铁路轨道线形智能分段

轨道实测线形分段是不平顺检测计算的首要步骤。针对当前铁路线形分段主要依据正矢或曲率的现状,提出一种基于轨道姿态角的线形分段方法;即将GNSS/INS组合测量系统提供的轨道姿态角信息和轨道各元线形固有的几何特征结合起来进行分段。对比实测数据分段结果和轨道设计文件,平面和纵断面线形分界点里程识别误差均不大于6 m,证明该线形分段方法行之有效。

Linear Segmentation of Railroad Track Lines

The measured linear segmentation is the first step of irregularity detection calculation. Considering the current method are mainly on the basis of versine or curvature, this paper propose a new method of linear segmentation according to the attitude measurement data, which combines the GNSS/INS measured attitude data with the inherent geometrical characteristics of the railroad to segment. Compared with the design parameters of the railroad track, the identification error of the demarcation point of the plane railway track and the longitudinal railway track are both no more than 6 meters in this paper. The experiment result shows that the method for segmentation is effective.