摘要
为化解信息浪涌对计算机监控系统的冲击,通过分析报警信息的影响权重、内在联系、个性特征,采取配对检索、边界计算、变化率评估等数据分析处理方法,实施了优化报警、设置预警、组合报警等策略。该方法解决了报警过多、遗漏和识别困难等问题,为流域集控远程值班提供了技术保障,为其他单位开展大数据优化工作提供了经验参考。
In order to mitigate the impact of information surges on computer monitoring systems,data analysis and processing methods such as paired retrieval,boundary calculation,and rate of change evaluation were adopted by analyzing the impact weight,internal connections,and personality characteristics of alarm information.Strategies such as optimizing alarms,setting pre-alarms,and combining alarms were implemented.The method solves the problems of too many alarms,omissions and identification difficulties,provides technical support for remote duty of centralized control of the basin,and offers reference for other units to carry out big data optimization work.
作者
黄海军
HUANG Haijun(Huadian Yunnan Power Generation Co.,Ltd.,Kunming 650228)
出处
《电力安全技术》
2023年第7期47-51,共5页
Electric Safety Technology
关键词
大型水电站
大数据
计算机监控系统
专家系统
large hydropower stations
big data
computer monitoring system
expert system
