Research on building fire visualization based on virtual reality

With the rapid development of virtual reality technology, fire training systems based on virtual reality have gained widespread adoption. To create more realistic and scientifically accurate fire scenarios that provide users with an immersive experience, a visualization method for fire and smoke has been proposed based on grid data derived from fire numerical simulation software. Addressing the challenge posed by the substantial amount of grid data in large-scale fire scenes, a base state with amendment model is employed to enhance the efficiency of data update. Ultimately, an indoor fire scene is reconstructed using the proposed method. Compared with dedicated visualization software, the results demonstrate a high degree of consistency and the base state with amendment model effectively improves the rendering efficiency. Providing a feasible method for developing a virtual reality fire training system、rendering real and scientific fire scenes and evaluating experimental data.

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Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1145/3727993.3728086
Primary Topic
Simulation and Modeling Applications
Type
article
Field-Weighted Citation Impact
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article

Research on building fire visualization based on virtual reality

Feiyang Huang, Peizhong Yang
Simulation and Modeling Applications
article

Research on building fire visualization based on virtual reality

Feiyang Huang, Peizhong Yang
article en

Abstract

With the rapid development of virtual reality technology, fire training systems based on virtual reality have gained widespread adoption. To create more realistic and scientifically accurate fire scenarios that provide users with an immersive experience, a visualization method for fire and smoke has been proposed based on grid data derived from fire numerical simulation software. Addressing the challenge posed by the substantial amount of grid data in large-scale fire scenes, a base state with amendment model is employed to enhance the efficiency of data update. Ultimately, an indoor fire scene is reconstructed using the proposed method. Compared with dedicated visualization software, the results demonstrate a high degree of consistency and the base state with amendment model effectively improves the rendering efficiency. Providing a feasible method for developing a virtual reality fire training system、rendering real and scientific fire scenes and evaluating experimental data.

Shanghai Jiao Tong University (CN)
Sustainable cities and communities
Openalex Percentile: Top 62%
Simulation and Modeling Applications
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