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基于图像识别的波纹补偿器轴向尺寸检测方法
引用本文:李宝志,倪洪启,林思雨,孟宪春.基于图像识别的波纹补偿器轴向尺寸检测方法[J].工程设计学报,2022,29(1):10-19.
作者姓名:李宝志  倪洪启  林思雨  孟宪春
作者单位:1.沈阳化工大学 机械与动力工程学院, 辽宁 沈阳 1101422.秦皇岛北方管业有限公司 波纹膨胀节与金属软管技术创新中心, 河北 秦皇岛 066004
基金项目:辽宁省科学技术基金资助项目
摘    要:为了解决传统检测方法只能检测工业管道中波纹补偿器的整体轴向位移,而不能检测其相邻波纹之间轴向位移的问题(相邻波纹之间轴向位移变化不均匀,超出一定限度会导致波纹补偿器损坏),提出了一种基于图像识别的波纹补偿器轴向尺寸检测方法。首先,应用Sobel算子对经高斯滤波平滑处理后的波纹补偿器图像进行边缘检测,最大限度地保留原始图像的边缘特征。然后,对图像进行灰度化、Otsu算法阈值分割处理,经过对图像进行取反、孔洞填充操作之后,得到目标灰度值为1、背景灰度值为0的理想二值化图像。最后,基于波纹补偿器形状的特殊性,对校正后的二值化图像中灰度值为1的部分的上下、左右边缘特征点进行计算,并通过比例关系得到波纹补偿器及其相邻波纹之间的实际尺寸。实验结果表明,所提出的方法能够准确地检测出不同打压程度下波纹补偿器的整体轴向尺寸以及其相邻波纹之间的轴向尺寸。该尺寸检测方法有效地解决了因相邻波纹之间轴向位移变化不均匀而造成的波纹补偿器损坏问题,对于保证波纹补偿器平稳工作及维护生产安全具有重要意义。

关 键 词:图像识别  波纹补偿器  轴向尺寸  边缘检测  边缘特征点

Axial dimension detection method of corrugated compensator based on image recognition
LI Bao-zhi,NI Hong-qi,LIN Si-yu,MENG Xian-chun.Axial dimension detection method of corrugated compensator based on image recognition[J].Journal of Engineering Design,2022,29(1):10-19.
Authors:LI Bao-zhi  NI Hong-qi  LIN Si-yu  MENG Xian-chun
Affiliation:(School of Mechanical and Power Engineering,Shenyang University of Chemical Technology,Shenyang 110142,China;Corrugated Expansion Joint and Metal Hose Technology Innovation Center,Qinhuangdao North Pipe Industry Co.,Ltd.,Qinhuangdao 066004,China)
Abstract:In order to solve the problem that the traditional detection method can only detect the overall axial displacement of the corrugated compensator in the industrial pipeline,but can not detect the axial displacement between its adjacent corrugations(the axial displacement between adjacent corrugations varies unevenly,and if it exceeds a certain limit,the corrugated compensator will be damaged),an axial dimension detection method for the corrugated compensator based on the image recognition is proposed.Firstly,the Sobel operator was used to detect the edge of the corrugated compensator image smoothed by the Gaussian filter,and the edge features of the original image were preserved to the greatest extent.Then,the grayscale and Otsu threshold segmentation processing for the image were carried out.After inverting the image and filling holes,the ideal binary image with target grayscale value of 1 and background grayscale value of 0 was obtained.Finally,based on the particularity of the corrugated compensator shape,the upper,lower,left and right edge feature points of the part with grayscale value of 1 in the corrected binary image were calculated,and the actual dimensions of the corrugated compensator and its adjacent corrugations were obtained through the proportional relationship.The experimental results showed that the proposed method could accurately detect the overall axial dimension of the corrugated compensator and the axial dimension between its adjacent corrugations under different compression levels.The dimension detection method effectively solves the problem of damage to the corrugated compensator caused by the uneven axial displacement between adjacent corrugations,which is of great significance to ensure the smooth operation of the corrugated compensator and maintain production safety.
Keywords:image recognition  corrugated compensator  axial dimension  edge detection  edge feature point
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