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Title:Napovedno vzdrževanje
Authors:ID Lorger, Žiga (Author)
ID Bratina, Božidar (Mentor) More about this mentor... New window
ID Karner, Timi (Mentor) More about this mentor... New window
ID Krivec, Marko (Comentor)
Files:.pdf MAG_Lorger_Ziga_2024.pdf (7,05 MB)
MD5: BA2A5B592BB7F81F93041F4898799CA5
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V magistrskem delu bomo opisali sistem napovednega vzdrževanja, ki smo ga ustvarili v povezavi s podjetjem Gorenje gospodinjski aparati, d. o. o. V prvem delu se bomo spoznali z uporabljeno strojno opremo ter jo ustrezno povezali. V nadaljevanju bo sledila konfiguracija posameznih komponent v programskih okoljih SOPAS ET in TIA Portal, dodali bomo tudi program za pošiljanje sporočil o napakah. Vzpostavili bomo komunikacijo med PLK in Raspberry Pi s pomočjo MQTT-protokola. Sledila bo konfiguracija Raspberry Pi mikroračunalnika in obdelava prejetih sporočil. V zadnjem delu bomo ustvarili SKADA-sistem za javljanje napak. V zaključku dela bomo izvedli še preverjanje delovanja celotnega sistema.
Keywords:Avtomatizacija, okvara, napovedno vzdrževanje, PLK, Raspberry Pi, SKADA
Place of publishing:Maribor
Publisher:[Ž. Lorger]
Year of publishing:2024
PID:20.500.12556/DKUM-90610 New window
UDC:681.5:658.58(043.2)
COBISS.SI-ID:224508675 New window
Publication date in DKUM:22.10.2024
Views:178
Downloads:53
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:10.09.2024

Secondary language

Language:English
Title:Predictive maintenance
Abstract:In the master thesis we will describe the predictive maintenance system that we created in connection with the company Gorenje gospodinjski aparati d.o.o. In the first part, we will learn about the hardware that we used and connect it accordingly. In the following, the configuration of individual components in the SOPAS ET and TIA Portal software environments will follow, we will also add a program for sending error messages. We will establish communication between PLC and Raspberry Pi using the MQTT protocol. Next will be the configuration of the Raspberry Pi microcomputer and the processing of received messages. In the last part, we will create a SCADA system for reporting errors. At the end of the work, we will also check the functioning of the entire system.
Keywords:Automatization, failures, predictive maintenance, PLC, Raspberry Pi, SCADA


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