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Design of an Automated Measuring System for RFID Transponders in Complex Environments

机译:复杂环境中RFID应答器自动测量系统的设计

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As industry moves towards more flexible manufacturing processes the topics supply chain management and product tracking gain more and more importance. Identifying each product in the process not only by its type but also knowing its location and most important its current state of build is necessary to manage highly dynamic production processes. Using RFID (radio frequency identification) technology is a promising solution to this task. On the one hand, its main feature of enabling non-line visual identification using radio waves is of great benefit in such scenarios. On the other hand, these advantages also have corresponding disadvantages. Radio waves interfere heavily with certain materials like metal or liquids. For example, attaching RFID transponders to the various parts of a car and attempting to read these transponders during the assembly process, e.g. to monitor the production status, is a difficult challenge. In this paper, we propose an automated gate approach in combination with artificial intelligence to improve the read rate of RFID transponders inside of vehicles.
机译:随着行业朝着更加灵活的制造流程发展,主题供应链管理和产品跟踪变得越来越重要。在管理过程中,不仅要根据产品的类型来识别每种产品,还要知道其位置,最重要的是要了解其当前的构建状态,才能管理高度动态的生产过程。使用RFID(射频识别)技术是解决此任务的有希望的解决方案。一方面,其使用无线电波实现非线性视觉识别的主要特征在这种情况下非常有用。另一方面,这些优点也具有相应的缺点。无线电波会严重干扰某些材料,例如金属或液体。例如,将RFID应答器连接到汽车的各个部分,并尝试在组装过程中读取这些应答器,例如:监视生产状态,是一项艰巨的挑战。在本文中,我们提出了一种结合人工智能的自动门方法,以提高车辆内RFID应答器的读取率。

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