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UAV hill fire prevention system based on machine learning

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DOI: 10.23977/iset2021.021

Author(s)

Xuwen Li, Yunuo Bian

Corresponding Author

Xuwen Li

ABSTRACT

Wildfires have displaced many residents and animals. If wildfires occur again in the future and are not prevented and controlled quickly and effectively, the consequences will not only be economic losses, but also the reduction of biodiversity and the destruction of ecological balance, which will be an irreparable loss for all mankind. The Victorian National Fire Service dispatched frontline firefighters, SSA drones and radio relay drones to complete monitoring and fire fighting tasks, so our team of consultants was hired to plan the combination of the two drones in the face of following situations. To solve the problem of the optimal number and combination of SSA UAVs and radio relay UAVs, we first divide the missions into two types: observation and communication. For the existing UAV types, we design a UAV resource scheduling plan based on different types of tasks in a specific region, and provide UAV scheduling schemes for two different types of missions under the constraints of satisfying observational and communications mission needs, capability and safety, mission area geographic conditions, and maximizing economy.

KEYWORDS

Drone, hill fire, SSA, detection

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