Research and applications on intelligent operations of cross-professional carrying network

Sai HAN; Dongyue ZHANG; Zelin WANG; Guangquan WANG; Ao LI; Qiukeng FANG; Hongbing MA

doi:10.11959/j.issn.1000-0801.2022269

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Research and applications on intelligent operations of cross-professional carrying network

Research and Development | 更新时间：2024-06-05

- Research and applications on intelligent operations of cross-professional carrying network
- Telecommunications Science Vol. 38, Issue 11, Pages: 113-122(2022)
- 作者机构：
  
  1. 中国联合网络通信有限公司研究院，北京 100048
  2. 中国联合网络通信有限公司广东省分公司，广东广州 510660
  3. 中国联合网络通信集团有限公司，北京 100032
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2022269
  CLC： TP393
- Published Online：2022-11，
  
  Published：20 November 2022
- 稿件说明：
移动端阅览
Sai HAN, Dongyue ZHANG, Zelin WANG, et al. Research and applications on intelligent operations of cross-professional carrying network[J]. Telecommunications science, 2022, 38(11): 113-122.
DOI：

Sai HAN, Dongyue ZHANG, Zelin WANG, et al. Research and applications on intelligent operations of cross-professional carrying network[J]. Telecommunications science, 2022, 38(11): 113-122. DOI： 10.11959/j.issn.1000-0801.2022269.

摘要

随着人工智能技术和网络日趋紧密地融合，未来网络的运营和生产应该是全面数字化、自动化和智能化的。目前跨专业网络故障定位主要依赖各专业运维人员分别进行分析和派单，导致排障时间长、重复派单等问题。为了节省人力工作，借助自动化和人工智能技术，研发了一套应用于实际现网的跨专业网络智能运维系统。该系统可对IPRAN和OTN关联的拓扑信息以及实时的IPRAN和OTN告警数据进行综合分析，精准定位根因告警，确定故障位置，实现自动派单。该系统构建了跨专业的故障自动诊断能力，将故障定位时间由传统的2 min缩短为几十毫秒，极大减少故障处理时间和人工工作，可覆盖现网大部分故障种类。

Abstract

With the increasingly close integration of artificial intelligence technology and networks

the operation and production of networks in the future should be fully digitalized

automated and intelligent.At present

fault locating of cross-professional network mainly relies on operation and maintenance staff of each professional network to analyze and dispatch orders

resulting in long trouble clearing time and repeated orders.In order to save manual work

with the help of automation and artificial intelligent technologies

a cross-professional network intelligent operation and maintenance system was developed and applied in real network.The associated topology information of IPRAN and OTN

along with the real-time IPRAN and OTN alarm data were analyzed

the root cause alarm was located accurately

the fault location was determined

and dispatch order was achieved automatically.A automatic cross-professional fault diagnosis capability was built by the system

which reduced the fault locating time from traditional two minutes to tens of milliseconds

therefore

the manual work was reduced by more than 90%

and 95% fault types of the existing network could be covered.

关键词

Keywords

references

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