Prediction method of small-scale structures in front of tunneled mine coal-shift based on ANN

Abstract

The invention discloses a prediction method comprising the following steps: based on the analysis and the understanding of geological conditions, the growth characteristics and the law of the fracturestructure and the like in a researched area, firstly analyzing and determining influencing factors closely related to the researched area as well as the distribution and the growth of a coal-bed small-scale structure; establishing an ANN forecasting and prediction model based on the looping principle; and finally developing a mine small-scale structure forecasting and prediction information system. The invention provides a set of complete theory system and working methods for the forecasting and the prediction of mine small-scale structures; the method introduces the looping theory and the ANN coupling technique into the forecasting and the prediction of the small-scale structures in front of the tunneled mine coal-shift for the first time; the artificial neural network used for the quantitative evaluation and prediction provides a comprehensive evaluation model which is close to the human thinking model and combines the qualitative evaluation and the quantitative evaluation, and therefore, the method has enough precision; and by utilizing the information of the abundant and cheap coal bed which is exposed in the coal-shift tunneling process and closely related to the distributionand the growth of the small-scale structures, the method needs low cost and well reflects the characteristics and the information of the distribution and the growth of the small-scale structures.

Description

Technical field [0001] The invention relates to a method for predicting and forecasting geological structures in the process of coal mine construction and production, in particular to a method for predicting and forecasting small structures in front of coal roadway excavation that are generally difficult to be detected and have the characteristics of concealed development rules and limited development scale. Background technique [0002] Small structures refer to small faults with a fault throw less than 5m or some small-scale fractures and dissolved crevices. In the process of mine construction or production, these small structures have a great influence and safety threat on roadway excavation and working face mining. Integrity and stability, forming a relatively hidden gushing (outburst) water channel. These passages will significantly increase the water inflow in construction or production mines, increase the drainage costs of mines, and increase the cost per ton of coal...

AI Technical Summary

Problems solved by technology

[0004] Although these traditional methods have played a positive role in solving the problem of mine geological structure prediction, they are difficult to solve due to the high cost of detection and the interpretation of multiple solutions, or the limited accuracy, or the predicted structure is too macroscopic to solve the problem of small structures. Forecasting and forecasting, etc., so the traditional method fails to predict the small structure of the mine, especially fails to solve the problem of small structure prediction in the small space scale in front of the roadway or the mining face during the mine excavation process

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