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The development of simulation and optimisation tools with an intuitive user interface to improve the operation of electric arc furnaces
ID
Tomažič, Simon
(
Avtor
),
ID
Škrjanc, Igor
(
Avtor
),
ID
Andonovski, Goran
(
Avtor
),
ID
Logar, Vito
(
Avtor
)
PDF - Predstavitvena datoteka,
prenos
(5,09 MB)
MD5: F290F0C6FCE2E7A95AC9A05F890B5D5D
URL - Izvorni URL, za dostop obiščite
https://www.mdpi.com/2075-1702/12/8/508
Galerija slik
Izvleček
The paper presents a novel decision support system designed to improve the efficiency and effectiveness of decision-making for electric arc furnace (EAF) operators. The system integrates two primary tools: the EAF Simulator, which is based on advanced mechanistic models, and the EAF Optimiser, which uses data-driven models trained on historical data. These tools enable the simulation and optimisation of furnace settings in real time and provide operators with important insights. A key objective was to develop a user-friendly interface with the Siemens Insights Hub Cloud Service and Node-RED that enables interactive management and support. The interface allows operators to analyse and compare past and simulated batches by adjusting the input data and parameters, resulting in improved optimisation and reduced costs. In addition, the system focuses on the collection and pre-processing of input data for the simulator and optimiser and uses Message Queuing Telemetry Transport (MQTT)communication between the user interfaces and models to ensure seamless data exchange. The EAF Simulator uses a comprehensive mathematical model to simulate the complex dynamics of heat and mass transfer, while the EAF Optimiser uses a fuzzy logic-based approach to predict optimal energy consumption. The integration with Siemens Edge Streaming Analytics ensures robust data collection and real-time responsiveness. The dual-interface design improves user accessibility and operational flexibility. This system has significant potential to reduce energy consumption by up to 10% and melting times by up to 15%, improving the efficiency and sustainability of the entire process.
Jezik:
Angleški jezik
Ključne besede:
electric arc furnace
,
energy consumption
,
process optimisation
,
decision support system
,
user interface
,
cloud services
,
Node-RED
Vrsta gradiva:
Članek v reviji
Tipologija:
1.01 - Izvirni znanstveni članek
Organizacija:
FE - Fakulteta za elektrotehniko
Status publikacije:
Objavljeno
Različica publikacije:
Objavljena publikacija
Leto izida:
2024
Št. strani:
17 str.
Številčenje:
Vol. 12, iss. 8, art. 508
PID:
20.500.12556/RUL-159887
UDK:
621.365.2:681.5
ISSN pri članku:
2075-1702
DOI:
10.3390/machines12080508
COBISS.SI-ID:
203067395
Datum objave v RUL:
29.07.2024
Število ogledov:
147
Število prenosov:
35
Metapodatki:
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Objavi na:
Gradivo je del revije
Naslov:
Machines
Skrajšan naslov:
Machines
Založnik:
MDPI
ISSN:
2075-1702
COBISS.SI-ID:
17129750
Licence
Licenca:
CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:
http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:
To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
Sekundarni jezik
Jezik:
Slovenski jezik
Ključne besede:
elektroobločna peč
,
poraba energije
,
optimizacija procesa
,
sistem za podporo odločanju
,
uporabniški vmesnik
,
storitve v oblaku
,
Node-RED
Projekti
Financer:
EC - European Commission
Številka projekta:
869815
Naslov:
Optimization and performance improving in metal industry by digital technologies
Akronim:
INEVITABLE
Financer:
ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
Številka projekta:
P2-0219
Naslov:
Modeliranje, simulacija in vodenje procesov
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