Three-dimensional Integrated Monitoring System Based on Unmanned Aerial Vehicle

This study innovatively develops the Unmanned Aerial Vehicle (UAV) flight monitoring system for PM2.5, and its precursors and meteorological parameters are supported by the Microcontroller Unit (MCU) and sensor technology. The performance of this system is validated by determining the vertical distr...

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Bibliographic Details
Published in2023 3rd International Conference on Electronic Information Engineering and Computer Science (EIECS) pp. 167 - 172
Main Authors Li, Zesong, Wang, Yimin, Gu, Jingying, Shi, Mingjuan, Chen, Haisheng, Ding, Tao
Format Conference Proceeding
LanguageEnglish
Published IEEE 22.09.2023
Subjects
atmosphere monitoring
Atmospheric measurements
Autonomous aerial vehicles
Correlation
Monitoring
PM2.5
precursors
Temperature measurement
Temperature sensors
UAV
vertical distribution
Wind
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Summary:This study innovatively develops the Unmanned Aerial Vehicle (UAV) flight monitoring system for PM2.5, and its precursors and meteorological parameters are supported by the Microcontroller Unit (MCU) and sensor technology. The performance of this system is validated by determining the vertical distribution of fine particulate matter (PM2.5, PM10) and six precursors (SO2, VOC, O3, NO2, NH3 and CO) within the range of 500 m in the Xiasha area of Hangzhou. A total of 7 monitoring sites are set up in this experiment. On the basis of the monitoring data, as an innovation, the vertical distribution characteristics and the statistical correlation between PM2.5 and its precursors are also analyzed. The trend of CO and SO2 concentrations generally decrease with the increase of height, and the concentration of NO2 rises with the increase of height for all monitoring sites. The concentrations of PM2.5, PM10 and O3 have no obvious consistency with the vertical height, such as increasing or decreasing continuously. Spearman correlation analysis shows that CO had a strong correlation with PM2.5, followed by NH3, SO2 and O3, and NO2 is the weakest. This experiment demonstrates that the system is a supplement to the existing fixed monitoring network, and it has the advantage of mobility and portability, which is feasible and flexible. It can obviously improve the efficiency of obtaining the spatial concentration distribution of air pollutants.
DOI:10.1109/EIECS59936.2023.10435388