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公开(公告)号:US20230384752A1
公开(公告)日:2023-11-30
申请号:US18448523
申请日:2023-08-11
Applicant: ABB Schweiz AG
Inventor: Pablo Rodriguez , Jens Doppelhamer , Benjamin Kloepper , Reuben Borrison , Marcel Dix , Benedikt Schmidt , Hadil Abukwaik , Arzam Muzaffar Kotriwala , Sylvia Maczey , Dawid Ziobro , Simon Hallstadius Linge , Marco Gaertler , Divyasheel Sharma , Chandrika K R , Gayathri Gopalakrishnan , Matthias Berning , Roland Braun
IPC: G05B19/05
CPC classification number: G05B19/056 , G05B2219/1204
Abstract: A method includes acquiring state variables that characterize an operational state of an industrial plant; acquiring interaction events of a plant operator interacting with the distributed control system via a human-machine interface; determining based on the interaction events, and with state variables as input data, whether one or more interaction events are indicative of the plant operator executing a task that is not sufficiently covered by engineering of the distributed control system. When this determination is positive, mapping the input data to an amendment and/or augmentation for the engineering tool that has generated the application code.
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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
Inventor: Benedikt Schmidt , Marcel Dix , Martin Hollender , Andrew Cohen , Arzam Muzaffar Kotriwala , Marco Gaertler , Sylvia Maczey , Benjamin Kloepper
IPC: G05B19/042
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.
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公开(公告)号:US20240019849A1
公开(公告)日:2024-01-18
申请号:US18475681
申请日:2023-09-27
Applicant: ABB Schweiz AG
Inventor: Dawid Ziobro , Arzam Muzaffar Kotriwala , Marco Gaertler , Jens Doppelhamer , Pablo Rodriguez , Matthias Berning , Benjamin Kloepper , Reuben Borrison , Marcel Dix , Benedikt Schmidt , Hadil Abukwaik , Sylvia Maczey , Simon Hallstadius Linge , Divyasheel Sharma , Chandrika K R , Gayathri Gopalakrishnan
IPC: G05B19/418
CPC classification number: G05B19/4184 , G05B2219/34465
Abstract: An assistance system comprises a plant topology repository comprising a representation of the components of the plant and relations between the components; a monitoring subsystem configured for monitoring signals from the components and for monitoring a related event, as a key for the monitored signals; an aggregation subsystem configured for storing a plurality of the monitored signals and the related events, wherein at least one of the events is the abnormal situation; an identification subsystem configured for comparing currently monitored signals to stored monitored signals and the related event; and an evaluation subsystem configured for outputting a predefined action, if the currently monitored signals match to the event that is the abnormal situation.
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公开(公告)号:US20220343193A1
公开(公告)日:2022-10-27
申请号:US17724693
申请日:2022-04-20
Applicant: ABB Schweiz AG
Inventor: Divyasheel Sharma , Benjamin Kloepper , Marco Gaertler , Dawid Ziobro , Simon Linge , Pablo Rodriguez , Matthias Berning , Reuben Borrison , Marcel Dix , Benedikt Schmidt , Hadil Abukwaik , Arzam Muzaffar Kotriwala , Sylvia Maczey , Jens Doppelhamer , Chandrika K R , Gayathri Gopalakrishnan
IPC: G06N5/04
Abstract: A decision support system and method for an industrial plant is configured and operates to: obtain a causal graph modeling causal assumptions relating to conditional dependence between variables in the industrial plant; obtain observational data relating to operation of the industrial plant; and perform causal inference using the causal graph and the observational data to estimate at least one causal effect relevant for making decisions when operating the industrial plant.
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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
Inventor: Ruomu Tan , Marco Gaertler , Benjamin Kloepper , Sylvia Maczey , Andreas Potschka , Martin Hollender , Benedikt Schmidt
IPC: G05B13/02
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.
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公开(公告)号:US20230393538A1
公开(公告)日:2023-12-07
申请号:US18452313
申请日:2023-08-18
Applicant: ABB Schweiz AG
Inventor: Dawid Ziobro , Jens Doppelhamer , Benedikt Schmidt , Simon Hallstadius Linge , Gayathri Gopalakrishnan , Pablo Rodriguez , Benjamin Kloepper , Reuben Borrison , Marcel Dix , Hadil Abukwaik , Arzam Muzaffar Kotriwala , Sylvia Maczey , Marco Gaertler , Divyasheel Sharma , Chandrika K R , Matthias Berning
CPC classification number: G05B13/0265 , G05B23/0216 , G05B2223/02
Abstract: A method for providing a solution strategy for a current event in industrial process automation includes monitoring a process for events and recording manual user action data, upon occurrence of an event, acquiring the recorded data regarding manual user actions before, during, and after the occurrence of the event, learning a procedure for handling the event based on the acquired data, and applying the learnt procedure to a currently occurring event.
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公开(公告)号:US20230237284A1
公开(公告)日:2023-07-27
申请号:US18193809
申请日:2023-03-31
Applicant: ABB Schweiz AG
Inventor: Benedikt Schmidt , Marco Gaertler , Sylvia Maczey , Pablo Rodriguez , Benjamin Kloepper , Arzam Muzaffar Kotriwala , Nuo Li
CPC classification number: G06F40/58 , G06F40/30 , H04L67/535
Abstract: A method for controlling a virtual assistant for an industrial plant includes receiving by an input interface an information request, wherein the information request comprises at least one request for receiving information about at least part of the industrial plant; determining by a control unit a model specification using the received information request; determining by a model manager a machine learning model using the model specification; and providing by the control unit a response to the information request using the determined machine learning model.
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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
Inventor: Andrew Cohen , Benedikt Schmidt , Benjamin Kloepper , Marco Gaertler , Arzam Kotriwala , Marcel Dix , Sylvia Maczey
IPC: G10L15/22 , G10L15/30 , G05B19/042
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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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
Inventor: Andrew Cohen , Benedikt Schmidt , Benjamin Kloepper , Marco Gaertler , Arzam Kotriwala , Marcel Dix , Sylvia Maczey
IPC: G10L15/22 , G10L15/30 , G05B19/042
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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公开(公告)号:US20250110493A1
公开(公告)日:2025-04-03
申请号:US18978207
申请日:2024-12-12
Applicant: ABB Schweiz AG
Inventor: Benedikt Schmidt , Benjamin Kloepper , Reuben Borrison , Arzam Muzaffar Kotriwala , Pablo Rodriguez , Divyasheel Sharma , Marcel Dix , Marco Gaertler , Chandrika K R , Ruomu Tan , Jens Doppelhamer , Hadil Abukwaik
IPC: G05B23/02
Abstract: A method for recommending an operational command includes receiving an alarm from a sensor and/or an operator; obtaining the current state of the plant that includes a current process value and/or operational command; comparing the current state to a list of historic states, each comprising a plurality of historic process values and/or historic operational commands; when the current state matches a subset of at least one of the historic states, starting a simulation and running a plurality of simulations, each based on a variation of at least one of the historic operational commands; determining, for each simulation of the plurality of simulations, a quality value, based on at least one quality criterion; and recommending the variation of the operational command that resulted in the simulation with the highest quality value.
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