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基于关联数据的RBC系统无线超时智能分析研究

殷飞 杨欣浩 田宏达

铁路通信信号工程技术2026,Vol.23Issue(6):32-38,7.
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铁路通信信号工程技术2026,Vol.23Issue(6):32-38,7.DOI:10.3969/j.issn.1673-4440.2026.06.005

基于关联数据的RBC系统无线超时智能分析研究

Research on Intelligent Analysis of RBC System Wireless Timeout Based on Associated Data

殷飞 1杨欣浩 2田宏达2

作者信息

  • 1. 中国铁路上海局集团有限公司南京电务段,南京 210011
  • 2. 北京全路通信信号研究设计院集团有限公司,北京 100070
  • 折叠

摘要

Abstract

The CTCS-3 train control system faces challenges during track-train communication,such as wireless timeout faults,which affects railway operational efficiency and economic benefits.In order to rapidly correlate multi-source heterogeneous data and accurately identify the wireless timeout faults,this paper proposes an intelligent analysis method based on associated data.By leveraging big data technologies,this method enables efficient correlation of multi-source heterogeneous data,and by incorporating intelligent analysis algorithms,it enables automatic analysis of massive datasets,to help the maintenance personnel quickly locate faults.This approach significantly improves the system operation and maintenance efficiency,providing robust support for the safe and stable operation of the train control system.

关键词

无线超时/RBC系统/数据关联/人工智能

Key words

wireless timeout/RBC system/data association/artificial intelligence

分类

交通工程

引用本文复制引用

殷飞,杨欣浩,田宏达..基于关联数据的RBC系统无线超时智能分析研究[J].铁路通信信号工程技术,2026,23(6):32-38,7.

基金项目

中国国家铁路集团有限公司科技研究开发计划系统性重大项目(P2024G003) (P2024G003)

铁路通信信号工程技术

1673-4440

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