铁路隧道智能型凿岩装备开挖质量测试数据集

主要面向铁路隧道智能凿岩装备性能验证、开挖质量评估及智能施工技术优化。数据集数据基于川藏铁路果拉山隧道的施工场景产生，资料来源为隧道开挖过程中智能型凿岩装备的实测数据。数据集包含川藏铁路果拉山隧道围岩超欠挖点云测量点数据（3组，excel格式），扫描分辨率（2组，las格式）利用车体搭载的LVMS60激光扫描模块进行开挖轮廓的扫描，同时采用徕卡全站仪进行设站测量，建立三维点云模型及超欠挖分析，获取其施工质量控制数据。采集方案为在循环开挖爆破出渣之后，凿岩台车台车开入隧道掌子面处，进行调平，打开车载扫描仪LVMS60，使用后方交会法进行精准定位和设站，车体导航定位完成后逐一扫描循环开挖断面，获得断面扫描数据，通过软件处理后得到断面测量点的坐标；同时采用全站仪后视两个已知标靶点进行设站，完成后进行待测断面测量，获得断面超欠挖测量数据，通过软件处理后得到断面测量点的坐标，对比两次断面的超欠挖值数据，得到围岩超欠挖扫描精度数据。数据集体量达323MB，格式规范且兼容性强。

This dataset is primarily designed for performance verification of intelligent rock-drilling equipment for railway tunnels, excavation quality assessment, and intelligent construction technology optimization. The dataset is generated based on the construction scenario of the Guola Mountain Tunnel on the Sichuan-Tibet Railway, with data sourced from measured data of intelligent rock-drilling equipment during tunnel excavation. The dataset includes 3 sets of point cloud measurement data for surrounding rock overbreak and underbreak (in Excel format) and 2 sets of scanning resolution data (in LAS format) from the Guola Mountain Tunnel on the Sichuan-Tibet Railway. The excavation profile is scanned using the LVMS60 laser scanning module mounted on the vehicle body, while a Leica total station is used for station setting to establish a 3D point cloud model and conduct overbreak/underbreak analysis, thereby obtaining construction quality control data. The data collection procedure is as follows: After cyclic excavation, blasting and mucking, the rock-drilling jumbo is driven to the tunnel face, leveled, and the on-board scanner LVMS60 is activated. Precise positioning and station setting are performed via the rear intersection method. Upon completion of the vehicle's navigation and positioning, the cyclic excavation sections are scanned one by one to obtain section scanning data, and the coordinates of the section measurement points are derived through software processing. Meanwhile, the total station is used to back-sight two known benchmark targets for station setting, followed by measurement of the sections to be tested to obtain section overbreak/underbreak measurement data. The coordinates of the section measurement points are obtained through software processing, and the overbreak/underbreak values of the two sets of data are compared to acquire the scanning accuracy data of surrounding rock overbreak and underbreak. The total size of the dataset is 323 MB, featuring standardized format and strong compatibility.

搜集汇总

背景与挑战

背景概述

该数据集专注于铁路隧道智能型凿岩装备的开挖质量测试，基于川藏铁路果拉山隧道的实际施工场景，通过激光扫描和全站仪测量获取围岩超欠挖点云数据，用于装备性能验证和施工质量控制优化。数据集包含excel和las等多种格式的测量数据，体量达427.02MB，支持智能建造技术的研究与应用。