AI-Assisted Failure Location Platform for Optical Network
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 fr...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
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| Series: | International Journal of Optics |
| Online Access: | http://dx.doi.org/10.1155/2023/1707815 |
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| _version_ | 1832551185781882880 |
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| author | Pengcheng Liu Wei Ji Qiang Liu Xuwei Xue |
| author_facet | Pengcheng Liu Wei Ji Qiang Liu Xuwei Xue |
| author_sort | Pengcheng Liu |
| collection | DOAJ |
| description | 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%. |
| format | Article |
| id | doaj-art-5b3cf666d6f343ca8dfe8c4e8fd0b89a |
| institution | Kabale University |
| issn | 1687-9392 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Optics |
| spelling | doaj-art-5b3cf666d6f343ca8dfe8c4e8fd0b89a2025-02-03T06:04:46ZengWileyInternational Journal of Optics1687-93922023-01-01202310.1155/2023/1707815AI-Assisted Failure Location Platform for Optical NetworkPengcheng Liu0Wei Ji1Qiang Liu2Xuwei Xue3School of Information Science and EngineeringSchool of Information Science and EngineeringSchool of Information Science and EngineeringSchool of Electronic EngineeringIn 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%.http://dx.doi.org/10.1155/2023/1707815 |
| spellingShingle | Pengcheng Liu Wei Ji Qiang Liu Xuwei Xue AI-Assisted Failure Location Platform for Optical Network International Journal of Optics |
| title | AI-Assisted Failure Location Platform for Optical Network |
| title_full | AI-Assisted Failure Location Platform for Optical Network |
| title_fullStr | AI-Assisted Failure Location Platform for Optical Network |
| title_full_unstemmed | AI-Assisted Failure Location Platform for Optical Network |
| title_short | AI-Assisted Failure Location Platform for Optical Network |
| title_sort | ai assisted failure location platform for optical network |
| url | http://dx.doi.org/10.1155/2023/1707815 |
| work_keys_str_mv | AT pengchengliu aiassistedfailurelocationplatformforopticalnetwork AT weiji aiassistedfailurelocationplatformforopticalnetwork AT qiangliu aiassistedfailurelocationplatformforopticalnetwork AT xuweixue aiassistedfailurelocationplatformforopticalnetwork |