Ground control failures are one of the main causes of accidents in the underground stone mining industry. Some of the fundamental tools for rockfall hazard identification are related to rock mass characterization and geotechnical discontinuity mapping. Recent technological advances in these methods are related to remote sensing techniques and point cloud processing software for automated discontinuity mapping. Remote sensing techniques, such as LiDAR and photogrammetry, generate multi-million point clouds with millimetric precision, capturing the structure of the rock mass. The automated point cloud processing tools offer alternative algorithm-based methods to characterize and map these discontinuities. However, their applicability is constrained by multiple factors such as site specific conditions of the rock mass and the parameters used within the mapping algorithms. This paper evaluates the performance of automated discontinuity extraction software compared with manual virtual discontinuity mapping. Sampling windows from laser-scanned sections in an underground limestone mine are defined and mapped using discontinuity set extractor (DSE). Results from the virtual discontinuity software are compared with manually extracted fractures from I-Site based on reviewing orientation, trace length, spacing, number of extracted discontinuities, and processing time. The analysis determined that the automated mapping algorithm was able to identify the same discontinuity sets that had been manually mapped. The automated mapping software mapped an excessive amount of smaller fractures, which caused the comparison of both mapping techniques to be unsuccessful in terms of trace length and spacing.

地面控制故障是地下石材开采行业事故的主要原因之一。岩崩危险识别的一些基本工具与岩体表征和岩土不连续性测绘有关。这些方法的最新技术进展与遥感技术和用于自动间断映射的点云处理软件有关。诸如LiDAR和摄影测量法之类的遥感技术以毫米级的精度生成了数百万个点云，从而捕获了岩体的结构。自动化的点云处理工具提供了基于算法的替代方法来表征和绘制这些不连续性。然而，它们的适用性受到多种因素的限制，例如岩体的特定位置条件以及映射算法中使用的参数。与手动虚拟不连续性映射相比，本文评估了自动不连续性提取软件的性能。使用不连续集提取器（DSE）定义和映射地下石灰石矿山中激光扫描部分的采样窗口。根据查看的方向，走线长度，间距，提取的不连续点数量和处理时间，将虚拟不连续点软件的结果与从I-Site手动提取的裂缝进行比较。分析确定自动映射算法能够识别与手动映射相同的不连续集。