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Mine shaft well engineering surrounding rock artificial intelligence stage division method

A classification method, artificial intelligence technology, applied in the field of engineering exploration, can solve problems such as interaction that cannot be considered

Inactive Publication Date: 2012-06-13
WUHAN SURVEYING GEOTECHN RES INST OF MCC
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  • Summary
  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, the classification and evaluation methods of engineering surrounding rock stability mostly use the data obtained from post-event geological surveys to analyze and determine empirical formulas through conventional deterministic probability statistics methods, and cannot consider the interaction between various factors that affect the stability of surrounding rock.

Method used

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  • Mine shaft well engineering surrounding rock artificial intelligence stage division method
  • Mine shaft well engineering surrounding rock artificial intelligence stage division method
  • Mine shaft well engineering surrounding rock artificial intelligence stage division method

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Experimental program
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Embodiment Construction

[0040] according to figure 1 , figure 2 As shown, a mine shaft engineering surrounding rock artificial intelligence classification method includes:

[0041] (1) Establishing a neural network model

[0042] The establishment of the neural network model is to determine the main factors that affect the stability of the surrounding rock, and determine the input and output information of the network model according to the main factors, and then establish the model structure and algorithm based on this.

[0043] Determine eight input variables and one output variable, and the established BP neural network model can be regarded as a highly nonlinear mapping from input to output, namely: R8→R1. input(x i ∈R8) and output (y i ∈R1), the BP neural network structure is as attached to the instruction figure 1 shown.

[0044] The number of neurons in the first layer is determined to be 18.

[0045] The number of neurons in the second hidden layer should be one-third of the first lay...

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Abstract

The invention provides a mine shaft well engineering surrounding rocks artificial intelligence stage division method which comprises the following steps: (1) establishing a nerve network model, (2) training a sample set, (3) carrying out network training and (4) carrying out network simulation. The invention has the following advantages: a network system is simple in operation, influence of artificial factors can be eliminated, an interaction relation between factors can be automatically found, and with regards to a shaft well project which lacks a deep part stage division experience, the system can solve stability stage division of a rock well under complex conditions of high ground stress, high underground water pressure, high ground temperature and the like at a shaft well deep part and has a strong engineering application value.

Description

technical field [0001] The invention relates to the technical field of engineering exploration, in particular to an artificial intelligence method for grading and evaluating the stability of surrounding rocks in shaft engineering, and is a scientific and reasonable quantitative grading method for surrounding rocks in shaft engineering, which can avoid the qualitative or semi-quantitative methods currently used. The defects of the classification method and eliminate the errors caused by human factors. Background technique [0002] At present, the classification and evaluation methods for the stability of surrounding rocks in engineering mostly use the data obtained after the geological surveys to be processed and analyzed by conventional deterministic probability statistics to determine empirical formulas, and the interaction between various factors that affect the stability of surrounding rocks cannot be considered. [0003] As the depth of mining continues to increase, the ...

Claims

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Application Information

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IPC IPC(8): G06N3/02
Inventor 赵建海万凯军李大毛杜坤乾
Owner WUHAN SURVEYING GEOTECHN RES INST OF MCC
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