隧道衬砌内轮廓变形检测数据集

本数据集采集来自深圳地铁五站三区间的实地数据，该数据集可实现地铁隧道结构变形及错台等病害检测。
本数据产生方法为：通过网隧限一体化巡检机器人上的三维激光扫描仪获取隧道表面三维点云数据，通过惯性导航系统和编码器获得检测装置位置和姿态信息，通过点云处理软件对扫描仪数据进行预处理、拼接、融合形成隧道表面三维模型，通过病害检测软件发现地铁隧道结构变形和错台信息。数据量达到31.2GB。

This dataset contains field-collected data from five stations and three sections of Shenzhen Metro, and enables the detection of subway tunnel structural defects such as deformation and misalignment.
The data generation workflow is as follows: 3D point cloud data of the tunnel surface is acquired by a 3D laser scanner mounted on an integrated tunnel inspection robot with boundary limit detection and patrol functions; the position and attitude information of the detection device is obtained via an inertial navigation system and encoders; the scanner-collected data is preprocessed, stitched and fused using point cloud processing software to create a 3D model of the tunnel surface; and subway tunnel structural deformation and misalignment information is identified using defect detection software. The total data volume amounts to 31.2 GB.

搜集汇总

背景与挑战

背景概述

该数据集是一个用于隧道衬砌内轮廓变形检测的专业数据集，采集自深圳地铁五站三区间的实地数据，旨在检测地铁隧道结构变形和错台等病害。数据集通过三维激光扫描仪获取点云数据，并利用处理软件生成隧道表面三维模型，数据量约为31.2GB（元数据中标注为254.64MB），适用于摄影测量与遥感技术领域的应用。