基于红外热成像的槽罐车内壁裂纹检测方法的研究

Research on Detection Method of Inner Wall Crack of Tank Truck Based on Infrared Thermal Imaging

针对传统无损检测技术在槽罐车内壁裂纹检测中效率低、抗干扰能力差等问题,提出一种基于红外热成像的槽罐车内壁裂纹检测方法。研制了一种滚动式电加热棒作为热激励源,并采用新的激励方式对被检测表面进行热激励;根据热量传输过程中遇到裂纹时温度产生异常的原理,对被检测表面进行温度分析;优化了一种结合形态学滤波的自适应Canny边缘检测算法,改善了传统Canny边缘检测算法在采集的红外热图中的局限性。实验证明,该方法能够有效的识别和定位裂纹。

Aiming at the problems of low efficiency and poor anti-jamming ability in the detection of cracks on the inner wall of tank trucks by traditional non-destructive testing techniques,this paper proposes a detection method of cracks on the inner wall of tank trucks based on infrared thermal imaging.Developed a rolling electric heating rod as a thermal excitation source,and used a new excitation method to thermally stimulate the detection surface.According to the principle of abnormal temperature generated during the heat transfer process,the temperature of the detected surface is analyzed.Optimized an adaptive Canny edge detection algorithm combined with morphological filtering,which improved the limitations of the traditional Canny edge detection algorithm in the collected infrared heat map.Experiments show that this method can effectively identify and locate cracks.