Research and practice of PON fault intelligent detection and recovery technology
Based on current situation that PON network faults are mainly processed around the user account password and terminal problems,and all the complex phenomena and network issues involved are sent to the operation and maintenance department,leading to low failure processing efficiency and high treatmen...
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2016-09-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016235/ |
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| author | Qi YU Yanbin SHI Shipeng QIU |
| author_facet | Qi YU Yanbin SHI Shipeng QIU |
| author_sort | Qi YU |
| collection | DOAJ |
| description | Based on current situation that PON network faults are mainly processed around the user account password and terminal problems,and all the complex phenomena and network issues involved are sent to the operation and maintenance department,leading to low failure processing efficiency and high treatment pressure,an end-to-end fault diagnosis and repair method was proposed based on the customer resource tree.Through adopting big data analysis technology and service capability opening technology,an end-to-end fault detection system from service platform to client terminals was built and fault phenomena,conclusions and treatment methods of the nodes in the resource tree were combed,and fault processing scenarios were listed to verify the accuracy of fault detection and fast recovery.The result shows that the failure interception efficiency is improved by 34%. |
| format | Article |
| id | doaj-art-4a1f851cddce437cbba6f597bd7551bc |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2016-09-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-4a1f851cddce437cbba6f597bd7551bc2025-01-15T03:14:10ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012016-09-013213213859606745Research and practice of PON fault intelligent detection and recovery technologyQi YUYanbin SHIShipeng QIUBased on current situation that PON network faults are mainly processed around the user account password and terminal problems,and all the complex phenomena and network issues involved are sent to the operation and maintenance department,leading to low failure processing efficiency and high treatment pressure,an end-to-end fault diagnosis and repair method was proposed based on the customer resource tree.Through adopting big data analysis technology and service capability opening technology,an end-to-end fault detection system from service platform to client terminals was built and fault phenomena,conclusions and treatment methods of the nodes in the resource tree were combed,and fault processing scenarios were listed to verify the accuracy of fault detection and fast recovery.The result shows that the failure interception efficiency is improved by 34%.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016235/faultdetectionfaultdiagnosisfaultrecoverycustomerresourcetree |
| spellingShingle | Qi YU Yanbin SHI Shipeng QIU Research and practice of PON fault intelligent detection and recovery technology Dianxin kexue faultdetection faultdiagnosis faultrecovery customerresourcetree |
| title | Research and practice of PON fault intelligent detection and recovery technology |
| title_full | Research and practice of PON fault intelligent detection and recovery technology |
| title_fullStr | Research and practice of PON fault intelligent detection and recovery technology |
| title_full_unstemmed | Research and practice of PON fault intelligent detection and recovery technology |
| title_short | Research and practice of PON fault intelligent detection and recovery technology |
| title_sort | research and practice of pon fault intelligent detection and recovery technology |
| topic | faultdetection faultdiagnosis faultrecovery customerresourcetree |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016235/ |
| work_keys_str_mv | AT qiyu researchandpracticeofponfaultintelligentdetectionandrecoverytechnology AT yanbinshi researchandpracticeofponfaultintelligentdetectionandrecoverytechnology AT shipengqiu researchandpracticeofponfaultintelligentdetectionandrecoverytechnology |