A Shallow Blind Space Seismic Source Location System Based on Vibration Sensor Array

A vibration sensor, source location technology, applied in seismic signal receivers, instruments, seismology, etc., can solve the problem of high-precision positioning of targets in shallow small areas, to expand the number and diversity, improve efficiency, and reduce dependence. Effect

Active Publication Date: 2022-04-22
ZHONGBEI UNIV
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Problems solved by technology

[0008] The present invention provides a shallow blind space seismic source positioning system based on a vibration sensor array, and the technical problem to be solved is: the problem that the target in a shallow small area cannot be positioned with high precision

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  • A Shallow Blind Space Seismic Source Location System Based on Vibration Sensor Array
  • A Shallow Blind Space Seismic Source Location System Based on Vibration Sensor Array
  • A Shallow Blind Space Seismic Source Location System Based on Vibration Sensor Array

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Embodiment Construction

[0026] In order to make the purpose, content and advantages of the present invention clearer, the specific implementation manners of the present invention will be further described in detail below.

[0027] A shallow blind space seismic source positioning system based on a vibration sensor array proposed by the present invention includes a preset seismic source, a vibration sensor array, a feature parameter extraction module, a velocity field model building module, a three-dimensional energy field image generation module, a wireless transmission module, Deep learning network module;

[0028] The coordinate origin is randomly preset in the monitoring area, and the n sensors are rotated at intervals of 10° and the growth radius is 1m, and the vibration sensors are arranged on the surface in a clockwise direction to form a spiral vibration sensor array, which is obtained by using high-precision Beidou Coordinate information of each sensor (x j ,y j ,z j )(j=1,2,3,...,n), n=44;...

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Abstract

The invention relates to a shallow blind space seismic source positioning system based on a vibration sensor array, including a preset seismic source, a vibration sensor array, a feature parameter extraction module, a velocity field model building module, a three-dimensional energy field image generation module, and a deep learning network module; The present invention reduces the intermediate steps of positioning parameter extraction, positioning model modeling and positioning model solution in the traditional shallow seismic source positioning process, greatly improves the seismic source positioning efficiency, eliminates positioning blind spots, and reduces the impact of seismic source positioning accuracy on monitoring area channels. The dependence of reconstruction accuracy provides a new source location system for underground shallow source location.

Description

technical field [0001] The invention belongs to the technical field of blasting vibration testing, and in particular relates to a shallow blind space seismic source positioning system based on a vibration sensor array, which is suitable for fixed-point group strike positioning under unknown geological structure conditions. Background technique [0002] Underground shallow seismic source refers to the events that occur in the space where the depth of the underground seismic source does not exceed 100m. Its passive positioning is the main way to solve the problem of underground explosive point positioning and penetration trajectory measurement of high-value ammunition in the military field; it is the realization of geological monitoring in the civilian field. Engineering blasting, anti-theft monitoring of cultural relics, coal mine survey, analysis of surface structure composition, geological structure exploration, underground rare mineral exploration, oil exploration and excav...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62G01V1/30G01V1/20
CPCG01V1/307G01V1/20G06F2218/22G06F18/214
Inventor 李剑王彦博李冒金聂鹏飞苏新彦刘泽鹏莫璧铭李禹剑
Owner ZHONGBEI UNIV
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