北京水务Issue(6)：13-18,6.DOI:10.19671/j.1673-4637.2025.06.003
大模型技术在水务数据检索中的应用研究
Technical research on large models in water data retrieval
杜跃博 1张新 1李昊 1沈凯 1韩悦 2许红霞 2彭丽 1李宗艳1
作者信息
- 1. 北京市智慧水务发展研究院 北京 101117
- 2. 北京工业大学 北京 100124
- 折叠
摘要
Abstract
With the accelerated advancement of smart cities and digital transformation,the water industry is facing challenges in the processing and analysis of massive amounts of data.Large models,especially natural language processing(NLP)and knowledge base technologies based on deep learning,provide a new approach for the efficient retrieval and intelligent management of water data.To address the issues of intelligent retrieval of water data and scattered information resources,this study explored the application status,technical principles,and challenges of large models in water data retrieval,and proposed an overall architecture design and an implementation approach based on Retrieval-Augmented Generation(RAG).It is expected to provide theoretical support and practical guidance for the intelligent transformation of the water industry.关键词
大模型/水务数据检索/自然语言处理/知识库Key words
large models/water data retrieval/natural language processing(NLP)/knowledge base分类
信息技术与安全科学引用本文复制引用
杜跃博,张新,李昊,沈凯,韩悦,许红霞,彭丽,李宗艳..大模型技术在水务数据检索中的应用研究[J].北京水务,2025,(6):13-18,6.
