基于“管网解算-遗传算法寻优”的瓦斯抽采管网优化技术

Optimization technology of gas extraction pipe network based on “pipe network solving-genetic algorithm optimization”

为实现矿井瓦斯抽采管网管径优化方案智能决策,基于图论原理构建瓦斯抽采管网图论模型,以管网瓦斯-空气混合流动模型为基础,实现具体管径管网解算;以最小管网投资为目标函数,管径为决策变量,建立瓦斯抽采管网管径优化模型;基于整数编码的遗传算法,得到了刘庄煤矿西侧抽采区域管径优化方案。结果表明:通过遗传算法优化后的管径组合在经济性和抽采效果上都优于流速法,优化后抽采端的抽采负压满足抽采要求,管网成本减少48.3万元。

In order to realize the intelligent decision-making of the pipe diameter optimization scheme of the mine gas extraction pipe network,the gas extraction pipe network diagram theory model is constructed based on the principle of graph theory,and the specific pipe diameter pipe network is solved based on the gas-air hybrid flow model of the pipe network.Taking the minimum pipe network investment as the target function and the pipe diameter as the decision-making variable,the pipe diameter optimization model of the gas extraction pipe network is established.Based on the genetic algorithm of integer coding,the pipe diameter optimization scheme of the extraction area on the west side of Liuzhuang Coal Mine was obtained.The results show that the combination of pipe diameter optimized by genetic algorithm is better than the flow rate method in terms of economy and extraction effect,and the negative pressure of extraction at the extractive end after optimization meets the extraction requirements,and the cost of pipe network is reduced by 483,000 yuan.