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：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.

公开(公告)号：US20250004464A1

公开(公告)日：2025-01-02

申请号：US18756100

申请日：2024-06-27

Applicant: ABB Schweiz AG

Inventor： Santonu Sarkar ,  Hadil Abukwaik ,  Reuben Borrison ,  Divyasheel Sharma ,  Marcel Dix ,  Chandrika K R ,  Deepti Maduskar ,  Marie Christin Platenius-Mohr ,  Benjamin Kloepper

IPC: G05B23/02 ,  G05B19/409

Abstract: There is provided an explainer system for explaining an alarm raised by a machine learned model of an industrial automation system. The explainer system is configured to: receive model output from the machine learned model trained to predict anomalous behaviour in the industrial automation system and to raise the alarm; process the model output using at least one prediction explanation technique to identify at least one influential feature which contributed to the model output; use the identified at least one influential feature to extract contextual information from at least one machine-readable information source pertaining to the industrial automation system; and prepare the extracted contextual information for display to an operator of the industrial automation system, to enable the operator to select an appropriate action to take in response to the alarm for ensuring proper functioning of the industrial automation system.

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.

公开(公告)号：US11860964B2

公开(公告)日：2024-01-02

申请号：US16923110

申请日：2020-07-08

Applicant: ABB Schweiz AG

Inventor： Andreas Burger ,  Heiko Koziolek ,  Sten Gruener ,  Johannes Schmitt ,  Marcel Dix

IPC: G06F16/9538 ,  G06F16/951

CPC classification number: G06F16/9538 ,  G06F16/951

Abstract: An industrial information identification and retrieval system includes: a crawler; a search engine; a result processor; and a web user interface “web UL” The crawler identifies devices and their associated Open Platform Communication Unified Architecture “OPC UA” servers within a network as identified OPC UA servers. The crawler browses the identified OPC UA servers and extracts and stores data items in a database as extracted data items. The search engine searches the extracted data items and provides search results to the result processor. The result processor determines a score for each search result. The web UI presents the search results according to the scores.

公开(公告)号：US11836636B2

公开(公告)日：2023-12-05

申请号：US16443914

申请日：2019-06-18

Applicant: ABB Schweiz AG

Inventor： Andrew Cohen ,  Marcel Dix

IPC: G05B19/4155 ,  G05B23/02 ,  G06N5/02 ,  G06N7/01

CPC classification number: G06N5/02 ,  G05B19/4155 ,  G05B23/0254 ,  G06N7/01 ,  G05B2219/33139

Abstract: Disclosed is a computer-implemented method for generating a prediction model. The model can be for use in processing machine event data to predict behavior of a plurality of industrial machines under supervision. The prediction model can be configured to determine current and future states of the industrial machines. The method can include: extracting event features from event codes and structuring the event features into feature vectors; and generating the prediction model by clustering the feature vectors into a plurality of vector clusters, the vector clusters being assigned to respective machine states. The prediction model can be constructed based on event data from a first industrial machine and be applied to control an operating state of a second industrial machine.

公开(公告)号：US20230251635A1

公开(公告)日：2023-08-10

申请号：US18300782

申请日：2023-04-14

Applicant: ABB Schweiz AG

Inventor： Sten Gruener ,  Mario Hoernicke ,  Katharina Stark ,  Roland Braun ,  Michael Vach ,  Nicolai Schoch ,  Marcel Dix

IPC: G05B19/418

CPC classification number: G05B19/41845 ,  G05B19/41885 ,  G05B2219/32097 ,  G05B2219/32124

Abstract: A method of integrating modules into a hybrid modular plant comprising a discrete manufacturing part and a continuous manufacturing part includes integrating the discrete part into the continuous part, comprising constructing at least one module definition file mapping one or more discrete-part units of the discrete part to a continuous-part module and importing the module definition file into an orchestration layer of the continuous part. Alternatively, the method comprises integrating the continuous part into the discrete part, comprising constructing one or more interfaces representing each continuous-part module as one or more respective discrete-part units.

公开(公告)号：US20230034769A1

公开(公告)日：2023-02-02

申请号：US17966012

申请日：2022-10-14

Applicant: ABB Schweiz AG

Inventor： Moncef Chioua ,  Marcel Dix ,  Benjamin Kloepper ,  Ioannis Lymperopoulos ,  Dennis Janka ,  Pablo Rodriguez

IPC: G05B13/02 ,  G05B23/02

Abstract: A method and computer program product including training a machine learning model by means of input data and score data, wherein the machine learning model is an artificial neural net, ANN; running the trained machine learning model by applying the first time-series to the trained machine learning model; and outputting, by the trained machine learning model, an output value, comprising at least a second criticality value of the at least one predicted observable process-value indicative of the abnormal behaviour of the industrial process in a predefined temporal distance.

公开(公告)号：US20230014857A1

公开(公告)日：2023-01-19

申请号：US17952987

申请日：2022-09-26

Applicant: ABB Schweiz AG

Inventor： Fan Dai ,  Nuo Li ,  Marcel Dix ,  Dongliang Cao

IPC: B25J9/16 ,  G06F3/0486 ,  G06F3/04815

Abstract: A system and method for programming a robot includes providing a 3D representation of workpieces to be handled by the robot, and of a working environment; synthesizing and displaying a view of the working environment comprising an image of the workpieces at respective initial positions; identifying matching features of the selected workpiece and of the working environment which are able to cooperate to hold the workpiece in a final position in the working environment, and a skill by which the matching features can be brought to cooperate; identifying an intermediate position from where applying the skill to the workpiece moves the workpiece to the final position; and adding to a motion program for the robot a routine for moving the workpiece from its initial position to the intermediate position and for applying the skill to the workpiece at the intermediate position.

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.