Method for prediction of dynamic rescheduling with digital twin workshop for circuit breaker and system using the same

A system for prediction of dynamic rescheduling with a digital twin workshop for circuit breakers, the system comprising a workshop system building unit, a mathematical model developing and updating unit, and a dynamic rescheduling scheme solution-finding unit,

• the workshop system building unit, serving to perform multi-granularity mapping, movement control and scene optimization on a circuit breaker workshop, and building a circuit breaker digital manufacturing twin workshop system;
• the mathematical model developing and updating unit, serving to determine a circuit breaker workshop dynamic rescheduling mathematical model based on rush order events, to predict times and contents of the rush order events according to real-time twin data provided by the circuit breaker digital manufacturing twin workshop system based on a prediction mechanism that relies on time window setting and order inquiry, and to further update the circuit breaker workshop dynamic rescheduling mathematical model according to the predicted times and contents of the rush order events;
• and
• the dynamic rescheduling scheme solution-finding unit, serving to efficiently find a solution to the circuit breaker workshop dynamic rescheduling mathematical model in a distributed computing platform based on the updated circuit breaker workshop dynamic rescheduling mathematical model, using a multi-objective backtracking optimization algorithm, together with a random key encoding and plug-in decoding method, thereby obtaining an optimal dynamic rescheduling prediction scheme.