Engineering Commons^™

A Mine Main Fans Switchover System With Lower Air Flow Volatility Based On Improved Particle Swarm Optimization Algorithm, Hengqing Ge, Guang Xu, Jinxin Huang, Xiaoping Ma

Mining Engineering Faculty Research & Creative Works

A reliable ventilation system is essential for maintaining a comfortable working environment and ensuring safety production in an underground coal mine. The automated fan switchover technique was developed for changing the main fan for maintenance with lower air flow volatility of underground mine in the switchover process. This article established the optimization model in the main fans switchover process, used the improved particle swarm optimization algorithm to solve the model, and achieved minimum air flow volatility in the fans switchover process. Compared to previous studies, computer simulations have shown that the proposed algorithm can effectively find the global optimal solution …