第29卷第5期 2017年10月
浙江水利水电学院学报
J. Zhejiang Univ of Wat. Res & Electric Pow
D0I: 10. 3969/j. issn. 2095-7092. 2017. 05. 008
基于物联网的水源水质监测技术研究杨小令，吴宸晖”，韩峰”，孙通”，刘金涛”，戚高晟”，刘志雄
Vol.29No.5 Oct.2017
(1.扬州大学水利与能源动力工程学院，江苏扬州225127;2.浙江水利水电学院水利与环境工程学院，浙江杭州310018）摘要：针对我国城乡各级饮用水源现场监测的特点，采用物联网架构，实现了对不同理化传感器和生物毒性传感器的兼容,除能监测常规的水温、溶解氧、PH值、电导率和浊度这五个参数外，增加了紫外吸收、斑马鱼生物毒性和大型蚤生物毒性三种传感器.采集到的数据在云计算平台可对8种监测数据进行计算、分析、融合，并建立水质监测大数
据库和分析预测模型，用户经授权可通过手机客户端实现远程实时监测，能有效地对水源水质进行监测和预警，关键词：物联网；水源水质；监测
中图分类号：TV213
文献标志码：A
文章编号：1008536X(2017)05-0032-04
WaterQualityMonitoringTechnologyBasedonInternetofThings
YANG Xiao-ing", WU Chen-hui', HAN Feng , SUN Tong",
LIU Jin-tao', QI Gao-sheng , LIU Zhi-xiong
(1. School of Hydraulie , Energy and Power Engineering , Yangzhou University , Yangzhou 225127 , China ;
2. College of Hydraulic and Environment Engineering , Zhejiang University of Water Resourees
and Electric Power, Hangzhou 310018 , China)
Abstract : In view of the characteristies of on -site monitoring of drinking water sources for all levels in urban and rural areas in China, the compatibility of different physical and chemical sensors and biological toxicity sensors is realized by using the Internet of Things structure. In addition to monitoring five parameters as the conventional water temperature , dissolved oxy-gen, pH, conductivity and turbidity , the UV absorption, zebnafish bio-toxicity and daphnia magna biological toxicity are used. The collected data is sent to the server by GPRS wireless communication moxlule . Eight kinds of monitoring data are caleulated, analyzed and integrated in the cloud computing platform , and a large database and analysis and forecasting model of water quality monitoring are established . The remotely real-time monitoring can be carried out by the authorized user with the mobile client. Early warning can be given once the data exceeding the normal ranges . This technology ex-pands the scope of monitoring , which can effectively monitor the water quality , give early waming, and protect the water quality.
Key words ; Intemet of Things ; water quality ; monitoring
目前，饮用水源作为人类的基本需求3]，其水质状况受到各种生产、生活污染的威胁，特大污染事故频频发生"]，而我国环境监测由多个职能部门管辖，一且突发水污染事件，将会牵涉到水利、环
收稿日期：2017-07-11
基金项目：“十二五"国家科技支撑计划项目（2012BAJ25B00）；浙江省自然科学基金资助项目（LY17D030001）
作者简介：杨小令（1960－），男，山东招远人，讲师，研究方向为水质监测、水下机器人。
万方数据
保、交通、供水、城市建设和规划等多家部门，不同层级的政府和部门难以在第一时间做出一致的反应.国家虽颁布了水源水质监测标准，投入了大量资金，建设了成千上万的水质自动监测站"}，但是监测效果依然很不满意.究其原因，主要有3个方面：(1)监测项目太少，绝大多数水质监测站只能自动监测水温、溶解氧、pH值、电导率、浊度5种水质参数，可以及时反映无机污染物，但对面广量大的