Rockwell Automation Patente

The present technology relates to clamping breaking currents in a circuit breaker to protect solid-state switches of the circuit breaker during an overload event. In an embodiment, a circuit breaker includes processing circuitry and switching circuitry coupled to the processing circuitry. The switching circuitry includes a first switch coupled to an AC voltage supply, a second switch, and the processing circuitry, a second switch coupled to the first switch, a load, and the processing circuitry, a first current clamping circuit coupled to the AC voltage supply, the second switch, and the processing circuitry, and a second current clamping circuit coupled to the AC voltage supply the first switch, and the processing circuitry. The processing circuitry monitors current at the load and provides gating signals to the first and second switches and the first and second current clamping circuits to control current flow between the AC voltage supply and the load.

A method of controlling movement of a mover along a track of a linear drive system includes obtaining track data from simulated or actual movement of the mover along the track. The method includes determining, based on the track data, a value of angular misalignment between at least one drive coil of the track and a magnet array of the mover due to curvature of one of multiple track sections. The method also includes determining, based on the value of angular misalignment, a correction for a control of at least one of the drive coils. The method also includes operating the at least one of the drive coils according to the correction for the control to compensate for the angular misalignment.

An 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 present technology relates to a modular industrial automation system that is compliant with 4B separation standards from the International Electrotechnical Commission (IEC) for standard number 61439. In particular, when modular industrial automation systems are implemented, the terminals in the electrical cabling cabinet must be properly electrically isolated to meet requirements. However, due to space limitations, the addition of multiple components horizontally within the system creates horizontal access and isolation issues. Further, due to the space limitations, physically accessing the terminals becomes challenging. As yet another challenge, the cabinet may suffer from overheating issues due to the size of the space and the configuration of the terminals. Finally, to be fully compliant, each terminal within the cabinet must be compliant. Accordingly, the design disclosed allows for avoiding overheating while meeting the requirements and providing accessible terminals.

A system, comprising: a memory that stores executable components; and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a device interface component (210) configured to collect runtime data from industrial assets in operation within an industrial facility; a generative artificial intelligence (Al) component (208) configured to, based on analysis of the runtime data and a response prompted from a generative Al model, predict an occurrence of anomalous operation by one or more of the industrial assets, and formulate a corresponding recommended action predicted to mitigate the occurrence of the anomalous operation; and a user interface component (204) configured to render, on a client device, the recommended action as a natural language recommendation.

A non-transitory, tangible, computer readable medium including instructions for generating industrial automation projects that, when executed by processing circuitry, causes the processing circuitry to perform operations including requesting a plurality of documents associated with an industrial automation system, receiving one or more documents of the plurality of documents, extracting contextual data from the one or more documents, and generating an industrial automation project file by applying machine learning techniques on the contextual data, where the industrial automation system is configured to perform an industrial automation process based on the industrial automation project.

A human-machine interface (HMI) development system leverages a generative AI model to assist in development of HMI projects in accordance with specified functional requirements, which can be provided to the development system as intuitive natural language spoken or written text. The system can formulate and implement HMI project edits during design time based on analysis of this natural language design input. After the HMI project is deployed as a runtime application, the system can also receive and process natural language requests to modify the runtime HMI in accordance with described modification criteria.

A system for generating a human-machine interface (HMI) from control code having standard objects. Control code is generated from a model of an automation system suitable for generating a three-dimensional rendering of the automation system and simulating the automation system. The model may also be used for is used for SIL and HIL testing. Standard objects form the control code are used to generate an HMI that includes status indicators for an actuator and control elements for an actuator. The generated HMI is linked to the data sources for the status indicators and the actuator controlled by the control elements. Interacting with the HMI causes a change in the behavior (e.g., position, etc.) of the actuators and results in affecting a condition of the process control environment.

Described systems and methods may enable control of equipment using a response generated by an LLM and a model for the equipment. The techniques may include receiving a prompt related to an operation of an industrial automation equipment. The techniques may also include providing the prompt as an input to a Large Language Model (LLM) that stores information related to the industrial automation equipment. Further, the techniques include retrieving identifier information as an output of the LLM. Further still, the techniques include determining that a process parameter related to the operation of the industrial automation equipment is accessible by the computing system based on the identifier information. Further still, the techniques include obtaining a model for the operation based on the process parameter being accessible, generating a response to the prompt based on the model, controlling the industrial automation equipment based on the response.

A human-machine interface (HMI) development system leverages a generative AI model to assist in development of HMI projects in accordance with specified functional requirements, which can be provided to the development system as intuitive natural language spoken or written text. The system can formulate and implement HMI project edits during design time based on analysis of this natural language design input. After the HMI project is deployed as a runtime application, the system can also receive and process natural language requests to modify the runtime HMI in accordance with described modification criteria.

Described herein are methods and systems for efficiently and accurately distinguishing between the current characteristics associated with inrush current and the current characteristics associated with a short circuit. In particular, the techniques described herein allow a circuit breaking system (also referred to as a circuit breaking device) to tolerate the conditions associated with inrush current while maintaining the ability to detect and responsively mitigate conditions associated with a short circuit. In some cases, the circuit breaking system evaluates the current characteristics of an input signal generated by a power supply in order to drive an industrial device, such as a motor. In such cases, the circuit breaking system acts as an intermediary between the power supply and the industrial device, and under certain circumstances, the circuit breaking system interrupts the flow of electrical energy (i.e., the input signal) to the industrial device, thereby tripping the circuit breaking system.

Described herein are methods and systems for providing a suite assistant associated with a suite of industrial automation software applications. The suite assistant receives queries from a user via an interface that requests assistance with some aspect of industrial automation system design, management, evaluation, diagnostics, and the like. The suite assistant processes the query, identifies an industrial automation software application that is most beneficial with respect to the query and identifies one or more selections for configurable elements of the software application. The suite assistant then deploys an instance of the industrial automation software application, prepopulates the industrial automation software application with the selections and configurations, and provides the preconfigured industrial automation software application to the user via the interface in response to the query.

Disclosed is a corrosion resistant power electronic module having a metal-ceramic substrate including a ceramic layer and a metallic layer, where the metallic layer includes metal bonded to the ceramic layer such that trenches are formed between portions of the metal through which the surface of the ceramic layer is exposed. In a first embodiment, portions of the exposed surface of the ceramic layer are melted in the trenches to modify the surface layer, lowering the roughness, which inhibits corrosion growth in corrosive gas environments. In a second embodiment, a barrier material is disposed within the trenches and bonded to the exposed surface of the ceramic layer such that once bonded, the barrier material does not physically contact the metal of the metallic layer. In a third embodiment, the ceramic layer comprises a high density, ultra-low roughness ceramic insulator.

A non-transitory computer readable medium stores instructions that, when executed by processing circuitry, cause the processing circuitry to receive a command to deploy a data integration pipeline configured to process operational data generated during operation of an industrial automation system, retrieve a data integration pipeline template from a library, wherein the data integration pipeline template includes a plurality of generic components, build the data integration pipeline by replacing the plurality of generic components with a plurality of respective runtime components based on one or more compute capabilities of a runtime environment, and deploying the data integration pipeline to the runtime environment.

A human-machine interface (HMI) development system leverages a generative AI model to assist in development of HMI projects in accordance with specified functional requirements, which can be provided to the development system as intuitive natural language spoken or written text. The system can formulate and implement HMI project edits during design time based on analysis of this natural language design input. After the HMI project is deployed as a runtime application, the system can also receive and process natural language requests to modify the runtime HMI in accordance with described modification criteria.

A human-machine interface (HMI) development system leverages a generative AI model to assist in development of HMI projects in accordance with specified functional requirements, which can be provided to the development system as intuitive natural language spoken or written text. The system can formulate and implement HMI project edits during design time based on analysis of this natural language design input. After the HMI project is deployed as a runtime application, the system can also receive and process natural language requests to modify the runtime HMI in accordance with described modification criteria.

A non-transitory computer readable medium storing instructions that, when executed by processing circuitry, cause the processing circuitry to receive, at a data integration pipeline, data indicative of an event or a condition, wherein the event or the condition is related to safety or security of an industrial automation system, generate an alert in response to the event or the condition, identifying an action to address the event or the condition, and automatically initiating the action.

A non-transitory computer readable medium stores instructions that, when executed by processing circuitry, cause the processing circuitry to receive, at a data integration pipeline, operational data generated by a data source during operation of an industrial automation system, generate context data for the operational data, wherein the context data identifies the data source of the operational data, generate lineage data for the operational data, wherein the lineage data includes a chain of custody of the operational data from the data source to the data integration pipeline, and transmit the operational data, the context data, and the lineage data for storage, processing, integration, display, or a combination thereof.

A human-machine interface (HMI) development system leverages a generative AI model to assist in development of HMI projects in accordance with specified functional requirements, which can be provided to the development system as intuitive natural language spoken or written text. The system can formulate and implement HMI project edits during design time based on analysis of this natural language design input. After the HMI project is deployed as a runtime application, the system can also receive and process natural language requests to modify the runtime HMI in accordance with described modification criteria.

A human-machine interface (HMI) development system leverages a generative AI model to assist in development of HMI projects in accordance with specified functional requirements, which can be provided to the development system as intuitive natural language spoken or written text. The system can formulate and implement HMI project edits during design time based on analysis of this natural language design input. After the HMI project is deployed as a runtime application, the system can also receive and process natural language requests to modify the runtime HMI in accordance with described modification criteria.

The present technology relates to soft-starts of alternating current (AC) motors, and particularly, to controlling a soft-start of an AC motor using a configuration of transistors and diodes. A system may include processing circuitry and gating circuitry. The gating circuitry may include a first transistor coupled to an AC voltage supply, a second transistor coupled to the first transistor and to an AC motor, a first diode coupled across current path terminals of the first transistor, and a second diode coupled across current path terminals of the second transistor. The processing circuitry may be configured to monitor voltage and current of the AC voltage supply and provide gating signals to the control terminals of the first and second transistors to control operations of the first and second transistors based at least in part on one or more desired firing angles and the voltage or current of the AC voltage supply.

A system and method for transferring data between safety controllers during qualification establishes a dedicated communication channel between a first communication core executing in a first safety controller and a second communication core executing in a second safety controller. Safety data is prepared for transfer between the first and second safety controllers. Parameters for the dedicated communication channel are transferred from the first communication core to a first safety core executing in the first safety controller. The safety data is transferred from the first safety core to a second safety core executing in the second safety controller. The safety data received at the second safety controller is verified with the second safety core. Operation of a safety task is enabled in tandem on the first safety core and the second safety core upon successful transfer of the safety data from the first safety controller to the second safety controller.

An independent cart system with reduced particulate generation includes a mover configured to travel along a track. The mover includes wheels mounted to the mover, multiple sealing elements, and multiple dampening elements. Each wheel is operative to engage the track as the mover travels along the track, and each wheel includes a rolling bearing. At least one of the sealing elements is mounted adjacent to each rolling bearing for the wheels to prevent particulate generated by the rolling bearing from leaving the mover. The dampening elements reduce vibration on the mover as the mover travels along the track. A platform is mounted to an upper surface of a drive block for each mover by a fastener. At least one rolling bearing is mounted between the fastener and either the platform or the drive block.

A human-machine interface (HMI) development system leverages a generative Al model to assist in development of HMI projects in accordance with specified functional requirements, which can be provided to the development system as intuitive natural language spoken or written text. The system can formulate and implement HMI project edits during design time based on analysis of this natural language design input. After the HMI project is deployed as a runtime application, the system can also receive and process natural language requests to modify the runtime HMI in accordance with described modification criteria.

An industrial remote support system acts as an interactive assistant that leverages generative augmented reality (AR) and artificial intelligence (AI) techniques to provide dynamic support information for industrial assets. The system can suggest solutions to performance problems based on earlier documented solutions, thereby expediting the process of finding resolutions. Users can submit information about the industrial asset for which support is requested via an optical or data scan of the asset using an AR-capable client device. The system enhances a user's prompt with relevant contextual data retrieved from stored documentation as well as relevant past chat histories to assist the system's generative AI model in recommending accurate resolutions to alarm conditions or performance issues described by the user's prompt.

An industrial digital insights system acts as an interactive assistant that leverages generative artificial intelligence (AI) techniques to suggest solutions to industrial alarm conditions or other performance problems based on earlier documented solutions, thereby expediting the process of finding alarm resolutions. The system enhances a user's prompt with relevant contextual data retrieved from stored documentation as well as relevant past chat histories to assist the system's generative AI model in recommending accurate resolutions to alarm conditions or performance issues described by the user's prompt. The system can also leverage generative AI to formulate and present proactive asset management recommendations based on analysis of the customer's assets and their usage.

A safety function executing at a periodic interval on a pair of controllers is modified during execution by preparing a change record for the safety function in response to an edit request. A communication channel is established between a first core on each controller via a dedicated communication interface. The change record is transmitted between the first core of each controller via the communication channel. The change record is transmitted from the first core to a second core of each controller. Preparing the change record, establishing the communication channel, and transmitting the change record combined execute over multiple periodic intervals for the safety function. The change record is stored in a memory of each controller with corresponding second core for the controller. Storing the change record in the memory of both controllers occurs during a single periodic interval for the safety function.

Systems, methods, and media for implementing updates in a control system without losing safety functionality. An example method includes halting execution of a safety function on a secondary control device; updating the secondary control device while the execution of the safety function is halted on the secondary control device; synchronizing second safety data associated with the safety function and stored in memory of the secondary control device with first safety data associated with the safety function and stored in memory of a primary control device after updating the secondary control device; and restarting the execution of the safety function on the secondary control device after synchronizing the second safety data with the first safety data.

A non-transitory computer readable medium stores instructions that, when executed by processing circuitry, cause the processing circuitry to receive an indication of a host device in an operational technology (OT) network, wherein the host device is communicatively coupled to a target device via the OT network, deploy an endpoint management agent to the host device, identify a driver based on the target device, wherein the driver enables the endpoint management agent to interface with the target device, transmit the driver to the host device, transmit a command to the host device, wherein the command is for the endpoint management agent to perform a task with the target device via the driver, receive, from the host device, data collected during or following performance of the task, and update a record associated with the target device based on the received data.

A non-transitory computer readable medium stores instructions that, when executed by processing circuitry, cause the processing circuitry to receive, from a server, a discovery driver that enables an endpoint management agent running on the processing circuitry to perform discovery of devices, software, or both, running on a subnet of an operational technology (OT) network, execute the discovery driver, receive, from the server, a command to perform the discovery of the devices, the software, or both, running on the subnet of the OT network, via the discovery driver, transmit, on the subnet, based on the command, a first discovery query in a first protocol, receive, in response to the first discovery query, first discovery data, transmit, on the subnet, based on the command, a second discovery query in a second protocol, receive, in response to the second discovery query, second discovery data, and transmit, to the server, the first and second discovery data.

A method may include querying, via a processing system, a database comprising a list of cybersecurity threats associated with operational technology (OT) devices within an industrial system. The method may also include identifying OT devices associated with the list of cybersecurity threats, generating scripts configured to confirm that the OT devices are associated with at least one cybersecurity threat of the list of cybersecurity threats, and sending the scripts to the one or more OT devices. The method may then involve determining that the OT devices are associated with the at least one cybersecurity threat based on responses from the OT devices generated based on the scripts, generating instructions for resolving the at least one cybersecurity threat based on a generative artificial intelligence (AI) system, and sending the instructions to one or more devices.

Systems and methods described herein may improve machine learning operations capable of being applied to many systems, like continuous processes and/or motion devices, without use of a process state identification data from a control system. By identifying process state based on acquired data, such as sensed data, configuration data, and/or motion profiles, or the like, a control system may determine which process state an asset is operated within and select from one or more device models corresponding to that process state to obtain an indication of expected asset operation developed earlier based on in situ training operations. When the control system is disposed within the asset, this analysis may be performed within the "four walls" of the asset, enabling relatively robust analytics to occur locally at the asset as opposed to transmitting the sensing data up into a cloud or the like for analysis.

This disclosure describes interfacing techniques between client devices (110) and industrial automation devices (160) in industrial automation environments. The client devices described herein are configured to submit capabilities requests to an industrial automation devices to determine capabilities and build device profiles, according to some implementations. A user may configure options of the capabilities by making configuration selections within a user interface of the client device. When configuration selections are received via the user interface, the client device submits command requests to the industrial automation devices to configure the capabilities.

An industrial control system includes a first and a second safety program executing in tandem on a first and a second safety controller, respectively. A first and a second fault condition is detected with the first or the second safety program, respectively. A third fault condition is detected by either the first or second safety programs. Monitoring for the third fault condition by the first or second safety programs is disabled upon detecting the first or second fault condition, respectively. A safe operating state is entered when either the first or second safety program detects the third fault condition. The industrial control system operates at a first safety level while both the first and second safety programs monitor the industrial control system for the third fault condition and at a second safety level, lower than first safety level, when either the first or second fault condition is detected.

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A power converter having a dynamic bus controller to control a rectifier DC output for motoring and regenerating power flow directions, in which the controller controls a DC bus voltage between first and second regenerating voltage limits and limits power at the DC output in an increasing fashion with increasing values of the DC bus voltage according to a regenerating power limit parameter for a regenerating direction of power flow at a DC output. For a motoring direction of power flow at the DC output, the controller controls the DC bus voltage at the DC output between first and second motoring voltage limits and limits the power at the DC output in a decreasing fashion with increasing values of the DC bus voltage according to a motoring power limit parameter.

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 also includes various graphical features that assist the user to easily discern the various online and offline stales of industrial control programs developed using the IDE system. Collaboration tools supported by the IDE system facilitate communicative and coordinated editing of control programs by multiple developers, and the IDE system conveys the resulting online and offline states of these programs using intuitive graphical indicators.

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