August 19, 2024 by Hong Kong Polytechnic University
Collected at: https://techxplore.com/news/2024-08-firefighting-technology-smart-solutions-urban.html
The increase in high-rise and densely populated urban development has heightened the demand for safety and resilience solutions against emergencies, such as fires. The Hong Kong Polytechnic University (PolyU) has created advanced technological solutions to enhance firefighting and urban resilience.
Prof. Asif Usmani, Chair Professor of Building Sciences and Fire Safety Engineering, and Dr. Huang Xinyan, Associate Professor of the Department of Building Environment and Energy Engineering at PolyU, hosted the 2nd International Smart Firefighting Workshop (SureFire 2024) at PolyU, which aimed to tackle future urban fire threats and enhance smart firefighting capabilities. This workshop is a component of the “SureFire: Smart Urban Resilience and Firefighting” project.
Under the research of Prof. Usmani and Dr. Huang, the SureFire System adopts complex data-generating networks to enable real-time monitoring of urban environments and hazards. Proper AI-based analysis of the data can provide information that continuously assesses the state and evolution of systems, diagnoses emerging pathologies, and supports decision-making.
The increasing occurrence of fires in high-rise buildings globally demonstrates how the evolution of the built environment has altered the nature of fire threats. At the workshop, over 70 international research experts and scholars presented emerging topics in fire safety, covering areas in fire safety design, thermal safety management for battery systems, and artificial intelligence (AI) fire forecasting.
Dr. Huang said, “Together with a multidisciplinary research team, we are uncovering answers to fundamental research questions necessary for developing the foundational technology of a smart firefighting system. This system leverages the rapidly evolving landscape of cyber-physical technologies.”
To improve fire safety management during emergencies, Dr. Huang and his research team have recently introduced an intelligent digital twin system. This system couples an Artificial Intelligence of Things (AIoT) system and a computer vision model to enable real-time fire risk assessment.
Prior to a fire event, this digital twin can map the distribution of vehicles with different fire risks inside the building in real-time. In the event of a fire incident, the AI engine not only assesses the current fire scene but also forecasts the future fire progression to support fire fighting, evacuation and rescue efforts.
The overall Digital Twin framework for tunnel fire safety management. Credit: 2024 Research and Innovation Office, The Hong Kong Polytechnic University. All Rights Reserved.
An overview of digital twin systems and their application fiels. Credit: 2024 Research and Innovation Office, The Hong Kong Polytechnic University. All Rights Reserved.
To demonstrate the system’s performance, the SureFire team has conducted multiple large-scale fire tests in tunnels in Sichuan and multi-story buildings in the Fire and Ambulance Services Academy (FASA) of the Hong Kong Fire Services Department. Leveraging advanced computational fire modeling techniques, the SureFire system can forecast the fire scene 1–3 minutes in advance with an accuracy exceeding 90%.
Dr. Huang said, “This developed SureFire system has the potential to be installed in all future buildings and infrastructures, enhancing public safety, providing early disaster warnings, and optimizing emergency evacuations.” This research is a great leap towards achieving true intelligent public safety and emergency response.
More information: Xiaoning Zhang et al, AIoT-enabled digital twin system for smart tunnel fire safety management, Developments in the Built Environment (2024). DOI: 10.1016/j.dibe.2024.100381
Xiaoning Zhang et al, Smart real-time evaluation of tunnel fire risk and evacuation safety via computer vision, Safety Science (2024). DOI: 10.1016/j.ssci.2024.106563
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