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

Daniel Lütticke, Tobias Meisen
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引用次数: 2

Abstract

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.
复杂环境下RFID应答器自动测量系统的设计
随着工业向更灵活的制造过程发展,供应链管理和产品跟踪的主题变得越来越重要。要管理高度动态的生产过程,不仅要通过产品的类型,还要了解其位置和最重要的是其当前的构建状态来识别过程中的每个产品。使用RFID(无线射频识别)技术是解决这一问题的一个很有前途的解决方案。一方面,它的主要特点是使用无线电波进行非线性视觉识别,这在这种情况下有很大的好处。另一方面,这些优点也有相应的缺点。无线电波会严重干扰某些物质,如金属或液体。例如,将RFID转发器连接到汽车的各个部分,并试图在组装过程中读取这些转发器,例如监控生产状态,是一项艰巨的挑战。在本文中,我们提出了一种与人工智能相结合的自动门方法,以提高车内RFID应答器的读取率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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