Research on Knowledge Management for Product Assembly Process Based on Semantic

In response to the issues caused by unclear knowledge expression during assembly process, an in-depth analysis was conducted on the sources and domain characteristics of fuze assembly process knowledge. Based on this analysis, the assembly process knowledge was categorized using ontology according to its characteristics. Attributes, relationships, and instances were extracted for the domain knowledge of fuze assembly processes, making thorough preparations for constructing the fuze assembly process knowledge model. The ontology for fuze assembly process knowledge was established using ontology modeling tools and the OWL language, creating a unified knowledge description system. Semantic annotation based on ontology was employed to resolve semantic information issues encountered by computers in understanding fuze assembly process knowledge. A knowledge management system for fuze assembly processes was developed using the Django framework, which realized the semanticization of fuze assembly process knowledge and improved retrieval efficiency.