基于DSSA的煤矿微震监测台站空间布局优化方法研究  

Optimization method of spatial layout of microseismic monitoring stations in coal mines based on DSSA

作　　者：罗浩 杜浩 潘一山 朱彦飞 马祥 LUO Hao;DU Hao;PAN YiShan;ZHU YanFei;MA Xiang(College of Information,Liaoning University,Shenyang 110036,China;School of Environment,Liaoning University,Shenyang 110036,China;Inner Mongolia Guanglian Yitai Coal Limited Liability Company,Erdos 017000,China)

机构地区：[1]辽宁大学信息学院,沈阳110036 [2]辽宁大学环境学院,沈阳110036 [3]内蒙古伊泰广联煤化有限公司,鄂尔多斯017000

出　　处：《地球物理学进展》2023年第5期2303-2311,共9页Progress in Geophysics

基　　金：国家自然科学基金资助项目(51704138);辽宁省教育厅科学技术研究资助项目(LJKMZ20220450)联合资助。

摘　　要：为了合理设计煤矿微震监测台站布局,提高微震系统定位精度,提出一种基于离散型麻雀搜索算法(Discrete Sparrow Search Algorithm,DSSA)的煤矿微震监测台站空间布局优化方法.首先提出了最小定位误差优化模型;其次提出了整数编码,将种群个体与空间台站候选点相互对应,同时引入交换算子和离散Levy飞行改进麻雀搜索算法;最后通过改进后麻雀搜索算法对优化模型进行求解寻找台站布局位置.通过仿真实验从62个候选点中选择20个位置部署台站,实验给出了台站布局情况,在寻优精度方面提高了28.8%、53.4%、43.1%,验证了基于最小定位误差优化模型优于基于D值优化模型.在现场实验中,按照矿区安装计划确定安装数量,根据矿区地表起伏情况以及矿区范围确定台站候选点;然后利用离散型麻雀搜索算法对最小定位误差模型进行求解,给出最终优化布局结果.矿井五处重点监测区域震源最小定位误差降至8.0 m,为煤矿微震台站空间布局提供了一种新方法.A method for optimizing the spatial layout of coal mine microseismic monitoring stations based on the Discrete Sparrow Search Algorithm(DSSA)is proposed in order to reasonably design the layout of coal mine microseismic monitoring stations and improve the positioning accuracy of the microseismic system.Firstly,a minimum positioning error optimization model is proposed;secondly,an integer coding is introduced,which corresponds the population individuals with the spatial station candidates,and introduces the exchange operator and the discrete Levy flight to improve the sparrow search algorithm;finally,the optimization model is solved by using the improved sparrow search algorithm to find the station layout position.Through simulation experiments,20 station positions are selected from 62 candidate points,and the experimental results provide the station layout situation,which improves the optimization accuracy by 28.8%,53.4%,and 43.1%.This verifies that the optimization model based on the minimum positioning error is superior to the optimization model based on the D value.In the field experiment,the installation quantity is determined according to the mine installation plan,and the candidate points are determined according to the surface undulation of the mine area and the scope of the mine area;then,the discrete sparrow search algorithm is used to solve the minimum positioning error model,and the final optimized layout result is given.The minimum positioning error of the seismic source in five key monitoring areas in the mine has been reduced to 8.0 m,providing a new method for the spatial layout of coal mine microseismic stations.

关 键 词：微震 离散型麻雀搜索算法 台站空间布局 最小定位误差优化模型 

分 类 号：P631[天文地球—地质矿产勘探]