| Autor: |
Zhu Pengyu, Cai Xinzhong, Xu Shiyuan, Wu Jihua, Wang Jingyu |
| Jazyk: |
čínština |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
Dianzi Jishu Yingyong, Vol 47, Iss 4, Pp 30-35 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
0258-7998 |
| DOI: |
10.16157/j.issn.0258-7998.201347 |
| Popis: |
The expansion of the power communication network and the deployment of smart grids have brought massive amounts of data and calculation pressure to the operation and maintenance center. Edge computing can alleviate the pressure on the grid management platform to process massive amounts of data, reduce computing overhead, and assist operation and maintenance personnel efficiently complete fault diagnosis and maintenance. This paper proposed a power communication network fault diagnosis technical solution based on the edge computing architecture combined with the knowledge graph technology, will focus on the new ecology of edge computing in the power communication network. For improving the traditional rule-based technology and enhancing the reliability and efficiency, the system integrates a variety of intelligent methods to realize fault diagnosis under the edge computing architecture, and realizes timely detection of faults and dispatch maintenance through analysis of equipment alarms and network topology. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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