中文

Journal of Intelligent Agricultural Mechanization (in Chinese and English) ›› 2021, Vol. 2 ›› Issue (1): 57-63.DOI: 10.12398/j.issn.2096-7217.2021.01.008

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Design and experiment of integrated water and fertilizer system based on Internet of Things*

Baofeng Zhang1,2, Xiao Chen1,2, Junchao Zhu1,2, Jun Kang1,2, Wei Pan3, Yan Zhao1,2   

  1. 1. School of Electrical and Electronic Engineering, Tianjin University of Technology, Tianjin, 300384, China;
    2. Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems, Tianjin, 300384, China;
    3. Tianjin Ymitian Technology Co., Ltd., Tianjin, 371200, China
  • Received:2020-06-15 Online:2021-05-15 Published:2021-11-30
  • Corresponding author: Yan Zhao, Doctor, Associate Professor, research direction: detection technology and automation device. E-mail: tjut_erit@163.com
  • About author:Baofeng Zhang, Doctor, Professor, research direction: photoelectric detection and machine vision. E-mail: zhangbaofeng@263.net
  • Supported by:
    *Major Science and Technology Projects and Projects in Tianjin (16ZHLNC0050); Science and Technology Development Plan Project of Wuqing District, Tianjin (WQKJ201903)

Abstract: In order to realize the monitoring and management of the greenhouse water and fertilizer integration system, a water and fertilizer integration system based on the Internet of things is designed. The system design adopts the structure of the Internet of things, the acquisition control layer collects the greenhouse environment parameters through the STM32 single-chip microcomputer, collects the working parameters of the executive module through PLC, controls the water pump and the valve to complete the fertilization irrigation, and transmits the data to the application layer through GPRS. The web application layer is designed and developed with B/S architecture, MySQL as the database management system, and Java as the functional module of the system. The system has been tested by operation, fast response of water and fertilizer integrated execution module through PID control, and overshoot of 6.8%. The maximum absolute error of EC value of water and fertilizer mixture is 0.5 mS/cm。

Key words: Internet of Things, water and fertilizer integration, greenhouse environment monitoring, GPRS communication, single-chip microcomputer, PLC

CLC Number: