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1.中国电信股份有限公司研究院,北京 102209
2.中国电信股份有限公司,北京 100033
[ "杨刚刚(1982- ),男,中国电信股份有限公司研究院工程师,主要研究方向为光传送网络智慧运营、云网自智、数字孪生等。" ]
[ "邵珠贵(1991- ),男,中国电信股份有限公司研究院工程师,主要研究方向为光传送网络管控技术、自智网络等。" ]
[ "尚逢亮(1980- ),男,中国电信股份有限公司高级工程师,主要研究方向为全光网智慧运营场景解决方案、网络管控技术、数字孪生技术等。" ]
[ "许健荣(1978- ),男,中国电信股份有限公司研究院工程师,主要研究方向为光传送网络管控技术。" ]
[ "刘翠(1984- ),女,中国电信股份有限公司工程师,主要研究方向为光传送网络采控技术。" ]
收稿日期:2024-01-08,
修回日期:2024-03-14,
纸质出版日期:2024-03-20
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杨刚刚,邵珠贵,尚逢亮等.知识图谱在光传送网络智能运维中的应用研究[J].电信科学,2024,40(03):136-146.
YANG Ganggang,SHAO Zhugui,SHANG Fengliang,et al.Research on the application of knowledge graph in intelligent operation and maintenance for optical transport network[J].Telecommunications Science,2024,40(03):136-146.
杨刚刚,邵珠贵,尚逢亮等.知识图谱在光传送网络智能运维中的应用研究[J].电信科学,2024,40(03):136-146. DOI: 10.11959/j.issn.1000-0801.2024074.
YANG Ganggang,SHAO Zhugui,SHANG Fengliang,et al.Research on the application of knowledge graph in intelligent operation and maintenance for optical transport network[J].Telecommunications Science,2024,40(03):136-146. DOI: 10.11959/j.issn.1000-0801.2024074.
为了解决光传送网络传统运维模式成本高、效率低、智能程度弱等问题,分析了知识图谱技术在电信行业的研究现状以及面临的挑战。首先,提出了基于知识图谱的光传送网络智能运维系统架构,重点研究了网络状态感知、知识图谱构建、搜索能力开放等关键技术以及典型应用场景;然后,以智能割接在中国电信某市分公司的应用为案例,对其应用成效进行了分析,测试表明智能割接上线后,整体割接效率提升了约3倍;最后,对基于知识图谱的光传送网络智能运维发展趋势进行了展望。
In order to solve the problems of high cost
low efficiency
and weak intelligence in the traditional operation and maintenance mode of optical transport networks
the research status and challenges of knowledge graph technology in the telecom industry were analyzed. Firstly
an intelligent operation and maintenance system architecture for optical transport networks based on knowledge graphs were proposed. Key technologies such as network state perception
knowledge graph construction
and open search capabilities were emphatically studied. Secondly
the application of intelligent cutover in a city branch of China Telecom was taken as an example
the application effect was analyzed
and the test showed that the cutover efficiency was improved by about 3 times. Finally
the development trend of intelligent operation and maintenance of optical transmission networks based on knowledge graphs was discussed.
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