摘要
以实际案例分析为切入点,提出了基于数据融合的电力设备运维策略优化方法。首先在现有电力设备运维方式下对案例事故的处理方法及流程进行了剖析,指出了其所存在的局限性。然后,对现有电力数据对于运维的辅助信息进行充分挖掘,通过强化各系统间数据交互性,基于数据融合方法对案例所涉及的运维系统进行了优化和改造。最后展示了在新运维方式下,案例事故在处理方法、处理流程、及处理时间上所展现的优势,论证了本文所提出的电力设备运维策略优化方法的可行性。
This paper takes the actual case analysis as the starting point,it proposes a strategy optimization method for operation and maintenance of power equipment based on data fusion.At first,this paper analyzes the treatment method and process of the accident case under the existing operation and maintenance mode of power equipment,and points out its limitations.Then,the auxiliary information of operation and maintenance is fully mined for the existing power data,and the operation and maintenance system involved in the accident case is optimized and reformed by strengthening the data interactivity between different systems and based on data fusion method.Finally,it shows the advantages of accident case treatment in treatment method,treatment process and treatment time under the new mode of operation and maintenance.And it also demonstrates the correctness and feasibility of the strategy optimization method for operation and maintenance of power equipment proposed in this paper.
作者
陆省明
胡春潮
张延旭
Lu Shengming;Hu Chunchao;Zhang Yanxu(Duyun Power Supply Bureau Guizhou Power Grid Co. Ltd.,Duyun,Guizhou 558000,China;Electric Power Research Institute of Guangdong Power Grid Co. Ltd.,Guangzhou,Guangdong 510080,China;China Southern Power Grid Key Laboratory of Power Grid Automation Laboratory,Guangzhou,Guangdong 510080,China)
出处
《云南电力技术》
2019年第3期37-40,共4页
Yunnan Electric Power
关键词
电力设备
数据融合
策略优化
运行
维护
power equipment
data fusion
strategy optimization
operation
maintenance
