OasisLMS

Abstract: Despite the use of modern technology, many mining machines still lack sensor-based monitoring and built-in intelligence. By retrofitting such equipment with sensors and implementing real-time data processing, these machines can be integrated into existing digital infrastructures. Within the EU-funded project Mine.io, a Sandvik DE110 exploration drill rig is being digitally upgraded at the "Forschungs- und Lehrbergwerk (FLB)" research and education mine of TU Freiberg. The objective is to enhance drilling productivity through real-time assessment of both the geological conditions and the current maintenance status of the rig. The drill rig is equipped with additional sensors, including a rotational speed sensor, hydraulic pressure sensors, a 3-axis vibration sensor, a borehole depth sensor, and a temperature sensor— installed without requiring structural modifications to the machine. Data collected by these sensors are transmitted to an off-site server infrastructure, where AI algorithms are employed to classify the rock type (ore or host rock) and enable predictive maintenance. The analyzed data are visualized for the operator in real time, supporting workflow optimization and improved operational efficiency.

Max Friedemann; Sohan Singh Rajpurohit

International Conference Proceedings