基于密度的K-Means算法在环保监控管理系统中的应用研究

Application of K-Means Algorithm based on Density in Environmental Monitoring and Management System

环保监控管理系统对于环境保护工程的促进有重要意义,传统的管理监控系统虽然能够实现远程监控,但是监控清晰度很差,效率低,在利用监控系统提供的资料建立各项数据档案时,很容易出现问题。通过对K-Means算法进行研究,将基于密度的K-Means算法应用于环保监控管理系统中,详细地阐述了其应用过程。通过实验,验证了K-Means算法在环保监控管理系统中的应用效果。实验结果表明,将K-Means算法引入监控系统中,能够有效提高资料的准确率,降低工作人员的劳动强度,对于推动环保工程发展有积极的作用。

The environmental monitoring and management system is of great significance to the promotion of environmental protection projects. Although the traditional management monitoring system can realize remote monitoring,the monitoring clarity is very poor and the efficiency is low. When using the data provided by the monitoring system to establish various data files,it is prone to have problems. Through the research of K-Means algorithm,the density-based K-Means algorithm is applied to the environmental monitoring and management system,and its application process is elaborated. Through experiments,the application effect of K-Means algorithm in environmental monitoring and management system is verified. The experimental results show that the introduction of K-Means algorithm into the monitoring system can effectively improve the accuracy of data and reduce the labor intensity of staff,which has a positive effect on promoting the development of environmental protection engineering.