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

Method for predicating water inrush source by Fisher discriminant model based on PCA analysis

A water inrush water source and discriminant model technology, applied in prediction, neural learning methods, biological neural network models, etc., can solve the problems of not considering correlation, coincidence misjudgment, etc., and achieve the effect of strong practicability and simple operation

Inactive Publication Date: 2018-11-13
ANHUI UNIV OF SCI & TECH
View PDF4 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Commonly used methods include BP neural network method, Piper three-line diagram method, etc., which do not take into account the correlation between evaluation factors, resulting in misjudgment due to the overlap of information

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
  • Method for predicating water inrush source by Fisher discriminant model based on PCA analysis
  • Method for predicating water inrush source by Fisher discriminant model based on PCA analysis
  • Method for predicating water inrush source by Fisher discriminant model based on PCA analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0009] specific implementation plan

[0010] It is a flow chart of the method for predicting the source of water inrush based on the Fisher discriminant model of the PCA method in the present invention. Such as figure 1 Shown:

[0011] Step A, collecting data on water quality types of major aquifers in the study area in recent years;

[0012] Step B, based on the actual water quality data, establish the Fisher discriminant model of PCA method;

[0013] Step C, compare the model results with the actual, and predict the source of water inrush in the study area.

[0014] detailed steps:

[0015] The water inrush data of a certain mine was selected as the research background, and the sample data were selected from 10 water sample data of the Cenozoic water (Ⅰ) and coal-measure water (Ⅱ) in the directly filled aquifer in the mine. Considering that the characteristics of ions in different aquifers are different, six commonly used water chemical characteristic ions are selected ...

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 method for predicating a water inrush source by a Fisher discriminant model based on PCA analysis. The method comprises the steps of collecting water quality type data of eachmain aquifer in a research area in recent years; building the Fisher discriminant model of a PCA method based on actual water quality data; and comparing a model result with an actual condition, thereby predicting the water inrush source of the research area. According to the method, the water quality of each main aquifer is analyzed based on the PCA method; overlapping interference factors amongions are eliminated; main influence factors are selected; a water inrush source discriminant model is built in combination with a Fisher discriminant analysis method; and the prediction of the waterinrush source of the research area is carried out. The method has a certain novelty, is simple in operation and high in practicability, and provides a new idea and method for predicting the water inrush source.

Description

technical field [0001] The invention belongs to the field of identification of water inrush in coal mine mining. Specifically, it relates to a PCA analysis-based Fisher discriminant model water inrush source prediction method. Background technique [0002] Quickly and accurately judging the location of water inrush sources and taking reasonable measures are the key to preventing water inrush accidents. Mine water quality analysis is one of the main means to judge the nature of mine water inrush. Because the water quality of different layers is different, water chemical indicators are generally used to judge the water source nature of mine water inrush. Commonly used methods include BP neural network method, Piper three-line diagram method, etc., which do not take into account the correlation between evaluation factors, resulting in misjudgment due to the overlap of information. However, PCA solves the information overlap between variables very well, and has a high accuracy...

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): G06Q10/04G06K9/62G06N3/08
CPCG06N3/084G06Q10/04G06F18/21324G06F18/2135
Inventor 张妹饶家健刘启蒙夏磊
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com