Research on the Application of Power Internet of Things Based on 5G Technology

The power system is crucial to the economy, but traditional inspections are inefficient and risky. Therefore, this system combines 5G and drone technology to enhance inspection efficiency and accuracy. The system design includes an image transmission and diagnosis module. The image transmission module utilizes specific chips and 5G modules to achieve efficient video acquisition, encoding, and transmission. The image diagnosis module, through preprocessing and edge detection steps, accurately detects power line faults and uploads the diagnostic results in real-time to the cloud. This system improves inspection efficiency and accuracy, saves labor costs, reduces safety hazards, and has significant economic and social benefits.

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Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/ei264398.2024.10991790
Primary Topic
Power Systems and Renewable Energy
Type
article
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article

Research on the Application of Power Internet of Things Based on 5G Technology

Sun Bo, Xiaohong Chen, Junhong Li, Y. Shi
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Power Systems and Renewable Energy
article

Research on the Application of Power Internet of Things Based on 5G Technology

Sun Bo, Xiaohong Chen, Junhong Li, Y. Shi
article en

Abstract

The power system is crucial to the economy, but traditional inspections are inefficient and risky. Therefore, this system combines 5G and drone technology to enhance inspection efficiency and accuracy. The system design includes an image transmission and diagnosis module. The image transmission module utilizes specific chips and 5G modules to achieve efficient video acquisition, encoding, and transmission. The image diagnosis module, through preprocessing and edge detection steps, accurately detects power line faults and uploads the diagnostic results in real-time to the cloud. This system improves inspection efficiency and accuracy, saves labor costs, reduces safety hazards, and has significant economic and social benefits.

Shenyang Institute of Engineering (CN)
Openalex Percentile: Top 63%
Power Systems and Renewable Energy
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