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：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.

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.

公开(公告)号：US11099864B2

公开(公告)日：2021-08-24

申请号：US16830295

申请日：2020-03-26

Applicant: ABB Schweiz AG

Inventor： Heiko Koziolek ,  Michael Vach ,  Jens Doppelhamer

IPC: G06F3/048 ,  G06F9/451

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.