report

A traction-estimation digital twin in mechanised mining

A detailed RAMMS case study of real-time traction estimation, slip prediction and terrain-change detection on a skid-steered ultra-low-profile mining platform.

The report documents the design, calibration and surface testing of a digital twin developed with CMTI Group’s ultra-low-profile platform. It combines force and traction estimation with algorithms for slip prediction and terrain-change detection.

The full PDF includes the modelling assumptions, sensor and test configuration, validation results, implementation findings and a roadmap from the tested platform toward a scalable simulation digital twin.