基于机器视觉的飞机电镀部件曲表面无损检测

Nondestructive testing of curved surfaces of electroplated aircraft parts based on machine vision

[目的]为解决机器视觉在曲表面无损检测中算法复杂的问题,以及克服传统光源在曲表面检测中的局限性,开发了一套基于格栅光源的飞机电镀部件曲表面无损检测系统。[方法]该系统通过格栅光对电镀部件曲表面进行成像,随后进行图像分析,包括图像导入、预处理、Blob分析等步骤。[结果]该系统能够快速、准确地检测出电镀部件曲表面存在的缺陷,检测效率高且稳定可靠。[结论]该系统在飞机制造企业及航空公司飞机维护一线的初步工程应用中取得了良好效果,有望进一步推广。

[Introduction]In order to solve the algorithmic complexity of machine vision in nondestructive inspection of curved surfaces,as well as to overcome the limitations of traditional light sources in curved surface inspection,a set of nondestructive inspection system for curved surfaces of electroplated aircraft parts based on grid light was developed.[Method]The nondestructive testing system images the curved surface of electroplated part with grid light followed by image analysis including image import,preprocessing,and Blob analysis.[Result]The nondestructive testing system can quickly and accurately detect the defects on the curved surfaces of electroplated parts with high efficiency,stability,and reliability.[Conclusion]The initial engineering application of the nondestructive testing system to aircraft manufacturing enterprise and airline maintenance have shown promising results,indicating the potential for further adoption.