现代制造工程Issue(9)：33-40,8.DOI:10.16731/j.cnki.1671-3133.2025.09.005
基于大语言模型的装配工艺智能问答方法
Intelligent question and answer method for assembly process based on large language models
郭喜锋 1梁文馨 1季宝宁 1蒋明杰 2陈伦1
作者信息
- 1. 成都飞机工业(集团)有限责任公司,成都 610031
- 2. 南京航空航天大学机电学院,南京 210016
- 折叠
摘要
Abstract
The assembly process information of complex aerospace products is typically hidden in multi-source information storage media such as process documents and 3D models,leading to low efficiency in reusing historical assembly processes and high time costs for learning assembly process knowledge.To address these issues,it proposes an intelligent question and answer method for assembly process information based on large language models to improve the effective utilization of assembly process knowledge.First,a method for representing assembly process information is designed to structurally present assembly process knowledge,enabling automatic knowledge graph construction.Secondly,a key information identification method is proposed,which combines large language models with a Bidirectional Long Short-Term Memory(Bi-LSTM)network and Conditional Random Fields(CRF).Finally,key information is used to generate retrieval queries for matching answers from the assembly process knowledge graph.The proposed method is validated using the assembly process information of a complex aerospace product,and the experimental results show a significant improvement in the efficiency of assembly process designers.关键词
大语言模型/装配工艺设计/复杂航空产品/知识图谱/智能问答Key words
Large Language Model(LLM)/assembly process design/complex aerospace products/knowledge graph/intelligent question and answer分类
航空航天引用本文复制引用
郭喜锋,梁文馨,季宝宁,蒋明杰,陈伦..基于大语言模型的装配工艺智能问答方法[J].现代制造工程,2025,(9):33-40,8.
