Research and Application of Power Emergency Multi-Source Data Fusion Technology

Abstract: By studying the application of multi-source data fusion technology in the field of electric power emergency, this paper proposes an electric power emergency data fusion application scheme that integrates extreme external disaster data, transmission and transformation equipment risk data, personnel, vehicles, materials, equipment and other emergency resource data, aiming at the risk emergency treatment of power transmission and transformation equipment. Through the data level fusion, feature level fusion and decision level fusion of all kinds of structured, semi-structured and unstructured information data, multi-source data fusion is realized in the emergency treatment of power transmission and transformation equipment risk auxiliary decision application.

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Publication Details

Published
2024-11-01
DOI
https://doi.org/10.1145/3717934.3717942
Primary Topic
Smart Grid and Power Systems
Type
article
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Research and Application of Power Emergency Multi-Source Data Fusion Technology

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Smart Grid and Power Systems
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Research and Application of Power Emergency Multi-Source Data Fusion Technology

Jingshi Li, Xiyuan Xu, Zehao Zhang, Jie Feng, Yan YongLu, Cheng Guan
article en

Abstract

Abstract: By studying the application of multi-source data fusion technology in the field of electric power emergency, this paper proposes an electric power emergency data fusion application scheme that integrates extreme external disaster data, transmission and transformation equipment risk data, personnel, vehicles, materials, equipment and other emergency resource data, aiming at the risk emergency treatment of power transmission and transformation equipment. Through the data level fusion, feature level fusion and decision level fusion of all kinds of structured, semi-structured and unstructured information data, multi-source data fusion is realized in the emergency treatment of power transmission and transformation equipment risk auxiliary decision application.

North China Electric Power University (CN), China Electric Power Research Institute
Affordable and clean energy
Openalex Percentile: Top 72%
Smart Grid and Power Systems
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