基于视觉原理的链轮尺寸测量方法研究  

Research on sprocket size measurement method based on vision principle

作　　者：姜都 刘永 王宸 李伟杰 王红霞 JIANG Du;LIU Yong;WANG Chen;LI Weijie;WANG Hongxia(School of Mechanical Engineering,Hubei University of Automotive Technology,Shiyan 442002,China)

机构地区：[1]湖北汽车工业学院机械工程学院,十堰442002

出　　处：《现代制造工程》2024年第4期129-134,128,共7页Modern Manufacturing Engineering

基　　金：国家科技重大专项项目(2018ZX04027001);教育部人文社科资助项目(20YJCZH150);湖北省高等学校优秀中青年科技创新团队计划项目(T2022027);汽车动力传动与电子控制湖北省重点实验室基金资助项目(ZDK1201703);湖北汽车工业学院博士基金资助项目(BK201905)。

摘　　要：针对现有的链轮端面几何参数测量方法存在效率及测量精度低等问题,提出一种基于视觉原理的链轮端面几何参数测量方法。首先,利用Zernike矩的亚像素边缘检测提取链轮内外轮廓,对内轮廓采用Hough变换获得中心点坐标与中心孔半径;其次,在外轮廓作一辅助圆,通过像素点序列计数算法得到齿数;然后,根据链轮齿廓的形状特征,提出一种改进的局部半径域算法提取每段齿廓的齿顶、齿根点,再通过最小二乘法拟合像素点得到齿顶圆、齿根圆直径;最后,采用最小二乘法拟合链轮键槽边缘直线得到键槽尺寸。对2种不同规格的链轮分别进行10次重复性测量。实验结果表明,链轮端面几何参数的测量误差均小于40μm,相对误差均在0.4%之内,能满足高精度的自动测量需求。A new measurement method of sprocket end face geometry parameters based on vision principle was proposed aiming at the problems of low efficiency and measurement accuracy in the existing measurement methods of sprocket end face geometry parameters.Firstly,the inner and outer contours of the sprocket were extracted by sub-pixel edge detection of Zernike moments,and Hough transformation was used to obtain the center point coordinates and center hole radius of the inner contour.Secondly,an auxiliary circle was made on the outer contour,and the number of teeth was obtained by the pixel sequence counting algorithm.Then,according to the shape characteristics of the sprocket tooth profile,an improved local radius region algorithm was proposed to extract the tip and root points of each tooth profile,and the least square method was used to fit the pixel points to obtain the tooth apex and tooth root circle diameter.Finally,the least square method was used to fit the sprocket keyway edge line to obtain the keyway size.The repeated measurements were performed 10 times for each of the two sprockets with different specifications.The experimental results show that the measurement errors of sprocket end face geometric parameters are all less than 40μm,and the relative errors are all within 0.4%,which can meet the needs of high-precision automatic measurement.

关 键 词：链轮 视觉测量 亚像素边缘 几何尺寸 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TG806[自动化与计算机技术—计算机科学与技术]