起重运输机械Issue(22)：21-27,7.
多层级自动扶梯知识图谱双向混合构建方法研究
摘要
Abstract
In response to low diagnostic efficiency and limited decision-support capability in escalator maintenance,a two-way,multi-level knowledge graph mixed composition method was proposed.By integrating bottom-up and top-down mixed composition,an escalator knowledge graph that explicitly encodes condition awareness,fault diagnosis,and safety-supervision semantics was derived by ontology engineering and knowledge extraction.The resulting graph was persisted in a Neo4j graph database and queried with Cypher,enabling visual navigation,which improves both the efficiency and accuracy of fault diagnosis,optimize the operation and maintenance management and safety supervision,and ensure the safe and stable operation of escalators.关键词
自动扶梯/故障诊断/知识图谱/图数据库Key words
escalator/fault diagnosis/knowledge graph/graph database分类
建筑与水利引用本文复制引用
周前飞,丁树庆,冯月贵,胡建中,陈嘉华..多层级自动扶梯知识图谱双向混合构建方法研究[J].起重运输机械,2025,(22):21-27,7.基金项目
江苏省重点研发计划项目(BE2022672) （BE2022672）
