Simulation Model of Forest Fire Spread Based on Swarm Intelligence

Authors

Aibin Chen, 1.School of Computer and Information Engineering, Central South University of Forestry & Technology, Changsha 410004, China;Follow
Fubo Ding, 1.School of Computer and Information Engineering, Central South University of Forestry & Technology, Changsha 410004, China;Follow
Guoxiong Zhou, 1.School of Computer and Information Engineering, Central South University of Forestry & Technology, Changsha 410004, China;
Bo Zhou, 2.Hunan Linkeda Information Technology Co. , Ltd, Changsha 410000, China;

Abstract

Abstract: Aiming at the shortcomings of high computational complexity and low simulation accuracy of traditional forest fire spread model, a forest fire spread simulation model based on swarm intelligence is proposed.By establishing fuel factor matrix and landform factor matrix, and combining with the real-time meteorological information, the computational complexity is reduced; the spread behavior of the forest fire is abstracted as the cluster behavior of each module fire point, and the correlation between modules is considered to improve the accuracy of forest fire spread simulation model.The model is compared with Wang Zhengfei model and two-dimensional cellular automata model. The results show that the model has high accuracy and can simulate the trend of the forest fire spread more accurately.

Recommended Citation

Chen, Aibin; Ding, Fubo; Zhou, Guoxiong; and Zhou, Bo (2022) "Simulation Model of Forest Fire Spread Based on Swarm Intelligence," Journal of System Simulation: Vol. 34: Iss. 7, Article 6.
DOI: 10.16182/j.issn1004731x.joss.21-0171
Available at: https://dc-china-simulation.researchcommons.org/journal/vol34/iss7/6

First Page

1439

Revised Date

2021-05-27

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.21-0171

Last Page

1448

CLC

TP391

Recommended Citation

Aibin Chen, Fubo Ding, Guoxiong Zhou, Bo Zhou. Simulation Model of Forest Fire Spread Based on Swarm Intelligence[J]. Journal of System Simulation, 2022, 34(7): 1439-1448.

Corresponding Author

Fubo Ding,1101623201@qq.com

DOI

10.16182/j.issn1004731x.joss.21-0171