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%2F61989100%3A27360%2F18%3A10241665" target="_blank" >RIV/61989100:27360/18:10241665 - isvavai.cz</a>

Alternative codes found

RIV/61989100:27360/17:10238481

Result on the web

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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 data collection solutions that are used to optimize the heating furnace control model. The applicability of outputs in practice is also mentioned, especially in the context of changing data processing requirements related to the increasingly applied Industry 4.0 based on information and knowledge acquisition, which often remain hidden in traffic data. The use of wealth that is often hidden in operational data (such as correlation between variables, but also indications of technological indiscipline, or errors in non-automated data collection and recording) is a prerequisite for implementing Industry 4.0 policies.

Czech name

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Czech description

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Type

J_ost - Miscellaneous article in a specialist periodical

CEP classification

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OECD FORD branch

20205 - Automation and control systems

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Hutnické listy

ISSN

0018-8069

e-ISSN

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Volume of the periodical

LXXI

Issue of the periodical within the volume

2

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

4

Pages from-to

3-6

UT code for WoS article

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EID of the result in the Scopus database

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