联合信息融合和解析方法的微震源定位研究  

Study on micro-seismic source location with information fusion and analytical methods

作　　者：李绍红[1] 朱建东 白兰英[1] 王少阳[1] 李部[1] 吴礼舟[1] LI Shaohong;ZHU Jiandong;BAI Lanying;WANG Shaoyang;LI Bu;WU Lizhou(State Key Laboratory of Geohazard Prevention and Geoenvironment Protection,Chengdu University of Technology,Chengdu 610059,China)

机构地区：[1]成都理工大学地质灾害防治与地质环境保护国家重点实验室,四川成都610059

出　　处：《煤炭学报》2018年第4期1065-1071,共7页Journal of China Coal Society

基　　金：国家基础研究发展计划(973)资助项目(2013CB733202);国家自然科学基金面上资助项目(41672282);四川省青年科技创新研究团队基金资助项目(2015TD0030)

摘　　要：针对现有微震源定位算法大多基于均匀速度假设以及采用迭代解法导致计算量大且稳健性不佳的不足,通过对走时方程的变换和求解,推导了考虑速度各向异性的微震源解析解,提出了一种新的微震源定位方法。新方法由6个有效检波器数据实现定位。考虑到波速特征的复杂性,将随机模拟方法应用于产生大量震源备选解,并从信息融合角度对最终震源解进行探讨,将粗大误差判别准则和聚类分析方法用于获取最终的震源解。通过算例验证表明:提出的解析方法正确合理,且采用的信息融合方法科学合理,并建议在实际应用中采用粗大误差判别准则确定最终微震源。Aiming at the shortcomings of the existing micro source localization algorithm based on the uniform speed assumption and the iterative method leading to large amount of calculation and poor robustness,a new method of micro source location considering the velocity anisotropy was proposed through the transformation of time distance equation.The new method used six effective detector data to implement positioning. Stochastic simulation method was applied to produce a large number of source alternative solutions considering the complexity of wave velocity characteristics. Final source solution was discussed from the angle of information fusion,the gross error criterion and the clustering analysis method was used to obtain the source solution. The examples show that the analytical method is correct and reasona ble,and the information fusion method is scientific and reasonable,and suggest the final micro source is determined through gross error criterion.

关 键 词：微震源定位 解析方法 信息融合 粗大误差判别准则 聚类分析 

分 类 号：TD32[矿业工程—矿井建设]