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。
【 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 fixzzy 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 °C）, 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.
出处
《华南农业大学学报》
CAS
CSCD
北大核心
2018年第2期117-124,共8页
Journal of South China Agricultural University
基金
江苏省农机三新工程项目(NJ2017-22)
