Establishment of Wildfire Monitor-Repeater-EOC System Based on TOPSIS and Genetic Algorithm
Authors
Lei Wang1, *, Yue Deng1, Yuting Mei1
1College of Information Sciences and Technology, Beijing University of Chemical Technology
*Corresponding author. Email: wanglei1104@163.com
Corresponding Author
Lei Wang
Available Online 26 March 2022.
- DOI
- 10.2991/aebmr.k.220307.014How to use a DOI?
- Keywords
- Fire prediction; TOPSIS; Genetic Algorithm
- Abstract
To get the frequency and magnitude of forest fires in Victoria, the Forest Fire Danger Index (FFDI) is used to characterize some parameters of fires. First, an FFDI calculation model is established based on meteorological data. For the necessary parameter drought factor DF, we used the TOPSIS method to estimate and finally calculated the FFDI value of weather stations in Victoria. Based on the FFDI, we established a single-stream hierarchical facility location model based on genetic algorithm distance constraints. Finally, we got the distribution of fire-prone points and the distribution of monitor-repeater-EOC.
- Copyright
- © 2022 The Authors. Published by Atlantis Press International B.V.
- Open Access
- This is an open access article under the CC BY-NC license.
Cite this article
TY - CONF AU - Lei Wang AU - Yue Deng AU - Yuting Mei PY - 2022 DA - 2022/03/26 TI - Establishment of Wildfire Monitor-Repeater-EOC System Based on TOPSIS and Genetic Algorithm BT - Proceedings of the 2022 7th International Conference on Financial Innovation and Economic Development (ICFIED 2022) PB - Atlantis Press SP - 88 EP - 92 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.220307.014 DO - 10.2991/aebmr.k.220307.014 ID - Wang2022 ER -