摘要
根据水体产生黑臭现象的机制,选择透明度、溶解氧、氧化还原电位、氨氮、总磷、有机物紫外光吸收程序为监测指标,构建基于物联网技术的水质自动监测网。水体自动监测物联网由基于云计算、大数据的物联网平台,以及GPRS、传感器、浮标、无人监测船组成。该项技术可通过对河道水质的不间断监测保障其长期洁净;水质监测浮标将河道分级分段合理地分配给各级河长,充分体现了河长责任制,由于该技术监测指标较全面,且为不间断进行,因此大幅降低了漏报率,做到及时预警;无人监测船可以高效、灵敏地追踪污染源,有效预防河道水质由量变转化为质变,缩短了搜寻时间,做到预警后的及时处理。
according to mechanism of the phenomenon of black odor in water body,transparency,dissolved oxygen,oxidation-reduction potential,ammonia nitrogen,ultraviolet absorption and total phosphorus were chosen to build an IOT-based automatic monitoring network for water in this paper. The network consists of platform based on cloud computing and big data,GPRS,sensor,buoy and unmanned ship. This technology can ensure long-term cleanliness through continuous monitoring of river water quality. The water quality monitoring buoy assigns the river course to different levels and segments reasonably and distribute river channels to river chiefs at all levels. This fully embodies the responsibility system of river chief. Because this technology monitoring index is comprehensive and uninterrupted,significantly lower the rate of failure and provide early warning and unmanned surveillance ships can track pollution sources efficiently and sensitively. It has effectively prevented the river water quality changed from quantitative change to qualitative change and shortened the search time and has achieved timely treatment after the early warning.
作者
丁春梅
吴宸晖
戚高晟
高士佩
DING Chunmei;WU Chenhui;QI Gaosheng;GAO Shipei(Zhejiang University of Water Resources and Electric Power,Hangzhou 310018,China;School of Hydraulic,Energy and Power Engineering,Yangzhou University,Yangzhou 225009,China;Hydraulic Research Institute of Jiangsu Province,Nanjing 210017,China)
出处
《人民黄河》
CAS
北大核心
2018年第10期57-60,共4页
Yellow River
关键词
物联网技术
河长制
水质自动监测网
预警
IOT-based monitoring network
river chief mechanism
automatic monitoring network for water
early warning