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Intelligent Operation and Maintenance Knowledge Graph in Electric-Power Industry: Construction and Applications

Authors:

Chao Ma,

Yin Liu,

Yiyou YuanAuthors Info & Claims

ICCDA '22: Proceedings of the 2022 6th International Conference on Compute and Data Analysis

Pages 100 - 104

https://doi.org/10.1145/3523089.3523105

Published: 23 May 2022 Publication History

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Abstract

As the basic support for the efficient operation and maintenance of the production and management information business in the electric-power industry such as State Grid Corporation of China (short for State Grid), the construction, operation and maintenance of data centers at all levels have always been the key tasks. Recent years have witnessed many approaches to solve the intelligent operation and maintenance problems for complex network systems in all level data centers of electric-power industry. However, most existing methods utilized the operation and maintenance data in a common way, which might ignore the specialization and particularity of data in State Grid. To address this problem, in this paper, firstly, we described the main problems of existing intelligent operation and maintenance systems. Secondly, we proposed the construction method of intelligent operation and maintenance knowledge graph for cloud data center in State Grid. Finally, we proposed decision analysis and information scheduling methods for intelligent operation and maintenance based on knowledge graph in State Grid.

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Cited By

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Gai ZKuang LTian LZhou K(2024)A Knowledge Graph Automatic Construction Approach for Intelligent Operation of Cloud-Network Environment2024 IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA)10.1109/ISPA63168.2024.00253(1856-1862)Online publication date: 30-Oct-2024
https://doi.org/10.1109/ISPA63168.2024.00253

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ICCDA '22: Proceedings of the 2022 6th International Conference on Compute and Data Analysis

February 2022

131 pages

ISBN:9781450395472

DOI:10.1145/3523089

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 23 May 2022

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ICCDA 2022: 2022 The 6th International Conference on Compute and Data Analysis

February 25 - 27, 2022

Shanghai, China

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Gai ZKuang LTian LZhou K(2024)A Knowledge Graph Automatic Construction Approach for Intelligent Operation of Cloud-Network Environment2024 IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA)10.1109/ISPA63168.2024.00253(1856-1862)Online publication date: 30-Oct-2024
https://doi.org/10.1109/ISPA63168.2024.00253

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Roadmap on Industrial Knowledge System for Data-Oriented Intelligent Operation and Maintenance in Chinese Power Industry

Intelligent Operation and Maintenance Schedule System Based on Knowledge Graph: Construction and Applications

A BERT-based Framework for Production Line Fault Maintenance Knowledge Graph Construction

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