铁路信号设备故障知识图谱构建与应用研究

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关键词：信号设备；故障诊断；知识图谱；多元异构信息融合；智能运维

doi：10.3969/J.ISSN.1672-7274.2025.04.049

中图分类号：U284 文献标志码：A 文章编码：1672-7274（2025）04-0144-05

Abstract：Railway signaling equipment is the cornerstone of the railway control systemand plays a vital role in ensuring safe and eficient railwayoperation.Improving the eficiencyoffault handling ofrailway signaling equipment is directlyrelated to improving theoverall operation and maintenance quality.The applicationof knowledge graphs in railway signaling equipment fault management provides arevolutionary method to improve fault handling effciency. Knowledge graphs can fuse various types of information， perform multi-heterogeneous information fusion，and achieve automatic diagnosis and fault-assisted maintenance through graph reasoning.This feature greatly improves the effciency of the fault management processThis article conducts an in-depth study ofthe construction process of a knowledge graph specifically designed for fault diagnosis of railway signaling equipment. It also proposes an application architecture and functional framework specifically for fault diagnosis of railway signaling equipment， making fulluseof the advantages of the knowledge graph.The framework helps integrate various data sources and supports advanced inference mechanisms to accurately identifyand diagnose faults. Inaddition，this paper illustrates the practical significance of knowledge graph-based methods in fault repair.By providing auxiliary maintenance support， the system can significantly reduce downtime and improve the reliability of railway operations.

Keywords： signal equipment; fault diagnosis; knowledge graph; multi-heterogeneous information fusion; intelligentoperationand maintenance

研究背景

铁路信号设备在保障铁路安全高效运行中发挥着重要作用，保持设备的最佳状态是保证列车安全可靠运行的关键。（剩余7044字）