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

BN-GIS (Bayesian Network-Geographic Information System) method for evaluating and predicting water inrush danger of coal-seam roof and floor

A roof-to-floor and water-inrush technology, applied in special data processing applications, instruments, electrical digital data processing, etc., to achieve the effects of effective learning ability, flexible and convenient evaluation and screening, and simple decision-making mechanism

Inactive Publication Date: 2012-03-21
CHINA UNIV OF MINING & TECH (BEIJING)
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This requirement is obviously unsatisfactory for the above method

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
  • BN-GIS (Bayesian Network-Geographic Information System) method for evaluating and predicting water inrush danger of coal-seam roof and floor
  • BN-GIS (Bayesian Network-Geographic Information System) method for evaluating and predicting water inrush danger of coal-seam roof and floor
  • BN-GIS (Bayesian Network-Geographic Information System) method for evaluating and predicting water inrush danger of coal-seam roof and floor

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] There were 12 large and small water inrushes in a coal mine, which provided a factual basis for obtaining the prior probability of water inrush and generating training samples. With the progress of deep mining, the risk of water inrush is increasing, and it is urgent to reason about water inrush and evaluate the situation of water inrush.

[0028] The embodiments of the present invention will be further described below in conjunction with the drawings:

[0029] The present invention is a new BN-GIS technology for reducing the risk of water inrush in coal mines using a new BN-GIS method for evaluating and predicting water inrush hazard from the top (bottom) slab of coal seam. The new decision modeling method includes water inrush logic reasoning, BN and GIS coupling and corresponding evaluation system.

[0030] 1. On the basis of systematic analysis of coal mine geology and hydrogeological characteristics, combined with existing mining conditions, construct an evaluation index...

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 relates to a quantitative evaluation method for water inrush danger of coal-seam roof and floor. On the basis of systematic analysis of coal-mine hydrological and geologic features and in combination with the traditional mining conditions, an evaluating indicator system for coal-mine water inrush safety situation is established; based on the classification of water inrush, a water inrush situation prior probabilistic model is established; and according to the data of faultage water transmissibility, fold strength, water pressure in the water-bearing strata and other aspects in acoal-mine water-filling system, sub thematic graphs for safety situation evaluation factors are established. Combined superimposition analysis is performed on nine thematic graphs on the faultage water transmissibility, fold strength and the like by utilizing the spatial analysis function of a GIS; a BN model is established by virtue of parameter learning and network reasoning and is used for calculating conditional probability and reckoning the posterior probability of the water inrush danger according to the calculated prior probability; and according to the BN (Bayesian network) model, the water inrush danger on coal-seam coalface roof and floor on the premise of the existing mining intensity are dynamically evaluated and predicated, and the water inrush danger on the coal-seam coalface roof and floor on the premise that the mining intensity is enhanced in order to complete the increased task are dynamically evaluated and predicated.

Description

Technical field [0001] The invention relates to a method for evaluating and predicting the risk of water inrush from the roof and floor of a coal mine, in particular to a method based on Bayesian Network (Bayesian Network, hereinafter referred to as BN)-Geographical Information System (hereinafter referred to as GIS) The method is a new practical method for decision-making of coal mine water inrush hazard coupled with BN and GIS. Background technique [0002] In my country's energy consumption structure, the proportion of coal consumption is much higher than that of others. With the continuous high demand for coal, coal mining conditions have become more and more complex. Groundwater in the floor aquifer and roof and floor aquifer enters the roadway through various channels, causing water accidents or blocking the normal production of the mining face The number of examples is increasing and becoming more serious. In 2005 alone, there were 109 water disasters nationwide, with 60...

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 Patents(China)
IPC IPC(8): G06F19/00G06N3/12
Inventor 董东林孙文洁钱增江李志明王佟张杰董淑韵宋超
Owner CHINA UNIV OF MINING & TECH (BEIJING)
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