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5G Network Edge Intelligence for Smart Operation and Maintenance of Offshore Wind Power
Yuqing Gao1, Lingang Yang1, Xialiang Zhu1
1PowerChina Huadong Engineering Corporation Limited, Hangzhou 311100, China.
Sensors (Basel, Switzerland)
|February 27, 2026
Summary
Intelligent operation and maintenance (O&M) is crucial for offshore wind farms. This study explores 5G-edge intelligence architectures to overcome communication challenges and enhance O&M efficiency in harsh marine environments.
Area of Science:
- Renewable Energy Systems
- Telecommunications Engineering
- Artificial Intelligence
Background:
- Offshore wind power expansion into deeper waters presents significant Operation and Maintenance (O&M) challenges.
- Existing communication infrastructure (4G, satellite) is inadequate for intelligent O&M due to bandwidth, latency, and cost limitations.
- The need for robust, high-speed communication is critical for advanced monitoring and control in remote offshore environments.
Purpose of the Study:
- To address the intelligent service communication demands for Far-Reaching Sea Smart Wind Farms.
- To investigate and propose effective 5G deployment schemes tailored for offshore wind farm O&M.
- To develop an integrated 5G-edge intelligence architecture for enhanced offshore wind farm operations.
Main Methods:
- Analysis of various 5G deployment strategies including hybrid networking, frequency selection, and in-turbine coverage.
- Study of practical use cases and core edge intelligence applications such as equipment monitoring, inspection, and fault diagnosis.
- Construction of a comprehensive "terminal-edge-cloud-network" 5G-edge intelligence integrated architecture.
Main Results:
- Evaluation of key technology effects and practical implementation cases for 5G in offshore wind O&M.
- Demonstration of edge intelligence applications enhancing equipment monitoring, predictive maintenance, and digital twin integration.
- Identification of the benefits of a unified "terminal-edge-cloud-network" architecture for seamless data flow and processing.
Conclusions:
- 5G-edge intelligence offers a viable solution to overcome communication barriers in offshore wind farm O&M.
- The proposed integrated architecture effectively supports advanced intelligent services, improving operational efficiency and reliability.
- Future research should focus on lightweight large language model deployment at the edge for further O&M advancements.
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