铁路物流2025，Vol.43Issue(9)：52-57,64,7.DOI:10.16669/j.cnki.issn.2097-5899.20240427001
基于知识图谱的编组站控制系统故障应急处置研究
Research on Fault Emergency Response of Marshalling Station Control System Based on Knowledge Graph
摘要
Abstract
Taking the emergency response of the railway marshalling station control system as the background,this paper constructed a knowledge graph for the safety emergency response of the marshalling station control system.In the work of obtaining the entities and relationships of the safety emergency response of the marshalling station control system,for unstructured data,a technology based on regular expressions and natural language processing was adopted to extract entities and relationships from specific format.docx files.In the implementation of the knowledge graph for the safety emergency response of the marshalling station control system,a knowledge graph for the safety emergency response of the marshalling station control system was constructed based on Neo4j,achieving the visual expression of the fault data set during the operation of the marshalling station control system.The Cypher language was used to query the emergency handling process when a fault occurs.The research results can provide a reference for the emergency response of the marshalling station control system under fault conditions.关键词
知识图谱/编组站控制系统/知识存储/Neo4j/辅助决策Key words
Knowledge Graph/Marshalling Station Control System/Knowledge Storage/Neo4j/Auxiliary Decision分类
交通工程引用本文复制引用
李涛宇,张振海..基于知识图谱的编组站控制系统故障应急处置研究[J].铁路物流,2025,43(9):52-57,64,7.基金项目
国家自然科学基金项目(61763025) （61763025）
