Research on Operation and Maintenance Monitoring and Fault Diagnosis of Offshore Wind Power Based on Internet of Things Technology
To enhance the capabilities of intelligent monitoring and fault diagnosis for offshore wind power equipment,this study presents a solution based on Internet of Things technology.The proposed system adopts a cloud-edge collaborative architecture,deploying multiple sensors in wind turbine assemblies to collect key data in real-time.By employing communication modules,it accomplishes the aggregation of heterogeneous data and integration with cloud platforms.Machine learning and other advanced technologies are utilized on the cloud platform to establish an automatic fault identification and diagnostic model.The results indicate that this method significantly improves monitoring precision and fault diagnostic efficiency while reducing the operational and maintenance costs of offshore wind power.
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