超大城市地下空间开发利用是缓解城市土地压力、优化交通和提升韧性的关键。然而，传统的“工程韧性”理念在全球气候变化和城市化加速背景下，难以应对地下空间系统复杂性、多灾害耦合及数据智能处理等挑战。因此，向人工智能赋能的“智慧韧性”理念转变，聚焦韧性防灾减灾，成为未来发展亟需。本文首先梳理了超大城市地下空间系统面临的灾害类型，阐述了超大城市地下空间系统智慧韧性的内涵，进而指出了智慧韧性发展涉及的关键科学和技术问题，并从灾害类型与强度的时空分布、灾变分析与韧性评估理论、材料 ‒ 结构协同体系、全域感知技术与高保真数据库、基于人工智能技术的自主决策与智能进化等方面剖析了超大城市地下空间系统智慧韧性发展现状及存在的问题。进一步构建了“物理 ‒ 信息 ‒ 仿真”三域融合与实时数据交互的多维度协同管控（PISMC）框架，明晰了超大城市地下空间系统智慧韧性体系的实施路径。研究建议，从物理、信息、仿真三域多维度强化保障措施，构建综合保障体系，推动超大城市地下空间系统智慧韧性发展的有序性与高效性。

The development of underground spaces in megacities is crucial for alleviating urban land pressure, optimizing transportation, and enhancing resilience. However, under the dual pressures of global climate change and rapid urbanization, the traditional concept of engineering resilience struggles to address challenges such as the complexity of underground space systems, multi-hazard coupling, and intelligent data processing. Consequently, a shift toward an AI-enabled intelligent resilience concept, focusing on resilient prevention and mitigation of disasters, has become an imperative direction for future development. This study first categorizes the types of disasters faced by underground space systems in megacities and elaborates on the concept of intelligent resilience for such systems. It then identifies key scientific and technological issues involved in developing intelligent resilience. Subsequently, the study analyzes the current state and existing problems in intelligent resilience development across several dimensions: spatiotemporal distribution of disaster types and intensities; theories for failure mechanism analysis and resilience assessment; synergistic material-structural systems; comprehensive sensing technologies and high-fidelity databases; and AI-driven autonomous decision-making and intelligent evolution. Furthermore, a multi-dimensional collaborative management and control framework based on the integration of physical, information, and simulation domains with dynamic real-time data interaction is constructed, which clarifies the implementation pathways for the intelligent resilience systems of underground space in megacities. Finally, the study recommends strengthening comprehensive safeguards across physical, information, and simulation domains to construct an integrated support system, thereby promoting the orderly and efficient advancement of intelligent resilience in megacity underground space systems.