基于WSN的油菜生长环境数据采集系统
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国家自然科学基金项目(31071328);国家教育部博士点基金(20114320110001);省重大科技计划项目(2011GK2024)


Data aacquisition system for rape growth environment based on WSN
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    摘要:

    针对传统作物生长环境数据获取手段实时性差、劳动强度大以及部署微型自动气象站和商用Zigbee产品成本高、开放性较差等问题,设计并实现了一种基于WSN的油菜生长环境数据采集系统。提出了轻量级的能量感知路由协议CLFP,并给出了软硬件的相关设计方法。仿真和大田试验结果表明,系统温度采集精度最高可达0.01 ℃,测湿精度达±5%,光强采集范围为1~65 535 lx,可并发的数据传输达到36路,可满足农业现场环境数据的较高测量要求。在标称电源供电情况下,系统实际有效生存周期超过142 d,由于采用AT89C51和nRF2401作为基础硬件平台,成本低廉,有助于大规模部署和应用。

    Abstract:

    In view of the traditional acquisition means of crop growth environment data being poor real-time, high labor intensity, and considering the high cost, poor openability, of deployment of micro automatic weather stations and commercial Zigbee products , we have designed and realized a rape growth environment data acquisition system based on WSN . putting forward the lightweight energy-aware routing protocol CLFP, and giving the related design method of hardware and software. The simulation and field experiment, have shown that the temperature acquisition system accuracy can reach 0.01 ℃, humidity measurement precision is up to ± 5%, intensity collection range of light is up to 1~65 535 lx, data transmission routes can be up to 36, which can satisfy the high measurement requirements for agricultural environmental data. with the nominal power supply, the real effective working cycle of the system is more than 142 days, by taking the AT89C51 and nRF2401 as the basic hardware platform, the system is of low cost, which contributes to its large-scale deployment and application.

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李建辉,廖桂平,王访.基于WSN的油菜生长环境数据采集系统[J].湖南农业大学学报:自然科学版,2013,39(6):675-682.

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  • 收稿日期:2013-06-19
  • 最后修改日期:2013-10-30
  • 录用日期:2013-12-12
  • 在线发布日期: 2013-12-26
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