Applications, Promises and Challenges of Artificial Intelligence in
Mining Industry: A Review
Abstract
To keep up with the new technology modernization and the profit in shake
of investors and stakeholders and importantly for the nation, and to
ensure health and safety mining industry needs to approve new-age
autonomous technologies and intelligent system in their field.
Integration of Artificial Intelligence, Machine Learning, Internet of
Things (IoT) and Automation are the keys to the 4th revolution in mining
industry. This paper presents the overview of recent research upon
artificial intelligence enhanced techniques and possibilities in mining
operations and mining related domains. There is also a brief about the
recent autonomous techniques and equipment in mining industry.
Implementations and possibilities of artificial intelligence in safety
and accident analysis of mining operations are sincerely detailed.
Computer vision and spatial image analysis is also discussed as the
recent advancement of deep learning and pattern recognition. Other
mining related implementations of intelligent systems includes fragment
analysis of ores, intelligent ventilation, on-site mineral processing
simplification, digital twinning, mineral exploration, mineral price
forecasting, mining equipment selection, post-mining land reclamation
and scheduling. This paper also notes the detailed obstacles for
implementing intelligent systems in mining industry.