捣固车前端偏差测量与起拨道量智能优化技术

Intelligent Optimization Technology of Front End Deviation Measurement and Track Lifting Volume of Tamping Machine

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摘要为解决线路大修、维修后捣固车起拨道作业依赖人工看道且捣固车自身弦线无法测量线路长波不平顺的问题,采用基于惯性导航+全球导航卫星系统(Global Navigation Satellite System,GNSS)的捣固车前端偏差测量技术,提升捣固车前端偏差测量的精度和效率。提出了基于最小调整原则与桥梁、隧道等特殊路段约束条件下的起拨道量智能生成算法,制定了约束测量策略,实现了捣固车全路段智能作业方案生成。首次形成了线路清筛粗捣-精测精捣的一体化作业模式,提升了清筛作业数字化程度,减少了重复作业次数,提高了道路稳定性。现场应用结果表明:使用捣固车前端偏差测量与起拨道量智能优化技术可精确测量轨道内外几何参数,满足现场使用的误差要求;使用该技术生成的起拨道方案作业后轨道质量指数(Track Quality Index,TQI)平均降幅为35%,优于传统模式。 In order to solve the problem that the tamping machine track lifting operation after line overhaul and maintenance relies on manual track observation and the tamping machine own chord cannot measure the long wave irregularity of the line,the tamping machine front end deviation measurement technology based on inertial navigation+global navigation satellite system(GNSS)was adopted to improve the accuracy and efficiency of tamping machine front end deviation measurement.Based on the principle of minimum adjustment and the constraint conditions of bridges,tunnels and other special sections,the intelligent generation algorithm of track lifting volume was proposed,the constraint measurement strategy was formulated,and the intelligent operation scheme generation of the whole section of the tamping machine was realized.For the first time,the integrated operation mode of line cleaning and coarse tampingfine measurement and fine tamping has been formed,which has improved the digitization degree of cleaning operation,reduced the number of repeated operations,and increased the road stability.The field application results show that using the front end deviation measurement of tamping machine and the intelligent optimization technology of track lifting volume can accurately measure the geometric parameters inside and outside the track,and meet the error requirements of field use.The track quality index(TQI)generated by this technology has an average decline of 35%after operation,which is better than the traditional mode.

作者刘尚昆张钰荧徐济松高春雷何国华 LIU Shangkun;ZHANG Yuying;XU Jisong;GAO Chunlei;HE Guohua(Railway Engineering Research Institute,CARS,Beijing 100081,China;State Key Laboratory for Track System of High-speed Railway,Beijing 100081,China)

机构地区中国铁道科学研究院集团有限公司铁道建筑研究所高速铁路轨道系统全国重点实验室

出处《铁道建筑》北大核心 2025年第4期46-49,共4页 Railway Engineering

基金中国铁道科学研究院集团有限公司基金(2024YJ294)。

关键词普速铁路轨道不平顺惯性导航全球导航卫星系统智能优化捣固车前端偏差 normal speed railway track irregularity inertial navigation global navigation satellite system intelligent optimization front end deviation of tamping machine

分类号 U216.3 [交通运输工程—道路与铁道工程]

作者简介第一作者:刘尚昆(1993—),男,助理研究员,硕士。E-mail:18801328152@163.com;通信作者:高春雷(1970—),男,研究员,硕士。E-mail:13910666659@139.com。