基于大数据分析的PON光路智能运维系统研究

Research on Intelligent Operation and Maintenance System of PON Optical Path Based on Big Data Analysis

随着FTTH用户规模增长,PON光路故障处理低效,尤其ODN网络不可视,不可管理,需要维护人员上站处理,借助仪器仪表进行故障判断,已经成为PON光路故障定位的难点和痛点。课题研究通过对现有网管数据进行采集,大数据分析,推测还原PON光路网络拓扑,实现PON光路可视化、可远程管理。同时让系统具备自学习能力,可以进行拓扑自我修正和完善。利用课题研究思路和方案原理,开发PON光路智能运维系统,对PON光路故障进行快速定位,提升PON光路故障运维能力。

As the scale of FTTH users grows, PON optical path fault handling is inefficient, especially the ODN network is invisible and unmanageable, requiring maintenance personnel to go to the station to deal with the fault, and use instrumentation to perform fault diagnosis, which has become a difficulty and pain point in PON optical path fault location. The subject research through the collection of existing network management data, big data analysis, inferred to restore the PON optical path network topology, to achieve PON optical path visualization and remote management. At the same time, the system has the ability of self-learning, and can perform topology self-correction and improvement. Using subject research ideas and program principles, develop a PON optical path intelligent operation and maintenance system to quickly locate PON optical path faults and improve PON optical path fault operation and maintenance capabilities.