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基于物联网的水产养殖环境智能监控系统的研究
引用本文:盖之华,施连敏,王斐,郭翠珍.基于物联网的水产养殖环境智能监控系统的研究[J].数字社区&智能家居,2013(12):7826-7828.
作者姓名:盖之华  施连敏  王斐  郭翠珍
作者单位:[1]苏州经贸职业技术学院数字化校园管理中心,江苏苏州215009 [2]苏州市职业大学计算机工程学院,江苏苏州215104
基金项目:2011年苏州市科技支撑计划_农业部分(SN201139);2012年苏州市应用基础研究计划(SYN201219);2011年度苏州市加快信息化建设专项资金项目
摘    要:随着物联网、云计算、下一代通信网络等新一代信息技术的快速发展,并结合国家科技兴农的政策要求,设计了基于物联网的水产养殖环境智能监控系统,通过该系统可以实时感知水温、溶解氧、ph值、氨氮等水产养殖环境的关键参数,并根据生态化养殖的要求,进行最优化调整,从而提高水产养殖的智能化水平和水产品的生态品质。

关 键 词:水产养殖  物联网  数据感知  智能监控

Research of Intelligent Monitoring System of Water Environmental Factors Based on the Internet of Things
GAI Zhi-hua,SHI Lian-min,WANG Fei,GUO Cui-zhen.Research of Intelligent Monitoring System of Water Environmental Factors Based on the Internet of Things[J].Digital Community & Smart Home,2013(12):7826-7828.
Authors:GAI Zhi-hua  SHI Lian-min  WANG Fei  GUO Cui-zhen
Affiliation:1.Digital Campus Management Center Suzhou Institute of Trade & Commence, Suzhou 215009, China; 2.School of Computer Engineering Suzhou Vocational University, Suzhou 215104, China)
Abstract:With the rapid development of a new generation of information technology, such as the internet of things, cloud com-puting, the next generation communication network, and so on. And the national policy on promoting agriculture by applying scientific and technological advances, intelligent monitoring system of water environmental factors based on the Internet of Things is designed, various parameters of water environmental factors, such as water temperature, dissolved oxygen content, pH value, concentrations of ammonia and nitrate, etc, can be real-timely collected, and be optimized to meet the requirements of ecological aquaculture. Therefore, the intelligent level of aquaculture and the ecological quality of aquatic products are improved.
Keywords:Aquiculture  The Internet of Things  Data sensing  Intelligent monitoring
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