公开(公告)号：US20240303208A1

公开(公告)日：2024-09-12

申请号：US18598067

申请日：2024-03-07

Applicant: ABB Schweiz AG

Inventor： Santonu Sarkar ,  Marie Christin Platenius-Mohr ,  Madapu Amarlingam ,  Jan Christoph Schlake ,  Reuben Borrison

IPC: G06F13/362

CPC classification number: G06F13/362

Abstract: A system and method for enabling an efficient data processing in a distributed network of devices includes collecting first data from at least one client device sent by at least one plant device via a first communication interface; storing the first data in a data storage; profiling the first data to obtain characteristic information of the collected first data; determining a data processing strategy upon a result of the characteristic information of the first data; processing the first data according to the data processing strategy and deciding which data of the first data need to be sent to the master device via a second communication interface.

公开(公告)号：US20240303175A1

公开(公告)日：2024-09-12

申请号：US18598034

申请日：2024-03-07

Applicant: ABB Schweiz AG

Inventor： Jan Christoph Schlake ,  Madapu Amarlingam ,  Marie Christin Platenius-Mohr ,  Santonu Sarkar ,  Reuben Borrison

IPC: G06F11/34

CPC classification number: G06F11/3409

Abstract: A method for system monitoring in a hierarchical network of distributed edge devices includes a master edge, first and second client edges connected via a first communication interface to the master edge, the method including receiving sensor data from a sensor device via a second communication interface, determining a first local model parameter representing a machine learning (ML) model of the at least first client edge based on the sensor data; storing the first local model parameter in a data storage of the at least first client edge; collecting the first local model parameter from the at least first client edge; and generating a global ML model based on the at least first local model parameter, wherein the global ML model is used for monitoring a system performance or a condition of the system.

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：US20230244218A1

公开(公告)日：2023-08-03

申请号：US18296614

申请日：2023-04-06

Applicant: ABB Schweiz AG

Inventor： Reuben Borrison ,  Julius Rueckert ,  Matthias Berning ,  Roland Braun

IPC: G05B19/418 ,  G06F40/20

CPC classification number: G05B19/41865 ,  G05B19/4185 ,  G06F40/20

Abstract: A system and method for providing a configuration for data extraction from an automation system includes a signal selection agent configured to: receive a user selection of at least one module of the automation system; generate, for display to the user, a user interface identifying one or more selectable signals associated with the selected module and displaying one or more guidance elements comprising data mined from data sources pertaining to the automation system for guiding the user in the selection of relevant signals; receive a user selection of one or more of the selectable signals; and automatically generate the configuration for data extraction on the basis of the selected signals.

公开(公告)号：US20220382234A1

公开(公告)日：2022-12-01

申请号：US17824624

申请日：2022-05-25

Applicant: ABB Schweiz AG

Inventor： Markus Aleksy ,  Reuben Borrison ,  Matthias Berning ,  Philipp Bauer ,  Patric Ackermann ,  Soeren Finster

IPC: G05B19/042 ,  G06F16/28 ,  G06F16/25

Abstract: A system for building data exchange includes an information modelling unit, which includes a digital twin model, a building information modelling, wherein the information modelling unit provides modelling data, an extractor configured to determine extraction data from an instance, an extractor configured to determine extraction data from an instance of the model using the modelling data, at least one converter engine, a compositor to populate the converted data into a converted instance, and a compositor to populate the converted data into a converted instance.