Mine Airflow Optimizing Control Based on Harmony Annealing Search

Abstract

Mine fire not only brings about great loss of coal resources and damage the whole mining system, but also causes the massive personnel casualty. Based on the air distribution request of the mine ventilation network, solves airflow quantitative optimizing control to the mine ventilation system network's nonlinear programming mathematical model using harmony annealing search, fuses the dynamic perturbation and the simulated annealing to improve the original harmony search algorithm, new harmony annealing search algorithm enhances the convergent speed, has overcome certain limitations of the traditional ventilation network optimizing control algorithm, obtains ventilation system's globally optimal solution, has provided a scientific and reliable basis to develop disaster prevention and processing.