Leveraging Data-Driven AI to Optimize Mining Operations

Abstract

The urgent need to address challenges regarding safety, efficiency, and sustainability in the mining industry has consistently driven the integration of advanced technologies into operational decision-making. The advent of Artificial Intelligence (AI) and Machine Learning (ML) is rapidly gaining its prominence in the Mining Industry. Today, mining operators are gradually optimizing their operational approach, leveraging AI enhancement in their decision-making process through the integration of sensor data, geospatial data, satellite imagery data, and more. Sensor-generated data helps identify performance trends and equipment health, while geospatial data provides insights into topographical constraints and mineral-rich zones. The applications of AI and ML models allow the extraction of valuable geospatial intelligence, essential for optimizing mining strategies and resource allocation. Leading global mining companies are beginning to adopt such practices, including predictive maintenance, equipment automation, smart mine planning, and Health, Safety, and Environment (HSE) initiatives.