Rockwell Automation Technologies Incorporated

Rob Alan Entzminger

David Christopher Mazur

Jonathan Alan Mills

Bruce T McCleave, Jr

Todd A Wiese

Nathaniel S Sandler

Michael J Anthony

James M Teal

Patrick E Ozimek

Roberto S Marques

Chris Softley

Ryan Coon

Corey A Peterson

Scott Duane Day

John Albert Kay

Tim S Biernat

Mithun Mohan Nagabhairava

Bruce K Venne

Andrew J Schaeffler

Scotty Bromfield

Robert J Miklosovic

Troy Micheal Bellows

Calvin C Steinweg

Steven Marshall

Noel Henderson

Kurt R Mickler

Marius G Chis

Peter A Morell

Timothy L Stanford

Dave C Mazur

Steven Clohessy

Pieter Wolmarans

Scott D Day

Le Roy G Howe

Jeffrey Schmelebeck

Jr Bruce T Mccleave

John A Kay

A method may involve receiving, via at least one processor, a request from an industrial component operating in an industrial automation system, such that the request may include an indication of a software function. The method may then involve querying a container registry having a plurality of container images based on the software function, identifying at least one container image of the plurality of container images that corresponds to the software function, sending an indication of the at least one container image to the industrial component, and receiving a selection of the at least one container image from the industrial component. The method may also involve retrieving the at least one container image from the container registry and sending the at least one container image to the industrial component.

Container registry and subscription service for industrial systems

An industrial automation system may include a first computing device that may receive operational technology (OT) data from industrial automation devices of an industrial automation system, determine identities of the industrial automation devices based on the OT data, determine that the OT data includes data attributes having variations as compared to additional OT data, transmit the identifiers and the data attributes to a second computing device in response to determining that the data attributions have the variations, receive containers including updated digital representations of the industrial automation devices from the second computing device, execute the containers to output additional data attributes, and send commands to the industrial automation devices to modify processes based the additional data attributes.

Data driven digital twins for industrial automation device operation enhancement

A method may include receiving an indication of an available updated container. The method may also involve identifying one or more compute surfaces comprising a first container and a second container that correspond to the available container, such that the first container may control one or more operations of an operational technology (OT) device. The method may also include scheduling a deployment of the updated container to replace the second container, receiving expected output data associated with a digital model associated with the OT device, and scheduling a switchover of control of the one or more operations to the second container based on the expected output data.

Containerized modeling of device updates or modifications via digital twins

An industrial automation device includes first processing circuitry configured to perform a first set of operations associated with controlling the industrial automation device or one or more industrial automation devices communicatively coupled to the industrial automation device. The industrial automation device includes input/output circuitry communicatively couplable to an electronic device having second processing circuitry that is configured to execute computer-readable instructions to execute a software container and receive, in the software container, data from the industrial automation device, the one or more industrial automation devices, or both. The second processing circuitry executes the computer-readable instructions to perform, using the software container, a second set of operations associated with controlling the industrial automation device or the one or more industrial automation devices. The second processing circuitry is also executes the computer-readable instructions to adjust an operation of the industrial automation device based on the second set of operations.

Application driven enhancement to industrial automation device via container implementation

An industrial automation device includes processing circuitry and a non-transitory computer-readable medium that includes instructions that, when executed by the processing circuitry of the industrial automation device, cause the processing circuitry to execute a software container and receive, at the software container, data from one or more industrial automation devices communicatively coupled to the industrial automation device. The instructions, when executed, also cause the processor to determine, using the software container, one or more control operations for the industrial automation device or the one or more industrial automation devices based on the data. Furthermore, the instructions, when executed, cause the processor to cause the industrial automation device to perform the one or more control operations or send the one or more control operations to the one or more industrial automation devices.

Automation device firmware as a service via a container implementation

Embodiments of this present disclosure may include systems that perform operations including receiving a first symbol instance from an industrial automation device. The first template object instance may characterize a dataset accessible to the industrial automation device. Symbol object instances may inherit a categorization with respect to categories associated with the industrial automation device including an identity, a state, a runtime status, a maintenance status, sustainability information, or any combination thereof. The operations may include identifying a type of the industrial automation device based on the first symbol instance and generating template data based on the type of the industrial automation device and the first symbol instance. The template data may include values associated with the dataset and the categories associated with the first symbol instance. The operations may also include sending a control signal to the industrial automation device based on the template data.

Symbolic access of industrial device systems and methods

Systems and methods described herein may relate to a system that includes one or more industrial devices that perform one or more operations within an industrial automation system. One or more industrial devices may include a compute surface able to perform one or more software tasks. The system may include a processor that determines a trigger event has occurred. The processor may determine additional data and a target device based on the trigger event, where the processor may be located on a different hierarchical level as compared to the target device. The processor may determine a container to be deployed to the target device based on the container generating the additional data when deployed on the target device. The processor may deploy the container to the target device.

Adaptive container deployment to hierarchical levels associated with an automation control system

A method may include receiving, via a secure deployment management (SDM) system, data associated with one or more operations of an industrial device from a secure deployment management (SDM) node associated with the industrial device. The data is received via a secure communication channel established by the SDM system with the SDM node and security protocols. The method also includes sending the data to a computerized maintenance management system (CMMS) container component may perform tasks in conjunction with a computerized maintenance management system (CMMS) process, such that the CMMS container component may communicate with the CMMS process via a first firewall through which the SDM system is incapable of communicating. The SDM system may enable the data associated with the operations to communicate with the SDM node through a second firewall between the SDM system and the SDM node, the second firewall being different from the first firewall.

Coordinating maintenance management operations via a secure deployment system

A method may include receiving, via a secure deployment management (SDM) system, data associated with operations of an industrial device from a SDM node associated with the industrial device. The data is received via a secure communication channel established by the SDM system with the SDM node and security protocols. The SDM node is communicatively coupled with a machine learning system for sending and receiving data. The machine learning system may generate an updated machine learning model based on the data and a machine learning model representative of expected outputs associated with the operations of the industrial device and generate updated configuration data based on the updated machine learning model. The method may then include receiving the updated configuration data from the SDM node via the secure communication channel and sending the updated configuration data to the industrial device without performing security operations on the updated configuration data.

Implementing device modifications based on machine learning processes performed within a secure deployment system

A method may include receiving, via a secure deployment management (SDM) system, a notification indicative of a change in configuration data associated with an industrial device from a secure deployment management (SDM) node associated with the industrial device. The notification is received via a secure communication channel established by the SDM system with the SDM node and one or more security protocols. The method also includes retrieving, via the SDM system, the configuration data associated with the industrial device from a data source in response to receiving the notification and sending, via the SDM system, the configuration data to the SDM node via the secure communication channel. The industrial device may receive the configuration data from the SDM node without performing one or more security operations on the configuration data.

Managing firmware and software updates within a secure deployment system

A non-transitory computer-readable medium stores instructions that, when executed by a processor, cause the processor to receive, via the processor, a characteristic of data to be collected from an operational technology (OT) device disposed within an OT network associated with an industrial automation system configured to perform an industrial automation process, determine, via the processor, that the characteristic exceeds a threshold value, and deploy, via the processor, in response to determining that the characteristic exceeds the threshold value, a container to a compute surface within the OT network that is disposed within a threshold distance of the OT device. The container is configured to receive the data from the OT device and process the received data.

Systems and methods for container-based data collection and analysis in an operational technology network

A method may include receiving, via a secure deployment management (SDM) system, configuration data associated with an industrial device, identifying, via the SDM system, a presence of a secure deployment management (SDM) node associated with the industrial device, and establishing, via the SDM system, a secure communication channel between the SDM system and the SDM node using one or more security protocols. The method may also involve sending, via the SDM system, the configuration data to the industrial device via the secure communication channel. The industrial device may receive the configuration data without performing one or more security operations on the configuration data.

Facilitating direct device-to-cloud communications within a secure deployment management system

A non-transitory computer-readable medium includes instructions that, when executed by processing circuitry, cause the processing circuitry to receive, from an edge device of an industrial automation system, data indicative of a type of one or more devices in the industrial automation system, one or more types of data generated by the one or more devices, one or more components included in the one or more devices, firmware of the one or more devices, or any combination thereof. When executed, the instructions also cause the processing circuitry to identify, based on the received data, either a firmware update for the industrial automation system or, from a container repository, a container that is implementable on the edge device. Additionally, when executed, the instructions cause the processing circuitry to cause a container image for the container or firmware update for the firmware to be sent to the edge device.

Dynamic routing and edge orchestration for industrial automation data

An industrial automation device includes processing circuitry and a non-transitory computer-readable medium having instructions that, when executed by the processing circuitry, cause the processing circuitry to execute a software container and receive, at the software container, a first set of data having raw data from one or more industrial automation devices communicatively coupled to the industrial automation device. When executed, the instructions also cause the processing circuitry to pre-process the first set of data using the software container to generate a second set of data and send the second set of data to a second industrial automation device communicatively coupled to the first industrial automation device.

Chainable and nested edge for industrial automation device analytics

Embodiments of this present disclosure may include systems that perform operations including receiving a request to access data of an industrial automation device from a requesting device and identifying the industrial automation device based on the request. The operations may include sending a query for template data to the industrial automation device based on the request and symbolic data operations. The template data may include one or more instantaneous values associated with the industrial automation device. The operations may include sending the template data to the requesting device.

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Shawnee, KS, United States of America

Rob Alan Entzminger