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Method for accurately identifying spatial geometrical characteristics of coal mine goaf based on subsidence monitoring

A technology of geometric features and identification methods, applied in the direction of genetic models, genetic rules, special data processing applications, etc., can solve the problem of inability to accurately invert the detailed characteristic parameters of goafs, limit the development and utilization of abandoned goafs, and depend on interpretation accuracy and other issues to achieve the effect of improving accuracy and stability

Active Publication Date: 2018-11-06
ANHUI UNIV OF SCI & TECH
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AI Technical Summary

Problems solved by technology

However, conventional geophysical methods for detecting gobs, on the one hand, the accuracy of interpretation depends on the accuracy of prior knowledge, and on the other hand, they cannot accurately invert the detailed characteristic parameters of goafs (such as coal seam thickness, coal seam inclination, gob inclination Azimuth, mining depth, inclination length, strike length, goaf center coordinates), the above defects greatly limit the development and utilization of abandoned goafs

Method used

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  • Method for accurately identifying spatial geometrical characteristics of coal mine goaf based on subsidence monitoring
  • Method for accurately identifying spatial geometrical characteristics of coal mine goaf based on subsidence monitoring
  • Method for accurately identifying spatial geometrical characteristics of coal mine goaf based on subsidence monitoring

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Embodiment 1

[0051] combine figure 1 , a method for accurately identifying spatial geometric features of coal mine goafs based on subsidence monitoring, the method includes the following steps:

[0052] Step S1, constructing a quantitative relationship model between goaf characteristic parameters and surface subsidence;

[0053] The step S1 specifically includes the construction of a quantitative relationship model between rectangular gob parameters and surface subsidence, the content of which is as follows:

[0054] Assuming that the mining subsidence basin conforms to the probability integral method model, the subsidence value of any point (x, y) in the surface subsidence basin caused by the mining of the rectangular working face can be expressed as:

[0055]

[0056] Arbitrary point (x,y) along the specified direction The horizontal shift value of can be expressed as:

[0057]

[0058] in,

[0059] W 0 =Mqcosα 0

[0060]

[0061]

[0062]

[0063]

[0064] In t...

Embodiment 2

[0092] combine figure 2 with image 3 , specific engineering examples to illustrate the specific process and beneficial effects of the present invention. The 1414 (1) working face of Guqiao Coal Mine in Huainan Mining Area adopts comprehensive mechanized coal mining, mining full height at one time, and managing the roof by the whole caving method, and the working face recovery time is 343 days. The working face is arranged along the direction of the coal seam, and the mining size is 2115m×241m (the direction of the working face is fully mined, the tendency is not fully mined, and the overall is not fully mined)), the average mining height is 3.0m, and the average inclination angle of the coal seam is 5°. The average buried depth of the working face is 735m. The inclination observation line is arranged at 1144m and 976m from the cutting hole and stop production line, and a total of 3 control points and 50 monitoring points are arranged with a point spacing of 30m and a lengt...

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Abstract

The invention relates to a method for accurately identifying spatial geometrical characteristics of a coal mine goaf based on subsidence monitoring. The method comprises the following steps: firstly,defining eight parameters for characterizing the spatial geometrical characteristics of a rectangular coal mining goaf: m (mining height), alpha 0 (coal bed pitch), (the formula is shown in the specification) (heading azimuth angle of the goaf), H (central mining depth of the goaf), D3 (heading length of goaf) ), D1 (inclination direction length of the goaf), X0 (X-axis coordinate of the central plane of the goaf), and Y0 (Y axis coordinate of the central plane of the goaf); then, assuming that the coal mining surface subsidence form conforms to a probability integral method model, and deducing and establishing an observation equation of the spatial geometrical characteristic parameters of the goaf with respect to the surface movement and deformation on the basis; and finally, based on theestablished observation equation of the spatial geometrical characteristic parameters of the goaf, constructing a quantum genetic algorithm solution method of the spatial geometrical characteristic parameters of the goaf. By adoption of the method provided by the invention, the spatial geometrical characteristics of the goaf can be identified comprehensively in detail, and the accuracy and stability of inversion of the spatial geometrical characteristic parameters of the goaf are effectively improved.

Description

technical field [0001] The invention relates to the field of mine deformation monitoring and control, and more specifically relates to the field of precise identification of spatial geometric characteristics of goafs in coal mines based on subsidence monitoring. Background technique [0002] After coal mining, a large number of abandoned goafs are formed. On the one hand, the abandoned goafs often contain abundant water, gas, residual coal pillar resources and a large amount of available underground space; on the other hand, the abandoned old goafs can be According to the stability of the foundation, it is developed and utilized in different levels. For example, the stable abandoned goaf surface can be developed and utilized as engineering and construction foundations, and the unstable goaf surface can be developed as landscape land, etc. However, the prerequisite for how to turn abandoned goaf resources into treasures and fully develop and utilize them is to accurately dete...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06N3/00G06N3/12
CPCG06N3/006G06N3/126G06F30/20
Inventor 王磊魏涛蒋创方苏阳李楠池深深
Owner ANHUI UNIV OF SCI & TECH
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