METHOD AND SYSTEM FOR TRAINING A ROBOT
    1.
    发明申请

    公开(公告)号:WO2022043083A1

    公开(公告)日:2022-03-03

    申请号:PCT/EP2021/072506

    申请日:2021-08-12

    Applicant: ABB SCHWEIZ AG

    Abstract: A method and system are provided for training a robot to recognize objects in the workspace of the robot. Objects in the workspace are identified by the user, and the robot determines candidate objects. Feedback may be used in order for the user to confirm whether the candidate object determined by the robot system matches the object intended by the user. Gripping information for the object may also be identified by the user to train the robot how to grip the object.

    SUPERVISORY MACHINE INTELLIGENCE CONTROLS FOR PRODUCTION OF MEAT SUBSTITUTES

    公开(公告)号:WO2022012879A1

    公开(公告)日:2022-01-20

    申请号:PCT/EP2021/066987

    申请日:2021-06-22

    Applicant: ABB SCHWEIZ AG

    Abstract: A system includes a wet extrusion process machine configured to receive, mix, and convey a plurality of ingredients to an extrusion die, the plurality of ingredients include a protein powder, an oil, and water. The system includes an electronic process control system (EPCS) configured to control the wet extrusion machine using a plurality of process settings effective to produce an extrusion die mixture which is forced into, passes through, and is output from the extrusion die. The system further comprises a supervisory machine intelligence control system (SMICS) operatively coupled with at least one of a direct fibrosity measurement (DFM) subsystem configured to directly measure one or more physical fibrosity parameters of the extrusion die mixture, and an indirect fibrosity measurement (IFM) subsystem configured to measure one or more extrusion process parameters associated with the extrusion die mixture. The SMICS is configured to modify one or more of the plurality process settings in response to at least one of the one or more physical fibrosity parameters, and the one or more extrusion process parameters, effective to modify the extrusion die mixture.

    METHOD AND SYSTEM FOR TRAINING A ROBOT
    6.
    发明公开

    公开(公告)号:EP3960395A1

    公开(公告)日:2022-03-02

    申请号:EP20192468.5

    申请日:2020-08-24

    Applicant: ABB Schweiz AG

    Abstract: A method and system are provided for training a robot to recognize objects in the workspace of the robot. Objects in the workspace are identified by the user, and the robot determines candidate objects. Feedback may be used in order for the user to confirm whether the candidate object determined by the robot system matches the object intended by the user. Gripping information for the object may also be identified by the user to train the robot how to grip the object.

    LICENSABLE SUBSTATION CONFIGURATION PARAMETERS

    公开(公告)号:EP4432138A1

    公开(公告)日:2024-09-18

    申请号:EP23162676.3

    申请日:2023-03-17

    Applicant: ABB Schweiz AG

    CPC classification number: G06F21/10 G06Q50/06 H04L9/3247

    Abstract: This disclosure provides a substation (10) having a virtualized relay (200) for operating the substation (10) with a set of actual configuration parameters (210), and a licensing module (300) being configured for: verifying a consistency between the set of actual configuration parameters (210) and a set of licensed configuration parameters (310), blocking operation of the virtualized relay (200) with the set of actual configuration parameters; and releasing operation of the virtualized relay (200) with the set of actual configuration parameters upon successful verification of the consistency. Further, this disclosure provides a method for operating a substation and the use of a licensing module according to the disclosure in a substation.

    CONTROL METHOD, AND CONTROL SYSTEM FOR A SUBSTATION

    公开(公告)号:EP4277082A1

    公开(公告)日:2023-11-15

    申请号:EP22173037.7

    申请日:2022-05-12

    Applicant: ABB SCHWEIZ AG

    Abstract: A technique for a control method (100) and a control system in a substation is provided. The control system comprises a substation feeder (30), an intelligent electronic device, IED, (36), a merging unit (34), and BUS network (38a, 38b) connecting the IED (36) and the merging unit (34). The control method comprises providing (10) measurement signals by the substation feeder (30) to the merging unit (34); transmitting (12), by the merging unit (34), measurement data based on the measurement signals of the substation feeder to the IED (36) via the BUS network (38a, 38b); identifying (14), by the IED (36), a fault condition based on the measurement data, the fault condition being indicative of a potentially forthcoming fault; transmitting (16), by the IED (36), a conditional control command to the merging unit (34) via the BUS network (38a, 38b), the conditional control command comprising a control measure and a condition for executing the control measure; determining (18), by the merging unit, whether the condition of the conditional control command is met, and if so initiating (20), by the merging unit, the control measure of the substation feeder circuit.

    SUPERVISORY MACHINE INTELLIGENCE CONTROLS FOR PRODUCTION OF MEAT SUBSTITUTES

    公开(公告)号:EP3939436A1

    公开(公告)日:2022-01-19

    申请号:EP20186396.6

    申请日:2020-07-17

    Applicant: ABB Schweiz AG

    Abstract: A system includes a wet extrusion process machine configured to receive, mix, and convey a plurality of ingredients to an extrusion die, the plurality of ingredients include a protein powder, an oil, and water. The system includes an electronic process control system (EPCS) configured to control the wet extrusion machine using a plurality of process settings effective to produce an extrusion die mixture which is forced into, passes through, and is output from the extrusion die. The system further comprises a supervisory machine intelligence control system (SMICS) operatively coupled with at least one of a direct fibrosity measurement (DFM) subsystem configured to directly measure one or more physical fibrosity parameters of the extrusion die mixture, and an indirect fibrosity measurement (IFM) subsystem configured to measure one or more extrusion process parameters associated with the extrusion die mixture. The SMICS is configured to modify one or more of the plurality process settings in response to at least one of the one or more physical fibrosity parameters, and the one or more extrusion process parameters, effective to modify the extrusion die mixture.

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