公开(公告)号：US20230023896A1

公开(公告)日：2023-01-26

申请号：US17957592

申请日：2022-09-30

Applicant: ABB Schweiz AG

Inventor： Benedikt Schmidt ,  Ido Amihai ,  Arzam Muzaffar Kotriwala ,  Moncef Chioua ,  Dennis Janka ,  Felix Lenders ,  Jan Christoph Schlake ,  Martin Hollender ,  Hadil Abukwaik ,  Benjamin Kloepper

IPC: G05B19/418 ,  G06N20/00

Abstract: A method of transfer learning for a specific production process of an industrial plant includes providing data templates defining expected data for a production process, and providing plant data, wherein the data templates define groupings for the expected data according to their relation in the industrial plant; determining a process instance and defining a mapping with the plant data; determining historic process data; determining training data using the determined process instance and the determined historic process data, wherein the training data comprises a structured data matrix, wherein columns of the data matrix represent the sensor data that are grouped in accordance with the data template and wherein rows of the data matrix represent timestamps of obtaining the sensor data; providing a pre-trained machine learning model using the determined process instance; and training a new machine learning model using the provided pre-trained model and the determined training data.

公开(公告)号：US20220035810A1

公开(公告)日：2022-02-03

申请号：US17500972

申请日：2021-10-14

Applicant: ABB SCHWEIZ AG

Inventor： Benedikt Schmidt ,  Martin Hollender ,  Sylvia Maczey

IPC: G06F16/2458 ,  G06F16/2455 ,  G06F16/23 ,  G05B19/418

Abstract: A control module is adapted to control technical equipment by processing batch-run data from the technical equipment. The control module operates according to parameters that are obtained by a parameter module. The module receives a reference plurality of multi-variate reference time series with data values from sources that are related to the equipment. There are time series with measurement values and time series with data that describes particular manufacturing operations during a batch-run time interval. The module splits the time interval into phases by determining transitions between the particular manufacturing operations, and divides the time series into particular phase-specific partial series. For each phase separately, and for the phase-specific partial series in combination, the module differentiates phase-specific time series into relevant partial time series or non-relevant partial time series and set the parameters accordingly.

公开(公告)号：US20210396584A1

公开(公告)日：2021-12-23

申请号：US17467295

申请日：2021-09-06

Applicant: ABB Schweiz AG

Inventor： Ralf Gitzel ,  Subanatarajan Subbiah ,  Benedikt Schmidt

IPC: G01J5/00 ,  G06N20/00 ,  G06N3/08 ,  G06T7/13

Abstract: An apparatus for monitoring a switchgear includes: an input unit; a processing unit; and an output unit. The input unit provides the processing unit with a monitor infra-red image of a switchgear. The processing unit implements a machine learning classifier algorithm to analyse the monitor infra-red image and determine if there is one or more anomalous hot spots in the switchgear. The machine learning classifier algorithm has been trained based on a plurality of different training infra-red images, the plurality of training infra-red images including a plurality of synthetic infra-red images generated from a corresponding plurality of visible images. The output unit outputs information relating to the one or more anomalous hot spots.

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.

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.

公开(公告)号：US20250117537A1

公开(公告)日：2025-04-10

申请号：US18929853

申请日：2024-10-29

Applicant: ABB Schweiz AG

Inventor： Joakim Astrom ,  Divyasheel Sharma ,  Yemao Man ,  Gayathri Gopalakrishnan ,  Benjamin Kloepper ,  Dawid Ziobro ,  Benedikt Schmidt ,  Arzam Muzaffar Kotriwala ,  Marcel Dix

IPC: G06F30/18 ,  G06F30/27 ,  G06F113/14

Abstract: A method for interactive explanations in industrial artificial intelligence systems includes providing a machine learning model and a set of test data, a set of training data and a set of historical data simulating a piping and process equipment; predicting a result for the piping and process equipment based on the machine learning model using the set of test data and the set of training data, wherein the set of historical data is used by the machine learning model to predict at least one parameter of the piping and process equipment; and presenting the predicted at least one parameter on a piping and instrumentation diagram of the piping and process equipment.

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.

公开(公告)号：US20250053879A1

公开(公告)日：2025-02-13

申请号：US18928369

申请日：2024-10-28

Applicant: ABB Schweiz AG

Inventor： Dawid Ziobro ,  Benjamin Kloepper ,  Marcel Dix ,  Benedikt Schmidt ,  Arzam Muzaffar Kotriwala ,  Yemao Man ,  Divyasheel Sharma ,  Gayathri Gopalakrishnan ,  Joakim Astrom

IPC: G06N20/00

Abstract: A method for enabling user feedback and summarizing return of investment for machine learning systems includes providing a training data set and an initial machine learning model; providing a result of the initial machine learning model; receiving feedback on the result of the initial machine learning model from a user enriching the training dataset based on the feedback to an enriched data set; and retraining the initial machine learning model to a retrained machine learning model based on an enriched data set.

公开(公告)号：US11880192B2

公开(公告)日：2024-01-23

申请号：US17228730

申请日：2021-04-13

Applicant: ABB Schweiz AG

Inventor： Dennis Janka ,  Moncef Chioua ,  Pablo Rodriguez ,  Mario Hoernicke ,  Benedikt Schmidt ,  Benjamin Kloepper

IPC: G05B19/418 ,  G06F30/18 ,  H04L41/12 ,  H04L41/14

CPC classification number: G05B19/41865 ,  G05B19/4183 ,  G05B19/4185 ,  G05B19/41885 ,  G06F30/18 ,  H04L41/12 ,  H04L41/145

Abstract: A method for determining an interdependency between a plurality of elements in an industrial processing system includes: providing a process flow diagram (PFD) of a topology of the processing system; transforming the PFD into a directed graph, each element of the plurality of elements being transformed into a node and each relation between the plurality of elements being transformed into a directed edge; selecting one node of the plurality of nodes as a starting node; and constructing a subgraph, the subgraph including all the nodes that are forward-connected from the starting node so as to show at least one interdependency between the plurality of elements in the subgraph.

公开(公告)号：US20240005232A1

公开(公告)日：2024-01-04

申请号：US18448535

申请日：2023-08-11

Applicant: ABB Schweiz AG

Inventor： Benedikt Schmidt ,  Jens Doppelhamer ,  Pablo Rodriguez ,  Benjamin Kloepper ,  Reuben Borrison ,  Marcel Dix ,  Hadil Abukwaik ,  Arzam Muzaffar Kotriwala ,  Sylvia Maczey ,  Dawid Ziobro ,  Simon Hallstadius Linge ,  Marco Gaertler ,  Divyasheel Sharma ,  Chandrika K R ,  Gayathri Gopalakrishnan ,  Matthias Berning

IPC: G06Q10/0631

CPC classification number: G06Q10/063112 ,  G06Q10/06312

Abstract: A method for generating and/or augmenting an execution protocol for an SOP in an industrial plant includes providing at least one SOP of the plant, which includes a plurality of steps; providing measurement data; for each step of the SOP, determining from the measurement data a subset of the measurement data that is indicative of actions performed for the purpose of executing this particular step of the SOP; and aggregating the subset of the measurement data determined for each step of the SOP into at least one instruction for executing this particular step of the SOP, wherein this instruction is part of the sought protocol.