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2025 | OriginalPaper | Chapter

10. Unmanned Aerial Measurement Systems for Monitoring the Environmental Area of NPP and TPP

Authors : Vitalii Babak, Sergii Babak, Artur Zaporozhets

Published in: Statistical Diagnostics of Electric Power Equipment

Publisher: Springer Nature Switzerland

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Abstract

This chapter investigates the utility of Unmanned Aerial Measurement Systems (UAMS) for environmental monitoring around nuclear and thermal power plants. UAMS offer improved safety, flexibility, and cost-effectiveness over traditional methods. The systems can be categorized by various factors, including the type of measurement signals, data collection methods, and the number of UAVs deployed. UAMS are crucial in analyzing harmful emissions and radiation, ensuring environmental and personnel safety. The study discusses UAMS’s role and future development, emphasizing its potential to enhance international and state environmental protection programs. The research includes case studies, such as the Chornobyl and Fukushima Daiichi NPP incidents, demonstrating UAVs’ pivotal role in remote monitoring and emergency response.

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previous chapter Tasks for Creating the Environmental Monitoring Systems for Energy Objects

Oleg, S., Oleksii, K., Serhii, P.: Informational and analytical system for diagnostics of the electric power equipment condition. In: 2020 IEEE 7th International Conference on Energy Smart Systems (ESS), pp. 105–110. IEEE (2020)

Zaporozhets, A., Eremenko, V., Serhiienko, R., Ivanov, S.: Methods and hardware for diagnosing thermal power equipment based on smart grid technology. In: Advances in Intelligent Systems and Computing III: Selected Papers from the International Conference on Computer Science and Information Technologies, CSIT 2018, September 11–14, Lviv, Ukraine, pp. 476–489. Springer International Publishing (2019)

Aboulian, A., Green, D.H., Switzer, J.F., Kane, T.J., Bredariol, G.V., Lindahl, P., Leeb, S.B.: NILM dashboard: A power system monitor for electromechanical equipment diagnostics. IEEE Trans. Industr. Inf. 15(3), 1405–1414 (2018)CrossRef

Babak, V.P., Babak, S.V., Eremenko, V.S., Kuts, Y.V., Myslovych, M.V., Scherbak, L.M., Zaporozhets, A.O.: Problems and features of measurements. Models and Measures in Measurements and Monitoring, pp. 1–31 (2021)

Henao, H., Capolino, G.A., Fernandez-Cabanas, M., Filippetti, F., Bruzzese, C., Strangas, E., Hedayati-Kia, S.: Trends in fault diagnosis for electrical machines: a review of diagnostic techniques. IEEE Ind. Electron. Mag. 8(2), 31–42 (2014)CrossRef

Babak, V.P., Babak, S.V., Myslovych, M.V., Zaporozhets, A.O., Zvaritch, V.M.: Simulation and software for diagnostic systems. Diagnost. Syst. Energy Equipm. 71–90 (2020)

Esmalifalak, M., Liu, L., Nguyen, N., Zheng, R., Han, Z.: Detecting stealthy false data injection using machine learning in smart grid. IEEE Syst. J. 11(3), 1644–1652 (2014)CrossRef

Kovtun, S., Kuts, Y., Malko, V., Fryz, M., Shcherbak, L., Kuts, V.: Application of Hilbert transform for power quality indicators monitoring in general purpose grids. Syst. Res. Energy, 2(77):71–83 (2024)

Hotra, O., Kulyk, M., Babak, V., Kovtun, S., Zgurovets, O., Mroczka, J., Kisała, P.: Organisation of the structure and functioning of self-sufficient distributed power generation. Energies 17(1), 27 (2023)CrossRef

10.

Zagorodny, A., Bogdanov, V., Ermoliev, Y., Kulyk, M.: Development of top-down and bottom-up methodology using risk functions for systems with multiplicity of solutions. In: Systems, Decision and Control in Energy IV: Volume I. Modern Power Systems and Clean Energy, pp. 3–23. Springer Nature Switzerland, Cham (2023)

11.

Zaporozhets, A., Kovtun, S., Dekusha, O.: System for monitoring the technical state of heating networks based on UAVs. In: Conference on Computer Science and Information Technologies, pp. 935–950. Springer International Publishing, Cham (2019)

12.

Babak, V.P., Babak, S.V., Eremenko, V.S., Kuts, Y.V., Myslovych, M.V., Scherbak, L.M., Zaporozhets, A.O.: Monitoring the air pollution with UAVs. Models Measures Measurem. Monitor. 191–225 (2021)

13.

Popov, O., Kupriianchuk, S., Sizov, A., Matvieieva, I., Kovach, V.: Modeling of radiation characteristics of fuel-containing materials of the shelter object for calculation dose rate. In: Systems, Decision and Control in Energy IV: Volume IІ. Nuclear and Environmental Safety, pp. 23–34. Springer Nature Switzerland, Cham (2023)

14.

Diviziniuk, M., Popov, O., Telelym, V., Kovach, V., Artemchuk, V.: General characteristics of radar stations for physical protection of nuclear objects. In: Systems, Decision and Control in Energy IV: Volume IІ. Nuclear and Environmental Safety, pp. 113–124. Springer Nature Switzerland, Cham (2023)

15.

Babak, V.P., Babak, S.V., Myslovych, M.V., Zaporozhets, A.O., Zvaritch, V.M.: Principles of construction of systems for diagnosing the energy equipment. Diagnost. Syst. Energy Equipm. 1–22 (2020)

16.

Godun, R., Sushchenko, K., Kupriianchuk, S., Iatsyshyn, A., Lahoiko, A.: Neutron Incident at the Chornobyl NPP Shelter Object: Study of the Causes and Impacts of Safety in the New Confinement. In Systems, Decision and Control in Energy IV: Volume IІ. Nuclear and Environmental Safety, pp. 91–111. Springer Nature Switzerland, Cham (2023)

17.

Onda, Y., Taniguchi, K., Yoshimura, K., Kato, H., Takahashi, J., Wakiyama, Y., Smith, H.: Radionuclides from the Fukushima Daiichi nuclear power plant in terrestrial systems. Nat. Rev. Earth Environ. 1(12), 644–660 (2020)CrossRef

18.

Tominaga, T., Hachiya, M., Tatsuzaki, H., Akashi, M.: The accident at the Fukushima Daiichi nuclear power plant in 2011. Health Phys. 106(6), 630–637 (2014)CrossRef

19.

Steinhauser, G., Brandl, A., Johnson, T.E.: Comparison of the Chernobyl and Fukushima nuclear accidents: a review of the environmental impacts. Sci. Total. Environ. 470, 800–817 (2014)CrossRef

20.

Rezinkina, M.M., Sokol, Y.I., Zaporozhets, A.O., Gryb, O.G., Karpaliuk, I.T., Shvets, S.V.: Monitoring of energy objects parameters with using UAVs. In: Control of Overhead Power Lines with Unmanned Aerial Vehicles (UAVs), pp. 1–8. Springer International Publishing, Cham (2021)

21.

Zaporozhets, A.: Overview of quadrocopters for energy and ecological monitoring. In: Systems, Decision and Control in Energy I, pp. 15–36. Springer International Publishing, Cham (2020)

22.

Popov, O., Bondar, O., Ivaschenko, T., Puhach, O., Iatsyshyn, A., Skurativskyi, S.: Features of the modern UAV-based complexes use to solve radiation control problems. In: Systems, Decision and Control in Energy IV: Volume IІ. Nuclear and Environmental Safety, pp. 35–57. Springer Nature Switzerland, Cham (2023)

23.

Zaporozhets, A., Babak, V., Isaienko, V., Babikova, K.: Analysis of the air pollution monitoring system in Ukraine. In: Systems, Decision and Control in Energy I, pp. 85–110. Springer International Publishing, Cham (2020)

24.

Rezinkina, M., Rezinkin, O., Zaporozhets, A.: UAVs Application in power engineering. In: 2021 IEEE 6th International Conference on Actual Problems of Unmanned Aerial Vehicles Development (APUAVD), pp. 161–164. IEEE (2021)

25.

Babak, S., Zaporozhets, A., Gryb, O., Karpaliuk, I.: Analysis of UAVs and their technical parameters for overhead power lines monitoring. In: Systems, Decision and Control in Energy IV: Volume I. Modern Power Systems and Clean Energy, pp. 181–193. Springer Nature Switzerland, Cham (2023)

26.

Mohsan, S.A.H., Khan, M.A., Noor, F., Ullah, I., Alsharif, M.H.: Towards the unmanned aerial vehicles (UAVs): a comprehensive review. Drones 6(6), 147 (2022)CrossRef

27.

Alioua, A., Djeghri, H.E., Cherif, M.E.T., Senouci, S.M., Sedjelmaci, H.: UAVs for traffic monitoring: a sequential game-based computation offloading/sharing approach. Comput. Netw. 177, 107273 (2020)CrossRef

28.

Shakhatreh, H., Sawalmeh, A.H., Al-Fuqaha, A., Dou, Z., Almaita, E., Khalil, I., Guizani, M.: Unmanned aerial vehicles (UAVs): a survey on civil applications and key research challenges. IEEE Access 7, 48572–48634 (2019)CrossRef

29.

Martin, P.G., Martin, P.G.: Response, Contamination and Release Estimates. The 2011 Fukushima Daiichi Nuclear Power Plant Accident: An Analysis from the Metre to the Nanometre Scale, 23–61 (2019).

30.

Briechle, S., Molitor, N., Krzystek, P., Vosselman, G.: Detection of radioactive waste sites in the Chornobyl exclusion zone using UAV-based lidar data and multispectral imagery. ISPRS J. Photogramm. Remote Sens. 167, 345–362 (2020)CrossRef

31.

Burtniak, V., Zabulonov, Y., Stokolos, M., Bulavin, L., Krasnoholovets, V.: Application of a territorial remote radiation monitoring system at the Chornobyl nuclear accident site. J. Appl. Remote. Sens. 12(4), 046007–046007 (2018)CrossRef

32.

Sanada, Y.: Experience for fukushima environmental radiation monitoring and application for preparedness of post-accident. In: 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), pp. 1–5. IEEE (2021)

33.

Sato, Y., Ozawa, S., Terasaka, Y., Minemoto, K., Tamura, S., Shingu, K., Torii, T.: Remote detection of radioactive hotspot using a Compton camera mounted on a moving multi-copter drone above a contaminated area in Fukushima. J. Nucl. Sci. Technol. 57(6), 734–744 (2020)CrossRef

34.

Farinha, A., Zufferey, R., Zheng, P., Armanini, S.F., Kovac, M.: Unmanned aerial sensor placement for cluttered environments. IEEE Robot and Automat Lett 5(4), 6623–6630 (2020)CrossRef

35.

Koparan, C., Koc, A.B., Privette, C.V., Sawyer, C.B.: In situ water quality measurements using an unmanned aerial vehicle (UAV) system. Water 10(3), 264 (2018)CrossRef

36.

Yoon, H., Shin, J., Spencer, B.F., Jr.: Structural displacement measurement using an unmanned aerial system. Comput-Aided Civ Infrastruct Eng 33(3), 183–192 (2018)CrossRef

37.

Balestrieri, E., Daponte, P., De Vito, L., Lamonaca, F.: Sensors and measurements for unmanned systems: an overview. Sensors 21(4), 1518 (2021)CrossRef

38.

Li, B., Li, K., Chen, J.: A UAV migration-based decision-making scheme for on-demand service in 6G network. Alex. Eng. J. 69, 25–33 (2023)CrossRef

39.

Olanipekun, O.A., Montalvo, C.J., Salau, T.A., Simolowo, E.O.: Unmanned aerial vehicles: a 21st century review of advanced air mobility platforms. In: AIAA Aviation 2023 Forum, p. 4044, (2023)

40.

Babak, S.: Radiation monitoring of environment using unmanned aerial complex. Adv. Sci. J. 12, 41–44 (2014)CrossRef

41.

Čerba, Š, Lüley, J., Vrban, B., Osuský, F., Nečas, V.: Unmanned radiation-monitoring system. IEEE Trans. Nucl. Sci. 67(4), 636–643 (2020)CrossRef

42.

Xiang, W., Xinxin, W., Jianhua, Z., Jianchao, F., Xiu, S., Dejun, Z.: Monitoring the thermal discharge of hongyanhe nuclear power plant with aerial remote sensing technology using a UAV platform. In: 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 2958–2961. IEEE (2017)

43.

Prisacariu, V.: The history and the evolution of UAVs from the beginning till the 70s. J. Defense Res. Manage. (JoDRM) 8(1), 181–189 (2017)MathSciNet

44.

Prisacariu, V.: A brief history of UAVs in the 1970s. Sci. Res. Educat. the Air Force-AFASES, 2022 (2022)

45.

Kahvecioglu, S., Oktal, H.: Historical development of UAV technologies in the world: the case of Turkey. Sustainable Aviat.: Energy Environ. Issues, pp. 323–331 (2016)

46.

Gibradze, G., Guchua, A., Gogua, G.: The role of modern technologies in military conflicts of the 21st century. Ukrainian Policymaker 11, 26–34 (2022)CrossRef

47.

Grant, Jr, R.L.: Military innovation in the third age of US unmanned aviation, 1991–2015 (Doctoral dissertation, Monterey, California. Naval Postgraduate School) (2020)

48.

McKinnon, G.: The 1960 U-2 crisis reconsidered: technology, masculinity, and US airpower’s ‘Unmanning’. Diplomatic History, dhae029 (2024)

49.

Hall, A.R., Coyne, C.J.: The political economy of drones. Defence and Peace Econom 25(5), 445–460 (2014)CrossRef

50.

Kolejka, J., Plánka, L.: Technical report: the development and experience with UAV research applications in former Czechoslovakia (1960s–1990s). Pure Appl. Geophys. 175(9), 3375–3390 (2018)CrossRef

51.

UAV Market Size. Report on Industry Size & Market Share Analysis - Growth Trends & Forecasts (2024–2029) Source: https://www.mordorintelligence.com/industry-reports/uav-market

52.

Kunertova, D.: Military drones in Europe: the European defense market and the spread of military UAV technology (2019)

53.

Brumfiel, G.: Japan’s long road ahead. Nature 472(7341), 14–14 (2011)CrossRef

54.

Brown, S.T., Lambrigtsen, B., Denning, R.F., Gaier, T., Kangaslahti, P., Lim, B.H., Tanner, A.B.: The high-altitude MMIC sounding radiometer for the global hawk unmanned aerial vehicle: instrument description and performance. IEEE Trans. Geosci. Remote Sens. 49(9), 3291–3301 (2011)CrossRef

55.

Fleming, J., Langford, M., Tweedie, S., Ng, W., & Goossen, E. (2012) Development of an air data system for ducted fan unmanned aircraft. In: 50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition (p. 668)

56.

Babak, V.P., Babak, S.V., Eremenko, V.S., Kuts, Y.V., Myslovych, M.V., Scherbak, L.M., Zaporozhets, A.O.: Models and measures for atmospheric pollution monitoring. Models and measures in measurements and monitoring, pp 227–266 (2021)

57.

Jawhar, I., Mohamed, N., Al-Jaroodi, J., Agrawal, D.P., Zhang, S.: Communication and networking of UAV-based systems: classification and associated architectures. J. Netw. Comput. Appl. 84, 93–108 (2017)CrossRef

58.

Korchenko, A.G., Illyash, O.S.: The generalized classification of unmanned air vehicles. In: 2013 IEEE 2nd International Conference Actual Problems of Unmanned Air Vehicles Developments Proceedings (APUAVD), pp. 28–34. IEEE (2013)

59.

Zaporozhets, A.O., Khaidurov, V.V.: Mathematical models of inverse problems for finding the main characteristics of air pollution sources. Water Air Soil Pollut. 231(12), 563 (2020)CrossRef

60.

Babak, S., Myslovych, M., Sysak, R.: Module structure of UAV-based computerized systems for remote environment monitoring of energy facilities. In: 2016 17th International Conference Computational Problems of Electrical Engineering (CPEE), pp. 1–3. IEEE (2016)

61.

Babak, V.P., Babak, S.V., Eremenko, V.S., Kuts, Y.V., Myslovych, M.V., Scherbak, L.M., Zaporozhets, A.O. (2021) Models and Measures for Measuring Random Angular Quantities. Models Measures Measurem. Monitor. 61–97

62.

Babak, V. P., Babak, S.V., Eremenko, V.S., Kuts, Y.V., Myslovych, M.V., Scherbak, L.M., Zaporozhets, A.O.: Examples of using models and measures on the circle. Models and measures in measurements and monitoring, 127–156, (2021)

63.

Luo, C., McClean, S.I., Parr, G., Teacy, L., De Nardi, R.: UAV position estimation and collision avoidance using the extended Kalman filter. IEEE Trans. Veh. Technol. 62(6), 2749–2762 (2013)CrossRef

64.

Huang, T., Jiang, H., Zou, Z., Ye, L., Song, K.: An integrated adaptive Kalman filter for high-speed UAVs. Appl. Sci. 9(9), 1916 (2019)CrossRef

65.

Xiong, J.J., Zheng, E.H.: Optimal kalman filter for state estimation of a quadrotor UAV. Optik 126(21), 2862–2868 (2015)CrossRef

66.

Kwak, J., Sung, Y.: Autonomous UAV flight control for GPS-based navigation. IEEE Access 6, 37947–37955 (2018)CrossRef

67.

Lee, C., Kim, H.R.: Optimizing UAV-based radiation sensor systems for aerial surveys. J. Environ. Radioact. 204, 76–85 (2019)CrossRef

68.

Han, J., Xu, Y., Di, L., Chen, Y.: Low-cost multi-UAV technologies for contour mapping of nuclear radiation field. J. Intell. Rob. Syst. 70, 401–410 (2013)CrossRef

69.

Balamurugan, G., Valarmathi, J., Naidu, V.P.S.: Survey on UAV navigation in GPS denied environments. In: 2016 International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES), pp. 198–204. IEEE (2016)

70.

Kuroki, Y., Young, G.S., Haupt, S.E.: UAV navigation by an expert system for contaminant mapping with a genetic algorithm. Expert Syst. Appl. 37(6), 4687–4697 (2010)CrossRef

71.

Zhang, G., Hsu, L.T.: Intelligent GNSS/INS integrated navigation system for a commercial UAV flight control system. Aerosp. Sci. Technol. 80, 368–380 (2018)CrossRef

72.

Zaporozhets, A.O.: Correlation analysis between the components of energy balance and pollutant emissions. Water Air Soil Pollut. 232, 1–22 (2021)CrossRef

73.

Chepur, M.L., Babak, S.V., Marinoshenko, O.P., Morozov, A.V., Kanchenko, V.Y., Karnaushenko, R.V.: Method for determining the activity of volume aerosols during communal radiation accident using unmanned aircraft. Nucl. Phys. Atomic Energy 14(4) (2013)

Title: Unmanned Aerial Measurement Systems for Monitoring the Environmental Area of NPP and TPP
Authors: Vitalii Babak
Sergii Babak
Artur Zaporozhets
Publisher: Springer Nature Switzerland
Book: Statistical Diagnostics of Electric Power Equipment
Print ISBN: 978-3-031-76252-9

Electronic ISBN: 978-3-031-76253-6

Copyright Year: 2025
DOI: https://doi.org/10.1007/978-3-031-76253-6_10