Друк

S. Rudakov, O. Myrgorod, P. Pirohov, A. Perehin, R. Melezhyk. Improvement of algorithms for enhancing the efficiency of fire situation monitoring. P. 309-327.

Improvement of algorithms for enhancing the efficiency of fire situation monitoring

 

Rudakov Serhii

National University of Civil Protection of Ukraine

https://orcid.org/0000-0001-8263-0476

 

Myrgorod Oksana

National University of Civil Protection of Ukraine

https://orcid.org/0000-0002-5989-3435

 

Pirohov Oleksandr

National University of Civil Protection of Ukraine

https://orcid.org/0000-0002-0958-0801

 

Perehin Alina

National University of Civil Protection of Ukraine

https://orcid.org/0000-0003-2062-5537

 

Melezhyk Roman

National University of Civil Protection of Ukraine

https://orcid.org/0000-0001-6425-4147

 

DOI: https://doi.org/10.52363/2524-0226-2026-43-19

 

Keywords: fire safety, unmanned aerial vehicles, fire monitoring, optimal flight altitude

 

Аnnotation

 

The article examines the process of monitoring fire conditions using small unmanned aerial ve-hicles (hereinafter referred to as UAVs). The object of the study is the process of remote observation of fire hotspots, while the subject is the dependence of the efficiency of detecting objects of interest and flight safety on the UAV flight altitude. The research problem lies in the contradiction between the need to improve the reliability of object detection and ensuring UAV flight safety under the in-fluence of hazardous fire-related factors, including smoke, thermal radiation, and air turbulence. The aim of the study is to improve the efficiency of fire monitoring by determining the optimal UAV flight altitude. The paper develops a monitoring efficiency criterion based on minimizing total losses, taking into account both losses associated with detection errors and losses caused by the risk of UAV loss. Mathematical models of object observability and flight safety are proposed, considering variable parameters of the fire environment, including smoke intensity, characteristics of the underlying sur-face, and thermal effects. Based on these models, an algorithm for determining the optimal UAV flight altitude for individual fire hotspots is developed, taking into account local conditions. A dis-tinctive feature of the obtained results is the comprehensive consideration of the mutual influence of observation conditions and flight hazard factors, as well as the adaptive nature of the proposed ap-proach, which enables the determination of optimal flight parameters in real time for different areas. According to the simulation results, the use of the proposed approach increases monitoring efficiency by an average of 15 %, and in some cases by up to 40–80 % compared to flights at a fixed altitude. The obtained results can be applied in decision support systems during fire response operations.

 

References

 

  1. Merino, L., Caballero, F., Martínez-de-Dios, J. R., Ollero, A. (2005). Cooperative fire detection using UAVs. Robotics and Autonomous Systems. doi: 10.1109/ROBOT.2005.1570388
  2. Restas, A. (2015). Drone applications in disaster management. Natural Hazards. doi: 10.4236/wjet.2015.33c047
  3. Merino, L., Caballero, F., Martínez-de-Dios, J. R., Ollero, A. (2012). An unmanned aircraft system for automatic forest fire monitoring and measurement. Journal of Intelligent & Robotic Systems, 533–548. doi: 10.1007/s10846-011-9560-x
  4. Yuan, C., Zhang, Y. (2017). UAV-based forest fire detection and tracking. ISPRS Journal. doi: 10.1109/ICUAS.2015.7152345
  5. Mosov, S. P., Stankevych, S. A., Chumachenko, S. M. (2017). Obgruntuvannia vymoh do tekhnichnykh kharakterystyk zasobiv vedennia rozvidky pozhezh iz zastosuvanniam bezpilotnykh litalnykh aparativ. Naukovyi visnyk: Tsyvilnyi zakhyst ta pozhezhna bezpeka, 1(3), 57–65.
  6. Mosov, S. P. (2020). Era bezpilotnoi aviatsii v sferi tsyvilnoho zakhystu. Pozhezhna ta tekhnohenna bezpeka, 11(86), 14–16.
  7. Merz, B. (2020). Impact forecasting to support emergency management of natural hazards. Reviews of Geophysics, 1–52. doi: 10.1029/2020RG000704
  8. Kolomiytsev, O. V., Rudakov, I. S., Dmitriyev, O. M., Kibalʹnyk, V. M., Slobo-denyuk, YU. V., Solovyov, A. A., Palʹchykov, V. V., Dzyuba, I. V., Zhuykov, V. V., Chekunov, V. V., Fesenko, K. V. (2025). Udoskonalenyi metod planuvannia traiektorii polotu BPLA. Hraal nauky, 56, 382–397. doi: 10.36074/grail-of-science.19.09.2025.044
  9. Kolomiytsev, O. V., Rudakov, I. S., Dmitriyev, O. M. (2025). Metodolohiia doslidzhennia bezpeky polotiv hrup BPLA. Hraal nauky, 60, 602–614. doi: 10.36074/grail-of-science.26.12.2025.06
  10. Rudakov, S. V., Popov, D. O., Kuleba, O. M. (2025). Modeliuvannia polotiv bezpilotnykh aviatsiinykh system pid chas analizu mistsia pozhezh. Problems of Emergency Situations, 127–128.
  11. Kvietnyi, R. N., Bohach, I. V., Boiko, O. R., Sofina, O. Yu., Shushura, O. M. Kompiuterne modeliuvannia system i protsesiv. Metody obrobky. Chastyna 2. URL: https://web.posibnyky.vntu.edu.ua/fksa/2kvetnyj_komp%27yuterne_modelyuvannya_system_procesiv/t2/zm2..htm

 

Received by the editorial board: 10.03.2026

Accepted for publication: 13.04.2026

Date of publication (release): 31.05.2026