This paper addresses the safety production requirements of coal mine shafts by proposing a ventilation system design and implementation scheme based on reinforcement learning. Initially,the overall architecture of the mine ventilation system is meticulously designed,followed by an in-depth exploration of the application of reinforcement learning technology in the optimization and control of the ventilation system,including key algorithms and strategies. A simulation platform is constructed to systematically verify the proposed scheme. The results indicate that,compared with traditional PID control methods,the ventilation system presented in this paper can significantly reduce the risk of accidents,achieving energy saving and efficiency enhancement,promoting the intelligent and green development of the coal industry.
关键词
强化学习/煤矿矿井/通风系统
Key words
reinforcement learning/coal mine shaft/ventilation system
维普
万方数据