DOI QR코드

DOI QR Code

무선 통신 기반 스마트 농장 온습도 제어 방법론에 대한 연구

A Study on the Temperature and Humidity Control Methodology of Smart Farm ased on Wireless Communication Network

  • 박세현 (남서울대학교 전자공학과) ;
  • 오성현 (남서울대학교 전자공학과) ;
  • 이상민 (남서울대학교 전자공학과) ;
  • 맹준석 (남서울대학교 전자공학과) ;
  • 고윤석 (남서울대학교 전자공학과)
  • 투고 : 2018.06.25
  • 심사 : 2018.08.15
  • 발행 : 2018.08.31

초록

본 논문에서는 스마트 농장의 경제성과 생산성을 제고하기 위한 스마트 농장을 위한 온습도 제어 알고리즘을 제안하였다. 스마트 농장의 기본 조건을 분석하고, 이를 기반으로 무선통신을 기반으로 하는 스마트 농장내의 센서 및 제어대상간 정보교환 시스템을 설계하였으며, 스마트 농장내의 온도, 습도 그리고 토양습도가 식물 성장에 적합하게 설정된 기준 값을 추종하도록 온습도 제어 알고리즘을 개발하였다. 제안된 설계 방법론 및 제어 알고리즘의 유효성을 검증하기 위해서 2.4GHz 무선통신 기반 소규모 스마트 농장의 프로토타입을 제작하였으며, 온습도 실험을 통해서 그들의 유효성을 확인하였다.

In this paper, a temperature and humidity algorithm was proposed to enhance the economic efficiency and productivity of smart farm. The basic conditions of smart farms were analyzed, and the information exchange system between sensors and control objects in smart farms based on wireless communication was designed. Based on this, a temperature and humidity control algorithm was developed so that temperature, humidity and soil humidity within smart farm can be followed in predefined values for plant growth. To verify the validity of the proposed design methodology and control algorithm, a prototype of small scale smart farm based on 2.4GHz wireless communication were built and their validity was confirmed through repeated temperature and humidity test.

키워드

참고문헌

  1. S. Jeong and H. Kang, "Smart Farm for Intelligent Farming Management Technological Development," Water For Future, vol. 47, no. 2, Feb. 2014, pp. 76-79.
  2. J. Ahn, "Smart Farm based on Internet of Things Changing Life for Rural," Korea Research Institute for Human Settlements, Research Report, vol. 5, 2015, pp. 19-26.
  3. S. Jung, C. Sim, S. No, W. So, and J. Kang, "Design and Implementation of Produce Farming Field-Oriented Smart Pest Information Retrieval System based on Mobile for u-Farm," J. of Korean Institute of Electromagnetic Engineering and Science, vol. 10, no. 10, Oct. 2015, pp. 1145-1156.
  4. Y. Kim, J. Park, and Y. Park, "Smart Farm Status and Success Factor Analysis," In Proc. Korea Rural Economic Institute, Report M141, Naju, Korea, Jun. 2016, pp. 19-24.
  5. M. O'Grady and G. MPare, "Modelling the Smart Farm," Information Processing in Agriculture, vol. 4, 2017. pp. 179-187. https://doi.org/10.1016/j.inpa.2017.05.001
  6. S. Lee, "Cloud_Based Smart Farm Technology," Korea Electronics Institute, Daejeon, Korea, 2017, pp. 50-54.
  7. S. L. Wolters, T. Balafoutis, S. Fountas, and van Evert, "Smart Farm based on Internet of Things Changing Life for Rural," SmartAKIS(Agriculture Knowledge Information System), Jan. 2016.
  8. W. Yeo, I. Lee, K. Kwon, T. Ha, S. Park, S. Kim, and S. Lee, "Analysis of Research Trend and Core Technologies Based on ICT to Materialize Smart-farm," Department of Rural Systems Engineering Seoul National University, vol. 25, no. 1, Mar. 2016, pp. 30-31.
  9. S. Romeo, "Enabling Smart Farming through the Internet of Things Current Status and Trends," Sensing Technologies for Effective Land Management Workshop, Bangor University, North Wales, UK, Jun. 2016.
  10. S. Wilde, "The Future of Technology in Agriculture," In Proc. STT Netherlands Study Centre for Technology Trends, no. 81, The Hague, Netherlands, 2016.
  11. G. Seong, W. Kim, Y. Kim, and W. Yang, "Pi Logger : Low-cost Greenhouse Image and environmental data collection System for Invigorating Smart Farm Propagation," J. of the Korea Institute of Electronic Communication Sciences, vol. 11, no. 11, Nov. 2016, pp. 1121-1128. https://doi.org/10.13067/JKIECS.2016.11.11.1121
  12. N. Yoo, "Development Smart Farm System for Minimizing Carbon Emissions," J. of the Korea Institute of Electronic Communication Sciences, vol. 11, no. 12, Dec. 2016, pp. 1231-1236. https://doi.org/10.13067/JKIECS.2016.11.12.1231
  13. E. Kim, "Smart Environment Control System for Greenhouse," J. of the Korea Institute of Electronic Communication Sciences, vol. 12, no. 5, Oct. 2017, pp. 907-914. https://doi.org/10.13067/JKIECS.2017.12.5.907
  14. M. Dlercq, A. Vats, and A. Biel, "Agriculture 4.0: The Future of Farming Technology," World Government Summit Report, Dubai, United Arab, Feb. 2018.
  15. D. Pivoto, P. Daquil, E. Talamini, C. Finocchio, V. Cort, and G. Vores, "Scientific Development of Smart Farming Technologies and their Application in Brazil," Information Processing in Agriculture, vol. 5, no. 1, Mar. 2018, pp. 21-32. https://doi.org/10.1016/j.inpa.2017.12.002