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A Method for Reconstructing Space-Time Field of Subsurface Shallow Explosion

A space-time field, shallow technology, applied in blasting vibration testing technology, passive positioning field, can solve problems such as poor stability and low source positioning accuracy, achieve the effect of maintaining spatial characteristics, promoting feature reuse, and good extraction

Active Publication Date: 2022-08-09
ZHONGBEI UNIV
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Problems solved by technology

[0007] The present invention provides a method for reconstructing the space-time field of an underground shallow explosion. The technical problem to be solved is: to solve the problem of low positioning accuracy and poor stability of the shallow underground seismic source, and to make the seismic source positioning process equivalent to the energy field image to the energy focus point. End-to-end identification and positioning process

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[0020] In order to make the purpose, content and advantages of the present invention clearer, the specific embodiments of the present invention will be described in further detail below.

[0021] A method for reconstructing the spatio-temporal field of an underground shallow explosion proposed by the present invention specifically includes the following steps:

[0022] S1, lay out the vibration sensor array

[0023] Select a point at the center of the monitoring area as the coordinate origin, establish a Cartesian coordinate system, set n=168 sensors, take the coordinate origin as the center, and arrange the vibration sensors on the ground with an interval of 1m to form an equidistant square array. Beidou obtains the coordinate information of each sensor X i =(x i ,y i ,z i )(i=1,2,3,...,n);

[0024] S2. Generate a learning sample based on energy information, as follows:

[0025] S2.1 Get the preset source signal

[0026] A focal bomb is preset in the four quadrants of ...

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Abstract

The invention relates to a method for reconstructing the space-time field of an underground shallow explosion. The sensor array signals are grouped for energy field imaging, noise of vibration signals is eliminated, the resolution of the energy field imaging at each moment is improved, and the cross-correlation imaging technology is used to eliminate the inverse time Imaging interference caused by backpropagation. Using the time-varying characteristics of the explosion vibration signal, the length of the time window is set, and the energy field information within the length of the time window is linearly superimposed. The invention improves the energy focusing intensity of the instantaneous energy field, converts the three-dimensional energy field image in the space domain into the three-dimensional energy field image in the time-space domain, and improves the quantity and quality of the energy field images. The invention improves the positioning accuracy and positioning stability, and at the same time greatly reduces the steps of positioning parameter extraction, positioning model modeling and positioning model calculation in the traditional shallow source positioning process, and greatly improves the source positioning efficiency.

Description

technical field [0001] The invention belongs to the fields of blasting vibration testing technology and passive positioning technology, in particular to a method for reconstructing the spatiotemporal field of an underground shallow explosion, in particular to a deep learning-based method for reconstructing the spatiotemporal field of an underground shallow explosion. Background technique [0002] The spatiotemporal distribution of the explosive power field is to reconstruct the intensity distribution after the explosion by using the explosion performance parameters such as overpressure, stress wave energy, kinetic energy and other physical parameters of the explosion. This method is an important means to realize the evaluation of the damage efficiency of underground explosions. [0003] In the process of spatial-temporal reconstruction of the explosive power field, the accurate measurement of the location of the underground initiation point is the key to the reconstruction o...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01V1/30G06V10/774G06V10/82G06N3/04G06N3/08
CPCG01V1/307G06N3/08G06N3/045G06F18/214Y02A90/30
Inventor 李剑李传坤曹凤虎郭亚丽韩焱王黎明韩星程
Owner ZHONGBEI UNIV
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