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Position: Home > Articles > Research on Intelligent Control System of Solar Greenhouse Based on Agricultural Internet of Things Modern Agricultural Science and Technology 2022 (2) 147-151

基于农业物联网的日光温室智能控制系统研究

作  者：
芦天罡;张辉鑫;唐朝;张华;王剑
单  位：
北京市农业农村局信息中心
关键词：
农业物联网;日光温室;设施农业;环境监测
摘  要：
为实现日光温室环境的实时监测和智能控制,本文设计了基于4层物联网架构的日光温室智能控制系统。感知层通过ZigBee无线协议构建自组织传感器网络,实现了温室环境数据采集和农机装备控制。接入层设计了温室智能控制终端,支持多种协议转换解析,实现了异构设备和网络的接入和共享。网络层基于MQTT协议传输,实现了本地和云端数据的双向传输。应用层开发日光温室智能控制云平台,具有数据采集分析、远程智能控制、策略模型自主学习等功能,实现对温室的精准、智能、联动控制。本系统经过1个茬口的椰糠无土栽培高品质番茄试验显示,日光温室软硬件的集成应用创造了作物最佳生长环境,实现了温室环境的实时智能控制,单位面积产量每年提高11.4%,节省人工33%。
译  名：
Research on Intelligent Control System of Solar Greenhouse Based on Agricultural Internet of Things
作  者：
LU Tiangang;ZHANG Huixin;TANG Zhao;ZHANG Hua;WANG Jian;Information Center of Beijing Municipal Bureau of Agriculture and Rural Affairs;
关键词：
agricultural Internet of Things;;solar greenhouse;;facility agriculture;;environmental monitoring
摘  要：
In order to realize the real-time monitoring and intelligent control of the solar greenhouse environment,this paper designed a solar greenhouse intelligent control system based on a four-layer IoT architecture. The perception layer constructed a self-organizing sensor network through the ZigBee wireless protocol, realized greenhouse environmental data collection and agricultural machinery equipment control. The access layer was designed with a greenhouse intelligent control terminal, which supported multiple protocol conversion and analysis, and realized the access and sharing of heterogeneous devices and networks. Based on the MQTT protocol transmission, the network layer realized bidirectional transmission of local and cloud data. The application layer developed a solar greenhouse intelligent control cloud platform, which had functions such as data collection and analysis, remote intelligent control, and independent learning of strategic models to achieve precise, intelligent, and linkage control of the greenhouse. Through a trial of stubble coconut bran soilless cultivation of high-quality tomatoes, it showed that the integrated application of software and hardware in a solar greenhouse created the best growing environment for the crop, realized intelligent real-time control of the greenhouse environment, increased the yield per unit area by 11.4% per year, saved 33% labor.

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