基于机器视觉的铝合金厚板粗轧头/尾平面形状检测与分析
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摘要
为降低铝合金厚板粗轧段头/尾切除量,提高热轧铝板成材率,提出了一种基于机器视觉的铝板粗轧头/尾平面形状非接触检测分析方法,旨在不影响热轧生产的基础上,为铝合金热轧切头/尾道次选择、切除量确定及头/尾轮廓形状演变规律分析提供实时数据。通过粗轧机入口与出口辊道侧面布置的工业相机,对铝合金热轧头/尾平面形状进行实时采集,并依次通过Blob图形分析、ROI区域设置、阀值分割、轮廓提取及缺陷长度确认,获得了各道次的头/尾平面形状轮廓和头/尾切除量长度。检测结果与实测结果对比分析表明,本检测方法精确可靠,可直接应用于现场控制。
To reduce the metal removal of head and tail and improve the yield of hot rolled aluminum alloy plate,a non-contact detection and analysis method of the head and tail plane shapes for aluminum alloy plate rough rolling process was presented based on machine vision,which provided real-time data for the selection of pass,metal removal and the contour evolution analysis under the condition that hot rolling production is not affected. By the industrial cameras installed at the inlet and outlet part of rough mill,the head and tail plane shapes of aluminum alloy plate were real-time collected. And the plane shapes and metal removal of head and tail in each pass were obtained by using the Blob graphical analysis,ROI range set,valve segmentation,contour extraction and defect length confirmation. The comparison of detection results and measuring results indicate that the detection and analysis method is accurate and reliable,which can be directly applied to the on-site control.
To reduce the metal removal of head and tail and improve the yield of hot rolled aluminum alloy plate,a non-contact detection and analysis method of the head and tail plane shapes for aluminum alloy plate rough rolling process was presented based on machine vision,which provided real-time data for the selection of pass,metal removal and the contour evolution analysis under the condition that hot rolling production is not affected. By the industrial cameras installed at the inlet and outlet part of rough mill,the head and tail plane shapes of aluminum alloy plate were real-time collected. And the plane shapes and metal removal of head and tail in each pass were obtained by using the Blob graphical analysis,ROI range set,valve segmentation,contour extraction and defect length confirmation. The comparison of detection results and measuring results indicate that the detection and analysis method is accurate and reliable,which can be directly applied to the on-site control.
引文
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[15]黄华贵,王巍,杜凤山,等.基于数字图像处理的钢管自动识别计数系统开发[J].燕山大学学报,2006,30(1):23-26.HUANG Huagui,WANG Wei,DU Fengshan,et al.Development of tube automated counting system based on digital image processing technology[J].Journal of Yanshan University,2006,30(1):23-26.
[16]刘斌,王涛.一种高效的平面点集凸包递归算法[J].自动化学报,2012,38(8):1375-1379.LIU Bin,WANG Tao.An effcient convex hull algorithm for planar point set based on recursive method[J].Acta Automatica Sinica,2012,38(8):1375-1379.
[2]赵世庆,王华春,郭金龙,等.铝合金热轧及热连轧技术[M].北京:冶金工业出版社,2010.ZHAO Shiqing,WANG Huachun,GUO Jinlong,et al.Hot rolling and hot tandem rolling technology of aluminium alloy[M].Beijing:Metallurgical Industry Press,2010.
[3]李多,徐贺年,王祝堂.轧制及铸造铝厚板产业[J].轻合金加工工艺,2015,(4):11-16.LI Duo,XU Henian,WANG Zhutang.Casting and rolling industry of alumin thick plates[J].Light Alloy Fabrication Technology,2015,(4):11-16.
[4]黄文,陆宏,于海波,等.基于局部分叉理论的铝合金板材成形性预测研究[J].塑性工程学报,2017,24(5):68-73.HUANG Wen,LU Hong,YU Haibo,et al.Study of formability prediction for aluminum alloy sheet metal based on local bifurcation theory[J].Journal of Plasticity Engineering,2017,24(5):68-73.
[5]燕猛,黄华贵,张彩云,等.板坯头/尾部平面形状对铝合金厚板粗轧头尾切除量的影响[J].中国有色金属学报,2017,27(6):1102-1108.YAN Meng,HUANG Huagui,ZHANG Caiyun,et al.Effects of head and end plane shape of slab on metal removal of head and tail in aluminum alloy plate rough rolling[J].The Chinese Journal of Nonferrous Metals,2017,27(6):1102-1108.
[6]宋凌峰,王祝堂.铝合金厚板用扁锭的铸造与热轧前的准备(2)[J].轻合金加工技术,2015,(12):1-13.SONG Lingfeng,WANG Zhutang.Slab casting for thick aluminum plates and preparation before hot rolling(2)[J].Light Alloy Fabrication Technology,2015,(12):1-13.
[7]谢水生,刘相华.有色金属材料的控制加工[M].长沙:中南大学出版社,2013.XIE Shuisheng,LIU Xianghua.Control processing for non-ferrous material[M].Changsha:Central South University Press,2013.
[8]宋勇,陈禄祯,刘海.3003铝合金热轧头尾缺陷形成过程仿真及工艺优化[J].塑性工程学报,2016,23(4):76-81.SONG Yong,CHEN Luzhen,LIU Hai.Simulation of the head and tail defect forming of 3003 aluminum alloy hot rolling and process optimization[J].Journal of Plasticity Engineering,2016,23(4):76-81.
[9]汪杰,陈富强,姜岳杉,等.宽厚板头尾及边部形状对称性研究[J].轧钢,2017,(5):23-27.WANG Jie,CHEN Fuqiang,JIANG Yueshan,et al.Research on shape symmetry of wide and heavy plate head,tail and edges[J].Steel Rolling,2017,(5):23-27.
[10]程修利,王德滨.轧机重剪剪盒产生滑脱的原因及预防措施[J].军民两用技术与产品,2015,(14):78.CHENG Xiuli,WANG Debin.Reasons for the slipping of the shear box in the rolling mill and its preventive measures[J].Dual Use Technologies&Products,2015,(14):78.
[11]吕文杰.基于机器视觉的PCB缺陷自动检测系统[D].杭州:浙江理工大学,2016.LWenjie.A system for automatic inspection of printed circuit board defects based on machine vision[D].Hangzhou:Zhejiang Sci-Tech University,2016.
[12]凌云汉,邵光保,孙勇,等.基于机器视觉的锻件位置及顶杆检测系统[J].锻压技术,2018,43(5):115-119.LING Yunhan,SHAO Guangbao,SUN Yong,et al.Detection system of forging position and ejector based on machine vision[J].Forging&Stamping Technology,2018,43(5):115-119.
[13]缪学勤.智能工厂与装备制造业转型升级[J].自动化仪表,2014,35(3):1-6.MIU Xueqin.Smart factory and the transformation&upgrading of equipment manufacturing industry[J].Process Automation Instrumentation,2014,35(3):1-6.
[14]张冬娟,唐万有.基于Blob算法的烫印缺陷在线检测的研究[J].包装工程,2013,34(17):16-19.ZHANG Dongjuan,TANG Wanyou.Hot stamping defect on-linedetection based on Blob algorithm[J].Packaging Engineering,2013,34(17):16-19.
[15]黄华贵,王巍,杜凤山,等.基于数字图像处理的钢管自动识别计数系统开发[J].燕山大学学报,2006,30(1):23-26.HUANG Huagui,WANG Wei,DU Fengshan,et al.Development of tube automated counting system based on digital image processing technology[J].Journal of Yanshan University,2006,30(1):23-26.
[16]刘斌,王涛.一种高效的平面点集凸包递归算法[J].自动化学报,2012,38(8):1375-1379.LIU Bin,WANG Tao.An effcient convex hull algorithm for planar point set based on recursive method[J].Acta Automatica Sinica,2012,38(8):1375-1379.