APPLICATION OF ARTIFICIAL INTELLIGENCE IN PREDICTING ROCK FRAGMENTATION AND DESTRUCTION DYNAMICS

Abstract

The efficiency of rock fragmentation processes in industries such as mining and drilling holds paramount importance due to its direct impact on operational costs, safety, and productivity. Traditional approaches to predicting rock fragmentation rely on empirical and mechanical methods that often lack flexibility and precision. The advent of AI and machine learning has introduced new opportunities to enhance the predictability and control of rock destruction, offering more responsive, adaptable solutions.