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.

公开(公告)号：US11774941B2

公开(公告)日：2023-10-03

申请号：US17725490

申请日：2022-04-20

Applicant: ABB Schweiz AG

Inventor： Hadil Abukwaik ,  Jens Doppelhamer ,  Marcel Dix ,  Benjamin Kloepper ,  Pablo Rodriguez

IPC: G05B19/4065

CPC classification number: G05B19/4065 ,  G05B2219/31057

Abstract: A system and method provides an impact list of affecting equipment elements that affect an industrial sub-process. The method comprises the steps of selecting, in a topology model, the sub-process, wherein the sub-process is an equipment element that is a part of an industrial plant or process, and wherein the topology model is a graph, whose nodes represent equipment elements and whose edges represent interconnections between the equipment elements; traversing the nodes of the topology model, wherein the traversing starts from the selected sub-process and uses a traversing strategy; and for each of the at least one equipment elements, if the equipment element affects the industrial sub-process by an affecting degree greater than a first predefined affecting degree, adding the equipment element to the impact list of affecting equipment elements.

公开(公告)号：US11669081B2

公开(公告)日：2023-06-06

申请号：US16996928

申请日：2020-08-19

Applicant: ABB Schweiz AG

Inventor： Marcel Dix ,  Boris Fiedler ,  Benjamin Kloepper

IPC: G05B23/02

CPC classification number: G05B23/0235 ,  G05B23/027 ,  G05B23/0229

Abstract: A data processing device capable of performing problem diagnosis in a production system with a plurality of robots includes: a first time series obtaining part for obtaining historical event data used for determining some historical alarm indicator in time series and storing the historical event data as first time series data; a historic alarm indicator calculation part for calculating a series of historic alarm indicators using statistic characteristics of the first time series data; a threshold definition part for defining at least one threshold value based on a statistical distribution of the historical alarm indicators; a second time series obtaining part for obtaining operational event data during operation of the robots used for determining some operational alarm indicator in time series and storing the operational event data as second time series data; and an operational alarm indicator calculation part for calculating a series of operational alarm indicators.

公开(公告)号：US20230074570A1

公开(公告)日：2023-03-09

申请号：US17899856

申请日：2022-08-31

Applicant: ABB Schweiz AG

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

IPC: G05B23/02

Abstract: An industrial plant operator intervention system for use in an industrial plant includes a processing unit configured to monitor and analyze industrial plant operation data to detect an anomaly in the industrial plant operation data that warrants initiating an operator intervention, and in response to detecting the anomaly, automatically determine a user interface configuration of a user interface to be presented to a designated operator who is to perform the operator intervention. The user interface configuration is determined on the basis of technical context data, including industrial plant operation data associated with the anomaly, and on the basis of operator data pertaining to the designated operator, in such a manner that an anomaly-related and operator-specific user interface configuration is obtained.

公开(公告)号：US20230029400A1

公开(公告)日：2023-01-26

申请号：US17957609

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: G06N20/00

Abstract: A method of hierarchical machine learning includes receiving a topology model having information on hierarchical relations between components of the industrial plant, determining a representation hierarchy comprising a plurality of levels, wherein each representation on a higher level represents a group of representations on a lower level, wherein the representations comprise a machine learning model, and training an output machine learning model using the determined hierarchical representations.

公开(公告)号：US20230019404A1

公开(公告)日：2023-01-19

申请号：US17956117

申请日：2022-09-29

Applicant: ABB Schweiz AG

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

IPC: G06N20/20

Abstract: A computer-implemented method for automating the development of industrial machine learning applications includes one or more sub-methods that, depending on the industrial machine learning problem, may be executed iteratively. These sub-methods include at least one of a method to automate the data cleaning in training and later application of machine learning models, a method to label time series (in particular signal data) with help of other timestamp records, feature engineering with the help of process mining, and automated hyper-parameter tuning for data segmentation and classification.

公开(公告)号：US20210034047A1

公开(公告)日：2021-02-04

申请号：US16996928

申请日：2020-08-19

Applicant: ABB Schweiz AG

Inventor： Marcel Dix ,  Boris Fiedler ,  Benjamin Kloepper

IPC: G05B23/02 ,  G06N20/00

Abstract: A data processing device capable of performing problem diagnosis in a production system with a plurality of robots includes: a first time series obtaining part for obtaining historical event data used for determining some historical alarm indicator in time series and storing the historical event data as first time series data; a historic alarm indicator calculation part for calculating a series of historic alarm indicators using statistic characteristics of the first time series data; a threshold definition part for defining at least one threshold value based on a statistical distribution of the historical alarm indicators; a second time series obtaining part for obtaining operational event data during operation of the robots used for determining some operational alarm indicator in time series and storing the operational event data as second time series data; and an operational alarm indicator calculation part for calculating a series of operational alarm indicators.