半结构装配数据的知识抽取及机床装配知识图谱构建方法研究

Research on knowledge extraction of semi-structured assembly data and construction method of machine tool assembly knowledge graph

如果机床当中的零部件信息以及部件之间的关系以图谱的形式展示,能够更为有效获悉零部件周围相连的部件信息以及当前零件定位细节,又可以辅助工厂数控机床装配,解决装配数据分散、无规范以及装配效率低下等机床现状问题。由于当前表述机床三维信息软件有很多,因此相应文件格式也众多,导致复杂装配产品难以数字化管理,同时传统的单一连接关系难以全面描绘三维图形,以至于这方面深度学习模型效率不高,无法真正理解机床模型知识,知识推理能力几乎没有。而知识图谱以图的形式,可以表示多种模型部件连接关系,对知识的理解能力远超单一连接关系,可以提高知识推理能力。通过机床装配数据准备、装配知识抽取、知识推理、知识存储和知识可视化表示环节来完成从三维模型到知识图谱构建。

If the information of parts and components in the machine tool and the relationship between parts are displayed in the form of graph,which can more effectively learn the information of parts connected around the parts and the positioning details of current parts.It can also assist the assembly of factory CNC machine tools,and solve the current problems of machine tools such as scattered assembly data,non-standard and low assembly efficiency.At present,there are many software describing 3D information of machine tools,so there are many corresponding file formats,which makes it difficult to digitally manage complex assembly products.At the same time,the traditional single connection relationship is difficult to comprehensively depict 3D graphics,so that the efficiency of in-depth learning model in this respect is not high,the knowledge of machine tool model cannot be truly understood,and the knowledge reasoning ability is almost not available.The knowledge graph,in the form of graph,can represent the connection relationship of various model components.The ability to understand knowledge is far beyond the single connection relationship,which can improve the ability of knowledge reasoning.The construction from three-dimensional model to knowledge graph is completed through the steps of machine tool assembly data preparation,assembly knowledge extraction,knowledge reasoning,knowledge storage and knowledge visualization.