An auxiliary method for early warning of water inrush disaster in coal mine

Abstract

The invention provides an auxiliary method for early warning of coal mine water inrush disaster, which comprises the following steps: establishing an evaluation index system of a key monitoring area;calculating the data of a continuity evaluation index of any point in the study area through Kriging interpolation to obtain the continuity evaluation index data of a spatial evaluation point in the study area; and calculating the continuity evaluation index data of the spatial evaluation point in the study area. The discontinuous evaluation index is transformed into continuous evaluation index byrisk index. At least one evaluation index is obtained by the statistical algorithm of the evaluation index. The at least one evaluation index is inputted into a BP artificial neural network model designed by the ANN, the risk factors of each spatial evaluation point are outputted, and the key monitoring area is determined. The auxiliary method of water inrush disaster early warning provided by the invention can carry out grade evaluation on the water inrush early warning monitoring area of the coal mine, delineate the key monitoring position, optimize the field arrangement of the early warning system, and improve the early warning capability and the early warning accuracy of the early warning system.

Description

technical field [0001] The invention belongs to the technical field of early warning of water inrush disasters in coal mines, and in particular relates to an auxiliary method for early warning of water inrush disasters in coal mines. Background technique [0002] Coal mine water inrush is one of the five major disasters in coal mines, often causing heavy property losses and casualties, and has become an important factor restricting coal mine safety production. Rapid and accurate prediction of water inrush is the guarantee of coal mine safety production, and its accurate prediction, forecast and evaluation have very important theoretical guiding significance and practical value. [0003] In order to reduce the occurrence of coal mine water disasters, there are many early warning methods for coal mine water inrush disasters in the prior art, such as the use of photography and water quality monitoring methods for early warning of coal mine water inrush disasters, and the chemic...

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Problems solved by technology

[0004] However, coal mine water inrush is a multi-factor, nonlinear spatial problem. The prediction of coal mine water inrush involves many factors such as hydrogeology, rock mechanics, and mining conditions. There are complex nonlinear relationships among various factors, and it is difficult to predict the location of water inrush points. Big

The coal mine water inrush disaster warning method in the prior art often has complex data pre-processing, high modeling accuracy requirements, and unsatisfactory modeling results, often because there is no precursory information of water inrush monitoring, and the monitoring location is different from the actual water inrush location. , causing the early warning to fail

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