| Mine water inrush accident is seriously affecting coal production safety in China.Timely and accurate recognition of mine water inrush water is a prerequisite forprevention of mine water inrush accident. In order to ensure the safety of mineproduction, it is necessary to discover the mine water quality changes in time, tounderstand the rules of this change, take the necessary measures to eliminate hiddendanger at the same time, the guarantee of the mine personnel life safety and propertysafety of the mine. Water chemistry data analysis method can fast accurate recognitionof mine water inrush water, through some effective recognition theory, establish thecorresponding mathematical model, identification of water inrush water. Adopt themethod of multiple sensor information fusion recognition of mine water inrush watersources, is currently the trend of development. Research on the theory of multiplesensor information fusion is a frontier study.This paper first introduces the main types of mine water in China, the commonlyused mine water source identification method, identification index and the basictheory of multi-sensor information fusion, general framework and the commonly usedmethod. Secondly, this paper illustrates the basic ideas and method of grey correlationmathematical model, and through the MATLAB software, treat to water samples,which can identify recognition result accuracy is75%; Then, this paper describes thebasic idea of bayes discriminant method, and establishes the mathematical model ofmine water, using MATLAB software to found water simulation, the result accuracyis65%; After using cluster analysis method to establish discriminant model of minewater, discriminant pending water samples by MATLAB software simulation, theresult accuracy of70%. Finally, the paper introduces the laboratory water qualityanalysis instrument design and implementation. Produced water quality analysisinstrument can online collection temperature, pH and conductivity of three indicatorsdata. |
PDF Full Text Request