摘要
针对电力系统运维业务,基于百度飞桨设计了一款新型电力运维知识智能问答平台。利用自然语言处理技术,以FAISS为索引工具,使用SQL来存储原始文档和元数据,文本的向量应用FAISS索引进行构建,进而开发了一个实用的电力运维智能问答系统。系统以Flask轻量级Web应用框架部署,实现在线自动问答,指导用户依据返回的答案开展电力运维工作。
A new intelligent question and answer platform for power system operation and maintenance knowledge is designed based on Baidu PaddlePaddle.Using natural language processing technology and FAISS as an indexing tool,SQL is used to store raw documents and metadata.The vector of text is constructed using FAISS indexing,and a practical intelligent Q&A system for power operation and maintenance is developed.The system is deployed using the Flask lightweight Web application framework to achieve online automatic Q&A,guiding users to carry out power operation and maintenance work based on the returned answers.
作者
卢英俊
罗赞琛
陆俊峰
高枫
LU Yingjun;LUO Zanchen;LU Junfeng;GAO Feng(China Southern Power Grid Co.,Ltd.Extra High Voltage Transmission Company Nanning Bureau,Nanning 530021,China)
出处
《电工技术》
2025年第12期153-155,共3页
Electric Engineering
关键词
电力行业
智能问答
NLP
自然语言分析
power industry
intelligent Q&A
NLP
natural language analysis
