Relocation method of microseismic source in deep mines  

一种深部矿井中微震源的二次定位方法（英文）

作　　者：黄麟淇[1,2] 李夕兵[1] 董陇军[1] 张楚旋 刘栋[1] 

机构地区：[1]中南大学资源与安全工程学院,长沙410083 [2]School of Civil and Mechanical Engineering, Curtin University [3]南华大学核资源工程学院,衡阳421000

出　　处：《Transactions of Nonferrous Metals Society of China》2016年第11期2988-2996,共9页中国有色金属学报（英文版）

基　　金：Projects(11472311,41272304,51504288)supported by the National Natural Science Foundation of China

摘　　要：A new method, named relocation, was proposed to reduce the impact of sensor errors systematically, especially whenavailable data of sensors are abundant. The procedure includes evaluating the reliability of every sensors datum, processing the initiallocation by the credible data, and selecting a set of equations with optimal noise tolerance according to the relative relationshipbetween the initial location and sensors location, then calculating the final location by k-mean voting. The results obtained in thisresearch include comparing traditional location method with the presented method in both simulation and field experiment. In thefield experiment, the location error of relocation method reduced 41.8% compared with traditional location method. The resultssuggested that relocation method can improve the fault-tolerant performance significantly.本文作者提出了一种新的二次定位的方法,这是首次系统地利用大量的传感器信息来降低传感器误差和噪声对定位造成的影响,它是通过多组数据之间交叉检验来提高定位的精度。方法的过程是:首先根据传感器位置等因素给出每个传感器监测到的数据的可靠度,使用可靠度较高的数据进行震源位置的初步测算,然后根据初始定位的结果和传感器位置的相对关系选择具有最优噪音容忍度的一组方程,并通过k-mean投票法确定最终的震源位置。对传统定位方法和本文提出方法进行了比较以验证方法的可靠性,并分别使用模拟和现场试验数据进行了定位测算。在现场试验中,当TDOA加入了N(2,2)的正态分布误差,与传统方法相比,本文方法的定位误差降低了41.8%。实验结果表明本文提出的二次定位法能够显著提高容错性能,得到更为精确的定位结果。

关 键 词：micro-seism RELOCATION k-mean equation selection sensor array 

分 类 号：TD76[矿业工程—矿井通风与安全]