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2025, 04, v.52 65-72
基于Halcon的瓶盖丁基胶垫切割轨迹规划研究
基金项目(Foundation): 2023年广东省科技创新战略专项基金(2023005); 2022年江门市科技计划(2022660500120010321)
邮箱(Email): kurt.yang@163.com;
DOI:
摘要:

为加快药用丁基胶垫的生产速度、考虑到丁基胶塞生产工艺和生产技术上的不足,依据对加工车间的实地考察,研究一种基于机器视觉的丁基胶垫切割轨迹方法。该方法以丁基胶垫为研究对象,通过Halcon设计一个基于归一化互相关系数方法的丁基胶垫中圆形胶垫定位算法,对丁基胶垫中的圆形胶垫进行识别定位,通过亚像素精度拟合获取所有圆形胶垫的圆形坐标和半径信息,快速生成丁基胶垫的切割轨迹,搭建出丁基胶垫视觉识别切割系统,并使用VisualStudio2017对该视觉系统进行软件开发。对该系统的切割轨迹进行测试,自动生成切割轨迹信息,并对裁切后的两种圆形胶垫进行质量分析,定位成功率在96%以上,切割圆形胶垫的误差平均值为0.18 mm,满足工厂的加工精度需求。

Abstract:

In order to accelerate the production speed of medicinal butyl rubber pads and improve the production process and technology of butyl rubber plugs, a machine vision based cutting trajectory method for butyl rubber pads was studied based on field investigations of the processing workshop. By using HALCON, we designed a positioning algorithm based on normalized cross-correlation coefficient method to identify and locate the butyl rubber pads. This method can quickly generate the cutting trajectory of the butyl rubber pads and build a visual recognition cutting system. By testing the cutting trajectory of the system, the cutting trajectory information can be automatically generated, and quality analysis on the two types of butyl rubber pads after cutting are conducted. The success rate of positioning is over 96%, and the average error of cutting circular rubber pads is 0.18 mm, which meets the processing accuracy requirements of the factory.

参考文献

[1]孙建华.华益公司丁基橡胶瓶塞的发展对策研究[D].长沙:中南大学,2006.

[2]曹菲,仇久安,赵友俊,等.链式橡胶切条机的设计[J].机电信息,2020(21):132-133.

[3]胡月,隋宏艳,李大为,等.超声辅助切割橡胶试验研究[J].工具技术,2011,45(10):47-50.

[4]夏雪,多化琼,丁安宁,等.机器视觉在单板缺陷检测中的应用[J].世界林业研究,2022,35(6):69-74.

[5]黄新波,孙苏珍,张烨,等.不均匀光照下带钢表面缺陷检测方法的研究[J].机械科学与技术,2024,43(8):1394-1402.

[6]何新宇,赵时璐,张震,等.机器视觉的研究及应用发展趋势[J].机械设计与制造,2020(10):281-283,287.

[7]谢晖,吴先锋,付山,等.基于Halcon的电表铭牌缺陷检测系统[J].现代制造工程,2021(2):119-126.

[8]ZHANG T,HU L. Detection method of agricultural product defects based on machine vision technology[J]. International Core Journal of Engineering,2024,10(6):215-219.

[9]杨宇.基于视觉引导的工业机器人智能抓取研究[J].电子制作,2022,30(20):29-31.

[10]LIN J,JIANGANG L,DONGXING W,et al. Surface defect detection of machined parts based on machining texture direction[J].Measurement Science and Technology,2021,32(2):025204.

[11]YANG F,WANG Y,WANG S,et al. Wood Veneer Defect Detection System Based on Machine Vision:Proceedings of the 2018International Symposium on Communication Engineering&Computer Science(CECS 2018)[C]. Jinan:University of Jinan,2018.

[12]闫磊,王萌,韩章.基于Halcon的工件定位抓取系统设计与开发[J].制造业自动化,2020,42(10):46-48,60.

[13]刘建春,高永康,陈勇忠.双目视觉引导的异构件定位抓取系统[J].机械设计与制造,2022(11):285-288,295.

[14]邱鹏程,包建国,朱墨,等.蒸发器传热管中心点的视觉定位[J].机械与电子,2021,39(6):3-6,13.

[15]尚长春,马宏伟,安静宇.基于改进Canny算子的煤矿井下物体图像边缘检测方法研究[J].计算机工程与科学,2014,36(3):491-496.

[16]LIU L P. Improved canny edge detection algorithm matches traffic signs[J]. Semantic Scholar,2016:2244936.

[17]ZHANG D D,ZHAO S. An Improved Edge Detection Algorithm Based on Canny Operator[J]. Applied Mechanics and Materials,2013,2560(347-350):3541-3545.

[18]WANG J,CHEN J. Subpixel edge detection algorithm based on improved Gaussian fitting and Canny operator[J]. Academic Journal of Computing&Information Science,2022,5(7):33-39.

基本信息:

DOI:

中图分类号:TQ330.69;TP391.41

引用信息:

[1]陈泽洪,曹明轩,陈炜等.基于Halcon的瓶盖丁基胶垫切割轨迹规划研究[J].机械,2025,52(04):65-72.

基金信息:

2023年广东省科技创新战略专项基金(2023005); 2022年江门市科技计划(2022660500120010321)

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