Research on UAV scheduling problem in fire
DOI: 10.23977/geors.2021.040103 | Downloads: 4 | Views: 490
Jiaxin Kong 1
1 School of Finance, Inner Mongolia University of Finance and economics, Hohhot city, Inner Mongolia Autonomous Region
Corresponding AuthorJiaxin Kong
Drones have been very important in the Australian forest fire’s rescue activity. As one of the most severely affected areas the fire, Victoria deservedly has more demands for drones with different functions. Considering the risk, terrain, observation and communication mission requirements and other factors, we first establish a cost model. Then, the minimum spanning tree algorithm is combined with the three-dimensional spatial data of longitude, latitude and altitude of all five points at a certain time in 2019 to get the shortest path. Finally, the optimal number of SSA UAVs and radio relay UAVs is determined.
KEYWORDSDrone scheduling, Optimal quantity, Combination, Cost mode
CITE THIS PAPER
Jiaxin Kong. Research on UAV scheduling problem in fire. Geoscience and Remote Sensing (2021) Vol. 4: 21-24. DOI: http://dx.doi.org/10.23977/geors.2021.040103
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