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A Study on the Implementation of Digital Twin Architecture and Detailed Technology for Agriculture and Livestock Industry

농·축산 산업을 위한 디지털 트윈 아키텍처 및 세부 기술 구현에 관한 연구

  • Received : 2021.05.26
  • Accepted : 2021.07.05
  • Published : 2021.07.30

Abstract

Since COVID-19, the world's food shortage population has more than doubled from 130 million to 270 million. In addition, as various issues related to the food industry such as climate change arise, the importance of agriculture and livestock is increasing. In particular, it is still difficult to utilize data generated in these field. Therefore, the objective of this study was to explain the limitations of using data based on fragmentary analysis and the necessity of Digital Twin. The additional objective was to propose an architecture and necessary technologies of a Digital Twin platform suitable for agricultural and livestock. It also proposed a Digital Twin-based service that could be used in the near future, such as labor reduction, productivity improvement, personalized consumption, transportation, and distribution by incorporating intelligent information convergence technology into facility horticulture and livestock farming.

코로나-19 이후 세계 식량 부족 인구가 1억 3천만 명에서 2억 7천만 명으로 2배 이상 증가했다. 여기에 기후변화 등 식량 산업과 관련된 다양한 이슈들이 생겨나는 가운데 농·축산 분야의 중요성이 더욱 높아지고 있다. 특히 현장에서 발생하는 데이터의 활용에는 여전히 어려움을 겪고 있다. 본 논문에서는 단편적 분석 중심의 데이터 활용의 한계 및 디지털 트윈의 필요성을 설명하고, 디지털 트윈 기술의 적용을 통해 농·축산 생산 분야에 적합한 아키텍처 및 필요한 기술을 제안하였다. 시설원예, 축산 등에 지능정보 융합 기술을 접목하여 노동력 절감과 생산성 향상, 개인화된 소비, 운송, 유통 등 가까운 미래에 사용될 수 있는 디지털 트윈 기반의 서비스도 제안하였다.

Keywords

Acknowledgement

이 논문은 2021년도 정부(과학기술정보통신부)의 재원으로 정보통신기획평가원의 지원을 받아 수행된 연구임 (No.2018-0-00387, 축산질병 예방 및 통제 관리를 위한 ICT 기반의 지능형 스마트 안전 축사 기술개발).

References

  1. Deuk-Young Jeong, Institute of Information & communications Technology Planning & Evaluation (IITP), ICT R&D Technology Roadmap 2025 (ICT Convergence, 2020)
  2. Deuk-young Jeong, "Technical Definition of Digital Twin and Five-Level Model" OSIA S&TR Journal, ISSN 1738-9887 Vol. 34, No.2, pp.10-16, March 2021
  3. Grieves,M. Digital Twin: Manufacturing Excellence through Virtual Factory Replication; WhitePaper; NASA:Washington, DC,USA,2014.
  4. F. Tao, M. Zhang, Y. Liu, A.Y.C. Nee, "Digital Twin driven prognostics and health management for complex equipment", CIRP Annals Volume 67, Issue 1, 2018, Pages 169-172, https://doi.org/10.1016/j.cirp.2018.04.055
  5. D. Adamenko et al., "Review and comparison of the methods of designing the Digital Twin," January 2020, Procedia CIRP 91:27-32 DOI:10.1016/j.procir.2020.02.146
  6. TTAK.KO-06.0286, Requirements Profile for Environmental Control and Monitoring System in Greenhouse, TTA, 2012, Retrieved from http://www.tta.or.kr
  7. Yeo, U. H., Lee, I. B., Kim, R. W., Lee, S. Y., & Kim, J. G. (2019). Computational fluid dynamics evaluation of pig house ventilation systems for improving the internal rearing environment. biosystems engineering, 186, 259-278. https://doi.org/10.1016/j.biosystemseng.2019.08.007
  8. Kim, R. W., Lee, I. B., Ha, T. H., Yeo, U. H., Lee, S. Y., Lee, M. H., ... & Kim, J. G. (2017). Development of CFD model for predicting ventilation rate based on age of air theory using thermal distribution data in pig house. Journal of the Korean Society of Agricultural Engineers, 59(6), 61-71. https://doi.org/10.5389/KSAE.2017.59.6.061
  9. Lee, S. Y., Lee, I. B., Kim, R. W., Yeo, U. H., Kim, J. G., & Kwon, K. S. (2020). Dynamic energy modelling for analysis of the thermal and hygroscopic environment in a mechanically ventilated duck house. bio-systems engineering, 200, 431-449.
  10. Kim, R. W., Kim, J. G., Lee, I. B., Yeo, U. H., Lee, S. Y., & Decano-Valentin, C. (2021). Development of three-dimensional visualisation technology of the aerodynamic environment in a greenhouse using CFD and VR technology, Part 2: Development of an educational VR simulator. Biosystems Engineering, 207, 12-32. https://doi.org/10.1016/j.biosystemseng.2021.02.018
  11. Kim, R. W., Kim, J. G., Lee, I. B., Yeo, U. H., & Lee, S. Y. (2019). Development of a VR simulator for educating CFD-computed internal environment of piglet house. biosystems engineering, 188, 243-264. https://doi.org/10.1016/j.biosystemseng.2019.10.024
  12. Kim, J. G., Lee, I. B., Yoon, K. S., Ha, T. H., Kim, R. W., Yeo, U. H., & Lee, S. Y. (2018). A study on the trends of virtual reality application technology for agricultural education. Protected Horticulture and Plant Factory, 27(2), 147-157. https://doi.org/10.12791/KSBEC.2018.27.2.147
  13. Yeo, U. H., Decano-Valentin, C., Ha, T., Lee, I. B., Kim, R. W., Lee, S. Y., & Kim, J. G. (2020). Impact Analysis of Environmental Conditions on Odour Dispersion Emitted from Pig House with Complex Terrain Using CFD. Agronomy, 10(11), 1828. https://doi.org/10.3390/agronomy10111828