Daljinsko upravljanje dijelom procesa proizvodnje piva

master's thesis

• Title (english): Cloud-based control of a brewing production process segment
• Author: Antun Blažić
• Mentor: Vinko Lešić (mentor)
• Committee member: Vinko Lešić (član povjerenstva)
• Committee member: Mario Vašak (član povjerenstva)
• Committee member: Branimir Novoselnik (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2025-02-21, Croatia

Abstract

Ovaj rad bavi se daljinskim upravljanjem dijelom procesa proizvodnje piva, s naglaskom
na automatizaciju sustava čišćenja (CIP – Clean-In-Place). Implementacija automatiziranog
CIP sustava omogućila je povećanje higijenskih standarda, smanjenje operativnih
troškova te optimizaciju potrošnje resursa poput vode, kemikalija i energije.
Korištenjem Brewmaxx sustava osigurano je modularno i fleksibilno upravljanje procesima,
dok je primjenom standarda ISA-88 poboljšana struktura proceduralnog upravljanja,
čime su povećana efikasnost i sljedivost postupaka.
Poseban naglasak stavljen je na prikupljanje i obradu podataka, koji su ključni za praćenje
performansi sustava i donošenje informiranih odluka. Implementacijom senzora
i aktuatora omogućeno je kontinuirano praćenje radnih parametara, dok je pohrana podataka
u bazu osigurala arhivu potrebnu za analizu i optimizaciju procesa. Korištenjem
prediktivne analize i algoritama strojnog učenja, poput linearne regresije, analizirani su
trendovi trošenja industrijskih ventila. Na temelju prikupljenih podataka predviđeni su
trenuci kada će pojedini ventili doseći prag servisiranja, čime je omogućeno pravovremeno
održavanje i smanjenje rizika od kvarova.

Abstract (english)

This paper focuses on remote control of a segment of the beer production process,
with an emphasis on the automation of the Clean-In-Place (CIP) system. The implementation
of an automated CIP system has improved hygiene standards, reduced operational
costs, and optimized resource consumption, including water, chemicals, and
energy. The use of the Brewmaxx system has enabled modular and flexible process management,
while the application of the ISA-88 standard has enhanced procedural control,
improving efficiency and traceability.
Special emphasis is placed on data collection and processing, which are crucial for
monitoring system performance and making informed decisions. The implementation
of sensors and actuators has enabled continuous monitoring of operational parameters,
while data storage in a database has provided an archive necessary for analysis and process
optimization. By applying predictive analysis and machine learning algorithms,
such as linear regression, trends in industrial valve wear have been analyzed. Based
on the collected data, the moments when individual valves will reach their servicing
threshold have been predicted, enabling timely maintenance and risk reduction of failures.
This approach optimizes system performance, increases equipment reliability, and
allows for better maintenance planning, reducing costs and ensuring the stability of industrial
processes.

• Keywords: automatizacija; PLC; CIP sustav (Clean-In-Place); Brewmaxx; SQL; Python
• Keywords (english): Automation; PLC; CIP system (Clean-In-Place); Brewmaxx; SQL; Python
• Language: croatian
• URN:NBN: urn:nbn:hr:168:591139
• Study programme: Title: Information and Communication Technology; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije (magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2025-03-12 11:05:42