Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Strain type rockburst early warning method based on acoustic signal waveform change characteristics

A sound signal and sound signal processing technology, which is applied in the field of strain-type rockburst early warning, can solve the problems of high technical requirements for users, expensive acoustic emission equipment, signal strength attenuation, etc., to achieve more security for personal safety, and has a prospect of popularization and application Good, reliable and stable signal effect

Active Publication Date: 2016-06-15
GUANGXI UNIV
View PDF5 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Furthermore, both microseismic and acoustic emission are contact monitoring methods, and the signal strength attenuates rapidly with the increase of the distance from the sound source. Sensors and other equipment are damaged, and there are certain safety hazards during installation
In addition, the microseismic equipment and acoustic emission equipment used for early warning of rockbursts are expensive and have high technical requirements for users.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Strain type rockburst early warning method based on acoustic signal waveform change characteristics
  • Strain type rockburst early warning method based on acoustic signal waveform change characteristics
  • Strain type rockburst early warning method based on acoustic signal waveform change characteristics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] Taking the strain-type rockburst early warning of the excavation of the China Jinping Underground Laboratory Expansion Project excavated at the Jinping Secondary Hydropower Station on the Yalong River in Sichuan as the engineering background, the present invention will be further described in detail in conjunction with the accompanying drawings:

[0038] (1) Utilize the sound signal acquisition equipment to collect the sound signal in the strain-type rockburst destruction process in real time, and use the sound signal transmission system to transmit the collected sound signal to the sound signal processing system, and the sound signal processing system processes the collected sound signal Real-time recording and analysis, as follows:

[0039] In order to ensure the accuracy of sound signal collection and prevent damage to the sound signal collection equipment, two sections of sound signal collection equipment are selected at intervals of 10m within the range of 5-10m fro...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a strain type rockburst early warning method based on acoustic signal waveform change characteristics. The method includes the following steps: acoustic signals in a strain type rockburst destruction process are collected and transmitted to an acoustic signal processing system, the acoustic signal processing system performs denoising processing first, and then draws and analyzes an acoustic signal oscillogram, main forewarning information of occurrence of rockburst is that after small-amplitude fluctuation of the amplitude of the acoustic signals for a relatively long time, high-amplitude acoustic signals suddenly appear for a short period of time, and soon afterwards, a ''relative quiet period'' of continuous low-amplitude acoustic signals appear; a curve of a time fractal dimension value changing with time is drawn, another piece of forewarning information of occurrence of rockburst is that after continuously increasing to a relatively large value, the value of the time fractal dimensions D<t> continuously declines in a period of time and approaches a historical minimum value; and finally, an alarm is given in the form of sending out high-decibel sound or changing screen graphics. The strain type rockburst early warning method based on acoustic signal waveform change characteristics belongs to a non-contact monitoring means, and has the advantages that the installation operation is safe and the signals are reliable and stable.

Description

technical field [0001] The invention relates to a strain-type rockburst early warning method based on the change characteristics of the sound signal waveform. Specifically, it involves taking the change of the wave form characteristic of the sound signal recognizable by the human ear during the rockburst breeding process as the precursor information of the rockburst. It belongs to the field of early warning and prevention of geotechnical engineering disasters. Background technique [0002] With the rapid development of my country's economy, the country's demand for hydropower, energy, and transportation is increasing, and the amount of underground engineering construction is increasing, and it is gradually expanding to the deep, and the rockburst problem is becoming increasingly prominent. Rockburst is generally a dynamic damage phenomenon of surrounding rock caused by excavation and unloading of underground engineering rock mass in hard rock under high ground stress state. ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G01V1/00G10L25/51
CPCG01V1/00G10L25/51
Inventor 苏国韶李燕芳石焱炯蒋剑青江权莫金海陈智勇
Owner GUANGXI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products