控制理论与应用2024，Vol.41Issue(3)：577-585,9.DOI:10.7641/CTA.2023.20959
面向注塑产品工艺缺陷的知识图谱构建方法及应用
Construction method and application of knowledge graph for process defect of injection molding products
摘要
Abstract
In response to the deficiencies of low efficiency and high costs associated with the existing manual diagno-sis of injection molding product defects,this paper proposes a method for constructing a knowledge graph for injection molding product defects and its application.The objective is to represent expert knowledge by using a knowledge graph and utilize knowledge graph-based vertical retrieval techniques to address the difficulties in fault troubleshooting and lo-calization.Firstly,a corpus of fault resolution solution texts is built based on the multiple heterogeneous sources,and a knowledge ontology model is constructed.Secondly,a knowledge extraction model for unstructured texts is employed to automatically extract relevant expert knowledge regarding product defects from the original corpus.Finally,the Neo4j graph database is used to implement knowledge storage and the construction of a visualized knowledge graph.In the con-structed knowledge graph,applications such as intelligent knowledge search,fault diagnosis,and process card analysis are explored and implemented,demonstrating the promising application prospects of knowledge graph technology in the field of injection molding.关键词
知识图谱/本体模型/知识抽取/专家知识/故障诊断Key words
knowledge graph/ontology model/knowledge extraction/expert knowledge/fault diagnosis引用本文复制引用
葛睿夫,任志刚,林江豪,林越,高祖标..面向注塑产品工艺缺陷的知识图谱构建方法及应用[J].控制理论与应用,2024,41(3):577-585,9.基金项目
广东省重点领域研发计划项目(2021B0101200005),国家自然科学基金项目(62073088,U1911401)资助.Supported by the Key-Area Research and Development Program of Guangdong Province(2021B0101200005)and the National Natural Science Foun-dation of China(62073088,U1911401). （2021B0101200005）
