针对现场工程人员使用基于PC平台或嵌入式模块等机器视觉系统开发机器人视觉程序比较困难的状况,对机器人与内置视觉识别软件之间联系进行研究。以FANUC机器人集成内置视觉识别功能软件为研究对象,介绍工业相机与机器人物理连接;分析相机标定原理和标定过程;以2D形状和条形码工件为例,详细介绍了视觉识别程序处理过程和机器人视觉程序关键指令以及搬运程序流程。把多个模型混合放置,内置视觉系统都能准确识别,机器人都能精准分拣和搬运。机器人集成内置机器视觉系统硬件连接简单,识别工具丰富,使用方便,机器人程序与视觉数据交互便捷,拓展了机器人工艺应用范围。机器人集成内置视觉识别功能是自动化领域和机器视觉系统发展趋势。
Abstract
Aiming at the situation that it is difficult for field engineers to develop robot vision program using machine vision system based on PC platform or embedded module,the relationship between robot and built-in visual recognition software was studied.Taking the integrated built-in visual recognition function software of FANUC robot as the research object,the physical connection between industrial camera and robot was introduced.Meanwhile,the principle and process of camera calibration were analyzed.Taking 2D shape and bar code workpieces as example,the processing process of visual recognition program,the key instructions of robot visual program and the flow of handling program were introduced in detail.By mixing and placing multiple models,the built-in vision system can accurately identified,the robot could make accurate sorting and carrying.The integrated built-in machine vision system of robot has simple hardware connection,abundant recognition tools,convenient application,as well as convenient interaction between robot program and visual data.Based on this,it has expanded the application scope of robot technology.Integrated built-in visual recognition function of robotis the development trend of automation field and machine vision system.
关键词
FANUC机器人 /
内置视觉识别软件 /
应用研究
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Key words
FANUC robot /
Built-in visual recognition software /
Application research
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参考文献
[1] 秦洪浪, 郭俊杰.传感器与智能检测技术:微课视频版[M].北京:机械工业出版社, 2020:130-135.
[2] 胥磊.机器视觉技术的发展现状与展望[J].设备管理与维修, 2016(9):7-9.
[3] 李占坤, 赵德安, 姬伟, 等.基于工业PC机的果树采摘机器人控制系统设计[J].机械设计与制造, 2010(6):142-144. LI Z K, ZHAO D A, JI W, et al.Control system design of fruit picking robot based on PC system[J].Machinery Design & Manufacture, 2010(6):142-144.
[4] 袁道香.基于PC的视觉解决方案在Delta机器人抓放中的应用[J].价值工程, 2016, 35(32):156-159. YUAN D X.Application of picking and setting robot Delta based on virtual solutions in PC[J].Value Engineering, 2016, 35(32):156-159.
[5] 王娜.基于PC的视觉引导DELTA机械手高速分拣系统设计研究[J].自动化与仪器仪表, 2018(6):120-122. WANG N.Design and research of high speed sorting system for DELTA manipulator based on PC[J].Automation & Instrumentation, 2018(6):120-122.
[6] 林君健, 邱清昉, 张玉春, 等.基于Linux Qt的机器视觉软件架构设计[J].机床与液压, 2019, 47(17):16-21. LIN J J, QIU Q F, ZHANG Y C, et al.Design of machine vision software architecture based on Qt for Linux[J].Machine Tool & Hydraulics, 2019, 47(17):16-21.
[7] 程福安, 魏舜昊, 徐帅, 等.基于嵌入式技术的机器视觉系统设计与应用[J].工业控制计算机, 2020, 33(2):59-60. CHENG F A, WEI S H, XU S, et al.Design and application of machine vision system based on embedded technology[J].Industrial Control Computer, 2020, 33(2):59-60.
[8] 田学军, 彭雪敏, 谭文渊.基于嵌入式机器视觉的机器人抓取系统[J].机电工程技术, 2019, 48(12):26-29. TIAN X J, PENG X M, TAN W Y.Crawling robot based on embedded machine visio systems[J].Mechanical & Electrical Engineering Technology, 2019, 48(12):26-29.
[9] 陈胜利, 肖然, 林国强.多关节机器人与机器视觉通讯接口协议的设计[J].机械工程与自动化, 2020(3):17-18. CHEN S L, XIAO R, LIN G Q.Design on multi-joint robot and machine vision communication interface protocol[J].Mechanical Engineering & Automation, 2020(3):17-18.
[10] 韦真光.工业机器人视觉搬运系统通讯方法及程序设计解析[J].内燃机与配件, 2020(11):239-240.
[11] 苏建, 李在娟.融合视觉和以太网技术的工业机器人分拣装配控制系统设计[J].机床与液压, 2021, 49(24):119-123. SU J, LI Z J.Design of robot sorting and assembling control system based on vision and Ethernet technology[J].Machine Tool & Hydraulics, 2021, 49(24):119-123.
[12] 张昊.面向嵌入式机器视觉的交互式算法开发平台研究[D].无锡:江南大学, 2020:14-15. ZHANG H.Research on interactive algorithm development platform for embedded machine vision[D].Wuxi:Jiangnan University, 2020:14-15.
[13] 沈涛, 杨雄标, 杨锰, 等.PCA图像融合算法在包装机涂胶检测中的应用[J].包装工程, 2020, 41(9):226-231. SHEN T, YANG X B, YANG M, et al.Application of PCA image fusion algorithms in the detection of coating on packaging machine[J].Packaging Engineering, 2020, 41(9):226-231.
[14] 刘海玲.基于计算机视觉算法的图像处理技术[J].计算机与数字工程, 2019, 47(3):672-677. LIU H L.Image processing technology based on computer vision algorithm[J].Computer & Digital Engineering, 2019, 47(3):672-677.
[15] 上海发那科机器人有限公司.FANUC机器人视觉操作说明书[Z], 2016.
[16] ZHANG Z.A flexible new technique for camera calibration[J].IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(11):1330-1334.
[17] 李林.基于视觉测量的六自由度串联机器人标定方法研究[D].烟台:烟台大学, 2021:22-26. LI L.Research on calibration method of 6-DOF serial robot based on vision measurement[D].Yantai:Yantai University, 2021:22-26.
DOI: 10.3969/j.issn.1001-3881.2023.09.005 本文引用格式:李化旭, 邹德华, 刘兰兰, 等.柔性输电线-带电作业机器人刚柔耦合特性分析[J].机床与液压, 2023, 51(9):29-33.
LI Huaxu, ZOU Dehua, LIU Lanlan, et al.Analysis on rigid-flexible coupling characteristics of flexible transmission line-live working robot [J].Machine Tool & Hydraulics, 2023, 51(9):29-33.
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脚注
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基金
江苏省科技厅产学研基金(BY20221321;BY2020017);南京工程学院校级基金(JXGG2021002)
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