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MODELLING OF DATA LIFE CYCLE IN AUTOID SYSTEMS USING WITNESS ENVIRONMENT

Libor Kavka

First published: 2018-06-20https://doi.org/10.5593/sgem2018/5.4/s22.027View metrics

Abstract

Paper focused on extension of usage of the AutoID model of transport system in laboratory. Transport model is equipped by complex AutoID system based on RFID and magnetic sensors. They are used to gather information from transport processes. The aim of solution presented in paper is to describe data flows in this physical model and to design representation of data flows and processing in simulation system Witness. This kind of model can better present behavior of data background to students and make them better understand principles. Further development is discussed too. We suppose to use real data from the model to be processed in simulation environment. Presented model is part of simulation model created for support of education of branches Information for logistics and Transport logistics for bachelor?s degree students and Logistics for master?s degree students.

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Publication details

Title
MODELLING OF DATA LIFE CYCLE IN AUTOID SYSTEMS USING WITNESS ENVIRONMENT
Authors
Libor Kavka
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 18th International Multidisciplinary Scientific GeoConference SGEM2018, Ecology, Economics, Education and Legislation
Publisher
STEF92 Technology
Year
2018
Pages
209-216
SWS Citekey
Kavka201822209216
ISSN
1314-2704
ISBN
978-619-7408-49-2
Language
en
Publication type
Conference Paper
Keywords
References4
  1. Kodym, O., Beneš, F., Švub, J.: EPC Application Framework in the context of Internet of Things. 16th International Carpathian Control Conference. 2015. DOI: 10.1109/CarpathianCC.2015.7145076

  2. GS1: GS1 Object Name Service (ONS). Ratified Standard. Issue 2 January 31, 2013. [on-line] http://www.gs1.org/gsmp/kc/epcglobal/ons/ ons_2_0_1-standard-20130131.pdf

  3. Marik, V., Beran, H., Bizková, R., Bunček, M., Burčik, J., Burget, P., et al.: Industry 4.0, National initiative, Ministry of Industry and Trade of Czech Republic, 2015

  4. Peterek, K., Kavka, L., Flokova, L.: Automatic Identification at Railway as Data Source for Spatial Analysis. 17th International Multidisciplinary Scientific GeoConference SGEM 2017; In Print; Albena; Bulgaria

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