Mining micro-seismic signal filtering method

A signal filtering and signal technology, applied in the field of data processing, can solve the problems of the subsequent analysis of microseismic signals, the difficulty of EMD decomposition methods, and to distinguish and distinguish between noise signals and effective signals.

Pending Publication Date: 2021-04-09
BEIJING MINING & METALLURGICAL TECH GRP CO LTD
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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

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  • Mining micro-seismic signal filtering method
  • Mining micro-seismic signal filtering method
  • Mining micro-seismic signal filtering method

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Embodiment Construction

[0046] In order to better explain the present invention and facilitate understanding, the present invention will be described in detail below through specific embodiments in conjunction with the accompanying drawings. It should be understood that the specific embodiments described below are only used to explain related inventions, rather than to limit the invention. In addition, it should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other; for the convenience of description, only the parts related to the invention are shown in the drawings.

[0047] Microseismic monitoring technology is an important technical means to judge the safety of mine ground pressure. The basic process of microseismic monitoring technology includes signal denoising, microseismic event detection, P / S phase extraction and source location. This application proposes a filter processing method suitable for...

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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...

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Application Information

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IPC IPC(8): G06K9/00
CPCG06F2218/06Y02A90/30
Inventor 张达石雅倩冀虎戴锐杨小聪
Owner BEIJING MINING & METALLURGICAL TECH GRP CO LTD
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