Aiming at the problem that assembly data of assembly products usually scattered in the CAD model and the assembly process document

thus different types of assembly semantics information cannot be interconnected due to the heterogeneity

a modeling method for assembly semantic information based on knowledge graph is proposed. Combing with traditional data mapping and natural language processing in artificial intelligence

the intelligent integration of geometric information from the CAD model and assembly process information from the document is realized. Firstly

the concepts

entity classes and relation classes representing different levels of semantic features in the knowledge graph-based assembly semantics model (KG–ASM) are described. Secondly

according to the CAD model file and assembly process document

the instance nodes of the KG–ASM are automatically constructed based on data extraction

semantics mapping and natural language processing techniques. Finally

the assembly process of the speed adjusting mechanism in aviation product as an example is given to verify the feasibility of the KG-ASM and its construction method.