摘要
传统的电力系统操作票审核采用人工审核,审核效率低。随着深度学习技术的发展,自然语言处理技术能够高效、高质地处理文本和问题。应用文本深度学习向量化可解决传统操作票人工审核过程中存在的问题。文章针对文本深度学习向量化在电力系统操作票审核中的应用进行研究,以期提高审核效率。
The traditional power system operation check adopts manual check,and the check efficiency is low.With the development of deep learning technology,natural language processing technology can process texts and problems efficiently and with high quality.Applying text deep learning vectorization can solve the problems existing in the manual audit process of traditional operation tickets.This paper studies the Application of text deep learning vectorization in power system operation ticket audit,in order to improve the audit efficiency.
作者
段宇
孙载董
陈铁山
DUAN Yu;SUN Zaidong;CHEN Tieshan
出处
《电力系统装备》
2024年第3期11-13,38,共4页
Electric Power System Equipment
关键词
文本向量化
操作票
审核
text vectorization
operation ticket
auditing