基于模糊聚类的矿井环境监测技术研究  

Research of Environmental Monitoring Technology in Mine Based on Fuzzy Clustering

作　　者：刘晓梅[1] 张俊[2] 

机构地区：[1]山东万杰医学院,山东淄博2552132 [2]芜湖职业技术学院,安徽芜湖241000

出　　处：《煤炭技术》2013年第9期161-163,共3页Coal Technology

摘　　要：矿井监测数据纷繁复杂,为了在海量的数据中提取有效数据进行预警分析,文章采用模糊聚类实现对矿井环境监测数据的分析处理,对矿井环境监测数据分析结构做了简要说明,接着分析模糊聚类C聚类均值算法(FCM),最后采用公共数据库一组矿井监测数据样本进行实例仿真。实验证明,该算法在处理大数据样本时有一定的优势,具有一定的研究价值。The mine monitoring data is complicated, in order to extract effective data in data analyses, this paper uses the fuzzy clustering analysis of the mine environment monitoring data. This paper first on the mine environmental monitoring data analysis of structures is briefly described,then the fuzzy clustering analysis of C clustering k-means algorithm （FCM）, the public database ot a group of mine monitoring data samples are examples of simulation, experiments show that, this algorithm has certain advantage in processing large data samples, it has certain research value

关 键 词：矿井环境监测 模糊聚类 FCM 

分 类 号：TD76[矿业工程—矿井通风与安全] TP311.13[自动化与计算机技术—计算机软件与理论]