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铁路通信信号工程技术 ›› 2024, Vol. 21 ›› Issue (4): 10-14.DOI: 10.3969/j.issn.1673-4440.2024.04.002

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基于首尾冗余的列控车载设备测速测距系统

宁云转1,2,鲍鹏宇1,2,刘 佳1,2,王 成1,2,顾玲凤1,2   

  1. 1.北京全路通信信号研究设计院集团有限公司,北京 100070;
    2.北京市高速铁路运行控制系统工程技术研究中心,北京 100070
  • 收稿日期:2023-12-27 修回日期:2024-01-09 出版日期:2024-04-25 发布日期:2024-04-25
  • 作者简介:宁云转(1990—),女,工程师,硕士,主要研究方向:列车自动防护,邮箱:ningyunzhuan@crscd.com.cn。
  • 基金资助:

    国家自然科学基金高铁联合基金重点项目(U2034211)

    发明专利:2018年国家发明专利(CN201811220437.0)

Speed and Distance Measurement System of Train Control Onboard Equipment Based on Head and Tail Redundancy

Ning Yunzhuan1, 2,  Bao Pengyu1, 2,  Liu Jia1, 2,  Wang Cheng1, 2,  Gu Lingfeng1, 2   

  1. 1. CRSC Research & Design Institute Group Co., Ltd., Beijing 100070, China;
    2. Beijing Engineering Technology Research Center of Operation Control Systems for High Speed Railways, Beijing 100070, China
  • Received:2023-12-27 Revised:2024-01-09 Online:2024-04-25 Published:2024-04-25

摘要: 测速测距系统主要任务是向列车控制系统提供实时的速度和位移信息,常见的测速测距系统主要采用多传感器(如速度传感器、雷达传感器、加速度计、卫星等)融合的方式。从系统的角度提出一种基于多种传感器融合的首尾冗余测速测距系统设计方案,既能有效地降低因单点故障导致的测速测距系统故障,又能避免因测速测距系统故障而导致的信号系统故障,从而实现了车头、车尾测速测距系统的安全冗余。

关键词: 测速测距, 首尾冗余, 多传感器, 融合, 定位信息

Abstract: The main task of the speed and distance measurement system is to provide real-time speed and displacement information to the train control system. Common speed and distance measurement systems mainly use the integration of multiple sensors (such as speed sensors, radar sensors, accelerometers, satellites, etc.). This paper proposes a design scheme for a redundant speed and distance measurement system based on the integration of multiple sensors from a system perspective. It can effectively reduce the faults of the speed and distance measurement system caused by single point faults, and avoid signaling system faults caused by faults of the speed and distance measurement system, so as to realize the safety redundancy of speed and distance measurement systems in head and tail of the train.

Key words: speed and distance measurement, head and tail redundancy, multiple sensors, integration, location information

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