Title: Využití automatické identifikace a sběru dat prostřednictvím radiofrekvenčních technologií v prostředí průmyslu 4.0
Authors: Polívka, Martin
Dvořáková, Lilia
Citation: Trendy v podnikání = Business trends : vědecký časopis Fakulty ekonomické ZČU v Plzni. 2019, roč. 9, č. 2, s. 53-61.
Issue Date: 2019
Publisher: Západočeská univerzita v Plzni
Document type: article
článek
URI: https://drive.google.com/open?id=1iRKw2Svir9sdXL-cxDzOdEbgRkRrt7cy
http://hdl.handle.net/11025/36226
ISSN: 1805-0603
Keywords: AIDC;automatická identifikace a sběr dat;průmysl 4.0;identifikace frekvence rádia;RFID
Keywords in different language: AIDC;automatic identification and data capture;industry 4.0;radio frequency identification;RFID
Abstract in different language: This article presents results of research dealing with the usage of automatic identification and data capture based on the radio frequency identification technology in the environment of Industry 4.0. This topic is actual both for academic theory and for practical business, as in the current business environment there is the undeniable and rising need of fast, accurate and cost-effective acquirement of data for the purposes of process management and controlling. Technologies of automatic identification and data capture can be successfully used to fulfil such need, assuming the right technology is chosen. Results of conducted research show, that the radio frequency identification technology can be successfully used in particular components of Industry 4.0, such as big data, system integration and internet of things. The results also show, that only the ultra-high and high frequency variants of radio frequency identification technologies are suitable for the applications connected to the Industry 4.0 concept. The low frequency variant of this technology is too limited by its technical restriction, especially the low velocity and possible distance of reading, to be of any use for such applications.
Rights: © Západočeská univerzita v Plzni
Appears in Collections:Články / Articles (KFU)
Číslo 2 (2019)
Číslo 2 (2019)

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