摘要
轨道的工作状态对于铁路的正常运行效率和安全起着至关重要的作用。目前,针对区间试验段轨道(尤其是10公里以下的车辆厂区内试验线路)养护维修,国内外没有成熟的集成轨道和接触网两部分检测功能的综合检测系统或设备。因此文章结合高精度定位测量技术、大数据技术和健康管理技术,充分利用线路检测数据,建立故障检测诊断模型以及一套对试验线路有效性和线路养护维修质量的科学评价体系。实现轨道病害报警、指导线路养护维修以及线路试验有效性评价。
The working state of the track plays a crucial role in the normal operation efficiency and safety of the railway.At present,there is no mature comprehensive detection system or equipment at home and abroad that integrates the detection functions of the track and contact network for the maintenance and repair of the track in the interval test section(especially the test line in the factory area of vehicles below 10 kilometers).Therefore,this article combines high-precision positioning measurement technology,big data technology,and health management technology to fully utilize line detection data,establish a fault detection and diagnosis model,and a scientific evaluation system for the effectiveness of experimental lines and the quality of line maintenance and repair,so as to realize track disease alarm,guide line maintenance and repair,and evaluate the effectiveness of line testing.
作者
林月
胡士华
陈文轩
翟朝凯
谢小宁
Lin Yue;Hu Shihua;Chen Wenxuan;Zhai Chaokai;Xie Xiaoning
出处
《时代汽车》
2025年第13期17-19,共3页
Auto Time
基金
名师工作室项目:陈文轩机车电类技能研训工作室(2024-JNDS004)。
关键词
试验线
轨道检测车
数据处理
Test Line
Track Inspection Vehicle
Data Processing
