中国水利Issue(16)：53-57,5.DOI:10.3969/j.issn.1000-1123.2025.16.009
智能大坝本质特征及功能目标研究
Study on essential characteristics and functional objectives of intelligent dams
摘要
Abstract
Intelligent dams are an inevitable trend and requirement in the technical development of dam engineering.At present,preliminary engineering practices have been carried out in the construction of intelligent dams,forming innovative concepts,but a complete and unified theoretical system has not yet been established.To effectively promote the construction of intelligent dams and improve the level of engineering safety management and benefit exertion,it is necessary to clarify the positioning of intelligent dams and deepen their scientific cognition.This paper deeply discusses the essential characteristics of intelligent dams from three aspects:the purpose and goal of intelligent dams is to realize the positive interaction between high-quality development and high-level safety;their functional role is prediction and pre-judgment;and their implementation approach is digital twin technology.It clarifies the main functional objectives of intelligent dams from three aspects:intelligent operation and maintenance of dams,intelligent reservoir dispatching,and intelligent engineering management.It expounds the operation mechanism of intelligent dams from six aspects:thorough information perception,data transmission and governance,intelligent analysis and diagnosis,dynamic decision-making and prevention,engineering collaborative operation,and system iterative optimization.This deepens the scientific cognition of intelligent dams,improves the theoretical system of intelligent dams,provides useful references for the theoretical research and practical application of intelligent dams,and contributes to promoting high-quality development of water conservancy.关键词
智能大坝/本质特征/功能目标/运行机制/实施途径Key words
intelligent dam/essential characteristic/functional objective/operation mechanism/implementation approach分类
建筑与水利引用本文复制引用
周秋景,赵运天,聂鼎,柴福鑫..智能大坝本质特征及功能目标研究[J].中国水利,2025,(16):53-57,5.基金项目
国家重点研发计划项目(2024YFC3212700). （2024YFC3212700）
