Insulation state evaluation method and system for wind farm pipe bus system based on multi-modal data fusion
By using a multimodal data fusion evaluation method, multi-source heterogeneous data is acquired in real time and jointly calculated, which solves the problem of insufficient sensitivity in the insulation status assessment of the wind farm main system, realizes early warning and accurate assessment, and reduces the risk of unplanned outages of wind farms.
Patent Information
- Application Number
- CN202610658733.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-05-13
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies cannot effectively integrate multi-dimensional features such as environmental stress, electrical parameters, and mechanical condition, resulting in insufficient sensitivity of the wind farm main system insulation condition assessment model in identifying early signs of faults and a high false alarm rate, making it impossible to conduct accurate assessments and early warnings in complex environments.
By acquiring multi-source heterogeneous data, performing time synchronization and spatial normalization processing, extracting multi-dimensional features, and using a multi-modal fusion evaluation model for joint calculation, a comprehensive state index is output, generating an early warning signal.
It enables accurate assessment of the insulation status of the wind farm main system, reduces the risk of unplanned outages, improves power generation efficiency and grid security, and reduces operation and maintenance costs.
Smart Images
Figure CN122410231A_ABST