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 …

Evaluating the fire risk associated with cladding panels: An overview of fire incidents, policies, and future perspective in fire standards

ACY Yuen, TBY Chen, A Li… - Fire and …, 2021 - Wiley Online Library
Multifunctional building façades have become an increasingly critical component in modern
buildings, especially after the tremendous scrutiny triggered by the utilization of combustible …

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 …

Smart performance-based design for building fire safety: Prediction of smoke motion via AI

L Su, X Wu, X Zhang, X Huang - Journal of Building Engineering, 2021 - Elsevier
The performance-based design (PBD) has been widely adopted for building fire safety over
the last three decades, but it requires a laborious and costly process of design and approval …

Real-time detection and forecast of flashovers by the visual room fire features using deep convolutional neural networks

MH Mozaffari, Y Li, Y Ko - Journal of Building Engineering, 2023 - Elsevier
Flashover occurs in building fires whereby all the combustible materials in an enclosure
begin to ignite rapidly. This detrimental phenomenon occurs because of the intense heat …

An intelligent approach to assessing the effect of building occupancy on building cooling load prediction

SSK Kwok, RKK Yuen, EWM Lee - Building and Environment, 2011 - Elsevier
Building cooling load prediction is one of the key factors in the success of energy-saving
measures. Many computational models available in the industry have been developed from …

Perspectives of using artificial intelligence in building fire safety

X Huang, X Wu, A Usmani - … of cognitive and autonomous systems for fire …, 2022 - Springer
Over the past decade, big data and artificial intelligence (AI) enable new smart techniques in
the building and construction area. The applications of AI in fire detection, risk assessment …

Real-time monitoring and prediction method of commercial building fire temperature field based on distributed optical fiber sensor temperature measurement system

G Liu, H Meng, G Qu, L Wang, L Ren, H Lu - Journal of Building …, 2023 - Elsevier
In order to accomplish the task of real-time monitoring and prediction of fire temperature in
commercial buildings, this study proposes a sensor arrangement method based on sensor …