摘要
矿井回采面瓦斯涌出量预测是防止矿井瓦斯超限的前瞻性基础工作。针对煤矿现场实时瓦斯涌出量监测值,研究了基于Monet Carlo方法的瓦斯涌出量预测方法,并建立了计算机预测模型,通过模型找出数据中蕴含的随机性和统计规律性,对后续生产过程的瓦斯涌出量进行预测。结果表明模型预测精度较高,为矿井瓦斯治理工作提供了有力支持。
Prediction of working face gas emission is a foundation for the prevention of gas over- limit. According the mine gas monitoring data,a new prediction method for gas emission was proposed based on Monte Carlo method,a model was established,using which the randomness and the statistical rule of data was concluded. Application of this model shows that,the prediction accuracy of the proposed method is favorable.
出处
《煤炭工程》
北大核心
2015年第3期83-85,89,共4页
Coal Engineering
