基于大数据技术的轨道电路室外设备PHM研究

Research on PHM of Track Circuit Outdoor Equipment Based on Big Data Technology

铁路电务专业迫切需要掌握轨道电路室外设备工作状态、运行质量和工况信息,同时能完成自身健康状态的监控和预警,辅助运维人员实现"状态修"。针对上述需求,提出基于大数据技术和物联网技术,将轨道电路室外设备的实时工作状态和工况信息进行采集、整合、处理、分析,构建一种安全、高效、智能的故障诊断预测和健康管理平台,研究并探索轨道电路室外设备"预测修"的方法,推动PHM辅助电务运维人员高质量完成运维工作。

The railway signal & communication profession urgently needs to master the working status, operation quality and working condition information of the track circuit outdoor equipment, and at the same time, the track circuit outdoor equipment shall have the functions of monitoring and early warning of its own health status, so as toa assist the operation and maintenance personnel to realize the "state repair". According to the above requirements, this paper proposes to collect, integrate, process and analyze the real-time working status and working condition information of the outdoor equipment of the track circuit based on big data technology and Internet of Things technology, and build a safe, efficient and intelligent fault diagnosis prediction and health management platform, study and explore the method of "predictive repair" of the track circuit outdoor equipment, and promote PHM to assist the signal & communication personnel to complete the operation and maintenance work with high quality.