基于大数据分析的电力通信光缆网故障诊断

Power Communication Cable Network Fault Diagnosis Based On Big Data Analysis

  • 摘要: 电力通信光缆网维护可利用大数据技术,对提供的海量数据进行采集、处理、存储、挖掘和分析,进而对传输OTN/IPRAN网开环故障作出判断。具体可依托一种基于大数据分析的环网结构的传输网络自动化智能预警系统实现,借助故障分析和逻辑判断实现智慧运维,降低运营成本,减少因故障而发生的业务中断次数。

     

    Abstract: The maintenance of power communication optical cable network can use big data technology to collect, process, store, mine and analyze the massive data provided, and then judge the open-loop fault of OTN/IPRAN transmission network. Specifically, it can be realized by relying on an automatic intelligent early warning system of transmission network with ring network structure based on big data analysis. With the help of fault analysis and logical judgment, it can realize intelligent operation and maintenance, reduce operating costs and reduce the number of business interruptions caused by faults.

     

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