工矿自动化2025，Vol.51Issue(4)：28-35,43,9.DOI:10.13272/j.issn.1671-251x.2024110006
基于吸引-排斥算法的精准分风方案决策
Precise wind allocation scheme decision based on attraction-repulsion algorithm
摘要
Abstract
To address the issue of fluctuating branch airflow in the ventilation system caused by changes in mine ventilation facilities and air network structure during underground production operations,which in turn leads to insufficient airflow at consumption points,a precise wind allocation algorithm based on the Attraction-Repulsion Optimization Algorithm(AROA)is proposed.The ventilation fan power consumption minimization was set as the optimization objective,with the required airflow for working and standby faces as constraints,and a mathematical model of the mine ventilation system was established.By employing AROA,the ventilation fan and existing underground ventilation facilities were precisely controlled,and an optimized solution was iteratively generated.During the optimization process,an improved Brownian motion,trigonometric function transformation,random solution selection mechanism,and memory-based local search operator were integrated to dynamically filter and fine-tune candidate solutions,ultimately achieving an optimal precise wind allocation plan with the lowest ventilation operation cost.Performance test results showed that AROA had a significant advantage in comprehensive optimization performance compared to Genetic Algorithm(GA),Simulated Annealing-Improved Particle Swarm Optimization(SA-IPSO),and Monotonic Basin Hopping(MBH).When solving the Ackley function,AROA required fewer iterations to obtain the optimal and average optimal solutions compared to GA,SA-IPSO,and MBH.Case study results showed that the precise wind allocation scheme determined by the AROA-based algorithm resulted in a 50.4％adjustment in the air window area.The left-wing fan power decreased from 131.72 kW to 97.95 kW(a reduction of 25.6％),and the right-wing fan power decreased from 188.22 kW to 146.62 kW(a reduction of 22.1％),achieving a total energy-saving rate of 23.56％.Actual application results in a coal mine demonstrated that the AROA-based algorithm reduced the fan airflow by 11.2％,while the fan air pressure decreased by 10.1％,ultimately achieving a 20.7％reduction in power consumption.The precise wind allocation scheme determined by the AROA-based algorithm reduced fan air pressure by 10.1％,fan airflow by 11.2％,and power by 20.7％.关键词
矿井通风/精准分风/吸引-排斥算法/分窗面积/通风机风压/通风机分量Key words
mine ventilation/precise wind allocation/Attraction-Repulsion Algorithm/window area/fan air pressure/fan airflow分类
矿业与冶金引用本文复制引用
倪景峰,陈敦炜,刘玉娇..基于吸引-排斥算法的精准分风方案决策[J].工矿自动化,2025,51(4):28-35,43,9.基金项目
国家自然科学基金青年基金项目(52104194). （52104194）
