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Title:Razvoj kiberfizičnega sistema za obravnavo načel industrije 4.0
Authors:ID Tepeš, Jon (Author)
ID Škraba, Andrej (Mentor) More about this mentor... New window
Files:.pdf UN_Tepes_Jon_2025.pdf (4,77 MB)
MD5: 98AFBEADE91D09B835D1E15C2063D419
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FOV - Faculty of Organizational Sciences in Kranj
Abstract:Namen diplomskega dela je bil razvoj cenovno dostopnega in modularnega kiberfizičnega sistema za praktično učenje principov Industrije 4.0, saj je dostop do industrijske opreme omejen in drag. Sistem sestavlja fizični model avtomatizirane linije, ki ga uporabnik upravlja preko spletnega vmesnika z interaktivnim digitalnim dvojčkom. Komunikacija med fizičnimi moduli, krmiljenimi z mikrokrmilniki ESP32, in centralnim strežnikom na Raspberry Pi, poteka v realnem času preko protokolov MQTT in Socket.IO. Rezultat je delujoč prototip, ki uspešno demonstrira cikel sortiranja po barvah in dokazuje, da je z odprtokodnimi tehnologijami mogoče zgraditi učinkovito izobraževalno platformo. Delo tako premošča vrzel med teorijo in prakso na področju industrijske avtomatizacije.
Keywords:Industrija 4.0, kiberfizični sistem, digitalni dvojček, internet stvari, izobraževalna platforma
Place of publishing:Kranj
Year of publishing:2025
PID:20.500.12556/DKUM-94073 New window
COBISS.SI-ID:250892547 New window
Publication date in DKUM:29.09.2025
Views:120
Downloads:38
Metadata:XML DC-XML DC-RDF
Categories:FOV
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Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:30.07.2025

Secondary language

Language:English
Title:Development of a cyber-physical system for demonstrating industry 4.0 principles
Abstract:The aim of this thesis was to develop a low-cost, modular cyber-physical system for the practical learning of Industry 4.0 principles, addressing the challenge of limited access to expensive industrial equipment. The system consists of a physical model of an automated line, which the user controls via a web interface featuring an interactive digital twin. Real-time communication between the physical modules, controlled by ESP32 microcontrollers, and a central server on a Raspberry Pi is handled using MQTT and Socket.IO protocols. The result is a working prototype that successfully demonstrates a color-based sorting cycle, proving that an effective educational platform can be built using open-source technologies. The work thus bridges the gap between theory and practice in the field of industrial automation.
Keywords:Industry 4.0, Cyber-Physical System, Digital Twin, Internet of Things, Educational Platform


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