The BTM and Balise devices are vital components of train operation control systems.With the increasing duration of high-speed rail operations,growing operational mileage,and expanding fleet of high-speed railways,BTM and Balise equipment inevitably experience varying degrees of performance degradation.This affects the efficiency of train operations and transportation safety.This paper utilizes operational data from the train control onboard BTM equipment and employs trend analysis and big data statistical co MParison methods.Combined with equipment maintenance and fault diagnosis results,it constructs a model for analyzing the operational status trends of the equipment.The paper analyzes the trend of the operational status of BTM and Balise equipment,dynamically assesses their operational status,and issues early warnings before equipment failure.Prompt maintenance and repair reduce the risk of equipment malfunctions and ensure a reliable transition of railway electrical equipment maintenance from corrective to preventive strategies.
关键词
趋势分析/统计比较/趋势监测/大数据/列控系统/应答器/BTM
Key words
trend analysis/statistics co MParison/trend monitoring/big data/train control system/balise/BTM
维普
万方数据