Generalized Net Model of Forest Zone Monitoring by UAVs

Krassimir T. Atanassov, Peter Vassilev, Vassia Atanassova, Olympia Roeva, Rosen Iliev, Dafina Zoteva, Veselina Bureva, Deyan Mavrov and Alexander Alexandrov
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Krassimir T. Atanassov: Department of Bioinformatics and Mathematical Modelling, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Acad. Georgi Bonchev Str., Bl. 105, 1113 Sofia, Bulgaria
Peter Vassilev: Department of Bioinformatics and Mathematical Modelling, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Acad. Georgi Bonchev Str., Bl. 105, 1113 Sofia, Bulgaria
Vassia Atanassova: Department of Bioinformatics and Mathematical Modelling, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Acad. Georgi Bonchev Str., Bl. 105, 1113 Sofia, Bulgaria
Olympia Roeva: Department of Bioinformatics and Mathematical Modelling, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Acad. Georgi Bonchev Str., Bl. 105, 1113 Sofia, Bulgaria
Rosen Iliev: Bulgarian Defence Institute, 2 Professor Tzvetan Lazarov Blvd., 1592 Sofia, Bulgaria
Dafina Zoteva: Faculty of Mathematics and Informatics, Sofia University “St. Kliment Ohridski”, 5 James Bourchier Blvd., 1164 Sofia, Bulgaria
Veselina Bureva: Intelligent Systems Laboratory, “Prof. Dr. Assen Zlatarov” University, 1 “Prof. Yakim Yakimov” Blvd., 8010 Burgas, Bulgaria
Deyan Mavrov: Intelligent Systems Laboratory, “Prof. Dr. Assen Zlatarov” University, 1 “Prof. Yakim Yakimov” Blvd., 8010 Burgas, Bulgaria
Alexander Alexandrov: Department of Agricultural and Forestry Sciences, Forest Research Institute, Bulgarian Academy of Sciences, 132 Kliment Ohridski Blvd., 1756 Sofia, Bulgaria

Mathematics, 2021, vol. 9, issue 22, 1-10

Abstract: The paper presents a generalized net (GN) model of the process of terrain observation with the help of unmanned aerial vehicles (UAVs) for the prevention and rapid detection of wildfires. Using a GN, the process of monitoring a zone (through a UAV, which is further called a reconnaissance drone) and the localization of forest fires is described. For a more indepth study of the terrain, the reconnaissance drone needs to coordinate with a second UAV, called a specialized drone, so that video and sensory information is provided to the supervising fire command operational center. The proposed GN model was developed to assist in the decision-making process related to the coordination of the operation of both UAVs under dynamically changing terrain circumstances, such as those related to preventing or quickly containing wildfires. It describes the stages (transitions), logical determinants (transition predicate matrices), and directions of information flow (token characteristics) within the process of localization of fires using the pair of reconnaissance and specialized drones.

Keywords: drone; unmanned aerial vehicle; unmanned aerial system; wildfire; forest fire; fire detection; fire prevention; generalized nets; mathematical modelling (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
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