基于NB-IoT的温室温度智能调控系统设计与实现

摘要

[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.%[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.