Study On Spontaneous Combustion Of Coal Based On LVQ Neural Network Forecasting System

Spontaneous combustion of coal seam is one of the important causes of coal mine fire,which not only restricts the development of the coal economics,but also poses a danger to production of coal mine.It is very vital to make the early prediction of coal spontaneous combustion.Presenting a prediction system of coal spontaneous combustion based on LVQ neural network after studying spontaneous combustion mechanism of coal,and the present situation of prediction of coal spontaneous combustion.Spontaneous combustion of coal based on LVQ neural network forecasting system uses the beam tube system collects underground gas.The gas was put into chromatograph and the data of gas concentration was got.Then the LVQ neural network was be used to make a judgment on whether coal spontaneous combustion.Through studying the data of Tangshan Donghuantuo coal samples oxidation experiment,the ratio of CH4 to CO and O2 to CO2 and CO to O2 were chose as the network's input.It overcomes the shortcomings of traditional index gas method which was easily effected by the draft conditions.The output of the network is 1 and 2.Using LVQ neural network is more fast more stable and more accurate than BP network model in forecasting coal spontaneous combustion through the simulation of MATLAB.When the network was input the datas that out of the training samples,the network will quickly make an accurate prediction of coal spontaneous combustion.Spontaneous combustion of coal based on BP neural network forecasting system solves the problem of modeling.It overcomes the influence of ventilation tube system defects,and improves the forecasting accuracy.