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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F17%3A10238481" target="_blank" >RIV/61989100:27360/17:10238481 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27360/18:10241665

Výsledek na webu

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DOI - Digital Object Identifier

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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

The paper presents basic data mining tools for optimizing the control model of the reheating furnace. It highlights data pre-processing as an important step in the data mining process mainly due to the frequent manifestations of technological indiscipline and problems with scanning the operating values of reheating furnace; its control system collects for the purpose of monitoring a number of operational data and its databases are as simple as possible; each trend is usually stored in a separate table. The aim of the paper is to demonstrate the possibilities of pre-processing data from the walking beam furnace in order to make them suitable for subsequent use for estimation parameters for the model chosen to refine the predictive properties of the selected model. These planned activities should also lead to the fulfillment of certain parts of the national program Industry 4.0 in the area of creating a &quot;digital enterprise&quot;.

Název v anglickém jazyce

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

Popis výsledku anglicky

The paper presents basic data mining tools for optimizing the control model of the reheating furnace. It highlights data pre-processing as an important step in the data mining process mainly due to the frequent manifestations of technological indiscipline and problems with scanning the operating values of reheating furnace; its control system collects for the purpose of monitoring a number of operational data and its databases are as simple as possible; each trend is usually stored in a separate table. The aim of the paper is to demonstrate the possibilities of pre-processing data from the walking beam furnace in order to make them suitable for subsequent use for estimation parameters for the model chosen to refine the predictive properties of the selected model. These planned activities should also lead to the fulfillment of certain parts of the national program Industry 4.0 in the area of creating a &quot;digital enterprise&quot;.

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název periodika

Hutnické listy

ISSN

0018-8069

e-ISSN

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Svazek periodika

LXX

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

4

Strana od-do

39-42

Kód UT WoS článku

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EID výsledku v databázi Scopus

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