The Use of Data Mining for the Optimization of the Control Model of the Reheating Furnace

Result code in 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>
Result on the web
<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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Result language
angličtina
Original language name
The Use of Data Mining for the Optimization of the Control Model of the Reheating Furnace
Original language description
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.
Czech name
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Czech description
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Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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