State of the art of artificial intelligence in mining and milling industry

Challenge the practice is addressing: Intelligent systems which have emerged from the field of Artificial Intelligence are currently being reviewed as software tools for mining companies to deal with the pressure of globalization and environmental standards. The use of intelligent technologies has been integrated well into the mining industry in form of algorithms, artificial networks and agent-based softwares.

Concrete practice to achieve the expected goal: The implementation of control tools created by genetic and evolutionary algorithms helps to control and optimize the process of crushing plants while constantly considering variables such as weather, equipment water and natural variations of rock material properties in the feed. This application could happen in two ways: by using a simulation software or installing sensors on the plant.

Expected impact/goal of the practice: The expected impact of the implemented algorithms was not only to remain sustainable but to optimize and increase the production rate and to eventually reduce the energy consumption and the produced waste.

Who is the target user group of the practice/intervention or implementing the practice/intervention? The practice is relevant to companies.