Multi-parameter aggregative indicator forecasting method of coal petrography dynamic disaster

Abstract

A multi-parameter aggregative indicator forecasting method of a coal petrography dynamic disaster is suitable for forecasting coal petrography dynamic disasters such as outburst of coal and gas and rock bust of coal and gas in a coal mine excavating process. When various index prediction methods are coupled in the same monitoring system, problems such as how to select importance degrees of various indicators and how to determine a critical value of the various indicators are produced. According to amplitude values of four indicators including electromagnetic radiation, slight shock, acoustic emission and gas density, an average value of the amplitude values in a normal level and the maximum value of the amplitude values of the four indicators when the coal petrography dynamic disasters happen at any moment, the multi-parameter aggregative indicator forecasting method of the coal petrography dynamic disaster determines a single indicator hazard index of the four indicators at the moment. The value of single index hazard index determines single index weights of the four indicators, and therefore an aggregative indicator hazard index of the four indicators is calculated, and finally a danger class of the coal petrography dynamic disaster which happens in an excavating roadway is determined according to the value of the aggregative indicator hazard index. The multi-parameter aggregative indicator forecasting method of the coal petrography dynamic disaster provides a critical value determination method and an early warning standard for the research and development of a multi-parameter monitoring system of the coal petrography dynamic disaster.

Description

technical field [0001] The invention belongs to the field of coal development in the energy technology, and is suitable for predicting coal and rock dynamic disasters such as coal and gas outburst and rock burst during the mining process of coal mines. Background technique [0002] The time, location, region, and source of coal-rock dynamic disasters are random, complex, diverse, and sudden, making the prediction of coal-rock dynamic disasters extremely difficult and complicated, and it is a worldwide problem that needs to be solved urgently. The key to the prediction of coal-rock dynamic disasters lies in the selection of prediction methods. Scholars at home and abroad have put forward many prediction methods after years of research. According to the continuity of the prediction process, coal-rock dynamic disaster prediction methods can be divided into index prediction method and continuous prediction method. Compared with the index prediction method, the continuous predi...

AI Technical Summary

Problems solved by technology

[0004] The present invention proposes a coal-rock dynamic disaster multi-parameter comprehensive index prediction method, aiming to solve the problem of selecting the importance of each index and critical value in the coupling process of various coal-rock dynamic disaster continuous prediction methods

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