光学学报, 2018, 38 (9): 0912003, 网络出版: 2019-05-09   

主动热激励式红外热成像管道缺陷深度检测 下载: 1028次

Depth Test of Pipeline Defects by Active Thermal Excitation and Infrared Thermography
作者单位
昆明理工大学信息工程与自动化学院, 云南 昆明 650500
摘要
针对管道内壁缺陷深度检测的问题,建立了一种基于电涡流主动热激励的红外热成像管道缺陷深度检测方法。阐述了红外热成像管道缺陷深度检测的机理,针对埋地管道检测对热激励的特殊要求,设计了参数可调控的电涡流热激励实验装置,按照管道内壁形状制作了检测试件,通过基于电涡流的主动热激励实验,分析了谐振频率、提离高度、输入电功率这3个重要参数对热激励效率的影响,并得出它们的优化值。在此基础上,对预先设计带有不同深度缺陷的检测试件进行主动热激励,并获取其红外热图像,通过分析热图像数据发现,缺陷与非缺陷区域间灰度均值的差值随缺陷深度的变化而变化,一在定条件下二者呈单值对应关系,且具有较好的线性度。利用这一规律,通过实验数据拟合建立了槽形缺陷和圆形缺陷的深度检测模型,实验测试显示所建立的模型具有一定的检测精度。研究结果表明:在优化的电涡流主动热激励条件下,可以通过红外热图像计算出缺陷深度,所提出的基于电涡流主动热激励的红外热成像管道缺陷深度检测方法具有可行性。
Abstract
Aim

ing at depth test of pipeline inwall defects, we propose a method of measuring the depth of pipeline defects, which based on the active thermal excitation by eddy current and infrared thermography. The theory of infrared imaging pipeline defects measuring is described. According to the special requirements of buried pipeline detection, a test device of eddy current thermal excitation with adjustable parameters is designed. Some specimens are fabricated according to the shape of the pipeline. With the active thermal excitation experiment based on eddy current, the influences of three important parameters, such as resonant frequency, lift-off distance and input electrical power on thermal excitation efficiency are analyzed, and the optimized values are obtained. Based on the above work, the infrared images of specimens with pre-designed defects which have different depths are acquired. The thermal image data analysis shows that the difference of grayscale between the defects and the non-defective areas varies with the defect depth, and the two factors show a single value correspondence, which has a good linearity under certain conditions. The defect depth detection model of groove-like and circular defects are established by the law. The experimental results show that the established model has certain detection accuracy. The research results show that the depth of defect can be calculated by infrared thermal image under the optimized active eddy current excitation condition. The proposed method based on active eddy current excitation of infrared thermal imaging pipeline is feasible.

王卓, 张云伟, 喻勇, 樊阳阳. 主动热激励式红外热成像管道缺陷深度检测[J]. 光学学报, 2018, 38(9): 0912003. Zhuo Wang, Yunwei Zhang, Yong Yu, Yangyang Fan. Depth Test of Pipeline Defects by Active Thermal Excitation and Infrared Thermography[J]. Acta Optica Sinica, 2018, 38(9): 0912003.

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