Wind power blade detecting system

Abstract

The invention discloses a wind power blade detecting system. The wind power blade detecting system comprises a wind generator core blade, an unmanned aerial vehicle, an image acquisition and transmission system and a data processing system, wherein the unmanned aerial vehicle and the wind generator core blade are in monitoring and detecting connection; the unmanned aerial vehicle is connected witha background command system through the image acquisition and transmission system and the data processing system; the unmanned aerial vehicle system comprises a rotor-type unmanned aerial vehicle, ameasurement and control data chain and a ground control terminal, achieves positioning flight and precise hovering in a wind farm, and forms a close-range detection platform in the air for the blade.The wind power blade detecting system detects a main part prone to a failure in the power generation process of a fan, so that the purposes of regularly maintaining and repairing the fan are achieved,the accident rate of the fan is reduced and the service life of equipment is prolonged.

Description

technical field [0001] The invention relates to the technical field of wind power generation detection, and in particular to a wind power blade detection system. Background technique [0002] It is generally believed that the fatigue damage of wind turbine blades begins with the growth of extremely small cracks, and when they are locally concentrated at the junction of the interior of the adhesive layer and the blade skin, it will eventually lead to cracking of the blade and skin fracture. Because wind turbine blades often operate for a long time under the conditions of variable torque, yaw, shutdown, start-up, etc., the complex random load distribution and severe field weather conditions increase the difficulty of local stress calculation, and it is easy to cause the blades to be damaged due to alternating loads. The resulting fatigue failure leads to deterioration of blade health. Therefore, it is necessary to monitor the cracks of wind turbine blades in real time, analyz...

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Problems solved by technology

[0003] At present, the inspection and detection methods for blades in my country are still relatively primitive. The main detection methods are appearance inspections by means of ground telescopes or ground photography. The above detection methods are not only inefficient, but also cannot detect fan blades intuitively, comprehensively and accurately. There is also no good preservation of historical data for comparison

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