高速铁路动检车检测数据里程误差评估与修正

摘要

减小动检车检测数据里程误差,是实现准确评估轨道状态与深入研究轨道状态演变规律的基本保障.针对当前处理动检数据里程误差的不足,建立一种基于局部波形匹配的动检数据里程误差定量评估模型,并采用两次插值的方法修正里程误差.通过对平面曲线分析发现,平面曲线直缓点、缓圆点、圆缓点和缓直点均可作为里程误差校正点.结合某高速铁路动检数据计算表明:在99.7％置信度下,该线动检数据绝对里程误差在[-23.8 15.6] m,相对里程误差在[-15.9 15.7] m;修正里程误差后,校正点附近绝对里程误差可控制在[-0.7 0.7] m,全线相对里程误差可控制在[-4.2 4.2] m,因而本文方法能有效地实现对线路尤其是长大曲线内部的里程误差处理.%Reducing mileage errors of data from the track inspection car can basically guarantee the accurate assessment and prediction of track geometry.Considering the inefficiencies of present researches on reducing mileages errors,a quantitative model for estimating differences between measurement mileages and actual mileages of track geometry data is established based on waveform matching method.Then interpolation is twice adopted to correct the mileage errors.The analysis of plane curve demonstrates that the points of tangent to spiral,spiral to curve,curve to spiral and spiral to tangent can be used as mileage calibration points individually.With reference to the data from the track inspection car on a high-speed railway,under the confidence of 99.7％,the range of differences between actual mileages and measurement mileages can be controlled at [-23.8 15.6] m and the range of differences of sampling points between two measurement inspections at [-15.9 15.7] m.After the processing of the mileage errors,the range of differences between actual mileages and corrected mileages around the calibration point is [-0.7 0.7] m and the range of mileage differences of sampling points between two correction inspections can be controlled at [-4.2 4.2] m,which shows that the mileage errors could be corrected effectively,especially the errors in long curve.