中国防汛抗旱2026，Vol.36Issue(9)：1-7,7.DOI:10.16867/j.issn.1673-9264.2026290
水利知识图谱与大模型双向赋能技术探索
Exploration of bidirectional empowerment technology between water conservancy knowledge graph and large models
摘要
Abstract
The illusion problem of large models and the low efficiency of knowledge graph construction have become the main bottlenecks restricting their application in the water conservancy industry.Proposed a bidirectional empowerment technology system for knowledge graphs and large models,with the core logic being that knowledge graphs complete domain cognition for large models,and large models improve construction efficiency for knowledge graphs,and a bidirectional empowerment technology framework is constructed.In terms of empowering large models with knowledge graphs,injecting structured domain knowledge through enhanced pre-training,constructing targeted datasets,clarifying inference paths,tracing knowledge sources and inference links,and quantitatively verifying inference results based on knowledge graphs can suppress the illusion of large models and enhance professionalism and credibility.In terms of empowering knowledge graphs with large models,achieving automatic recognition of entities and relationships,intelligent classification of knowledge annotation,and knowledge supplementation can improve the efficiency of knowledge graph construction and management.By applying the bidirectional empowerment technology of knowledge graphs and large models,the professional accuracy and interpretability of large models in flood control scheduling,water resource management,engineering hazard identification and other scenarios can be significantly improved.At the same time,the automation iteration of knowledge graphs can be achieved,forming a virtuous loop and providing technical support for the intelligent transformation of the water conservancy industry.The relevant ideas and methods provide reference for the value mining of water conservancy knowledge platforms and the application of large model industries.关键词
大模型/知识图谱/知识平台/数字孪生/双向赋能Key words
large model/knowledge graph/knowledge platform/digital twin/bidirectional empowerment分类
信息技术与安全科学引用本文复制引用
钱峰,沈乃政,刘业森,张保生,陆宇,刘杰,彭天赦..水利知识图谱与大模型双向赋能技术探索[J].中国防汛抗旱,2026,36(9):1-7,7.基金项目
国家自然科学基金重大项目(52394235) （52394235）
数字孪生水网知识平台项目(JZ120203A0902025). （JZ120203A0902025）
