基于边缘计算的智慧物联网农业病虫识别系统设计与实现
Design and Implementation of Intelligent Internet of Things Agricultural Pets Recognition System Based on Edge Computing
杨洁 1李国强 2马竞羽 1雷雨果1
作者信息
- 1. 河南省科学院应用物理研究所有限公司,河南 郑州 450008
- 2. 河南省信阳生态环境监测中心,河南 信阳 464006
- 折叠
摘要
[目的]传统云计算存在实时性不够、带宽不足、能耗较大、不利于数据安全与隐私等问题,应用边缘计算能有效解决上述问题.[方法]通过基于边缘计算的智慧物联网农业病虫识别系统的开发与应用,测试目标应用的数字化、集成化、信息化、可视化和智能化,减少云计算的计算压力.[结果]智慧物联网农业病虫识别系统能实现节点或网关离线后自动重新登录的功能、系统数据采集与上报功能、服务器数据显示功能,从而减轻云计算中心的计算负担.[结论]研究结果将为使用边缘计算的系统提供有力的支撑,能保证整个系统的智能性、可靠性、安全性和经济性,并提高了计算能力和社会生产效率,为大规模推广边缘计算奠定了基础.
Abstract
[Purposes]Research on edge computing applications can effectively avoid the traditional cloud computing problems such as real-time shortage,bandwidth shortage,high energy consumption and adverse to data security and privacy.[Methods]Through the development and application of intelligent Internet of things(IOT)agricultural pest identification system based on edge computing,the digitization,integration,informationization,visualization and intellectualization of target application are tested to re-duce the computing pressure of cloud computing.[Findings]The intelligent Internet of things(IOT)agri-cultural pest identification system can realize the functions of automatically re-login after the nodes or gateways are off-line,the functions of system data collection and report,the functions of server data dis-play to reduce the computing burden on the cloud computing center.[Conclusions]The results of the study will strongly support the use of edge computing system can ensure the intelligence,reliability,secu-rity and economy of the whole system,improve the computing capacity and the efficiency of social pro-duction,and then lays a foundation for the large-scale promotion of edge computing.
关键词
边缘计算/物联网/低功耗广域网/系统框架/边缘决策Key words
edge computing/internet of things/low-power wide area network/system architecture/edge decision引用本文复制引用
基金项目
河南省科学院助推科技成果转化项目(220207002)
河南省科学院基本科研业务费项目(240607004)
出版年
2024
NETL
NSTL
万方数据