Method for configuring an intelligent electronic device

    公开(公告)号:US12047231B2

    公开(公告)日:2024-07-23

    申请号:US17719830

    申请日:2022-04-13

    Applicant: ABB Schweiz AG

    CPC classification number: H04L41/0806 H04L41/08 H04L41/16 H04L67/34

    Abstract: A system and method for configuring an intelligent electronic device (IED) from a plurality of IEDs connected in a communication network of a substation with a computing system includes a computing system communicatively connected in the communication network of the substation for transmitting a configuration of at least one application function to the IED for operating an electrical equipment in the substation. The method for configuring the IED comprises using a virtual model of the IED to generate the IED configurations through a simulation that involves a sequence prediction technique. The sequence prediction technique facilitates generating a sequence of functions arranged in an order and sequentially determining connections between at least one input and at least one output of the one or more functions that comprises the application function. The generated sequence of functions and sequence of connections constitute the IED configuration corresponding to a given application function.

    Method for Configuring an Intelligent Electronic Device

    公开(公告)号:US20220239557A1

    公开(公告)日:2022-07-28

    申请号:US17719830

    申请日:2022-04-13

    Applicant: ABB Schweiz AG

    Abstract: A system and method for configuring an intelligent electronic device (IED) from a plurality of IEDs connected in a communication network of a substation with a computing system includes a computing system communicatively connected in the communication network of the substation for transmitting a configuration of at least one application function to the IED for operating an electrical equipment in the substation. The method for configuring the IED comprises using a virtual model of the IED to generate the IED configurations through a simulation that involves a sequence prediction technique. The sequence prediction technique facilitates generating a sequence of functions arranged in an order and sequentially determining connections between at least one input and at least one output of the one or more functions that comprises the application function. The generated sequence of functions and sequence of connections constitute the IED configuration corresponding to a given application function.

    Method and system for configuring devices of a control system based on engineering graphic objects

    公开(公告)号:US10095923B2

    公开(公告)日:2018-10-09

    申请号:US15515168

    申请日:2015-09-16

    Applicant: ABB Schweiz AG

    Abstract: In aspects, the present invention discloses a method of configuring devices of a control system in a plant using a configuration server. The method comprises importing an engineering graphic object, detecting a plurality of textual elements and graphic elements, identifying a set of textual elements and a set of graphic elements as legends, associating the set of graphic elements with corresponding textual elements and the set of textual elements with a corresponding graphic elements, updating a symbol vocabulary and a device label vocabulary using the set of graphic elements and the set of textual elements, associating one or more graphic elements and one or more textual elements from the plurality of graphic elements and the plurality of textual elements with corresponding devices, determining control information of a device based on the associated graphic elements and associated textual elements, and generating a plurality of engineering artifacts based on the control information.

    Method of Detecting Faults in Intelligent Electronic Devices

    公开(公告)号:US20220147410A1

    公开(公告)日:2022-05-12

    申请号:US17439020

    申请日:2020-03-09

    Applicant: ABB Schweiz AG

    Abstract: A method for detecting a fault in an intelligent electronic device that includes components uses a Bayesian network. The method includes detecting a failure event in the components, obtaining a first list of cause of failures in the component using a fault tree model, computing probability of the cause of failures to obtain a second list of probable causes of failure by monitoring of information about the elements identified in the first list, identifying a root cause of failure associated with the element comprised in the component using the Bayesian network based on the second list, and initiating a function. The function may be one of restarting the element having the root cause of failure, a filtering operation for input data provided to that element; and providing an alert in the human machine interface associated with the intelligent electronic device.

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