一种风力发电机叶片水平识别检测方法及系统
By using portable acquisition terminals at mobile sensing stations and infrared video imaging technology, combined with compensation algorithms, efficient and accurate detection of wind turbine blade attitude and temperature distribution is achieved, solving the problem of low detection efficiency in existing technologies and providing early warning and stable operation assurance.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-21
- Publication Date
- 2026-07-17
AI Technical Summary
Existing methods for inspecting wind turbine blades are inefficient and make it difficult to achieve accurate non-contact inspections in high tower and rotating blade environments, especially in identifying blade attitude and temperature distribution.
Using a portable acquisition terminal at a mobile sensing station, non-contact detection of blade attitude and temperature distribution is achieved through infrared video image acquisition, pixel size calibration, time delay calculation, morphology recognition algorithm, and temperature distribution rules, combined with gravity, centrifugal force, and aerodynamic deformation compensation.
It enables efficient and accurate non-contact inspection of wind turbine blades, avoiding the risks of manual high-altitude inspections, providing early warnings, and reducing downtime for subsequent maintenance.
Smart Images
Figure CN121452126B_ABST
Abstract
Citation Information
Patent Citations
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