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Kriging interpolation-based rapid division method for outburst danger area of stope face

A Kriging interpolation and mining face technology, which is applied to mining equipment, earthwork drilling, mining equipment, etc., can solve the problems of large drilling engineering volume, large interference of human factors, and affecting production, so as to improve monitoring accuracy, Facilitate risk analysis and ensure the effect of early warning accuracy and efficiency

Pending Publication Date: 2021-11-02
CHONGQING UNIV
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Problems solved by technology

[0005] In view of the fact that the existing coal and gas outburst prediction methods have a large amount of drilling engineering, large interference from human factors, and usually affect production to a certain extent, continuous monitoring cannot be achieved in the time domain, and it is difficult to reflect in the form of point evaluation in the airspace. For the technical problems of the regional coal and rock stress environment during the mining disturbance process and the dynamic evolution process of coal and gas outburst danger, the present invention provides a method for quickly dividing the outburst danger area of ​​the mining face based on Kriging interpolation

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  • Kriging interpolation-based rapid division method for outburst danger area of stope face
  • Kriging interpolation-based rapid division method for outburst danger area of stope face
  • Kriging interpolation-based rapid division method for outburst danger area of stope face

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[0035] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further described below in conjunction with specific illustrations.

[0036] Please refer to Figure 1 to Figure 5 As shown, the Kriging interpolation-based fast division method for the prominent dangerous area of ​​the mining face provided by the present invention includes the following steps:

[0037] S1. Microseismic data monitoring and preprocessing: collect the microseismic monitoring data from the mining face through the data monitoring system, use the Holt exponential smoothing method to complete the data of the microseismic monitoring data, and accurately eliminate the mining construction in the mining face. The interference anomaly data of the mine safety monitoring data with time series attributes is obtained, and the microseismic data monitoring includes the spatial distribution characteristics of micro...

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Abstract

The invention provides a Kriging interpolation-based rapid division method for an outburst danger area of a stope face, which comprises the following steps of: monitoring and preprocessing micro-seismic data, quantifying the micro-seismic monitoring data, performing Kriging interpolation on the quantified micro-seismic monitoring data, and dividing the outburst danger area. According to the method, a micro-seismic monitoring technology is applied to a coal and gas outburst mine; dynamic evaluation based on micro-seismic monitoring data is established by taking a coal and gas outburst mechanism and geostatistics as theoretical basis and taking a GIS technology and a Kriging algorithm as research tools; the following problems are effectively solved: an existing coal and gas outburst prediction method is large in drilling work amount; the interference of human factors is large; furthermore, the production is generally influenced to a certain extent; continuous monitoring cannot be realized in time domain; a point evaluation form is embodied in space domain; and the regional coal rock stress environment and the coal and gas outburst danger dynamic evolution process in the mining disturbance process are difficult to reflect. The danger level visualization of the outburst danger area of the stope face is realized.

Description

technical field [0001] The invention relates to the technical field of safety monitoring and early warning of dynamic disasters in underground coal mines, in particular to a method for rapidly dividing outburst dangerous areas in mining working faces based on Kriging interpolation. Background technique [0002] In recent years, with the increasing depth and intensity of coal mining in my country, the threat of coal and gas outburst disasters has become more and more serious. As one of the most destructive and harmful dynamic disasters in coal mining, coal and gas outbursts have seriously threatened the lives of workers in the coal mining process. Therefore, effective and reasonable prediction of coal and gas outbursts is a guarantee Necessary measures for the normal operation of the mining process. [0003] As a key link in coal and gas outburst prediction, regional prediction is more controllable than other prediction methods in the prediction range. The existing regional...

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Application Information

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IPC IPC(8): E21F17/18
CPCE21F17/18Y02A90/30
Inventor 陈结张允瑞杜俊生蒲源源姜德义张志刚刘延宝赵旭生李日富
Owner CHONGQING UNIV
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