Abstract
This paper discusses the mapping of ionizing radiation on building surfaces by using an unmanned aircraft system (UAS). The mapping task itself is important for the decommissioning of various nuclear facilities, for example, fuel processing sites or nuclear waste storage areas. The surface map can inform relevant authorities about the strength and distribution of radioactive sources inside an investigated building. The UAS is employed for the given purpose thanks to its many advantages, such as low price and the possibility of approaching a surface closely; moreover, the applied technique enables the user to create a 3D model of the target via such means as aerial photogrammetry. We set up an approximate model of a real building within our university campus, capturing the inner structures and subdividing the examined area into partial sectors, or groups, according to the construction materials; this criterion is relevant for simulating radiation propagation. The choice of the actual study location allows future experimental verification of the proposed methods; moreover, we can work with authentic photogrammetric products obtained during previous flights. In the project, two surface mapping methods are designed and tested on the simulated scenario, which assumes several radiation sources inside the building. One of the techniques simply assigns the measured value to the nearest point of the photogrammetric building model, while the other considers also rough information on the position of the sources to estimate the surface intensity more precisely. For better interpretation, the scattered data points are interpolated. Finally, the results of both approaches are compared with the computed reference map.
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Sanada, Y., Torii, T.: Aerial radiation monitoring around the Fukushima Dai-ichi nuclear power plant using an unmanned helicopter. J. Environ. Radioact. 139, 294–299 (2015)
Martin, P.G., Payton, O.D., Fardoulis, J.S., Richards, D.A., Yamashiki, Y., Scott, T.B.: Low altitude unmanned aerial vehicle for characterising remediation effectiveness following the FDNPP accident. J. Environ. Radioact. 151, 58–63 (2016)
Martin, P.G., Payton, O.D., Fardoulis, J.S., Richards, D.A., Scott, T.B.: The use of unmanned aerial systems for the mapping of legacy uranium mines. J. Environ. Radioact. 143, 135–140 (2015)
Aleotti, J., et al.: Detection of nuclear sources by UAV teleoperation using a visuo-haptic augmented reality interface. Sensors 17(10), 2234 (2017)
Gabrlik, P., Lazna, T.: Simulation of gamma radiation mapping using an unmanned aerial system. In: 15th IFAC Conference on Programmable Devices and Embedded Systems PDeS 2018, pp. 256–262. Elsevier (2018)
Lazna, T., Gabrlik, P., Jilek, T., Zalud, L.: Cooperation between an unmanned aerial vehicle and an unmanned ground vehicle in highly accurate localization of gamma radiation hotspots. Int. J. Adv. Robot. Syst. 15(1), 1–16 (2018)
Knoll, G.F.: Radiation Detection and Measurement. Wiley, Hoboken (2010)
Brown, A., Franken, P., Bonner, S., Dolezal, N., Moross, J.: Safecast: successful citizen-science for radiation measurement and communication after Fukushima. J. Radiol. Prot. 36(2), S82–S101 (2016)
Stöcker, C., Nex, F., Koeva, M., Gerke, M.: Quality assessment of combined IMU/GNSS data for direct georeferencing in the context of UAV-based mapping. In: International Conference on Unmanned Aerial Vehicles in Geomatics, Bonn, Germany, pp. 151–157 (2017)
Lo, C.F., et al.: The direct georeferencing application and performance analysis of UAV Helicopter in GCP-free area. In: International Conference on Unmanned Aerial Vehicles in Geomatics, Toronto, Canada, pp. 151–157 (2015)
Lafarge, F., Descombes, X., Zerubia, J., Pierrot-Deseilligny, M.: Building reconstruction from a single DEM. In: 2008 IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, AK, USA, pp. 1–8 (2008)
Salinas, I.C.P., Conti, C.C., Lopes, R.T.: Effective density and mass attenuation coefficient for building material in Brazil. Appl. Radiat. Isotopes. 64, 13–18 (2006)
Ahmed, G.S.M., Mahmoud, A.S., Salem, S.M., Abou-Elnasr, T.Z.: Study of gamma-ray attenuation coefficients of some glasses containing CdO. Am. J. Phys. Appl. 3(4), 112–120 (2015)
Hubbell, J.H., Seltzer, S.M.: Tables of X-Ray Mass Attenuation Coefficients and Mass Energy-Absorption Coefficients. National Institute of Standards and Technology, Gaithersburg, Maryland (2004)
Moller, T., Trumbore, B.: Fast, minimum storage ray-triangle intersection. J. Graph. Tools. 2(1), 21–28 (1997)
Nejdl, L., et al.: Remote-controlled robotic platform for electrochemical determination of water contaminated by heavy metal ions. Int. J. Electrochem. Sci. 10(4), 3635–3643 (2015)
Be, M.M., et al.: Monographie BIPM-5 - Table of Radionuclides, vol. 3. Bureau International des Poids et Mesures, Sevres (2006)
Smith, D.S., Stabin, M.G.: Exposure rate constants and lead shielding values For over 1,100 radionuclides. Health Phys. 102(3), 271–291 (2012)
Deuflhard, P.: Least squares problems: gauss-newton methods. In: Newton Methods for Nonlinear Problems, Springer Series in Computational Mathematics, pp. 173–231. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-23899-4_4
Lazna, T.: Optimizing the localization of gamma radiation point sources using a UGV. In: 2018 ELEKTRO. IEEE (2018)
Amidror, I.: Scattered data interpolation methods for electronic imaging systems: a survey. J. Electron. Imaging 11(2), 157–176 (2002)
Goorley, T., et al.: Features of MCNP6. In: SNA + MC 2013 - Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo. EDP Sciences, Les Ulis, France (2014)
Acknowledgments
This work was supported by the European Regional Development Fund under the project Robotics 4 Industry 4.0 (reg. no. CZ.02.1.01/0.0/0.0/15_003/0000470).
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Lazna, T., Gabrlik, P., Jilek, T., Burian, F. (2020). Simulating UAS-Based Radiation Mapping on a Building Surface. In: Mazal, J., Fagiolini, A., Vasik, P. (eds) Modelling and Simulation for Autonomous Systems. MESAS 2019. Lecture Notes in Computer Science(), vol 11995. Springer, Cham. https://doi.org/10.1007/978-3-030-43890-6_11
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DOI: https://doi.org/10.1007/978-3-030-43890-6_11
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