A denoising and filtering method for microseismic signals with low signal-to-noise ratio in coal mines
A low signal-to-noise ratio, noise-removing filtering technology, applied in the field of information processing, can solve problems such as the inability to extract effective microseismic signals, and achieve strong adaptability and real-time effects
Inactive Publication Date: 2016-11-16
SHANDONG UNIV OF SCI & TECH
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[0003] The technical problem to be solved in the present invention is to address the above deficiencies, and propose a method for denoising and filtering microseismic signals with low signal-to-noise ratio in coal mines, which overcomes the defect that the prior art cannot extract effective microseismic signals, and adopts the empirical mode described in the present invention Empirical Mode Decomposition (EMD) decomposes the noisy microseismic signal to form multiple different Intrinsic Mode Function (IMF) components, and these IMF components are arranged in order of frequency from high to low, because microseismic It is a low-frequency vibration, so the high-frequency IMF obtained by decomposition can be eliminated, and the remaining components can be reconstructed to realize effective denoising and filtering of low signal-to-noise ratio microseismic signals
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[0040] Examples such as figure 1 As shown in Fig. 1, a method for denoising and filtering microseismic signals with low signal-to-noise ratio in coal mines includes the following steps:
[0041] Step S101: Read the time series X(t) of the monitoring data of the noisy microseismic signal, t=0,1,...,T, and then enter step S102, the curve of the noisy microseismic signal is as follows figure 2 shown;
[0042] In step S102: EMD decomposition is performed on the noisy microseismic signal X(t), and there are two decomposition termination conditions: ① In the data set of the noisy microseismic signal X(t), the number of extreme points and the number of zero-crossing points are equal Or the difference is 1 at most; ②At any point, the mean value of the upper envelope formed by the local maximum value and the lower envelope formed by the local minimum value is zero; the noisy microseismic signal X(t) is decomposed by EMD The flow chart is as Figure 11 As shown, the detailed process...
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The invention discloses a de-noising and filtering method of slight-shock signals with low signal to noise ratio under a coal mine. The de-noising and filtering method comprises the following steps: reading noisy slight-shock signal monitoring data time sequences X(t), and carrying out EMD (Empirical Mode Decomposition) on the noisy slight-shock signal X(t) to obtain a series of IMF (intrinsic mode function) components, so that the number of extreme points of the signal and the number of zero crossing points are the same or differ by 1 at most, the mean value of an upper envelop line formed by local maximum value and a lower envelop line formed by local minimum value is zero, and the IMF components are sequenced according to frequencies from big to small; and rejecting the high-frequency IMF components and reconstituting the rest IMF components to obtain a de-noised and filtered slight-shock signal. The method disclosed by the invention can sufficiently reserve the non-stable and nonlinear characteristics of the slight-shock signal, has adaptability and relatively strong real-time property and can be used for effectively de-noising and filtering the slight-shock signal with low signal to noise ratio.
Description
technical field [0001] The invention relates to a denoising and filtering method, in particular to a denoising and filtering method for microseismic signals with low signal-to-noise ratio in coal mines, and belongs to the technical field of information processing. Background technique [0002] Microseismic technology realizes the monitoring and early warning of coal mine dynamic disasters such as rock burst, coal and gas outburst, and mine water inrush by monitoring the microvibration signals caused by underground coal and rock rupture. However, the signals obtained by the vibration pickups deployed underground are often mixed with mechanical vibrations Environmental noise such as blasting, blasting, transportation, etc. These noises have high energy and even submerge the microseismic signals caused by coal and rock rupture, making it impossible to extract effective microseismic signals, which seriously interferes with the normal function of the microseismic monitoring system...
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IPC IPC(8): E21F17/18
Inventor 孙红梅贾瑞生赵同彬傅游于建志
Owner SHANDONG UNIV OF SCI & TECH