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

TL;DR

This paper explores how 5G edge intelligence can improve offshore wind farm maintenance in challenging environments.

Contribution

The paper introduces a 5G-edge intelligence architecture for offshore wind power O&M and discusses practical deployment schemes.

Findings

5G deployment schemes like hybrid networking and frequency selection are studied for offshore wind farms.

Edge intelligence applications such as equipment monitoring and fault diagnosis are explored.

A 'terminal-edge-cloud-network' integrated architecture is proposed for intelligent offshore wind O&M.

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.

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