Recognition of LHD Position and Maneuvers in Underground Mining Excavations—Identification and Parametrization of Turns

The Inertial Measurement Unit (IMU) is widely used in the monitoring of mining assets. A good example Polish underground copper ore mines KGHM, where research work with use IMU has been carried out for several years. potential inertial sensors was ensured by development advanced analytics using machine learning methods to support maintenance management an extensive park and manufacturer adapting various construction elements conditions. key algorithms developed field data concern: identification cycles components haulage process operations, dynamic overloads, technical diagnostics rotating elements, assessment road conditions (bumps, slopes, damages), condition pavement, operator’s driving style, finally location excavation. One operational contexts, necessary vehicles, turning moment at intersection together determination direction turn angle. In case a mine room-and-pillar system, excavation system Manhattan structure, it possible many simplifications correctly estimate motion path. spatial context maneuver importance both but also multi-dimensional analyzes, including analysis overloads or style safety. article presents comparison mathematical models detection problem, which were trained tested on real-life industrial recorded during single working shift self-propelled machine.