CAJ | 학술논문

为了提高微震定位的精度，利用 MATLAB 软件及其工具箱编制相关分析、处理程序，进行了关于微震定位结果的二次优化研究。利用传统数学方法，将微震定位问题简化为求解线性方程组，建立基于多传感器的四四组合定位模型，四四一组求解其定位结果；并采用k-means聚类方法对组合定位结果进行优化处理，减小定位结果的奇异性。设定核心簇和外围簇2类，引入聚心曲线拐点及噪声偏移距离概念，建立聚类继续与否的判定准则。通过某矿现场验证表明，优化后的结果与真实震源误差为(1.8，2.83，11.6)，空间距离约为12.08 m。该方法算法简单，操作方便，且精度较之单一定位方法有所提高，基本满足现场需求。
위료제고미진정위적정도，이용 MATLAB 연건급기공구상편제상관분석、처리정서，진행료관우미진정위결과적이차우화연구。이용전통수학방법，장미진정위문제간화위구해선성방정조，건립기우다전감기적사사조합정위모형，사사일조구해기정위결과；병채용k-means취류방법대조합정위결과진행우화처리，감소정위결과적기이성。설정핵심족화외위족2류，인입취심곡선괴점급조성편이거리개념，건립취류계속여부적판정준칙。통과모광현장험증표명，우화후적결과여진실진원오차위(1.8，2.83，11.6)，공간거리약위12.08 m。해방법산법간단，조작방편，차정도교지단일정위방법유소제고，기본만족현장수구。
In order to improve the precision of the microseismic location, the quadratic optimization of mining microseismic source location has been researched through using MATLAB software and its toolbox in this paper. First, the microseismic location problem is boiled down to solving linear equations using traditional mathematics method and a Four-Four combined positioning model is set based on a multiple sensors;second, the k-means clustering method is applied to optimize the positioning results. Two classes-core cluster and peripheral cluster are set to processing those data. When it meets the principle of heart knee point and noise migration distance, the circular will stop and the final result will be solved. The result of field test shows that the optimized results are in close proximity to the real source;the distance between those is about 12.08 m (x:1.8 m,y:2.83 m,z:11.6 m). This method is simple and easy to operate, and the precision has been improved compared with the single positioning method.