Model Construction of Material Distribution System Based on Digital Twin

Abstract

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.

An in-depth study of transformer fault diagnosis and prediction based on digital twin technology

“…The enterprise can take further actions and interventions on the ontology based on the information fed back by the twin. In the process of product development, digital twins can virtually build digital models of products, simulate them for testing and validation [2] The essence of determining the transformer fault category is an algorithmic process of nonlinearlycorresponding to the transformer fault mode category [5]. The PNN diagnostic model is shown in Figure 1.…”