Chengshi guidao jiaotong yanjiu (Feb 2024)

Real-time Fault Locating Method for Urban Rail Transit CBTC System

  • Guangzheng BAI,
  • Zexi ZHENG,
  • Haonan FENG,
  • Zhanying XU,
  • Haixiang LIU,
  • Kai FAN

DOI
https://doi.org/10.16037/j.1007-869x.2024.02.021
Journal volume & issue
Vol. 27, no. 2
pp. 112 – 116

Abstract

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[Objective] To carry out rapid fault diagnosis and locating for urban rail transit CBTC (communication-based train control) system, a real-time fault monitoring and locating method based on time constraints is proposed, focusing on system network monitoring data. [Method] The design concept of the proposed real-time fault locating method for the CBTC system is introduced. An algorithm based on time constraints for fault locating is proposed. A CBTC data monitoring system is constructed, and the algorithm is validated. [Result & Conclusion] By defining fault matching patterns, a fault pattern library is constructed, pattern matching rules are described, and pattern similarity degree is defined. Considering the differences in functional requirements, such as communication cycles and fault response time among various sub-systems in the CBTC system, and the synchronization issues in data processing among multiple systems, the time constraint factors are introduced, and characters beyond the specified time constraints are excluded from participating in fault pattern marching. Through utilizing the position of each failed matching point in the cycle and inheriting information of characters from successful matches, the efficiency of the next match is enhanced and backtracking searches by the algorithm are avoided, improving overall pattern matching efficiency. The algorithm validation results demonstrate that the proposed algorithm can rapidly and accurately locate real-time faults occurring in the system.

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