机械科学与技术2024，Vol.43Issue(12)：2089-2095,7.DOI:10.13433/j.cnki.1003-8728.20230128
面向制造车间数字孪生知识图谱研究
Research on Digital Twin Knowledge Graph for Manufacturing Workshops
摘要
Abstract
Under the conditions of diversified product demands and intelligent production equipment in manufacturing workshop,aiming at the problems of nonstandard material preparation and low man-machine collaboration efficiency in the manufacturing workshop,firstly,the knowledge graph is used to construct the relationship network of the workshop.Based on the management methods of man,machines,materials,methods and environment,the internal entity and attribute map of the manufacturing workshop are constructed by combining top-down and bottom-up,and the workshop data are processed structurally and mapped to the design map.Then the graph database Neo4j is used for data storage and visualization,and Cypher graph query language is used to quickly find associated information.Finally,the mathematical models of production line takttime,smoothness and energy consumption are used to optimize the design scheme,which provide knowledge reference and decision-making for intelligent collaborative production and product supervision management in the manufacturing workshop.The study can realize efficient production in the workshop and provide a data basis for the digital twin of the workshop.关键词
智能制造/数字孪生/知识图谱/Neo4j图存储Key words
intelligent manufacturing/digital twins/knowledge graph/Neo4j graph database分类
机械制造引用本文复制引用
曹雨燕,徐湛,田志刚,马迎辉..面向制造车间数字孪生知识图谱研究[J].机械科学与技术,2024,43(12):2089-2095,7.基金项目
北京市优秀人才资助计划青年拔尖项目(2016000026833ZK08) （2016000026833ZK08）
