Earticle

초록

영어

Since rabbit house is completely enclosed, then the environmental factors such as temperature, humidity, harmful gas and illumination etc will affect severely the health and the reproductive function of the rabbit. In view of this, it has been one of the important measures to improve the economic benefits of rabbit farming through the manual intervention on the micro-climate in the rabbit house. In this paper, it designs a rabbit house temperature regulation system to adjust the temperature of the rabbit house through the water curtain filtration and negative-pressure ventilation method. Also it utilizes the internet of things technology to implement remote management on the regulation system when the data about the temperature and humidity information in every rabbit house and the harmful gas concentration is uploaded to the background server via wifi connection to the network to enable the poultry feeders to make a real-time observation on the environmental information of the rabbit house in addition to the remote control of the water curtain and the running of the blower on their smart phones. Furthermore, it builds a model for the rabbit house temperature with the application of the fuzzy-PID control algorithm and the variable frequency drive technology to design a controller for the further decline in the system power consumption based on the optimal control. In addition to these, a prototype system has been established to conduct the experimental verification. The verification result proves that this system can be controlled reliably with technical feasibility.

목차

Abstract
 1. Introduction
 2. The Overall Design of the Rabbit House Temperature Regulation System
 3. Modeling and Analysis on the Rabbit House Temperature
  3.1 Temperature Model in Rabbit House Environment
  3.2 Model Analysis
 4. Fuzzy-PID Control on the Environment of Rabbit House
  4.1 Structure of the fuzzy-PID controller
  4.2 Description of the input & output variables with fuzzy language
  4.3 Establishment of Fuzzy Rules
  4.4. Fuzzy Solution and Control Algorithm
 5. Experimental Verification
  5.1 Simulation Result
  5.2 Temperature Control Experiment
 6. Conclusions
 Acknowledgements
 References

키워드

저자

• Benzhen Guo [ School of Information Science and Engineering, Hebei North University, Zhangjiakou075000, Hebei, China ]
• Jingjing Yang [ School of Information Science and Engineering, Hebei North University, Zhangjiakou075000, Hebei, China ]
• Zhihui Wang [ School of Information Science and Engineering, Hebei North University, Zhangjiakou075000, Hebei, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Smart Home

• 간기

  격월간

• pISSN

  1975-4094

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605