Unmanned aerial vehicle inspection method, device and equipment for wind power blade detection

Abstract

The invention discloses an unmanned aerial vehicle inspection method for wind power blade detection, and the method is realized based on an unmanned aerial vehicle system, and the method comprises the steps: carrying out the photographing through a first unmanned aerial vehicle in the arrangement direction of a fan in response to a received inspection instruction; identifying the size of the fan displayed in the shot picture, and setting the fan with the largest display in the shot picture as an initial inspection point; after the sizes of the fans displayed in the shot picture are sorted in a descending order, extracting the number of the fans corresponding to an inspection preset value, and generating inspection paths according to the sequence based on the initial inspection points; enabling the first unmanned aerial vehicle to send GPS position information corresponding to each inspection point to the second unmanned aerial vehicle after confirming a first distance above a fan corresponding to each inspection point in the inspection path; and enabling the second unmanned aerial vehicle to shoot each fan according to the generation sequence of the routing inspection path according to the received GPS position information so as to obtain a thermal imaging image of each fan blade.

Description

Technical field [0001] The present invention relates to the field of wind turbines, and more particularly to a drone patrol method and apparatus and apparatus for wind-moving blades detection. Background technique [0002] Wind energy is an important renewable energy. With the expansion of my country's wind energy market, the wind turbine manufacturing gradually entered a rapid development period. The life and safety of wind turbines affect wind power utilization and development, fan blades are core components of wind turbines, their life and safety directly affect the life and security of the entire wind turbine. Since the wind farm operates more complicated, the wind turbine blade is running all-weather in high-altitude, long-term receiving wind, pollution, lightning strikes, and typhoon, the fan blade is prone to defects and gradually expands. If it is not possible to find the fan blade defect, will It directly affects the load and stiffness matrix, which ultimately reducing t...

AI Technical Summary

Problems solved by technology

Due to the complex operating environment of the wind farm, the wind turbine blades operate at high altitude around the clock, and are affected by various factors such as wind and sand, pollution, lightning strikes and typhoons for a long time. The wind turbine blades are prone to defects and gradually expand. If the defects of the wind turbine blades are not found in time, it will be Directly affects the load and stiffness matrix, ultimately reducing blade life and operational safety

[0003] At present, the inspection of the fan blades is controlled by manual operation during the flight process of the UAV. It is easy to hit the fan and cause damage to the UAV and increase the damage to the surface of the fan blade. Moreover, due to the limitation of personnel operation technology, the fan cannot be inspected. The blades are photographed in all directions, resulting in missing shots and reducing the accuracy of inspections

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