基于农业物联网的日光温室智能控制系统的研究

为实现日光温室环境的实时监测和智能控制，本文设计了基于四层物联网架构的日光温室智能控制系统。感知层组建ZigBee无线传输网络，实现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。本系统经过一个茬口的椰糠无土栽培高品质番茄的试验显示，日光温室软硬件的集成应用创造出作物最佳生长环境，每亩每年产量提高11.4%，节省人工33%，实现了温室环境的实时智能控制。

Research on Intelligent Control System of Solar Greenhouse Based on Agricultural Internet of ThingsZHANG HUIXIN,LU TIANGANG,TANG ZHAO

In order to realize the real-time monitoring and intelligent control of the solar greenhouse environment, this paper designs a solar greenhouse intelligent control system based on a four-layer IoT architecture. The perception layer sets up a ZigBee wireless transmission network to realize greenhouse environment data collection and agricultural machinery equipment control. The access layer is designed with a greenhouse intelligent control terminal, which supports multiple protocol conversion and analysis, and realizes the access and sharing of heterogeneous devices and networks. The network layer is based on the MQTT protocol transmission, enabling bidirectional transmission of local and cloud data. The application layer develops a solar greenhouse intelligent control cloud platform, which has functions such as data collection and analysis, remote intelligent control, and independent learning of strategy models to achieve precise, intelligent, and linkage control of the greenhouse. This system passed a trial of stubble coconut bran soilless cultivation of high-quality tomatoes, and the integrated application of software and hardware in a solar greenhouse created the best growing environment for the crop, realizing intelligent real-time control of the greenhouse environment, increasing the yield per acre per year by 11.4%, saving 33% labor.