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机构地区:[1]华南理工大学经济与贸易学院,广州510006
出 处:《农业机械学报》2014年第1期259-265,共7页Transactions of the Chinese Society for Agricultural Machinery
基 金:国家农业科技成果转化资金重点资助项目(2013GB2E000353);广东省星火计划资助项目(2012A020603003);中央高校基本科研业务费专项资金资助项目;粤港关键领域重点突破项目(2011BZ100174)
摘 要:针对目前我国水产养殖规模越来越大,种类越来越丰富,传统养殖方式已不能满足要求的现状,将RFID与无线传感网络技术相结合应用到水产养殖领域,提出了基于RFID与无线传感网络的水产品智能化养殖监控系统的架构及应用实施方案。根据水产品养殖基本流程,对水产品养殖环节的生长环境进行分析,总结影响水产品生长的环境因素并确定出进行水产品高密度养殖的最佳环境,从而实现环境资源的充分利用。通过现场试验,验证了该系统的数据检测与传输误差、闭环控制精度、反应速度等性能均达到了实际项目的需要,试验结果表明温度误差在±0.5℃范围内,溶氧量误差在±0.3 mg/L范围内,pH值误差在±0.3范围内,系统传输数据的正确率在98%以上。Focusing on the problem about traditional farming methods which cannot meet the increasing scale of aquaculture, and combining RFID technology and the internet of things technology with the processes of aquatic breeding, an aquatic intelligent breeding solution was proposed. Firstly, the basic processes of aquatic breeding and the aquatic farming environment were analyzed, and then the environmental factors affecting aquatic growth were obtained, at the same time the best environment for aquatic products high-density breeding was given; at last, an aquatic intelligent breeding solution based on RFID and internet of things was proposed. Field tests were also conducted. Results show that the accuracy of closed-loop control response speed and other performances of this system satisfies actual needs of this project, and temperature error, dissolved oxygen error and pH error are _+ 0.5~C , :t: 0. 3 mg/L, _+0.3, respectively, and the data transmission accuracy of the system is up to 98%.
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