锻压技术

基于双目视觉及激光测量融合的冲压件在线尺寸测量

英文标题：On-line dimension measurement of stamping parts based on fusion of binocular vision and laser measurement

作者：李仁威左治江李涵胡军

单位：江汉大学智能制造学院

分类号：TH69；TP399

出版年,卷(期):页码：2021,46(12):203-219

摘要：

为实现冲压自动化生产的在线检测，设计了一套基于双目视觉及激光测量融合的冲压件尺寸测量系统。该系统将平面尺寸和高度尺寸的测量集成在同一系统中，针对一个含有落料、冲孔、拉深、折弯及翻边等工艺特征的冲压件，首先，利用图像增强和自适应阈值二值化等算法对双目相机所采集的冲压件图像进行处理；然后，通过最小二乘法圆拟合进行轮廓的提取及绘制，精确测量该冲压件的平面尺寸；并基于激光三角测量原理，采用正入射的测量方法，使用两条线激光对冲压件的高度尺寸进行测量，从而得出冲压件的三维尺寸。经智能冲压生产线实际测量的统计数据表明，该系统的检测速度小于3.5 s·件-1，正确率为99%，能满足在线测量的需求。

In order to realize the on-line inspection of stamping automation production, a set of stamping part size measurement system based on the fusion of binocular vision and laser measurement was designed, which integrated the measurement of plane size and height size in the same system. For a stamping part with process features such as blanking, punching, deep drawing, bending and flanging, first, the image of the stamping part collected by the binocular camera was processed based on the image enhancement and the adaptive threshold binarization algorithms, etc., and then the extraction and drawing of the contour were conducted by the least squares circle fitting to accurately measure the plane size of the stamping part. Based on the principle of laser triangulation measuring and the normal incidence measure method, the height dimension of the stamping part was measured by using two lines emitted by lasers, so as to obtain the three-dimensional size of the stamping part. The statistical data which were actually measured by the intelligent stamping production line show that the detection speed of the system is less than 3.5 s per piece, and the accuracy rate is 99%, which can meet the needs of on-line measurement.

基金项目：

教育部新工科项目（E-RGZN20201033）

作者简介：李仁威（1997-），男，硕士研究生 E-mail：927890938@qq.com 通信作者：左治江（1974-），男，博士，教授 E-mail：zzjdfcy@163.com

参考文献：

[1] 安微. 汽车冲压件成形及其缺陷分析[J].科技创新与应用， 2016,6(23):134-134.

An W. Analysis of forming and defects of automobile stamping parts[J]. Technology Innovation and Application,6(23):134-134.

[2] 赵珈兿. 基于机器视觉的冲压件缺陷识别方法研究[D].沈阳：沈阳工业大学，2020.

Zhao J Y. Research on Defect Recognition Method of Stamping Parts Based on Machine Vision[D]. Sheng Yang: Shenyang University of Technology, 2020.

[3] 张晓平，张青云.世界钢铁工业发展趋势及对我国钢铁工业的影响[J].世界地理研究，2005,14(2):80-86.

Zhang X P, Zhang Q Y. Development trend of the world steel industry and its impact on China[J]. World Regional Studies, 2005,14(2):80-86.

[4] 齐辉. 工件尺寸与缺陷自动检测控制系统设计与实现[D].成都：西南交通大学，2017.

Qi H. Design and Realization of Automatic Detection and Control System for Size and Defect of Workpiece[D]. Chengdu: Southwest Jiaotong University, 2017.

[5] 鲍湘之，李东福，李强，等.基于机器视觉的圆环筛选机的设计[J].制造业自动化，2015，37（1）：33-35，46.

Bao X Z, Li D F, Li Q, et al. The design of screening machine for circular ring based on machine vision[J]. Manufacturing Automation, 2015,37(1):33-35,46.

[6] 戴亚辉，罗亮，刘知贵.拉铆钉在线检测系统的自动供料机构设计与仿真[J].机械设计与制造，2015，36(10):256-259.

Dai Y H, Luo L, Liu Z G. Design and simulation of automatic feeding mechanism of pulling rivets online detection system[J]. Machinery Design & Manufacture，2015,36（10）：256-259.

[7] 杨延竹，路敉，韩阜益.基于机器视觉的冲压件感兴趣区域尺寸测量[J].机械设计与制造，2019,40（10）：150-153.

Yang Y Z, Lu M, Han F Y. The rol of stamping parts dimensional measurement based on machine vision[J]. Machinery Design & Manufacture, 2019,40（10）：150-153.

[8] 汪凤林，周扬，叶绿，等.基于机器视觉的飞轮齿圈缺陷和尺寸检测方法[J].中国测试，2020,46（5）：31-38.

Wang F L, Zhou Y, Ye L, et al. Method for fault defection and size measurement for flywheel ring gear based on machine vision[J]. China Measurement & Test, 2020,46（5）：31-38.

[9] 李云峰，韩茜茜，李晟阳.基于机器视觉的冲压件尺寸参数测量[J].工具技术，2015,49（11）：95-98.

Li Y F, Han X X, Li S Y. Dimension parameter measurement of stamping parts based on machine vision[J]. Tool Engineering, 2015,49(11):95-98.

[10]秦豆豆，卢军，宋岳秦.工件外观识别与视觉检测技术的研究[J].组合机床与自动化加工技术，2018，60（9）：84-87,91.

Qin D D, Lu J, Song Y Q. The research on appearance recognition and visual inspection technology of workpiece[J]. Modular Machine Tool & Automatic Manufacturing Technique, 2018,60(9):84-87,91.

[11]聂锟，萧泽新.图像处理技术在微小冲压件尺寸测量中的应用[J].电视技术，2005，29（z1）：158-160.

Nie K, Xiao Z X. The application of image processing technology in the measurement of the size of tiny stamping parts [J]. Video Engineering, 2005,29(z1):158-160.

[12]吴雅莎. 基于双目视觉的冲孔和弯曲质量检测系统的开发[D].广州：广东工业大学，2018.

Wu Y S. Development of Punching and Bending Quality Detection System Based on Binocular Vision[D]. Guangzhou: Guangdong University of Technology, 2018.

[13]项辉宇，刘倩倩，韩宝安，等.基于HALCON的单目视觉系统冲压件的几何特征检测[J].制造业自动化，2014，36（12）：48-50,63.

Xiang H Y, Liu Q Q, Han B A, et al. Geometric feature detection of stamped products by HALCON based monocular vision[J]. Manufacturing Automation, 2014,36(12):48-50,63.

[14]孙伟领，李伟，韦韡，等.基于激光测距传感器的覆盖件轮廓检测[J].锻压技术，2020，45（12）：165-170.

Sun W L, Li W, Wei W, et al. Detection on cover contour based on laser ranging sensor[J]. Forging & Stamping Technology, 2020,45(12):165-170.

[15]房家军，郁汉琪，花慧敏.基于双目立体视觉的工件尺寸测量研究[J].绿色科技，2020，22（18）：219-223.

Fang J J, Yu H Q, Hua H M. Research on workpiece size measurement based on binocular stereo vision[J]. Journal of Green Science and Technology,2020,22（18）：219-223.

[16]朱妍. 基于激光三角法的三维轮廓测量系统[D].合肥：合肥工业大学，2018.

Zhu Y. Three Dimensional Profile Measurement System Based on Laser Trigonometry[D]. Hefei: Hefei University of Technology, 2018.

[17]李晓天，张铁强，张胜勇，等.基于激光三角法的小物体尺寸测量及三维重构系统[J].光学仪器，2008,30(6):21-26.

Li X T, Zhang T Q, Zhang S Y, et al. Small object′s dimension measure and threedimension reconstruction system based on laser triangulation[J]. Optical Instruments, 2008,30(6):21-26.

[18]李训登，傅惠南，邓新汉，等.一种结合激光测量与视觉检测的尺寸测量方法[J].机电工程技术，2017，46（9）：85-88.

Li X D, Fu H N, Deng X H, et al. A dimension measurement method by combining laser measurement with visual detection[J]. Mechanical & Electrical Engineering Technology, 2017,46(9):85-88.

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