边缘计算赋能的风电螺栓力矩实时校验与校准方法及系统
By using edge computing and multi-source data fusion technology, the problems of sensor drift and operating condition changes in wind turbine bolt monitoring have been solved, enabling accurate real-time verification and calibration of the axial force of wind turbine bolts, thus improving the reliability and adaptability of the system.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- 成都风润新能科技有限公司
- Filing Date
- 2026-04-30
- Publication Date
- 2026-07-17
AI Technical Summary
Existing wind turbine bolt monitoring technologies cannot distinguish between sensor drift and actual loosening, and fixed thresholds cannot adapt to changes in operating conditions, resulting in inaccurate monitoring data and high operation and maintenance costs.
By employing edge computing, the friction coefficient and temperature compensation coefficient of the bolt are obtained through the tightening-loosening process. Combined with strain sensors and ultrasonic sensors, multi-source data fusion is performed to achieve real-time verification and calibration of axial force, including parameter calibration, synchronous acquisition, axial force calculation, drift discrimination, and dynamic verification steps.
It enables online identification of sensor status and accurate measurement of axial force, improving the reliability and adaptability of the monitoring system and reducing false alarm rate and maintenance costs.
Smart Images
Figure CN122149724B_ABST