Aiming at the problems of poor periodicity of workshop material distribution, difficult prediction of station material demand time node and redundant distribution route, this paper proposes a model construction method of material distribution system based on digital twin. Build a material distribution control mode based on digital twin, and establish a full cycle material distribution mechanism on this basis to comprehensively optimize the distribution cycle from the material preparation stage, dynamic replenishment stage and data transmission stage of adjacent distribution cycles. Build the digital twin model of material distribution system, establish the material demand time node prediction operation mechanism based on LSTM, accurately predict the station material demand time node, establish the material distribution route optimization model with the lowest total cost, and optimize the AGV route. Finally, it is applied to the asynchronous card line workshop of A enterprise to verify the effectiveness of this method.

Aiming at the problems of poor periodicity of workshop material distribution, difficult prediction of station material demand time node and redundant distribution route, this paper proposes a model construction method of material distribution system based on digital twin. Build a material distribution control mode based on digital twin, and establish a full cycle material distribution mechanism on this basis to comprehensively optimize the distribution cycle from the material preparation stage, dynamic replenishment stage and data transmission stage of adjacent distribution cycles. Build the digital twin model of material distribution system, establish the material demand time node prediction operation mechanism based on LSTM, accurately predict the station material demand time node, establish the material distribution route optimization model with the lowest total cost, and optimize the AGV route. Finally, it is applied to the asynchronous card line workshop of A enterprise to verify the effectiveness of this method.