Academic Journal of Computing & Information Science, 2022, 5(9); doi: 10.25236/AJCIS.2022.050905.
Yu Liu1, Fangyunhao Long2, Changyu Dong3, Yunjie Zhang4, Xiangya Qiu5, Jincheng Zhu6
1Department of Economics and Management, Tianjin University of Science and Technology, Tianjin, China
2Department of Mechanical Engineering, Tianjin University of Science and Technology, Tianjin, China
3Department of Artificial Intelligence, Tianjin University of Science and Technology, Tianjin, China
4Department of Humanities and Law, Tianjin University of Science and Technology, Tianjin, China
5Department of Chemicals and Materials, Tianjin University of Science and Technology, Tianjin, China
6Department of Light Industry Science and Engineering, Tianjin University of Science and Technology, Tianjin, China
The forest fire in 2019-2020 has brought devastating damage to every state in Australia, causing many casualties and huge property losses, among which the impact on New South Wales and eastern Victoria is the largest. We design a monitoring and early warning system from the perspective of emergency capacity, safety and economy, combined with the use of the model and terrain restrictions, in order to deal with the possible future forest fires. A "hierarchical structure model" is established to study the optimal combination scheme. Based on it, the penalty function is used to construct the auxiliary function, and the original constrained problem is transformed into the minimum auxiliary unconstrained problem. According to the topographic map and fire distribution map of Victoria, how to optimize the monitoring and early warning system is calculated under the condition that full coverage error can not be achieved.
Analytic hierarchy process; Forest fire fighting model; Poisson distribution; Linear optimization
Yu Liu, Fangyunhao Long, Changyu Dong, Yunjie Zhang, Xiangya Qiu, Jincheng Zhu. A new optimization model based on minimum risk and cost - UAV monitoring and early warning system. Academic Journal of Computing & Information Science (2022), Vol. 5, Issue 9: 28-33. https://doi.org/10.25236/AJCIS.2022.050905.
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