摘要
传统的温室大棚种植主要依靠人工监测完成环境参数的监测,监测数据不全面,且实时性不高,耗费了大量的人力物力,作业效率低,严重影响了温室大棚的产量和质量。为进一步提升温室大棚效益,引入了云计算技术,深入研究了云计算各服务层次之间的关系和云架构基本原理,完成了基于云计算的温室监控系统的优化设计。同时,将云架构体系应用在温室监控系统总体方案中,分别从接入层、云服务层、传输层及感知控制层分析温室监控系统工作原理,完成了温室监控系统的功能结构设计,并对温室监控系统进行功能测试。测试结果表明:基于云计算的温室监控系统能够实时准确获取温室大棚内的温湿度、土壤湿度、二氧化碳浓度及光照度等环境信息,且通过云计算平台可以实现对温室大棚的远程控制和监控,保证各个温室大棚之间的数据共享。云计算技术在温室大棚监控系统中的应用有效推进了农业生产智能化、自动化发展,对实现智慧农业具有重要意义。
Traditional greenhouse planting mainly relies on manual monitoring to complete the monitoring of environmental parameters.The monitoring data is not comprehensive and the real-time performance is not high.At the same time,it consumes a lot of manpower and material resources.The low efficiency has seriously affected the yield and quality of greenhouses.In order to further improve the benefits of greenhouses,this paper introduces cloud computing technology,deeply studies the relationship between various service levels of cloud computing and the basic principles of cloud architecture,completes the optimized design of the greenhouse monitoring system based on cloud computing,and applies the cloud architecture system to In the overall plan of the greenhouse monitoring system,the working principle of the greenhouse monitoring system is analyzed from the access layer,cloud service layer,transmission layer,and perception control layer,and the functional structure design of the greenhouse monitoring system is completed.Finally,the function test of the greenhouse monitoring system is performed.The test results show that the greenhouse monitoring system based on cloud computing can accurately obtain environmental information such as temperature and humidity,soil humidity,carbon dioxide concentration,and light intensity in the greenhouse in real time.At the same time,the cloud computing platform can realize remote control and monitoring of the greenhouse to ensure Data sharing between various greenhouses,and the application of cloud computing technology in the greenhouse monitoring system has effectively promoted the development of intelligent and automated agricultural production,which has great scientific research significance for the realization of precision agriculture.
作者
李燕
Li Yan(School of Infornation Engineering Nanyang Agricultural Vocational College,Nanyang 473000,China)
出处
《农机化研究》
北大核心
2023年第1期229-233,共5页
Journal of Agricultural Mechanization Research
基金
河南省职业教育教学教改研究项目(ZJA16126)。
关键词
远程控制
云计算
云架构
云服务
温室
remote control
cloud computing
cloud architecture
cloud service
greenhouse