Industrial IoT Division, AITIA International Inc., 48-50, Czetz János u., 1039 Budapest, Hungary.
Department of Telecommunications and Media Informatics, Budapest University of Technology and Economics, 2, Magyar Tudósok krt., 1117 Budapest, Hungary.
Sensors (Basel). 2020 Jul 2;20(13):3709. doi: 10.3390/s20133709.
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.
在智能制造中,变革物流和供应链管理是工业 4.0 运动的主要目标之一。自主车辆、信息物理系统和数字孪生等新兴技术使这些领域能够实现高度自动化和优化的解决方案,从而实现对单个产品的完全可追溯性。跟踪车间和仓库内的各种资产是资产管理的重点;其目的是提高物流任务的效率。全球参与者基于最先进的技术实施自己的解决方案。然而,由于缺乏低成本和可靠的解决方案,中小型公司仍然对基于识别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,为工业 4.0 提供全球资产管理支持。该解决方案使用高精度基于超宽带 (UWB) 无线电技术的室内定位技术-结合基于 RFID 的跟踪功能。识别资产是这项工作最具挑战性的部分之一,因此本文重点介绍如何组合不同的识别方法,以方便高效、可靠的识别方案。