Weir’s Head of Data and AI, Kenneth Ulrich, outlines how the company’s NEXT Intelligent Solutions platform uses machine-learning models to optimise mineral processing plant performance in real time. By combining sensor-rich equipment data from Weir comminution circuits with digital twins of crushers, screens and pumps, the system can predict wear, adjust operating setpoints and flag impending failures before they hit throughput. Ulrich points to continuous model retraining on live plant data as critical for coping with ore variability and changing operating conditions.

REMA TIP TOP has launched MCube RFP Mobile 2.0, an upgraded mobile condition monitoring system targeting conveyor rollers, where around 75% of mechanical faults on conveyor systems originate. The tool uses sensor-based roller measurements and structured inspection workflows to capture precise vibration and temperature data in the field, feeding it into a central MCube platform. For mine operators, this enables earlier detection of failing idlers, more targeted shutdown planning, and better prioritisation of belt walkdowns on long overland and plant conveyors.

Sandvik has launched xCell Banshee and xCell Hydra digital ground support tools at the ACG Caving Conference 2026 in Ulaanbaatar, Mongolia, targeting real‑time insight into rock bolt performance and ground behaviour in cave and hard‑rock mines. The systems use instrumented bolts and connected sensors to capture load and deformation data, enabling engineers to track support performance over time rather than relying solely on periodic visual inspections. Sandvik positions the tools within its existing digital ground support portfolio, signalling further integration with mine monitoring and data platforms.