电信科学 ›› 2015, Vol. 31 ›› Issue (11): 166-173.doi: 10.11959/j.issn.1000-0801.2015309

• 运营技术广角 • 上一篇    下一篇

基于大数据处理技术的电力通信网检修工作分析方法

杨志敏,吴斌,舒然   

  1. 中国南方电网电力调度控制中心 广州510623
  • 出版日期:2015-11-20 发布日期:2015-12-14

Maintenance Analysis Method Based on Big Data Processing Technology in Power Telecommunication Network

Zhimin Yang,Bin Wu,Ran Shu   

  1. Power Dispatching Control Center of China Southern Power Grid,Guangzhou 510623,China
  • Online:2015-11-20 Published:2015-12-14

摘要:

分析了电力通信网设备检修、告警及台账数据的特点,并采用属性规约和聚类完成对数据的预处理工作。提出了设备检修工作分析所需的相关指标及影响因素,并结合MapReduce技术和Apriori算法提出了数据挖掘方法。运用该方法对实际的网络数据进行了挖掘,并根据挖掘结果,从检修工作分布情况、检修对业务的影响、检修耗时等角度分析通信网的检修工作情况。

关键词: 电力通信网, 大数据技术, 检修, 数据预处理, 数据挖掘

Abstract:

The characteristics of power communication network equipment's maintenance,alarm and asset data were analyzed,and then the data preprocessing work was done by adopting attributes reduction and clustering method.The related index and influencing factors required by the analysis of equipment repair work were proposed.Meanwhile,the data mining method which combines the techniques of MapReduce and Apriori algorithms was presented.Finally,the proposed data mining method was applied to mine the actual network data.According to the mined results,the network maintenance work was analyzed from the perspectives of maintenance distribution,maintenance effectiveness on operated service,maintenance time-cost and so forth.

Key words: power telecommunication network, big data technology, maintenance, data preprocessing, data mining

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