This thrust uses equipment measurements to understand how mechanised mining machines are being used, how well they are performing and how their condition is changing. RAMMS combines condition monitoring, physics-based models, machine intelligence and operational data to make that evidence interpretable.
Digital twins are a recurring implementation framework. Rather than static digital replicas, the twins are synchronised with measurements and directed toward an actionable intervention: safer braking, better maintenance, improved productivity or more reliable navigation.
Research spans LHD and engine models, machine vision, terrain-aware traction estimation, shaft-conveyance dynamics, conveyor systems and fault-sensitive equipment models. Those digital twins also feed the other two thrusts with better representations of machine capability and rock-machine interaction.