Wind turbine blade outfield unmanned aerial vehicle double-light-source detection system and method

Abstract

The invention discloses a wind turbine blade outfield unmanned aerial vehicle double-light-source detection system. The system comprises an unmanned aerial vehicle, a visible light high-definition camera, an infrared light camera and a processing terminal; the unmanned aerial vehicle is provided with double pan-tilt systems which are respectively provided with a visible light high-definition camera and an infrared light camera; in a fan blade inspection process, the visible light high-definition camera is used for inspecting the surface of a blade, and the infrared camera is used for inspecting internal defects of the blade; the visible light high-definition camera and the infrared light camera output image and video data of double-light-source contrast inspection at the same time; the image and the video data are displayed on the pan-tilt systems in a split-screen mode at the same time. The invention further provides a wind power blade outfield unmanned aerial vehicle double-light-source detection method. With the wind turbine blade outfield unmanned aerial vehicle double-light-source detection system and method of the invention adopted, the blades of a wind turbine generator canbe efficiently and comprehensively inspected. Compared with a manual inspection scheme, the system and method have the advantages of low safety risk and higher reliability. With the system and methodadopted, the defect of the conventional inspection of an unmanned aerial vehicle is overcome.

Description

technical field [0001] The invention belongs to the technical field of wind power blade operation and maintenance monitoring, and in particular relates to a wind power blade outfield UAV dual light source detection system and method. Background technique [0002] Wind turbine blades are made of composite materials. After several years of operation, the blades will experience material and structural aging, mainly manifested as damage to the blades such as cracks and cracks. Blade inspection has become a link that cannot be ignored during the safe operation of in-service blades. [0003] Conventional blade inspection mainly includes the following methods: manual inspection, ground camera inspection and drone inspection. Among them, manual inspection requires manual use of aerial work platforms and drilling the inner cavity of the blade. This method is time-consuming and laborious. In addition, the inspection quality of the blade is greatly affected by personnel skills and qua...

AI Technical Summary

Problems solved by technology

Among them, manual inspection requires manual use of aerial work platforms and drilling the inner cavity of the blade for inspection. This method is time-consuming and laborious. In addition, the inspection quality of the blade is greatly affected by personnel skills and quality awareness. Generally, only 1 / 3 of the length of the blade can be checked

while other positions cannot be checked in place

However, using a camera to inspect on the ground cannot fully inspect each position of the blade. In addition, the inspection quality is affected by shooting skills, shooting angles, etc.

Conventional UAV inspections generally only use optical lenses. When controlling UAVs, the shooting is more affected by factors such as lighting, backlighting, and blade reflections.

In addition, the internal defects of the blade cannot be detected

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