MANAGEMENT PLATFORM FOR DIGITAL TWIN WORKSHOP FOR AUTOMATED ASSEMBLY OF CIRCUIT BREAKERS

    公开(公告)号:US20210132583A1

    公开(公告)日:2021-05-06

    申请号:US16992103

    申请日:2020-08-13

    Abstract: A management platform for a digital twin workshop for automated assembly of circuit breakers includes a physical workshop management unit, a twin virtual workshop management unit, a twin data center and a service management unit. The physical workshop management unit performs scene object analysis, sensor network configuration and operation response. The twin virtual workshop management unit builds a virtual geometric scene and controls data movement response. The twin data center stores twin data. The service management unit performs on-line communication and builds twin data while managing and monitoring the physical workshop management unit. The management platform implements intellectualized and visualized management of production factors, activity planning and production process of a physical workshop for automated assembly of circuit breakers, so as to achieve automation control, parameter visualization and real-time-state monitoring of the physical workshop.

    METHOD FOR PREDICTION OF DYNAMIC RESCHEDULING WITH DIGITAL TWIN WORKSHOP FOR CIRCUIT BREAKER AND SYSTEM USING THE SAME

    公开(公告)号:US20210334428A1

    公开(公告)日:2021-10-28

    申请号:US17015032

    申请日:2020-09-08

    Abstract: A method for prediction of dynamic rescheduling with a digital twin workshop for circuit breakers includes: building a circuit breaker digital manufacturing twin workshop system; determining a circuit breaker circuit breaker workshop dynamic rescheduling mathematical model that is based on rush order events, and performing prediction of information related to the rush order events on twin data of the circuit breaker digital manufacturing twin workshop system based on a prediction mechanism that relies on time window setting and order inquiry, and further updating the circuit breaker workshop dynamic rescheduling mathematical model with the predicted information related to the rush order events; and based on the updated circuit breaker workshop dynamic rescheduling mathematical model, developing a workshop dynamic rescheduling prediction model for multi-objective optimization focused on production efficiency and equipment energy consumption, and further finding an optimal solution to the workshop dynamic rescheduling prediction model using a multi-objective backtracking optimization algorithm, thereby obtaining a final dynamic rescheduling prediction scheme.

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