In view of the current situation of the narrow scope and low operational efficiency of the fault analysis for the high-speed rail route advance notice service,the working principle of the route advance notice service and the GSM-R interface monitoring data are studied and the operation and maintenance requirements of the relevant equipment of the railway bureau are analyzed.Using decision tree algorithms,big data analysis,and cloud computing technology,the GSM-R route advance notice fault automatic analysis system has been designed and developed.This system realizes the functions of dynamic fault monitoring,automatic cause analysis,closed-loop management of fault disposal,and indicator statistics of the route advance notice service.During the testing of the system,there was no data loss or software/hardware failures,the accuracy rates of dynamic fault monitoring and service indicator statistics were both up to 100%,and the accuracy rate of the automatic analysis of fault causes exceeded 95%.The system provides a reference for the improvement of the service quality of the GSM-R route advance notice and the development and upgrade of similar systems.
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