一种基于轻量级目标检测算法的双模态无人机叶片巡检方法及系统
By employing a dual-mode UAV blade inspection method, which utilizes the simultaneous acquisition of near-infrared and thermal imaging images and a lightweight detection model, the problems of low efficiency and poor accuracy in wind turbine blade inspection have been solved. This method enables real-time and accurate detection of small cracks, reduces the rate of missed detections and false detections, and optimizes inspection efficiency and safety.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CRRC WIND POWER(SHANDONG) CO LTD
- Filing Date
- 2026-04-13
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies for wind turbine blade inspection suffer from low efficiency, poor accuracy, and insufficient real-time performance. In particular, they are difficult to detect small cracks efficiently and accurately, and are prone to missed or false detections.
A dual-modal UAV blade inspection method based on a lightweight target detection algorithm is adopted. By combining the synchronous acquisition of near-infrared and thermal imaging images, pixel-level alignment, noise reduction feature enhancement, and a lightweight detection model, real-time and accurate blade inspection is achieved.
It enables efficient and accurate detection of micro-cracks in blades, reduces the rate of missed detections and false detections, optimizes inspection efficiency and safety, and reduces operation and maintenance costs.
Smart Images
Figure CN122049753B_ABST