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    何灿隆, 沈明霞, 刘龙申, 等. 基于NB-IoT的温室温度智能调控系统设计与实现[J]. 华南农业大学学报, 2018, 39(2): 117-124. doi: 10.7671/j.issn.1001-411X.2018.02.018
    引用本文: 何灿隆, 沈明霞, 刘龙申, 等. 基于NB-IoT的温室温度智能调控系统设计与实现[J]. 华南农业大学学报, 2018, 39(2): 117-124. doi: 10.7671/j.issn.1001-411X.2018.02.018
    shu
    HE Canlong, SHEN Mingxia, LIU Longshen, OKINDA Cedric, YANG Ji, SHI Hong. Design and realization of a greenhouse temperature intelligent control system based on NB-IoT[J]. Journal of South China Agricultural University, 2018, 39(2): 117-124. DOI: 10.7671/j.issn.1001-411X.2018.02.018
    Citation: HE Canlong, SHEN Mingxia, LIU Longshen, OKINDA Cedric, YANG Ji, SHI Hong. Design and realization of a greenhouse temperature intelligent control system based on NB-IoT[J]. Journal of South China Agricultural University, 2018, 39(2): 117-124. DOI: 10.7671/j.issn.1001-411X.2018.02.018
    shu

    基于NB-IoT的温室温度智能调控系统设计与实现

    Design and realization of a greenhouse temperature intelligent control system based on NB-IoT

      摘要
    • 摘要:
      目的  以NB-IoT低速率窄带宽物联网技术为核心，研制一套以5G低功耗海量连接场景前期技术为基础的智能温室环境自动调控系统。
      方法  应用MSP430F149超低功耗芯片采集环境信息，依托NB-IoT蜂窝物联网平台，云端智能调控系统，结合多传感器融合与模糊PID–分级控制技术, 根据用户需求调节温室环境。
      结果  该系统在温室大棚内实地应用的结果表明：温室环境信息采集相对误差不超1%，平均控制精度在3.57%(±1.0 ℃)，无传输距离限制，实现作物生长温度的自动调节。
      结论  该系统稳定可靠，为作物的生长提供良好环境，对作物的研究提供有力的技术支撑。

       

      Abstract:
      Objective  To develop an automated greenhouse environmental monitoring and control system based on an NB-IoT low-rate narrow bandwidth networking and 5G low-power massive connection technology.
      Method  Ultra-low power chip MSP430F149 was applied to collect environmental information. Using the NB-IoT's cellular networking platform and the cloud intelligent control system and combining multi-sensor fusion with fuzzy PID-grading control technology, greenhouse environment was controlled according to user needs.
      Result  Using the automated system in greenhouse, the relative error of greenhouse environmental information collection was below 1%, the average control accuracy was 3.57% (±1.0 ℃), the transmission distance was not limited and the automatic regulation of crop growth temperature was realized.
      Conclusion  The system is stable and reliable, and provides a favorable environment for plant growth as well as a strong technical support for crop research.

       

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