摘要
由于汽车焊接性能要求较高,因此在实际的生产线上为了解决焊接准确性的问题,采用自动机器人主动激光视觉技术跟踪和分析焊缝。在实际应用中,影响焊接检测结果的因素众多,如焊接环境条件(烟雾或电弧光扰动)、焊缝结构、激光器性质、要使用的滤光器类型及成像传感器的性质等因素。主要对机器人激光检测技术在汽车焊接线上应用过程的因素进行设计,并探索系统设计过程中所需的参数,特别强调光学系统硬件和图像处理软件之间的耦合,以便在不影响精度情况下实现成本有效的视觉控制系统。
Due to the high requirements of automotive welding performance,in order to solve the problem of welding accuracy in the actual production line,automatic robot vision technology is used to track and analyze the weld seam.In practical applications,there are many factors that affect the results of welding detection,such as welding environmental conditions(smoke or arc light disturbance),weld structure,laser properties,the type of filter to be used,and the nature of the imaging sensor.This article mainly designs the factors of the application process of robotic laser detection technology in the automotive welding line,and explores the parameters required in the system design process,with particular emphasis on the coupling between the optical system hardware and the image processing software,so as not to affect the accuracy and achieve a cost-effective visual control system.
作者
赵亮
Zhao Liang(Department of Electronics,Baoji Vocational Technology College(Baoji,Shaanxi,721013,China))
出处
《小型内燃机与车辆技术》
2018年第6期42-45,共4页
Small Internal Combustion Engine and Vehicle Technique
关键词
汽车焊接
激光视觉
在线监测
焊缝结构
Automotive welding
Laser vision
On-line monitoring
Weld structure
