基于三维激光扫描成像的隧道施工开挖面分析

项目名称： 基于三维激光扫描成像的隧道施工开挖面分析

项目编号： No.51478394

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 建筑科学

项目作者： 冷彪

作者单位： 西南交通大学

项目金额： 80万元

中文摘要： 在隧道工程施工过程中，掌子面及周边开挖面上具有丰富的地质信息，通过分析可用于围岩分级，指导设计和施工。但目前对开挖面上地质情况的分析极为有限。本课题基于三维激光扫描获得的隧道施工开挖面三维点云数据，通过曲面拟和、动态聚类等算法分析，实现对开挖面上的结构面的识别；根据开挖面三维图形生成开挖面投影数字图像，实现对结构面迹线的识别；结合三维结构面及二维结构面迹线的识别结果，相互映证，进一步识别和提取出隧道开挖面上的结构面及其产状等信息。根据各相邻开挖面上识别的主要结构面迹线及其产状信息，通过算法分析，自动预测和建立结构面迹线的对应关系，从而建立起隧道开挖区域的三维结构面，在此基础上，通过曲面拟和，识别和预测隧道掌子面前方及周边一定范围内的岩层结构面。

中文关键词： 隧道工程；隧道掌子面；三维激光扫描；图像处理；结构面

英文摘要： During tunnel construction, there is abundant geology information on the surface of tunnel face and surrounding excavation surface, which is able to be adopted to surrounding rock classification, guide design and construction through analysis. Unfortunately, currently, the analysis concerning excavation surface is very limited. In this project, based on the three dimensional cloud data of tunnel excavation surface obtained by three dimensional laser scanning, through surface fitting, dynamic clustering algorithm, etc, the structural surface recognition of excavation area is achived; According to the projective image of excavation surface three dimensional graph, sturctural surface traces are recognized; Combining three dimensional structural surface and its' corresponding two dimensional structural surface traces, through mutual reflection, the structural surface and its' occurrence of tunnel excavation surface are further recognized and extracted. In terms of the main structural surface traces and its' occurrence information recognized from all neighboring excavation surface, through algorithm analysis, the corresponding relationship of adjacent structural surface traces are predicted and built. Thus, the three dimensional structural surface of tunnel excavation area is built. According to this, through surface fitting, the rock's structural surface in front of tunnel face and peripheral area is able to be recognized and predicted in a certain range.

英文关键词： tunnel engineering;tunnel face;three dimensional laser scanning;image processing;structural surface