摘要
高铁轨道的动检不平顺数据存在显著的里程偏差,不可避免地给轨道质量的科学分析和研究带来困难。在现有里程修正算法的基础上,根据波形的变化趋势及其点位匹配,提出相关性插值优化匹配法(Correlation Interpolation Optimal Matching Method,CIOM),并引入精度因子、形状因子和综合因子作为里程偏差修正结果的评价指标,弥补现有修正算法评价体系的不足。使用CIOM与最小二乘匹配(Least Squares Matching,LSM)、动态时间规划(Dynamic Time Warping,DTW)进行里程偏差修正仿真实验,3种算法的修正对比结果表明:CIOM算法可将里程误差控制在0.07 m左右,同时保留原有波形特征;DTW虽波形对齐精度高,但其改变原有波形,导致波形失真;形状因子弥补现有指标的不足,能有效评估修正后数据波形的变化大小。最后,通过某高速铁路多期动检数据实践检验。相比于现有算法,CIOM修正结果的精度因子和形状因子的平均值均高于0.9,验证CIOM算法修正里程误差的有效性和优越性。
The irregularity data of high-speed rail track has significant mileage deviation,which inevitably brings difficulties to the scientific analysis and research of track quality.Based on the existing algorithms,this paper proposes the correlation interpolation optimization matching(CIOM)method according to the change trend of waveform and its point matching,and introduces precision factor,shape factor and comprehensive factor as the evaluation index of mileage deviation correction results to make up for the shortcomings of the existing evaluation system of correction algorithms.The CIOM,least squares matching(LSM)and dynamic time warping(DTW)are used to conduct mileage error correction simulation experiment.The results show that CIOM can control the mileage error at about 0.07m,while retaining the original waveform characteristics.Although DTW has high waveform alignment accuracy,it changes the original waveform and leads to waveform distortion.The shape factor makes up for the deficiency of the existing indicators and can effectively evaluate the change of the modified data waveform.Finally,practical multi-phase tests on a high-speed railway line and the comparison with other methods show that the average values of accuracy factor and shape factor of CIOM algorithm are higher than 0.9,which proves the effectiveness and superiority of CIOM algorithm in correcting mileage error.
作者
张宝美
岑敏仪
张同刚
黄亿
江来伟
ZHANG Baomei;CEN Minyi;ZHANG Tonggang;HUANG Yi;JIANG Laiwei(Faculty of Geosciences and Environmental Engineering,Southwest Jiaotong University,Chengdu 610031,China;High-speed Railway Track Division of Guangzhou South,Guangshen Railway Co.,Ltd.,Guangzhou 511495,China)
出处
《铁道标准设计》
北大核心
2023年第8期64-69,共6页
Railway Standard Design
基金
中国国家铁路集团有限公司科技研究开发计划课题(P2019G029)。
关键词
高速铁路
轨检数据
里程误差修正
尺度变化
重采样
评价指标
high speed railway
track geometry data
mileage error correction
scale change
resampling
evaluation indexes
作者简介
张宝美(1997-),男,硕士研究生,E-mail:2685589493@qq.com;通信作者:岑敏仪(1960-),男,教授,工学博士,博士生导师,E-mail:swcmy@home.swjtu.edu.cn。
