数据驱动的高速铁路列车掉分相诊断方法*

doi:10.16265/j.cnki.issn1003-3033.2019.S1.034

中国安全科学学报 ›› 2019, Vol. 29 ›› Issue (S1): 192-196.doi: 10.16265/j.cnki.issn1003-3033.2019.S1.034

• 公共安全 • 上一篇

数据驱动的高速铁路列车掉分相诊断方法^*

李建明工程师

中国铁路沈阳局集团有限公司调度所,辽宁沈阳 110001

收稿日期:2019-03-08 修回日期:2019-05-29 出版日期:2019-06-30 发布日期:2020-10-28
作者简介:李建明 (1980—),男,辽宁沈阳人,本科,工程师,主要从事高速铁路运输组织和应急处置方面的工作。E-mail:13998899895@163.com。

Data-driven failure diagnosis approach of high-speed railway trains stopping in the neutral zone

LI Jianming

Dispatching Department, China Railway Shenyang Group, Shenyang Liaoning 110001, China

Received:2019-03-08 Revised:2019-05-29 Online:2019-06-30 Published:2020-10-28

摘要/Abstract

摘要： 为提升高速铁路动车组(EMU)列车掉分相应急效率和处置决策的有效性,防止不恰当的处理方式引发接触网烧损事故,基于高速铁路牵引供电系统的分相区分布特征,提出一种基于数据驱动的高速列车掉分相诊断方法,并依此搭建掉分相应急处置系统。根据历史数据,梳理调度员处理掉分相故障所面临的问题,分析影响处置效率和引发处置风险的关键因素;结合线路数据及接触网数据,展示了包括列车控制策略在内的掉分相处置可视化解决方案。结果表明:该诊断方法将高速铁路列车掉分相处置方案决策时间减少至原来1/4,可有效提高高速铁路应急处置效率。

关键词: 高速铁路, 动车组(EMU), 分相区, 应急处置, 数据驱动

Abstract: Based on the distribution characteristics of neutral zones of tractive power supply system, a data-driven approach dealing with high speed trains' stopping in the neutral zone was proposed and the processing system was established, which can greatly improve the emergency efficiency and effectiveness of decision. The proposed approach can also mitigate the accident caused by the improper dealing methods that could cause the overhead line burn down. According to historical data, the problems dispatchers dealt with were combed, and the key factors, which affected the efficiency of emergency response and cause safety risks were analyzed. Therefore, based on the line data and the information of overhead contact line, visualization solution, including train control strategies, was shown to deal with the problem of stopping in the neutral zone. The results show that based on the proposed approach, the time dealing with trains' stopping in the neutral zone can be quartered, which can largely increase the emergency response efficiency.

Key words: high speed railway, electric multiple units(EMU), neutral zone, emergency response, data-driven

中图分类号:

X928.02

李建明. 数据驱动的高速铁路列车掉分相诊断方法^*[J]. 中国安全科学学报, 2019, 29(S1): 192-196.

LI Jianming. Data-driven failure diagnosis approach of high-speed railway trains stopping in the neutral zone[J]. China Safety Science Journal, 2019, 29(S1): 192-196.

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数据驱动的高速铁路列车掉分相诊断方法^*

Data-driven failure diagnosis approach of high-speed railway trains stopping in the neutral zone

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