Industry 4.0 And Training Factories For Data Generation And Verification
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23210%2F21%3A43966792" target="_blank" >RIV/49777513:23210/21:43966792 - isvavai.cz</a>
Result on the web
<a href="https://ibima.org/accepted-paper/industry-4-0-and-training-factories-for-data-generation-and-verification/" target="_blank" >https://ibima.org/accepted-paper/industry-4-0-and-training-factories-for-data-generation-and-verification/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Industry 4.0 And Training Factories For Data Generation And Verification
Original language description
The paper is a short research of articles published mainly in the Web of Science (WoS) and Scopus databases, focused on the use of hardware models for data collection, creation of digital twins, or e.g. for verification of new algorithms, optimization of processes and algorithms, education of students, employees, etc. This research will serve as a basic overview of the possibilities, the building blocks and important parts used and how to manage them for a PhD project focused on data collection by industrial engineers from a learning/teaching factory.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
20301 - Mechanical engineering
Result continuities
Project
<a href="/en/project/EF19_073%2F0016931" target="_blank" >EF19_073/0016931: Improving the quality of the internal grant structure at UWB</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů