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

Automatic mine fault identification method

An automatic identification and fault technology, applied in the field of data processing, can solve problems such as difficult to identify faults, and achieve the effect of avoiding subjective influence

Active Publication Date: 2014-04-30
HUAINAN WANTAI ELECTRONICS +1
View PDF3 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The interpretation of microseismic location results is generally done manually, but as the ability of microseismic location in mines is getting higher and higher, the number of earthquake locations is increasing, and more and more artificial factors rely on experience. It is difficult to specifically divide a reliable result, and eventually it becomes more and more difficult to identify faults, so as to provide reasonable suggestions for mine safety production

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
  • Automatic mine fault identification method
  • Automatic mine fault identification method
  • Automatic mine fault identification method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021] The technical solutions of the present invention will be further described below in conjunction with the embodiments.

[0022] refer to figure 1 , a kind of mine fault automatic identification method provided by the invention, identification computer is set and the microseismic event cloud of mine microseismic location result is set in identification computer, and this method comprises the steps:

[0023] 1) Read the microseismic event cloud, set N0 faults in it, each fault has a random position and orientation, and the initial value of this parameter is 1.

[0024] 2) For each seismic event, find the fault closest to it to form an initial cluster, and then perform cluster analysis under the constraint that the sum of the distances between the center of the class and the seismic events in the class is the smallest, that is, perform global Optimizing for the smallest sum of distances. The optimization of the minimum sum of global distances adopts the following calculat...

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 an automatic mine fault identification method. According to the method, spatial position clustering analysis is carried out on all micro-earthquake events according to mine micro-earthquake location result data, the mine fault surfaces are assumed to be planes, by means of a method of analyzing each cluster characteristic value, the geometrical parameters of the orientation, the length, the width and the like of each fault surface are obtained, faults possibly occurring are given, and the position pictures of the faults are drawn. The automatic mine fault identification method has the advantages of avoiding the subjectivity influence of manual interpretation, and being quantitative, automatic and semi-intelligent compared with a general method of manual interpretation after micro earthquake location.

Description

technical field [0001] The invention relates to a data processing method, in particular to a mine fault automatic identification method. Background technique [0002] The interpretation of microseismic location results is generally done manually, but as the ability of microseismic location in mines is getting higher and higher, the number of earthquake locations is increasing, and more and more artificial factors rely on experience. It is difficult to specifically divide a reliable result, and finally it becomes more and more difficult to identify faults, so as to provide reasonable suggestions for mine safety production. Contents of the invention [0003] In order to overcome the defects of the prior art, the present invention provides a mine fault automatic identification method, which can be quantitatively, automatically and semi-intelligently obtained based on the mine microseismic positioning result data and under the assumption that the mine fault plane is a plane. ...

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): G01V1/28
Inventor 张海江常凯余子先
Owner HUAINAN WANTAI ELECTRONICS
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