Advanced controls on energy reliability, flexibility, resilience, and occupant-centric control for smart and energy-efficient buildings—a state-of-the-art review

Z Liu, X Zhang, Y Sun, Y Zhou - Energy and Buildings, 2023 - Elsevier
Advanced controls have attracted increasing interests due to the high requirement on smart
and energy-efficient (SEE) buildings and decarbonization in the building industry with …

A review of tunnel fire evacuation strategies and state-of-the-art research in China

Y Zhang, X Huang - Fire Technology, 2024 - Springer
After over 30 years of fast economic development and massive construction of
infrastructures, China now owns the largest total length of tunnels in the world. However …

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 …

Intelligent emergency digital twin system for monitoring building fire evacuation

Y Ding, Y Zhang, X Huang - Journal of Building Engineering, 2023 - Elsevier
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 …

An intelligent tunnel firefighting system and small-scale demonstration

X Wu, X Zhang, Y Jiang, X Huang, GGQ Huang… - … and Underground Space …, 2022 - Elsevier
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 …

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 …

StructuresNet and FireNet: Benchmarking databases and machine learning algorithms in structural and fire engineering domains

MZ Naser, V Kodur, HT Thai, R Hawileh… - Journal of Building …, 2021 - Elsevier
Abstract Machine learning (ML) continues to rise as an effective and affordable method of
tackling engineering problems. Unlike other disciplines, the integration of ML into structural …

A real-time forecast of tunnel fire based on numerical database and artificial intelligence

X Wu, X Zhang, X Huang, F Xiao, A Usmani - Building Simulation, 2022 - Springer
The extreme temperature induced by fire and hot toxic smokes in tunnels threaten the
trapped personnel and firefighters. To alleviate the potential casualties, fast while …