基于麻雀搜索的高瓦斯矿井下通风网络风量优化  

Air Volume Optimization of Ventilation Network Under High Gas Mine Based on Sparrow Search

作　　者：尤晨 YOU Chen(Shaanxi Coal Huangling Mining Group Co.,Ltd.,Huangling 727307,China)

机构地区：[1]陕西陕煤黄陵矿业有限公司一号煤矿,陕西黄陵727307

出　　处：《电工技术》2025年第4期102-104,共3页Electric Engineering

摘　　要：为实现高瓦斯矿井下通风网络风量优化目标,保障矿井的安全生产,提高资源利用效率和经济效益,利用麻雀搜索算法,开展了高瓦斯矿井下通风网络风量优化研究。首先,建立高瓦斯矿井通风网络数学模型,获取高瓦斯矿井下风流流量与阻力间的关系、瓦斯浓度随时间的变化。其次,根据矿井的通风网络图,在进风口和出风口间安装差压传感器,测定矿井通风阻力。最后,利用麻雀搜索算法,定义适应度函数,通过迭代寻优获取通风网络风量调节的最优方案,优化矿井下通风网络风量。实验结果表明,该方法可以将矿井下的瓦斯浓度降到安全阈值范围内,且在优化通风网络风量的同时,可以显著降低能源消耗,可行性较高。In order to achieve the air volume optimization goal of ventilation network under high gas mine,ensure the safety of mine production,improve resource utilization efficiency and economic benefits,the sparrow search algorithm was used to carry out the air volume optimization research of ventilation network under high gas mine.Firstly,the mathematical model of ventilation network in high-gas mine is established to obtain the relationship between the flow and resistance of the downflow and the change of gas concentration with time.Secondly,according to the ventilation network diagram of the mine,the differential pressure sensor is installed between the inlet and outlet to measure the ventilation resistance of the mine.Finally,the sparrow search algorithm is used to define the fitness function,and the optimal scheme of ventilation network air volume regulation is obtained through iterative optimization,so as to optimize the ventilation network air volume under mine.The experimental results show that after the application of this method,the gas concentration under the mine can be reduced to the safety threshold range,and the energy consumption can be significantly reduced while the air volume of the ventilation network is optimized,which is highly feasible.

关 键 词：麻雀搜索 高瓦斯矿井 通风网络 风量 

分 类 号：TD724[矿业工程—矿井通风与安全]