Research Impact The primary goal of the project is to develop tools for data-assisted critical event forecasting in a fire emergency. The tools can be used to support emergency response in real time. SureFire has the potential to revolutionise the practices of urban fire services to the benefit of the general public, improve the efficiency and effectiveness of firefighting, enhance the safety of fire fighters, and improve the day-to-day fire safety management of buildings and urban infrastructure. Faculty of Construction and Environment, PolyU made an Impact Case Study video to showcase the SureFire project. It is one of the seven most impactful Sustainable Urban Development and Smart City researches. The project team is collaborating with a local start-up company, RaSpect Intelligence Inspection Limited, to apply for the Innovation and Technology Fund (ITF) project together and commercialize the device and systems proposed in the project. The project has led to two start-up companies, one focuses on the smart dynamic exit signage system powered by SureFire forecast engine, and the other focuses on the autonomous robotic firefighting driven by SureFire system. The research has resulted in 7 patents to date. 研究影響 本項目的主要目標是開發在火災緊急情況下用數據支撐預報危 險事件發生的工具，並用於實時應急響應。SureFire 將可能極 大地改變城市的公共消防安全服務、提高滅火效率、加強消防 員的生命安全保障，並改善建築與城市基礎設施的日常火災安 全管理。理工大學建設及環境學院為 SureFire 項目製作了案例 研究視頻。這是可持續城市發展和智慧城市七個最具影響力的 項目之一。 項目團隊正在與一家本地初創公司 RaSpect Intelligence Inspection Limited 合作，共同申請創新科技基金（ITF）項 目，並將項目中提出的設備和系統商業化。該項目已經促成了 兩家初創公司的成立，一家專注於由 SureFire 預測模型驅動 的智慧動態出口指示系統，另一家專注於由 SureFire 系統驅 動的自主機器人滅火。到目前為止，這項研究已經獲得了 7 項專利。 Abstract SureFire integrates smart building technology, state-of-the-art fire simulation, event library forecasting database (big-data) to develop an Artificial Intelligence (AI) based tool providing timely forecasts of critical events to assist firefighters in making informed decisions. A high-level framework divides the project into three work packages. Through Digital Twin, SureFire coordinates BIM and IoT technologies to dynamically project the physical world into the digital world. The system continuously monitors a building or other infrastructure facility, and the event of a fire engages the AI subsystem to begin generating forecasts and relays decision support information to fire crews and alerting them to probable critical events and the time and place they may occur. 項目簡介 SureFire 集成了智慧建築技術、最先進的火災模型、事件預測 資料庫（大數據）以及開發基於人工智慧（AI）的應用工具， 及時預測危險事件，以協助消防員做出明智的決策。根據研究 內容該項目分為三個課題。通過數位孿生技術，SureFire 協調 建築資訊模型（BIM）和物聯網（IoT）技術，將物理世界動態 地投射到數位世界中。該系統持續監控建築或其他基礎設施的 內部情況，在發生火災時啟動 AI 子系統開始預測，並向消防 隊傳遞支援資訊，預警可能發生的危險事件以及可能發生的時 間和位置。 Fire test with HK FSD (2021) 與香港消防局進行火災實驗 （2021） Demonstrate firefighting robot to children at Geneva (2024) 在日內瓦展示消防救火機器人（2024） SureFire Workshop at Tsinghua (2023) 在清華大學舉辦 SureFire 工作坊（2023） SureFire system Demo for fireman training facility SureFire 系統演示消防訓練設施 19
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