基于图像识别的风力发电风机桨叶缺陷定位方法分析  

Analysis of Defect Localization Method for Wind Turbine Blades in Wind Power Plants Based on Image Recognition

作　　者：刘帅[1] 王帆[1] 赵立英[1] LIU Shuai;WANG Fan;ZHAO Liying(Changchun Institute of Technology,Jilin 130012,China)

机构地区：[1]长春工程学院,吉林130012

出　　处：《电子技术（上海）》2024年第9期422-424,共3页Electronic Technology

基　　金：吉林省教育厅项目(JJKH20230712KJ)。

摘　　要：阐述一种基于图像识别的风力发电厂风机桨叶缺陷定位方法,通过高分辨率相机采集桨叶表面的图像,利用计算机视觉技术对图像进行处理和分析,实现对桨叶缺陷的自动识别和定位。实验结果表明,该方法能够在不同光照条件、不同角度和不同背景环境下有效地检测和定位桨叶缺陷。This paper describes an image recognition based method for locating defects in wind turbine blades in wind power plants. The method uses a high-resolution camera to capture images of the blade surface, and computer vision technology to process and analyze the images, achieving automatic recognition and localization of blade defects. The experimental results show that this method can effectively detect and locate blade defects under different lighting conditions, angles, and background environments.

关 键 词：图像识别 风机桨叶 缺陷定位方法 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TP18[自动化与计算机技术—计算机科学与技术] TM614[电气工程—电力系统及自动化]