Study on the improvement of the microseismic network configuration for San He-jian coal mine
Two seismically active regions and also the occurrence probabilities of strong mining-induced tremors of them are determined by the comprehensive index method to improve the monitoring efficiency of seismological observation system in San He-jian coal mine. The set consisted of 91 candidate points is formed based on the general choosing candidate points of geophone stations. To this kind of large-scale network configuration of combinatorial optimization problem in coal mine, natural number coding method is used to construct the individual genes expression of microseismic network configuration plan in genetic algorithm and the individual fitness function is built to evaluate the performance of configuration plan based on the theory of D-optimal design. Crossover and mutation operators are mixed and improved to prevent the premature convergence of algorithm thus increase its performance. The application results from situation show that: (i) the optimum solution can be quickly solved by the genetic algorithm;(ii) the improved network configuration is better than the currently used one, which is proved by using numerical emulation technique, because it significantly decrease the hypocenter location errors in the key monitoring areas, and the maximum error is reduced by 230m.
microseismic network configuration coal mine genetic algorithm combinatorial fitness function natural number coding optimum solution
GONG Si-Yuan DOU Lin-Ming MA Xiao-Ping HE Jiang LIU Yan-Gao
School of Information and Electrical Engineering, China University of Mining & Technology, Xuzhou, J State Key Laboratory of Coal Resources and Mine Safety, China University of Mining & Technology, Xuz
国际会议
The First International Symposium on Mine Safety Science and Engineering (首届矿山安全科学与工程学术会议)
北京
英文
1213-1220
2011-10-27（万方平台首次上网日期，不代表论文的发表时间）