HUBEI AGRICULTURAL SCIENCES ›› 2021, Vol. 60 ›› Issue (11): 129-133.doi: 10.14088/j.cnki.issn0439-8114.2021.11.028

• Information Engineering • Previous Articles     Next Articles

Design and implementation of physical parameters monitoring system for ewes based on WSN

YING Ye-weia, ZENG Song-weia, ZHAO A-yongb, YAN Fei-feib, YANG Jian-lyua   

  1. a. School of Information Engineering;
    b. College of Animal Science and Technology, Zhejiang A&F University,Hangzhou 311300,China
  • Received:2020-08-23 Online:2021-06-10 Published:2021-07-15

Abstract: Aiming at the problems of time-consuming, manpower-spending, imperfect collection schemes and limited transmission distance of physical parameters monitoring for ewes, a set of physical parameters monitoring system for ewes based on WSN was designed. Firstly, the system collected body temperature information of ewes through the acquisition node of the collar. Then, wireless sensor network formed by ZigBee and GPRS technology transmitted the data to the cloud server. The server stored the data in the database and displayed it on the web platform simultaneously. Besides, in order to verified the accuracy and effectiveness of the system, the real-time average algorithm was used to calculate the relative error of body temperature data and the network packet loss rate of the communication scheme was tested. The experimental results showed that physical parameters monitoring system for ewes based on WSN was able to collect, transmit and display physical parameters for ewes in real time. The relative error of temperature measurement was less than 1%, and the network packet loss rate was less than 4%, which met the actual demand of the sheep farm. The monitoring system designed in the research ran stably and broke through the limitation of communication distance. It greatly improved the work efficiency of managers. The collected physical data was very important for establishing the amount of exercise and the health assessment model of ewes.

Key words: the acquisition node of the collar, wireless sensor network, ZigBee, GPRS, STM32 microprocessor, physical parameters monitoring

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