基于数据挖掘的变电站设备缺陷信息统计系统
A Statistical System for Substation Equipment Defect Information Based on Data Mining
马振贺 1郑帆 1段然 1孙建文 1梁辰1
作者信息
- 1. 国网山东省电力公司泰安供电公司,山东 泰安 271000
- 折叠
摘要
针对变电站繁琐的设备记录和报表制作问题,设计了一种基于数据挖掘的变电站设备缺陷信息统计系统,介绍了系统整体架构,分析了变电站设备缺陷信息的数据挖掘过程.该系统可从输入的文本数据中挖掘出关键信息,实现智能匹配录入功能,同时支持一键智能生成周报表和月报表,帮助监控人员完成信息记录工作、提高工作效率的同时,推动变电站信息记录工作的智能化发展.
Abstract
To address the cumbersome equipment record and report production issues in substations,a statistical system for sub-station equipment defect information based on data mining is designed.The overall architecture of the system is introduced,and the data mining process for substation equipment defect information is analyzed.The system can extract key information from the input text data,achieve intelligent matching input function,and support one-click intelligent generation of weekly reports and monthly reports,which helps monitoring and control personnel complete information recording tasks,improves work efficiency,as well as promotes the intelligent development of information recording in substations.
关键词
数据挖掘/变电站设备/监控报表Key words
data mining/substation equipment/monitoring report引用本文复制引用
出版年
2024
NETL
NSTL
万方数据