Overlying strata fissure zone influence factor weight analysis method based on grey system theory

A technology of grey system theory and influencing factors, which is applied in the field of weight analysis of influencing factors of overlying fissures based on grey system theory, can solve the problems of incomplete and unspecified sensitivity analysis of the development height factors of water-conducting fissures in mines, etc. To achieve the effect of reducing the occurrence of underwater mining disasters

Pending Publication Date: 2020-02-07
CCTEG CHINA COAL RES INST
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Problems solved by technology

[0004] In order to solve the problem of incomplete and non-specific sensitivity analysis of the factors affecting the development height of the water-conducting fracture zone in mines, and to provide a basis for the prevention and control of water disasters in coal mining under the overburden aquifer, effectively reduce the occurrence of underwater mining disasters, and guide coal mines Safe production, the present invention provides a weight analysis method based on the gray system theory of the factors affecting the fractured zone of the overlying rock, the specific technical scheme is as follows

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  • Overlying strata fissure zone influence factor weight analysis method based on grey system theory
  • Overlying strata fissure zone influence factor weight analysis method based on grey system theory
  • Overlying strata fissure zone influence factor weight analysis method based on grey system theory

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Embodiment 1

[0021] Based on the gray system theory, the weight analysis method of the influencing factors of the overlying rock fissure zone, the process is as follows figure 1 shown, including:

[0022] Step 1. Determine the relevant influencing factors of the development height of the hydraulic fracture zone of the mine to be analyzed, determine the category of the influencing factors according to the specific actual requirements of the mine, obtain the actual parameter set of each relevant influencing factor, and construct the initial matrix; where the development height of the hydraulic fracture zone is The relevant influencing factors include mining thickness, roof type, mining method, mining depth, working face length, working face width and working face location. In addition, the actual parameter values ​​of the relevant influencing factors include: in the roof type, the value of the hard roof is 1, the value of the medium-hard roof is 2, the value of the soft roof is 3, and the va...

Embodiment 2

[0030] Taking a total of 32 sets of on-site measured data in a water-conducting fracture zone in a mining area as an example, the mine to be analyzed is analyzed. Based on the gray system theory, the weight analysis method of the influencing factors of the overburden fracture zone includes:

[0031] Step 1: Determine the relevant influencing factors of the development height of the water-conducting fracture zone of the mine to be analyzed, obtain the actual parameter set of each relevant influencing factor, and construct the initial matrix. Specifically, 32 sets of on-site measured data of the water-conducting fissure zone in the mining area were collected as the target data, and the mining thickness, roof type, mining method, mining depth, working face length, working face width and working face position that affect the development height of the water-conducting fissure zone were used as target data. 7 factors, including 7 factors, are used as influencing factors to form the i...

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Abstract

The invention provides an overlying strata fissure zone influence factor weight analysis method based on a grey system theory. The method relates to the technical field of mine exploitation water disaster prevention and control, and comprises the steps of firstly, determining influence factors of the development height of the overlying strata water flowing fractured zone after coal seam exploitation to be evaluated, performing dimensionless processing on specific parameters of all the influence factors, and an initial matrix of a grey correlation analysis method is formed; then calculating anabsolute difference matrix and an association coefficient matrix, solving a maximum difference and a minimum difference, and obtaining a gray association degree of each influence factor; finally, according to the gray correlation degree, obtaining the weight sequence of the influence factors of the overlying strata damaged water flowing fractured zone, and mine water damage can be prevented and treated in a targeted mode according to the sequence. According to the method, the sensitivity problem of factors influencing the development height of the mine water flowing fractured zone is solved, abasis can be provided for water damage prevention and control of coal mining under the overlying strata aquifer, underwater mining disasters are effectively reduced, and coal mine safety production is guided.

Description

technical field [0001] The invention relates to the technical field of water disaster prevention and control in mine mining, in particular to a method for analyzing the weight of influencing factors of overlying rock fissure zones based on gray system theory. Background technique [0002] In the process of coal mining, mining overlying rock collapse fissures are the main form of overlying rock damage after mining. If the fissure zone develops and spreads to the overlying rock aquifer, the overlying rock fissures will easily form water-conducting channels, which will pose a safety hazard to coal mining. Therefore, the overlying rock damage fracture zone is highly developed and seriously affects the safety of coal mine production. The collapse fracture zone formed by coal seam mining is the result of the joint action of coal seam mining thickness, roof type, mining method, mining depth, working face length and width, and different parts of the working face under the complex in...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/02
CPCG06Q10/0635G06Q50/02
Inventor 贾林刚刘义新赵善坤吴作启赵立钦吕坤付兴玉丁鑫品毕忠伟
Owner CCTEG CHINA COAL RES INST
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