Algorithm for monitoring the dynamic zone of forest fires by a group of unmanned aircraft
https://doi.org/10.21822/2073-6185-2023-50-1-140-151
Abstract
Objective. The aim of the study is to develop an algorithm for monitoring forest fire zones, carried out by unmanned aerial vehicles (UAVs).
Method. The study is based on methods of algorithmic support, methods of analysis and synthesis of automated control systems for technological objects.
Result. The technologies and methods for monitoring forest fires are considered, which confirms the relevance of the use of UAVs to perform these tasks. An algorithm for the use of UAV swarms for monitoring forest fire zones is presented. The algorithm includes enlarged stages of decomposition of the global problem, distribution of tasks, application of methods of collective decision-making, etc.
Conclusion. The proposed algorithm can be implemented subject to the development of swarm control theory.
About the Authors
F. B. Tebueva
North-Caucasus Federal University
Russian Federation
Russian Federation
Fariza B. Tebueva, Dr. Sci.( Physics and Mathematics ), Assoc. Prof., Head of the Department of Computer
Security
1 Pushkina Str., Stavropol 355017
V. O. Antonov
North-Caucasus Federal University
Russian Federation
Russian Federation
Vladimir O. Antonov, Cand. Sci. (Eng.), Assoc. Prof., Department of Computer Security
1 Pushkina Str., Stavropol 355017
M. Yu. Kabinyakov
North-Caucasus Federal University
Russian Federation
Russian Federation
Mikhail Yu. Kabinyakov, Applicant
1 Pushkina Str., Stavropol 355017
N. Yu. Svistunov
North-Caucasus Federal University
Russian Federation
Russian Federation
Nikolay Yu. Svistunov, Assistant of the Department of Computer Security of the Institute of Digital Development
1 Pushkina Str., Stavropol 355017
References
1. Laszlo B., Agoston R., Xu Q. Conceptual Approach of Measuring the Professional and Economic Effectiveness of Drone Applications Supporting Forest fire Management // Procedia Eng. Elsevier Ltd, 2018. Vol. 211. P. 8-17.
2. Map of fires - ScanEx [Electronic resource]. URL: http://www.scanex.ru/cloud/karta-pozharov/ (date of access: 14.08.2020).
3. Monitoring of the emergency zone - Unmanned systems [Electronic resource]. URL: https://unmannedsystems.ru/examples/monitoring-zony-chs/ (date accessed: 14.08.2020).
4. V.V. Tatarinov, A.N. Kalaydov, E. Muikich. The use of unmanned aerial vehicles for obtaining information about wildfires. Internet journal "Technosphere Safety Technologies" 2017; 1 (71) [In Russ]
5. Medical unit of the Russian Federation / Main / Main administration / Forces and means / Federal forces and means.Unmanned aviation [Electronic resource]. URL: https://29.mchs.gov.ru/glavnoe-upravlenie/silyi-sredstva/federalnye-sily-i-sredstva/bespilotnaya-aviaciya (date accessed: 14.08.2020). [In Russ]
6. DJI - The World Leader in Camera Drones / Quadcopters for Aerial Photography [Electronic resource]. URL: https://www.dji.com/ (date of access: 14.08.2020).
7. Unmanned systems - “Unmanned Systems LLC” was established as a specialized subdivision of the Tradition Group of Companies engaged in the design and manufacture of unmanned aerial systems, UAV payload hardware and safety monitoring and control systems. [Electronic resource]. URL: https://unmannedsystems.ru/ (date of access: 14.08.2020). [In Russ]
8. Walkera official website - Walkera – Intelligence makes it possible [Electronic resource]. URL: https://www.walkera.com/ (date accessed: 14.08.2020).
9. XDynamics - Drone & UAV Maker in Hong Kong [Electronic resource]. URL: https://www.xdynamics.com/ (date accessed: 14.08.2020).
10. Aerones - Home [Electronic resource]. URL: https://www.aerones.com/ (date accessed: 14.08.2020).
11. Intel Data Center Solutions, IoT, and PC Innovation [Electronic resource]. URL: https://www.intel.com/content/www/us/en/homepage.html (date accessed: 14.08.2020).
12. Cyberhawk [Electronic resource]. URL: https://thecyberhawk.com/ (date accessed: 14.08.2020).
13. Aerodyne [Electronic resource]. URL: https://aerodyne.group/en/ (date of access: 14.08.2020).
14. TOP - Terra Drone Global UAV company [Electronic resource]. URL: https://www.terra-drone.net/global/ (date accessed: 14.08.2020).
15. STILSOFT [Electronic resource]. URL: https://stilsoft.ru/ (date of access: 14.08.2020). [In Russ]
16. Home - Martek Aviation [Electronic resource]. URL: https://www.martekuas.com/ (date accessed: 14.08.2020).
17. Commercial Drone 3D Mapping Software & Analytics Identified Technologies [Electronic resource]. URL: https://www.identifiedtech.com/ (date accessed: 14.08.2020).
18. Autonomous drone european leader - Home - Azur Drones [Electronic resource]. URL: https://www.azurdrones.com/ (date accessed: 14.08.2020).
19. Australian UAV Drone Aerial Mapping, Survey and Inspection [Electronic resource]. URL: https://www.auav.com.au/ (date accessed: 14.08.2020).
20. Drone Companies - Canada - UAV Services The Sky Guys [Electronic resource]. URL: https://theskyguys.ca/ (date accessed: 14.08.2020).
21. GIS technologies: integration of geographic information systems - Sovzond [Electronic resource]. URL: https://sovzond.ru/ (date of access: 14.08.2020). [In Russ]
22. GC Geoscan Unmanned technologies for professionals Geoscan is a manufacturer of unmanned aerial vehicles in Russia [Electronic resource]. URL: https://www.geoscan.aero/ru (date accessed: 14.08.2020). [In Russ]
23. Unmanned aerial vehicles - Aviation - EMERCOM of Russia [Electronic resource]. URL: https://www.mchs.gov.ru/ministerstvo/ uchrezhdeniya-mchs-rossii/ spasatelnye-podrazdeleniya/ aviaciya/ bespilotniki (date accessed: 14.08.2020). [In Russ]
24. Monitoring the emergency zone - Unmanned systems [Electronic resource]. URL: https://unmannedsystems.ru/examples/monitoring-zony-chs/ (date accessed: 14.08.2020). [In Russ]
25. Development of an integrated remote monitoring system [Electronic resource]. URL: https://www.rosrid.ru/nioktr/Zl7mekgxbc5ehgl6zlxxdjbt (date accessed: 14.08.2020). [In Russ]
26. Development of a methodology for operational monitoring of natural emergencies using unmanned aircraft systems for information support of operational headquarters to extinguish large forest fires [Electronic resource]. URL: https://www.rosrid.ru/nioktr/rwrjdva9jcs5hw8ljnimswdd (date accessed: 14.08.2020). [In Russ]
27. Physical and mathematical modeling of the occurrence of natural fires. - Tomsk: Publishing House of Tomsk State University, 2014; 276. [In Russ]
28. Chrobocinski P. et al. DARIUS project: Deployable SAR integrated chain with unmanned systems. 2012 International Conference on Telecommunications and Multimedia, TEMU 2012. 2012; 220–226.
29. Modeling crisis management for improved action and preparedness [Electronic resource]. URL: https://pdfslide.net/documents/modelling-crisis-management-for-improved-action-and-preparedness.html (date accessed: 14.08.2020).
30. AIRBEAM - AIRborne information for Emergency Awareness and Monitoring | Indra [Electronic resource]. URL: https://www.indracompany.com/en/indra/airbeam-airborne-information-emergencysituation-awareness-monitoring (date accessed: 14.08.2020).
31. Alamouri A. et al. The joint research project ankommen-exploration using automated uav and ugv. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. International Society for Photogrammetry and Remote Sensing, 2019; 42 (2)13: 165-172.
32. WAAS - the global system of differential corrections. EGNOS system in Russia. [Electronic resource]. URL: http://www.gps-profi.ru/waas-gpsportal.php (date accessed: 14.08.2020). [In Russ]
33. Chrobocinski P. et al. DARIUS project: Deployable SAR integrated chain with unmanned systems. 2012 International Conference on Telecommunications and Multimedia, TEMU 2012. 2012; 220–226.
34. Modeling crisis management for improved action and preparedness [Electronic resource]. URL: https://pdfslide.net/documents/modelling-crisis-management-for-improved-action-and-preparedness.html (date accessed: 14.08.2020).
35. AIRBEAM - AIRborne information for Emergency Awareness and Monitoring | Indra [Electronic resource]. URL: https://www.indracompany.com/en/indra/airbeam-airborne-information-emergencysituation-awareness-monitoring (date accessed: 14.08.2020).
36. Alamouri A. et al. The joint research project ankommen-exploration using automated uav and ugv. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. International Society for Photogrammetry and Remote Sensing, 2019;42( 2) / W13: 165-172.
37. Gowravaram S. et al. Prescribed fire monitoring using KHawk unmanned aircraft systems: Initial flight test results. AIAA Information Systems-AIAA Infotech at Aerospace, 2018. American Institute of Aeronautics and Astronautics Inc, AIAA, 2018; 209989.
38. Brown A.S., Shevkunov M.A. Approach to the construction of decision support systems for the control of unmanned aerial vehicles. TDR. 2015. No. 6. URL: https://cyberleninka.ru/article/n/podhod-k-postroeniyusistem-podderzhki-prinyatiya-resheniy-pri-upravlenii-bespilotnymi-letatelnymi-apparatami (date of access: 16.03.2021).
39. Wang C. et al. The Adaptive Vortex Search Algorithm of Optimal Path Planning for Forest Fire Rescue UAV. Proceedings of 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2018. Institute of Electrical and Electronics Engineers Inc., 2018;400–403 .
40. Fang Y., Deng Y., Zhou Z. Formulation and solution of an emergency routing problem for forest fire with priority areas. Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019. Institute of Electrical and Electronics Engineers Inc., 2019.
41. Decree of the President of the Russian Federation of 01.12.2016 N 642 "On the Strategy of Scientific and Technological Development of the Russian Federation" .ConsultantPlus [Electronic resource]. URL: http://www.consultant.ru/document/cons_doc_LAW_207967/ (date accessed: 14.08.2020).
42. Regulatory road maps [Electronic resource]. URL: https://nti2035.ru/documents/Normative_road_maps/ (date accessed: 14.08.2020). [In Russ]
Review
For citations:
Tebueva F.B., Antonov V.O., Kabinyakov M.Yu., Svistunov N.Yu. Algorithm for monitoring the dynamic zone of forest fires by a group of unmanned aircraft. Herald of Dagestan State Technical University. Technical Sciences. 2023;50(1):140-151. (In Russ.) https://doi.org/10.21822/2073-6185-2023-50-1-140-151
Views:
297
Email this article 
