A distributed control system with multiple controllers generates a request data packet in a first controller. The request data packet is transmitted from the first controller to a second controller, and the request data packet is received at the second controller. The second controller simulates the presence of a signal on the second controller. The simulated signal is used by a series of instructions stored on the second controller, and the simulated signal is not present at an input for the second controller. The series of instructions are executed in response to receiving the request data packet, and a response data packet is generated on the second controller as a function of simulating the presence of the feedback signal and executing the series of instructions. The response data packet is transmitted from the second controller to the first controller.
A multi-tenant, cloud-based Software-as-a-Service (SaaS) manufacturing cloud system offers a variety of industrial applications to end customers, including but not limited to MES, ERP, quality management, supply chain management, and customer relationship management (CRM). The system includes extensibility tools that allows industrial customers to customize databases, data collection templates, reporting fields, and other features of their consumed services, eliminating the need for these features to be customized by an administrator of the cloud system. Some embodiments of the manufacturing cloud system can also leverage generative artificial intelligence (AI) in connection with executing its supported services.
A system for correlating an input signal with an operating state of a motor includes a substrate which is either integral to an encoder or mounted on the motor. The substrate has a first input connected to a sensor proximate to the motor to receive a first signal from the sensor. The substrate also includes a second input to receive a position feedback signal from the encoder. A control circuit is operative to detect a change in state of the first signal and to correlate at least one additional signal to the change in state of the first signal. A data packet including the first signal and the at least one additional signal correlated at the change in state is generated. A communication interface is operative to transmit the data packet from the control circuit to at least one additional controller external from the motor.
H02P 6/16 - Circuit arrangements for detecting position
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
4.
SYSTEMS AND METHODS FOR LARGE LANGUAGE MODEL (LLM) GENERATED SERVICE CONTENT
A method includes receiving a work order associated with a problem experienced by an industrial automation system configured to perform an industrial automation process, receiving, from an industrial automation device within the industrial automation system, supplemental data including one or more characteristics of the industrial automation device, the industrial automation system, the industrial automation process, or any combination thereof, generating, via processing circuitry, using one or more large language models (LLMs), service content based on the work order and the supplemental data, wherein the service content includes a guided workflow for addressing the problem associated with the work order, and providing the service content to a mobile computing device for display via a user interface.
Embodiments of the present technology provide systems and methods for mounting a human interface module (HIM). According to various embodiments, the HIM may be configured to mount alternatively to a panel and a cradle. A panel mounting device is used to mount the HIM to a panel. The panel mounting device can be removably coupled to the HIM for panel mounting. The HIM may be installed in a cradle without the panel mounting device in accordance with some embodiments.
An industrial technical support system leverages generative artificial intelligence (AI) techniques to generate technical support guidance and recommendations in response to natural language technical support requests submitted as natural language input. The system can maintain and leverage one or more sets of custom models trained with sets of domain-specific training data specific for different industrial domains. When a natural language technical support query is received, the system leverages the domain-specific training data as well as responses prompted form a generative AI model to formulate and render technical support recommendations for addressing a performance or design issue described by the query.
A system and method for reducing mechanical oscillations in a multi-axis control system provides a first command for a dynamic notch filter at a first update rate to at least one motor drive. Each motor drive is connected to a motor for an axis in the multi-axis control system. Each motor drive receives a second command for desired operation of the motor at a second update rate. Operation of the dynamic notch filter in each motor drive is changed as a function of the first command at the first update rate, and each motor drive generates a desired output voltage for operation of the motor at a third update rate. The third update rate is faster than the second update rate, the second command is passed through the dynamic notch filter to generate a filtered command, and the desired output voltage is generated as a function of the filtered command.
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
8.
SYSTEMS AND METHODS FOR INDUSTRIAL AUTOMATION DEVICE TWIN DATA REPLICATION
A system includes processing circuitry and a memory, accessible by the processing circuitry, storing instructions that, when executed by the processing circuitry, cause the processing circuitry to deploy a first device twin in a first computing environment, wherein the first device twin includes a first interface by which a first application interacts with an industrial automation device of an industrial automation system configured to perform an industrial automation process wherein the industrial automation device is communicatively coupled to an operational technology (OT) network, deploy a second device twin in a second computing environment, wherein the second device twin includes a second interface by which a second application interacts with the industrial automation device, receive updated data corresponding to the industrial automation device, and update the first and second device twins based on the received updated data.
A system includes processing circuitry and a memory, accessible by the processing circuitry, storing instructions that, when executed by the processing circuitry, cause the processing circuitry to receive discovery data including one or more characteristics of an industrial automation device of an industrial automation system configured to perform an industrial automation process, wherein the industrial automation device is communicatively coupled to an operational technology (OT) network, request, from a database, catalog data for the industrial automation device, and generate, based on the discovery data and the catalog data, a device twin for the industrial automation device, wherein the device twin comprises an interface by which one or more applications may interact with the industrial automation device.
A system includes processing circuitry and a memory, accessible by the processing circuitry, storing instructions that, when executed by the processing circuitry, cause the processing circuitry to receive data from a device twin representative of an industrial automation device of an industrial automation system configured to perform an industrial automation process, wherein the industrial automation device is communicatively coupled to an operational technology (OT) network, wherein the device twin includes an interface by which one or more applications may interact with the industrial automation device, determine that the industrial automation device is accessible via a plurality of edge devices, apply one or more policies to select a particular edge device of the plurality of edge devices, and transmit the data to the particular edge device for transmission to the industrial automation device.
A system includes processing circuitry and a memory, accessible by the processing circuitry, storing instructions that, when executed by the processing circuitry, cause the processing circuitry to receive data collected during operation of an industrial automation device of an industrial automation system configured to perform an industrial automation process, process the received data, including applying one or more rules to filter the received data, prioritize the received data, or both, and transmit the processed received data to a device twin for the industrial automation device, wherein the device twin includes an interface by which one or more applications may interact with the industrial automation device, wherein the device twin runs in a cloud environment.
G05B 19/4155 - Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by programme execution, i.e. part programme or machine function execution, e.g. selection of a programme
12.
System and Method for Cooling Switching Devices in an Integrated Motor Drive
Power semiconductor switching devices in an integrated motor drive are mounted directly to a circuit board substrate via a “pick and place” assembly process. The circuit board substrate is then mounted within the housing for the integrated motor drive and, preferably, in a generally central orientation within the housing. A potting material is provided within the housing of the integrated motor drive and around the circuit board. The potting material substantially encloses the circuit board and fills the volume within the integrated motor drive. The potting material is selected to provide good thermal conductivity between the circuit board and the housing of the integrated motor drive. The potting material is also selected to provide flexibility such that expansion and contraction of the potting material due to heating and cooling of the material does not damage the circuit board or the electronic components mounted to the circuit board.
H02K 9/22 - Arrangements for cooling or ventilating by solid heat conducting material embedded in, or arranged in contact with, the stator or rotor, e.g. heat bridges
H02K 11/33 - Drive circuits, e.g. power electronics
13.
GENERATIVE AI OPS FOR CYBER SECURITY THREAT DETECTION
An industrial security system leverages generative artificial intelligence (AI) to automate the process of identifying software or hardware insecurities on industrial assets, generate recommendations for mitigating these vulnerabilities, and, where appropriate, deploy countermeasures to the vulnerable assets. By leveraging automated asset discovery, real-time asset and network monitoring, and generative AI-assisted vulnerability detection and remediation, the system can reduce the amount of time spent by security administrators in identifying and closing security vulnerabilities within their plant environments, and can alert administrators of potential security issues before those issues become critical.
Intelligent code block selection and codebase updating using generative AI is disclosed herein. A user may request a code block for performing a task based on a given quality parameter (e.g., most energy efficient, fastest, or the like). The system may select an AI model for evaluating code blocks to meet the quality parameter. The system may identify code blocks for evaluation and execute each code block in an isolated testing environment. The selected AI model evaluates each code block execution and selects a code block based on completing the task in a way that most adheres to the quality parameter. The selected code block is returned via a user interface. The selected code block may be stored in a configuration code building block library associated with the quality parameter and the task and used when developing and revising software for the industrial automation environment.
G05B 19/4155 - Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by programme execution, i.e. part programme or machine function execution, e.g. selection of a programme
G05B 19/408 - Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by data handling or data format, e.g. reading, buffering or conversion of data
G06F 11/36 - Prevention of errors by analysis, debugging or testing of software
15.
INDUSTRIAL AUTOMATION SYSTEM TOPOLOGY WITH POINT TO POINT REPRESENTATION PATHS
An industrial topology discovery system autonomously discovers and documents industrial automation system topologies using orchestrated discovery agents of various types. The topology discovery system can reside on a cloud platform or another high level network and deploy discovery agents on plant networks and devices within an industrial facility. These discovery agents can implement different strategies for discovering system information, and can include agents configured to monitor and report on communication traffic across respective types of networks, agents configured to probe respective device types for identity and configuration information, and other types of agents. Discovery services executed by the topology discovery system can collect device and network information obtained by the agents and use this information to document the topology of the automation system as well as to orchestrate the discovery behavior of the agents to extract further information about the system based on defined discovery rules.
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
H04L 41/12 - Discovery or management of network topologies
16.
Real-Time Path Planning and Traffic Management for an Independent Cart System
A method for real-time path planning in an independent cart system includes generating a first route for a mover to travel from among multiple paths in the independent cart system and transmitting the first route to a segment controller. The mover is controlled along a portion of the track segments in the first route, and a first weighting value is determined for a remainder of the first route as the mover is travelling along the first route. At least one additional route for them mover is generated as the mover is travelling along the first route, and a second weighting value is assigned to the additional route. The weighting values for the remainder of the first route and for the additional route are compared to determine whether the mover will continue along the first route or transition to the different route.
An integrated development environment (IDE) leverages a generative AI model to generate industrial control code in accordance with specified functional requirements, which can be provided to the industrial IDE system as intuitive natural language spoken or written text. The industrial IDE can also analyze written code in response to natural language prompts submitted against the code, generate answers to user-submitted questions about the code, and offer recommendations for improving the code in response to specific questions or requests submitted by the user.
An integrated development environment (IDE) leverages a generative AI model to generate industrial control code in accordance with specified functional requirements, which can be provided to the industrial IDE system as intuitive natural language spoken or written text. The industrial IDE can also analyze written code in response to natural language prompts submitted against the code, generate answers to user-submitted questions about the code, and offer recommendations for improving the code in response to specific questions or requests submitted by the user.
G05B 19/042 - Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
H04L 51/02 - User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail using automatic reactions or user delegation, e.g. automatic replies or chatbot-generated messages
19.
INTEGRATED DESIGN ENVIRONMENT IN-LINE GENERATIVE AI CODE EDITOR
An integrated development environment (IDE) leverages a generative AI model to generate industrial control code in accordance with specified functional requirements, which can be provided to the industrial IDE system as intuitive natural language spoken or written text. The industrial IDE can also analyze written code in response to natural language prompts submitted against the code, generate answers to user-submitted questions about the code, and offer recommendations for improving the code in response to specific questions or requests submitted by the user.
An enclosure, such as, for example, a motor control center (MCC) used in an industrial automation environment, designed to provide pressure relief and ingress protection. The enclosure includes an opening, an optional gasket disposed over the opening, and a pressure relief plate disposed over the gasket including tabs that secure the pressure relief plate to the enclosure. The tabs are adapted to fracture upon a change in pressure within the enclosure to allow the pressure relief plate to open, and thereby to allow pressure to escape from the enclosure responsive to the change in pressure within the enclosure.
An integrated development environment (IDE) leverages a generative AI model to generate industrial control code in accordance with specified functional requirements, which can be provided to the industrial IDE system as intuitive natural language spoken or written text. The industrial IDE can also analyze written code in response to natural language prompts submitted against the code, generate answers to user-submitted questions about the code, and offer recommendations for improving the code in response to specific questions or requests submitted by the user.
A safety barrier for an independent cart system includes a housing with a base and an indicia portion extending from the base. The indicia portion provides a visual indication of a present location for the housing. A magnet is mounted within the base of the housing, and the magnet generates a sensor magnetic field. A sensor is mounted at a fixed location along a track for the independent cart system, and the sensor generates a feedback signal corresponding to the sensor magnetic field. A controller is operative to inhibit travel of a mover at the fixed location along the track when the feedback signal indicates the magnet is proximate the sensor.
An integrated development environment (IDE) leverages a generative AI model to generate industrial control code in accordance with specified functional requirements, which can be provided to the industrial IDE system as intuitive natural language spoken or written text. The industrial IDE can also analyze written code in response to natural language prompts submitted against the code, generate answers to user-submitted questions about the code, and offer recommendations for improving the code in response to specific questions or requests submitted by the user.
An integrated development environment (IDE) leverages a generative AI model to generate industrial control code in accordance with specified functional requirements, which can be provided to the industrial IDE system as intuitive natural language spoken or written text. The industrial IDE can also analyze written code in response to natural language prompts submitted against the code, generate answers to user-submitted questions about the code, and offer recommendations for improving the code in response to specific questions or requests submitted by the user.
G05B 13/02 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
25.
INTEGRATED DESIGN ENVIRONMENT GENERATIVE AI INDUSTRIAL SMART CODE CREATION
An integrated development environment (IDE) leverages a generative AI model to generate industrial control code in accordance with specified functional requirements, which can be provided to the industrial IDE system as intuitive natural language spoken or written text. The industrial IDE can also analyze written code in response to natural language prompts submitted against the code, generate answers to user-submitted questions about the code, and offer recommendations for improving the code in response to specific questions or requests submitted by the user.
Various embodiments relate to reducing leakage current produced by solid-state switching devices of circuit breakers flowing to loads. A circuit breaker may include switching circuitry coupled to a load and to an AC voltage supply. The switching circuitry may include first-phase, second-phase, and third-phase circuits each including a first switch coupled to a terminal of the load, a second switch coupled to the first switch and to a terminal of the voltage supply, a first leakage current circuit coupled to the first switch and to a first of two other terminals of the voltage supply, and a second leakage current circuit coupled to the first switch and to a second of the two other terminals of the voltage supply. In a standby mode, based on various states of the switches of the switching circuitry leakage current flows from the load to the voltage supply through the leakage current circuits.
H02H 1/04 - Arrangements for preventing response to transient abnormal conditions, e.g. to lightning
H02H 3/08 - Emergency protective circuit arrangements for automatic disconnection directly responsive to an undesired change from normal electric working condition, with or without subsequent reconnection responsive to excess current
An industrial integrated development environment (IDE) supports open or extensible application programming interfaces (APIs) that enable end users (e.g., plant asset owners, original equipment manufacturers (OEM), system integrators, etc.) to build upon the IDE's development platform to create custom views or to code custom functionality. This can include, for example, defining a control programming syntax supported by the industrial IDE, customizing a development environment view afforded by the IDE's interface, modifying or creating project editing functions, defining customized programming guardrails designed to guide compliance with in-house programming standards, or other such IDE customizations.
A method includes monitoring a voltage across a pre-charge circuit of a drive module disposed within an industrial automation system, wherein the pre-charge circuit is configured to reduce current flowing from a power source to a plurality of capacitors when the drive module is powered on, identifying when the voltage across the pre-charge circuit exceeds a threshold value for more than a threshold period of time, and in response to the voltage across the pre-charge circuit exceeding the threshold value for more than the threshold period of time, opening a pre-charge switch and a pre-charge bypass switch to prevent current from flowing from the power source into the pre-charge circuit and the plurality of capacitors of the drive module.
H02H 9/04 - Emergency protective circuit arrangements for limiting excess current or voltage without disconnection responsive to excess voltage
G01R 31/28 - Testing of electronic circuits, e.g. by signal tracer
H02H 7/09 - Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions for dynamo-electric motors against over-voltageEmergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions for dynamo-electric motors against reduction of voltageEmergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions for dynamo-electric motors against phase interruption
29.
SYSTEMS AND METHODS FOR LARGE LANGUAGE MODEL (LLM) GENERATED SECURITY CONFIGURATION BASED ON SYSTEM CHARACTERISTICS
A method includes transmitting, from a computing device, a request to generate a configuration file for an industrial automation device disposed within an industrial automation system configured to perform an industrial automation process, wherein the industrial automation device is communicatively coupled to an operational technology (OT) network, transmitting, from the computing device, one or more characteristics of the industrial automation device, the industrial automation system, the industrial automation process, the OT network, or any combination thereof, receiving, at the computing device, the configuration file for the industrial automation device, wherein the configuration file for the industrial automation device was generated using one or more large language models (LLMs) based on the one or more characteristics of the industrial automation device, the industrial automation system, the industrial automation process, the OT network, or any combination thereof, and installing the configuration file on the industrial automation device.
Dynamic attribute-based edge-deployed security in an industrial automation environment is described. A policy engine receives a command executable relevant to operational technology of an industrial automation environment via an access account. The policy engine classifies the command as approved or denied based on identifying a security policy based on the access account and operational technology, determining a set of parameter values based on the security policy, determining an intent of the command based on the set of parameter values, and classifying the command by evaluating the intent against the security policy. In response to command approval, the policy engine identifies a first communication channel coupling the operational technology and a policy enforcement point, connects a second communication channel coupling the policy enforcement point and the policy engine, and transmits the command and an indication of the first channel to the policy enforcement point via the second channel.
H04L 41/16 - Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks using machine learning or artificial intelligence
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: a minting component that, based on a manufacturing criterion associated with a product being determined to be satisfied, mints a non-fungible token associated with the product, wherein the non-fungible token comprises authenticity data representative of a birth certificate for the product, and a blockchain component that registers the non-fungible token with a blockchain.
H04L 9/00 - Arrangements for secret or secure communicationsNetwork security protocols
G06Q 20/06 - Private payment circuits, e.g. involving electronic currency used only among participants of a common payment scheme
G06Q 20/40 - Authorisation, e.g. identification of payer or payee, verification of customer or shop credentialsReview and approval of payers, e.g. check of credit lines or negative lists
32.
IMPLEMENTING A MACHINE LEARNING MODEL AS AN INDUSTRIAL AUTOMATION OBJECT IN A DESIGN ENVIRONMENT
Various embodiments of the present technology generally relate to solutions for integrating machine learning models into industrial automation environments. More specifically, embodiments of the present technology include systems and methods for implementing machine learning models within industrial control code to improve performance, increase productivity, and add capability to existing control programs. In an embodiment, a system comprises an interface component configured to display a graphical representation of a machine learning asset in an industrial automation environment, wherein the graphical representation includes a visual indicator representative of an output from the machine learning asset. The interface component is further configured to adjust the visual indicator based on the output from the machine learning asset. In addition, a process control component is configured to control an industrial process in the industrial automation environment based at least in part on the output from the machine learning asset.
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
G05B 19/05 - Programmable logic controllers, e.g. simulating logic interconnections of signals according to ladder diagrams or function charts
A system for providing causal graph relationships for industrial automation systems. The system receives a first input indicative of a selection of a design artifact associated with an industrial automation system having one or more industrial automation devices, where the design artifact defines an industrial automation project configured to control operations of the one or more industrial automation devices. In response to the first input, the system parses the design artifact to identify causal relationships between the one or more industrial automation devices, stores data indicative of the identified causal relationships in a database, and generates causal graphs based on the stored data. The system receives a second input indicative of a request to generate a custom view of the industrial automation system, and generates a custom view of the industrial automation system in response to the second input, where the custom view includes the causal graphs.
Various systems and methods are presented regarding using generative artificial intelligence/machine language (AI/ML) to resolve a merge conflict between two or more versions of a program code. The program code can be industrial automation software utilized to control one or more PLCs in an industrial environment. Interaction with the program code can be via a programming tool that presents the program code in a human readable format, while the AI/ML can be applied to the underlying source code. Hence, while the source code is applied to the PLC, the programming tool enables interaction various human readable summaries of the program code and respective options available to resolve the merge conflict. Accordingly, a process engineer, or suchlike, does not have to be familiar with the source code format to readily understand a summary of the merge conflict or one or more options available to correct the conflict.
Various systems and methods are presented regarding using generative artificial intelligence/machine language (AI/ML) to resolve a merge conflict between two or more versions of a program code. The program code can be industrial automation software utilized to control one or more PLCs in an industrial environment. Interaction with the program code can be via a programming tool that presents the program code in a human readable format, while the AI/ML can be applied to the underlying source code. Hence, while the source code is applied to the PLC, the programming tool enables interaction various human readable summaries of the program code and respective options available to resolve the merge conflict. Accordingly, a process engineer, or suchlike, does not have to be familiar with the source code format to readily understand a summary of the merge conflict or one or more options available to correct the conflict.
A method includes an edge device of an industrial facility receiving a plurality of first packets associated with a first communication protocol from an industrial device of the industrial facility, extracting device data associated with the industrial device from the plurality of first packets associated with the first communication protocol, creating a second packet associated with a second communication protocol, the second packet including the device data associated with the industrial device in the plurality of first packets, and transmitting the second packet associated with the second communication protocol to a cloud platform to manage an industrial digital twin on the cloud platform based on the second packet.
H04L 67/12 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
H04L 69/18 - Multiprotocol handlers, e.g. single devices capable of handling multiple protocols
37.
SYSTEMS AND METHODS FOR ETHERNET NETWORK DEVICE EMULATOR
A non-transitory computer-readable medium comprising computer-executable instructions that, when executed, may cause processing circuitry to perform operations including receiving, at a communications stack of an operating system, communications from one or more industrial automation devices. The operations may also include identifying a subset of the communications, wherein the subset of the communications comprises one or more low-level communication frames and forwarding the remaining communications to the operating system. Further, the operations may include determining a networking operation indicated by the low-level communication frames and transmitting the one or more low-level communication frames to one or more simulated industrial automation devices according to the determined networking operation.
Embodiments of this present disclosure include a non-transitory computer readable medium storing instructions that, when executed by processing circuitry, cause the processing circuitry to perform operations including determining a predicted value for a process output representative of controlled operation of one or more industrial automation devices within an industrial automation system, receiving an actual value for the process output from the industrial automation devices, and determining a deviation between the predicted value and the actual value for the process output. Additionally, the operations include generating a first portion of a reference trajectory based on a closed-loop response performance to a change in a setpoint, generating a second portion of the reference trajectory based on a calculated effect from a disturbance variable on the actual value for the process output, and generating a third portion of the reference trajectory based on an estimation of an unmeasured disturbance variable.
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 control, status, or 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 can also factor contextual information when determining whether to create and schedule a work order, such as the cost of operator or maintenance time, scheduled plant downtimes, environmental factors (e.g., humidity), time of year, supplier issues, and other considerations.
A method includes receiving an indication of an inspection of an industrial automation device being triggered, displaying, via a display of a mobile computing device, instructions for performing the inspection of the industrial automation device, receiving, via one or more sensors of the mobile computing device, one or more sensors communicatively coupled to the mobile computing device, or both, inspection data associated with the industrial automation device, processing the inspection data associated with the industrial automation device to generate results of the inspection of the industrial automation device, and displaying, via the display of the mobile computing device, the results of the inspection of the industrial automation device.
A digital technology transfer system transforms technology transfer documents to a set of digitized manufacturing procedures and operations documentation. The system can transform a technology transfer document to a hierarchical structured model representing a package, or product to be manufactured, and the process for manufacturing the product. The resulting package model can be integrated into a larger model representing an ecosystem of manufacturing entities and plant facilities by assigning steps of the manufacturing process to one or more selected production lines. The system allows participants in the ecosystem to browse the hierarchical model to view information about the manufacturing entities, their plant facilities, and the packages assigned to the respective facilities. The system offers filtered role-specific views of the technology transfer documents, their approval statuses, and their plant assignments.
G06Q 10/067 - Enterprise or organisation modelling
G05B 19/18 - Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form
Systems and methods for controlling network security within an industrial system. One method may include monitoring network traffic at a first industrial device of the industrial system. The method may include determining a first network security threat at the first industrial device using an artificial intelligence (AI) model trained to detect network security threats for the industrial system. The method may include controlling execution of a mitigation operation responsive to the network security threat.
A system may include a control system for controlling one or more operations of one or more industrial devices in an industrial system. The control system may receive streaming data comprising one or more visualizations representative of one or more live operational parameters associated with one or more industrial devices. The streaming data may include multiple image frames. The control system may also identify multiple datasets associated with the streaming data and generate multiple machine-readable images based on the multiple datasets. In addition, the control system may embed the multiple machine-readable images within the multiple image frames of the streaming data to generate updated streaming data and send the updated streaming data to a computing system that may extract the multiple machine-readable images from the updated streaming data.
G05B 19/4155 - Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by programme execution, i.e. part programme or machine function execution, e.g. selection of a programme
G06K 7/14 - Methods or arrangements for sensing record carriers by electromagnetic radiation, e.g. optical sensingMethods or arrangements for sensing record carriers by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
G06K 19/06 - Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code
44.
CONTROL SYSTEM WITH TRIPLE MODULAR REDUNDANCY USING SEPARATE CONTROLLERS
A control system with triple modular redundancy (TMR) using separate controllers includes a first controller device, a second controller device, a third controller device, and an input/output (I/O system). The I/O system receives redundant output data packets from the first controller device, the second controller device, and the third controller device. The I/O system further evaluates the redundant data packets based on a voting process, generates a control input responsive to evaluating the redundant data packets based on the voting process, and provides the control input to the first controller device, the second controller device, and the third controller device.
A digital technology transfer system transforms technology transfer documents to a set of digitized manufacturing procedures and operations documentation. The system can leverage generative artificial intelligence (AI) and associated trained custom models to transform a technology transfer document to a hierarchical structured model representing a package, or product to be manufactured, and the process for manufacturing the product. The resulting package model can be integrated into a larger model representing an ecosystem of manufacturing entities and plant facilities by assigning steps of the manufacturing process to one or more selected production lines. To reduce dependency on custom-built parsers for each type of document format, the system leverages generative artificial intelligence (AI) and associated trained models to extract and organize document content, and to map the document content to appropriate target data structures that can be consumed by control systems and devices.
G06F 40/137 - Hierarchical processing, e.g. outlines
G05B 19/408 - Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by data handling or data format, e.g. reading, buffering or conversion of data
G06F 3/0482 - Interaction with lists of selectable items, e.g. menus
A common-mode interference dissipation circuit to provide circuitry immunity to electrical interference, such as common mode impedance interference, is described herein. The common-mode interference dissipation circuit may include one or more variable resistors each having a first terminal and a second terminal and a capacitor coupled in series with the one or more variable resistors and having a first terminal and a second terminal. The first terminal of the one or more variable resistors may be coupled to a port of the first set of ports, the second terminal of the one or more variable resistors may be coupled to the first terminal of the capacitor, and the second terminal of the capacitor may be coupled to a chassis in an industrial automation environment.
Various embodiments of the present technology generally relate to industrial automation environments. More specifically, embodiments include systems and methods to optimize a target variable in an industrial automation environment. In some examples, a design application generates a control program configured and selects a program tag that represents a target variable in an industrial process. A processing application identifies a set of available program tags that represent independent variables in the industrial process and determines correlations between ones of the independent variables and the target variable. The processing application selects available program tags that represent independent variables correlated with the target variable and generates a recommendation that indicates the selected available program tags. The design application modifies the control program using the selected available program tags to optimize the target variable. The design application transfers the control program for implementation by the programmable logic controller.
A method includes generating, via a containerized control application executing in a container running on computing infrastructure, a command that defines at least one characteristic of an operation of an industrial automation device in performance of an industrial automation process, transmitting the command from the containerized control application to an input/output (I/O) proxy, wherein the I/O proxy is configured to interface between the containerized control application and a physical I/O, transmitting the command from the I/O proxy to the physical I/O, wherein the physical I/O is configured to receive data from the industrial automation device and provide commands to the industrial automation device, transmitting the command from the physical I/O to the industrial automation device, and implementing, via the industrial automation device, the command.
G05B 19/4155 - Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by programme execution, i.e. part programme or machine function execution, e.g. selection of a programme
G06F 13/20 - Handling requests for interconnection or transfer for access to input/output bus
49.
CIRCUIT TO IMPROVE ETHERNET IMMUNITY TO ELECTRICAL FAST TRANSIENT
The present technology relates to circuitry immunity to electrical interference, such as Electrical Fast Transient (EFT) interference. In an example embodiment, an interference dissipation circuit is provided. The interference dissipation circuit includes a transient voltage suppression (TVS) sub-circuit, a ferrite bead having a first terminal and a second terminal, a capacitor coupled in series with the ferrite bead and having a first terminal and a second terminal. The TVS sub-circuit includes a plurality of TVS ports, and the TVS sub-circuit is coupled to the set of output ports at a first set of TVS ports of the plurality of TVS ports. The ferrite bead is coupled to a ground port of the plurality of TVS ports, the second terminal of the ferrite bead is coupled to the first terminal of the capacitor, and the second terminal of the capacitor is coupled to a chassis in an industrial automation environment.
An industrial integrated development environment (IDE) system includes device definition creation tools that can be used to select, configure, and add multiple device definitions to a control project using a single workflow. A device selection interface can be used to select multiple device definitions to be added to the project, and a device configuration interface can be used to set values of each device's configuration parameters. Upon completion of this device selection and configuration workflow, all selected device definitions and their associated configuration parameter values are added to the control project substantially simultaneously. The workflow allows the user to initially identify a parent device, backplane, or network to which the new devices will be assigned, or to add the new devices as unassigned devices and assign the new devices to a selected parent device, backplane, or network after creation.
Virtual slots are provided to coordinate traffic flow in an independent cart system. Multiple virtual slots are defined along a length of a track for the independent cart system. The track includes multiple track segments, and the independent cart system includes a linear drive system to propel movers along the track. Each of the virtual slots are controlled to travel along the length of the track. The virtual slots are spaced apart at a first distance and are controlled to travel synchronously at a desired speed. Each of the movers is controlled to travel within one of the virtual slots at the desired speed, and each of the movers has a minimum stopping distance greater than the first distance when travelling at the desired speed.
A system and method of transitioning between motion trajectories in an independent cart system includes controlling motion of a mover along a track segment with a segment controller responsive to a first motion trajectory. At least one operating state for the first motion trajectory is received at an external controller as the segment controller is controlling motion of the mover responsive to the first motion trajectory. A second motion trajectory for the mover is generated with the external controller, where the second motion trajectory includes the at least one operating state as an initial condition for the second motion trajectory. While the segment controller is controlling motion of the mover along the track segment responsive to the first motion trajectory, the second motion trajectory is transmitted from the external controller to the segment controller, and the segment controller switches from the first motion trajectory to the second motion trajectory.
B65G 35/06 - Mechanical conveyors not otherwise provided for comprising a load-carrier moving along a path, e.g. a closed path, and adapted to be engaged by any one of a series of traction elements spaced along the path
B65G 43/00 - Control devices, e.g. for safety, warning or fault-correcting
53.
SYSTEMS AND METHODS FOR EDGE COMPUTING AND CONNECTIVITY VIA HUMAN INTERFACE MODULE
A human-interface module (HIM) for an industrial automation system includes processing circuitry, and a memory, accessible by the processing circuitry, the memory storing instructions that, when executed by the processing circuitry, cause the processing circuitry to perform operations including receiving instructions to control one or more industrial automation devices of the industrial automation system via a cloud-based computing system or a mobile computing device communicatively coupled to the HIM. The operations may also include generating one or more control signals based on the instructions, transmitting the one or more control signals to the one or more industrial automation devices via an Ethernet connection, receiving process data associated with the one or more industrial automation devices, and transmitting the process data to the mobile computing device.
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
G05B 19/409 - Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by using manual data input [MDI] or by using control panel, e.g. controlling functions with the panelNumerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by control panel details or by setting parameters
Various embodiments of the present technology provide an integrated platform that provides acceleration tools that can be used across multiple lifecycle phases of an industrial automation system to assist users in various lifecycle phases of an industrial automation system. In accordance with various embodiments, the integrated platform can take historical designs and provide various acceleration actions (e.g., initial designs, answering specific questions, expert analysis, etc.) for a current system. Various embodiments can use a common, cross-platform data file that links activity and efficiently provides needed information to a user. Some embodiments provide and manage reviews of layouts or designs by experts (e.g., individuals and expert systems) to aid in identifying needed changes to the design or system.
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
G05B 13/02 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
A digital technology transfer system transforms technology transfer documents to a set of digitized manufacturing procedures and operations documentation. The system can transform a technology transfer document to a hierarchical structured model representing a package, or product to be manufactured, and the process for manufacturing the product. The resulting package model can be integrated into a larger model representing an ecosystem of manufacturing entities and plant facilities by assigning steps of the manufacturing process to one or more selected production lines. The system allows participants in the ecosystem to browse the hierarchical model to view information about the manufacturing entities, their plant facilities, and the packages assigned to the respective facilities. The system offers filtered role-specific views of the technology transfer documents, their approval statuses, and their plant assignments.
G05B 19/408 - Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by data handling or data format, e.g. reading, buffering or conversion of data
A system may include sensor device comprising a sensor configured to measure sensor data indicating an operational parameter of industrial automation equipment associated with an industrial automation process. The system may also include communication circuitry configured to transmit the sensor data. Additionally, the system includes a processor configured to receive the sensor data. Further, the system includes a non-transitory computer-readable medium comprising computer-executable instructions that, when executed, are configured to cause the processor to perform operations including identifying an operational state of the industrial automation equipment based on the sensor data. The operations may also include determining a discrepancy between the sensor data and the operational state. Further, the operations may include modifying an operation of the processor from a first operational mode to a second operational mode of a plurality of operational based on the comparison.
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
57.
CONTROLFLASH PLUS HARDWARE SERIALIZATION AND REGISTRATION
An industrial product inventory system generates a browsable inventory of a customer's industrial products based on product information retrieved from identity objects stored on the products. The system can also register this product information with a service provider that can provide product notifications and services based on analysis of the registered product information. These services can include verification of product authenticity, product or firmware upgrade notifications, security notifications, or other such services.
A system for collecting data about an environment in which an independent cart system is operating includes a track extending through the environment, a mover mounted on the track and operative to travel along the track, and a sensor mounted on the mover. The sensor generates a feedback signal corresponding to a condition external from the mover as the mover travels along the track. A memory is operative to store multiple instructions and multiple values of the feedback signal. A controller is operative to execute the instructions to receive the feedback signal from the sensor and periodically store a value of the feedback signal in the memory.
A method for node management in an independent cart system receives a path command at a controller for the independent cart system. The path command defines a desired motion for a mover in the independent cart system. The path command spans at least one transfer segment and multiple fixed track segments. Each of the fixed track segments has a predefined flow, and the transfer segment has a dynamic flow. A single direction of travel is defined within the controller corresponding to the desired motion for the mover. A motion command corresponding to the desired motion for the mover is transmitted to each of the fixed track segments. The dynamic flow is set for the transfer segment to the single direction, and a motion command is transmitted to the transfer segment as a function of the dynamic flow for the transfer segment and of the desired motion for the mover.
A computing device for collecting and preserving data acquired from various devices in a data model with the respective context of acquired data. The computing device may provide a user interface to receive the context or information model associated with a dataset. By providing data with its context, different software platforms may synthesize or analyze the retrieved data more efficiently. Moreover, the computing device may include transaction conditions to define a workflow for transferring the datasets using data model associated with one or more datasets for transmission of data to a destination. The transaction conditions may detail a custom workflow for data communication through an industrial automation system using the data model.
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
61.
RENDERING AS A SERVICE PLATFORM WITH INDUSTRIAL AUTOMATION EMULATION FOR METAVERSE PLATFORM EXECUTION
A method for generating a rending of industrial equipment for use in an interactive virtual environment within a metaverse platform, the method comprising receiving, from the metaverse platform, a render request identifying a three-dimensional (3D) model of the industrial equipment to be rendered, generating and communicating to the metaverse platform, a virtual object request based on the render request, the virtual object request requesting virtual object data associated with the 3D model to be rendered, receiving, from the metaverse platform, virtual object data based on the virtual object request, wherein the virtual object data is in a first format, 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, wherein the 3D model rendering is generated in a second format different than the first format.
A method for generating a rending of industrial equipment, the method comprising receiving a render request from a first remote data source, the render request identifying a three-dimensional (3D) model of the industrial equipment to be rendered, generating a virtual object request based on the render request, the virtual object request identifying a second remote data source comprising virtual object data associated with the 3D model to be rendered, receiving the virtual object data from the second remote data source based on the virtual object request, wherein the virtual object data is in a first format, generating a 3D model rendering based on the virtual object data, wherein the 3D model rendering is in a second format different than the first format, and transmitting the 3D model rendering to the first remote data source for use in representing the industrial equipment in an interactive environment.
A Rendering as a Service (RaaS) platform for generating a rendering of industrial equipment, the RaaS platform configured to perform operations comprising receiving, via a graphical user interface presented on a user device, a first user selection of a three-dimensional (3D) model of the industrial equipment, receiving, via the graphical user interface, a second user selection of one or more rendering options from a plurality of selectable rendering options presented via the graphical user interface, obtaining, at the RaaS platform based on the first user selection, the 3D model of the industrial equipment from a remote data source, and executing a rendering job, based on the first user selection of the 3D model and the second user selection of the one or more rendering options, to generate the rendering of the industrial equipment.
G06T 15/00 - 3D [Three Dimensional] image rendering
G06F 3/04815 - Interaction with a metaphor-based environment or interaction object displayed as three-dimensional, e.g. changing the user viewpoint with respect to the environment or object
G06T 1/20 - Processor architecturesProcessor configuration, e.g. pipelining
A Rendering as a Service (RaaS) platform configured to perform operations comprising generating a graphical representation of a plurality of selectable rendering options based on a 3D model of the industrial equipment, the plurality of selectable rendering options comprising a plurality of views of the 3D model from a plurality of different viewpoints of a virtual camera, transmitting the graphical representation of the plurality of selectable rendering options from the RaaS platform to a user device for presentation, receiving, at the RaaS platform, a user selection of one or more rendering options from the plurality of selectable rendering options presented via the graphical user interface of the user device, and executing a rendering job, at the RaaS platform based on the 3D model and the user selection of the one or more rendering options, to generate the rendering of the industrial equipment.
G06F 3/04815 - Interaction with a metaphor-based environment or interaction object displayed as three-dimensional, e.g. changing the user viewpoint with respect to the environment or object
G06F 3/0484 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
The present technology relates to fault-managed power (FMP), and particularly, to generating FMP in an industrial automation environment using single-pair Ethernet (SPE) cabling for use by DC motors. An FMP system may include transmitter circuitry and receiver circuits coupled together via a transmission link formed using SPE cable. The transmitter circuitry can generate a FMP and transmit a pulsed signal having the FMP to the receiver circuits. The transmitter circuitry can also exchange data signals with the receiver circuits over a communication channel using the SPE cable. The receiver circuits can identify an expected power consumption of DC motors coupled to the receiver circuits and provide an indication of the expected power consumption to the transmitter circuitry. The transmitter circuitry can detect a fault based on a comparison between the transmitted FMP and the power consumption and terminate transmission of the FMP in response to detecting the fault.
H04L 67/12 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
A safety test circuit includes a pulse test control circuit configured to receive a zero-vector signal and to generate a pulse test signal when the zero-vector signal is active, and first and second safety channels. The first safety channel includes a first enable circuit configured to receive the pulse test signal and a first safety input signal, and to generate a first enable signal which is active only when both the pulse test signal and the first safety input signal are inactive, and a first power signal gate configured to receive a first plurality of power control signals and to transfer the first plurality of power control signals to a power module only when the first enable signal is active. The second safety channel includes a second enable circuit configured similar to the first enable circuit, and a second power signal configured similar to the first power signal gate.
H02H 1/00 - Details of emergency protective circuit arrangements
H02H 1/06 - Arrangements for supplying operative power
H02H 3/02 - Emergency protective circuit arrangements for automatic disconnection directly responsive to an undesired change from normal electric working condition, with or without subsequent reconnection Details
67.
FAULT-MANAGED POWER VIA BLACK-CHANNEL SAFETY PROTOCOL
The present technology relates to fault-managed power, and particularly, to generating fault-managed power in an industrial automation environment using single-pair Ethernet cabling. A fault-managed power system may include transmitter circuitry and receiver circuitry coupled together via a transmission link formed using single-pair Ethernet cable. The transmitter circuitry can generate a fault-managed power based on power from a power source and transmit an unpulsed signal, including the fault-managed power, to the receiver circuitry via the transmission link. The receiver circuitry can identify an expected power consumption of one or more loads coupled to the receiver circuitry and provide an indication of the expected power consumption to the transmitter circuitry. The transmitter circuitry can detect a fault based on a comparison between the transmitted fault-managed power and the power consumption and terminate transmission of the fault-managed power in response to detecting the fault.
The present technology relates to fault-managed power (FMP), and particularly, to generating FMP in an industrial automation environment using single-pair Ethernet (SPE) cabling for use by DC motors. An FMP system may include a transmitter circuit and receiver circuits coupled together via a transmission link formed using SPE cable. The transmitter circuit can generate a FMP and transmit a pulsed signal having the FMP to the receiver circuits. The transmitter circuitry can also exchange data signals with the receiver circuits over a communication channel using the SPE cable. The receiver circuits can identify an expected power consumption of DC motors coupled to the receiver circuits and provide an indication of the expected power consumption to the transmitter circuit. The transmitter circuit can detect a fault based on a comparison between the transmitted FMP and the power consumption and terminate transmission of the FMP in response to detecting the fault.
H02H 3/16 - Emergency protective circuit arrangements for automatic disconnection directly responsive to an undesired change from normal electric working condition, with or without subsequent reconnection responsive to fault current to earth, frame or mass
H02H 1/00 - Details of emergency protective circuit arrangements
69.
MODELING WIRING ARRANGEMENTS IN AN INDUSTRIAL AUTOMATION ENVIRONMENT
Systems and methods are disclosed for providing virtualized or modeled wiring arrangements in industrial automation equipment. In one implementation a computing device is configured to identify a selection of a wired connection from a plurality of wired connections in a first portion of a user interface, wherein the plurality of wired connections represented in the first portion correspond to industrial automation equipment. The computing device is further configured to, in response to the selection, generate a display in a second portion of the user interface that promotes the wired connection in a model of the industrial automation equipment over other objects in the model.
G05B 19/4155 - Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by programme execution, i.e. part programme or machine function execution, e.g. selection of a programme
70.
MODELING AND SEQUENCING WIRING ARRANGEMENTS IN AN INDUSTRIAL AUTOMATION ENVIRONMENT
Systems and methods are disclosed for modeling and defining sequences for assessing wiring arrangements in industrial automation equipment. In one implementation, a computing device is configured to determine accessibility information associated with wired connections of industrial automation equipment from an access point for a technician and determine an installation sequence for the wired connections in the industrial automation equipment based on the accessibility information. The computing device is further configured to generate a display, wherein the display comprises the installation sequence and a model of the industrial automation equipment.
G06F 30/18 - Network design, e.g. design based on topological or interconnect aspects of utility systems, piping, heating ventilation air conditioning [HVAC] or cabling
71.
GENERATIVE ARTIFICIAL INTELLIGENCE FOR CREATION OF INSTRUCTION CODE FROM AN INPUT
Various systems and methods are presented regarding generating executable computer code/instructions from input files, whereby the input files may be an image file (e.g., JPEG, PDF, etc.). The image file can be digital capture of a sequence of instructions such as a graphical representation comprising a ladder diagram, a function block diagram, a sequential function chart, etc. P&ID and suchlike can also be submitted to the system. Code generated from the input files can be enhanced by application of historical data comprising pertinent subroutines, and suchlike. Further, an entity can be prompted to provide further information in the event of the input file does not provide all of the content.
A system for zero radius direction changes in an independent cart system includes a drive magnet array movably mounted to a mover. The drive magnet array includes at least one drive magnet configured to engage an electromagnetic field generated by coils extending along a track and a first engagement member for selectively positioning the drive magnet array between at least a first position and a second position. A switch track segment defines at least a first and second path for the mover. The first path includes coils to generate the electromagnetic field along the first path, and the second path includes coils to generate the electromagnetic field to along the second path. The drive magnet array is aligned with the first path when the drive magnet array is in the first position and with the second path when the drive magnet array is in the second position.
A method includes a twin model management system presenting a video stream captured by a robot in an industrial facility, the video stream presented in a digital twin (DT) of the industrial facility to a user, receiving a user request to select an input device of an industrial machine, the user request provided by the user via the DT when the industrial machine is depicted in the video stream, providing, in the DT responsive to the user request, a list of input devices indicating input device(s) of the industrial machine that are depicted in a video image of the video stream, receiving a user selection provided via the DT that specifies a target input device in the list, generating, responsive to the user selection, control command(s) specifying operation(s) to be performed by the robot to physically interact with the target input device, and transmitting the control command(s) to the robot.
B25J 13/06 - Control stands, e.g. consoles, switchboards
G05B 19/4155 - Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by programme execution, i.e. part programme or machine function execution, e.g. selection of a programme
74.
HIERARCHAL CASCADING SAFETY SIGNATURES FOR INDUSTRIAL AUTOMATION APPLICATIONS
Systems, methods, and media for hierarchal, cascading safety signatures for industrial automation applications. A method includes receiving a first user input including a safety configuration for a safety controller; generating an aggregate safety signature indicative of the safety configuration for the safety controller including a parent safety signature element and a first child safety signature element; receiving a second user input provided to the user interface including a modification to the safety configuration; generating a second child safety signature element based on the modification; updating the aggregate safety signature based on the second child safety signature element; and causing the safety controller to operate in accordance with the safety configuration and the aggregate safety signature.
G05B 19/406 - Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by monitoring or safety
75.
ANALYSIS WIZARD FOR OPTIMIZING CONTROL LOGIC USING OPERATIONAL DATA IN INDUSTRIAL AUTOMATION ENVIRONMENTS
Various embodiments of the present technology generally relate to solutions for improving industrial automation programming and data science capabilities with machine learning. More specifically, embodiments include systems and methods for implementing machine learning engines within industrial programming and data science environments to improve performance, increase productivity, and add functionality. In an embodiment, a system comprises a machine learning-based analysis engine configured to perform an analysis of operational data from an industrial automation environment. The analysis engine is further configured to perform an analysis of control logic and identify, based on the analysis of the operational data and the analysis of the control logic, a variable that is in the control logic but is not used in the operational data. The system further comprises a notification component configured to surface a notification that the variable is in the control logic but is not used in the operational data.
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
A connector for receiving a ribbon cable, to be assembled via a clamping tool, is provided. The connector includes a housing, a cover, and a protection cap. The housing includes an open top and a bottom. The cover is configured to selectively cover the open top of the housing to enclose the ribbon cable within an interior of the housing. The protection cap is configured to cover the bottom of the housing. The protection cap includes a nonplanar surface with a bump, where the clamping tool contacts the cover and the bump to force the cover toward the housing when the connector is assembled.
Embodiments of the present technology provide systems and methods for mounting a human interface module (HIM). According to various embodiments, the HIM may be configured to mount alternatively to a panel and a cradle. A panel mounting device is used to mount the HIM to a panel. The panel mounting device can be removably coupled to the HIM for panel mounting. The HIM may be installed in a cradle without the panel mounting device in accordance with some embodiments.
A non-transitory computer-readable medium comprising computer-executable instructions that, when executed, are configured to cause a processor to perform operations that include receiving operational parameters for one or more automation devices, wherein the one or more automation devices are configured to implement control logic generated based on a decision tree. The operations also include receiving an output by the decision tree based on the operational parameters. Further, the operations include determining the output is an anomalous output based on a constraint associated with the decision tree. Further still, the operations include generating an updated decision tree based on the anomalous output. Even further, the operations include generating updated control logic for the one or more automation devices based on the updated decision tree. Even further, the operations include sending the updated control logic to the one or more automation devices.
G05B 13/04 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
G05B 13/02 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
A graphical user interface (GUI) for designing an industrial automation system via an electronic display includes a design window and a first accessory window. The GUI presents a library visualization representative of a plurality of objects within the first accessory window, each object represented by an icon and corresponding to a respective industrial automation device. The GUI receives a first input indicative of a first selection of a first object from the library, presents the first object in the design window, receives a second input indicative of a second selection of a second object from the library, presents the second object in the design window, determines a suggested next action based on historical data including a plurality of industrial automation system designs having the first and second objects, and updates the GUI to display a notification comprising the suggested next action.
G05B 19/042 - Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
G06F 3/04817 - Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance using icons
G06F 3/0482 - Interaction with lists of selectable items, e.g. menus
G06F 9/451 - Execution arrangements for user interfaces
G06N 5/046 - Forward inferencingProduction systems
A (GUI) for designing an industrial automation system includes a design window and a first accessory window. The GUI presents a library visualization representative of a plurality of objects within the first accessory window, each object is represented by an icon and corresponds to a respective industrial automation device. The GUI receives inputs indicative of a selection of one or more objects of the plurality of objects from the library, presents the one or more objects in the design window, determines that the one or more inputs do not comply with a set of industrial automation system rules comprising one or more relationships between a plurality of industrial automation devices, and displays a warning message that the one or more inputs do not comply with the set of industrial automation system rules.
G06F 3/04817 - Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance using icons
G06F 3/04842 - Selection of displayed objects or displayed text elements
G06F 3/04847 - Interaction techniques to control parameter settings, e.g. interaction with sliders or dials
G06F 30/17 - Mechanical parametric or variational design
A cloud-based simulation generation service collects industrial data from multiple industrial customers for storage and analysis on a cloud platform. The service employs a simulation generator component that analyzes data to facilitate generating a simulation model that simulates an industrial automation system, including simulating or emulating industrial devices, industrial processes, other industrial assets, or network-related assets or devices, and their respective interrelationships with each other. The simulation generator component also analyzes modification data to facilitate generating a modified simulation model that simulates the industrial automation system based on the modification. The simulation generator component performs operation simulations using the simulation model or modified simulation model to facilitate determining whether making the modification is appropriate, determining or predicting performance of a modified industrial automation system, determining compatibility of a modification with an industrial automation system, or determining or predicting performance of the industrial automation system when processing a work order.
Techniques for converting an initial control program code version to a new control program code version are disclosed herein. In at least one implementation, input and output states of an industrial controller are monitored while the industrial controller executes the initial control program code version to operate a machine system and functional design specification for the industrial controller is generated. An instruction set of the industrial controller is converted into a new instruction set for a new industrial controller, and one or more equivalent instructions in the new instruction set that are equivalent to instructions in the instruction set of the industrial controller are identified. The new control program code version is generated based on at least the functional design specification and the one or more equivalent instructions in the new instruction set that are equivalent to the instructions in the instruction set of the industrial controller.
G05B 13/04 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
G05B 13/02 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
G05B 17/02 - Systems involving the use of models or simulators of said systems electric
G05B 19/05 - Programmable logic controllers, e.g. simulating logic interconnections of signals according to ladder diagrams or function charts
Systems and methods of this disclosure may enable operations that include receiving, via a processor, an indication of a user identifier from an input device associated with a human machine interface terminal (HMI). The processor may identify a user type corresponding to the user identifier. The processor may generate HMI visualization data based on the user type, the user identifier, and a presentation priority data structure. The presentation priority data structure may include presentation priority data corresponding to the user type and the user identifier, which may enable the processor to adjust which subsets of multiple screens are presented to the operator via an HMI based on preferences indicated via the presentation priority data.
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
84.
System and Method to Monitor and Balance Wear in an Independent Cart System
A system for distributing wear on multiple movers in an independent cart system includes a machine learning model executing on a processor. The machine learning model may include models of operation for each of the movers, and the machine learning model is operative to receive multiple inputs for each of the movers. Each of the inputs corresponds to an operating condition for one of the movers as the mover travels along a track for the independent cart system. Each of the inputs are received for each of the movers over multiple runs along the track, and the inputs received generate a training set of data for the movers. A weighting value is determined for each of the movers as a function of the training set of data, where the weighting value corresponds to a level of wear present on each of the movers.
A method may include receiving, via a processing system, a selection of a first dataset associated with one or more operations of one or more industrial automation components of an industrial system that may perform a batch operation. The method may involve generating an optimized dataset based on the dataset, receiving a second dataset associated with one or more additional operations of one or more additional industrial automation components of an additional industrial system that may perform an additional batch operation, and determining one or more deviations between the optimized dataset and the second dataset. The method may also involve determining a contribution of each of a set of parameters to the one or more deviations and generating a visualization representative of the contribution of each of a set of parameters to the deviation.
A method may include receiving, via graphical user interface (GUI) of a processing system, a selection of a dataset associated with one or more operations of one or more industrial automation components of an industrial system. The method may also include receiving, via the GUI of the processing system, a set of input variables associated with the dataset, receiving a target variable associated with the dataset, and receiving a model type for analyzing the dataset. The method may also involve determining, via the processing system, a contribution of each of the set of input variables to the target variable based on the model type; and generating, via the processing system, a visualization representative of one or more statistical relationships between each of the set of input variables and the target variable based on the contribution of each of the set of input variables to the target variable.
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
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.
The disclosure describes an industrial automation environment including an industrial device in communication with a Near Field Communication (NFC) chip. The automation device identifies a fault condition and loads a fault code associated with the fault in the NFC chip. When the device is powered off, a mobile device retrieves the fault code from the NFC chip to facilitate device-troubleshooting. In some implementations, the mobile device loads configuration parameters into the NFC chip when the automation device is powered off. Upon startup, the automation device retrieves the configuration parameters and configures itself accordingly.
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.
A method may include receiving, via a processing system, a request for information associated with an industrial automation system from a user, identifying a prompt associated with the request, and identifying one or more datasets associated with the request based on the prompt and the information. The method may also involve receiving the one or more datasets from one or more data sources, formatting the request and the one or more datasets into a package, and sending the package to a generative artificial intelligence (AI) system. The method may then involve receiving a response from the generative AI system, such that the response may be presented via a display of a human machine interface (HMI) system.
G05B 19/409 - Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by using manual data input [MDI] or by using control panel, e.g. controlling functions with the panelNumerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by control panel details or by setting parameters
An industrial technical support 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.
Systems and methods for establishing a secure session between an industrial device and an end-point device are provided herein. In an example, the method includes establishing, by a client device, a first channel, such as a short-range communication protocol, with an industrial device and extracting, by a software application executing on the client device, configuration information for the industrial device via the first channel. The method also includes establishing, by the client device using the software application, a second channel with an end-point device, generating, by the software application, modified configuration information based on the configuration information extracted from the industrial device, and transmitting, by the client device, the modified configuration information to the end-point device via the second channel.
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
93.
FLEET DEPLOYMENT OF INDUSTRIAL DEVICE CONFIGURATIONS USING NEAR-FIELD COMMUNICATION
Systems and methods for modifying a configuration of an industrial device using near-field communication (NFC) are provided herein. For example, the method includes receiving, via a graphical user interface (GUI) of a software application, a configuration schema for a group of industrial devices. The configuration schema includes a parameter and a range of available values for the parameter for each industrial device of industrial devices. The method also includes determining, by the software application installed on a client device, a configuration for a respective industrial device within the group of industrial devices based on the configuration schema, where the configuration includes a value selected from the range of available values for the parameter and the value is selected based on an order of transmission of the configuration to the respective industrial device. The method also includes transmitting, via NFC from the client device to the respective industrial device, the configuration.
H04L 41/082 - Configuration setting characterised by the conditions triggering a change of settings the condition being updates or upgrades of network functionality
H04L 41/22 - Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks comprising specially adapted graphical user interfaces [GUI]
H04L 67/12 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
An industrial alarm monitoring system leverages generative artificial intelligence (AI) to perform dynamic monitoring and analysis of a customer's industrial processes, identify potential or active performance issues or alarm conditions, and assist users in resolving these issues. The system monitors and collects operational and status data from industrial devices and assets of industrial automation systems and stores information regarding active and historical alarm conditions indicated by this data in an alarm repository. Users can submit natural language requests for assistance with, or information about, active or historical alarms to the system, which leverages trained custom models and a generative AI model to process these requests. The system can formulate natural language alarm resolution guidance based on analysis of the user's request, content of the custom models, responses prompted from the generative AI model, and relevant information about the alarm condition obtained from the alarm repository.
An industrial integrated development environment (IDE) is extended to support creation of device profiles using an intuitive graphical development environment. The environment comprises a device profile development interface that allows a user to select device profile views to be included in a device profile for an industrial device, and to submit edits to the underlying code for the selected device profile views. The system can then generate a new device profile from the modified device profile code. The device profile can be registered with the industrial IDE and used to view and edit device parameters of a corresponding industrial device. The device profile development environment also supports dynamic validation of profile view edits, rendering of graphical previews of the modified device profile view, and submission of both code-based and graphical profile view edits.
An industrial integrated development environment (IDE) supports collaborative tools that allow multiple designers and programmers to remotely submit design input to the same automation system project in parallel while maintaining project consistency. These collaborative features can include, for example, brokering between different sets of design input directed to the same portion of the system project, generating notifications to remote designers when a portion of the system project is modified, sharing of development interfaces or environments, facilitating involvement of outside technical support experts to assist with design issues, and other collaborative features.
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
G05B 19/4093 - Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by part programming, e.g. entry of geometrical information as taken from a technical drawing, combining this with machining and material information to obtain control information, named part programme, for the NC machine
G06T 19/00 - Manipulating 3D models or images for computer graphics
97.
USER INTERFACE LOGICAL AND EXECUTION VIEW NAVIGATION AND SHIFTING
An industrial integrated development environment (IDE) comprises a development interface that affords a user a great deal of control over the editing tools, workspace canvases, and project information rendered at a given time. The industrial IDE system automatically filters the tools, panels, and information available for selection based on a current project development task, such that a focused subset of editing tools relevant to a current development task or context are made available for selection while other tools are hidden. The development interface also allows the user to selectively render or hide selected tools or information from among the relevant, filtered set of tools. This can reduce or eliminate unnecessary clutter and aid in quickly and easily locating and selecting a desired editing function. The IDE's development interface can also conform to a structured organization of workspace canvases and panels that facilitates intuitive workflow.
G06F 3/0483 - Interaction with page-structured environments, e.g. book metaphor
G06F 3/04817 - Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance using icons
G06F 3/0482 - Interaction with lists of selectable items, e.g. menus
Various embodiments of the present technology generally relate to solutions for integrating machine learning models into industrial automation environments. More specifically, embodiments of the present technology include systems and methods for implementing machine learning models within industrial control code to improve performance, increase productivity, and add capability to existing control programs. In an embodiment, a system comprises: a storage component configured to maintain a set of model control schemes for controlling an industrial process, a control component configured to control the industrial process with a control program running a model control scheme, wherein the model control scheme is configured to optimize a first parameter of the industrial process, and a model management component configured to change the model control scheme to optimize a second parameter of the industrial process that is distinct from the first parameter.
G05B 13/04 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
G05B 13/02 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
A cloud-based industrial data services (IDS) architecture leverage smart tags, asset models, and data service applications to facilitate secure transaction and exchange of contextualized factory data between different parties as part of a combined technology and commerce platform, or to perform provide asset owners with insights into operation of their industrial assets. The IDS platform supports a set of services that connect providers of smart industrial devices to plant floor and systems owned by the end users of these devices. The cloud-based platform allows asset providers to publish data service applications for purchase and use by end users of their assets, and allows equipment owners to control remote access to selected sets of their industrial data via the cloud platform.
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
G06F 16/25 - Integrating or interfacing systems involving database management systems
G06F 16/28 - Databases characterised by their database models, e.g. relational or object models
G06Q 10/0639 - Performance analysis of employeesPerformance analysis of enterprise or organisation operations
G06Q 50/00 - Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
H04L 9/32 - Arrangements for secret or secure communicationsNetwork security protocols including means for verifying the identity or authority of a user of the system
An integrated development environment (IDE) leverages a generative AI model to generate industrial control code in accordance with specified functional requirements, which can be provided to the industrial IDE system as intuitive natural language spoken or written text. The industrial IDE can also analyze written code in response to natural language prompts submitted against the code, generate answers to user-submitted questions about the code, and offer recommendations for improving the code in response to specific questions or requests submitted by the user.
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