A review of critical fire event library for buildings and safety framework for smart firefighting

AA Khan, MA Khan, K Leung, X Huang, M Luo… - International Journal of …, 2022 - Elsevier
While occupants are evacuating from the fire scene, firefighters are entering life-threatening
environments, exposed to hot and toxic fire smoke and risks of structural failures or …

[HTML][HTML] Machine Learning to speed up Computational Fluid Dynamics engineering simulations for built environments: A review

C Caron, P Lauret, A Bastide - Building and Environment, 2024 - Elsevier
Computational fluid dynamics (CFD) represents a valuable tool in the design process of built
environments, enhancing the comfort, health, energy efficiency, and safety of indoor and …

Real-time forecast of compartment fire and flashover based on deep learning

T Zhang, Z Wang, HY Wong, WC Tam, X Huang… - Fire Safety Journal, 2022 - Elsevier
Forecasting building fire development and critical fire events in real-time is of great
significance for firefighting and rescue operations. This work proposes an artificial …

Predicting transient building fire based on external smoke images and deep learning

Z Wang, T Zhang, X Wu, X Huang - Journal of Building Engineering, 2022 - Elsevier
A real-time evaluation of fire severity inside a building could facilitate decision-making in
firefighting and rescue operations. This work explores the real-time prediction of transient …

Building artificial-intelligence digital fire (AID-Fire) system: a real-scale demonstration

T Zhang, Z Wang, Y Zeng, X Wu, X Huang… - Journal of Building …, 2022 - Elsevier
The identification of building fire evolution in real-time is of great significance for firefighting,
evacuation, and rescue. This work proposed a novel framework of Artificial-Intelligence …

Predicting real-time fire heat release rate by flame images and deep learning

Z Wang, T Zhang, X Huang - Proceedings of the Combustion Institute, 2023 - Elsevier
The heat release rate (HRR) is the most critical parameter in characterizing the fire behavior
and thermal effects of a burning item. However, traditional fire calorimetry methods are not …

Design a safe firefighting time (SFT) for major fire disaster emergency response

Y Zhang, X Zhang, X Huang - International Journal of Disaster Risk …, 2023 - Elsevier
A major fire disaster is hazardous to both occupants trapped in the built environment and
firefighters during the firefighting operation. Though various construction codes …

Automatic real-time fire distance, size and power measurement driven by stereo camera and deep learning

Z Wang, Y Ding, T Zhang, X Huang - Fire Safety Journal, 2023 - Elsevier
Automatic real-time fire characterization is a crucial requirement of future smart firefighting.
This work proposes a novel computer vision method to automatically measure the fire heat …

Machine learning driven smart fire safety design of false ceiling and emergency response

AA Khan, T Zhang, X Huang, A Usmani - Process Safety and …, 2023 - Elsevier
In modern buildings, false ceilings are widely used for building services systems and
aesthetic purposes, but they also pose challenges in terms of fire safety. A fire accident …

A combined real-time intelligent fire detection and forecasting approach through cameras based on computer vision method

P Huang, M Chen, K Chen, H Zhang, L Yu… - Process Safety and …, 2022 - Elsevier
Fire is one of the most common hazards in the process industry. Until today, most fire alarms
have had very limited functionality. Normally, only a simple alarm is triggered without any …