基于知识图谱的装配语义信息建模

Assembly Semantic Information Modeling Based on Knowledge Graph

针对总成产品的装配数据通常分散于CAD模型与装配工艺文档中,因而不同类型的装配语义信息由于异构性无法相互关联的问题,基于知识图谱提出一种面向装配语义信息的建模方法,结合传统的数据映射与人工智能中的自然语言处理技术,实现了CAD模型的几何信息与装配工艺文档中工艺过程信息的智能集成。首先阐述了不同层次的语义特征在基于知识图谱的装配语义模型(KG–ASM)中所代表的概念、实体类及关系类;其次根据CAD模型文件与装配工艺文档,基于数据抽取、语义映射及自然语言处理技术自动构建KG–ASM中的实例节点;最后以航空航天产品中速度调节机构的试装过程为例验证KG–ASM及其构建方法的可行性。

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.