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Mine gas outburst amount prediction method

A gas emission and prediction method technology, applied in the field of prediction of gas emission in coal mines, can solve problems such as data distortion, inability to effectively extract and utilize useful information, and damage to data integrity

Inactive Publication Date: 2008-07-23
SUZHOU VOCATIONAL UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Most of the data comes from the data accumulated by coal mining enterprises over a long period of time. The data is huge and exists in different forms, which may cause data distortion or destroy data integrity during data collection.
These databases only provide simple queries on data, and cannot effectively extract and utilize useful information

Method used

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  • Mine gas outburst amount prediction method
  • Mine gas outburst amount prediction method
  • Mine gas outburst amount prediction method

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Embodiment Construction

[0029] The technical scheme of the present invention will be further described below in conjunction with the situation of a certain mine.

[0030] A mine has established a publicly available DSS decision support system. A large amount of gas information data has been stored in the database of the system. The data include coal seam burial depth, coal seam depth, gas content, mining intensity, adjacent layer distance, adjacent layer Gas content and gas emission.

[0031] The implementation steps are as follows:

[0032] 1. First construct an immune algorithm model based on distance concentration. The construction method is as described in the first step to the seventh step of the prediction process step 1 in the summary of the invention, and will not be repeated here;

[0033] 2. Obtain the sample data of coal seam burial depth, coal seam depth, gas content, mining intensity, adjacent layer distance, adjacent layer gas content and gas emission from the DSS database, and clean a...

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Abstract

The invention relates to a method for predicting the output amount of gas in the mine. It is characterized in that: building a immunity arithmetic mode based on distance density; attaining the sample data of bury depth, coal layer depth, gas content, producing strength, nearby layer distance, nearby layer gas content, and gas output amount to be treated and stored in the database; using said immunity arithmetic mode to cluster each characters of database to build the cluster grade list of said sample data of gas output amount; suing said immunity arithmetic to analyze said cluster grade list to attain their relationship; predicting the gas output amount at said working layer from actual detected data, according to said relationship.

Description

technical field [0001] The invention relates to a method for predicting gas gushing out in coal mines. Background technique [0002] In the process of coal mining, gas disasters and accidents are frequent, and major accidents such as gas explosions also occur from time to time. According to statistics, among coal mine safety accidents, gas explosion accidents are the accidents with the largest economic losses and the most casualties, and also the major accidents that cause the greatest social impact. Especially with the continuous increase of mining depth, the continuous improvement of the degree of mechanization, and the continuous enhancement of mining intensity, the amount of gas emission will further increase, and the management of gas disasters has increasingly become the focus of coal mine disaster prevention and control. The main information affecting gas emission includes: burial depth, coal seam depth, gas content, mining intensity, distance from adjacent layers, g...

Claims

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Application Information

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IPC IPC(8): G06F17/00G06F17/30
Inventor 刘韬刘亚娟王致杰
Owner SUZHOU VOCATIONAL UNIV