Extended process of Industry 4.0 knowledge transfer using automation elements and hardware simulation
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23210%2F22%3A43966787" target="_blank" >RIV/49777513:23210/22:43966787 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Extended process of Industry 4.0 knowledge transfer using automation elements and hardware simulation
Popis výsledku v původním jazyce
The paper focuses on the presentation of actual outcomes related to the transfer of knowledge of the Industry 4.0 concept to specific employees who encounter Industry 4.0 technologies at work or plan to use them in the future and to students of industrial engineering. The transfer of knowledge begins with the introduction of technologies such as a collaborative robot and a sample production line as black boxes. Subsequently, using a kit based on the STEM principle, participants are exposed to the HW elements of these devices such as building blocks, sensors, etc., and methods for managing and controlling them, and methods of collecting data from these elements and the possibility of further processing this data. The article also describes the equipment in the specialized laboratories that we use for knowledge transfer.
Název v anglickém jazyce
Extended process of Industry 4.0 knowledge transfer using automation elements and hardware simulation
Popis výsledku anglicky
The paper focuses on the presentation of actual outcomes related to the transfer of knowledge of the Industry 4.0 concept to specific employees who encounter Industry 4.0 technologies at work or plan to use them in the future and to students of industrial engineering. The transfer of knowledge begins with the introduction of technologies such as a collaborative robot and a sample production line as black boxes. Subsequently, using a kit based on the STEM principle, participants are exposed to the HW elements of these devices such as building blocks, sensors, etc., and methods for managing and controlling them, and methods of collecting data from these elements and the possibility of further processing this data. The article also describes the equipment in the specialized laboratories that we use for knowledge transfer.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
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OECD FORD obor
20301 - Mechanical engineering
Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů