基于多智能体算法的CA林火空间扩散模型

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

针对林火蔓延多相和多组分的性质,提出一种基于多智能体算法的CA林火空间扩散模型。采用基于王正非的CA模型对林火蔓延趋势进行近似模拟。在CA确定的元胞状态转换规则的基础上,结合多智能体算法的自学习及变异的方法,使得实测林火格局与CA规则驱动的演进模式最为接近,实现自动优化CA规则,使得CA蔓延模型的精度提高。通过仿真结果,对比分析传统的Rothermel模型与本文提出的方法,可知在火场面积和火场周长方面,实际林火蔓延过程与本文提出的林火空间扩散模型的实验仿真结果具有较高的相似性。

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.