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25 May 2023 Pool fire rendering method based on improved particle system with collision detection algorithm
Mo Su, Xiangkun Guo, Shu Li, Meng Liu, Chang Liu
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Proceedings Volume 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022); 126360P (2023) https://doi.org/10.1117/12.2675287
Event: Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 2022, Shenyang, China
Abstract
In order to solve the problem that pool fire simulation is difficult to achieve real-time and realistic performance, in this paper, a pool fire rendering method based on improved particle system with collision detection algorithm is proposed. Firstly, mathematical model of pool fire is analysed, on this basis, the improved particle system model is established taking outside factors (such as wind speed, etc.) into consideration, and then via pool fire collision detection model based on adaptive binary tree, this paper uses partition algorithm based on adaptive binary tree to optimize the speed of burning liquid collision detection, this plays a crucial role for the quality and efficiency of subsequent rendering, thus realizes the pool fire rendering process optimization. Experimental results show that this method is simple to implement and the display effect of pool fire rendering is more real.
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Mo Su, Xiangkun Guo, Shu Li, Meng Liu, and Chang Liu "Pool fire rendering method based on improved particle system with collision detection algorithm", Proc. SPIE 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 126360P (25 May 2023); https://doi.org/10.1117/12.2675287
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KEYWORDS
Fire
Particles
Particle systems
Liquids
Flame
Mathematical modeling
Optical spheres
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