Safety control of reservoir dam system with digital intelligence technology
The new generation of artificial intelligence(AI)has redefined the processes of knowledge discovery,reasoning,and decision-making,driving a new wave of technological revolution and industrial transformation.AI is profoundly altering production,daily life,and cognitive methods across all sectors,with industries actively exploring AI empowerment.Represented by artificial neural networks,AI technologies have been extensively applied in the water resources and hydropower sector,including dam construction,underground cavern excavation,high-slope safety control,and reservoir area geological disaster prevention,yielding significant economic,social,and ecological benefits.However,these applications are often confined to specific domains,with limited generalization capabilities,highlighting the urgent need for vertical large-scale AI models tailored to the water resources and hydropower sector.Taking reservoir dam systems as the research focus,this study proposes a fundamental framework for integrating digital intelligence technologies into safety control.The framework leverages a general-purpose large model as its foundational layer and develops a multi-scale,multi-field coupling computational approach driven by both mechanisms and data,utilizing industry big data.It integrates hardware components such as perception devices and construction robots to enable intelligent decision-making and control throughout the entire lifecycle of surveying,design,construction,and operation,aiming to significantly enhance the intelligence level of reservoir dam system safety control while maximizing the integrated benefits of water resources and hydropower projects.
reservoir dam systemartificial intelligencedigital twinintelligent decision-makingAI empowermentsafety control
万方数据
维普
