基于关联数据的RBC系统无线超时智能分析研究OA

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.