基于红外成像太阳能板缺陷检测方法研究  

Research and Method of Defect Detection of Solar Panels Based on Infrared Imaging

作　　者：王亚丽[1] 孙坚[1] 徐红伟[1] 

机构地区：[1]中国计量学院机电工程学院,浙江杭州310018

出　　处：《测控技术》2015年第7期59-61,66,共4页Measurement & Control Technology

基　　金：中国计量学院重中之重学科学生开放实验项目(JL130207)

摘　　要：设计一种基于红外热像技术进行太阳能光伏板缺陷检测和分类的方法。设计了由黑箱、红外热像仪、模拟光源和图像处理计算机组成的检测系统。根据常见的黑片、断栅、隐裂和碎片4种光伏电池板缺陷特点,通过改进传统Ostu算法来自动识别最优分割阈值的方法再提取红外图像平均灰度值差、复杂度、长宽比和边沿曲率等特征进行缺陷的检测。实验表明,对于含典型缺陷光伏板,系统能够实现光伏板缺陷的检测定位,并对缺陷进行准确分类。A method to detect and classify defects of solar panels based on infrared thermography technology is designed.The detection system consists of black box,thermal infrared imager,simulative light source and image processing computer.According to the normal defects of solar panels,four of them are black pieces,broken gate,hidden crack and fragments,to achieve automatic identification of threshold segmentation by improving traditional Ostu algorithm.This method is applied to defects detection by extracting average gray value of infrared imagery,complexity,length-width ratio and edge curvature.The experiments indicate that this system can detect,locate and classify these typical defects for solar panels.

关 键 词：太阳能光伏板 缺陷检测 红外热像 缺陷分类 

分 类 号：TK513.5[动力工程及工程热物理—热能工程]