A review of critical fire event library for buildings and safety framework for smart firefighting
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 …
environments, exposed to hot and toxic fire smoke and risks of structural failures or …
Intelligent emergency digital twin system for monitoring building fire evacuation
The provision of real-time and detailed evacuation information feedback is vitally significant
for the formulation and adaptation of the onsite evacuation strategy. The conventional …
for the formulation and adaptation of the onsite evacuation strategy. The conventional …
Real-time forecast of compartment fire and flashover based on deep learning
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 …
significance for firefighting and rescue operations. This work proposes an artificial …
An intelligent tunnel firefighting system and small-scale demonstration
Disastrous fire event in the confined tunnel is a fatal hazard, threatening the lives of trapped
people and firefighters. Considering the rapid development of fire and the complex …
people and firefighters. Considering the rapid development of fire and the complex …
Predicting transient building fire based on external smoke images and deep learning
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 …
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
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 …
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
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 …
and thermal effects of a burning item. However, traditional fire calorimetry methods are not …
Smart performance-based design for building fire safety: Prediction of smoke motion via AI
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 …
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
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 …
begin to ignite rapidly. This detrimental phenomenon occurs because of the intense heat …
Machine learning driven smart fire safety design of false ceiling and emergency response
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 …
aesthetic purposes, but they also pose challenges in terms of fire safety. A fire accident …