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사물인터넷 기반의 수경재배 시스템 구현

Implementation of IoT-Based Hydroponic Cultivation System

  • Bo Peng (School of Artificial Intelligence Convergence, Pukyong National University) ;
  • Ilyosbek Rakhimjon-Ugli Numonov (School of Computer and Artificial Intelligence Engineering, Pukyong National University ) ;
  • Seong-Koo Yeo (Emax Information Technology Co. Ltd. ) ;
  • Tae-Kook Kim (School of Computer and Artificial Intelligence Engineering, Pukyong National University)
  • 투고 : 2023.07.01
  • 심사 : 2023.08.17
  • 발행 : 2023.08.31

초록

본 논문에서는 수경재배의 편리성, 안정성, 정확성의 향상을 위하여 사물인터넷(IoT) 기술을 활용한 수경재배 원격 모니터링 및 제어 시스템을 연구하였다. 제안한 시스템은 라즈베리 파이, 아두이노, 센서를 IoT 기술과 접목하여 재배 환경과 배양액의 농도 등을 측정하여 PC 서버로 전송한다. PC에서는 미들서버(Middle Server), 데이터베이스, 웹서버를 구축하여 TCP/IP 통신으로 라즈베리 파이와 안정적인 데이터 전송, 저장 및 처리를 보장한다. 이를 통해 재배환경, 배양액의 배합 등을 원격 모니터링 및 제어한다. 따라서 모니터링 및 배양액 배합은 장소, 시간 및 장비 등에 구애받지 않고 어디서나 웹페이지로 관리시스템을 접속하여 확인과 작업을 할 수 있다. 제안한 시스템은 수경재배 작물의 최적화된 생육환경을 유지하면서 원격 모니터링 및 제어로 농업 관리의 편리성을 제공하고, 다양한 작물에 적용 가능할 것으로 기대한다.

In this paper, a remote monitoring and control system for hydroponic cultivation using Internet of Things (IoT) technology was studied to improve the convenience, stability, and accuracy of hydroponic cultivation. The proposed system combines Raspberry Pi, Arduino, and sensors with IoT technology to measure the cultivation environment and the concentration of culture medium, It subsequently transmits this data to the PC server. In the PC, the middle server, database, and web server are built to ensure stable data transmission, storage, and processing with Raspberry Pi through TCP/IP communication. This facilitates remote monitoring and control of cultivation conditions, as well as the mixing of nutrient solutions. Therefore, monitoring and mixing of culture solutions can be conducted from anywhere, without being limited by location, time, or equipment. Users can access the management system via a web page to review and perform tasks. The proposed system provides convenience in agricultural management through remote monitoring and control while maintaining an optimized growth environment for hydroponic crops. It is expected to have the potential for application across various type of crops.

키워드

참고문헌

  1. National Statistical Office(Statistics Korea), "2021 Cropland Survey Results", 2021. 
  2. National Statistical Office(Statistics Korea), "2022 arable area survey results", 2022. 
  3. Rural Development Administration, "hydroponics," 2021. 
  4. Raspberry Pi, https://www.raspberrypi.com/ 
  5. J.H.Moon, B.Peng, J.H.Kwon, T.K.Kim, "Implementation of Smart Umbrella Stand Based on IoT," Journal of Internet of Things and Convergence, Vol.9, No.1, pp.57-64, 2023.  https://doi.org/10.20465/KIOTS.2023.9.1.057
  6. Arduino, https://www.arduino.cc/ 
  7. O.H.Kwon, I.C.Kang, D.S.Min, H.B.Im, Y.W. Park, "A Study on the Smart Farm Characteristics Using Multiple Sensors," The Journal of The Korea Institute of Electronic Communication Sciences, Vol.16, No.4, pp.719-724, 2021.  https://doi.org/10.13067/JKIECS.2021.16.4.719
  8. J.H.Ko, H.C.Kim, "PLC Automatic Control for IOT Based Hydroponic Plant Factory," Journal of IKEEE, Vol.23, No.2, pp.487-494, 2019.  https://doi.org/10.7471/IKEEE.2019.23.2.487
  9. JG.Baek, H.W.Lee, "Design and Implementation of Self-installing Agricultural Automation System for Remote Monitoring and Control Based on LPWA Technology," Journal of The Korea Internet of Things Society, Vol.3, No.1, pp.13-19, 2017.  https://doi.org/10.20465/KIOTS.2017.3.1.013
  10. J.K.Park, J.H.Kim, "Agricultural Environment Monitoring System to Maintain Soil Moisture using IoT," Journal of The Korea Internet of Things Society, Vol.6, No.3, pp.45-52, 2020.  https://doi.org/10.20465/KIOTS.2020.6.3.045
  11. Y.H.Kim, B.H.Cho, D.S.Seo, H.Y.Song, K.C.Kim, "The study on crop detection robot system for hydroponic green house," Journal of the Korea Academia-Industrial cooperation Society, Vol.23, No.6, pp.315-322, 2022.  https://doi.org/10.5762/KAIS.2022.23.6.315
  12. M.Y.Lee, S.J.Sim, E.J.Kim, Y.S.Han, "A Web-based Monitoring of Electrical Energy Consumption and Data Analysis of Smart Farm Facilities," Journal of Bio-Environment Control, Vol.31, No.4, pp.366-375, 2022.  https://doi.org/10.12791/KSBEC.2022.31.4.366
  13. Y.S.Jeong, "Design of Smart Farm Growth Information Management Model Based on Autonomous Sensors," Journal of The Korea Society of Computer and Information, Vol.28, No.4, pp.113-120, 2023.  https://doi.org/10.9708/JKSCI.2023.28.04.113
  14. K.D.Noh, B.R.Jeong, "Optimum Strength and NH4 +:NO3 - Ratio of Nutrient Solution for Romaine Lettuce Cultivated in a Home Hydroponic System," Journal of bio-environment control, Vol.9, No.1, pp.57-64, 2023.  https://doi.org/10.12791/KSBEC.2023.32.2.97
  15. B.H.Shin, H.K.Jeon, "ICT-based Smart Farm Design," Journal of Convergence for Information Technology, Vol.10, No.2, pp.15-20, 2020. https://doi.org/10.22156/CS4SMB.2020.10.02.015