铁道标准设计2026，Vol.70Issue(4)：40-47,8.DOI:10.13238/j.issn.1004-2954.202406190007
基于PELT与稳健估计的高速铁路曲线控制点识别方法
High-Speed Railway Curve Control Point Identification Method Based on PELT and Robust Estimation
摘要
Abstract
In order to accurately grasp the curve status of a high-speed railway under maintenance window conditions and provide a basis for the subsequent maintenance operations,a method of identifying the curve control points of high-speed railway based on relative measurement data was designed by utilizing the mapping relationship between some of the internal geometric parameters of the railway track and curve control points.Firstly,the signal-to-noise ratio(SNR)of the internal geometric parameters of different types of the railway track was calculated and compared,and the horizontal(superelevation)parameters with more obvious alignment characteristics were selected as the input data of the identification method.Secondly,according to the alignment type of the high-speed railway curve and the characteristics of the input data,the objective function and identification strategy of the PELT search algorithm were set to realize the rough segmentation of the horizontal(superelevation)data and the initial identification of curve control points.Then,the segmented horizontal(superelevation)data were subjected to piecewise linear robust estimation to achieve accurate estimation of change-point mileage and secondary identification of curve control points,so as to reduce the influence of abnormal data on identification accuracy.Finally,based on the simulation and the horizontal(superelevation)data of a test line,the correctness of the identification method in the Monte Carlo simulation experiment and its effectiveness in field application were verified.The results of simulation experiments showed that when the SNR of the detected signal was not less than 40.09 dB,the total error of the control point identification was estimated to be 0.26 m.The results of field experiments showed that the identification error of round-trip data was no greater than 1.346 m,while the identification error of one-way data was generally not more than 0.2 m,and the identification results showed high repeatability.Since the identification data are derived from the internal geometric parameters of the railway track,the method demonstrates efficiency and can be used in the daily track quality evaluation of high-speed railways as well as providing a basis for track maintenance operations.关键词
高速铁路/曲线控制点识别/PELT搜索算法/蒙特卡洛方法/稳健估计Key words
high-speed railway/curve control point identification/PELT search algorithm/Monte Carlo method/robust estimation分类
交通工程引用本文复制引用
谢智峰,魏晖,朱洪涛,杨飞,吴仕凤,赵琳渊,李昌..基于PELT与稳健估计的高速铁路曲线控制点识别方法[J].铁道标准设计,2026,70(4):40-47,8.基金项目
国家重点研发计划课题(2022YFB2602905) （2022YFB2602905）
国家自然科学基金项目(52278465,52068052) （52278465,52068052）
江西省自然科学基金项目(20202BABL204056) （20202BABL204056）
江西省重大科技研发专项(20203ABC28W008) （20203ABC28W008）
江西省汽车服务工程及产业升级协同创新中心开放基金(232KFJJ04) （232KFJJ04）
