湖贝-黄贝岭（下行）三维激光扫描报告

本数据集主要面向地铁隧道病害检测研究、地铁安全运维需求，对深圳地铁2号线湖贝站-黄贝岭站下行区间的隧道几何特征及病害情况等开展监测，通过人工调查、三维激光扫描仪、高清相机等，主要观测了地铁隧道三维激光点云模型、隧道衬砌高清图片等数据，为地铁隧道几何形态分析及表面裂缝、渗漏水等病害分析提供数据基础，数据量2.87GB。同时，数据集同步至课题的地下基础设施智慧平台，为平台提供基础数据支撑，通过平台集成的相关自动化检测模块，对地铁隧道的运行安全做出分析预警，从而保障地铁安全运维。

This dataset is primarily targeted at research on subway tunnel defect detection and the demands of subway safety operation and maintenance. It focuses on monitoring the geometric features and defect conditions of the downbound tunnel section between Hubei Station and Huangbeiling Station of Shenzhen Metro Line 2. Data was collected via manual inspections, 3D laser scanners, high-definition cameras and other means, mainly including 3D laser point cloud models of subway tunnels and high-definition images of tunnel linings. This dataset provides a fundamental data basis for the analysis of subway tunnel geometric morphology and defect analysis such as surface cracks and water seepage, with a total data volume of 2.87 GB. Meanwhile, this dataset is synchronized to the intelligent underground infrastructure platform of the research project, offering basic data support for the platform. Through the automated detection modules integrated within the platform, safety analysis and early warning can be performed for the operational safety of subway tunnels, thereby ensuring safe operation and maintenance of the subway.

搜集汇总

背景与挑战

背景概述

该数据集是针对深圳地铁2号线湖贝站至黄贝岭站下行区间隧道，通过三维激光扫描和高清摄像采集的监测数据，主要包括隧道三维激光点云模型和衬砌高清图片，数据量约2.87GB。它旨在支持地铁隧道病害检测和安全运维研究，为几何形态分析及裂缝、渗漏水等病害分析提供基础数据，并集成到地下基础设施智慧平台以实现安全预警。数据集来源于国家重点研发计划项目，具有明确的工程应用价值。