摘要
介绍了基于大数据处理、视觉技术图像分割深度学习、协作机器人、自动化技术实现油漆附着力的全过程自动化测试,打造人机共融场景应用.通过搭建结构化、数字化平台挖掘频次高、人工耗时长、可标准化的检测任务并开展自动化测试可行性研究;通过搭建视觉技术平台、协作机器人技术应用及机械自动化技术的深度融合,实现了自动划格、自动粘贴及剥离胶带、高压冲水的自动测试、油漆涂层脱落面积自动识别计算、自动获取测试参数、测试结果自动评价及测试结果传输等全过程测试的自动化场景实现,打造一种全新的多技术融合应用平台,完成全过程自动化测试系统的开发应用.
Abstract
This paper introduces based on big data processing,vision technology image segmentation deep learning,collaborative robotics,automation technology to achieve the whole process of automated testing of paint adhesion,to create a human-machine integration scene application.By building a structured,digital platform to mine the high frequency,long manual time-consuming,standardisable testing tasks and carry out automated testing feasibility studies.By building a vision technology platform,collaborative robotics applications and the deep integration of mechanical automation technology,the automatic scribing,automatic adhesion and peeling tape,high-pressure flushing of the automated test,the automatic identi-fication and calculation of the area of the paint coating peeling off,the automatic acquisition of the test parameters,auto-matic evaluation of test results and transmission of test results,and other automation scenarios of the whole process of testing,to create a new multi-technology fusion application platform.
维普
万方数据