Yang Cao
ABSTRACT
At present, wind turbine inspection mainly relies on manual inspection, there are low efficiency, high cost, high risk and other defects, there is an urgent need for intelligent inspection methods to improve efficiency. To this end, a system for wind turbine inspection is designed. The system consists of hybrid UAV equipment equipped with image recognition, precise positioning, intelligent obstacle avoidance, autonomous cruise and other modules. Using the U-Net surface defect detection method based on the parallel attention mechanism and the exposure correction of double illumination estimation for the defect recognition on the surface of wind turbine tower and the detection of wind turbine blade; based on the YOLOv4-tiny network to realise the obstacle recognition; the positioning system adopts the RTK carrier phase difference method to realise the target of centimetre level of positioning accuracy; the system has a better accuracy and efficiency of detection and achieves unmanned and intelligent cruising. The system has a good performance in terms of detection accuracy and efficiency, realises unmanned and intelligent inspection, and makes up for the drawbacks of the inspection of wind turbine units. Experiments show that the system can achieve the purpose of inspection of wind turbines, and its design ideas can also provide a reference for the inspection programme of other equipment.
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Index Terms
- Design and application of unmanned aircraft inspection system for wind turbinesA UAV inspection system for wind turbines to improve inspection efficiency and safety
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