各类灾害风险下城市基础设施系统的安全与防护面临日益严峻的挑战。本项目结合当前智慧城市快速发展过程中在灾害防护方面存在的实际问题，从韧性视角出发研究智慧城市基础设施系统安全与防护的基本理论与关键技术。本项目采用大数据挖掘与分析、理论建模、仿真分析等方法，系统研究智慧城市基础设施系统无源感知网络的硬件集成、网络体系架构和资源优化，提出无线传感器网络数据精准融合方法，阐明城市基础设施监测物联网运行机理，实现城市各类关键基础设施系统的灾害风险实时监测与预警，揭示跨基础设施系统的风险耦合与传导机制，建立基于监测数据和模型推演的智慧城市基础设施系统韧性评估体系。本项目预期成果将为智慧城市基础设施系统的安全运维提供基于物联网的风险监测与预警技术、基于大数据的灾害情境分析与推演方法以及基于韧性管理理论的评估框架和提升对策，对智慧城市基础设施系统的安全与防护具有重要的理论价值和实践意义。

The safety and protection of urban infrastructure systems under various disaster risks has been faced with great challenges. Aiming to address these challenges, this project studies the fundamental theories and key technologies of the safety and protection of infrastructure systems in smart cities. The project analyzes the integration of passive sensing nodes, and network framework development and the resources optimization, proposes approaches for wireless sensing network data fusion, explains the mechanism of urban infrastructure IoT-based monitoring, achieves the real-time monitoring and alert of various key infrastructure systems, reveals cross-system propagation of disaster risks, and establishes a resilience assessment framework for smart city urban infrastructure systems based on sensing data and scenario simulation. The expected outcomes of this project will support the safe operation of smart city infrastructure systems with IoT-based risk monitoring and alert technologies, big data-base disaster scenario analysis and simulation approaches, and resilience management theories-based resilience assessment framework and improvement strategies. The outcomes will have significant theoretical and practical values for the safety and protection of smart city urban infrastructure systems.