Abstract: Based on the complex geological conditions of Tianxing reservoir, such as high slope at the dam abutment, medium-sized landslide at the left dam abutment, soft shale in the dam foundation, and leakage in karst zones, risk levels were identified through hazard identification and risk assessment dur ⁃ ing construction. Risk prevention and control measures were proposed, and a three-in-one intelligent construction risk prevention and control system of "intelligent monitoring, digital twin and dynamic regu ⁃ lation" was constructed. An "AI+BIM+GIS" model was established to improve the efficiency of precise risk control and construction quality. The research results can provide reference for water conservancy intelligent management, intelligent construction and digital twin to improve safety risk control under complex geological conditions.

Key words: complex geological condition, asphalt concrete core wall dam, digital twin, intelligent con ? struction, AI empowerment, safety risk control

摘要： 基于天星水库坝肩高边坡、左坝肩有中型滑坡体、坝基为软质页岩、岩溶带渗漏等复杂工程地质条件，通过施工作业危险源辨识和风险评估，划分风险等级，提出风险防控措施，构建“智能监测、数字孪生、动态调控”三位一体智能建造风险防控体系，建立“AI+BIM+GIS”模型，提升了精准风险管控效率和施工质量，研究成果可为复杂地质条件下水利智慧管理、智能建造、数字孪生安全风险管控提供参考。

关键词: 复杂地质条件, 沥青混凝土心墙坝, 数字孪生, 智能建造, AI 赋能, 安全风险管控