The Application Of Gas Emission Prediction Based On IACA-WNN Algorithm And The Investigation On Control Techniques

Gas accident is the first problem that affects the safety production of coal mine.Accurate prediction of gas emission in mine is the foundation of effective prevention and control of gas disaster.It is of great significance to ensure the safety production of coal mine by constructing the prediction model of gas emission quantity and can effectively realize the dynamic prediction target of gas emission in coal mine.On the basis of a fully mechanized mining face in Shaanxi Chenghe,according to the 5?coal bed geological situation,analysis of the actual situation of gas occurrence factors,based on grey relational analysis method,obtained the correlation degree between each influence factor and gas content,indicates that the main factors affecting the mine gas amount for thickness and buried depth of coal seam.By comparing the present research situation of the existing gas emission prediction method and analysising the deficiency of these prediction methods,puts forward a kind of based on improved ant colony algorithm and wavelet neural network coupling(IACA-WNN)of gas emission prediction model.Based on two main control factors,respectively established integrated neural network(BP)and ant colony algorithm-the BP neural network(ACA-BP),ant colony algorithm-wavelet neural network(ACA-WNN)and IACA-WNN gas emission prediction model under the action of the coal seam thickness and buried depth,and given the algorithm coding of each model and four models prediction error algorithm coding.By using MATLAB software to calculate the four prediction model algorithms respectively,and compared the actual data in the spot,it is concluded that the error of IACA-WNN gas emission prediction model is the smallest,the highest precision and the best convergence effect.Through the analysis of the mine gas prevention and control measures of fully mechanized working face,On the basis of existing measures and combined with previous prediction results,put forward more suitable for actual underground gas prevention and control technology measures and safety management measures of fully mechanized working face,through the practice has proved that the measures has an important guiding significance to the safety production of fully mechanized working face.