Smart Firefighting

We propose a SureFire System that adopts the complex data generating networks that enable real-time monitoring of the evolution of urban environments and hazards. We gathered a multi-disciplinary team with leading local and international researchers and research laboratories (NIST, SKLFS), Fire Services Department, and multiple high-tech companies (Huawei, Arup, Ehang) to develop the technology and standard for a Smart Firefighting System. SureFire.

The proposed smart firefighting system adopts the complex data generating networks that enable real-time monitoring of the evolution of urban environments and hazards. Proper analysis of this data based on artificial intelligence can deliver information that continuously determines the state and evolution of systems and diagnoses emergent pathologies and support the decision making. Implementation of such a system for smart firefighting will help Hong Kong achieve the status of the world's leading smart city.​

  • Super real-time fire forecasting

  • Fast communication

  • Data-driven science-based tactics

  • Information-rich decision making

Funding: SureFire: Smart Urban Resilience and Firefighting, RGC Theme-based Research Scheme (No. T22-505/19-N), HK$ 33M, 2020 - 2024; 

Local collaborators: Prof. Asif Usmani, Prof. Fu Xiao (BSE), Dr Qixin Wang (COMP), Prof. Heng Li (BRE), Prof. John Shi (LSGI), Prof. George Huang (HKU)

Overseas Collaborators: Dr Stephen Welch (Edinburgh), Prof. Jose Torero (UCL), Prof. Xinzheng Lu (Tsinghua)

Representative publications:

  • X. Wu, Y. Park, A. Li, X. Huang*, F. Xiao, A. Usmani (2020) Smart Detection of Fire Source in Tunnel Based on the Numerical Database and Artificial Intelligence, Fire Technology. doi: 10.1007/s10694-020-00985-z

  • X. Zhang, X. Wu, Y. Park, X. Huang, T. Zhang, F. Xiao, A. Usmani (2020) Perspectives of Big Experimental Database and Artificial Intelligence in Tunnel Fire Research, Tunnelling and Underground Space Technology (Accepted)

  • X. Wu, X. Zhang, X. Huang, F. Xiao, A. Usmani (2020) A Real-time Fire Forecast in Tunnel Based on Big Data and Artificial Intelligence, Tunnelling and Underground Space Technology (under Review). 

Project Members

Dr Xiqiang Wu

Zilong Wang

Xiaoning Zhang

Lingchu Su

Tianhang Zhang

©2021 by PolyU Fire Lab.