湖北农业科学 ›› 2019, Vol. 58 ›› Issue (14): 134-137.doi: 10.14088/j.cnki.issn0439-8114.2019.14.032

• 信息工程 • 上一篇    下一篇

基于Raspberry Pi的温室茶园智能监控系统

孙红严1, 王茂林1, 马德新1,2,3   

  1. 1.青岛农业大学动漫与传媒学院,山东 青岛 266109;
    2.山东省科学院计算中心,济南 250101;
    3.山东大学计算机科学与技术学院,济南 250101
  • 收稿日期:2019-05-09 出版日期:2019-07-25 发布日期:2019-12-06
  • 通讯作者: 马德新(1977-),男,副教授,博士,主要从事农业物联网、水肥一体化研究,(电子信箱)madexin@163.com。
  • 作者简介:孙红严(1994-),男,河南周口人,硕士研究生,研究方向为农业信息化,(电话)18550868242(电子信箱)1036523836@qq.com。
  • 基金资助:
    青岛市民生科技计划项目(18-6-1-112-nsh); 山东省高等学校科技计划项目(J17KA154)

Intelligent monitoring system of greenhouse tea plantation based on Raspberry Pi

SUN Hong-yan1, WANG Mao-lin1, MA De-xin1,2,3   

  1. 1.School of Animation and Media,Qingdao Agricultural University,Qingdao 266109,Shandong,China;
    2.Shandong Computer Science Center,Shandong Academy of Sciences, Jinan 250101,China;
    3.School of Computer Science and Technology,Shandong University,Jinan 250101,China
  • Received:2019-05-09 Online:2019-07-25 Published:2019-12-06

摘要: 在温室茶园中,温度、湿度、光照度、土壤含水量等是影响茶树生长与茶叶产量的关键因素,但这些环境因子难以监控与控制。该研究提出了一种基于低成本高性能的Raspberry Pi,通过ZigBee技术组成的传感器网络模型,结合物联网来监控温室茶园环境的变量因素的系统。结果表明,该系统具有数据传输准确、监控数据稳定、使用方便简单等特点,实现了温室茶园智能监控,对促进茶树生长和茶叶产量提高具有重要的现实意义。

关键词: 温室茶园, ZigBee, Raspberry Pi, 传感器网络, 智能监控

Abstract: In greenhouse tea plantation, temperature, humidity, light intensity, soil water content and so on are the key factors affecting the growth of tea tree and tea yield, but these environmental factors are difficult to monitor and control. Therefore, this paper proposes a low-cost and high-performance Raspberry Pi, a sensor network model composed of ZigBee technology, combined with the internet of things to measure the variable factors of greenhouse tea garden. In this system, tea farmers can use the mobile phone APP and PC side to monitor the tea plantation greenhouse environment information in real time, and adjust these factors. Experiments showed that the system has the characteristics of accurate data transmission, stable monitoring data, easy to use and simple, and has great practical significance for realizing the intelligent monitoring of greenhouse tea garden, promoting the growth of tea tree and improving the yield of tea.

Key words: greenhouse tea plantation, ZigBee, Raspberry Pi, wireless sensor networks, intelligent monitoring

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