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Relative entropy prediction method for relative complexity degree of mine unexploited area structure

A technology with a high degree of complexity and relative entropy, applied in prediction, data processing applications, instruments, etc., can solve problems such as incompleteness

Active Publication Date: 2017-09-15
XIAN UNIV OF SCI & TECH +1
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Problems solved by technology

At present, there are unique methods for the quantitative evaluation of the complexity of geological structures, such as the equivalence block index method, artificial intelligence method, fuzzy mathematics method, geometric fractal method and clustering method, etc. These methods have certain limitations and are not perfect

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  • Relative entropy prediction method for relative complexity degree of mine unexploited area structure
  • Relative entropy prediction method for relative complexity degree of mine unexploited area structure
  • Relative entropy prediction method for relative complexity degree of mine unexploited area structure

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Embodiment Construction

[0037] Such as figure 1 The relative entropy prediction method of the relative complexity of a kind of mine unmined area structure shown, comprises the following steps:

[0038] Step 1. Dividing the mined area of ​​the mine field into grid-shaped equivalence blocks of the mined area formed by a plurality of cells;

[0039] Specifically, use the contour map of the coal seam floor of a certain mine field as the base map to divide the grid-shaped isotropic blocks of the mined area, and determine the direction of the cells in the mined area's grid-like isotropic blocks according to the advancing direction of the working face in the mine field It is north-south and east-west, the shape of the cell is square, and the size of the cell is 200m×200m;

[0040] Step 2. Obtain the evaluation index data of the mined area of ​​the mining area through the grid-shaped equivalence block of the mined area. The evaluation index data includes fold type, fault number, fault scale, coal seam thick...

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Abstract

The invention discloses a relative entropy prediction method for a relative complexity degree of a mine unexploited area structure. The relative entropy prediction method comprises the steps of: acquiring evaluation index data of an exploited area, wherein the evaluation index data comprises three structural type index data including fold type, fault amount and fault scale; calculating a relative entropy actual value S of a relative complexity degree of the exploited area mainly according to the structural type index data; substituting the relative entropy actual value S of the relative complexity degree of the exploited area and non-structural type index data into a formula S=beta<0>+beta<1>x<1>+...+ betax, so as to calculate a relationship parameter beta and a relationship constant beta<0>; verifying the relationship parameter beta, and then substituting the relationship parameter beta, the relationship constant beta<0> and non-structural type index data X of a mine well field unexploited area into a formula S'= beta<0>+beta<1>X<1>+...+ betaX, so as to calculate relative entropy S' of the relative complexity degree of the mine well field unexploited area; and finally judging a complexity degree level corresponding to the relative entropy S' of the relative complexity degree of the mine well field unexploited area by utilizing a relationship comparison table of structural relative complexity degrees and relative entropy. The relative entropy prediction method is simple in operation, and has good prediction effect.

Description

technical field [0001] The invention belongs to the technical field of mine mining, and in particular relates to a relative entropy prediction method for the relative complexity of the unmined area structure of a mine. Background technique [0002] The use of coal mine mechanized mining technology needs to evaluate and predict the mining geological conditions first, and the mine geological structure is the most important factor in the mining geological conditions. The mine geological structure will affect the coal mine mining deployment and safe mining. The complexity of the mine structure not only determines It not only affects the design of coal mine shaft type and the selection of development methods, but also has an important impact on mine water inrush, deformation of surrounding rock, and coal and gas outburst. Therefore, the evaluation and prediction of mine structure complexity is an important part of modern mine construction. [0003] Quantitative evaluation of min...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/02
CPCG06Q10/04G06Q50/02
Inventor 杜荣军夏玉成
Owner XIAN UNIV OF SCI & TECH
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