基于线扫描机器视觉的环型工件圆度检测  

Roundness Measuring for Ring Parts Based on Line Scan Machine Vision

作　　者：刘与希 刘钊[2] 

机构地区：[1]武汉科技大学国际学院,湖北武汉 [2]武汉科技大学计算机科学与技术学院,湖北武汉

出　　处：《计算机科学与应用》2017年第5期481-489,共9页Computer Science and Application

基　　金：国家自然科学基金项目面上项目(51174151).

摘　　要：为了提高直径100 mm至400 mm的齿圈、信号齿圈、惯性环等环型工件圆度检测的精度和效率,设计了一种多规格环型工件检测任务分组方法(RMTGM)和一种基于线扫描传感器的自动圆度检测系统(ARMS)。RMTGM 能确定需要多少套ARMS以及其工作参数,并对于不同尺寸的待检测工件和任务进行分组。工件在过滤了机械振动等影响后,根据相机采集的图像数据得到边缘信息并计算极坐标;经过坐标转换和最小二乘拟合,ARMS系统得到环型工件的圆度并进行相关质量判定。理论分析和实际使用结果表明,ARMS和RMTGM配合能很好完成多规格环型工件圆度的在线检测任务,且圆度测量的精度达到±0.01 mm。In order to improve the precision and efficiency of the roundness measurement for ring parts (Diameter 100 – 400 mm;Ring gear, signal ring gear, or inertia ring), this paper designs a Ring Measuring Tasks Grouping Method (RMTGM), and an Automatic Roundness Measuring System (ARMS) based on line scan CCD. According to needs analysis, RMTGM finds out how many ARMS are need and working parameters of them, then groups the tasks. Mechanical vibration is filtrated and the image data is collected, then, edge information and polar coordinates are calculated. ARMS computes the roundness of ring parts for quality judgment according to coordinate and least- squares fitting. Theoretical analysis and practical application results shows that tasks of ring parts roundness measuring would be well done by ARMS and RMTGM;roundness measured by ARMS is accurate to ±0.01 mm.

关 键 词：环型工件 圆度 机器视觉 线扫描 尺寸检测 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]