家电科技Issue(z1)：1-7,7.DOI:10.19784/j.cnki.issn1672-0172.2024.99.001
基于大模型决策的故障树智能问答方法研究
Research on fault tree intelligent question and answering methods based on large model
田云龙 1司福东 1牛丽 2苏明月2
作者信息
- 1. 青岛海尔科技有限公司 山东 青岛 266100||数字家庭网络国家工程研究中心 山东 青岛 266100
- 2. 青岛海尔科技有限公司 山东 青岛 266100||青岛市智慧家庭交互与控制工程研究中心 山东 青岛 266100
- 折叠
摘要
Abstract
Fault Tree Question Answering(FTQA)is a form of intelligent question-answering system built upon the fundamentals of fault tree analysis,where enhancing efficiency and accuracy are key challenges.To address this,a novel method based on large model decision-making has been proposed.By transforming the fault tree into a Directed Acyclic Graph(DAG)and integrating deep learning and natural language processing technologies,this method utilizes large decision-making models to develop an intelligent question-answering system.This system is capable of effectively understanding and responding to various questions related to fault trees,thereby solving multiple critical technical challenges.Experiments conducted on various types and sizes of fault tree models have validated the significant advantage of this system in terms of the accuracy of responses.Research findings demonstrate that the fault tree question-answering method based on large model decision-making not only holds significant theoretical implications but also exhibits substantial practical value in application.This introduces an innovative approach and tool for intelligent fault tree question-answearing,laying a solid foundation for future research and development.关键词
故障树/智能问答/准确性/大模型决策Key words
Fault tree/Intelligent question-answering/Accuracy/Large model decision-making分类
信息技术与安全科学引用本文复制引用
田云龙,司福东,牛丽,苏明月..基于大模型决策的故障树智能问答方法研究[J].家电科技,2024,(z1):1-7,7.
