摘要
针对目前主要通过人工监测、浮标监测或设置固定水质监测站点的水质监测方式存在的实时性差、准确度不高、工作效率低、成本高、灵活性低、监测范围受限、不适用于对重度甚至有毒水污染环境应急监测等问题,结合无人船的监测精准、灵活、安全、低成本、高效率等特点,面向直接关系居民生活饮用水安全的城市内河流湖泊的中小型水域监测需求,设计和研发了一种基于无人船的远程水环境监测系统,通过设计无人监测船搭载水质监测传感器及摄像头,可全面监测水环境状况。该系统通过“5G物联网+水环境监测”技术,实现对水域环境的实时在线监测。针对城市内河流湖泊众多、环境复杂、管理困难等问题,构建了基于物联网云平台的水环境监测及信息共享平台,实现了对水环境的无人、实时、准确、高效的监测及智慧管理。实践表明基于无人船和物联网的水环境监测系统能实现对水环境科学高效的监测管理,为管理决策提供有力的支撑和依据。
The existing water monitoring methods are mainly through manual sampling,buoy or fixed water monitoring stations,which have the problems of the poor real-time performance,low accuracy,low work efficiency,high cost,low flexibility,limited monitoring range,and unsuitable for severe water quality monitoring.Combination of monitoring precision,flexibility,safety,low cost,high efficiency of unmanned surface vehicles(USV),facing small and medium-sized water area monitoring needs of urban rivers and lakes directly related to the safety of residents’drinking water,we design and develop a remote water environment monitoring system based on USV.Through the design of unmanned monitoring ship equipped with water quality monitoring sensors and cameras,the water environment can be monitored comprehensively.The system realizes real-time online monitoring of water environment through"5G Internet of Things+Water Environment Monitoring"technology.Aiming at the problems of numerous rivers and lakes in cities,complex environment and difficult management,a water environment monitoring and information sharing platform based on the Internet of Things cloud platform is built to realize unmanned,real-time,accurate and efficient monitoring and intelligent management of water environment.Practice shows the water environment system based on USV and Internet of Things(IoT)can realize scientific and efficient monitoring and management of the water environment,and provide strong support and basis for management decision-making.
作者
项慧慧
王吉祥
徐森
孟海涛
XIANG Hui-hui;WANG Ji-xiang;XU Sen;MENG Hai-tao(Department of Internet of Things,School of Information Engineering,Yancheng Institute of Technology,Yancheng 224051,China)
出处
《计算机技术与发展》
2022年第1期216-220,共5页
Computer Technology and Development
基金
国家自然科学基金面上项目(62076215)
盐城工学院大学生创新计划训练项目(YCIT—CX317)。
关键词
无人船
5G物联网技术
云平台
流媒体技术
移动App
水环境监测
生态环境保护
unmanned surface vehicles(USV)
5G IoT technology
cloud platform
streaming media technology
mobile App
water environment monitoring
ecological environment protection
