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Simulation of The Effective Distribution of Droplets and Numerical Analysis of The Control Drone-Only Nozzle

방제드론 전용노즐의 유효살포폭 내 액적분포 및 수치해석 시뮬레이션

  • 임진택 (전주비전대학교 전기공학과) ;
  • 유성구 (전주비전대학교 전기공학과)
  • Received : 2024.01.05
  • Accepted : 2024.01.31
  • Published : 2024.03.31

Abstract

Control drones, which are recently classified as smart agricultural machines in the agricultural field, are striving to build smart control and automatic control systems by combining hardware and software in order to shorten working hours and increase the effectiveness of control in the aging era of rural areas. In this paper, the characteristics of the nozzle dedicated to the control drone were analyzed as a basic study for the establishment of management control and automatic control systems. In order to consider various variables such as the type of various drone models, controller, wind, flight speed, flight altitude, weather conditions, and UAV pesticide types, related studies are needed to be able to present the drug spraying criteria in consideration of the characteristics and versatility of the nozzle. Therefore, to enable the consideration of various variables, flow analysis (CFD) simulation was conducted based on the self-designed nozzle, and the theoretical and experimental values of the droplet distribution were compared and analyzed through water reduction experiments. In the future, we intend to calculate accurate scattering in consideration of various variables according to drone operation and use it in management control and automatic control systems.

최근 농업분야의 스마트 농기계로 분류되고 있는 방제드론은 농촌지역의 고령화 시대를 맞이하여 작업 시간 단축과 방제효과를 높이기 위해 하드웨어 및 소프트웨어를 결합하여 스마트 방제 및 자동방제 시스템 구축을 위해 노력하고 있다. 본 논문에서는 관리관제 및 자동방제 시스템 구축을 위한 기초연구로 방제드론 전용노즐의 특성을 분석하였다. 다양한 드론 모델의 종류, 방제사, 바람, 비행속도, 비행고도, 날씨 조건, UAV 농약 종류 등 다양한 변수를 고려하기 위해서는 노즐의 특성파악과 범용성을 고려하여 약제살포 기준 제시가 가능한 관련 연구가 필요하다. 따라서 다양한 변수 고려가 가능하도록 자체 설계노즐을 기반으로 유동해석(CFD) 시뮬레이션을 실시하고 감수지 실험을 통하여 액적분포의 이론값과 실험값을 비교 분석하였다. 추후 드론운용에 따른 다양한 변수를 고려하여 정확한 비산을 산출하고 관리관제 및 자동방제 시스템에 활용하고자 한다.

Keywords

Acknowledgement

이 연구는 첨단분야 혁신융합대학사업 에코업(주관:고려대학교(세종), 참여:전주비전대학교) 연구개발과제 지원에 의한 연구임

References

  1. J.G. Lee, "A Study on the Information Technology of the Agricultural Production Base for the Smart Agricultural Era." Magazine of the Korean Society of Agricult1ural Engineers, Vol. 59, No. 1, pp. 17-29, February 2017.
  2. J.T. Lim, "Development of Spray Calculation Algorithm Using the Pest Control Drones," Journal of Convergence for Information Technology, Vol. 10, No. 10, pp. 135-142, October 2020. DIO: http://dx.doi.org/10.22156/CS4SMB.2020.10.10.135
  3. S.Y. Choi, E.J. Seong, S.M. Lee, K.H. Cho, D.H. Joo, J.H. Kim and D.S. Lim, "Agricultural Pesticide Control Drone Controller UX Proposal," 2022 KSDS Fall International Conference & DSUS. pp. 274-275, November 2022.
  4. U.J. Oh and J.T. Lim, "A Study on Drone Nozzle Design for Greenhouse Shading," The Journal of Korea Institute of Convergence Signal Processing, Vol. 24, No. 4, pp. 249-254, December 2023. DOI : 10.23087/jkicsp.2023.24.4.011
  5. W.R. Lee, S.B. Lee and J.T. Lim, "Study on Experimental Verification of Uniform Control using Agricultural Drone," The Journal of the Convergence on Culture Technology, Vol. 9, No. 2, pp. 575-580, March 2023. DIO: http://dx.doi.org/10.17703/JCCT.2023.9.2.575
  6. B.G. Seong, S.W. Kang, S.H. Cho, X.Z. Han, S.H. Yu, C.G. Lee, Y.H. Kang and D.H. Lee, "Predicting the spray uniformity of pest control drone using multi-layer perceptron," Journal of Drive and Control, Vol. 20, No. 3, pp. 25-34, September 2023. DOI : http://dx.doi.org/10.7839/ksfc.2023.20.3.025
  7. S.W. Hong and R.W. Kim, "CFD Modeling of Pesticide Flow and Drift from an Orchard Sprayer," Journal of the Korean Society of Agricultural Engineers. Vol. 60, No. 3, pp. 27-36, February 2018. DOI : https://doi.org/10.5389/KSAE.2018.60.3.027
  8. C.G. Lee, S.H. Yu, J.K. Lee and Y.H. Kang, "Effect of Flight Conditions on Spraying Performance using Unmanned Aerial Vehicle with air induction and conventional nozzle in soybean field ," Journal of Agricultural Machinery Engineering. Vol. 2, No. 1, pp. 17-23, December 2021. DOI : https://doi.org/10.12972/jame.20220003
  9. Y.D. Jin, H.D. Lee, Y.K. Park, J.B. Kim and O.K. Kwon, "Drift and Distribution Properties of Pesticide Spray Solution Applied Aerially by manned-Helicopter," The Korean Journal of Pesticide Science, Vol. 12, No. 4, pp. 351-356, December 2008.
  10. S.H. Yu, J.K. Lee and Y.H. Kang and C.G. Lee, "Effects of UAV Nozzle and Spraying Condition on Spraying Performance in Rice Field," Journal of the Korea Academia-Industrial cooperation Society, Vol. 23, No. 12, pp. 803-808, December 2022. DIO: https://doi.org/10.5762/KAIS.2022.23.12.803
  11. K.J. Kang, S.M. Chang, I.H. Ra, S.W. Kim and H.T. Kim, "Nozzle Flow Characteristics and Simulation of Pesticide Spraying Drone," Smart Media Journal, Vol. 8, No. 4, pp. 38-45, December 2019. DOI : http://dx.doi.org/10.30693/SMJ.2019.8.4.38