应用移动技术测量小豆洼盐矿顶板的准确性

IF 0.3 Q4 REMOTE SENSING Reports on Geodesy and Geoinformatics Pub Date : 2024-03-23 DOI:10.2478/rgg-2024-0007
Ewa Joanna Świerczyńska, Damian Kurdek, Iwona Jankowska
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引用次数: 0

摘要

由于地质条件和持续采盐,"Kłodawa "盐矿需要进行一系列测量,以记录腔室几何形状的变化速度。循环测量是在地下几百米的艰苦条件下进行的。因此,用于确定正在进行的夹持参数的测量方法不仅要精度高,还要能抵御浓密的粉尘(在活跃的采矿区)和强烈的阵风(通风井附近)。本文介绍的研究涉及现代技术在矿井条件下提供解决方案的可能性分析。测试测量是在观测站进行的,使用的是用金属销固定的线性基座。基点位于 "Kłodawa "盐矿 1 号矿场 600 米深处的过道、顶棚和硐室底部。使用 Leica RTC360 3D 激光扫描仪和两台移动设备获取了绘制对象的点云:摩托罗拉 G100 智能手机和 iPad Pro 配备了使用 Pix4Dcatch 应用程序的激光雷达技术。徕卡 RTC360 3D 激光扫描仪的点云精度是通过与使用徕卡 Disto 激光测距仪进行的传统测量进行比较后确定的。通过基于皮尔逊相关系数和交叉相关的统计分析,对智能手机点云的重复性和精确度进行了检验。此外,还尝试对获得的误差与两个参数(图像数量和物体大小)之间的相关性进行近似分析。
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Accuracy of the application of mobile technologies for measurements made in headings of the Kłodawa Salt Mine
The “Kłodawa” salt mine, due to geological conditions and continuous salt extraction, is subject to a range of measurements documenting the speed of changes in the geometry of the chambers. Cyclic surveys are conducted under challenging conditions several hundred metres underground. Consequently, measurement methods used for determining the parameters of the ongoing clamping should be of high precision but also be resistant to dense dust (in fields of active mining) and strong gusts (near ventilation shafts). The research presented here concerns the analysis of the possibilities of solutions offered by modern technologies in mine conditions. Test measurements were conducted at observation stations using linear bases stabilized with metal pins. The base points were located in the aisles, ceiling, and bottom of the chamber in Field 1 of “Kłodawa” salt mine at the depth of 600m. Point clouds mapping the object were acquired using a Leica RTC360 3D laser scanner and two mobile devices: Motorola G100 smartphone and iPad Pro with LiDAR technology using the Pix4Dcatch application. The accuracy of the point cloud from the Leica RTC360 3D laser scanner was determined by comparing it with classic measurements taken with a Leica Disto laser rangefinder. The repeatability and accuracy of the point cloud from a smartphone were examined using statistical analysis based on Pearson’s correlation coefficient and cross-correlation. An attempt was also made to approximate the correlation between the obtained errors and two parameters: the number of images and the size of the object.
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来源期刊
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28.60%
发文量
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审稿时长
12 weeks
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