Intelligent Diagnosis Technology for Working State of Turnout Switching System for Heavy Haul Railway

doi:10.3969/j.issn.1673-4440.2022.05.003

Railway Signalling & Communication Engineering ›› 2022, Vol. 19 ›› Issue (5): 17-20.DOI: 10.3969/j.issn.1673-4440.2022.05.003

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Intelligent Diagnosis Technology for Working State of Turnout Switching System for Heavy Haul Railway

Yao Shengliang¹, Yang Shuo^{2, 3}, Li Ji^{2, 3}, Ma Jingwen^2,3

1. China Railway Taiyuan Group Co., Ltd., Taiyuan 030000, China；
2. CRSC Research & Design Institute Group Co., Ltd., Beijing 100070, China；
3. Beijing Engineering Technology Research Center of Operation Control Systems for High Speed Railways, Beijing 100070, China

Received:2021-05-19 Revised:2022-03-29 Online:2022-05-25 Published:2022-05-25

简谈重载铁路道岔转换系统工作状态智能诊断技术

姚胜良¹，杨硕^2，3，李继^2，3，马婧雯^2，3

1．中国铁路太原局集团有限公司，太原 030000；
2．北京全路通信信号研究设计院集团有限公司，北京 100070；
3．北京市高速铁路运行控制系统工程技术研究中心，北京 100070

作者简介:姚胜良（1971—），男，高级工程师，本科，主要研究方向：电力设备管理维护，邮箱：tydwc@sina.com
基金资助:
中国国家铁路集团有限公司重点课题项目（P2018X011）

Abstract

Abstract: Heavy haul railway has the characteristics of high traffic density, high speed traffic and serious pollution. The existing way of maintenance brings challenges to the improvement of the maintenance efficiency. This paper analyzes and summarizes the typical faults, diagnosis function, turnout switching information perception, data acquisition and transmission, intelligent prediction and reasoning, then briefly plans the functional requirements and technical route of turnout switching intelligent diagnosis system, which lays a foundation for the research and implementation of intelligent diagnosis technology of turnout switching system working state of heavy haul railway.

Key words: heavy haul railway, turnout switching device, information perception, intelligent diagnosis

摘要： 重载铁路具有行车密度大、重车速度快以及线路污染严重的特点，现有依靠维修人员上道排查的方式，对道岔转换设备运维效率的进一步提高带来挑战。从重载铁路典型故障、诊断功能、道岔转换信息感知、数据采集传输以及智能预测推理几个方面进行分析总结，简要规划道岔转换智能诊断的功能需求和技术路线，为重载铁路道岔转换系统工作状态智能诊断技术的研究和落地奠定基础。

关键词: 重载铁路, 道岔转换设备, 信息感知, 智能诊断

CLC Number:

U213.6

Yao Shengliang, Yang Shuo, Li Ji, Ma Jingwen. Intelligent Diagnosis Technology for Working State of Turnout Switching System for Heavy Haul Railway[J]. Railway Signalling & Communication Engineering, 2022, 19(5): 17-20.

姚胜良, 杨硕, 李继, 马婧雯. 简谈重载铁路道岔转换系统工作状态智能诊断技术[J]. 铁路通信信号工程技术, 2022, 19(5): 17-20.

Figures/Tables 2

References

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Intelligent Diagnosis Technology for Working State of Turnout Switching System for Heavy Haul Railway

简谈重载铁路道岔转换系统工作状态智能诊断技术

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