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基于大语言模型的灌浆工程知识服务系统

张天鸿 王晓玲 余红玲 王佳俊 苏哲 张君

水利学报2025,Vol.56Issue(1):130-142,13.
水利学报2025,Vol.56Issue(1):130-142,13.DOI:10.13243/j.cnki.slxb.20240164

基于大语言模型的灌浆工程知识服务系统

Grouting works knowledge service system based on large language model

张天鸿 1王晓玲 1余红玲 2王佳俊 1苏哲 1张君1

作者信息

  • 1. 天津大学水利工程智能建设与运维全国重点实验室,天津 300072
  • 2. 中国农业大学水利与土木工程学院,北京 100091
  • 折叠

摘要

Abstract

Professional information acquisition in grouting engineering currently relies on manual processing of di-verse texts,resulting in high labor costs and low efficiency.To address these challenges,it is essential to develop a knowledge service system based on large language model.The construction of this service system hinges on provi-ding high-quality text for fine-tuning large language model and managing the inherent timeliness and information security risks of specific engineering texts.To overcome these challenges,a hybrid strategy dataset construction method is proposed,based on universal grouting construction specifications.By incorporating self-checking chain of thought and scoring strategies,the quality limitations of traditional data generation are addressed,ensuring the provision of high-quality data necessary for fine-tuning the large language model.Additionally,LangChain is em-ployed to build a retrieval augmented generation framework for grouting engineering.By incorporating an embedded local knowledge base,this framework ensures the isolation of specific grouting text and models,guaranteeing infor-mation security.To meet the timeliness requirements of specific engineering texts,a staged update approach is a-dopted.Professional tests demonstrate that the Qwen-7B-Grout model,fine-tuned using our proposed methods,achieves 100%accuracy in the judgment of grouting-specific issues and 80%accuracy in fill-in-the-blank ques-tions.The knowledge service system based on large language model proposed in this study not only facilitates gener-al grouting knowledge Q&A but also realizes efficient retrieval augmented generation of engineering documents.In conclusion,this system significantly improves production efficiency and reduces labor costs,offering new intelligent assistance for grouting design and construction management.

关键词

灌浆工程知识服务/混合策略数据生成/大语言模型/检索增强生成/灌浆工程

Key words

grouting works knowledge service/mixed strategy data generation/large language model/retrieval augmented generation/grouting works

分类

建筑与水利

引用本文复制引用

张天鸿,王晓玲,余红玲,王佳俊,苏哲,张君..基于大语言模型的灌浆工程知识服务系统[J].水利学报,2025,56(1):130-142,13.

基金项目

国家自然科学基金项目(52379131) (52379131)

华能集团总部科技项目(HNKJ20-H21TB) (HNKJ20-H21TB)

水利学报

OA北大核心

0559-9350

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