5G Network Edge Intelligence for Smart Operation and Maintenance of Offshore Wind Power

As global offshore wind power advances toward deeper, farther waters, harsh Operation and Maintenance (O&M) environments, equipment heterogeneity, and flaws in existing communication (e.g., insufficient 4G bandwidth, high-latency/cost satellite communication) drive the urgent need for intelligent O&M. This paper expounds on the development of Far-Reaching Sea Smart Wind Farms and intelligent service communication demands, studies 5G deployment schemes (hybrid networking, frequency selection, in-turbine coverage, 5G custom networks) and practical cases, discusses core edge intelligence applications (equipment monitoring, inspection, fault diagnosis, digital twin integration), and constructs a "terminal-edge-cloud-network" 5G-edge intelligence integrated architecture. It also summarizes key technology effects, points out current challenges, and looks forward to lightweight large language model deployment at the edge, providing references for 5G edge intelligence implementation in offshore wind power intelligent O&M.

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Publication Details

Journal
Sensors
Published
2026-02-23
DOI
https://doi.org/10.3390/s26041390
Primary Topic
Machine Fault Diagnosis Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

5G Network Edge Intelligence for Smart Operation and Maintenance of Offshore Wind Power

Yuqing Gao, C. H. Jiang, Fangmin Xu, Shaonan You et al.
Sensors
Machine Fault Diagnosis Techniques
article

5G Network Edge Intelligence for Smart Operation and Maintenance of Offshore Wind Power

Yuqing Gao, C. H. Jiang, Fangmin Xu, Shaonan You, Haoyu Wang, Xialiang Zhu, Lingang Yang
article en

Abstract

As global offshore wind power advances toward deeper, farther waters, harsh Operation and Maintenance (O&M) environments, equipment heterogeneity, and flaws in existing communication (e.g., insufficient 4G bandwidth, high-latency/cost satellite communication) drive the urgent need for intelligent O&M. This paper expounds on the development of Far-Reaching Sea Smart Wind Farms and intelligent service communication demands, studies 5G deployment schemes (hybrid networking, frequency selection, in-turbine coverage, 5G custom networks) and practical cases, discusses core edge intelligence applications (equipment monitoring, inspection, fault diagnosis, digital twin integration), and constructs a "terminal-edge-cloud-network" 5G-edge intelligence integrated architecture. It also summarizes key technology effects, points out current challenges, and looks forward to lightweight large language model deployment at the edge, providing references for 5G edge intelligence implementation in offshore wind power intelligent O&M.

SensorsVol. 26(4)
Beijing University of Posts and Telecommunications (CN), PowerChina (China) (CN), Powerchina Huadong Engineering Corporation (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 48%
Machine Fault Diagnosis Techniques
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