摘要
钢轨安全状态的监测对保证列车的安全运行至关重要,针对钢轨裂纹的检测,本文阐述了几种不同的裂纹检测技术。重点分析了红外热成像检测技术在钢轨裂纹检测中的应用,该检测技术包括外激励加热、红外图像采集以及图像处理三部分。本文将常用激励方式进行了介绍和对比,详细阐述了卤素灯作为激励在裂纹检测中的应用;其次,搭建了基于卤素灯激励的红外热成像检测实验平台;然后,对采集到的红外图像进行增强处理,并提出改进图像处理算法;最后,本文对该技术未来的应用前景做出展望。
The monitoring of rail safety status is crucial to ensure the safe operation of trains.Aiming at rail crack detection,this study quantitatively compares different crack detection technologies and analyzes the application of infrared thermal imaging technology in rail crack detection.The proposed detection technology comprises three parts:external excitation heating,infrared image acquisition and image processing.Firstly,the common excitation methods are introduced and compared.The application of halogen lamps as excitation sources in crack detection is described in detail.Secondly,a halogen lamp excitation based infrared thermal imaging detection experimental platform is developed.Thirdly,an improved image processing algorithm is proposed to enhance the collected infrared image.Finally,this study discusses the prospects of applying the proposed technology in the future.
作者
金玫秀
朱士虎
王通
庄飞飞
JIN Meixiu;ZHU Shihu;WANG Tong;ZHUANG Feifei(School of Physics and Electronic Engineering,Jiangsu Normal University,Xuzhou 221116,China)
出处
《红外技术》
CSCD
北大核心
2022年第4期421-427,共7页
Infrared Technology
基金
江苏省研究生科研与实践创新计划项目(SJCX20_0906)。
关键词
钢轨裂纹
红外热成像
激励
图像处理
rail crack
infrared thermal imaging
excitation
image processing
