To identify large scale stopping blasting and large magnitude micro-seismic signals, the FFT spectral analysis method is used. The analysis of the stopping blasting and macro-scale rock fracture signals is made through power spectrum and magnitudefrequency characteristics. The distribution difference of the energy on the frequency brand can be revealed. It is shown that in the frequency brand distribution of the large magnitude micro-seismic signal, the amplitude value takes the maximum at about 10 Hz and 30~50 Hz. The large scale stopping blasting is in a narrow frequency brand. Its amplitude value is higher than the normal signal. It reaches the top amplitude at 10 Hz. From the energy distribution, the energy distribution of the blasting signal mostly in the 0-30 Hz low frequency area. It is because the blasting is always accompanied with an enormous energy, which is released very fast. The microseismic energy is distributed mostly in the range of 30-50 Hz. So for the two kinds of signal identifications, two kinds of signal spectrum characteristics may be used.
JIANG Wenwu
,
YANG Zuolin
,
XIE Jianmin
,
LI Jiafu
. Application of FFT spectrum analysis to identify microseismic signals[J]. Science & Technology Review, 2015
, 33(2)
: 86
-90
.
DOI: 10.3981/j.issn.1000-7857.2015.02.013
[1] 刘建坡. 深井矿山地压活动与微震时空演化关系研究[D]. 沈阳: 东北 大学, 2011. Liu Jianpo. Studies on relationship between microseism time- space evolution and ground pressure aetivities in deep mine[D]. Shenyang: Northeastern University, 2011.
[2] 徐奴文. 高陡岩质边坡微震监测与稳定性分析研究[D]. 大连: 大连理 工大学, 2011. Xu Nuwen. Study on microseismic monitoring and stability analysis of high steep rock slope[D]. Dalian: Dalian University of Technology, 2011.
[3] 赵毅鑫, 姜耀东, 王涛, 等.“两硬”条件下冲击地压微震信号特征及前 兆识别[J]. 煤炭学报, 2012, 37(12): 1960-1966. Zhao Yixin, Jiang Yaodong, Wang Tao, et al. Features of microseismic events and precursors of rock burst in underground coal mining with hard roof[J]. Journal of China Coal Society, 2012, 37(12): 1960-1966.
[4] 陆菜平, 窦林名, 吴兴荣, 等. 岩体微震监测的频谱分析与信号识别[J]. 岩土工程学报, 2005, 27(7): 772-775. Lu Caiping, Dou Linming, Wu Xingrong, et al. Frequency spectrum analysis on microseismic monitoring and signal differentiation of rock material[J]. Chinese Journal of Geotechnical Engineering, 2005, 27(7): 772-775.
[5] 曹安业, 窦林名, 秦玉红, 等. 高应力区微震监测信号特征分析[J]. 采 矿与安全工程学报, 2007, 24(2): 146-149. Cao Anye, Dou Linmin, Qin Yuhong. Characteristic of microseismic monitoring signal in high stressed zone[J]. Journal of Mining &Safety Engineering, 2007, 24(2): 146-149.
[6] 曹华锋, 林峰. 微震监测信号辨识方法研究[J]. 采矿技术, 2011, 11 (2): 55-58. Cao Huafeng, Lin Feng. Study on microseismic monitoring signal identification method[J]. Mining Technology, 2011, 11(2): 55-58.
[7] 唐礼忠, 陈资南, 张君, 等. 矿山微震信号小波分析与研究[J]. 科技导 报, 2013, 31(31): 29-33. Tang Lizhong, Chen Zinan, Zhang Jun, et al. Research and analysis on wavelet of mine microseeismic signals[J]. Science & Technology Review, 2013, 31(31): 29-33.
[8] 袁瑞甫, 李化敏, 李怀珍. 煤柱型冲击地压微震信号分布特征及前兆 信息判别[J]. 岩石力学与工程学报, 2012, 31(1): 80-85. Yuan Ruifu, Li Huamin, Li Huaizhen. Distribution of microseismic signal and discrimination of portentous information of pillar type rockburst[J]. Chinese Journal of Rock Mechanics and Engineering, 2012, 31(1): 80-85.
[9] 大崎顺彥. 地震动的谱分析入门[M]. 吕敏申, 谢礼立, 译. 北京: 地震 出版社, 1980. Ozaki Nobuhiko. Introduction to spectral analysis of ground motion[M]. Lü Minshen, Xie Lili, trans. Beijing: Seismological Press, 1980.
[10] 李志华, 窦林名, 陆菜平. 断层冲击相似模拟微震信号频谱分析[J]. 山东科技大学学报, 2010, 29(4): 51-56. Li Zhihua, Dou Linming, Lu Caiping. Frequency spectrum analysison micro- seismic signalof similar simulation test of fault rock burst[J]. Journal of Shandong University of Science and Technology, 2010, 29 (4): 51-56.
[11] Gibowicz S J, Kijko A. 矿山地震学引论[M]. 修济刚, 译. 北京: 地震 出版社, 1998. Gibowicz S J, Kijko A. Introduction to mining seismology[M]. Xiu Jigang, trans. Beijing: Seismological Press, 1998.
[12] 胡丽莹, 肖蓬. 快速傅里叶变换在频谱分析中的应用[J]. 福建师范大 学学报, 2011, 27(4): 27-30. Hu Liying, Xiao Peng. Application of fast fourier transform in frequency and spectrum analysis[J]. Journal of Fujian Normal University, 2011, 27(4): 27-30.
