Forestry Fire Spatial Diffusion Model Based on Multi-Agent Algorithm with Cellular Automata

Authors

Guoxiong Zhou, School of Computer and Information Engineering, Central South University of Forestry & Technology, Changsha 410004, China;
Wu Qi, School of Computer and Information Engineering, Central South University of Forestry & Technology, Changsha 410004, China;
Aibin Chen, School of Computer and Information Engineering, Central South University of Forestry & Technology, Changsha 410004, China;

Abstract

Abstract: In view that forestry fire has the nature of multi-phase and multi-component, a forestry fire spatial diffusion model based on multi-agent algorithm with cellular automata is proposed. A method based on Wang Zhengfei-CA model is employed to approximately simulate the spread of forestry fire. On the basis of the status transition rule determined by CA and using the self-learning and variation methods of multi-agent algorithm, the measured forestry fire pattern is most similar to CA rule-driven evolution model and the CA rule can be automatically optimized. By comparatively analyzing the simulation results of the traditional Rothermel model and the method proposed in this paper, it is found that in the respects of fire area and fire perimeter, the actual forestry fire spread process has higher similarity to the simulation results of the proposed forestry fire spatial diffusion model.

Recommended Citation

Zhou, Guoxiong; Qi, Wu; and Chen, Aibin (2019) "Forestry Fire Spatial Diffusion Model Based on Multi-Agent Algorithm with Cellular Automata," Journal of System Simulation: Vol. 30: Iss. 3, Article 7.
DOI: 10.16182/j.issn1004731x.joss.201803007
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss3/7

First Page

824

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201803007

Last Page

831

CLC

TP273

Recommended Citation

Zhou Guoxiong, Wu Qi, Chen Aibin. Forestry Fire Spatial Diffusion Model Based on Multi-Agent Algorithm with Cellular Automata[J]. Journal of System Simulation, 2018, 30(3): 824-831.

Corresponding Author

Aibin Chen,

DOI

10.16182/j.issn1004731x.joss.201803007