High-speed Railway Mileage Alignment Matching and Error Correction between Dynamic and Static Track Inspection Data
Accurate matching between the dynamic and static detection data of track geometry plays a key role in probing the service status of high-speed railways and formulating accurate and reliable maintenance strategies.In response to the current situation of less research on dynamic and static mileage matching algorithms,this paper proposed to use waveform matching of dynamic and static measured data to study and establish a two-stage correction algorithm based on the combination of cross-correlation function and dynamic time planning,with distance error used as an evaluation index.Combined with a case analysis of the track geometry inspection data of a high-speed railway,the static inspection data was used as a reference to evaluate and correct the mileage errors of the dynamic inspection data.The results show that the two-stage algorithm has a significant correction effect,with the cumulative distance errors reduced by more than 93％.The revised dynamic and static detection data are strictly aligned,ensuring the reliability and validity of the dy-namic detection data.
万方数据
维普
