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

Identification method for laser-induced fluorescence spectral image of water inrush in coal mine

A laser-induced fluorescence and mine water inrush technology, applied in character and pattern recognition, instruments, computer components, etc., to achieve long-term training and recognition, simple parameter tuning, and simple construction

Inactive Publication Date: 2018-09-07
ANHUI UNIV OF SCI & TECH
View PDF5 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a mine water inrush laser-induced fluorescence spectrum image recognition method to solve the deficiencies in the existing mine water inrush water source identification method, and to carry out early warning of coal mine water inrush disasters

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
  • Identification method for laser-induced fluorescence spectral image of water inrush in coal mine
  • Identification method for laser-induced fluorescence spectral image of water inrush in coal mine
  • Identification method for laser-induced fluorescence spectral image of water inrush in coal mine

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] The specific implementation manner of the present invention will be described in further detail below by describing the best embodiment with reference to the accompanying drawings.

[0044] The present invention combines PCANet-SVM with laser-induced fluorescence technology, puts the invasive fluorescent probe in the water inrush source of the mine, collects the fluorescence spectrum of the water sample in real time and draws the fluorescence spectrum image of the water sample; Scaling, cropping and grayscale processing, and then use PCANet to extract features from the preprocessed grayscale image to obtain PCANet image features, and then use SPXY method to divide the water samples composed of PCANet image features into independent training sets and test sets , and finally establish a water inrush water source recognition model on the training set, and test the recognition results of the model through the test set.

[0045] The present invention proposes a mine water in...

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 discloses an identification method for a laser-induced fluorescence spectral image of water inrush in a coal mine. The method comprises the following steps of (1) acquiring an original fluorescence spectral image of a water sample by use of a laser-induced fluorescence spectroscopy; (2) performing zooming, cropping and graying preprocessing on the original fluorescence spectral imageof the water sample; (3) performing characteristic extraction on the preprocessed gray image by use of a PCANet (Principal component analysis Network) to obtain PCANet image characteristics; (4) partitioning a water sample specimen consisting of the PCANet image characteristics into an independent training set and an independent test set by use of a SPXY (sample set partitioning based on joint x-y distance) method; and (5) establishing a water inrush source identification model on the training set, and performing test on a model identification result through the test set. According to the identification method for the laser-induced fluorescence spectral image of the water inrush in the coal mine, the identification model for the fluorescence spectral image of the water inrush source in the coal mine by use of the PCANet is simply constructed, is simple for parameter optimization, meanwhile has high identification rate and identification speed and is suitable for online and real-time monitoring of the water inrush source in the coal mine.

Description

technical field [0001] The invention relates to the field of mine water inrush water source identification, in particular to a mine water inrush laser-induced fluorescence spectrum image recognition method. Background technique [0002] Water inrush disaster is the second largest disaster among the five major disasters in coal mines. It is necessary to carry out early warning of water inrush on site and accurately grasp the type of water inrush. For the identification of the type of water inrush in coal mines, most of the traditional methods are based on water chemistry to obtain parameters such as pH value, ion concentration, and conductivity of the water sample to be tested, and establish a water source type identification model based on these parameters. However, the determination of water chemical parameters, especially the ion concentration, takes 1-2 hours to complete, which takes a long time and cannot meet the real-time requirements of coal mine water inrush disaster...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/2411G06F18/214
Inventor 胡锋周孟然闫鹏程李蓓来文豪李大同
Owner ANHUI UNIV OF SCI & TECH
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