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作 者:曹圣泉 田晓晓 孙勇 Cao Shengquan;Tian Xiaoxiao;Sun Yong(Baowu Special Metallurgical Co.,Ltd.,Shanghai 200940,China;China Academy of Machinery Beijing Research Institute of Mechanical&Electrical Technology Co.,Ltd.,Beijing 100083,China)
机构地区:[1]宝武特种冶金有限公司,上海200940 [2]中国机械总院集团北京机电研究所有限公司,北京100083
出 处:《锻压技术》2024年第7期210-216,共7页Forging & Stamping Technology
摘 要:针对热加工复杂环境下锻件表面图像变化形成的低质量DataMatrix二维码难以识别的问题,提出了一套立体视觉识别技术。该技术依靠DM二维码“凹陷”这一深度信息进行识别,利用视觉传感器扫描获取原始点云数据,通过数据层析和局部投影算法去除干扰信息点、筛选有效标识点,最终实现DM二维码的识别功能。此外,为了验证该技术的识别能力,开展了DM二维码标识试验。采用气动点针打标技术进行打标,并获得了4种热处理后典型的金属材料表面低质量的DM二维码。试验结果表明,该技术可以实现金属表面低质量DM二维码标识的100%识别,这为金属锻造行业以及其他制造业进行质量管控和信息追溯提供了技术支撑。For the problem that it was difficult to recognize the low-quality DataMatrix code formed by the image changes at the surface of metal forgings under the complex environment of thermal processing,a set of three-dimensional visual identification technology was proposed,which relied on the“depression”feature of the DM two-dimensional code and obtained the original point cloud data by scanning of vision sensor.Then,removing interference information points and screening effective identification points were conducted by data layering analysis and local projection algorithm to finally realize the DM two-dimensional code identification function.In addition,in order to verify the identification ability of this technology,DM two-dimensional code marking test was carried out.Pneumatic dot-needle marking technology was used for marking,and the DM codes of four typical metal materials with low surface quality were obtained after heat treatment.The test results show that the technology can realize 100%identification of low quality DM two-dimensional codes marking at the metal surface,which provides technical guidance for the metal forging industry and other manufacturing industries to carry out quality control and information traceability.
关 键 词:金属锻件 DataMatrix码 复杂表面 直接零件标识 数据提取
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]
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