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水肥一体化智能管理系统设计
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  • 英文篇名:Design of integral management system of water and fertilization
  • 作者:赵进 ; 张越 ; 赵丽清 ; 程箫 ; 白雪峰
  • 英文作者:Zhao Jin;Zhang Yue;Zhao Liqing;Cheng Xiao;Bai Xuefeng;Qingdao Agricultural University College of Mechanical and Electrical Engineering;Shandong Feng Tian Water Saving Equipment Co., Ltd;
  • 关键词:物联网 ; 水肥一体化 ; 智能管理
  • 英文关键词:Internet of Things;;integral of water and fertilization;;intelligent management
  • 中文刊名:中国农机化学报
  • 英文刊名:Journal of Chinese Agricultural Mechanization
  • 机构:青岛农业大学机电工程学院;山东丰田节水器材股份有限公司;
  • 出版日期:2019-06-15
  • 出版单位:中国农机化学报
  • 年:2019
  • 期:06
  • 基金:山东省重点研发计划(2017YF066—01、2017CXGC0213、2018GNC2310);; 2015年省农业重大应用技术创新项目(2015zc112)
  • 语种:中文;
  • 页:190-196
  • 页数:7
  • CN:32-1837/S
  • ISSN:2095-5553
  • 分类号:S277.9;S224.2
摘要
水肥一体化技术是融合自动灌溉与智能施肥为一体的农业现代化科技,该系统基于物联网远程控制技术和分布式低成本无线组网技术,通过应用分布式无线信息采集器实时采集环境及土壤墒情信息,并将数据发送到控制终端及网络服务器,由预设施肥灌溉方案决策或远程控制产生决策指令,通过施肥机精确施肥,远程控制继电器控制施肥灌溉区域。系统基于植物生长周期、时间与植物生长环境的做出控制策略,完善大规模生产基地多作物水肥管理系统的不足。试验表明:系统的水肥配比误差小于0.02 mS/cm,系统响应时间小于2 s,研究将促进低成本物联网技术和水肥精准控制技术在农业生产中的应用普及。
        Integral controlof water and fertilization technology is an agricultural modernization technology that integrates automatic irrigation and intelligent fertilization. Based on the remote control technology of Internet of Things and distributed low-cost wireless networking technology, the system collects real-time environmental and soil moisture information by applying distributed wireless information collector, sends the data to control terminal and network server, generates decision instructions by decision-making or remote control of pre-facility fertilizer irrigation scheme, and controls relay control by fertilizer applicator accurately and remotely. Fertilizer irrigation area. The system makes control strategies based on plant growth cycle, time and plant growth environment, and improves the deficiencies of multi-crop water and fertilizer management system in large-scale production bases. The test shows that the system's water-fertilizer ratio error is less than 0.02 mS/cm, and the system response time is less than 2 s. The research will promote the popularization of low-income agricultural IoT equipment in agricultural production.
引文
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