未确知聚类在评价井下空气质量中的应用

Application of Unascertained Clustering on the Underground Air Quality Evaluation

提出一种基于未确知聚类的井下空气评价模型。参考井下空气质量标准,并确定污染成分为CO2、CO、SO2、NO2、和H2S 5种气体。利用未确知聚类计算各空气等级的类中心,确定各样本的隶属度,对样本进行分类。实现了对井下空气质量的评价。结果表明实验数据与实际情况相吻合。

In this paper,it proposed an underground air evaluation model based on the unascertained clustering.It referred to the underground air quality standards,and determined the pollution components,which included carbon dioxide,carbon monoxide,sulfur dioxide,nitrogen dioxide,and hydrogen sulfide.It used unascertained clustering to calculate the class center of each air rank,and determined the membership degree of the samples,then classified the samples.The evaluation of underground air quality was achieved.The results showed that the experimental data were consistent with the actual situation.