基于WOA的矿井风量优化调节方法  

Optimal adjustment method of mine ventilation air volume based on WAO

作　　者：刘永立 陈前 Liu Yongli;Chen Qian(School of Mining Engineering,Heilongjiang University of Science&Technology,Harbin 150022,China)

机构地区：[1]黑龙江科技大学矿业工程学院,哈尔滨150022

出　　处：《黑龙江科技大学学报》2023年第4期475-480,共6页Journal of Heilongjiang University of Science And Technology

基　　金：黑龙江省“百千万”工程科技重大专项项目(2020ZX04A01);黑龙江省科技厅专项项目(2021ZXJ02A03)。

摘　　要：为研究矿井风量优化调节技术实现井下某用风地点的需风要求,提出一种根据非线性约束模型,选择不同调节分支的矿井风量优化调节方案。以矿井通风网络需风分支风量为目标函数,结合风量平衡和风压平衡等约束条件,建立非线性优化数学模型,通过对风网灵敏度矩阵的计算求解,得出最优的可调分支集和阻调节范围,基于鲸鱼优化算法优化矿井风量调节结果。结果表明,鲸鱼优化算法的矿井网络优化方法在寻优性能和稳定性方面表现优越,需风分支的风量可上调度为50.8%,可用于矿井风量的优化调节。This paper aims to study the mine air volume optimization and regulation technolog to meet the wind in need at a wind location underground,and proposes a mine air volume optimization adjustment scheme for different adjustment branches according to the nonlinear constraint model.The study taking the air volume of the wind demand branch of the mine ventilation network as the objective function involves establishing a nonlinear optimization mathematical model combined with the constraints of air volume balance and wind pressure balance;achieving optimal adjustable branch set and adjustable branch wind resistance adjustment range by calculating and solving the wind network sensitivity matrix;and optimizing the mine air volume adjustment results based on the whale optimization algorithm.The results show that the mine network optimization method of whale optimization algorithm has superior performance in optimization performance and stability,and the air volume of the wind demand branch can be upscheduled to 50.8%,which can be used for mine air volume optimization and adjustment.

关 键 词：矿井通风 灵敏度 鲸鱼优化算法 通风网络优化 

分 类 号：TD724[矿业工程—矿井通风与安全]