文章基本信息

标题：Sewage Discharge Monitoring and Management System Based on K-Means Algorithms
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作者：Lefei Xuan ; Xiaojing Tu ; Mengning Niu 等
期刊名称：Nature, Environment and Pollution Technology
印刷版ISSN：0972-6268
出版年度：2019
卷号：18
期号：5
页码：1593-1599
语种：English
出版社：Technoscience Publications
摘要：In order to effectively monitor and manage the discharge behaviour of enterprises to avoid water pollution and improve environmental quality, it is proposed to develop and design a sewage discharge monitoring and management system which meets the practical needs. The sewage discharge data management module, monitoring and management module, early warning management module, data statistical analysis module and system query function module are designed and developed. In addition, the development and design process of the functional module of the system is described by means of example diagram and time sequence diagram. On the basis of system function design, language and database technology are applied to realize the functional modules of the system. The function test and performance test of the system are discussed and analysed, and a sewage discharge monitoring and management system that meets the actual needs of the sewage discharge monitoring department is developed. The results show that the sewage online monitoring and management system has the functions of real-time reception, treatment, analysis and early warning. Therefore, the system can help to make up for the loopholes in the sewage discharge monitoring and management of enterprises, effectively standardize the sewage discharge behaviour of enterprises, and then improve the environmental pollution caused by excessive sewage discharge.
关键词：Sewage discharge;Monitoring management;System design;Management module;K-means algorithm