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A method for identifying deformation and cracking of surrounding rock in coal mine roadway based on association rule mining

A technology of surrounding rock deformation and coal mine roadway, which is applied in the field of association rule extraction by the rapidly evolving genetic network planning algorithm, can solve the problems of large number of rules, uneven quality, and slow evolution, so as to improve performance, evolution efficiency, and improvement Effects of Rule Mining Quality

Active Publication Date: 2021-02-02
CHINA UNIV OF MINING & TECH
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Problems solved by technology

However, with the increase of attributes, the number of nodes in the GNP network structure increases, resulting in the slow evolution of genetic network planning and mining rules, the number of rules is large, and the quality varies.

Method used

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  • A method for identifying deformation and cracking of surrounding rock in coal mine roadway based on association rule mining
  • A method for identifying deformation and cracking of surrounding rock in coal mine roadway based on association rule mining
  • A method for identifying deformation and cracking of surrounding rock in coal mine roadway based on association rule mining

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Embodiment Construction

[0043] The technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0044] According to the preprocessing of the monitoring historical data of the specific area of ​​the surrounding rock in the underground roadway of the coal mine, a transactional data set D that integrates the physical and mechanical attributes of the surrounding rock and the structural state attributes of the surrounding rock is formed. Each record in the data set is regarded as a "transactional data", denoted as d i .

[0045] D = {d1 , d 2 ,...,d i ,...,d n}

[0046] Such as figure 1 As shown, a rapidly evolving genetic network planning data mining algorithm includes a rule extraction mechanism and a data classification mechanism. The steps are as follows:

[0047] Step 1: Use the rapidly evolving genetic network planning algorithm to mine the association rules of the physical and mechanical attributes of the surrounding rock and ...

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Abstract

The invention discloses a coal mine tunnel surrounding rock deformation and fracture identification method based on association rule mining. The method comprises the following steps: firstly, mining attribute data of surrounding rock monitoring by adopting an information gain genetic network planning algorithm, extracting association rules, and constructing a rule base; then, based on an average fitness formula, calculating the matching degree between the data and the rules, and mapping the training data to an average fitness space; and finally, constructing a distance-based surrounding rock deformation and fracture detection model in the average fitness space to realize identification of surrounding rock deformation and fracture of the coal mine tunnel. According to the invention, a largeamount of hidden mechanism information in surrounding rock monitoring data can be mined, and a reference basis can be provided for prevention and control of disaster accidents such as roadway roof fall and rock burst.

Description

technical field [0001] The invention belongs to the field of long-period monitoring of surrounding rocks in coal mine roadways, and in particular relates to a method for extracting association rules by a rapidly evolving genetic network programming algorithm. Background technique [0002] The safety of deep coal mine shafts has always been an important issue in the safe mining of coal mines. The known main causes of coal mine safety accidents and disasters such as roof fall, rock burst, and rockburst are caused by the instability of the surrounding rock of the roadway. Therefore, long-period monitoring of coal mine roadway surrounding rock is an important means to prevent coal mine safety accidents and disasters and improve economic benefits. The existing monitoring technology can obtain a large amount of data information related to the state of the surrounding rock structure from multiple fields such as coal and rock structure, stress field, geoelectric field, and seismic ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/2458G06N3/12
CPCG06N3/126G06F16/2465
Inventor 芦楠楠肖晗晗陈永珩陈岩孙彦景马占国靖洪文
Owner CHINA UNIV OF MINING & TECH
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