2022 Vol.5 Dec.No4

• Title: Intelligent maintenance monitoring platform for urban rail transit signals based on fault prediction
• Name: He Zhengxuan*,Wang Yi
• Company: Xidian University,Xi'an 710071, China
• Abstract:

  The current traditional urban rail transit signal intelligent maintenance monitoring platform has poor load capacity due to the lack of intelligent processing of maintenance data in hardware. In this regard, the design of urban rail transit signal intelligent maintenance monitoring platform based on fault prediction is proposed. The core chip processor and data display module are designed to improve the data processing capability of the platform, and the monitoring algorithm is analyzed by combining parallel genetic algorithm. In the experiments, the proposed platform is verified for its load capacity, and the analysis of the experimental results shows that the proposed platform is used to monitor the traffic signals, and the fleet data that the platform can handle is large in scale and has a high load capacity.

  
  

• Keyword: fault prediction, urban rail; traffic signals; monitoring platforms; parallel genetic algorithms.
• DOI: 10.12250/jpciams2022090521
• Citation form: He Zhengxuan.Intelligent maintenance monitoring platform for urban rail transit signals based on fault prediction [J]. Computer Informatization and Mechanical System,2022,Vol.5,pp.92-96

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