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    METHOD OF CONTROLLING A COMPRESSOR SYSTEM DURING VOLTAGE DIPS
    1.
    发明申请
    METHOD OF CONTROLLING A COMPRESSOR SYSTEM DURING VOLTAGE DIPS 审中-公开
    电压DIPS期间压缩机系统的控制方法

    公开(公告)号：WO2016207165A1

    公开(公告)日：2016-12-29

    申请号：PCT/EP2016/064318

    申请日：2016-06-21

    Applicant: ABB SCHWEIZ AG

    Inventor： CORTINOVIS, Andrea ,  MERCANGOEZ, Mehmet ,  PIEDER, Joerg ,  VAN DE MOORTEL, Sture ,  BESSELMANN, Thomas

    IPC: H02P27/06 ,  F04D27/00 ,  H02H7/08

    CPC classification number: H02P27/06 ,  F04D27/001 ,  F04D27/0261 ,  F05D2260/821 ,  F05D2270/3061 ,  H02H7/08

    Abstract: A method of controlling a compressor system (10) comprises a gas compressor (32) and an electrical variable-speed drive (30) supplied by an electrical grid (36) and driving the gas compressor (32). A method of controlling the compressor system (10) comprises: detecting a voltage dip (12) in a grid voltage (V) supplied to the electrical drive (30) by comparing the grid voltage (V) with a voltage dip threshold; in the case, a voltage dip (12) is detected: assuming a future development (72) of the grid voltage (V); predicting a future development (84) of at least one process quantity (q) based on at least one process parameter (86) measured in the compressor system (10) and the assumption of the future development (72) of the grid voltage (V); providing the predicted future development (84) of the least one process quantity (q) to a protection system (88). The assumed future development (72) of the grid voltage (V) is based on a predefined depth and a predefined length of an average voltage dip, the predefined depth and the predefined length of the average voltage dip are determined online from a set of historical voltage dip cases, and the assumed future development (72) of the grid voltage (V) is based on an assumption of a persistence of the actual measured voltage.

    Abstract translation: 控制压缩机系统（10）的方法包括由电网（36）提供并驱动气体压缩机（32）的气体压缩机（32）和电动变速驱动器（30）。 控制压缩机系统（10）的方法包括：通过将电网电压（V）与电压骤降阈值进行比较来检测供给电驱动器（30）的电网电压（V） 在这种情况下，检测到电压骤降（12）：假定电网电压（V）的未来发展（72）; 基于在压缩机系统（10）中测量的至少一个过程参数（86）和电网电压（V）的未来发展（72）的假设来预测至少一个过程量（q）的未来发展（84） ）; 将至少一个处理量（q）的预测未来发展（84）提供给保护系统（88）。 电网电压（V）的假定的未来开发（72）基于预定义的深度和平均电压下降的预定长度，预定深度和平均电压下降的预定长度在线从一组历史 电压跌落情况下，电网电压（V）的假设未来发展（72）基于实际测量电压持续的假设。

    FARM ENERGY MANAGEMENT
    2.
    发明申请
    FARM ENERGY MANAGEMENT 审中-公开
    农民能源管理

    公开(公告)号：WO2016202904A1

    公开(公告)日：2016-12-22

    申请号：PCT/EP2016/063835

    申请日：2016-06-16

    Applicant: ABB SCHWEIZ AG

    Inventor： CÉLINE, Mahieux ,  HEMRLE, Jaroslav ,  MERCANGOEZ, Mehmet

    IPC: G05B15/02 ,  G05B13/02

    CPC classification number: G05B15/02 ,  G05B13/021

    Abstract: The present invention is concerned with energy management of a remote farm or rural agricultural community with no or limited access to a main electrical grid. According to the invention, an innovative use of a multi-grid system for the provision of electricity, water, and thermal energy for heating and cooling needs is proposed for farms and farming communities. The existence of at least one continual stream or flow of material in a network different from but interacting with an electrical microgrid is exploited in view of a flexible storage of energy beyond a conventional perimeter of the microgrid and without reconversion of the stored energy into electrical energy. Optimal operation of the microgrid may then be achieved by scheduling or planning electrical power generation within the farm in conjunction with farming related loads that likewise represent a time-wise degree of freedom.

    Abstract translation: 本发明涉及远程农场或农村农村的能量管理，没有或有限的访问主电网。 根据本发明，为农场和农业社区提出了一种用于提供用于供暖和制冷需求的电力，水和热能的多电网系统的创新使用。 考虑到能量的灵活存储超过微电网的常规周界，并且不将存储的能量重新转换成电能，所以利用了与电微型电网不同但与电微型电网相互作用的至少一种连续流或材料流的存在 。 然后可以通过在农场内安排或规划电力发电以及同样代表时间上自由度的农业相关负载来实现微电网的最佳操作。

    HIGH AVAILABILITY COMPRESSOR FOR A GAS COMPRESSION SYSTEM
    3.
    发明申请
    HIGH AVAILABILITY COMPRESSOR FOR A GAS COMPRESSION SYSTEM 审中-公开
    用于气体压缩系统的高可用性压缩机

    公开(公告)号：WO2017059897A1

    公开(公告)日：2017-04-13

    申请号：PCT/EP2015/073127

    申请日：2015-10-07

    Applicant: ABB SCHWEIZ AG

    Inventor： CORTINOVIS, Andrea ,  LEWANDOWSKI, Daniel ,  MERCANGOEZ, Mehmet ,  LIPNICKI, Piotr

    IPC: F04D27/00 ,  F04D27/02 ,  G05B17/02

    CPC classification number: F04D27/001 ,  F04D27/02

    Abstract: A method is disclosed for controlling at least one compressor (13) in a gas compression system (60), the compressor being driven by an electric motor (3) powered by a drive (2). The method further comprises obtaining measurements of one or more process variables (21) for the compressor and/or compression system from sensors mounted in the compressor or the gas compression system and obtaining a value of at least one electrical parameter (31) from the drive (2) and/or the electric motor (3). Further an estimation (35) of at least one process variable is calculated and compared with a measurement of the process variable ( q ). The measurement is then either validated or else replaced with the estimated value ( q est ) of the process variable. A computer program for carrying out the method and a compressor and compression systems employing the method are also disclosed.

    Abstract translation: 公开了一种用于控制气体压缩系统（60）中的至少一个压缩机（13）的方法，所述压缩机由由驱动器（2）供电的电动机（3）驱动。 该方法还包括从安装在压缩机或气体压缩系统中的传感器获得用于压缩机和/或压缩系统的一个或多个过程变量（21）的测量值，并从驱动器获得至少一个电参数（31）的值 （2）和/或电动机（3）。 此外，计算至少一个过程变量的估计（35）并将其与过程变量（q）的测量值进行比较。 然后测量将被验证，或者替换为过程变量的估计值（q est）。 还公开了一种用于实施该方法的计算机程序和采用该方法的压缩机和压缩系统。

    PREDICTIONS FOR A PROCESS IN AN INDUSTRIAL PLANT
    4.
    发明申请
    PREDICTIONS FOR A PROCESS IN AN INDUSTRIAL PLANT 审中-公开

    公开(公告)号：WO2020120115A1

    公开(公告)日：2020-06-18

    申请号：PCT/EP2019/082405

    申请日：2019-11-25

    Applicant: ABB SCHWEIZ AG

    Inventor： MERCANGOEZ, Mehmet ,  CORTINOVIS, Andrea

    IPC: G05B13/04 ,  G05B17/02

    Abstract: To generate real-time or at least near real-time predictions for a process in an industrial plant, a set of neural networks are trained to create a set of trained models. The set of trained models is then used to output the predictions, by inputting online measurement results in an original space to two trained models whose outputs are fed, as reduced space inputs and reduced space initial states, to a third trained model. The third trained model processes the reduced space inputs to reduced space predictions. They are fed to a fourth trained model, which outputs the predictions in the original space.

    SUPERVISORY MACHINE INTELLIGENCE CONTROLS FOR PRODUCTION OF MEAT SUBSTITUTES
    5.
    发明申请
    SUPERVISORY MACHINE INTELLIGENCE CONTROLS FOR PRODUCTION OF MEAT SUBSTITUTES 审中-公开

    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

    Inventor： HO, Chau-Hon ,  SPUDIC, Vedrana ,  LISTMANN, Kim ,  SCHOENBORN, Sandro ,  BORRELLI, Elsi-Mari ,  SOMMER, Philipp ,  MERCANGOEZ, Mehmet

    IPC: A23J3/26 ,  A23P30/20 ,  B29C48/92

    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.

    COMPRESSOR CONTROL DURING POWER SUPPLY SYSTEM DISTURBANCES
    9.
    发明公开
    COMPRESSOR CONTROL DURING POWER SUPPLY SYSTEM DISTURBANCES 审中-公开

    公开(公告)号：EP3339653A1

    公开(公告)日：2018-06-27

    申请号：EP16205629.5

    申请日：2016-12-21

    Applicant: ABB Schweiz AG

    Inventor： BESSELMANN, Thomas ,  CORTINOVIS, Andrea ,  MERCANGOEZ, Mehmet

    IPC: F04D25/16 ,  F04D27/02

    CPC classification number: F04D25/16 ,  F04D27/0261 ,  F04D27/0269 ,  F05D2270/09 ,  F05D2270/101 ,  F05D2270/335

    Abstract: The invention is related to a control arrangement for controlling a group of compressors (13A, 13B, 13C) in a compressor station (10), powered by an electrical power supply system (1), in case of disturbances in the electrical power supply system, each compressor being run by an electrical variable speed drive (23A, 23B, 23C) providing a drive torque for the compressor, the control arrangement comprising a main control unit (24) operable to determine a total available power for the variable speed drives during a disturbance in the electrical power supply system and select a number of drive torques for operating at least some of the compressors during the disturbance, where the power used for obtaining the selected drive torques is within the total available power.

    SUPERVISORY MACHINE INTELLIGENCE CONTROLS FOR PRODUCTION OF MEAT SUBSTITUTES
    10.
    发明公开
    SUPERVISORY MACHINE INTELLIGENCE CONTROLS FOR PRODUCTION OF MEAT SUBSTITUTES 审中-公开

    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

    Inventor： HO, Chau-Hon ,  SPUDIC, Vedrana ,  LISTMANN, Kim ,  SCHOENBORN, Sandro ,  BORRELLI, Elsi-Mari ,  SOMMER, Philipp ,  MERCANGOEZ, Mehmet

    IPC: A23J3/26 ,  A23P30/20 ,  B29C48/92

    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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