Equipment and method for comprehensively and rapidly judging water bursting source of mine

Abstract

The invention discloses equipment and a method for comprehensively and rapidly judging a water bursting source of a mine. The equipment comprises a water level sensor, a light-splitting light path module, a water temperature sensor, an analog-digital converter, a CPU (central processing unit) and a displayer, wherein signal output ends of the water level sensor, the light-splitting light path module and the water temperature sensor are connected with a signal input end of the CPU through the analog-digital converter; and a signal output end of the CPU is connected with the displayer. According to the equipment and the method for comprehensively and rapidly judging the water bursting source of the mine, a mine water bursting source comprehensive judgment model is composited with a conventional hydrochemical analysis method, a conventional water level analysis judgment method and a conventional water temperature analysis judgment method, so that defects in the three conventional methods can be mutually made up, the reliability of a mine water bursting source comprehensive judgment result is improved, the error rate of a mine water bursting source comprehensive judgment is reduced, and a more accurate mine water bursting source comprehensive judgment result is obtained accordingly.

Description

technical field [0001] The invention relates to the technical field of mine hydrogeology and water chemistry testing, in particular to a comprehensive and rapid identification device and method for mine water inrush sources. Background technique [0002] The formation and occurrence of mine water hazards have a changing process from gestation, accumulation, evolution, development to sudden outbreak. In different stages of this complex process of change, signs of water inrush to varying degrees will often appear or be exposed from different aspects. Traditional water inrush source identification often uses the following three methods alone: [0003] 1) Water chemistry analysis and discrimination method, the water chemistry identification module uses fuzzy comprehensive discrimination method, gray correlation method, fuzzy recognition method, artificial neural network method, system cluster analysis method, and reduced gradient method to establish a water inrush discriminatio...

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Problems solved by technology

[0006] Practice has proved that using the above three methods alone to identify water inrush sources will cause problems such as high error rate and low identification accuracy due to the relatively single basis for identification.

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