摘要
近年来,随着物联网技术在农业生产中的广泛应用与发展,如何高性能地存储农业物联网数据,保证农业物联网系统的安全性是现代生态农业物联网系统设计的关键问题。为此,基于新一代信息技术,融合物联网、云计算、数据挖掘等技术,形成一个基于云计算的现代生态农业物联网监控系统平台,并提出其在现代农业领域应用的具体实施方案。通过搭建的测试环境对系统的应用功能及工作性能进行测试,结果表明:设计的基于云计算下现代生态农业物联网监控系统可以实现对农业生产区域及各个生产基地环境信息的实时监测,为用户提供了良好的功能体验及性能表现,在降低系统开发成本和确保其可靠性及安全性方面发挥了重要作用。
In recent years,with the wide application and development of Internet of Things(IoT)technology in agricultural production,how to make high-performance storage of agricultural IoT data and ensure the security of agricultural IoT system are key issues in the design of modern ecological agricultural IoT system.Based on the new generation of information technology,this study integrates IoT,cloud computing,data mining and other technologies to form a modern ecological agricultural IoT monitoring system platform based on cloud computing,and gives an implementation plan for the application of this system in the field of modern agriculture,and tests the application functions and working performance of this system through the test environment built,and the test results show that the modern ecological agricultural IoT monitoring system based on cloud computing designed in this study can achieve the test results show that the modern IoT monitoring system based on cloud computing can realize real-time monitoring of environmental information in agricultural production areas and production bases,provide users with good functional experience and performance,and play an important role in reducing system development costs and ensuring its reliability and security.
作者
肖鹰
曾志丹
张艳
Xiao Ying;Zeng Zhidan;Zhang Yan(Hunan University of Information Technology,Changsha 410151,China)
出处
《农机化研究》
北大核心
2023年第11期117-121,共5页
Journal of Agricultural Mechanization Research
基金
湖南省社科基金教育学专项(20YBJ28)。
关键词
云计算
生态农业
物联网
数据挖掘
cloud computing
ecological agriculture
internet of things
data mining