风电新能源设备运维管理系统研究

Key Points

• The aim is to design an effective operation and maintenance management system for wind power equipment.
• Designed a system architecture incorporating data collection, transmission, storage, analysis, and application layers.
• Developed functional modules for equipment monitoring, fault diagnosis, and maintenance management.
• Utilized technologies such as IoT, big data, AI, and cloud computing for real-time monitoring and prediction.
• Proposed an integrated, intelligent operation model while enhancing personnel training management.
• Enabled real-time monitoring and fault prediction of equipment.
• Optimized maintenance practices resulting in lower operational costs.
• Provided a systematic solution for the safe and stable operation of wind power equipment.