Mining micro-seismic signal filtering method

Abstract

The invention relates to the technical field of micro-seismic monitoring, and concretely relates to a mining micro-seismic signal filtering method. The method comprises the following steps: acquiring a micro-seismic monitoring signal with a preset duration as a to-be-analyzed signal; in the time domain, extracting a background noise signal as a first signal according to the signal variance ratio in the front and rear time periods of the sliding window; and performing synchronous extrusion wavelet transform on the to-be-analyzed signal to remove noise, and performing inverse transform on the denoised signal wavelet coefficient to obtain a denoised time-domain micro-seismic signal. When the to-be-analyzed signal is subjected to synchronous extrusion wavelet transform, the wavelet coefficient of the to-be-analyzed signal is used as a second wavelet coefficient, the second wavelet coefficient is filtered based on a wavelet coefficient threshold, and the wavelet coefficient threshold is determined based on a probability distribution function of the wavelet coefficient of the first signal. According to the method, the signal-to-noise ratio can be improved, the characteristics of the original vibration signal monitored by microseism are reserved to a great extent, and the influence on subsequent microseism signal processing and analysis is reduced.

Description

technical field [0001] The application belongs to the technical field of data processing, and in particular relates to a mining microseismic signal filtering method, equipment and computer-readable storage medium. Background technique [0002] As shallow resources have been decreasing in recent years, deep mine mining has gradually become the normal state of mineral resources mining in my country, while deep high stress and ground pressure disasters induced by mining disturbances have seriously threatened mine safety and restricted the efficient and sustainable development of mines. With the rapid development of green, intelligent and deep mining technology, microseismic monitoring technology is widely used in the safety monitoring of rock mass stability in mines due to its large-scale, three-dimensional and predictable advantages. The microseismic monitoring technology can obtain the stress, displacement and energy distribution of the mine through the detection and analysis...

AI Technical Summary

Problems solved by technology

However, in practical engineering applications, the EMD decomposition method is difficult to accurately identify and distinguish between noise signals and effective signals in multiple IMFs, the operability is not strong, and the calculation process is relatively cumbersome

Using the decomposition and reconstruction filtering method, the signal misjudgment rate is high and the signal is easily distorted, which has a great impact on the subsequent analysis of the microseismic signal

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