摘要
随着广播电视事业的发展,监测台业务不断扩展,监测设备陆续增加,这对监测台电力系统的运行也提出更高的要求。简单地跟踪和人工检查,已经不能满足电力系统安全需求。如何快速准确地检查出电力系统存在的隐患和故障,降低故障的发生率,成为目前最需要解决的问题。采用数据挖掘技术,将电力系统故障数据进行分类、预测并对结果进行分析,提供可靠的参考资料,确保监测台电力系统的稳定运行。
With the development of radio and television industry,the business of the monitoring station has been expanding and the equipment has been increasing,which puts forward higher requirements for the operation of the power system of the monitoring station.Simple tracking and manual inspection can no longer meet the needs of power system security.How to check out the hidden trouble and fault of power system quickly and accurately?Reducing the incidence of failure has become the most important problem to be solved.In this paper,the data mining technology is used to classify and predict the fault data of power system,and the results are analyzed to provide reliable reference materials to ensure the stable operation of the power system of the monitoring station.
作者
张鲁宁
ZHANG Lu'ning(National Radio and Television Administrator, Xi'an Monitoring Station, Xi'an 710101, China)
出处
《中国有线电视》
2021年第4期404-406,共3页
China Digital Cable TV
关键词
数据挖掘
管理系统
电力自动化系统
data mining
management system
power automation system
