Reliable Identification Schemes for Asset and Production Tracking in Industry 4.0
| Autor: | Gergely Vida, Attila Franko, Pal Varga |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
IoT
Traceability Industry 4.0 Computer science 02 engineering and technology Asset (computer security) lcsh:Chemical technology 01 natural sciences Biochemistry Article Analytical Chemistry 0202 electrical engineering electronic engineering information engineering low-cost tracking Asset management lcsh:TP1-1185 Electrical and Electronic Engineering Instrumentation Supply chain management business.industry 010401 analytical chemistry 020206 networking & telecommunications Atomic and Molecular Physics and Optics 0104 chemical sciences Identification (information) Risk analysis (engineering) business asset tracking |
| Zdroj: | Sensors, Vol 20, Iss 3709, p 3709 (2020) Sensors (Basel, Switzerland) Sensors Volume 20 Issue 13 |
| ISSN: | 1424-8220 |
| Popis: | 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&mdash based on Ultra-Wideband (UWB) radio technology&mdash 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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