Method for identifying mine water-inrush source

A technology for water source layer identification and mine water inrush, which is applied in the direction of water testing, special data processing applications, material inspection products, etc., and can solve the problems of strong subjectivity in evaluation

Inactive Publication Date: 2014-03-05
CHINA UNIV OF GEOSCIENCES (WUHAN)
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Problems solved by technology

[0003] At present, there are many methods for judging the source of water inrush, such as fuzzy evaluation method, fuzzy cluster analysis, gray relational degree method, etc., but these methods must assume the model in advance or specify some parameters subjectively, which makes the evaluation highly subjective

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  • Method for identifying mine water-inrush source
  • Method for identifying mine water-inrush source
  • Method for identifying mine water-inrush source

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Embodiment 1

[0068] Embodiment 1: a kind of mine water inrush water source layer identification method provided by the present invention, its identification process is as follows figure 2 as shown,

[0069] Step 1. Obtain known mine water source sample data.

[0070] The 39 water source samples of a certain mine were collected from 4 main aquifers: two ash and Ordovician aquifers, eight ash aquifers, roof sandstone aquifers and Quaternary aquifers (sand gravels are dominated by limestone) host). Na in each source water sample + , K + , Ca 2+ , Mg 2+ , Cl - , SO 4 2- and HCO 3 - The contents of seven ions were used as discriminant factors, and the discriminant models were established using LS-SVM model and PSO-LS-SVM model respectively, and the performance of the models was comprehensively evaluated. Table 1 presents the water chemistry data of the mine's main aquifer, that is, the ion concentration.

[0071] Table 1 Water chemistry data of main aquifers in the mine

[0072] ...

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Abstract

The invention relates to a method for identifying a mine water-inrush source. On the basis of obtaining main aquifer types of a mine, water chemical data of each aquifer are extracted, and a classification model between the water chemical data and the aquifers is built. A mine water-inrush source classification and identification model is built through the method of a particle swarm optimization classifier, testing samples are detected through the built mine water-inrush source classification and identification model, and mine water source identification based on LSSVM and mine water source identification based on LS-SVM of particle swarm optimization are compared. The detection result shows that the method is obviously better than an LS-SVM model not adopting PSO model optimization and well overcomes the defect that as an existing water-inrush layer water source identification method needs to suppose a mode in advance or subjectively stipulate some parameters, the subjectivity of the evaluation result is high. The method of building the models is more scientific, and the built PSO-LS-SVM module has good generalization ability.

Description

technical field [0001] The invention relates to a method for identifying a mine water inrush source layer. Background technique [0002] In the process of coal mine production, mine water inrush is a natural disaster with high frequency and serious harm. Once mine water inrush will threaten the safety of coal mine mining, cause huge economic losses, and even endanger the personal safety of miners. Timely and effective identification of changes in mine water sources can provide a basis for the identification and prediction of water inrush, and is the premise of preventing and controlling water inrush disasters. The key to mine water source identification is to choose an appropriate water source identification method. [0003] At present, there are many methods for judging the source of water inrush, such as fuzzy evaluation method, fuzzy cluster analysis, gray relational degree method, etc., but these methods must assume the model in advance or specify some parameters subject...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/00G06F17/50G01N33/18
Inventor 龚珍胡友健
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)
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