Research and Practice on Big Data Analysis Technology for Inspection and Monitoring of High Speed Railway infrastructure
With the gradual completion of the inspection and monitoring system for high speed railway infrastructure,it is increasingly urgent to use new technologies such as big data and artificial intelligence to determine and scientifically evaluate the service status of infrastructure in a more accurate and timely manner.Focusing on data collection,transmission,storage,governance,mining,sharing and application,this paper constructs the overall architecture of big data for railway infrastructure inspection and monitoring,and puts forward key technologies such as interference data correction,accurate alignment of dynamic waveform data,massive data fusion and comprehensive display.On the basis of relatively complete large value safety alarm,through big data analysis practice,this paper solves the problems of comprehensive safety risk perception,accurate equipment status evaluation and accurate trend change prediction of the equipment of track maintenance,power supply,communication & signaling,providing scientific support for realizing advanced high speed railway safety prevention and accurate infrastructure maintenance.
railway infrastructureinspection and monitoringbig datalife cycle managementdefect identificationearly warning
NETL
NSTL
万方数据
