Resource Exploration and Geological Modeling

Geological data captured by technologies like airborne and down-hole sensors, coupled with geophysical survey techniques powered by advanced modeling software, is transforming mineral and resource exploration. High-resolution 3D geological models accurately map ore bodies and locate new deposits remotely. Spectrometers analyze core samples to identify mineralogy and grade in real-time. Advanced seismic imaging techniques map subsurface rock structures. All this data fuels sophisticated algorithms that analyze patterns to predict extension and concentration of ore zones with a high degree of certainty. This significantly improves discovery success rates and ensures new mines are established in the most optimal locations from the start.

Drone-Based Stockpile Management

Drones equipped with advanced sensors and computer vision are streamlining stockpile management. They autonomously map and survey large stockpiles to create high-resolution 3D models indicating volume, shape and density variation. Thermal and hyperspectral sensors analyze material composition and contamination levels. This granular data, Smart Mining combined with loading/unloading records, provides an accurate estimate of current inventory and enables optimized planning of mining, hauling, processing and shipping logistics. Drones continuously monitor stockpiles to detect hotspots, erosion, compaction and surrenders. They can also guide automation to maintain optimal pile geometry during rehandling. This brings unprecedented visibility, consistency and quality control to stockpile management processes.

Intelligent Mining Equipment

Mining Original Equipment Manufacturers (OEMs) like Caterpillar, Komatsu and Hitachi are engineering intelligence directly into mining machinery. Next-gen trucks, excavators, drills and other loaders come equipped with advanced sensing, powerful computation and always-on connectivity. Onboard diagnostics continuously monitor over 2000 working parameters to detect anomalies and predict maintenance needs. Electrified autonomous hauling systems optimize routes to improve cycle times using real-time production data. Drones scout ahead to redirect equipment, avoiding delays. Automated processes like load and dump operations minimize human intervention risks. The enhanced machines transmit operational data in real-time for remote monitoring and analytics. This delivers higher asset utilization, greater safety and optimizes total cost of ownership over the equipment’s lifecycle.

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