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基于无线传感器网络的多参数粮情自动检测系统设计
引用本文:韩安太,何 勇,李剑锋,陈志强,赵子恺.基于无线传感器网络的多参数粮情自动检测系统设计[J].农业工程学报,2011,27(7):231-237.
作者姓名:韩安太  何 勇  李剑锋  陈志强  赵子恺
作者单位:1. 浙江大学生物系统工程与食品科学学院,杭州,310029
2. 中国计量学院电工与电子技术研究所,杭州,310018
基金项目:国家高技术研究发展计划(“863”计划)项目(2007AA10Z210)国家农业科技成果转化基金项目(2009GB23600517)
摘    要:为解决现有粮情检测系统存在的功能单一、性价比较低、灵活性不强、数据传输能力较弱等问题,该文分析了现有粮情检测系统存在的局限性,在此基础上,设计了一种基于无线传感器网络的新型多参数粮情自动检测系统,给出了系统结构和软硬件构成方法。所设计系统能同时对粮仓内、外环境温度,环境湿度,多种有害气体浓度,粮食温度,粮食水分,储粮害虫进行实时、多点检测,并将测量数据可靠、无线发送给远程监控中心。初步试验表明了该系统的合理性和实用性。该文可为无线传感器网络在粮库中的应用提供参考。

关 键 词:粮食储藏,状态监测,自动检测,无线传感器网络,粮库
收稿时间:9/8/2010 12:00:00 AM
修稿时间:2011/5/18 0:00:00

Design of multi-parameter automatic measuring system for stored grain condition based on wireless sensor networks
Han Antai,He Yong,Li Jianfeng,Chen Zhiqiang and Zhao Zikai.Design of multi-parameter automatic measuring system for stored grain condition based on wireless sensor networks[J].Transactions of the Chinese Society of Agricultural Engineering,2011,27(7):231-237.
Authors:Han Antai  He Yong  Li Jianfeng  Chen Zhiqiang and Zhao Zikai
Institution:Han Antai1,2,He Yong1,Li Jianfeng2,Chen Zhiqiang2,Zhao Zikai2(1.College of Biosystem Engineering and Food Science,Zhejiang University,Hangzhou 310029,China,2.Institute of Electrical Engineering and Electronic Technology,China Jiliang University,Hangzhou 310018,China)
Abstract:In order to solve the problems of the existing automatic measuring system for grain storage condition such as single function, low performance-price ratio, short of flexibility, weak data transmission ability and so on, this paper analyzed the limitations of the existing automatic measuring system for grain storage condition, and the new type multi-parameter automatic measuring system for grain storage condition based on wireless sensor networks was designed, then the architecture, hardware and software design approach of the proposed system were presented in detail. The designed system could implement the real-time, multi-point detection of multiple parameters related to grain storage condition, including ambient temperature inside and outside the granary, ambient humidity inside and outside the granary, several harmful gas concentrations, grain storage temperature, moisture content and pests, and the measured data could be sent to the remote monitoring center through a reliable wireless communication network. The preliminary experimental results proved the rationality and practicability of this system. This research can provide references for the application of wireless sensor networks in the grain depot.
Keywords:grain storage  condition monitoring  automatic measurements  wireless sensor networks  grain depot
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