摘要
矿井瓦斯涌出量与煤层埋藏深度密切相关,文章以不同煤层埋藏深度及其相对瓦斯涌出量数据为原始序列,将非等间隔序列转化为等间隔序列,通过灰色处理建立微分方程预测模型,使用灰色预测模型预测了采深增加后的未开采区瓦斯涌出量大小,对开采下部煤层时瓦斯治理工作提供了数据支持。
There was a close relation between the mine gas emission value and the seam deposit depth.With the different seam deposit depth and the related gas emission value data as the original sequence,the unequal interval sequence was converted into the equal interval sequence.With the grey processing to establish a differential equation prediction model,the grey prediction model was applied to predict the gas emission size from the unmined block when the mining depth increased and to provide the data support for the gas prevention and control when the below seam to be mined.
出处
《煤炭工程》
北大核心
2010年第9期85-87,共3页
Coal Engineering
基金
贵州省科技厅国际合作项目(黔科通(2009)80号)
教育部春晖计划项目(教外司留[2008]704号)
贵州省科技厅工业攻关项目(黔科合GY字[2006]3029)
国家科技支撑计划专题项目(2007BAB08B01(合))
关键词
灰色理论
瓦斯涌出量
预测模型
grey theory
gas emission value
prediction model
