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The challenges workers face in underground mines are numerous and hazardous, with potential threats to their safety and well-being. Mining accidents are caused by various factors, including hardware errors and environmental deficiencies. In response to these hazards, the mining industry has made significant efforts to improve safety through the implementation of advanced technologies. Artificial Intelligence (AI) technology has been notably integrated into mine ventilation systems in recent years. A ventilation network in a mine is a sophisticated system with many interdependent processes, some of which present difficulties for deterministic simulation techniques. This paper aims to discuss major hazards caused by ventilation and provide an overview of various AI advances in mine ventilation to monitor various environmental parameters such as gas concentrations and heat.
Otmani et al. (Wed,) studied this question.