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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。
In order to improve the precision of microseismic localization, the MATLAB software and its toolbox were used to compile the relevant analysis and processing procedures, and the secondary optimization of microseismic locating results was carried out. Using the traditional mathematical method, the microseismic locating problem is simplified to solve the linear equations, and the four or four combined locating model based on multi-sensor is established. Four to four groups are used to solve the locating result. The k-means clustering method is used to optimize the combined locating result Processing, to reduce the singularity of positioning results. The core cluster and the peripheral cluster are set up, and the concept of the inflection point of centripetal curve and the distance of noise offset are introduced to establish the criterion of whether the clustering continues or not. According to the site verification of a mine, the optimized results show that the error between the optimized source and the actual source is (1.8, 2.83, 11.6) and the spatial distance is about 12.08 m. The method is simple, easy to operate, and the accuracy is better than the single positioning method, basically meet the needs of the scene.