摘要
针对现有农产品信息服务存在的数据质量低、整合难、流通差等问题和大数据时代的工作要求,依托物联网、大数据、云计算等技术,设计一种基于大数据的农产品信息服务云平台。数据获取层主要利用物联网感知采集数据,在大数据中心完成数据转换、处理、分析,通过应用层可视化展示实现"4A"应用。平台进行云化管理,为不同参与主体提供按需服务,将大数据技术应用于农产品信息服务领域,实现农产品大数据的实时共享,有利于农产品数据资源的有效充分利用。
Existing agricultural products information services,with problems of poor data quality,difficulty in integration,and slow circulation,cannot meet the demands of the big data era.This paper proposes to design a big data-based cloud platform for agricultural products information service,using technologies such as Internet of Things,big data and cloud computing.On the proposed service cloud platform,Internet of Things is mainly used to sense and collect data on data acquisition layer,and data conversion,processing,and analysis are completed in big data center."4A"applications are realized through visualization display on application layer.The platform,which is managed by cloud,provides on-demand services for different participants,applies big data technology to the field of agricultural products information services,and realizes the real-time sharing of agricultural products big data.The platform facilitates full and effective use of agricultural products data resources.
作者
向模军
邹承俊
张霞
XIANG Mojun;ZOU Chengjun;ZHANG Xia(Chengdu Agricultural College,Chengdu 611130,China)
出处
《软件工程》
2021年第4期60-62,共3页
Software Engineering
基金
成都市科技项目“基于5G的智慧农业大棚监控系统研究与开发”(2019-YF05-00207-SN)
太阳能技术集成及应用推广四川省高校重点实验室项目“基于太阳能驱动的物联网智能农业系统研究”(2018TYNSYS-Y-02)
成都农业科技职业学院重点项目“基于区块链的农产品质量安全可信追溯系统研究”(20ZR107)。
关键词
大数据
云计算
农产品
平台设计
big data
cloud computing
agricultural products
platform design