基于数据库日志的电力多维系统智能运维模型  

Intelligent operation and maintenance model of power multidimensional system based on database log

作　　者：宋景慧 胡春潮 SONG Jing-hui;HU Chun-chao(China Southern Power Grid Power Technology Co.,Ltd.,Guangzhou 510600,China)

机构地区：[1]南方电网电力科技股份有限公司,广州510600

出　　处：《信息技术》2022年第10期85-90,96,共7页Information Technology

基　　金：国家电网总公司科技项目(SGTYHY/19-JS-215)。

摘　　要：为提升电力多维系统运行稳定性,设计基于数据库日志的电力多维系统智能运维模型。通过基于数据块的关系数据库异常日志挖掘方法和基于异常分析的电力多维系统智能运维策略,完成电力多维系统异常事件挖掘与运维。在运维过程中,通过系统检修故障比,判断异常事件出现时系统的运维程度,获取电力多维系统智能运维最优策略,实现电力多维系统智能运维。实验结果显示:该模型能够有效挖掘电力多维系统中异常事件信息;系统故障比降低至3%以内,故障出现概率稳定在1%左右,并可降低检修电力多维系统的开销,提升电力多维系统运行稳定性。In order to improve the operation stability of multi-dimensional power system, an intelligent operation and maintenance model of multi-dimensional power system based on database log is designed. Through the data block based abnormal log mining method of relational database and the intelligent operation and maintenance strategy of power multi-dimensional system based on abnormal analysis, the abnormal event mining and operation and maintenance of power multi-dimensional system are completed. In the operation and maintenance process, the degree of operation and maintenance of the system when abnormal events occur is judged, the optimal strategy of intelligent operation and maintenance of power multi-dimensional system is obtained through the system maintenance failure ratio, which leads to the realization of intelligent operation and maintenance of power multi-dimensional system. The experiment results show that the model can effectively mine the abnormal event information in multi-dimensional power system;The system fault ratio is reduced to less than 3%, and the fault probability is stable at about 1%, which can reduce the maintenance cost of power multi-dimensional system and improve the operation stability of power multi-dimensional system.

关 键 词：数据库日志 电力多维系统 智能运维模型 异常事件 

分 类 号：TM76[电气工程—电力系统及自动化]