Paper
25 April 2022 Research on defect diagnosis of power communication network based on edge computing
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Proceedings Volume 12244, 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022); 1224447 (2022) https://doi.org/10.1117/12.2635143
Event: 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022), 2022, Guilin, China
Abstract
The expansion of power communication network scale and the deployment of smart grid have brought massive data and computational pressure to operation and maintenance center. Edge computing technology can alleviate the pressure of the power grid management platform to process massive data and reduce the computational cost, and help the operation and maintenance personnel to efficiently complete the defect diagnosis and maintenance. Focusing on the operation and maintenance process of power communication network under the new ecology of edge computing, a technical scheme of power communication network defect diagnosis based on edge computing architecture and knowledge map technology is proposed. In order to improve the traditional rule-based defect diagnosis technology and improve its reliability and efficiency,The system combines a variety of intelligent methods to realize the defect diagnosis under the edge computing architecture, and realizes the timely detection and dispatch maintenance of defects through the analysis of equipment alarm logs and the tracking of network topology.
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Zhongchao Wu "Research on defect diagnosis of power communication network based on edge computing", Proc. SPIE 12244, 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022), 1224447 (25 April 2022); https://doi.org/10.1117/12.2635143
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KEYWORDS
Telecommunications

Clouds

Network architectures

Computer architecture

Data modeling

Data processing

Ecology

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