基于K-Means算法的环保监控管理系统研究  

Research on Environmental Protection Monitoring and Management System Based on K-Means Algorithm

作　　者：冯莹莹[1] FENG Yingying(College of Information Engineering, Fuyang Normal University, Fuyang 236041, China)

机构地区：[1]阜阳师范学院信息工程学院,安徽阜阳236041

出　　处：《长春大学学报》2020年第2期14-19,共6页Journal of Changchun University

基　　金：安徽省优秀青年人才支持计划项目(gxyq2017157);安徽省重大教学改革项目(2016jyxm0777);安徽省科技厅面上基金项目(1908085MF207)。

摘　　要：为了实现对环保监控管理的优化,设计一种基于K-Means算法的环保监控管理系统。采用大数据挖掘方法进行环保监控管理信息的数据采集,结合自相关融合特征调度方法进行环保监控管理信息的分类检索,根据其分布特征,进行模糊聚类处理,采用K均值算法进行环保监控管理信息聚类的聚类中心优化调节,实现分类管理优化,完成环保监控管理系统软件设计。测试得知,该系统的信息分类能力较好,系统检索能力较强。In order to optimize the environmental protection monitoring and management,a environmental protection monitoring and management system based on K-Means algorithm is proposed,in which big data mining method is used to collect the data of environmental protection monitoring and management information,autocorrelation fusion feature scheduling method is combined to classify and retrieve the environmental protection monitoring management information.According to its distribution characteristics,fuzzy clustering processing is carried out.K-means algorithm is used to optimize adjustment of the clustering center of environmental protection monitoring management information clustering,to realize classification management optimization and to complete the software design of environmental protection monitoring and management system.The test results show that the information classification ability of the system is good and the retrieval ability of the system is strong.

关 键 词：K-MEANS算法 环保监控 管理系统 聚类 

分 类 号：X32[环境科学与工程—环境工程]