Automatic blade tracking detection method and system based on fan model reconstruction

Abstract

The invention provides automatic blade tracking detection method and system based on fan model reconstruction. Blades of a fan are tracked and detected through an unmanned aerial vehicle; and a solid-state radar and a camera are loaded on the unmanned aerial vehicle. The automatic blade tracking detection method based on fan model reconstruction comprises the following steps of controlling the unmanned aerial vehicle to fly along a preset path so as to acquire a cloud of points of the fan through the solid-state radar and build a fan model; in the fan model, setting multiple path points on theside surface of each blade, and forming a detection flight path according to the path points; when the unmanned aerial vehicle flies along the detection flight path corresponding to one blade, reconstructing the fan model after acquiring a cloud of points of one blade and / or blade image information according to tracking detection; and controlling the unmanned aerial vehicle to track and detect the next blade according to the detection flight path in the reconstructed fan model. According to the automatic blade tracking detection method and the system based on fan model reconstruction provided by the invention, the accuracy of the fan model can be improved, and the efficiency on acquiring blade images during fan detection is further improved.

Description

technical field [0001] The invention relates to detection of blades of wind power generators, in particular to a blade automatic tracking detection method and system based on fan model reconstruction. Background technique [0002] A wind turbine is a power device that converts wind energy into mechanical work, which drives the rotor to rotate, and finally outputs alternating current. Wind turbines generally consist of components such as blades, generators, steering devices, towers, speed limiting safety mechanisms, and energy storage devices. [0003] During the long-term operation of the wind turbine, the surface of the blade will show various damages, such as damage to the protective film of the blade, peeling of the paint on the blade, freezing of the blade, cracks on the blade, and oil pollution on the blade. [0004] At present, when detecting damage on the surface of the blade, it is usually used to manually climb up the wind turbine for detection, which not only cons...

AI Technical Summary

Problems solved by technology

When the drone is loaded with a camera to work, it is necessary to model and analyze the wind turbine, so that it is convenient to control the drone to fly along the preset inspection path and realize the detection of damage on the wind turbine. However, the established wind power The aircraft models are all in error. When setting the waypoints to control the flight of the UAV through the wind turbine model, there is a situation where the UAV follows the wind turbine.

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