Earticle

초록

영어

This paper proposes a framework to design an automatic control system of a plant factory based on artificial neural network (ANN) and presents the simulation results of the proposed system. The proposed system can collect information of crop cultivation environment and monitor it in real-time by using various environment sensors. Installed wire or wireless sensor nodes, based on the sensor network, collect the growing condition's information such as temperature, humidity, CO2, and the control system is to monitor the control devices by using ANN. The proposed automatic control system provides that users can control all equipments installed on the plant factory directly or remotely and the equipments can be controlled automatically. The simulation results show the application possibility of the proposed system in a plant factory.

목차

Abstract
 1. Introduction
 2. Research Background
  2.1. Control system of a plant factory
  2.2. Artificial neural network (ANN)
 3. Design the ANN based Automatic Control System
 4. Simulation Results of ANN based Automatic Control System
  4.1. Data collection
  4.2. Simulation results
  4.3. Discussion of simulation results
 5. Conclusions
 Acknowledgements
 References

키워드

저자

• Kwang-Kyu Seo [ Department of Management Engineering, Sangmyung University, South Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605