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Reliable Identification Schemes for Asset and Production Tracking in Industry 4.0.
Sensors ( IF 3.4 ) Pub Date : 2020-07-02 , DOI: 10.3390/s20133709
Attila Frankó 1 , Gergely Vida 1 , Pal Varga 2
Affiliation  

Revolutionizing logistics and supply chain management in smart manufacturing is one of the main goals of the Industry 4.0 movement. Emerging technologies such as autonomous vehicles, Cyber-Physical Systems and digital twins enable highly automated and optimized solutions in these fields to achieve full traceability of individual products. Tracking various assets within shop-floors and the warehouse is a focal point of asset management; its aim is to enhance the efficiency of logistical tasks. Global players implement their own solutions based on the state of the art technologies. Small and medium companies, however, are still skeptic toward identification based tracking methods, because of the lack of low-cost and reliable solutions. This paper presents a novel, working, reliable, low-cost, scalable solution for asset tracking, supporting global asset management for Industry4.0. The solution uses high accuracy indoor positioning—based on Ultra-Wideband (UWB) radio technology—combined with RFID-based tracking features. Identifying assets is one of the most challenging parts of this work, so this paper focuses on how different identification approaches can be combined to facilitate an efficient and reliable identification scheme.

中文翻译:

工业4.0中资产和生产跟踪的可靠识别方案。

革新智能制造中的物流和供应链管理是工业4.0运动的主要目标之一。自动驾驶汽车,网络物理系统和数字孪生等新兴技术使这些领域的自动化和优化解决方案实现了单个产品的完全可追溯性。跟踪车间和仓库中的各种资产是资产管理的重点;其目的是提高后勤任务的效率。全球参与者基于最先进的技术实施自己的解决方案。但是,由于缺乏低成本和可靠的解决方案,中小型公司仍对基于标识的跟踪方法持怀疑态度。本文提出了一种新颖,可行,可靠,低成本,可扩展的资产跟踪解决方案,支持Industry4.0的全球资产管理。该解决方案使用基于超宽带(UWB)无线电技术的高精度室内定位以及基于RFID的跟踪功能。识别资产是这项工作中最具挑战性的部分之一,因此,本文重点讨论如何组合不同的识别方法以促进有效且可靠的识别方案。
更新日期:2020-07-02
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