Abstract
Wildfire is a kind of fire that occurs in the natural ecosystem, which will affect a series of processes such as ecosystem succession, carbon cycle and natural climate change. In recent years, wildfires continue to occur around the world, and the losses caused by wildfires are increasing. In this paper, we will take New South Wales and East Victoria in Australia as the research object, establish the corresponding model, and give the best UAV combination method to solve the wildfire extinguishing action. We use the UAV scheduling algorithm to establish a mathematical model about UAV combination, and then consider the threat factors such as mountain terrain synthetically, and further simplify the model. Also, we use data visualization to show the relevant information more concretely.
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References
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Acknowledgements
This research was supported in part by the Project of National Natural Science Foundation of China under Grant 61672006, the Key Project of Natural Science Research in Anhui under Grants KJ2017A340, KJ2019A0533 and KJ2019A0535, the Quality Engineering Project in Anhui under Grant 2018JYXM0507, 2020jyxm1384, and 2020xsxxkc327, the innovation team from Fuyang Normal University under Grants XDHXTD201703 and XDHXTD201709, the Natural Science Research Key Project of Fuyang Normal University under Grant 2019FSKJ06ZD, and the Fuyang Normal University Young Talents Key Project under Grant rcxm202004. And we would like to thank the reviewers for their beneficial comments and suggestions, which improves the paper.
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Yu, Q., He, H., Li, M., Hou, D., Zhang, J., Wang, X. (2022). Research on UAV Scheduling Optimization in the Forest Fire. In: Macintyre, J., Zhao, J., Ma, X. (eds) The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIoT 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 98 . Springer, Cham. https://doi.org/10.1007/978-3-030-89511-2_102
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DOI: https://doi.org/10.1007/978-3-030-89511-2_102
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