IMPLEMENTING DEVICE MODIFICATIONS BASED ON MACHINE LEARNING PROCESSES PERFORMED WITHIN A SECURE DEPLOYMENT SYSTEM

    公开(公告)号:US20240160174A1

    公开(公告)日:2024-05-16

    申请号:US18107005

    申请日:2023-02-07

    CPC classification number: G05B19/0423 G06N20/00

    Abstract: 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.

    Automation device firmware as a service via a container implementation

    公开(公告)号:US12147217B2

    公开(公告)日:2024-11-19

    申请号:US17950846

    申请日:2022-09-22

    Abstract: 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.

    Symbolic access of industrial device systems and methods

    公开(公告)号:US12001196B2

    公开(公告)日:2024-06-04

    申请号:US17948921

    申请日:2022-09-20

    CPC classification number: G05B19/41845 G05B19/4186

    Abstract: 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 receiving a first input corresponding to the first symbol object instance. The first input may include an indication of a change to the original symbolic definition. The operations may include identifying a type of the industrial automation device based on the first symbol object instance and generating enhanced template data based on the type of the industrial automation device, the first input, and the first symbol object instance.

    Symbolic access of industrial device systems and methods

    公开(公告)号:US12099345B2

    公开(公告)日:2024-09-24

    申请号:US17842078

    申请日:2022-06-16

    CPC classification number: G05B19/41835 G05B2219/31368

    Abstract: 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.

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