Abstract
Outdoor air quality monitoring plays crucial role on preventing environment pollution. The idea of use of unmanned aerial vehicles (UAV) in this area is of great interest cause they provide more flexibility than ground systems. The main focus of this work is to propose alternative, competitive outdoor wireless monitoring system that will allow to collect pollution data, detect and locate leakage places within petrol, gas and refinery stations or in hard to reach places. This system should be lightweight, compact, could be mounted on any UAV, operate in GPS denied environments and should be easily deployed and piloted by operator with minimal risk to his health. This paper presents the system, configured on a commercial UAV AR.Drone, embedding gas sensor to it, where as a ground station stands Robot Operation System. Conducted first stage experiments proved capabilities of our system to operate in real-world conditions and serve as a basis to carry out further research.
References
Edokpolo, B., Yu, Q.J., Connell, D.: Health risk characterization for exposure to benzene in service stations and petroleum refineries environments using human adverse response data. Toxicol. Rep. 2, 917–927 (2015)
Terrés, I.M.M., Miñarro, M.D., Ferradas, E.G., Caracena, A.B., Rico, J.B.: Assessing the impact of petrol stations on their immediate surroundings. J. Environ. Manage. 91(12), 2754–2762 (2010)
Correa, S.M., Arbilla, G., Marques, M.R.C., Oliveira, K.M.P.G.: The impact of BTEX emissions from gas stations into the atmosphere. Atmos. Pollut. Res. 3(2), 163–169 (2012)
Kountouriotis, A., Aleiferis, P.G., Charalambides, A.G.: Numerical investigation of voc levels in the area of petrol stations. Sci. Total Environ. 470, 1205–1224 (2014)
Sairat, T., Homwuttiwong, S., Homwutthiwong, K., Ongwandee, M.: Investigation of gasoline distributions within petrol stations: spatial and seasonal concentrations, sources, mitigation measures, and occupationally exposed symptoms. Environ. Sci. Pollut. Res. 22(18), 13870–13880 (2015)
Valavanis, K.P., Vachtsevanos, G.J.: Handbook of Unmanned Aerial Vehicles. Springer Publishing Company, Incorporated, Dordrecht (2014)
Lozano, J., Suárez, J.I., Arroyo, P., Manuel, J.: Wireless sensor network for indoor air quality monitoring. Chem. Eng. 30, 319–324 (2012)
Yu, T.-C., Lin, C.-C., Chen, C.-C., Lee, W.-L., Lee, R.-G., Tseng, C.-H., Liu, S.-P.: Wireless sensor networks for indoor air quality monitoring. Med. Eng. Phys. 35(2), 231–235 (2013)
Li, J., Xin, J., Li, M., Lai, B., Ma, Q.: Wireless sensor network for indoor air quality monitoring. Sens. Transducers 172(6), 86–90 (2014)
Bartholmai, M., Neumann, P.: Micro-drone for gas measurement in hazardous scenarios via remote sensing. In: Proceedings of 6th WSEAS International Conference on Remote Sensing (REMOTE 2010) (2010)
Neumann, P., Bartholmai, M., Schiller, J.H., Wiggerich, B., Manolov, M.: Micro-drone for the characterization and self-optimizing search of hazardous gaseous substance sources: a new approach to determine wind speed and direction. In: 2010 IEEE International Workshop on Robotic and Sensors Environments (ROSE), pp. 1–6. IEEE (2010)
Neumann, P.P., Bennetts, V.H., Lilienthal, A.J., Bartholmai, M., Schiller, J.H.: Gas source localization with a micro-drone using bio-inspired and particle filter-based algorithms. Adv. Robot. 27(9), 725–738 (2013)
Neumann, P., Asadi, S., Schiller, J.H., Lilienthal, A.J., Bartholmai, M.: An artificial potential field based sampling strategy for a gas-sensitive micro-drone. In: IROS Workshop on Robotics for Environmental Monitoring (WREM), pp. 34–38 (2011)
Rossi, M., Brunelli, D., Adami, A., Lorenzelli, L., Menna, F., Remondino, F.: Gas-drone: portable gas sensing system on uavs for gas leakage localization. In: 2014 IEEE SENSORS, pp. 1431–1434. IEEE (2014)
Croizé, P., Archez, M., Boisson, J., Roger, T., Monsegu, V.: Autonomous measurement drone for remote dangerous source location mapping. Int. J. Environ. Sci. Dev. 6(5), 391 (2015)
Klein, G., Murray, D.: Parallel tracking and mapping for small ar workspaces. In: 6th IEEE and ACM International Symposium on Mixed and Augmented Reality, 2007, ISMAR 2007, pp. 225–234. IEEE (2007)
Engel, J., Sturm, J., Cremers, D.: Accurate figure flying with a quadrocopter using onboard visual and inertial sensing. In: IMU, vol. 320, p. 240 (2012)
Liu, Z., Li, Z., Liu, B., Xinwen, F., Ioannis, R., Ren, K.: Rise of mini-drones: applications and issues. In: Proceedings of the 2015 Workshop on Privacy-Aware Mobile Computing, pp. 7–12. ACM (2015)
Parrot.: Ar.drone 1.0 (2010). http://ardrone2.parrot.com/support-ardrone-1/
Krajník, T., Vonásek, V., Fišer, D., Faigl, J.: AR-Drone as a platform for robotic research and education. In: Obdržálek, D., Gottscheber, A. (eds.) EUROBOT 2011. CCIS, vol. 161, pp. 172–186. Springer, Heidelberg (2011). doi:10.1007/978-3-642-21975-7_16
Quigley, M., Conley, K., Gerkey, B., Faust, J., Foote, T., Leibs, J., Wheeler, R., Ng, A.Y.: Ros: an open-source robot operating system. In: ICRA Workshop on Open Source Software, vol. 3, p. 5 (2009)
Monajjemi, M., et al.: Ardrone autonomy: a ROS driver for AR.Drone 1.0 & 2.0 (2015). http://github.com/AutonomyLab/ardrone_autonomy
Liu, X., Cheng, S., Liu, H., Hu, S., Zhang, D., Ning, H.: A survey on gas sensing technology. Sensors 12(7), 9635–9665 (2012)
Mercado, D.A., Castillo, P., Lozano, R.: Quadrotor’s trajectory tracking control using monocular vision navigation. In: 2015 International Conference on Unmanned Aircraft Systems (ICUAS), pp. 844–850. IEEE (2015)
Nguyen, T., Mann, G.K.I., Gosine, R.G., Vardy, A.: Appearance-based visual-teach-and-repeat navigation technique for micro aerial vehicle. J. Intell. Robot. Syst. pp. 1–24 (2016). doi:10.1007/s10846-015-0320-1
Li, P., Garratt, M., Lambert, A., Lin, S.: Metric sensing and control of a quadrotor using a homography-based visual inertial fusion method. Robot. Auton. Syst. 76, 1–14 (2016)
Engel, J., Sturm, J., Cremers, D.: Scale-aware navigation of a low-cost quadrocopter with a monocular camera. Robot. Auton. Syst. 62(11), 1646–1656 (2014)
Daugaard, M.: Semi-autonom indendørs navigation for luftbåren robot. Ph.D. thesis, Aarhus Universitet, Datalogisk Institut (2012)
Thyregod, T., Daugaard, M.: Navigation for robots with wifi and cv (2012)
Nosaari. Ardudrone (2011). https://code.google.com/archive/p/ardudrone/
Gunnarsson, G.: Udp client/server system (2012). https://www.abc.se/m6695/udp.html
Acknowledgements
This work comes under the framework of the project IT874-13 granted by the Basque Regional Government. The authors would like to thank the Erasmus Mundus Action 2 ACTIVE fellowship program, and the participating colleagues from the SUPREN research group, Environment and Chemical Engineering Department of the University of the Basque Country.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Koval, A., Irigoyen, E. (2017). Mobile Wireless System for Outdoor Air Quality Monitoring. In: Graña, M., López-Guede, J.M., Etxaniz, O., Herrero, Á., Quintián, H., Corchado, E. (eds) International Joint Conference SOCO’16-CISIS’16-ICEUTE’16. SOCO CISIS ICEUTE 2016 2016 2016. Advances in Intelligent Systems and Computing, vol 527. Springer, Cham. https://doi.org/10.1007/978-3-319-47364-2_33
Download citation
DOI: https://doi.org/10.1007/978-3-319-47364-2_33
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-47363-5
Online ISBN: 978-3-319-47364-2
eBook Packages: EngineeringEngineering (R0)