[1]徐海波①,何小敏①,刁建彬②,等.工业炸药药卷传输姿态在线检测方法[J].爆破器材,2012,41(06):19-22、26.[doi:10.3969/J.ISSN.1001-8532.2012.06.006]
　XU Haibo,HE Xiaomin,DIAO Jianbin,et al.On-line Inspection Method for the Transmission Profile of Industrial Explosive Cartridges[J].EXPLOSIVE MATERIALS,2012,41(06):19-22、26.[doi:10.3969/J.ISSN.1001-8532.2012.06.006]
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工业炸药药卷传输姿态在线检测方法()
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《爆破器材》[ISSN:1001-8352/CN:32-1163/TJ]

卷:
41
期数:
2012年06
页码:
19-22、26
栏目:
爆炸材料
出版日期:
2012-12-20

文章信息/Info

Title:
On-line Inspection Method for the Transmission Profile of Industrial Explosive Cartridges
文章编号:
4527
作者:
徐海波①; 何小敏①; 刁建彬②; 许亮①②; 李秀喜③
①广东工业大学自动化学院(广东广州,510006)
②广东振声科技股份有限公司(广东梅州,514795)
③华南理工大学化学与化工学院(广东广州，510064 )
Author(s):
XU Haibo①;  HE Xiaomin①;  DIAO Jianbin②;  XU Liang①②;  LI Xiuxi③
① School of Automation, Guangdong University of Technology (Guangdong Guangzhou, 510006)
②Guangdong Zhensheng Science &Technology Co., Ltd. (Guangdong Meizhou, 514795)
③School of Chemistry and Chemical Engineering, South China University of Technology (Guangdong Guangzhou, 510640)
关键词:
工业炸药; 药卷; 机器视觉; 在线检测
Keywords:
industrial explosive;  cartridge;  machine vision;  online inspection
分类号:
TD235.2+1 TP13
DOI:
10.3969/J.ISSN.1001-8532.2012.06.006
文献标志码:
A
摘要:
针对工业炸药自动包装过程药卷在线传输姿态异常问题，运用机器视觉检测技术，提出药卷传输姿态在线检测方法。该方法提取药卷在传输过程中的特征线段，形成基于边缘直线检测和矩形定位的传输姿态检测方法。利用Visual studio C++ 和OpenCV实现算法及仿真实验。实验结果表明，两种方法的检测速度可以满足包装生产线速度，且可以快速准确地对异常姿态药卷识别与诊断。
Abstract:
To solve the problem of abnormal profile for industrial explosive cartridges during automatic packing process, an on-line inspection method is presented by using machine vision inspection technology. During the transmission process, the feature line of industrial explosive cartridges in these images are extracted, and both the transmission detecting method based on edge-line detecting and rectangle locating method are constructed. Algorithms and simulation experiments are performed by using Visual Studio C++ and OpenCV. Experimental results show that detection speeds of both methods can satisfy the requirement of a packaging production line, and can identify and diagnose for abnormal profile for industrial explosive cartridges accurately and quickly.

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备注/Memo

备注/Memo:
收稿日期：2011-05-26
资助项目：广东省科技计划项目（2010B010700005）；国家科技支撑计划课题（2012BAK13B02）,2010年现代信息服务业发展专项资金, 编号：粤经信软信［2010］871号
作者简介：徐海波（1987~），男，硕士，研究方向：智能控制与信息处理技术。
通信作者：何小敏（1961~），女，副教授，研究方向：嵌入式系统及传感器网络。
更新日期/Last Update: 2012-12-31