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Goaf dangerous jamb identification method

An identification method and goaf technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of low strength and low strength of ore pillar groups

Active Publication Date: 2019-12-20
CENT SOUTH UNIV
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, most of the goaf pillars have strong heterogeneity, and the size of the pillars is greatly different due to the impact of the mining process, resulting in the bearing capacity of the pillar group is far lower than the sum of the strength of a single pillar

Method used

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Embodiment Construction

[0056] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0057] see figure 1 , this embodiment discloses a method for identifying dangerous pillars in a goaf, including the following steps:

[0058] Step S1: Input the planar layout of the goaf pillar group and the critical pillar bearing area for roof instability;

[0059] Step S2: Based on the planar layout of the pillar group in the goaf, use image processing technology to obtain the geometric size parameters of each pillar in the pillar group, including bearing area, perimeter and geometric center coordinates of the cross section;

[0060] Step S3: Calculating the strength and load of each ore pillar by using the geometric dimension parameters;

[0061] Step S4: Determine the distribution of mechanical parameters of the ore pillar rock mass according to the measured data of the on-site geological survey; this step is not limited to certain speci...

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Abstract

The invention discloses a goaf dangerous jamb identification method which comprises the following steps: assuming that any jamb i in a jamb group is unstable, and calculating an instability risk valueof the jamb i according to the following steps; 1, removing the unstable ore pillars from a jamb group, and distributing loads of the unstable jambs to remaining ore pillars in the jamb group; updating the load and the safety coefficient of each remaining jamb in the ore pillar group; 2, if jambs with the safety coefficients lower than a critical value exist in the remaining jamb groups, and thesum of the bearing areas of all the jambs in the remaining jamb groups is larger than the critical jamb bearing area of roof instability, any jamb with the safety coefficient lower than the critical value in the remaining jambs of the jamb groups serveing as a new unstable jamb, and executing the step 1 again; otherwise, executing the step 3; 3, obtaining an instability risk value according to theinstability probability of the jamb i and the loss amount of the bearing area of the remaining jamb in the jamb group after instability of the jamb i; wherein the jamb with the large instability riskvalue is the dangerous jamb. According to the invention, goaf dangerous jamb identification can be realized.

Description

technical field [0001] The invention belongs to the technical field of early warning of underground mine disasters, and in particular relates to a method for identifying dangerous pillars in goafs. Background technique [0002] As the lifeblood of national economic development, the mining industry has left an astonishing number of underground goafs with the extraction of a large amount of ore. The State Council issued a document in 2016 requiring metal and non-metal mines across the country to complete the investigation and treatment of hidden dangers in the remaining gobs by the end of 2018. In order to ensure the stability of the overlying strata while mining ore, ore pillars are usually left as permanent or temporary support. Different from the civil structures with regular shapes on the ground, the size of the underground mine pillars varies greatly, the mechanical parameters of the rock mass are distributed unevenly, and the strength deteriorates significantly after be...

Claims

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Application Information

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IPC IPC(8): G06F17/50
Inventor 周子龙张静臧海智杜雪明王海泉蔡鑫林成龙
Owner CENT SOUTH UNIV
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