基于小波变换的轨道地图数据平顺性检测算法研究

Research of Data Smoothness Detection Algorithm of Digital Track Map Based on Wavelet Transform

轨道地图的平顺性检测是地图评估工作中的重要组成部分,人工检测往往达不到精准修补线路的要求。提出了基于小波变换的平顺性检测算法,获得轨道线路的转角序列,对转角序列做离散小波变换,将获得的高频分量做小波重构,排除弯道转角不平顺性能量的影响,对地图数据做多尺度分析,精准定位平顺性奇异点的里程值。经过实验验证,该算法能精准定位不平顺数据点,并能够定位多尺度不平顺数据点,实现了平顺性的自动检测,降低人工检测成本。

The inspection of data smoothness is a key part in the evaluation of digital track map,but manual detection always cannot meet the demand.This paper gives a smoothness algorithm based on Wavelet Transform,which firstly calculates the track rotation angle sequence,and applies discrete wavelet transform and reconstruction to the sequence in order to exclude the impact of rotation angle on smoothness inspection.Then the algorithm makes a multi-scale analysis to digital track map line data and accurately locates the mileages of the uneven area.The simulation results illustrate that this algorithm can accurately locate uneven data points and locate multiscale uneven data points.This algorithm can achieve automatic inspection of smoothness and reduce the cost of manual testing.