Environmental Monitoring and Management System Based on K-Means Algorithms

摘要

In order to build a resource-saving and environment-friendly society, adjust the economic structure, change the mode of growth and improve the quality of people’s lives, it is proposed that advanced network video surveillance system technology should be integrated into the related fields of environmental protection, and the comprehensive management of polluting enterprises and ecological environment should be closely monitored and managed. The work content and process of environmental protection standard management are sorted out, the difficulties and problems to be solved in the management of environmental protection standards are summarized, and the data and technical support needed for the informatization of environmental protection standards are discussed. The application technology of data mining is studied and combed, and K-Means algorithm is selected and improved to enable it to be applied in the management of environmental protection standards. The demonstration system of environmental standard information management is constructed to provide reference for the construction of environmental standard information management system. The results show that through in-depth study on the framework of environmental video surveillance system, the system design scheme is formed, and the project implementation and operation maintenance management mechanism of environmental video surveillance system is established, which provides an effective overall solution for system implementation, optimization, improvement and application promotion.