Browse > Article
http://dx.doi.org/10.9708/jksci.2022.27.08.077

Implementation of Air Pollutant Monitoring System using UAV with Automatic Navigation Flight  

Shin, Sang-Hoon (Dept. of Aero Mechanical Engineering, Kyungwoon University)
Park, Myeong-Chul (Dept. of Avionics Engineering, Kyungwoon University)
Publication Information
Journal of the Korea Society of Computer and Information / v.27, no.8, 2022 , pp. 77-84 More about this Journal
Abstract
In this paper, we propose a system for monitoring air pollutants such as fine dust using an unmanned aerial vehicle capable of autonomous navigation. The existing air quality management system used a method of collecting information through a fixed sensor box or through a measurement sensor of a drone using a control device. This has disadvantages in that additional procedures for data collection and transmission must be performed in a limited space and for monitoring. In this paper, to overcome this problem, a GPS module for location information and a PMS7003 module for fine dust measurement are embedded in an unmanned aerial vehicle capable of autonomous navigation through flight information designation, and the collected information is stored in the SD module, and after the flight is completed, press the transmit button. It configures a system of one-stop structure that is stored in a remote database through a smartphone app connected via Bluetooth. In addition, an HTML5-based web monitoring page for real-time monitoring is configured and provided to interested users. The results of this study can be utilized in an environmental monitoring system through an unmanned aerial vehicle, and in the future, various pollutants measuring sensors such as sulfur dioxide and carbon dioxide will be added to develop it into a total environmental control system.
Keywords
Air Pollutant; UAV; Autonomous Flight; Monitoring System; Arduino;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
1 F. -C. Adochiei et al., "Electronic System for Real-Time Indoor Air Quality Monitoring," 2020 International Conference on e-Health and Bioengineering (EHB), pp.1-4, Dec. 2020. DOI : 10.1109/EHB50910.2020.9280192.   DOI
2 Hirokazu Madokoro er al., "Development of Drone-Mounted Multiple Sensing System with Advanced Mobility for In Situ Atmospheric Measurement: A Case Study Focusing on PM2.5 Local Distribution." Sensors, Vol. 21(14), 4881, July 2021. DOI : 10.3390/s21144881   DOI
3 Huda Jamal Jumaah et al., "Development of UAV-Based PM 2.5 Monitoring System," Drones, Vol. 5(3), 60, July 2021. DOI : 10.3390/drones5030060   DOI
4 Sang-Hoon Shin, Myeong-Chul Park, "Design of an Exploration Drone for Digital Twin based Building Control," Journal of The Korea Society of Computer and Information Vol. 26(5), pp. 9-16, 2021. DOI : 10.9708/jksci.2021.26.05.009   DOI
5 Duck-Sung Kim, Jeong-Ho Park, "Problems and Improvements in the Quality Control of the Air Monitoring Network," Journal of Environmental Science International, 29(8); 847~855; August 2020. DOI : 10.5322/JESI.2020.29.8.847   DOI
6 Nam Ho Kim, "Development of atmospheric environment information collection system using dron," Smart Media Journal, Vol.7, No.4, pp. 44-51, Dec. 2018. DOI : 10.30693/SMJ.2018.7.4.44   DOI
7 M. B. Marinov et al., "UAVs Based Particulate Matter Pollution Monitoring," 2019 IEEE XXVIII International Scientific Conference Electronics (ET), pp. 1-4, Oct. 2019. DOI : 10.1109/ET.2019.8878586.   DOI
8 J. Yun and J. Woo, "IoT-Enabled Particulate Matter Monitoring and Forecasting Method Based on Cluster Analysis," in IEEE Internet of Things Journal, Vol. 8, No. 9, pp. 7380-7393, May 2021. DOI : 10.1109/JIOT.2020.3038862.   DOI
9 De Fazio, R. et al., "A Sensor-Based Drone for Pollutants Detection in Eco-Friendly Cities: Hardware Design and Data Analysis Application," Electronics, Vol. 11(52), Dec. 2021. DOI : 10.3390/electronics11010052   DOI
10 Johnston SJ et al., "City Scale Particulate Matter Monitoring Using LoRaWAN Based Air Quality IoT Devices," Sensors (Basel), Vol. 19(1): 209, Jan. 2019. DOI : 10.3390/s19010209   DOI
11 Yungaicela, Noe et al., "Design and Implementation of an UAV-based Platform for Air Pollution Monitoring and Source Identification," Conference: Congreso Nacional de Control Automatico 2017, pp. 288-293, November 2017.
12 A. Kumar, M. Kumari and H. Gupta, "Design and Analysis of IoT based Air Quality Monitoring System," 2020 International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC), pp. 242-245, May 2020. DOI : 10.1109/PARC49193.2020.236600.   DOI