水利大模型在太湖流域防汛业务中的应用探索OA

This paper systematically reviews the application of large model technologies in flood control operations.It outlines core technical foundations including LLMs,multimodal large models,multi-agent collaboration,and digital twin integration.It analyzes the application patterns and effectiveness of large model technologies across the full"forecast—warning—simulation—contingency plan"chain of flood control operations.Taking the Taihu Lake Basin as the primary case study,it summarizes typical practical experiences including the digital twin of the Taipu River and basin-scale model ensembles.On this basis,a comprehensive comparative analysis of performance data from multiple sources is conducted across three dimensions:task accuracy,computational efficiency,and retrieval-reasoning capability.Finally,the study identifies key challenges from the perspectives of data quality,model interpretability,and computational constraints,and discusses future directions including the evolution toward autonomous decision-making,multimodal fusion,and edge intelligence.