Structured modeling of heterogeneous CAM model based on process knowledge graph

With the rapid development of customized production and globalization, a vast number of heterogeneous CAM models are generated and stored in enterprises, which contain lots of experts' knowledge and experience. Sharing and reusing these models is a favorable method to improve the NC process planning efficiency, and the structuralized representation of these heterogeneous CAM models is the precondition. In this paper, a structured heterogeneous CAM models based on process knowledge graph is presented. Firstly, the multilevel and multifactor process knowledge graph is constructed, which describes the CAD models and NC processes in a unified way to guide the data mapping and exchange. Then, the CAM system ontology is established to organize the inherent concepts/terms of heterogeneous CAM systems accurately and consistently. And the concept/semantic match between ontology model and process knowledge graph is achieved through the multistrategy ontology mapping. Finally, the implicit semantics is obtained through rule-based reasoning and the precision of match results is checked, which enriches and guarantees the unity of the process knowledge graph. A prototype system has been developed to verify the effectiveness of the proposed approach.