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Goaf danger critical degree prejudgment method

A goaf and dangerous technology, applied in the field of coal mine safety production, can solve the problem that the danger defense cannot play a role in predicting

Inactive Publication Date: 2017-09-22
INNER MONGOLIA UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

This patent does not play a role in predicting danger defense, it can only monitor when danger is about to happen

Method used

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Embodiment Construction

[0029] The following examples can enable those skilled in the art to understand the present invention more fully, but do not limit the present invention in any way.

[0030] As used herein, the terms "comprising", "including", "having", "comprising", "involving" and the like are to be construed as open-ended, ie, meaning including but not limited to. As used herein, the singular forms "a", "an" and "an" include plural referents unless the context clearly dictates otherwise. Thus, appearances of the phrase "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features may be combined in any suitable manner in one or more embodiments.

[0031] The foregoing outlines features of embodiments so that those skilled in the art may better understand aspects of the invention. Those skilled in the art should appreciate that they can readily use the present disclosu...

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Abstract

The invention belongs to the technical field of safety production in mines, and relates to a goaf roof-falling danger critical degree prejudgment method. The goaf roof-falling danger critical degree prejudgment method comprises the steps of firstly building a control index system of roof-falling danger of the goaf; dividing the roof-falling danger into four states, including, accident, hidden danger, crisis and safety; then obtaining main control indexes by using gray similar correlation based on the specific mining information and different geological data; building an optimal goaf roof-falling danger ultimate learning machine model through learning and training; and composing the data of the to-be-measured goaf roof-falling danger main control indexes into an input to obtain a goaf roof-falling danger level, thereby realizing the goaf roof-falling danger critical degree prejudgment. The goaf danger critical degree prejudgment method gives comprehensive consideration to the influence from each parameters of the mine mining information and the mineral geological data to the roof-falling danger and the correlation therebetween, guarantees scientific and reliable selection of control parameters, and provides judgment basis and reference for identification and prediction of the overall safety of the goaf of metal mining and the goaf stoped by coal mine workers.

Description

technical field [0001] The invention relates to the technical field of coal mine safety production, and more specifically, to a method for predicting the critical degree of danger in a goaf. Background technique [0002] With the increase of service life and the deterioration of mining conditions, the distribution of mined-out areas has become increasingly complex and the volume has continued to increase, which has brought increasingly serious safety hazards to deep ore body mining, shallow residual ore recovery, and surface building use. When the area of ​​the goaf on the hard roof exceeds a certain limit, large-scale caving will be caused, and the area of ​​one caving can range from thousands of square meters to tens of thousands of square meters. Such a large-area roof falling down in a very short period of time will not only produce serious impact and destructive force due to the effect of weight, but more seriously, the air in the mined space will be discharged instantl...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/02G06N3/08
CPCG06N3/08G06Q10/04G06Q50/02
Inventor 孙明郑文翔段晓博
Owner INNER MONGOLIA UNIV OF SCI & TECH
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