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作 者:刘习义 龙林[1,2] 刘明辉 刘普森 肖雪 Liu Xiyi;Long Lin;Liu Minghui;Liu Pusen;Xiao Xue(Three Gorges Cascade Dispatch&Communication Center,Yichang 443002,China;Hubei Key Laboratory of Intelligent Yangtze and Hydroelectric Science,Yichang 443002,China)
机构地区:[1]三峡水利枢纽梯级调度通信中心,湖北宜昌443002 [2]智慧长江与水电科学湖北省重点实验室,湖北宜昌443002
出 处:《长江技术经济》2022年第4期95-100,共6页Technology and Economy of Changjiang
摘 要:随着电力数字化的快速发展,对电力调度通信网具备“万物”互联能力的要求不断提高,这不仅使整个网络变得复杂且庞大,其自身的运维难度也不断提高。如何有效利用其监控系统产生的海量告警信息,提升通信网络的运维、检修的有效性和精确性,是亟待解决的问题。利用海量历史告警数据分析了电力调度通信网的基本结构与特点,基于FP-Growth算法提出了一种电力调度通信网告警信息关联分析方法,构建告警信息挖掘模型,对某电厂某时段的历史告警数据进行分析验证,发掘到电力调度通信网具有强关联的告警信息规则。研究成果可为网络运维检修提供指导。With the rapid development of power digitalization,the requirements for the ability to interconnect “everything” in the power dispatch communication network are constantly increasing,which not only makes the entire network very complex and large,but also increases the difficulty of its own operation and maintenance. How to effectively use the massive alarm information generated by its monitoring system to improve the effectiveness and accuracy of the operation and maintenance of the communication network is an urgent problem to be solved. The basic structure and characteristics of power dispatch communication network are analyzed by using a large amount of historical alert data. Based on FP-Growth,a correlation analysis for the alert information of the power dispatch communication network is proposed to construct the warning information mining model. The historical warning data of a certain period of a power plant are analyzed,and the warning information of strong correlation in the power dispatch communication network is discovered. The research results provide guidance for network operation and maintenance.
关 键 词:电力调度 通信网 告警信息 关联分析 FP-GROWTH算法
分 类 号:TP311.1[自动化与计算机技术—计算机软件与理论]
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