公开(公告)号：US20230281734A1

公开(公告)日：2023-09-07

申请号：US18316335

申请日：2023-05-12

Applicant: ABB Schweiz AG

Inventor： Georg Gutermuth ,  Felix Lenders

IPC: G06Q50/06 ,  H02J3/14

CPC classification number: G06Q50/06 ,  H02J3/14 ,  H02J2203/10 ,  H02J2310/52 ,  H02J2310/64

Abstract: A computer-implemented method for determining a mitigated peak power exchange value for power exchange between a supplier and a facility includes receiving a timeseries comprising power exchange values for power exchange between the supplier and the facility over a predetermined time period; executing an optimization algorithm configured to determine a mitigated maximum power exchange value in the timeseries using data defining one or more peak shaving capabilities at the facility as variables; and outputting the determined mitigated maximum power exchange value.

公开(公告)号：US20230273585A1

公开(公告)日：2023-08-31

申请号：US18312938

申请日：2023-05-05

Applicant: ABB Schweiz AG

Inventor： Georg Gutermuth ,  Bernhard Primas ,  Felix Lenders

IPC: G05B19/042

CPC classification number: G05B19/042 ,  G05B2219/2639

Abstract: A system and method for synthesizing energy time-series data for a facility includes a time-series generator configured to receive an input set of attributes comprising attributes characterizing the facility, and to output a synthesized time-series representing estimated energy data for the facility. The synthesized time-series are generated on the basis of the input set of attributes and one or more reference time-series associated with respective reference sets of attributes.

公开(公告)号：US20230016668A1

公开(公告)日：2023-01-19

申请号：US17954485

申请日：2022-09-28

Applicant: ABB Schweiz AG

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

IPC: G05B13/02 ,  G06N3/08

Abstract: A method includes training a first control model by utilizing a first set of input data as first input, resulting in a trained first control model; copying the trained first control model to a second control model, wherein, after copying, the second input layer and the plurality of second hidden layers is identical to the plurality of first hidden layers, and the first output layer is replaced by the second output layer; freezing the plurality of second hidden layers; training the second control model by utilizing the first set of input data as second input, resulting in a trained second control model; and running the trained second control model by utilizing a second set of input data as second input, wherein the second output outputs the quality measure of the first control model.

公开(公告)号：US12001985B2

公开(公告)日：2024-06-04

申请号：US17507819

申请日：2021-10-22

Applicant: ABB Schweiz AG

Inventor： Martin Hollender ,  Felix Lenders ,  Josef Bicik ,  Mark Stefan Struempfler ,  Rebekka Litzelmann ,  Dominik Steickert

IPC: G06Q10/00 ,  G06Q10/0631

CPC classification number: G06Q10/06316

Abstract: A system for action determination includes an input unit, a processing unit, and an output unit. The input unit provides the processing unit with information relating to a plurality of past actions over a period of time associated with the operation of an industrial process. The input unit provides the processing unit with information relating to a plurality of past process events over the time period associated with the operation of the industrial process. The input unit provides the processing unit with information relating to a new process event. The processing unit determines a correlation between at least some of the plurality of past actions with at least some of the past process events. The processing unit determines at least one recommended action from the information relating to the new process event, the determination including utilization of the determined correlation. The output unit outputs the at least one recommended action.

公开(公告)号：US20240168462A1

公开(公告)日：2024-05-23

申请号：US18426512

申请日：2024-01-30

Applicant: ABB Schweiz AG

Inventor： Georg Gutermuth ,  Rüdiger Franke ,  Matthias Biskoping ,  Felix Lenders ,  Clemens Grindler

IPC: G05B19/4155

CPC classification number: G05B19/4155 ,  G05B2219/37591

Abstract: An electrolyzer plant comprising a plurality of electrolyzer modules includes a system having a processing unit that determines, for each of the plurality of electrolyzer modules, an electrolyzer module set point at which the electrolyzer module is to be operated, and controls operation of each of the plurality of electrolyzer modules at the respective electrolyzer module set point. The determining comprises inputting data representative of operation characteristics of each of the plurality of electrolyzer modules into the processing unit and the processing unit performing an optimization procedure that outputs the electrolyzer module set points, the optimization procedure comprising an optimization for one or more of overall electrolyzer plant efficiency, overall plant lifetime, lifetime of each of the electrolyzer modules, operational safety, and maintenance patterns.

公开(公告)号：US11567483B2

公开(公告)日：2023-01-31

申请号：US16850010

申请日：2020-04-16

Applicant: ABB Schweiz AG

Inventor： Benedikt Schmidt ,  Martin Hollender ,  Felix Lenders

IPC: G05B19/418

Abstract: A computer-implemented method to control technical equipment that performs a production batch-run of a production process, the technical equipment providing data in a form of time-series from a set of data sources, the data sources being related to the technical equipment, includes: accessing a reference time-series with data from a previously performed batch-run of the production process, the reference time-series being related to a parameter for the technical equipment; and while the technical equipment performs the production batch-run: receiving a production time-series with data, identifying a sub-series of the reference time-series, and comparing the received time-series and the sub-series of the reference time-series, to provide an indication of similarity or non-similarity, in case of similarity, controlling the technical equipment during a continuation of the production batch-run, by using the parameter as control parameter.

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.