Video-based method for identifying defect of main component of wind turbine generator

Abstract

The invention discloses a video-based method for identifying defects of main components of a wind turbine generator. The method comprises the following steps of S1, integrating an embedded system intoa camera, and finishing equipment defect identification work by utilizing the embedded system; S2, transplanting an OpenCV function library into the embedded system for running, cutting the OpenCV function library, and reserving an ffmpeg library with a video conversion function and a v4l2 video protocol library. According to the invention, the OpenCV function library is transplanted to the embedded system, the embedded system is integrated into the camera, the embedded system is utilized to complete equipment defect identification work, detection of a smoke motion part is based on an image difference method, equipment defects can be discovered in time and sent to a client, operation and inspection personnel are reminded to deal with equipment defects in time, equipment faults are prevented, and the defect that the real-time performance of manual inspection equipment defects is poor is overcome.

Description

technical field [0001] The present invention relates to the technical field of detection of wind turbines, and more specifically, to a method for identifying defects of main components of wind turbines based on video. Background technique [0002] With the increasingly prominent energy and environmental issues, countries around the world are turning more attention to renewable energy. Among them, wind energy, because of its own advantages, as an important category of renewable energy, has huge reserves, renewable, wide distribution, and unlimited energy. Due to the characteristics of pollution, it has become a clean energy that is generally welcomed around the world. Wind power has become the renewable energy power generation method with the most large-scale development conditions and commercial development prospects. Wind turbines are the source of wind power generation, and their defects directly affect the efficiency of wind power generation and the safe and stable opera...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is in order to solve the shortcoming that exists in the prior art, and proposes a kind of defect identification method based on the wind turbine main part of the video, by transplanting the OpenCV function library to the embedded system, and integrating this kind of embedded system In the camera, use the embedded system to complete the identification of equipment defects. In the embedded system, the detection of the moving part of the smoke is based on the image difference method, which can be accurately judged, and the equipment defects can be found in time and sent to the client to remind the operator Inspection personnel deal with equipment defects in a timely manner to prevent equipment failures, and solve the disadvantages of poor real-time performance of manual inspection equipment defects

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