Method for Generating a Process Model

    公开(公告)号:US20230050321A1

    公开(公告)日:2023-02-16

    申请号:US17977355

    申请日:2022-10-31

    Applicant: ABB Schweiz AG

    Abstract: A method for generating a process model modeling a manual mode procedure instance of a plant process includes providing log events of operational actions; selecting related sequences of manual mode operational actions from the log events; filtering the related sequences according to an individual plant section; identifying a sequential order from the filtered related sequences; determining statistical properties of values of related process variables and/or statistical properties of values of related set point changes to each sequential ordered manual mode operational action from the filtered related sequences; generating the process model of the manual mode procedure instance by arranging related manual mode operational actions with the sequential order of each operational action assigned with the statistical properties of the values of related process variables and/or assigned with the statistical properties of the values of the related set point changes.

    Method and System for Industrial Change Point Detection

    公开(公告)号:US20240160160A1

    公开(公告)日:2024-05-16

    申请号:US18455340

    申请日:2023-08-24

    Applicant: ABB Schweiz AG

    CPC classification number: G05B13/027

    Abstract: A method for detecting change points, CPs, in a signal of a process automation system, includes, in an offline learning phase, unsupervised, candidate CPs on at least one offline signal using unsupervised detection method are detected, CPs are selected from the candidate CPs; the selected CPs are provided to a supervised process; in the supervised process, an offline machine-learning (ML) system is trained to refine CPs from the selected CPs using a supervised machine learning method; a training data set for an online ML system is created using the offline ML system by projecting the refined CPs on the signal; the online ML system is trained in a supervised manner, using the created training data set; and after the offline learning phase, CPs are detected using the trained online ML system.

    Computer system and method for controlling user-machine dialogues

    公开(公告)号:US11069356B2

    公开(公告)日:2021-07-20

    申请号:US16988732

    申请日:2020-08-10

    Applicant: ABB Schweiz AG

    Abstract: A computer system for controlling a dialogue between a user and the computer system, the computer system being communicatively coupled with an industrial control system controlling an industrial system, the computer system including: an interface for receiving intent inputs representing a respective desired interaction with the computer system; an intent determination module for determining the desired interactions of received intent inputs; a data storage for storing one or more directed graphs, each graph specifying an industrial control domain specific dialogue, a particular graph defining a dialogue state machine with a plurality of nodes representing states of the dialogue, and with edges representing transitions between the states, each state transition from a first state to a second state depending on at least one precondition, the desired interaction of a received intent input corresponding to a target node to be reached from a current node of the particular graph.

    COMPUTER SYSTEM AND METHOD FOR CONTROLLING USER-MACHINE DIALOGUES

    公开(公告)号:US20210166684A1

    公开(公告)日:2021-06-03

    申请号:US16988732

    申请日:2020-08-10

    Applicant: ABB Schweiz AG

    Abstract: A computer system for controlling a dialogue between a user and the computer system, the computer system being communicatively coupled with an industrial control system controlling an industrial system, the computer system including: an interface for receiving intent inputs representing a respective desired interaction with the computer system; an intent determination module for determining the desired interactions of received intent inputs; a data storage for storing one or more directed graphs, each graph specifying an industrial control domain specific dialogue, a particular graph defining a dialogue state machine with a plurality of nodes representing states of the dialogue, and with edges representing transitions between the states, each state transition from a first state to a second state depending on at least one precondition, the desired interaction of a received intent input corresponding to a target node to be reached from a current node of the particular graph.

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