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中国农学通报 ›› 2020, Vol. 36 ›› Issue (22): 154-164.doi: 10.11924/j.issn.1000-6850.casb20190600257

所属专题: 植物保护 玉米 智慧农业

• 农业信息·科技教育 • 上一篇    

基于物联网的玉米病害环境监测系统研究与实现

胡亮(), 曹艳, 唐江云, 刘永波, 雷波()   

  1. 四川省农业科学院农业信息与农村经济研究所,成都 610066
  • 收稿日期:2019-06-08 修回日期:2019-11-14 出版日期:2020-08-05 发布日期:2020-07-22
  • 通讯作者: 雷波
  • 作者简介:胡亮,男,1982年出生,四川简阳人,助理研究员,本科,主要从事四川农业信息化应用研究。通信地址:610066 四川省成都市锦江区静居寺路20号附101号 四川省农业科学院农业信息与农村经济研究所,Tel:028-84504881,E-mail: 25274781@qq.com
  • 基金资助:
    四川省科技支撑项目“十三五”农作物及畜禽育种战略研究与云服务平台建设(2016NYZ0054)

Agricultural Environmental Monitoring System for Maize Diseases: Research and Implementation Based on the Internet of Things

Hu Liang(), Cao Yan, Tang Jiangyun, Liu Yongbo, Lei Bo()   

  1. Institute of Agricultural Information and Rural Economy, Sichuan Academy of Agricultural Sciences, Chengdu 610066
  • Received:2019-06-08 Revised:2019-11-14 Online:2020-08-05 Published:2020-07-22
  • Contact: Lei Bo

摘要:

为研究和实现基于物联网的玉米病害环境监测系统,笔者设计了包括感知层、传输层、云服务层和应用层的4层架构。在感知层,利用传感器技术实时采集玉米病害环境的温湿度、降雨量、风向风速、光照强度和土壤温湿度等数据;在传输层中使用4G移动通信网络实现数据的远距离传输;云服务层中,基于四川农畜育种攻关云服务平台,应用数据库技术、云服务技术实现数据的存储和管理;最后,在应用层采用B/S模式实现数据展示服务。结果表明,该系统能够准确采集、稳定传输和安全存储数据,降低了人工成本。因此,它能够为玉米病害研究课题组提供有效的信息化服务,具有一定实用价值。

关键词: 物联网, 私有云, 农业信息化, 环境监测系统

Abstract:

In order to research and implement an environmental monitoring system for maize diseases based on the internet of things, the authors designed a four-layer framework, including the perception layer, the transport layer, the cloud platform and the application layer. In the perception layer, we collected the environmental data of maize diseases, such as temperature, humidity, precipitation, wind direction, wind speed, light intensity, soil temperature and moisture by using wireless sensors; in the transport layer, we used 4G mobile communication network for remote real-time transmission of data; in the cloud platform, we used database technology and cloud server technology to achieve the storage and management of data based on the breeding cooperation cloud platform of Sichuan; finally, in the application layer, we used B/S architecture technology to implement a data presentation service. The results show that this system can accurately collect, transmit and store data, reducing labor costs. Therefore, it can provide effective information service for the research on maize diseases and has a certain practical value.

Key words: internet of things, private clouds, agricultural informatization, environmental monitoring system

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