科研之友
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摘要
In this paper the mechanism of water inrush disaster is analyzed, and the correlation between the evolution law of water inrush channel and microseismic (MS) monitoring in prevention structure is established. The main MS events include water and rock mass impact, filling and rock impact in the water inrush channel. The idea of positioning the water inrush channel is presented by analyzing the filling and rock impact MS signal. A large model test restores the environment of various water inrush channels. The MS technique is used to monitor the water inrush channels in the test. Wavelet packet theory is used to decompose the MS signals of water inrush channel. The result indicates that the background noise frequency is 0-1 kHz and the effective signal frequency range is above 1250 Hz. The paper statistically analyzes the MS energy in the different water inrush channels. The result indicates that the shape of water inrush channel has little influence on the energy. It is concluded that the signals' energy is dominant at low frequency and the effective signals' energy is weak. An improved scheme is proposed for monitoring the water inrush against traditional MS technology based on the above conclusions. The wavelet packet theory can be embedded to filter low frequency signals in software, and the sampling frequency shall be no less than 2500 Hz and the monitoring frequency of the sensor shall be no less than 1250 Hz in hardware. In this paper, wavelet packet decomposition and energy theory are used to analyze the MS signals of water inrush channels, and the preliminary identification of MS waveforms in water inrush channels is realized, which provides an idea for monitoring water inrush disaster in underground works.
- 出版日期2018-10
- 单位山东大学
