智能化技术在铁路车辆段检修作业中的应用实践

Application of intelligent technology in railway vehicle depot maintenance

摘要

铁路车辆段检修作业是保障铁路运输安全的核心环节，传统检修模式依赖人工经验，存在效率低、精度不足、风险防控滞后等问题，难以适配现代铁路高密度、高速度的运营需求。本文以铁路车辆段检修作业为研究对象，分析智能化技术应用的必要性，从智能检测、智能诊断、智能仓储、智能管理四个维度，探讨智能化技术在检修作业中的具体应用路径。阐述智能化技术如何优化检修流程、提升检修精度、降低作业风险。提出技术应用中的协同机制构建与优化方向。研究表明，智能化技术可推动铁路车辆段检修从“经验驱动”向“数据驱动”转型，为铁路运输安全高效运行提供技术支撑。

Abstract

Railway depot maintenance operations constitute a critical component in ensuring rail transport safety. Traditional maintenance models, which rely on manual experience, suffer from low efficiency, insufficient precision, and delayed risk prevention, making them ill-suited for modern railways’ high-density, high-speed operational demands. This study examines railway depot maintenance operations as a research subject, analyzing the necessity of intelligent technology applications. Through four dimensions-intelligent inspection, intelligent diagnosis, intelligent warehousing, and intelligent management-the paper explores specific implementation pathways for intelligent technologies in maintenance processes. It demonstrates how intelligent technologies optimize maintenance workflows, enhance precision, and reduce operational risks. The study proposes collaborative mechanisms and optimization strategies for technology application. Research findings indicate that intelligent technologies can facilitate the transition from “experience-driven” to “data-driven” maintenance practices in railway depots, providing technical support for safe and efficient rail transportation operations.

关键词

铁路车辆段 / 检修作业 / 智能化技术 / 智能检测 / 智能管理

Key words

railway depot / maintenance operation / intelligent technology / intelligent detection / intelligent management

参考文献

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