Marker-free identification of components for bearing rings

轴承套圈部件的无标记识别

• 批准号: 423957182
• 负责人: Professor Dr.-Ing. Jörn Ostermann
• 金额: --
• 依托单位: Institut für Informationsverarbeitung
• 依托单位国家: 德国
• 项目类别: Research Grants (Transfer Project)
• 财政年份: 2019
• 资助国家: 德国
• 起止时间: 2018-12-31 至 2020-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/423957182?language=en
• 关键词: Marker; free; identification; components; bearing

In the transfer project „Marker-free identification of components for bearing rings, the application partner Schaeffler promotes its activities in the field of Auto-ID. By using a component-inherent marker, expensive markers such as laser marking can be saved, surface alterations and impairments can be avoided and a hidden identification marker invisible to the human eye can be employed. By using this technology, Schaeffler will be enabled to identify individual bearing rings without additional marking process and to gather, record and analyze component-related data in consecutive manufacturing steps. In addition, marker-free component identification will complement the Industry 4.0 activities of the application partner.To this end, a method for individual component identification previously developed at the Institut für Informationsverarbeitung (TNT) at Leibniz Universität Hannover will be adopted to the production of bearing rings. Using this patent-pending method, a camera image of a surface portion of machined component will be assigned a “fingerprint”, which is stored in a database along with the corresponding ID. The functionality of this “fingerprinting” method was successfully evaluated by simulation, experiments and in the form of a demonstrator.The purpose of the transfer project is the further development and the adoption of existing algorithms for fully-automatic identification of individual bearing rings of different diameters, ranging from 10mm to 240mm. Here, the ground front face acts information-carrier area. For the intended application within the production process several modifications are necessary. First, a complete scan of the entire fingerprinting area in every process step is too time-consuming. Instead, only once at the start of the process chain the entire scan will be performed. At the consecutive read-out and identification stations, only a small sector of the circular ring will be imaged to perform the matching. Second, a scalable search- and matching algorithm will be developed, which is able to operate in real-time even on database with high numbers of pieces of several 10.000 or 100.000. The improved image processing algorithms then will implemented in a prototype installation in a productive grinding line. Finally, the system will be evaluated with respect to robustness and mass-production readiness.

在转让项目“轴承套圈部件的无标记标识”中，应用合作伙伴舍弗勒促进了其在自动标识领域的活动。通过使用组件固有的标记，可以节省昂贵的标记，例如激光标记，可以避免表面改变和损伤，并且可以使用人眼看不见的隐藏的识别标记。通过使用这项技术，舍弗勒将能够识别单个轴承套圈，而不需要额外的标记过程，并能够在连续的制造步骤中收集、记录和分析与部件相关的数据。此外，无标记部件识别将补充应用合作伙伴的Industry 4.0活动。为此，将采用汉诺威莱布尼兹大学信息研究所(TNT)先前开发的单个部件识别方法来生产轴承套圈。使用这种正在申请专利的方法，已加工零件表面的摄像机图像将被赋予“指纹”，并与相应的ID一起存储在数据库中。通过模拟、实验和演示的形式，成功地评估了这种“指纹”方法的功能。转移项目的目的是进一步开发和采用现有的算法来全自动识别不同直径(从10 mm到240 mm)的单个轴承套圈。在这里，地面正面扮演着信息载体的角色。对于生产过程中的预期应用，需要进行几次修改。首先，在每个处理步骤中对整个指纹区域进行完整的扫描太耗时。取而代之的是，只在过程链开始时执行一次整个扫描。在连续的读出和识别站，将只对圆形环的一小部分进行成像以执行匹配。其次，将开发一种可扩展的搜索和匹配算法，即使在数量高达10.000或100.000条的数据库上也能实时操作。然后，改进的图像处理算法将在生产性磨削生产线的原型安装中实施。最后，将从健壮性和批量生产准备情况方面对该系统进行评估。