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日光温室环境控制系统应用推广探析
引用本文:金娟.日光温室环境控制系统应用推广探析[J].农业工程,2022,12(5):20-24.
作者姓名:金娟
作者单位:北京市数字农业农村促进中心,北京 100101
摘    要:结合农业物联网技术在北京市日光温室智能控制的推广工作,介绍与椰糠基质栽培高品质番茄生产相结合的日光温室环境智能集成控制技术体系,包括软件集成和硬件配置,并提出了农业物联网技术推广中存在的问题和建议,希望为日光温室环境控制系统的应用推广提供参考模式。 

关 键 词:物联网    日光温室    农业智能装备
收稿时间:2021/12/8 0:00:00
修稿时间:2022/2/13 0:00:00

Application and popularization of environmental control system in Solar Greenhouse
jinjuan.Application and popularization of environmental control system in Solar Greenhouse[J].Agricultural Engineering,2022,12(5):20-24.
Authors:jinjuan
Institution:Beijing Digital Agriculture Rural Promotion Center,Beijing 100101,China
Abstract:Combined with the production technology system of high-quality tomato cultivated on coconut bran substrate, and using agricultural Internet of things, cloud computing and artificial intelligence technology, this paper establishes a demonstration of intelligent integrated control system for greenhouse environment. First, a new generation of solar mobile greenhouse IOT sensor is demonstrated, which realizes the mobile monitoring of greenhouse environment and reduces the wiring cost; The second is to demonstrate the greenhouse intelligent control terminal, which realizes the control and management of equipment circuits, signal channels and working states such as film rolling, curtain rolling, heating, cooling, dehumidification, carbon dioxide supplement and air circulation in the greenhouse; Third, the agricultural general intelligent hardware access and control platform is developed. Technicians can use mobile phones to remotely control various equipment in the temperature room based on the environmental data of the Internet of things, and can also input control strategies for automatic management. Through the above software and hardware demonstration, a solar greenhouse intelligent control system with the functions of acquisition, control, data analysis and self-learning is established, which effectively saves manpower and realizes the accurate regulation of the solar greenhouse environment. The system can also automatically learn and record the regulation strategies of the whole production cycle, which is conducive to the accumulation of experience of the farm and even the formation of the optimal regulation data model, It effectively improves the production efficiency of facility production and the quality of agricultural products, and provides model and technical support for the construction of high-standard Intelligent Greenhouse in the city.
Keywords:Agricultural Internet of things  intelligent agriculture  agricultural intelligent equipment
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