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Research on Fire extinguishing Model Construction of UAV based on ACA Model

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DOI: 10.23977/erej.2021.050109 | Downloads: 1 | Views: 68

Author(s)

Yu Bai 1, Ziqing Song 1

Affiliation(s)

1 College of Mechanical Engineering, Tianjin University of Science and Technology, Tianjin, 300222

Corresponding Author

Yu Bai

ABSTRACT

Australia suffers from fires all the year round, especially in the eastern part of Victoria in the past two years, causing huge casualties, property losses, and environmental damage. In the face of this situation, the equipment of drones is particularly important. Our team has used some official data to give opinions on the combination of drones taking into account the possibility of future fires and the impact of terrain. The process is roughly OK. Divided into the following three stages. The paper first analyzed the fire data of Victoria, established the ACA optimization model in the eastern region where the fire was the most serious, and obtained the shortest path traversing all the heavy fire areas. Th paper calculate the scan radius. After obtaining the area of the hardest-hit area and the drone scanning area, through the differential equation, th paper believe that 10 Radio Repeater drones and 28 SSA drones are needed. At this time, the coverage rate reached 79.154%, and a road map was made.

KEYWORDS

ACA, SARIMA, Fire, The shortest path

CITE THIS PAPER

Yu Bai, Ziqing Song, Research on Fire extinguishing Model Construction of UAV based on ACA Model. Environment, Resource and Ecology Journal (2021) 5: 56-61. DOI: http://dx.doi.org/10.23977/erej.2021.050109

REFERENCES

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[2] XIAO Qian. Research on UAV Scheduling Algorithm and Design of Control Platform [R]. China: Shandong University of Science and Technology, 2018. 
[3] Jones, D., W. Wang, and R. Fawcett (2009): High-quality spatial climate datasets for Australia. Aust. Meteorol. Mag., 58, 233-248. 
[4] Keetch, J. J., and G. M. Byram (1968): A drought index for forest fire control. Res. Pap. SE38. Asheville, NC: US Department of Agriculture, Forest Service, Southeastern Forest Experiment Station. 
[5] Kalnay, E., and Coauthors (1996): The NCEP/NCAR 40-year reanalysis project. Bulletin of the American Meteorological Society, 77(3), 437-471.

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