Provider: Geoapp s.r.l.
Nowadays most large open pit mines have sophisticated systems in place for near real-time slope monitoring. Despite the availability of massive datasets of monitoring data, negative events associated with slope failures, having in some cases strong impact on mine safety and productivity, are still occurring in surface operations. A limited exploitation of the available information, due to difficulties faced by site staff in the aggregation and interpretation of monitoring data plays a crucial role.
The objective of this project is to develop a methodology to support mine site engineers in the daily task of interpreting monitoring data aimed at identifying potential failure events, mechanisms and setting up alarm thresholds. The proposal is based on the integration of 3D Kinematic Analysis, a novel approach for kinematic analysis proposed by the investigators, generated from rock mass structural data extracted from high-resolution LiDAR point clouds with radar monitoring data. The resulting methodology, aimed at facilitating the interpretation of the failure mechanisms of structurally controlled slope movements and at calibrating alarm thresholds, can support the daily decision-making process of geotechnical practitioners dealing with slope movements in their pits. Moreover, the project will allow the LOPII sponsors to evaluate the possible benefit introduced by the proposed 3D kinematic analysis for the identification of critical areas prone to fail. The objective of this research project is to develop a method to support geotechnical engineers in large open pits in the daily interpretation of slope monitoring data and in the set-up of alarm thresholds.