本课题以地铁工程全生命期安全风险为研究对象,以DFS（Design for Safety）和BIM智能化信息技术为主要思想和工具。针对地铁工程设计方案，识别与设计相关的安全风险影响因素；探究不同设计方案下地铁工程施工、运营阶段和应急状态下的安全风险形成机理；基于本体技术构建地铁工程全生命期安全风险知识库，深度挖掘安全设计知识，为提取安全规则提供支持；针对施工安全、运营安全和公共安全等不同安全风险，基于BIM技术构建全生命期4D/3D模型，采用智慧几何方法自动识别、诊断施工和运营阶段安全隐患，采用多智能体动态仿真方法模拟不同情景的安全风险并识别突发状态下的地铁工程脆弱性；针对不同类型安全风险的不同特点，利用智能推理、多目标优化等方法对设计方案进行优化改进，利用可视化仿真验证优化方案，实现地铁工程全生命期安全风险预控，为地铁工程安全设计及优化工作提供理论指导和应用指南，提升地铁工程安全绩效。

This study is focusing on the reducing safety risks during lifecycle of subway engineering through DFS (Design for Safety)-based intelligent pre-control methodologies. Firstly, the critical factors related to safety risks in construction and operation in design works are identified, based on which the formation mechanism for safety risks in construction, operation , and emergency due to different design works will be further explored. An ontology-based knowledge base will be established, which can be used to mine the knowledge of DFS to obtain rules for DFS. Focusing on the different safety risks in construction, operation , and emergency, 4D/3D BIM model will be established, based on which Smart Geometry method is used to automatically identify and evaluate the safety risks in construction and operation and multi-agent mehos is used to identify the vunerability of subway in emergency. Furthermore, intelligent resoning and multiobjective optimization will adopted to optimize the design plan. Meanwhile, the visual similation method also will be used to verify the feasibility of optimized design paln to realize the pre-control of safety risks during lifecycle of subway engineering, which would provide theoretical direction and application guide to improve safety performance of subway egineering.