Intelligent Construction Method of Virtual Assembly Lines for Products Based on Assembly Semantics and Graph Neural Networks
With the rapid development of intelligent manufacturing technology,digital factory methods are increasingly used in production system planning and design.Constructing virtual assembly lines or digital twins of assembly lines has become a key link in realizing the digital planning and design of assembly lines.However,traditional design methods mainly rely on three-dimensional models and manual experience,which suffer from issues such as inefficiency,long design cycle,and difficulties in optimization.To overcome the above challenges,this paper proposes a method for intelligent construction of product virtual assembly line based on product assembly semantics and graph neural networks in the context of product assembly line design.To verify the feasibility and effectiveness of the proposed method,a case study was conducted on the construction of a virtual assembly line for a certain hydraulic cylinder.The results indicate that the method can significantly improve the efficiency of assembly line design,shorten the design cycle,and achieve intelligent optimization of the assembly line layout.
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