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针对水环境污染,水质日益恶化的问题,以环保企业水下观测网为基础架构,基于云平台构建一个水质监测系统.通过Kettle实现数据的云同步和管理;基于B/S架构,研究设计管理运行窗口,综合云端数据的可视化;设计了一种基于正则表达式的访问控制方法实现权限管理;采用间隔采样和服务器端分页等方法,解决大数据量卡顿问题.实际开发部署应用结果表明,该平台运行效果良好,解决了传统监测方式实时性、可靠性低的问题,能够进行长期连续、实时、原位监测,并将原始数据和解算后的参数信息发送至各种信息终端,为水源监测在内的环保领域的科技发展提供应用案例.
Abstract：In answer to the problem of water pollution and deterioration of water quality, a water quality monitoring system is constructed based on cloud platform and the underwater observation networks of environmental protection enterprises. The cloud data synchronization and management are realized through Kettle. The management window is designed to realize cloud data visualization. A regular expression based access control method is designed to achieve privilege management. The problem caused by the large amount of data stuck is solved through the server-side paging and interval sampling, etc. The actual development and deployment show that the platform works effectively. It can solve the problems of low real-time performance and eliability of traditional monitoring methods. It is continuous, real time, home position monitoring and can send raw data and solved parameter information to various information terminals, which provides an application case for the development of science and technology in the field of environmental protection including water source monitoring.
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基本信息:
DOI：
中图分类号:X84
引用信息:
[1]刘倩,侯敏,杨华勇等.基于云平台的水质监测系统研究与实现[J].南通大学学报(自然科学版),2018,17(04):10-16.
基金信息:
江苏省海洋与渔业局项目(HY2017-1)