Prediction of Mine Gas Emission Based on Time Series Analysis

被引：0

作者：

Meng, Hai-dong ^{[1
]}

Zang, Dong-yuan ^{[1
]}

Song, Yu-chen ^{[1
]}

机构：

[1] Inner Mongolia Univ Sci & Technol, Sch Min Engn, Baotou 014010, Peoples R China

来源：

SUSTAINABLE DEVELOPMENT OF NATURAL RESOURCES, PTS 1-3 | 2013年 / 616-618卷

关键词：

coal mine; prediction of mine gas emission; time series analysis;

D O I：

10.4028/www.scientific.net/AMR.616-618.450

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Because the variation of mine gas concentration is influenced by various factors, so it's impossible for traditional prediction methods of mine gas emission to include all the factors. To solve the problem, the paper proposed a prediction method of mine gas emission based on AR model of time series analysis. The experiment results indicated that the method can predict mine gas emission accurately.

引用

页码：450 / 454

页数：5