IA applied to the operation
Advanced analytics and Artificial Intelligence
We integrate IoT, telemetry and ML for predict failures, optimize routes and stabilize plant. Real-time decisions with measurable impact on cycle, energy, and recovery.
Models are used in Machine Learning to identify new points of optimum operation in processing plants, which increases the recovery of copper, even with a law of head reduced.
Implemented systems of predictive control based on AI to optimize the power of the mills, which reduces the energy consumption and increase the production.
Using vibration analysis and sensors loT to predict failures in mining equipment, which reduces unplanned downtime and increases the life of the equipment.
Apply techniques of machine learning and analysis of geological data to identify potential areas of mineralization, which increases the efficiency of the exploration and reduces costs.
Systems are used for optimization of routes for haul truck-based, which reduces the cycle time of mine between 5% and 12%.
