毛建旭,李明,周博文,王耀南,赵科.汽车挡风玻璃定位与支架粘合视觉检测系统的设计与实现[J].电子测量与仪器学报,2017,31(3):343-352
汽车挡风玻璃定位与支架粘合视觉检测系统的设计与实现
Design of visual test system for automobile windshield positioning and bracket adhesion
  
DOI:10.13382/j.jemi.2017.03.003
中文关键词:  机器视觉  挡风玻璃定位  支架粘合检测
英文关键词:machine vision  automobile windshield positioning  bracket bonding test
基金项目:国家自然科学基金(61072121,61271382)、国家科技支撑计划(2015BAF13B00)资助项目
作者单位
毛建旭 1. 湖南大学电气与信息工程学院长沙410082; 2. 机器人视觉感知与控制技术国家工程实验室长沙410082 
李明 1. 湖南大学电气与信息工程学院长沙410082; 2. 机器人视觉感知与控制技术国家工程实验室长沙410082 
周博文 湖南科技大学信息与电气工程学院湘潭411201 
王耀南 1. 湖南大学电气与信息工程学院长沙410082; 2. 机器人视觉感知与控制技术国家工程实验室长沙410082 
赵科 1. 湖南大学电气与信息工程学院长沙410082; 2. 机器人视觉感知与控制技术国家工程实验室长沙410082 
AuthorInstitution
Mao Jianxu 1. College of Electrical and Information Engineering, Hunan University,Changsha 410082,China; 2.National Engineering Laboratory forRobot Visual Perception and Control Technology, Changsha 410082,China 
Li Ming 1. College of Electrical and Information Engineering, Hunan University,Changsha 410082,China; 2.National Engineering Laboratory forRobot Visual Perception and Control Technology, Changsha 410082,China 
Zhou Bowen School of Information and Electrical Engineering, Hunan University of Science and Technology, Xiangtan 411201,China 
Wang Yaonan 1. College of Electrical and Information Engineering, Hunan University,Changsha 410082,China; 2.National Engineering Laboratory forRobot Visual Perception and Control Technology, Changsha 410082,China 
Zhao Ke 1. College of Electrical and Information Engineering, Hunan University,Changsha 410082,China; 2.National Engineering Laboratory forRobot Visual Perception and Control Technology, Changsha 410082,China 
摘要点击次数: 995
全文下载次数: 981
中文摘要:
      针对企业提出的汽车前挡风玻璃自动制造需求,设计了一套基于机器视觉的前挡风玻璃定位与支架粘合检测系统。阐述了系统的整体设计方案,详细介绍了电气控制部分、机器人控制部分和机器视觉部分。系统采用底部背光与双侧面条形光相结合的光学控制策略。针对产品的特征,提出了自适应阈值图像分割算法和基于改进的随机霍夫变换特征提取算法,实现汽车挡风玻璃定位和支架粘合质量检测。实验结果表明,设计的系统能够很好地降低粘合支架的次品率,次品率仅为4%,满足了企业生产现场的精度和时间要求,实现粘合精度小于0.5 mm,智能制造系统生产效率为人工的4.5倍,大大提高企业的生产效率。
英文摘要:
      A set of windscreen positioning and bracket bonding detection system based on machine vision is developed in the paper.The whole design scheme of the system is described, and the system of electric control part and robot control part and machine visionpart are introduced in detail.By taking advantage of the characteristics of the image background, the backlight and double side bar at the bottom of the light with the combination of optical control strategy is used.According to the characteristics of the product, an adaptive threshold image segmentation algorithm and an improved random Hough transform algorithm are proposed to realize the automobile windshield positioning and bracket adhesion detection.The experimental results show that the designed system can well reduce the error rate of artificial bonded bracket, and the defective rate is only 4%,it meets the production precision and time requirements. The bonding precision is less than 0.5 mm, intelligent manufacturing system production efficiency is 4.5 times of artificial, the production efficiency of the enterprise is greatly improved.
查看全文  查看/发表评论  下载PDF阅读器