The Use of Data Mining for the Optimization of the Control Model of the Reheating Furnace
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F04130081%3A_____%2F19%3AN0000017" target="_blank" >RIV/04130081:_____/19:N0000017 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.hutnickelisty.cz/wp-content/uploads/2019/10/HL2-2018www.pdf" target="_blank" >https://www.hutnickelisty.cz/wp-content/uploads/2019/10/HL2-2018www.pdf</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
The Use of Data Mining for the Optimization of the Control Model of the Reheating Furnace
Popis výsledku v původním jazyce
This paper focuses on a brief overview of theoretical and methodological solutions of Data Mining that are used for the Optimization of the Control Model of the Reheating Furnace. It is also mentioned the applicability of outputs in practice, especially in the context of the changing requirements of data processing related with the increasing manifestations of the vision Industry 4.0, which places great emphasis on the extraction of information and knowledge, which often remain hidden in the operating data. The use of wealth that is often hidden in operating data (for example, the correlation between variables, but also indications of technological inconvenience or errors in non-automated data collection and recording) is a basic prerequisite for the implementation of Industry 4.0 principles. The usability of modeling is also important in business practice outside the metallurgical field.
Název v anglickém jazyce
The Use of Data Mining for the Optimization of the Control Model of the Reheating Furnace
Popis výsledku anglicky
This paper focuses on a brief overview of theoretical and methodological solutions of Data Mining that are used for the Optimization of the Control Model of the Reheating Furnace. It is also mentioned the applicability of outputs in practice, especially in the context of the changing requirements of data processing related with the increasing manifestations of the vision Industry 4.0, which places great emphasis on the extraction of information and knowledge, which often remain hidden in the operating data. The use of wealth that is often hidden in operating data (for example, the correlation between variables, but also indications of technological inconvenience or errors in non-automated data collection and recording) is a basic prerequisite for the implementation of Industry 4.0 principles. The usability of modeling is also important in business practice outside the metallurgical field.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
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OECD FORD obor
20204 - Robotics and automatic control
Návaznosti výsledku
Projekt
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Návaznosti
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů