METHOD FOR DETERMINING THE RATIONAL NUMBER OF UAV FLOTILLA TAKING INTO ACCOUNT THE RELIABILITY OF THE AIRCRAFT
DOI:
https://doi.org/10.30837/ITSSI.2023.23.108Keywords:
UAV flotilla control; UAV grouping; rational number; emergencies; reliability of functioningAbstract
The conducted studies showed that projects of analysis and assessment of emergencies at critical infrastructure facilities have been initiated in Ukraine and abroad. The purpose of such a system is the formation of data for the development of architecture, demonstration analytics and a prototype of decision support capabilities, taking into account the use of currently available data and analytical methodologies. Unmanned aerial vehicles (UAVs), which work with ground and air control points in emergencies, are planned as the basis for the construction of such a system. The subject of the study is methods of determining the rational number of UAV flotillas taking into account the assigned tasks and characteristics. Currently, there is no method for determining the rational number of a UAV flotilla, taking into account the reliability of the aircraft. An urgent scientific and technical task is the task of creating a rational number of the UAV flotilla, taking into account the reliability of the aircraft and the necessary quality of monitoring the situation in emergencies. The purpose of the article is to develop a method for determining the rational number of UAV flotillas taking into account the reliability of the aircraft and the necessary quality of monitoring the situation in emergencies. Research methods – provisions of risk theory, probability theory, combinatorics, mathematical apparatus of reliability theory, mathematical methods of optimization. Research results: an analysis of factors affecting the structure of the UAV grouping was carried out; the dependence of task performance on the probability of UAV failure under the influence of interfering factors was obtained; it is shown that in conditions with a low impact of interfering factors, the reliability of individual UAVs does not have a significant impact on the performance of assigned tasks. It has been established that with increasing influence of interfering factors, the probability of completing tasks depends on the reliability of the aircraft. Conclusions: The proposed method makes it possible to create a rational number of UAV flotillas taking into account the reliability of the aircraft and the necessary quality of monitoring the situation with a rational number of UAVs in emergencies.
References
References
Sachenko A. et al. NPP post-accident monitoring system based on unmanned aircraft vehicle: concept, design principles // Nuclear and radiation safety. – 2017. – №. 1 (73). P. 24–29. DOI:10.32918/nrs.2017.1(73).04
An Internet of Drone-based multi-version postsevere accident monitoring system: structures and reliability / Fesenko H., Kharchenko V., Sachenko A. et al. Dependable IoT for human and industry modeling, architecting, implementation (Kharchenko V., Kor A., Rucinski A. eds.). Denmark, The Netherlands: River Publishers, 2018. P. 197–217. DOI: 10.1201/9781003337843-12
Stekolnikov Y. I. Survivability of systems / Y. I. Stekolnikov. – St. Petersburg: Polytechnic, 2002, 155 р.
Babak S. V. Environmental monitoring of nuclear power plants using video surveillance systems and exposure dose rate measurement based on an unmanned 55 aircraft complex. Information processing systems. 2015. Rel. 7 (132). P. 190–194.
Zabulonov Y. L., Burtnyak V. М., Odukalets L. А. System for effective remote control and monitoring of radiation situation based on Unmanned Aerial Vehicle. Science and Innovation. 2017. № 4(13). P. 46–53. DOI: 10.15407/scine13.04.040.
Tahtawi A., Andika E., Yusuf M., Harjanto W. Design of quadrotor UAV and Internet-of-Things based air pollution monitoring systems. International Journal of Information Technology and Electrical Engineering. 2019. Vol. 3, no. 4. P. 120–126. DOI: 10.22146/ijitee.5120.
Fesenko G. V., Lyashenko G. A., Cherepnyov I. A. Use of a combinatorial approach to assessing the survivability of a fleet of unmanned aerial vehicles when performing monitoring of potentially dangerous objects. Bulletin of Kharkiv National Technical University of Agriculture, Rel. 203 "Problems of energy supply and energy saving in the agricultural sector of Ukraine". 2019. P. 152–154.
Lebediev V. O. Methodology of risk analysis in information systems. Collection of scientific works: "Modern information systems" STJ. – K.: National Technical University "Kharkiv Polytechnic Institute" 2021 y. Vol 5, №4, P. 60–63.
Petritoli E., Leccese F., Ciani L. Reliability assessment of UAV systems // 2017 IEEE International Workshop on Metrology for AeroSpace (MetroAeroSpace). – IEEE, 2017. – Р. 266–270. DOI:10.1109/MetroAeroSpace.2017.7999577
Hildmann H., Kovacs E. Using unmanned aerial vehicles (UAVs) as mobile sensing platforms (MSPs) for disaster response, civil security and public safety // Drones. – 2019. – Т. 3. – №. 3. – 59 р. DOI:10.3390/drones3030059
Petritoli E., Leccese F., Ciani L. Reliability and maintenance analysis of unmanned aerial vehicles // Sensors. – 2018. – Т. 18. – №. 9. – 3171 р. DOI:10.3390/s18093171
Semenov, S., & Zhang, M. J. (2022), "Comparative studies of methods for improving the cyber security of unmanned aerial vehicles with the built-in ADS-B system", Advanced Information Systems, 6 (4), Р. 69–73. DOI: https://doi.org/10.20998/2522-9052.2022.4.10.
Kharchenko V. A., Fesenko H. N. Doukas Stochastic continues-time model of the drone fleet: research of survivability and choice of parameters. International Journal of Instrumentation and Measurement. 2017. Vol. 2. P. 25–30.
Kharchenko V. An approach to the drone fleet survivability assessment based on a combinatorial model / V. Kharchenko, H. Fesenko, N. Bardis // Math. Methods and Computational Techniques in Sci. and Eng. (MMCTSE 2018): Proc. AIP Conf. 2018. Vol. 1982. P. 47–49. DOI:10.1063/1.5045453
Zhurahivskyi A. V. Reliability of electric power systems and electric networks: textbook / A. V. Zhurahivskyi, S. V. Kazanskyi, Y. P. Mateyenko, O. R. Pastukh. – Kyiv: Igor Sikorsky Kyiv Polytechnic Institute, Ed. "Polytechnic", 2017. – 456 p. – Bibliography. Р. 450–452. ISBN 978-966-622-86
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