Research On Mine Air Volume Optimization And Regulation Based On Beetle Antennae Search Alogorithm

As the most important system to ensure the safe production of coal mines,the mine ventilation system undertakes the responsibility of continuously delivering sufficient fresh air to each roadway under the coal mine to ensure the safe recovery of mines and the health of workers.As the mining of the mine continues to extend to depth,the underground roadway has become complicated,and the reasonable distribution of air volume is directly related to the safe,economical and stable operation of the ventilation system.Aiming at the problem of variable air volume demand at underground wind consumption sites,a mine air volume optimization and adjustment method based on the beetle antennae search algorithm is proposed,and the optimal air regulation scheme is obtained according to different air volume demand targets to achieve on-demand adjustment of mine air volume.First of all,a mathematical model for the optimal regulation of mine air volume is established.Guided by the on-demand adjustment of mine air volume,according to the different air regulation needs of mine air volume and combined with the constraints in the process of mine air volume regulation,the mathematical models of daily ventilation network optimization and catastrophic branch air volume optimization and adjustment are established,and the constraint terms in the model are deconstrained by using the external point method of the penalty function,which simplifies the solution of the model.Secondly,aiming at the wind resistance limitation condition of local air volume regulation of catastrophic branches,a wind increase and resistance regulation method based on the theory of air volume sensitivity and branch dominance is proposed.By studying the decreasing characteristics of air volume sensitivity,the resistance regulation range of the optimized branch is obtained,which is used as the initial solution set of the air volume regulation model of the catastrophic branch.At the same time,the nature of the influence degree in the air volume sensitivity is used to optimize the arrangement of the wind speed sensor.Then,in order to overcome the shortcomings of the traditional numerical algorithm in solving the air volume optimization regulation model,the new Beetle Antennae Search(BAS)is used to solve the mine air volume optimization and regulation model.Aiming at the shortcomings of BAS algorithm in solving nonlinear air volume optimization problems,such as single population,slow convergence speed,and easy to fall into local circulation,a multi-strategy Beetle Antennae Search(MBAS)algorithm combined with improved is proposed.Through the test of different types of benchmark functions,the effectiveness of the improved strategy is verified,and the solution accuracy and optimization effect of the improved MBAS algorithm are significantly improved.Finally,on the experimental platform of intelligent optimization and regulation of mine air volume,the proposed air volume optimization and regulation method is verified.By constructing an intelligent optimization control system for air volume,realizing the effective combination of intelligent optimization algorithm and industrial control,and applying the MBAS algorithm to the air volume optimization and regulation experiment of the actual ventilation system,the experimental results show that the energy consumption of the optimized ventilation network is reduced by11.82 k W,the energy saving rate is 16.70%,and the air volume regulation of the catastrophic branch can be increased by 25.7%.Therefore,the proposed air volume optimization and adjustment method can not only meet the daily work of the mine,realize the energy saving and consumption reduction of the ventilation system,but also realize emergency air regulation in the case of catastrophic changes in the branch,and meet the requirements of intelligent optimization and regulation of mine air volume.The thesis has 47 figures,19 tables,and 109 references.