基于动态时间弯曲的地铁跨专业数据同步方法研究
Study on the Transdisciplinary Data Synchronization Method of Metro based on Dynamic Time Warp
李世江1
作者信息
- 1. 上海地铁维护保障有限公司,上海 200030
- 折叠
摘要
跨专业数据融合分析是打破地铁多部门协作数据壁垒、解决多系统联合仿真困难的重要途径,而跨专业数据同步则是数据融合分析的重要保证.为了实现地铁牵引变电站与车辆数据的时间同步,从波形相似性检测的角度提出了一种基于动态时间弯曲的时间同步方法.通过将牵引变电站的电压波形数据与地铁车辆中的电压波形数据进行匹配分析,实现两者时间同步.结果表明该方法能够计算各个变电站与每一辆列车的时间偏移,具有较高的准确性和有效性,满足工程应用的需求.
Abstract
The transdisciplinary data fusion analysis is an important way to break down the data barriers of multi-sector cooperation in metro and solve the difficulties of multisystem joint simulation,while the transdisciplinary data synchronization is an important guarantee for the data fusion analysis.To realize the time synchronization of the data of the traction substation of the metro and the cars,a time synchronization method based on dynamic time warp is proposed from the angle of waveform similarity.The voltage waveform data of the traction substation and the voltage waveform data of metro cars are analyzed for matching to realize their time synchronization.The result shows that this method allows for the calculation of the time offset between every substation and every train with higher accuracy and effectiveness,so as to satisfy the need for engineering applications.
关键词
地铁/跨专业/数据同步/波形匹配/动态时间弯曲Key words
metro/transdisciplinary/data synchronization/waveform matching/dynamic time warp引用本文复制引用
出版年
2024
NETL
NSTL
万方数据