The Journal of the Korea institute of electronic communication sciences (한국전자통신학회논문지)

Korea Institute of Electronic Communication Science (한국전자통신학회)
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Suggestion and Verification of Architecture for Collecting Fine Dust using Drone

미세먼지 수집 드론의 구조 제안 및 검증

  • Jo, Young-Jun ;
  • Jang, Min-Seok (School of Computer & Information & Communication Engineering, College of Engineering, Kunsan National University)
  • 조영준 (군산대학교 컴퓨터정보통신공학부) ;
  • 장민석 (군산대학교 컴퓨터정보통신공학부)
  • Received : 2019.10.25
  • Accepted : 2020.02.15
  • Published : 2020.02.29
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Abstract

Due to the rapidly increasing number of cars and power generation, environmental pollution caused by fine dust is becoming a serious social problem. Especially fine dust becomes an important issue nowadays. More than 50 countries are suffering from fine dust above the recommended level, and each affected country is studying the measures to reduce fine dust and minimize its occurrence. However, at present, it is difficult to collect fine dust data from the various points with fixed fine dust acquisition drones, and also to collect accurate data due to the influence of rotating blades even in the existing drone method. In this paper, we propose a method for collecting fine dust using drones and a sensing parts architecture and show its effectiveness.

급격히 증가하는 자동차 수, 발전량 증가 등으로 인하여 미세먼지로 인한 환경오염이 심각한 사회문제로 대두되고 있는 실정이다. 특히 요즘 미세먼지 문제가 이슈가 되고 있다. 50개가 넘는 국가들이 권고치 이상의 미세먼지로 인해 피해를 받고 있으며 각 피해국들은 미세먼지 저감 대책 및 발생을 최소화하기 위한 방안을 연구하고 있다. 하지만 현재 고정형 미세먼지 취득 장치로는 다양한 포인트의 미세먼지 데이터를 수집하기 힘든 상황이며, 기존 드론을 활용한 방법에서도 회전 날개의 영향으로 인해 정확한 데이터를 수집하기 힘든 실정이다. 본 논문에서는 드론을 활용하여 미세먼지를 측정할 때 센서부의 구조를 제안하고 이의 효율성을 보여주고자 한다.

Keywords

References

  1. D. Yu, "A Study on the Effects of Fine Particles to Satellite Signal," J. of the Korea Institute of Electronic Communication Sciences, vol. 7, no. 1, Feb. 2012, pp. 125-134. https://doi.org/10.13067/JKIECS.2012.7.1.125
  2. A. Jang, "Impact of particulate matter on health," J. Korean Med Association, vol. 57, no. 9, Sept. 2014, pp. 763-768. https://doi.org/10.5124/jkma.2014.57.9.763
  3. World Health Organization, Ambient air pollution: A global assessment of exposure and burden of disease. Geneva, WHO, 2016.
  4. Ministry of Environment, Fine dust fact check: fine dust! Ask me anything. Sejong, Ministry of Environment, 2019, pp. 11.
  5. J. Yoon, Y. Li, M. Lee, and M. Jo, "Deep Learning Drone Flying Height Prediction for Efficient Fine Dust Concentration Measurement," IMCOM 2019, Phuket Thailand, May 2019, pp. 1112-1119.
  6. H. Kim, Y. Park, W. Kim, H. Eun, and K. Ahn, "Vertical Aerosol Distribution and Flux Measurement in the Planetary Boundary Layer Using Drone," Particle and Aerosol Research, vol. 14, no. 2, July 2018, pp.35-40. https://doi.org/10.11629/JPAAR.2018.14.2.035
  7. P. Neumann, S. Asadi, V. Hernandez Bennetts, A. Lilienthal, and M. Barthilmai, "Monitoring of CCS Areas using Micro Unmanned Aerial Vehicles (MUAVs)," J. Energy Procedia, vol. 37, June 2013, pp. 4937-4964. https://doi.org/10.1016/j.egypro.2013.06.405
  8. J. Lee, "Black Carbon Measurement using a Drone," J. of Korean Society for Atmospheric Environment, vol. 34, no. 3, June 2018, pp.486-492. https://doi.org/10.5572/KOSAE.2018.34.3.486
  9. Korea Environment Institute, Analysis Research Trends and Application of Air Quality Investigation Technique Using Drones. Sejong, Korea Environment Institute, 2018.
  10. M. Alvarado, F. Gonzalez, P. Erskine, D. Cliff, and D. Heuff, "A Methodology to Monitor Airborne PM10 Dust Particles Using a Small Unmanned Aerial Vehicle," Sensors 2017, vol. 17, no. 2, 2017, pp. 343-367.
  11. K. Weber, "The Use of an Octocopter UAV for the Determination of Air Pollutants: A Case Study of the Traffic Induced Pollution Plume Around a River Bridge in Duesseldorf, Germany," Int. J. of Environmental Science, vol. 2, 2017, pp. 63-68.
  12. J. Oh, J. Seol, Y. Gong, S. Han, and S. Lee, "Drone Hovering using PID Control," J. of the Korea Institute of Electronic Communication Sciences, vol. 13, no. 6, 2018, pp. 1269-1274. https://doi.org/10.13067/JKIECS.2018.13.6.1269
  13. D. Yoon, K. Lee, S. Han, and S. Lee, "A Study on Flight Stabilization of Drones by Gyro Sensor and PID Control," J. of the Korea Institute of Electronic Communication Sciences, vol. 12, no. 4, 2017, pp. 591-598. https://doi.org/10.13067/JKIECS.2017.12.4.591