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湖贝-黄贝岭(上行)三维激光扫描报告

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国家基础学科公共科学数据中心2024-03-05 收录
下载链接:
https://www.nbsdc.cn/general/dataDetail?id=64ef846abb16e0591d02513a&type=1
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资源简介:
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-黄贝岭站上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2.08GB。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 designed for metro tunnel defect detection research and metro safety operation and maintenance needs. It conducts monitoring on the tunnel geometric features and defect conditions of the upbound section between Hubei Station and Huangbeiling Station on Shenzhen Metro Line 2. Data including 3D laser point cloud models of metro tunnels and high-definition images of tunnel linings were collected through manual inspection, 3D laser scanners, high-definition cameras and other methods. This dataset provides a fundamental data basis for the analysis of metro tunnel geometric morphology and defects such as surface cracks, water seepage and leakage, with a total data volume of 2.08 GB. Meanwhile, the dataset has been synchronized to the intelligent underground infrastructure platform of the research project, offering basic data support for the platform. Through the automated detection modules integrated on this platform, analysis and early warnings can be implemented for the operation safety of metro tunnels, thereby ensuring the safe operation and maintenance of the metro.
提供机构:
深圳大学
搜集汇总
数据集介绍
main_image_url
背景与挑战
背景概述
该数据集是深圳地铁2号线湖贝站-黄贝岭站上行区间的三维激光扫描报告,主要用于地铁隧道病害检测和安全运维研究,通过三维激光扫描仪和高清相机采集了隧道点云模型和高清图片,数据量约2.09GB,包含1210个文件,支撑国家重点研发计划项目的地下基础设施智慧平台。
以上内容由遇见数据集搜集并总结生成
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