Underground Geotechnical Monitoring and Analysis using Mobile Laser Scanning and Enhanced Voxels

Multi-epoch Mobile Laser Scanning Systems (MLS) can enable frequent, mine-wide underground geotechnical monitoring. Geotechnical data, e.g. geological structures and rock mass quality, are ideal meta-data candidates to contextualize changes detected in MLS data. Current data processing methods are not optimally suited for integrated analysis of high-volume, low precision MLS and heterogeneous, uncertain geotechnical data. This presentation will introduce our MLS -data-based geotechnical change detection framework and meta-data-enhanced voxels. Lukas will present field data to demonstrate how this approach is utilized to improve change detection and geotechnical analysis. He is excited to discuss opportunities for integrating other data and future applications of this framework. Lukas Fahle is a PhD candidate at the Mining Engineering Department of the Colorado School of Mines. His collaborative research focuses on the development of a novel computational framework to improve the efficiency and accuracy of minescale geotechnical monitoring and analysis. With a strong background in innovative mining and geotechnical projects, Lukas is committed to contributing to safer and more efficient mining practices.