公开(公告)号：US20240069518A1

公开(公告)日：2024-02-29

申请号：US18259799

申请日：2020-12-30

Applicant: ABB Schweiz AG

Inventor： Prerna Juhlin ,  Arzam Muzaffar Kotriwala ,  Nuo Li ,  Jan-Christoph Schlake ,  Felix Lenders ,  Matthias Biskoping ,  Benjamin Kloepper ,  Kalpesh Bhalodi ,  Andreas Potschka ,  Dennis Janka

IPC: G05B19/406

CPC classification number: G05B19/406 ,  G05B2219/31449

Abstract: A method for monitoring a continuous industrial process is described. The industrial process includes a number of processing stations for processing material and a material flow between the number of processing stations. Each processing station dynamically provides data representing a state of the processing station. The method includes providing, for each processing station, a processing station layout of the processing station. The method further includes providing, for each processing station, an interface model of the processing station. The method further includes generating an information metamodel from the processing station layout and the interface model of the number of processing stations. The method further includes generating an adaptive simulation model of the industrial process by importing the data representing the state of the processing station provided by the number of processing stations into the adaptive simulation model via the information metamodel.

公开(公告)号：US20220121716A1

公开(公告)日：2022-04-21

申请号：US17502893

申请日：2021-10-15

Applicant: ABB Schweiz AG

Inventor： Somayeh Malakuti ,  Dirk Schulz ,  Johannes Schmitt ,  Sten Gruener ,  Ralf Gitzel ,  Prerna Juhlin

IPC: G06F16/953 ,  G06F16/955

Abstract: A method for automatically supplying or locating data over a communication network comprising: configuring a data source to provide source data over the communication network, the source data being identified by a data identifier in a domain of identifiers; receiving a machine-readable description, the machine-readable description specifying at least one predicate that must be satisfied by the data; labeling data identified by the data identifier with labels at least in part indicative of data predicates that hold true for the data identified by the data identifier or that are satisfiable for the data identified by the data identifier; searching for the data based at least in part on the machine-readable description and the labels; obtaining a solution satisfying the predicate based on the search; and supplying the solution over the communication network to a data consumer.

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：US20240168467A1

公开(公告)日：2024-05-23

申请号：US18549428

申请日：2021-03-12

Applicant: ABB Schweiz AG

Inventor： Arzam Kotriwala ,  Nuo Li ,  Jan-Christoph Schlake ,  Prerna Juhlin ,  Felix Lenders ,  Matthias Biskoping ,  Benjamin Kloepper ,  Kalpesh Bhalodi ,  Andreas Potschka ,  Dennis Janka

IPC: G05B19/418

CPC classification number: G05B19/41875 ,  G05B2219/32368

Abstract: A computer-implemented method is provided. The method includes receiving geological data of a material and processing data referring to a plurality of processing stations of an industrial process for manufacturing a product from the material; receiving, for the geological data and the processing data, corresponding product quality data of the manufactured product; and training or retraining a prediction model for the industrial process to determine predicted product quality data for the geological data and the processing data

公开(公告)号：US20210109506A1

公开(公告)日：2021-04-15

申请号：US17069878

申请日：2020-10-14

Applicant: ABB Schweiz AG

Inventor： Somayeh Malakuti ,  Prerna Juhlin ,  Sten Gruener ,  Johannes Schmitt

IPC: G05B19/416 ,  G05B19/4155

Abstract: A production line for manufacturing a building block, which includes at least one component, the production line including: a central conveyor line; at least one feeding line for feeding the at least one component to the central conveyor line; a manufacturing tool set for processing the at least one component; and a control unit for controlling the central conveyor line, the feeding line, and/or the manufacturing tool set. The controlling at least one of the central conveyor line, the feeding line, and/or the manufacturing tool set includes: retrieving an asset-information about the at least one component and/or the manufacturing tool set, conveying the at least one component according to the asset-information by the feeding line to the central conveyor line, retrieving a processing-information and/or a manufacturing tool set information about processing the at least one component, and processing the at least one component by the manufacturing tool set.

公开(公告)号：US12228918B2

公开(公告)日：2025-02-18

申请号：US17469908

申请日：2021-09-09

Applicant: ABB Schweiz AG

Inventor： Somayeh Malakuti ,  Johannes Schmitt ,  Prerna Juhlin

IPC: G06F16/25 ,  G05B19/045 ,  G05B19/048 ,  G05B19/418

Abstract: A computer system for interoperable data exchange between a plurality of information systems via a digital representation service associated with a digital representation of a physical device with each information system being at least one of an information source and an information consumer regarding data associated with the physical device, the digital representation being a virtual entity replicating data of the physical device and data associated with the device life cycle, includes: at least one digital representation service for the physical device, the at least one digital representation service having: an interface for receiving a request for device related data; a management module for generating and updating the digital representation of the device, the digital representation storing a plurality of data models with each stored data model being associated with a particular information system; and a semantic relations library storing semantic relations between model element types from stored data models.

公开(公告)号：US11971702B2

公开(公告)日：2024-04-30

申请号：US17069878

申请日：2020-10-14

Applicant: ABB Schweiz AG

Inventor： Somayeh Malakuti ,  Prerna Juhlin ,  Sten Gruener ,  Johannes Schmitt

IPC: G05B19/416 ,  G05B19/4155

CPC classification number: G05B19/4166 ,  G05B19/4155 ,  G05B2219/37574 ,  G05B2219/40554

Abstract: A production line for manufacturing a building block, which includes at least one component, the production line including: a central conveyor line; at least one feeding line for feeding the at least one component to the central conveyor line; a manufacturing tool set for processing the at least one component; and a control unit for controlling the central conveyor line, the feeding line, and/or the manufacturing tool set. The controlling at least one of the central conveyor line, the feeding line, and/or the manufacturing tool set includes: retrieving an asset-information about the at least one component and/or the manufacturing tool set, conveying the at least one component according to the asset-information by the feeding line to the central conveyor line, retrieving a processing-information and/or a manufacturing tool set information about processing the at least one component, and processing the at least one component by the manufacturing tool set.

公开(公告)号：US20210405629A1

公开(公告)日：2021-12-30

申请号：US17469908

申请日：2021-09-09

Applicant: ABB Schweiz AG

Inventor： Somayeh Malakuti ,  Johannes Schmitt ,  Prerna Juhlin

IPC: G05B19/418 ,  G05B19/045 ,  G05B19/048

Abstract: A computer system for interoperable data exchange between a plurality of information systems via a digital representation service associated with a digital representation of a physical device with each information system being at least one of an information source and an information consumer regarding data associated with the physical device, the digital representation being a virtual entity replicating data of the physical device and data associated with the device life cycle, includes: at least one digital representation service for the physical device, the at least one digital representation service having: an interface for receiving a request for device related data; a management module for generating and updating the digital representation of the device, the digital representation storing a plurality of data models with each stored data model being associated with a particular information system; and a semantic relations library storing semantic relations between model element types from stored data models.

公开(公告)号：US20240094715A1

公开(公告)日：2024-03-21

申请号：US18263371

申请日：2021-01-29

Applicant: ABB Schweiz AG

Inventor： Rickard Lindkvist ,  Jonas Linder ,  Kalpesh Bhalodi ,  Prerna Juhlin ,  Jan-Christoph Schlake ,  Dennis Janka ,  Andreas Potschka

IPC: G05B19/418

CPC classification number: G05B19/41865 ,  G05B2219/31376

Abstract: A method of material flow optimization in an industrial process by using an integrated optimizing system is described. The integrated optimizing system includes: a high-level optimizer module describing the material flow by coarse high-level process parameters and including an optimization program for the high-level process parameters, the optimization program being dependent on high-level model parameters and including an objective function subject to constraints; a low-level simulation module for simulating the material flow, the low-level simulation module including a low-level simulation function adapted for obtaining detailed low-level material flow data based on the high-level process parameters; and an aggregator module including an aggregator function adapted for calculating the high-level model parameters based on the low-level material flow data. The method includes approaching an optimum value of the objective function by iteratively modifying the high-level process parameters, wherein an iteration includes: carrying out, by the low-level simulation module, a low-level simulation thereby obtaining the detailed low-level material flow data; aggregating, by the aggregator module, the low-level material flow data thereby calculating, from the low-level material flow data, aggregated high-level model parameters; inputting the aggregated high-level model parameters into the optimization program.

公开(公告)号：US20240069526A1

公开(公告)日：2024-02-29

申请号：US18259665

申请日：2020-12-30

Applicant: ABB Schweiz AG

Inventor： Dennis Janka ,  Kalpesh Bhalodi ,  Prerna Juhlin ,  Andreas Potschka ,  Jan-Christoph Schlake

IPC: G05B19/4155

CPC classification number: G05B19/4155 ,  G05B2219/31449

Abstract: A method of industrial processing of a bulk material, the industrial processing including a plurality of process steps, the method including defining a material portion of the bulk material; generating a material portion identifier associated with the material portion processing the material portion in at least two process steps of the plurality of process steps the method including for each process step of the at least two process steps: determining a cost of processing the material portion in the process step; and generating a history data set, wherein the history data set is indicative of the cost, the process step and the material portion identifier and wherein the method further includes determining an aggregated cost based on the history data sets.