E3S Web Conf.
Volume 299, 20214th Annual International Conference on Energy Development and Environmental Protection (EDEP 2021)
|Number of page(s)||8|
|Section||Environmental Science and Engineering|
|Published online||05 August 2021|
A Hybrid Fire Warning Model Based on Cellular Automata
Southwest Branch of State Grid Corporation of China, Chengdu, Sichuan Province, China.
* Corresponding author: email@example.com
The rapid development of cities and the increasing complexity of its internal structure have led to pressing fire security problems, which calls for an effective and accurate comprehensive fire warning model. Most existing fire warning models predict only for a single fire scenario and can hardly balance the speed and accuracy in their predictions, which are not suitable for large-scale scenarios with complex structures. This paper proposes a fire warning model that includes both forest and building area based on Cellular Automata. Experimental areas were established to simulate fire warning according to the proposed hybrid model. The experimental results have shown that the model can quickly and accurately simulate the fire spread process and provide effective support for emergency decision-making in complex scenarios.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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