Welcome to Smart Agriculture 中文

Smart Agriculture ›› 2020, Vol. 2 ›› Issue (2): 115-125.doi: 10.12133/j.smartag.2020.2.2.202004-SA001

• Topic--Agricultural Sensor and Internet of Things • Previous Articles     Next Articles

Beehive Key Parameters Online Monitoring System and Performance Test

YANG XuanJiang1,2, LI Hualong1, LI Miao1(), HU Zelin1, LIAO Jianjun1, LIU Xianwang1, GUO Panpan1, YUE Xudong1   

  1. 1.Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031, China
    2.University of Science and Technology of China, Hefei 230026, China
  • Received:2020-03-29 Revised:2020-06-27 Online:2020-06-30 Published:2020-08-10
  • corresponding author: Miao LI E-mail:mli@iim.ac.cn


With the development of information technology, using big data analysis, monitoring of Internet of Things, sensor perception, wireless communication and other technologies to build a real-time online monitoring system for beehive is a feasible solution for reducing the stress response of bee colony caused by check the beehive artificially. Focusing on situation that real-time monitoring in the closed environment of the beehive is difficult, the STM32F103VBT6 32-bit microcontroller, integrated with the temperature and humidity sensor, microphone, and laser beam sensor were used in this study to develop a low-power, continuous working online monitoring system for the multi-parameter information acquisition and monitoring of beehive key parameters. The system mainly includes core processing module, data acquisition module, data sending module and database server. The data collection module includes a temperature and humidity collection unit inside the beehive, a bee colony sound collection unit, a bee in and out nest number counting unit, etc., and transfers data by accessing the mobile communication network. The performance test results of system on-site deployment showed that the developed system could monitor the temperature and humidity in the beehive in real time, effectively distinguish the bees of entering and leaving the beehive, record the numbers of bees of entering and leaving the nest door, and the bee colony sounds that the automatically obtained were consistent with the standard sound distribution of bee colony. The results indicate that this system meets the design requirements, can accurately and reliably collect the beehive parameters data, and can be used as a data collection method for related research of bee colony.

Key words: bee colony, STM32, online monitoring, sensor, agricultural Internet of Things

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