Monitoring during mining
Slope stability monitoring during mining: link piezometers, inclinometers and crackmeters to a platform like Worldsensing so AI flags abnormal trends.
Eigenform AI Geo Tooltips
Monitoring Reports
AI-generated mine monitoring reports come built into slope radar and InSAR platforms like IDS GeoRadar and SkyGeo, produced straight from live sensor data.
Muon Tomography: AI-Powered Ore Body Imaging with REVEAL
Muon tomography with Ideon's REVEAL uses AI-assisted inversion to turn cosmic-ray muon data into a 3D density model that refines ore body geometry.
Operational Variability & Plant Integration
Manage plant variability with AI: connect a digital twin or a platform like Imubit to your DCS historian to flag drift from the design model in real time.
Ore Sorting
AI ore sorting puts a sensor-based sorter from TOMRA or Steinert ahead of the mill, where classification software picks which rocks to reject.
Ore Sorting Technologies
Choose ore sorting sensors by what separates your ore from waste, then let AI fuse the signals. Steinert KSS and TOMRA offer XRT, NIR and laser options.
Permitting
AI won't file mine permitting applications, but ESG platforms like Ecodrisil ESG Xpress turn monitoring data into audit-ready documents much faster.
Petrography
Automated petrography trains a convolutional neural network on digitized thin-section images (PPL and XPL) to classify rock types and mineral grains.
Predicting Comminution Parameters (BWI, DWI, Ai) with Machine Learning
Predict comminution parameters (BWI, DWI, Ai) with ML: run cheap proxy tests like hyperspectral or Leeb hardness on most samples, lab tests on the rest.
Predicting Geotechnical & Recovery Variables in Your Block Model with ML
Block model machine learning: train regressors on lab results (RQD, PLT, BWI/DWI, clays, recovery), then krige predictions into every block model cell.