水利信息化Issue(2)：21-29,9.DOI:10.19364/j.1674-9405.2026.02.004
基于多模态大模型的水利地理智能体研究与应用
Research on application of a multimodal large model-based hydro-geospatial intelligent agent
摘要
Abstract
To address the challenges of inadequate natural language interaction capability,low efficiency in multi-source heterogeneous data fusion,and limited intelligent decision-making support in water conservancy systems,this paper proposed a multimodal large model-based hydro-geospatial intelligent agent framework(Hydro-GIA).The framework established a five-layer architecture comprising the infrastructure layer,data and knowledge layer,cognitive and computing layer,orchestration and execution layer,and application and interaction layer.By incorporating prompts to define task execution specifications,a multimodal prompt embedding strategy(MPE)to enhance domain-specific semantic understanding,and a tree-structured allocation mechanism for precise task scheduling,the framework achieved a complete closed-loop process from natural language instructions to multimodal result generation.Based on Qwen 3 and DeepSeek models,eight specialized agents were developed and validated through typical application scenarios,including earthquake disaster analysis,flood pre-assessment,and intelligent online mapping.The results demonstrate that Hydro-GIA effectively enhances interaction efficiency,data fusion capability,and intelligent decision-making in water conservancy applications.关键词
Hydro-GIA/大模型/树形结构/MPE/提示词Key words
Hydro-GIA/large models/tree-structure/MPE/prompt分类
建筑与水利引用本文复制引用
童杨辉,张鑫,张奉献,刘阳,周鑫鑫..基于多模态大模型的水利地理智能体研究与应用[J].水利信息化,2026,(2):21-29,9.基金项目
江苏省高等学校基础科学(自然科学)研究面上项目(22KJB420004) （自然科学）
