煤炭工程 ›› 2013, Vol. 45 ›› Issue (12): 84-87.doi: doi:10.11799/ce201312030

• 研究探讨 • 上一篇    下一篇

灰色马尔可夫模型在瓦斯涌出量预测中的应用

高保彬1,李回贵2,于水军2   

  1. 1. 河南理工大学安全科学与工程学院
    2. 河南理工大学
  • 收稿日期:2012-04-09 修回日期:2012-07-28 出版日期:2013-12-10 发布日期:2013-12-10
  • 通讯作者: 李回贵 E-mail:810862532@qq.com

Application of Gray Markov Model in Gas Emission Rate Prediction

  • Received:2012-04-09 Revised:2012-07-28 Online:2013-12-10 Published:2013-12-10

摘要:

瓦斯涌出量预测是采区延伸、开拓新水平和矿井生产必不可少的依据。通过对原始数据累加后,建立灰色预测模型,再根据实测值与灰色模型预测值的相对变化率划分状态建立转移矩阵,进行马尔可夫预测。通过现场实测值和预测值的对比分析,发现灰色马尔可夫预测模型比灰色预测模型最大相对误差可以减少14.23%,平均相对误差可以减少5.78%。实证结果表明,笔者提出的灰色马尔可夫预测模型能够能更好的预测矿井瓦斯涌出量。

关键词: 瓦斯涌出量预测, 灰色模型, 马尔可夫模型, 灰色马尔可夫模型, MATLAB

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