Abstract: A digital-twin modeling method for an automated testing pipeline for circuit breakers involves acquiring a three-dimensional digitalized model of each mechanical installation in the testing pipeline; modeling hierarchy according to an actual production process and motion states; performing mesh optimization on the resulting model; designing movements of each said mechanical installation, so as to obtain mechanical movement tracks of the models; combining actual movement logic and cooperative relationship among the movements to edit the mechanical movement tracks of the models; and introducing motion control, so as to conduct motion simulation in a digital-twin scene, thereby implementing virtual movements synchronous with movements of the actual testing pipeline.

Abstract: The present disclosure provides a leakage measurement error compensation method based on cloud-edge collaborative computing, implemented on a communication network formed by interconnection between a leakage current edge monitoring terminal and a power consumption management cloud platform, and including the following steps: monitoring, by the leakage current edge monitoring terminal, leakage current data, and sending the leakage current data to the power consumption management cloud platform; iteratively training, by the power consumption management cloud platform, a pseudo-leakage compensation model by using the received leakage current data, continuously updating pseudo-leakage model parameters, and feeding the pseudo-leakage model parameters back to the leakage current edge monitoring terminal; and processing, by the leakage current edge monitoring terminal, the leakage current data according to the pseudo-leakage compensation model parameters, so as to eliminate the influence of a pseudo-leakage phenomen

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 resch

Abstract: A digital-twin modeling method for an automated testing pipeline for circuit breakers involves acquiring a three-dimensional digitalized model of each mechanical installation in the testing pipeline; modeling hierarchy according to an actual production process and motion states; performing mesh optimization on the resulting model; designing movements of each said mechanical installation, so as to obtain mechanical movement tracks of the models; combining actual movement logic and cooperative relationship among the movements to edit the mechanical movement tracks of the models; and introducing motion control, so as to conduct motion simulation in a digital-twin scene, thereby implementing virtual movements synchronous with movements of the actual testing pipeline.

Abstract: An configuration-based optimization method for automated assembly and production of circuit breakers includes ascertaining names, serial numbers, operating times, costs and maximum parallelism levels of all operation elements, and, based on structural principles and process requirements of the circuit breakers, analyzing the names, serial numbers and operating times of the operation elements, so as to identify assembly precedence and process connection among the operation elements; according to the costs and the maximum parallelism levels of the operation elements, optimizing and adjusting process parallelism levels of the operation elements and their corresponding shunt or confluent unit costs, and taking the assembly precedence, process connection and the optimized and adjusted process maximum parallelism as constraint conditions, with the aim to minimize the assembly line takt time and costs, to build a multi-objective optimization problem; and finding optimal solutions of the multi-objective optimization