基于云计算模型的煤矿井下瓦斯预警研究

Research on Gas Early Warning of Coal Mine Based on Cloud Computing Model

通过对瓦斯浓度监测数据预处理方法系统分析,寻找其变化规律。提取样本灰色关联度均值以及95%和97%的样本置信上限,进行预警等级的划分,建立了基于云计算模型的煤矿井下瓦斯预警模型。以宁煤集团矿井瓦斯监测数据为例进行研究,实现了瓦斯浓度的实时预警。

Based on the cloud computing technology, analyzes the characteristics of the gas concentration monitoring data, finds its change rule, extracts the mean value of the gray correlation degree of the sample,and 95% and 97% of the upper confidence limit of the sample. The classification of the warning level is established,and the cloud-coal mine gas warning model,to achieve a real-time warning of gas concentration.