Design and application of intelligent edge terminals

With the continuous development of 5G technology and the large-scale connection of new energy, traditional power terminals can no longer meet new business needs such as real-time energy and refined load management of electricity users. Therefore, based on the business needs of major scenarios such as smart home appliances, smart buildings, and smart parks, this paper carries out the development of intelligent edge terminals (IEU), realizing high-frequency collection of massive energy consumption data based on 5G communication technology. It introduces D2D technology to build communication links between terminals, which further enhances data transmission rate. At the same time, it realizes load identification and load prediction based on the edge computing capabilities. It also realizes real-time regulation and management of load resources to achieve intelligent monitoring of electrical equipment.

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Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1109/eiecc64539.2024.10929597
Primary Topic
Diverse Education and Engineering Focus
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article
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Design and application of intelligent edge terminals

Enguo Zhu, Yan Liu
Diverse Education and Engineering Focus
article

Design and application of intelligent edge terminals

Enguo Zhu, Yan Liu
article en

Abstract

With the continuous development of 5G technology and the large-scale connection of new energy, traditional power terminals can no longer meet new business needs such as real-time energy and refined load management of electricity users. Therefore, based on the business needs of major scenarios such as smart home appliances, smart buildings, and smart parks, this paper carries out the development of intelligent edge terminals (IEU), realizing high-frequency collection of massive energy consumption data based on 5G communication technology. It introduces D2D technology to build communication links between terminals, which further enhances data transmission rate. At the same time, it realizes load identification and load prediction based on the edge computing capabilities. It also realizes real-time regulation and management of load resources to achieve intelligent monitoring of electrical equipment.

North China Electric Power University (CN), China Electric Power Research Institute
Openalex Percentile: Top 60%
Diverse Education and Engineering Focus
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Design and application of intelligent edge terminals — Enguo Zhu, Yan Liu · (2024) | TGRS Research Map | TGRS