Verifying the Design of a Function Module for a Modular Industrial Plant

    公开(公告)号:US20240329621A1

    公开(公告)日:2024-10-03

    申请号:US18620082

    申请日:2024-03-28

    Applicant: ABB Schweiz AG

    CPC classification number: G05B19/4097 G05B2219/31362

    Abstract: A method for verifying the design of a function module in an industrial plant having control logic for a physical process; logic to accept commands from a superordinate management system; communication between logics and between the function module and the industrial plant; and input/output channels, the method comprising: obtaining a ruleset comprising at least requirements for I/O channels and their connections that are necessary conditions for the function module to perform its intended function in the industrial plant; checking whether the input/output channels of the function module and their connections meet the rules in the ruleset; and in response to determining that at least one rule in the ruleset is not met, determining that the design of the function module has an error, and preventing use of the function module in the modular industrial plant.

    Method for an Efficient Performance Monitoring of a System in a Hierarchical Network of Distributed Devices

    公开(公告)号:US20240303175A1

    公开(公告)日:2024-09-12

    申请号:US18598034

    申请日:2024-03-07

    Applicant: ABB Schweiz AG

    CPC classification number: G06F11/3409

    Abstract: A method for system monitoring in a hierarchical network of distributed edge devices includes a master edge, first and second client edges connected via a first communication interface to the master edge, the method including receiving sensor data from a sensor device via a second communication interface, determining a first local model parameter representing a machine learning (ML) model of the at least first client edge based on the sensor data; storing the first local model parameter in a data storage of the at least first client edge; collecting the first local model parameter from the at least first client edge; and generating a global ML model based on the at least first local model parameter, wherein the global ML model is used for monitoring a system performance or a condition of the system.

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