基于机器视觉的石油管螺纹参数检测方法  

Parameter Detection Method of Oil Pipe Thread Based on Machine Vision

作　　者：虞梦茜 刘茂生 王昆梓 许黎明[3] YU Mengxi;LIU Maosheng;WANG Kunzi;XU Liming(SJTU-Paris Tech Elite Institute of Technology,Shanghai Jiao Tong University,Shanghai 200240,China;Baosteel Engneering&Technology Group Co.,Ltd.,Shanghai 200941,China;School of Mechanical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China)

机构地区：[1]上海交通大学巴黎卓越工程师学院,上海200240 [2]宝钢工程技术集团有限公司,上海200941 [3]上海交通大学机械与动力工程学院,上海200240

出　　处：《机械设计与研究》2024年第5期19-22,共4页Machine Design And Research

摘　　要：提出了一种基于机器视觉的石油偏梯形管锥螺纹在线检测方法。设计和建立了一套可测量不同管径的视觉检测系统,通过对螺纹图像的分段采集,并应用亚像素技术,实现了对大尺寸螺纹的高精度参数检测。实验结果表明,检测算法能有效地对管螺纹图像进行边缘提取并测量六种螺纹参数,检测结果达到工业生产需求。该方法也可进一步推广至其他类型工业螺纹的参数检测。A machine vision-based detection method for the taper thread of trapezoid pipe threads is presented.A set of visual inspection system for measuring different pipe diameters is designed and established.Piecewise acquisition of thread images combined with sub-pixel technology is applied for the parameter detection of large size threads with high precision.The experimental results show that the detection algorithm can effectively extract the edge of the pipe thread image and measure six types of thread parameters,which meet the needs of industrial production.This method can also be further extended to the parameter detection of other types of industrial threads.

关 键 词：机器视觉 管螺纹 几何参数 在线检测 亚像素 

分 类 号：TH39[机械工程—机械制造及自动化]