AI-Assisted Failure Location Platform for Optical Network

IF 1.8 4区物理与天体物理 Q3 OPTICS

International Journal of Optics Pub Date : 2023-02-01 DOI:10.1155/2023/1707815

Pengcheng Liu, W. Ji, Qiang Liu, X. Xue

引用次数: 2

Abstract

In the paper, we applied the customized AI module to the OTDR device and, combined with the optical power monitoring module, realized the AI-assisted optical network fault location mechanism for the high-density interconnection scenario of data centers. The mechanism can make full use of the data from optical links. Based on the link data, the AI module can predict the links that may fail, and then the target links will be monitored by the optical power module. The mechanism can quickly locate and respond to faulty links. Through the test, the introduction of an AI model can improve the average fault detection efficiency of the link by 98.41%.

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人工智能辅助光网络故障定位平台

本文将定制的AI模块应用到OTDR设备上，结合光功率监测模块，实现了数据中心高密度互联场景下AI辅助光网络故障定位机制。该机制可以充分利用光链路的数据。AI模块根据链路数据预测可能出现故障的链路，然后由光功率模块对目标链路进行监控。该机制可以快速定位并响应故障链路。通过测试，人工智能模型的引入可以将链路的平均故障检测效率提高98.41%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Optics Physics and Astronomy-Atomic and Molecular Physics, and Optics

CiteScore

3.40

自引率

5.90%

发文量

审稿时长

13 weeks

期刊介绍： International Journal of Optics publishes papers on the nature of light, its properties and behaviours, and its interaction with matter. The journal considers both fundamental and highly applied studies, especially those that promise technological solutions for the next generation of systems and devices. As well as original research, International Journal of Optics also publishes focused review articles that examine the state of the art, identify emerging trends, and suggest future directions for developing fields.