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Calculus empirical mode decomposition-based blasting vibration signal processing method

An empirical mode decomposition and blasting vibration technology, which is applied to vibration measurement in solids, measurement vibration, and measurement devices, can solve problems such as aliasing distortion, inability to describe signal intrinsic fineness, and reduce the accuracy of spectral analysis results. To achieve the effect of overcoming limitations

Inactive Publication Date: 2019-05-31
福建省新华都工程有限责任公司 +1
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Problems solved by technology

[0003] Scholars at home and abroad have done a lot of research on the blasting vibration effect through the analysis of the characteristics of the blasting vibration signal. Since the blasting vibration signal is a non-stationary and nonlinear signal, the traditional Fourier transform cannot reflect the essence of the blasting vibration signal and cannot Describe the signal eigenrefinement; although wavelet analysis has certain advantages over Fourier transform in dealing with non-stationary signals, the optimal selection of wavelet bases is difficult, because the different selection of wavelet bases will lead to different analysis results ; Hilbert-Huang transform decomposes according to its own time scale characteristics, which is more completely adaptable than wavelet analysis, but the core empirical mode decomposition of Hilbert-Huang transform is suitable for signals with similar high-frequency components Can not be completely decomposed, resulting in aliasing and distortion, reducing the accuracy of spectral analysis results

Method used

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  • Calculus empirical mode decomposition-based blasting vibration signal processing method
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  • Calculus empirical mode decomposition-based blasting vibration signal processing method

Examples

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Effect test

Embodiment 1

[0038] Embodiment 1: Aiming at the blasting and excavation project of the secondary crushing workshop of the phase II concentrator of Duobaoshan Copper Mine, the particle velocity of the surrounding buildings is monitored. In this project, 3 measuring points were selected. For the consideration of the safety and stability of the surrounding workshops, the 5# measuring point was arranged on the screening belt corridor in the northwest of the explosion area, and the 6# measuring point was arranged in the middle of the south of the explosion area. The crushing workshop and 2# measuring points are arranged near the highway in the north of the explosion area, and the measuring points are arranged as follows figure 2 shown. The instruments and equipment used in the test process include TC-4850 blasting vibrometer, three-dimensional vibration sensor and signal processor. The signal sampling frequency is 2500Hz, and the Nyquist frequency is 1250Hz. The original waveform of the blas...

Embodiment 2

[0056] Example 2: Aiming at the severe weathering of rock mass on the Dongbang slope of an iron mine, 12 monitoring points were set up near Dongbang in consideration of the impact of blasting vibration on the slope. Due to the limitation of geological conditions on the site, the 12 monitoring points are arranged on both sides of the Dongbang transportation line and are not strictly in a straight line. The locations of the monitoring points and the explosion area are as follows: Figure 4 As shown, the blasting vibration generated by 8 blasting areas was monitored. The instrument used in the test is the Blast-UM blasting vibration monitoring system. The vibration velocity monitored by the vibrometer ranges from 0.0047 to 33 cm / s, the frequency range is 5 to 300 Hz, and the sampling rate is 10,000 sps. The original signal waveform of blasting vibration at measuring point 8# is as follows: Figure 5 As shown, the calculus empirical mode decomposition is performed on the signal. ...

Embodiment 3

[0058] Embodiment 3: For a certain tunnel blasting excavation project, in order to ensure the safety of the surrounding hydropower stations, vibration monitoring is performed during the blasting excavation process. 5 measuring points are planned to be arranged on the N measuring line closest to the explosion source in the substation workshop area, and 5 measuring points are respectively planned to be arranged on the M measuring line closest to the explosion source in the other area, as shown in Figure 6 shown. The measuring points closest to the center line of the tunnel entrance are N and M respectively. The test equipment is the Topbox vibration self-recording instrument developed by Sichuan Tuopu Digital Equipment Co., Ltd. The original signal waveform of the blasting vibration at point M is as follows: Figure 7 As shown, the calculus empirical mode decomposition is performed on the signal.

[0059] The specific process implementation steps are carried out according to t...

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Abstract

The invention relates to a calculus empirical mode decomposition-based blasting vibration signal processing method. According to the method, original blasting vibration signals are collected and subjected to wavelet denoising processing; first-order differential processing is performed on de-noised signals, and whether an aliasing phenomenon exists on eigenmode functions which are obtained after decomposition is judged; if the aliasing phenomenon exists on the eigenmode functions, differential processing is performed again until no aliasing phenomenon occurs; integral processing is performed on the eigenmode functions of each order, ensemble empirical mode decomposition is performed on an obtained result; and the eigenmode function components of the original blasting vibration signals areobtained through a plurality of times of integral processing, and the original blasting vibration signals are reconstructed. With the method of the invention adopted, the aliasing distortion phenomenon of empirical mode decomposition is avoided, and the essential features of the signals are described in a more detailed manner. The method has the advantages of simple operation, high accuracy and the like.

Description

technical field [0001] The invention belongs to the technical field of blasting engineering and relates to a blasting vibration signal processing and analysis method, in particular to a blasting vibration signal processing method based on calculus empirical mode decomposition. Background technique [0002] The vibration effect of blasting has always been a concern in blasting engineering. It will cause hidden dangers to the surrounding buildings (structures) and personnel in a certain range, threatening the safety of life and property. The control and research of blasting vibration hazards have attracted attention at home and abroad. It is of great significance to make an accurate evaluation of the blasting vibration effect, which is not only beneficial to the research of blasting disaster control theory, but also has great significance for the improvement of blasting technology. [0003] Scholars at home and abroad have done a lot of research on the blasting vibration effe...

Claims

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Application Information

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IPC IPC(8): G01H1/12
Inventor 崔年生郭连军张大宁夏鹤平危剑林董英健
Owner 福建省新华都工程有限责任公司