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Air Quality Monitoring Platform based on Remote Unmanned Aerial Vehicle with Wireless Communication

Published: 19 July 2017 Publication History

Abstract

Air pollution issues and particularly fine particulate matters are worth of great concerns in a consequence of crowded factories and heavy traffics in the fast developing areas, especially in the valley terrains where pollutions are hard to disperse. Exposure to the fine particulate matters (PMs) will harm the human health and even cause irreversible damages, in the circumstances of calling for effective monitoring methods. It is necessary to bring in a monitoring platform with sufficient mobility to monitor the places where monitoring stations are not convenient to install. A mobile and portable monitoring platform based on unmanned aerial vehicle (UAV) is developed by combining promoted sensor board and specific communication module in this paper. The monitoring flights are carried out in 30 days with 20 minutes efficient monitoring time for each flight in the ambient airspace around the object region, and the air components contents are gathered orderly to the air sensor board and send to the ground station constantly. The result shows a larger air quality index (AQI) differences exist between the fixed station and UAV monitoring where the AQI sharply changes relatively to the previous day, which signifies a large atmospheric-flow and dynamical change of air component contents. Moreover, the air quality of a dynamic monitored area formed by the further application of UAV-platform will generate critical information to the controlling of indoor air quality for the buildings in the area.

References

[1]
S. Lu, D. Wang, X. Li, Z. Wang, Y. Gao, and Z. Peng. 2016. Three-dimensional distribution of fine particulate matter concentrations and synchronous meteorological data measured by an unmanned aerial vehicle (UAV) in Yangtze River Delta, China. Atmos. Meas. Tech., 19 pages,
[2]
C. Lin, Y. Li, A. K. H. Lau, X. Deng, T. K. T. Tse, J. C. H. Fung, C. Li, Z. Li, X. Lu, X. Zhang, and Q. Yu. 2016. Estimation of long-term population exposure to PM2.5 for dense urban areas using 1-km MODIS data. Remote Sensing of Environment, 179, 13--12, 10 pages,
[3]
Y. Han, M. Qi, Y. Chen, H. Shen, J. Liu, Y. Huang, H. Chen, W. Liu, X. Wang, J. Liu, B. Xing, and S. Tao. 2015. Influences of ambient air PM2.5 concentration and meteorological condition on the indoor PM2.5 concentrations in a residential apartment in Beijing using a new approach. Environmental Pollution, 205, 307--314, 8 pages,
[4]
Z. Li, Y. Zhang, J. Shao, B. Li, J. Hong, D. Liu, D. Li, P. Wei, W. Li, L. Li, F. Zhang, J. Guo, Q. Deng, B. Wang, C. Cui, W. Zhang, Z. Wang, Y. Lv, H. Xu, X. Chen, L. Li, and L. Qie. 2016. Remote sensing of atmospheric particulate mass of dry PM2.5 near the ground: Method validation using ground-based measurements," Remote Sensing of Environment, 173, 59--68, 10 pages,
[5]
Z. Peng, D. Wang, Z. Wang, Y. Gao, and S. Lu. 2015. A study of vertical distribution patterns of PM2.5 concentrations based on ambient monitoring with unmanned aerial vehicles: A case in Hangzhou, China. Atmosphere Environment, 123, 357--369, 13 pages,
[6]
O. Alvear, C. T. Calafate, E. Hernandez, J. C. Cano, and P. Manzoni. 10--12 Dec 2015. Mobile Pollution Data Sensing Using UAVs. The 13th International Conference on Advances in Mobile Computing and Multimedia (MoMM2015), Brussels, Belgium.
[7]
B. Altstadter, A. Platis, B. Wehner, A. Scholtz, N. Wildmann, M. Hermann, R. Kathner, H. Baars, J. Bange, and A. Lampert. 2015. ALADINA -- an unmanned research aircraft for observing vertical and horizontal distributions of ultrafine particles within the atmospheric boundary layer. Atomos. Meas. Tech, 1627--1639, 13 pages.
[8]
J. Zhnag, S. Zhang, Z. Zhu, Y. Zhang, and Y. Ji. 2014. Numerical simulation of the optimal placement of aerosol sampling-head on an unmanned aerial vehicle. China Environmental Science, 34, 2192--2198, 7 pages.
[9]
Y. Lei. 2013. Aerodynamics of a Hex-rotor SUAV: Numerical Simulation and Experimental Study. Ph.D: Chinese Academy of Sciences.
[10]
M. Dunbabin and L. Marques. 2012. Robots for Environmental Monitoring: Significant Advancements and Applications. IEEE Robotics & Automation Magazine, 19, 24--39, 16 pages.
[11]
M. Alvarado, F. Gonzalez, P. Erskine, D. Cliff and D. Heuff. 2017. A Methodology to Monitor Airborne PM10 Dust Particles Using a Small Unmanned Aerial Vehicle. Sensors, 17, 343, 25 pages.
[12]
D. Li, M. Li. 2014. Research Advance and Application Prospect of Unmanned Aerial Vehicle Remote Sensing System. Geomatics and Information Science of Wuhan University, 39(5), 505--513, 9 pages. (in Chinese)
[13]
Y. Wang, J. Zhang, C. Wang. 2010. Research on Flight Control System Based Adaptive Controller for UAV. Journal of Projectiles, Rockets, Missiles and Guidance, 30(4), 15--18, 22, 5 pages. (in Chinese)

Cited By

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  • (2024)Fine grained analysis method for unmanned aerial vehicle measurement based on laser-based light scattering particle sensingFrontiers in Physics10.3389/fphy.2024.141303712Online publication date: 14-May-2024
  • (2023)The Application of UAVs in the Evaluation of Thermal Comfort Levels in Buildings Equipped with Internal GreenhousesClean Technologies10.3390/cleantechnol50300555:3(1080-1114)Online publication date: 20-Sep-2023
  • (2023)Using UAVs for the fast detection and characterization of polluted areas2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)10.1109/VTC2023-Spring57618.2023.10201093(1-6)Online publication date: Jun-2023
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    cover image ACM Other conferences
    ICFNDS '17: Proceedings of the International Conference on Future Networks and Distributed Systems
    July 2017
    325 pages
    ISBN:9781450348447
    DOI:10.1145/3102304
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 19 July 2017

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    Author Tags

    1. Hexa-rotor
    2. PM2.5
    3. Particulate matters
    4. UAV
    5. air quality
    6. remote monitoring

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    Cited By

    View all
    • (2024)Fine grained analysis method for unmanned aerial vehicle measurement based on laser-based light scattering particle sensingFrontiers in Physics10.3389/fphy.2024.141303712Online publication date: 14-May-2024
    • (2023)The Application of UAVs in the Evaluation of Thermal Comfort Levels in Buildings Equipped with Internal GreenhousesClean Technologies10.3390/cleantechnol50300555:3(1080-1114)Online publication date: 20-Sep-2023
    • (2023)Using UAVs for the fast detection and characterization of polluted areas2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)10.1109/VTC2023-Spring57618.2023.10201093(1-6)Online publication date: Jun-2023
    • (2023)Configuring mission-specific behavior in a product line of collaborating Small Unmanned Aerial SystemsJournal of Systems and Software10.1016/j.jss.2022.111543197(111543)Online publication date: Mar-2023
    • (2022)Electrochemical gas sensing module combined with Unmanned Aerial Vehicles for air quality monitoringSensors and Actuators B: Chemical10.1016/j.snb.2022.131815364(131815)Online publication date: Aug-2022
    • (2022)UAV based long range environment monitoring system with Industry 5.0 perspectives for smart city infrastructureComputers & Industrial Engineering10.1016/j.cie.2022.108066168(108066)Online publication date: Jun-2022
    • (2020)Requirements-driven configuration of emergency response missions with small aerial vehiclesProceedings of the 24th ACM Conference on Systems and Software Product Line: Volume A - Volume A10.1145/3382025.3414950(1-12)Online publication date: 19-Oct-2020
    • (2019)Real-time PM Monitoring System based on oneM2M IoT Platform and LoRa Networks2019 IEEE SENSORS10.1109/SENSORS43011.2019.8956570(1-4)Online publication date: Oct-2019
    • (2018)Investigating Everyday Information Behavior of Using Ambient DisplaysProceedings of the 2018 Conference on Human Information Interaction & Retrieval10.1145/3176349.3176880(249-252)Online publication date: 1-Mar-2018

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