REVOLUTIONIZING FIREFIGHTING TRAINING WITH DIGITAL TWINS: REAL-TIME FIRE SPREAD SIMULATION AND ESCAPE ROUTE OPTIMIZATION

The advancement of digital twin (DT) systems had revolutionized various industrial and safety applications, offering virtual replicas of physical processes for improved monitoring and training. Fire scenarios are highly dynamic, with conditions changing rapidly due to factors like wind direction, material flammability, and structural integrity. This study explored the application of a smart fire scene DT system (SFSDTS) for firefighting training and safety management. The novelty and contributions of this study was the proposed SFSDTS integrated machine learning models to predict fire spreading paths and estimate escape routes in real-time, providing an immersive and interactive training environment for firefighters.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-02
DOI
https://doi.org/10.5281/zenodo.13908427
Primary Topic
S100 Proteins and Annexins
Type
article
Field-Weighted Citation Impact
0.00
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article

REVOLUTIONIZING FIREFIGHTING TRAINING WITH DIGITAL TWINS: REAL-TIME FIRE SPREAD SIMULATION AND ESCAPE ROUTE OPTIMIZATION

Zenodo (CERN European Organization for Nuclear Research)
S100 Proteins and Annexins
article

REVOLUTIONIZING FIREFIGHTING TRAINING WITH DIGITAL TWINS: REAL-TIME FIRE SPREAD SIMULATION AND ESCAPE ROUTE OPTIMIZATION

article en

Abstract

The advancement of digital twin (DT) systems had revolutionized various industrial and safety applications, offering virtual replicas of physical processes for improved monitoring and training. Fire scenarios are highly dynamic, with conditions changing rapidly due to factors like wind direction, material flammability, and structural integrity. This study explored the application of a smart fire scene DT system (SFSDTS) for firefighting training and safety management. The novelty and contributions of this study was the proposed SFSDTS integrated machine learning models to predict fire spreading paths and estimate escape routes in real-time, providing an immersive and interactive training environment for firefighters.

Zenodo (CERN European Organization for Nuclear Research)
University of Nottingham Ningbo China (CN), Xiamen University (CN)
Affordable and clean energy
Openalex Percentile: Top 63%
S100 Proteins and Annexins
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