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基于改进的STA/LTA方法的微地震P波自动拾取技术
引用本文:刘晓明,赵君杰,王运敏,彭平安. 基于改进的STA/LTA方法的微地震P波自动拾取技术[J]. 东北大学学报(自然科学版), 2017, 38(5): 740-745. DOI: 10.12068/j.issn.1005-3026.2017.05.027
作者姓名:刘晓明  赵君杰  王运敏  彭平安
作者单位:(1. 中南大学 资源与安全工程学院, 湖南 长沙410083; 2. 金属矿山安全与健康国家重点实验室,安徽 马鞍山243004; 3. 中钢集团 马鞍山矿山研究院有限公司, 安徽 马鞍山243004)
基金项目:国家自然科学基金资助项目(51604301,51374242); 金属矿山安全与健康国家重点实验室开发基金资助项目(2015-JSKSSYS-01); 中央高校基本科研业务费专项资金资助项目(2015zzts073).
摘    要:基于STA/LTA方法,提出了一种改进的自动拾取P波到时算法.引入权重因子K,构建了一种新的特征函数,提出寻找STA/LTA曲线上的最大值对应时刻为P波到时的方法,并运用Matlab对冬瓜山铜矿微震事件进行初至拾取分析.结果表明:该方法能够准确地拾取微地震P波初至,减少了传统的STA/LTA算法需要调整触发阈值(Thr)的过程,克服了固定阈值不能适应复杂多变信号到时拾取的缺点,具有抗噪性强、稳定性强、拾取精确度高等优势.

关 键 词:微震监测  P波初至自动拾取  STA/LTA方法  Matlab  

Automatic Picking of Microseismic Events P-wave Arrivals Based on Improved Method of STA/LTA
LIU Xiao-ming,ZHAO Jun-jie,WANG Yun-min,PENG Ping-an. Automatic Picking of Microseismic Events P-wave Arrivals Based on Improved Method of STA/LTA[J]. Journal of Northeastern University(Natural Science), 2017, 38(5): 740-745. DOI: 10.12068/j.issn.1005-3026.2017.05.027
Authors:LIU Xiao-ming  ZHAO Jun-jie  WANG Yun-min  PENG Ping-an
Affiliation:1. School of Resources and Safety Engineering, Central South University, Changsha 410083, China; 2. State Key Laboratory of Safety and Health for Metal Mines, Maanshan 243004, China; 3. Maanshan Institute of Mining Research,SinoSteel Group, Maanshan 243004, China.
Abstract:An improved method of automatic picking P-wave first arrival time based on the method of STA/LTA was put forward. A new kind of characteristic function was established by introducing weighting factor K, the global maximum on the curve of STA/LTA was found, then the corresponding moment is identified as the arrival of P-wave, and Matlab was used to analyze seismic events. Results show that the method can accurately pick up P-wave arrivals of seismic event, and reduce the process of adjusting the trigger threshold (Thr) to pick up the P-wave of the traditional algorithm (STA/LTA), and overcome the shortcoming that a fixed threshold can not pick the arrival time of complex signals. And the method has advantages of strong noise resistance, good stability, etc.
Keywords:microseismic monitoring   automatic picking of first arrival time of P-wave   method of STA/LTA   Matlab  
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