Abstract:

Prediction on the mine gas emission rate is the absolutely foundation for districting extension, developing new level, as well as mining production. Setting up grey model forecast of using accumulate the original data, and Marko prediction of establishing a transfer matrix according to the measured values and grey model to predict the value of the relative change rate of divided state. Combined with field testing data, it is found after comparing the grey Markov model with the gray theory model that the maximum relative error can reduce 14.23%, and average relative error can reduce 5.78%. The empirical results show that the author puts forward the grey Markov prediction model can better predict the amount of mine gas emission.

Key words: prediction of gas emission, grey model, Markov model, grey Markov model, MATLAB