Mine Ventilation Optimization Design Based on Improved Harmony Search

Based on the air distribution request of the mine ventilation network, carries on the optimized computation to the mine ventilation system network´s nonlinear programming mathematical model using harmony search, uses penalty functions method carries on transformation to the constraint equation, fuses the dynamic perturbation and the simulated annealing to improve the harmony search algorithm, the improved harmony search algorithm enhances the convergent speed, has overcome certain limitations of the traditional ventilation network optimizing control algorithm. Through solving the optimized model of the ventilation network, the simulation result shows that the overall energy consumption of the optimized single-fan ventilation system has a decrease of 1. 64 kW, with a decreasing rate of 1.94%, and the overall energy consumption of the optimized multiple-fan ventilation system has a decrease of 9.3965 kW, with a decreasing rate of 3.57%, has obtained the good optimized result.