工程尺度下微震信号及P波初至自动识别AB算法

发布时间：2018-01-12 22:39

本文关键词：工程尺度下微震信号及P波初至自动识别AB算法　出处：《岩石力学与工程学报》2017年03期 　论文类型：期刊论文

【摘要】：为提高工程噪音环境中低信噪比微震信号的自动识别率及其P波自动拾取准确率,结合Allen算法能快速自动拾取震动信号的优点及Bear算法善于拾取低信噪比震动信号P波初至的优势,在Allen算法的基础上,引入Bear算法的加权因子和特征函数,对Allen算法进行改进,提出适用于工程尺度的微震信号及P波初至自动识别的AB(Allen coupled with Bear algorithm)算法。分析AB算法对信号振幅或频率变化的敏感性以及拾取效果,结果表明:(1)AB算法能准确识别微震信号也能同时准确自动拾取信号的P波初至;(2)AB算法的加权因子K、特征函数CF,ε值对频率和振幅变化的敏感性高于Allen算法;(3)AB算法对振幅变化比对频率变化敏感;(4)工程尺度下AB算法微震信号的拾取率高于Allen算法,且P波自动拾取准确率也高于Allen算法。将AB算法用于分析锦屏深部地下实验室实测微震信号:对于弱信号,基于AB算法拾取结果进行微震源定位,定位结果具有更高的可靠性与稳定性;AB算法是一种行之有效,计算简单,适合实时监测微震信号识别及其P波初至拾取。
[Abstract]:In order to improve the automatic recognition rate of low signal-to-noise ratio (SNR) microseismic signals and the accuracy of P-wave automatic pickup in engineering noise environment. Combining the advantages of Allen algorithm which can pick up vibration signal quickly and automatically, and the advantage that Bear algorithm is good at picking up P wave first arrival of low signal-to-noise ratio vibration signal, based on Allen algorithm. The weighting factor and characteristic function of Bear algorithm are introduced to improve the Allen algorithm. A AB(Allen coupled with Bear algorithm for automatic recognition of microseismic signal and P wave first arrival in engineering scale is presented. The sensitivity of AB algorithm to the variation of signal amplitude or frequency and the effect of picking up are analyzed. The results show that the first arrival of P wave can be automatically picked up by the small motion signal and the microseismic signal can be identified accurately by using the one-to-one AB algorithm. The sensitivity of weighting factor K, characteristic function CFS, 蔚 value to frequency and amplitude change is higher than that of Allen algorithm. The algorithm is sensitive to the variation of amplitude and frequency. 4) the picking rate of microseismic signals in AB algorithm is higher than that in Allen algorithm in engineering scale. The accuracy of P-wave automatic pickup is also higher than that of Allen algorithm. AB algorithm is used to analyze the measured microseismic signals in deep underground laboratory of Jinping. For weak signals, micro-source location is carried out based on the results of AB algorithm. The positioning results have higher reliability and stability. AB algorithm is an effective and simple calculation, which is suitable for real-time monitoring of microseismic signal identification and P wave first arrival pickup.
【作者单位】：武汉科技大学资源与环境工程学院;中国科学院武汉岩土力学研究所岩土力学与工程国家重点实验室;
【基金】：“十二五”国家科技支撑计划项目(2013BAB02B01) 国家自然科学基金资助项目(51479192,41272347)~~
【分类号】：TU45
【正文快照】： 1 引言利用微震监测技术实时监测工程尺度下岩体开挖等因素引发的岩爆、矿震等工程灾害,掌控其孕育过程及规律,预警其发生的位置和概率,对于岩石工程灾害的防控具有重要意义。微震源定位是微震监测与灾害预警的重要组成部分,而微震信号的识别及P波初至拾取是微震源定位的关

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