Estimating Energy Consumption of Mine Fans in Underground Mines in Case of Uncertainty of Fan Influence Zones

The article presents an algorithm of automated determination of fan influence zones under conditions of their dynamic change. The use of fuzzy logic enables stabilization of crossing influence zones of fans and allows compensating impossibility of their strict differentiation when determining the most difficult-to-ventilate direction. The solution to the problem of the real-time air distribution control in a mine ventilation network is stable and close to optimality. The practical relevance of the proposed fan control algorithm and the correctness of the formulas are proved by the result of simulation modeling of automated ventilation control operation in mine 4RU of Belaruskali.