Research on automatic generation of assembly process based on graph embedding

Assembly of a complex product varies from variety to batch production mode, and the assembly process preparation of multi-model batches is extremely tedious, and the sharing and reuse of assembly process knowledge is poor, and the similar assembly process contents of different models are still repeatedly prepared. The structure of different models of the same series of products is similar, and the assembly process knowledge can be referred to or reused in the process design of the same series of products. In this paper, an assembly process knowledge reuse method is proposed, and an assembly process knowledge graph embedding model based on hierarchical attention network HAGAT is proposed. Nodes and edges in the assembly process knowledge graph are mapped to low-dimensional vector space, and the reusability of the existing assembly process is judged according to the similarity of the graph pairs between the new product and the existing product. Taking the assembly process design of a complex product as an example, the assembly process content of a new product is supplemented on the basis of the existing assembly process knowledge graph database, so as to realize the automatic reuse of assembly process knowledge. The experimental results show that the effectiveness and performance of the proposed method are superior to the existing methods, and it can effectively improve the efficiency of the product assembly process design.