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
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[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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x
, 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>+...+ beta
X
, 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.
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