Short Biography of Project Coordinator Professor Asif USMANI is Chair Professor and head of Department of Building Environment and Energy Engineering (BEEE). Professor USMANI is Project Coordinator (PC) for SureFire. His research focuses on understanding the thermo-mechanical behaviour of civil infrastructure in real fires using analytical and computational approaches validated with experimental data. The aim is to enable current practice to move on from prescriptive design of structural fire resistance by developing new and rational design methods in which realistic representations of demand (fire hazard) are set against scientifically robust estimates of structural capacity in order to ensure reliable performance. His research output includes over 200 peer-reviewed publications, authored and edited books, and many technical reports. He has obtained research grants in excess of HK$100 million, including the Research Grants Council (RGC) funding for SureFire. 項目統籌人簡介 Asif USMANI 教授是建築環境與能源工程系（BEEE）的講座 教授和系主任。USMANI 教授是 SureFire 的項目統籌人。他 的研究重點是通過分析和計算方法來理解民用基礎設施在真實 火災中的熱力學行為，並用實驗數據進行驗證。目的是通過開 發新的合理的設計方法，使現行的結構防火設計實踐不完全依 賴規範進行設計。在這些新的方法中，科學可靠的結構承載能 力計算與火災危險條件下的實際需要相對應，以確保可靠的性 能。他的研究成果包括 200 多篇同行評審的論文、專著與參與 編輯的著作、和許多的研究報告。他所獲得的研究資金超過 1 億港元，包括研究資助局為 SureFire 項目提供的資金。 SureFire: Smart Urban Resilience and Fire ghting SureFire：智慧城市災害防控和火災應急研究 T22-505/19-N Project Coordinator Professor Asif Sohail USMANI The Hong Kong Polytechnic University 項目統籌人 Asif Sohail USMANI 教授 香港理工大學 18 Project Summary The key thrust of research effort in this project is to build all the components of the SureFire system so that it has forecasting capability. The roles of the key components of the system are as follows: • Digital twin: Use the Building Information Model (BIM) to create a digital twin of targeted buildings incorporating the sensor network and create an Internet-of-Things (IoT) based framework for regular updating of the digital twin. Develop efficient methods to construct geometric model of an existing building where a BIM model is unavailable. • Communication networks for data collection: Real time data from the emergency location is collected from sensors and relayed to the emergency response command and control (C&C). • Data analysis, incident simulation and forecasting: The concept of Event Library Forecasting (ELF) is developed and adopted. The ELF database with big data analytics and AI/machine learning techniques train the AI model and enable SureFire for practical implementation. Sensor steered “simulation tools” based on pre-trained AI models forecast the evolution of the fire, establish its impact on the structure and analyse intervention alternatives and evacuation strategies. All of this happens faster than the evolution of the emergency in real time. • Feedback to incident venue: Updated forecasts are relayed continuously to actuators, C&C and incident commander (IC) in forms easily assimilated by the recipients for aiding decisions. • Smart emergency response: Effective coordination between C&C, IC and firefighters using unambiguous execution support helps them implement effective response without delay. SureFire focuses mainly on the 2nd and 3rd components (Networking and Forecasting) as they represent the most fundamental research challenges in achieving the desired capability. 項目概要 該項目研究工作的主要推動力是構建 SureFire 系統的預測能 力。關鍵內容如下： • 數字孿生： 使用建築資訊模型（BIM）創建目標建築物的數字孿生模型， 包括傳感器網路，並創建基於物聯網（IoT）的框架，用於定 期更新數字孿生模型。開發有效的方法來構建沒有BIM模型 的現有建築的幾何模型。 • 數據收集的通信網路： 從傳感器收集緊急事故現場的實時數據，並傳送到應急響應 指揮與控制（C&C）中心。 • 數據分析、緊急事件模擬和預測： 開發並採用了事件庫預測（ELF）概念。結合大數據分析和人 工智能（AI）/機器學習技術，用ELF數據庫訓練AI模型，使 SureFire能够進行實際應用。由傳感器數據引導的带有AI模 型的“模擬工具”可以預測火災的演變，确定其對結構的影 響，並分析救援的可選方案和疏散策略。所有這些分析和預 測比實時發生的緊急事件的變化還要快。 • 緊急事件現場反饋： 更新的預測結果不間斷地傳送給執行者、指揮與控制中心和 現場指揮官（IC），反饋的形式便於理解，幫助他們做出決策。 • 智能應急響應： C&C、IC 和消防員之間有效的協調，使用明確的指令協助他 們及時地實施有效回應。 SureFire 主要集中研究第二和第三項（網路和預測），這兩項 是最為基礎的研究，充滿挑戰。 Participating Institutions The University of Hong Kong University College London Tsinghua University University of Edinburgh 參與院校 香港大學 倫敦大學學院 清華大學 愛丁堡大學 THEME 主題 2 | Developing a Sustainable Environment 建設可持續發展的環境
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