工矿自动化2026，Vol.52Issue(7)：75-84,10.DOI:10.13272/j.issn.1671-251x.2026050070
基于MSCALA的矿井巷道需风量调节方法
Method for regulating required airflow in mine roadways based on MSCALA
摘要
Abstract
To address insufficient precision in determining ventilation resistance adjustment ranges and the susceptibility of coordinated multi-branch airflow regulation to disturbance-induced imbalance in conventional required-airflow regulation for mine roadways,this study proposed a method for regulating required airflow in mine roadways based on the Multi-Strategy Collaborative Artificial Lemming Algorithm(MSCALA).An on-demand airflow optimization and regulation model was established with airflow in the target air-demand branch as the objective.An exact penalty function method was used to transform constraints during optimization,and airflow sensitivity theory was used to select the resistance-adjustment branch set and determine reasonable ventilation resistance adjustment ranges.MSCALA,developed by incorporating a good point set population initialization strategy,a strategy combining an adaptive weight factor and a nonlinear escape coefficient,an Artificial Bee Colony global exploration strategy,and a Cauchy mutation strategy into the Artificial Lemming Algorithm(ALA),was then used to determine the optimal ventilation resistance adjustment value for each resistance-adjustment branch,thereby achieving precise airflow regulation.Experimental results showed that when the gas concentration in the air-demand branch exceeded the limit,the maximum airflow optimized by MSCALA for the target branch reached 7.01 m3/s,66.11％higher than the initial airflow of 4.22 m3/s.MSCALA outperformed comparison algorithms including ALA,the Dung Beetle Optimizer,the Black-Winged Kite Algorithm,and the Enhanced Adaptive Lemming Algorithm in global search capability,convergence speed,and optimization performance.The method enables rapid,precise,and dynamic regulation of airflow in air-demand branches and effectively addresses insufficient airflow when the gas concentration exceeds the limit.关键词
矿井通风网络/通风网络解算/风量调节/风量灵敏度/多策略协同人工旅鼠算法Key words
mine ventilation network/ventilation network calculation/airflow regulation/airflow sensitivity/Multi-Strategy Collaborative Artificial Lemming Algorithm分类
矿业与冶金引用本文复制引用
贾慧霖,吴海军,李广军,聂建新,周鑫..基于MSCALA的矿井巷道需风量调节方法[J].工矿自动化,2026,52(7):75-84,10.基金项目
国家重点研发计划项目(2022YFC3004701) （2022YFC3004701）
江苏省应急管理科技项目(2025YJ001) （2025YJ001）
中煤集团重点科技项目(20221CY001). （20221CY001）
