基于FME的点云数据生成公路纵横断面解决方案

Solution of Point Cloud Data Generating Road Longitudinal and Cross Section Based on FME

为解决传统公路纵横断面测量效率不高、精度较低的问题,提出了一种以LiDAR为外业数据采集手段,利用FME编写解决方案实现内业数据自动处理并完成纵横断面提取的方法,并在实际工程应用中进行了可行性验证。首先介绍了传统测量手段的不足和新技术的优势,再分析了纵横断面测量的相关要求,然后利用FME编写了一套从DWG设计线、桩号和左右宽数据、点云LAS数据中自动提取纵横断面数据的程序,最后分析了该方法在测量效率、精度、流程等方面的优势,为基于点云数据的公路纵横断面测量提供了有益参考。

In order to solve the problem of low efficiency and low accuracy of traditional road longitudinal and cross section measurement,we proposed a method of taking LiDAR as field data acquisition method,using FME to compile a solution to automatic processing data and extract longitudinal and cross sections,and carried out feasibility verification in practical engineering applications.Firstly,we introduced the shortcom-ings of traditional measurement means and the advantages of new technology,and analyzed the relevant requirements of longitudinal and cross section measurement.Then,we used FME platform to compile a program that could automatically extract longitudinal and cross section data from DWG design line,pile number,left-right width data and point cloud LAS data.Finally,we analyzed the advantages of this method in terms of measurement efficiency,accuracy and process,which could provide a useful reference for road longitudinal and cross section measurement based on point cloud data.