhances a user's prompt with relevant contextual data retrieved from stored documentation as well as relevant past chat histories to assist the system's generative AI model in recommending accurate resolutions to alarm conditions or performance issues described by the user's prompt. The system can also leverage generative AI to formulate and present proactive asset management recommendations based on analysis of the customer's assets and their usage.
G06F 21/57 - Certification ou préservation de plates-formes informatiques fiables, p. ex. démarrages ou arrêts sécurisés, suivis de version, contrôles de logiciel système, mises à jour sécurisées ou évaluation de vulnérabilité
A human-machine interface (HMI) development and runtime system leverages generative artificial intelligence (AI) to create HMI dashboards or graphical interfaces without the need for manual coding based on natural language prompts submitted by the user, which specify the information the user wishes to see. In one or more embodiments, the system can support industry-specific prompt engineering services that assist a user in generating a customized HMI dashboard that satisfies specified criteria using natural language prompts that describe functional and visual requirements of the dashboard. The system can make use of a generative AI model and associated neural networks to generate suitable dashboards in accordance with functional requirements provided to the system as intuitive natural language inputs (e.g., spoken or written natural language text).
G05B 19/409 - 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 l'utilisation de l'entrée manuelle des données [MDI] ou par l'utilisation d'un panneau de commande, p. ex. commande de fonctions avec le panneauCommande 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 les détails du panneau de commande ou par la fixation de paramètres
G05B 19/4063 - Contrôle du système de commande général
A system includes industrial equipment providing operations of an oil-and-gas facility, a user interface device, and a control system. The control system is programmed to provide, the user interface device, a graphical user interface configured to prompt a user to select a performance indicator associated with the operations and adjust a plurality of constraints on a plurality of variables relating to the operations. The control system is further programmed to perform an optimization process configured to determine settings for the operations that optimize the performance indicator subject to the plurality of constraints and operate the industrial equipment in accordance with the settings.
G05B 19/042 - Commande à programme autre que la commande numérique, c.-à-d. dans des automatismes à séquence ou dans des automates à logique utilisant des processeurs numériques
G06F 9/451 - Dispositions d’exécution pour interfaces utilisateur
87.
SYSTEMS AND METHODS FOR CONTROLLING MULT-AGENT SYSTEMS
A system includes industrial equipment providing operations of an oil-and-gas facility and a control system for the oil-and-gas facility. The control system includes a first edge agent configured to generate operational data associated with operation of the industrial equipment, a second edge agent configured to acquire the operational data from the first edge agent, and an oversight device. The second edge agent is configured to generate, based on the operational data, and provide control decisions to the industrial equipment. The oversight device is configured to acquire the operational data from the first edge agent, determine, based on the operational data, a validation score associated with the operational data, and responsive to the validation score being less than a validation threshold, prevent the second edge agent from acquiring the operational data.
G05B 19/042 - Commande à programme autre que la commande numérique, c.-à-d. dans des automatismes à séquence ou dans des automates à logique utilisant des processeurs numériques
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]
G06F 18/21 - Conception ou mise en place de systèmes ou de techniquesExtraction de caractéristiques dans l'espace des caractéristiquesSéparation aveugle de sources
88.
SYSTEMS AND METHODS FOR IDENTIFYING OPERATIONAL PROFILES OF INDUSTRIAL DEVICES
A system includes industrial equipment providing operations of an oil-and-gas facility, a sensor array system configured to generate sensor data associated with operations of the industrial equipment, and a control system. The control system is programmed to obtain, from the sensor array system, sensor data corresponding to the operations of the industrial equipment, determine, based on the sensor data, operational data corresponding to an operational profile of the operations of the industrial equipment, and operate a display device to provide the display data to a user.
A system and method for transferring data between safety controllers during qualification establishes a dedicated communication channel between a first communication core executing in a first safety controller and a second communication core executing in a second safety controller. Safety data is prepared for transfer between the first and second safety controllers. Parameters for the dedicated communication channel are transferred from the first communication core to a first safety core executing in the first safety controller. The safety data is transferred from the first safety core to a second safety core executing in the second safety controller. The safety data received at the second safety controller is verified with the second safety core. Operation of a safety task is enabled in tandem on the first safety core and the second safety core upon successful transfer of the safety data from the first safety controller to the second safety controller.
G05B 19/05 - Automates à logique programmables, p. ex. simulant les interconnexions logiques de signaux d'après des diagrammes en échelle ou des organigrammes
A system for monitoring and optimizing an automation system with virtual objects presented on a display device having an at least partially transparent display. Statistics are calculated related to the motion of an automation system. Limitations to the motion of an automation system are calculated. The statistics or limitations are represented by virtual objects. The virtual objects are presented on the display in the user's field of view anchored in an extended reality environment near the real-world automation system.
A system for monitoring an automation system in an extended-reality environment with virtual objects using a display device having an at least partially transparent display. The system acquires a non-visual attribute related to one or more equipment and generates a skin or the equipment based on the non-visual attribute. The skin maps the non-visual attribute to a visually perceivable characteristic of the skin. A virtual object is generated for the skin and presented on the at least partially transparent display so that it appears superimposed on the one or more equipment.
A system for configuring of an automation system through interactions with virtual objects in an extended-reality environment using a display device having an at least partially transparent display. Control or optimization rules are represented by virtual objects that can be moved to the affected location within an extended reality environment. Simulations can be performed subject to the rules before accepting the rules into the live automation system. Additional equipment, devices, or other assets can be added to a simulation. The additional assets are represented by virtual objects in the extend reality environment and appear to operate with the existing assets.
Dynamic connection and communication services in container orchestration systems. A connection broker is leveraged to overcome a mismatch between stateless connections to data access services and stateful connections to industrial automation devices (IAD) by acting as an intermediary between the stateless and stateful connections. The broker maintains stateless connections between itself and data access services and establishes stateful connections between itself and IADs. The broker manages stateful connections such that any data access service can communicate with the IADs via stateful connections, despite the stateless nature of the connections between the broker and the data access services. The broker receives data requests along the stateless connections, facilitates communication between data access services and IADs, and receives data responses from IADs along the stateful connections. The broker may further reuse a single stateful connection for multiple data requests, reuse a data response for multiple data requests, and replace failed stateful connections.
The present disclosure describes a machine learning operations platform that integrates training, deployment, and data maintenance for machine learning models in industrial automation environments. The machine learning operations platform provides processed data from the industrial environment to a machine learning model trained to detect anomalies in the industrial automation environment. The machine learning operations platform stores the processed data in a feature store for subsequent model retraining. The machine learning model utilizes a relational database schema that associates machine learning models with training data according to some implementations.
A method may include querying, via a processing system, a database comprising a list of cybersecurity threats associated with operational technology (OT) devices within an industrial system. The method may also include identifying OT devices associated with the list of cybersecurity threats, generating scripts configured to confirm that the OT devices are associated with at least one cybersecurity threat of the list of cybersecurity threats, and sending the scripts to the one or more OT devices. The method may then involve determining that the OT devices are associated with the at least one cybersecurity threat based on responses from the OT devices generated based on the scripts, generating instructions for resolving the at least one cybersecurity threat based on a generative artificial intelligence (AI) system, and sending the instructions to one or more devices.
G05B 19/408 - 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 maniement de données ou le format de données, p. ex. lecture, mise en mémoire tampon ou conversion de données
96.
HUMAN MACHINE INTERFACES OF INDUSTRIAL AUTOMATION SYSTEMS IN EXTENDED REALITY
A system for creating an extended-reality environment with a virtual control panel for an automation system on a display device having an at least partially transparent display. The virtual control panel is anchored in the extended-reality environment at a first location. The operator can gesture to move the virtual control panel to a more convenient location given their current task. The virtual control panel can only issue certain commands when the operator is within a first distance from the control panel and/or the virtual control panel is within a second distance of the automation system. The virtual control panel may authenticate and authorize the operator and indicate or omit commands that are not available. An avatar of a mobile automation system can be presented near the operator or near the virtual control panel.
Systems, methods, and media for implementing updates in a control system without losing safety functionality. An example method includes halting execution of a safety function on a secondary control device; updating the secondary control device while the execution of the safety function is halted on the secondary control device; synchronizing second safety data associated with the safety function and stored in memory of the secondary control device with first safety data associated with the safety function and stored in memory of a primary control device after updating the secondary control device; and restarting the execution of the safety function on the secondary control device after synchronizing the second safety data with the first safety data.
A safety function executing at a periodic interval on a pair of controllers is modified during execution by preparing a change record for the safety function in response to an edit request. A communication channel is established between a first core on each controller via a dedicated communication interface. The change record is transmitted between the first core of each controller via the communication channel. The change record is transmitted from the first core to a second core of each controller. Preparing the change record, establishing the communication channel, and transmitting the change record combined execute over multiple periodic intervals for the safety function. The change record is stored in a memory of each controller with corresponding second core for the controller. Storing the change record in the memory of both controllers occurs during a single periodic interval for the safety function.
Various systems and methods for collision avoidance for autonomous mobile robots operating within a facility using short-range position sharing are disclosed herein. The systems and methods involve a first autonomous mobile robot broadcasting a low power presence signal via a short-range communication protocol, detecting a response signal from a second autonomous mobile robot and transmitting to the second autonomous mobile robot, a state signal including at least a current position and a current velocity of the first autonomous mobile robot. The second autonomous mobile robot determines its future positions along its trajectory and modifies its trajectory in response to determining a risk of collision, based on its future positions and predicted future positions of the first autonomous mobile robot. The predicted future positions are determined based at least on the current position and the current velocity of the first autonomous mobile robot.
G05D 1/693 - Commande coordonnée de la position ou du cap de plusieurs véhicules pour éviter toute collision entre les véhicules
G05D 1/244 - Dispositions pour déterminer la position ou l’orientation utilisant des aides à la navigation passive extérieures au véhicule, p. ex. marqueurs, réflecteurs ou moyens magnétiques
G05D 105/20 - Applications spécifiques des véhicules commandés pour le transport
G05D 107/70 - Sites industriels, p. ex. entrepôts ou usines
H04W 4/46 - Services spécialement adaptés à des environnements, à des situations ou à des fins spécifiques pour les véhicules, p. ex. communication véhicule-piétons pour la communication de véhicule à véhicule
H04W 4/80 - Services utilisant la communication de courte portée, p. ex. la communication en champ proche, l'identification par radiofréquence ou la communication à faible consommation d’énergie
100.
REPLAY OF INDUSTRIAL AUTOMATION SYSTEM OPERATIONS IN EXTENDED REALITY ENVIRONMENTS
A system for the replay of automation system operations in an extended reality environment with virtual objects using a display device having an at least partially transparent display. The system stores historical operational data. Upon entering a playback mode, the system generates virtual objects at historical locations representing the devices of the automation system. During playback sampled historical locations are delivered to the display device and the virtual object location is updated so that the automation system appears in motion. Interpolation may be performed between sampled device locations so improve playback speed or decrease the data that is stored. Automation system operations can be replayed in a smaller volume to allow the operator a holistic three-dimensional view of operations.
brevets
