Rockwell Automation Technologies Incorporated

Michael J Anthony

Rob Alan Entzminger

David Christopher Mazur

Nathaniel S Sandler

Scott A Miller

Patrick E Ozimek

Jonathan Alan Mills

Bruce T McCleave, Jr

Chris Softley

Randy A Cannady

Jerome R Anderson

Timothy A Caine

Douglas A Coulter

Todd A Wiese

Tim S Biernat

Christopher Wayne Como

Adam J Gregory

James M Teal

Evan J Kausalik

Randy Scott Oakley

Robert J Koba

Beniamin J Skubis

Rudy Zhi Yang

Jr Bruce T Mccleave

A non-transitory computer readable medium stores instructions that cause a processor to receive an indication of an event associated with an industrial automation system, wherein the industrial automation system includes a plurality of devices configured to perform a plurality of operations within the industrial automation system, and wherein each of the plurality of devices includes a compute surface configured to perform one or more software tasks, determine a plurality of data processing tasks to perform based on the event, identify a portion of the plurality of devices to perform the plurality of data processing tasks based on the compute surface available for each of the plurality of devices, and deploy a container to each of the portion of the plurality of devices, wherein each container of each of the portion of the plurality of devices is configured to perform at least one of the plurality of data processing tasks.

Systems and methods for condition-based deployment of chainable compute operations for constrained computing devices

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

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 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

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.

Symbolic access of industrial device systems and methods based on an on-premise gateway device

A method for managing device lifecycles within an industrial automation environment. The method includes receiving a scanning configuration and a request for lifecycle management data through a user interface, and based on the scanning configuration, scanning a plurality of industrial devices within the industrial automation environment to produce configuration data for the industrial automation environment. The method also includes transferring the configuration data and the request for lifecycle management data to a product compatibility and download center through a communication interface, receiving lifecycle management data from the product compatibility and download center through the communication interface, and displaying the lifecycle management data to a user through the user interface.

Lifecycle management of industrial automation devices

A human interface technique is disclosed for industrial automation systems. The technique allows for visualizations to be distributed to interfaces, such as thin client interfaces, from automation components. For access to the content, a user may be initially authenticated in a first manner, such as by multi-factor authentication. Thereafter, or for a certain time or location, the user may be authenticated by a reduced number of factors, such as single-factor authentication. The authentication may be used to deliver the visualizations based on policies of a visualization manager, such as the user identification, the user role, the user location, and so forth. The reduced factor authentication allow for users to freely move and view visualizations on any available device, or at different locations, and so forth, but still based on the policies.

Persistent authentication in dynamic automation visualization content delivery

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Milwaukee, WI, United States of America

Michael J Anthony