大语言模型在水利领域的应用现状及进展研究OA

Smart water conservancy is a crucial measure for promoting the efficient utilization of water resources and the modernization of water governance,and has become a core direction for the transformation and upgrading of the water conservancy sector.During the current construction process,it still faces problems such as heterogeneous multi-source data,insufficient coupling between mechanisms and data models,and limited level of business intelligence,which makes it difficult to fully support the demand for scientific decision-making in complex water conservancy scenarios.Large lan-guage model(LLM),relying on its advantages in knowledge representation,semantic reasoning and natural interaction,shows broad potential in empowering smart water conservancy.From the three core dimensions of technical system,busi-ness paradigm and system integration,this paper systematically reviews the research progress of LLM in the water conser-vancy field,sorts out the core technical systems of LLM empowering smart water conservancy,including knowledge en-hancement,parameter optimization,interaction optimization,multi-modal fusion and agent development,and analyzes the dataset construction and evaluation methods of LLM in the water conservancy field.It deeply examines the transforma-tion of business paradigms driven by LLM in core scenarios such as basin flood control,water resource allocation,and construction,operation and maintenance of water conservancy projects.It also summarizes three types of system integra-tion models and technical pathways for business implementation,namely knowledge enhancement-driven,professional model coupling,and agent collaboration.Finally,the development trends of the in-depth integration of LLM and smart water conservancy are summarized and prospected,aiming to provide theoretical reference and practical experience for the in-telligent and smart transformation of the water conservancy sector.