公开(公告)号：US20230318957A1

公开(公告)日：2023-10-05

申请号：US18193821

申请日：2023-03-31

Applicant: ABB Schweiz AG

Inventor： Andreas Burger ,  Nicolas Coppik ,  Jens Heuschkel ,  Jens Doppelhamer

IPC: B60W50/02 ,  B60W60/00 ,  B60W10/20 ,  B60W10/18 ,  B60C23/04 ,  B60W50/14

CPC classification number: B60W50/0205 ,  B60W60/0011 ,  B60W50/0225 ,  B60W10/20 ,  B60W10/18 ,  B60C23/0484 ,  B60W50/14 ,  B60W2050/146 ,  B60W2520/00 ,  B60W50/038

Abstract: An edge utility management method includes receiving an application to be deployed on an edge device, wherein the application comprises a plurality of separately-deployable application parts; obtaining application profiles for one or more of the applications parts; obtaining hardware profiles for one or more hardware resources of the edge device; deploying the application parts to selected hardware resources based on the application profiles and the hardware profiles; and facilitating communication between the deployed application parts during execution of the application.

公开(公告)号：US20220036207A1

公开(公告)日：2022-02-03

申请号：US17505665

申请日：2021-10-20

Applicant: ABB Schweiz AG

Inventor： Pablo Rodriguez ,  Jens Doppelhamer ,  Katharina Stark ,  Prerna Juhlin

IPC: G06N5/02

Abstract: A computer-implemented method of training an artificial intelligence module for selecting at least one component of an industrial drive system and an apparatus that includes a correspondingly trained AI module are described. The method includes providing an initial training data set that includes a set of rules, where each rule is indicative of a selection decision for selecting at least one component of the industrial drive system based on at least one usage requirement for the industrial drive system. Further, a modified training data set is generated based on supplementing the initial training data set with at least one further selection decision for selecting the at least one component of the drive system based on at least one of simulation data, empiric data, and operational data. Further, the AI module is trained based on the modified training data set.

公开(公告)号：US20200310840A1

公开(公告)日：2020-10-01

申请号：US16830295

申请日：2020-03-26

Applicant: ABB Schweiz AG

Inventor： Heiko Koziolek ,  Michael Vach ,  Jens Doppelhamer

IPC: G06F9/451 ,  G06F3/048

Abstract: A method for auto-layouting graphic objects includes: receiving input data including input image data, library data, and screen parameter data as received input data; and analyzing the received input data and creating output image data based on reshaping of the input image data based on the library data and the screen parameter data, the output image data being optimized for a specific screen defined by the screen parameter data.

公开(公告)号：US20240302832A1

公开(公告)日：2024-09-12

申请号：US18668370

申请日：2024-05-20

Applicant: ABB Schweiz AG

Inventor： Hadil Abukwaik ,  Divyasheel Sharma ,  Benjamin Kloepper ,  Arzam Muzaffar Kotriwala ,  Pablo Rodriguez ,  Benedikt Schmidt ,  Ruomu Tan ,  Chandrika K R ,  Reuben Borrison ,  Marcel Dix ,  Jens Doppelhamer

IPC: G05B23/02

CPC classification number: G05B23/0254 ,  G05B23/027 ,  G05B23/0286

Abstract: A method for training a prediction model includes obtaining training samples representing states of the process that do not cause the undesired event; obtaining based on a process model and a set of predetermined rules that stipulate states having an increased likelihood of the undesired event occurring; training samples representing states with an increased likelihood to cause the undesired event; providing samples to the to-be-trained prediction model to obtain a prediction of the likelihood for occurrence of the undesired event in a state of the process represented by the respective sample; rating a difference between the prediction and the label of the respective sample using a predetermined loss function; and optimizing parameters such that, when predictions are made, the rating by the loss function improves.

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.

公开(公告)号：US20220342382A1

公开(公告)日：2022-10-27

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

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：US20240302831A1

公开(公告)日：2024-09-12

申请号：US18669696

申请日：2024-05-21

Applicant: ABB Schweiz AG

Inventor： Hadil Abukwaik ,  Divyasheel Sharma ,  Benjamin Kloepper ,  Arzam Muzaffar Kotriwala ,  Pablo Rodriguez ,  Benedikt Schmidt ,  Ruomu Tan ,  Chandrika K R ,  Reuben Borrison ,  Marcel Dix ,  Jens Doppelhamer

IPC: G05B23/02

CPC classification number: G05B23/024 ,  G05B23/0251

Abstract: A method for determining the state of health of an industrial process executed by at least one industrial plant comprising an arrangement of entities, and the state of each such entity, includes obtaining values of the entity state variables; providing the values to a model to obtain a prediction of the state of health; determining propagation paths for anomalies between said entities; determining importances of the states of health of the individual entities for the overall state of health of the process; and aggregating the individual states of health of the entities to obtain the overall state of health of the process.

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

IPC: G05B13/02 ,  G05B23/02

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.

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：US11675487B2

公开(公告)日：2023-06-13

申请号：US16830301

申请日：2020-03-26

Applicant: ABB Schweiz AG

Inventor： Heiko Koziolek ,  Michael Vach ,  Jens Doppelhamer

IPC: G06F3/048 ,  G06F3/04845 ,  G05B19/418 ,  G06T11/20

CPC classification number: G06F3/04845 ,  G05B19/4183 ,  G06T11/206 ,  G05B2219/31472

Abstract: A method for an automatic generation of industrial process graphics includes: receiving engineering data, device data, and sensor data of an industrial plant having a plurality of field devices, the engineering data, device data, and sensor data being assigned to a single or multiple field devices; extracting field device information for each field device of a plurality of the field devices from the assigned engineering data, device data, and sensor data; and generating a plurality of process graphics for each field device of the plurality of the field devices. The plurality of process graphics for each field device covers a plurality of different abstraction levels of the industrial plant.