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Napovedovanje dobe uporabnosti na podlagi senzorskih podatkov v hladni verigi
Marolt, Klemen (Author), Trebar, Mira (Mentor) More about this mentor... This link opens in a new window

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Abstract
V celotni prehranski verigi se po svetu zavrže kar tretjino pridelane hrane. Kot enega od razlogov za takšne razmere se pogosto omenja neupoštevanje pogojev hranjenja hitro pokvarljivih živil. Za njih je pomembno vzdrževanje primernih temperatur v hladni verigi, kar zagotavlja ustrezno kvaliteto. V magistrski nalogi je bil razvit model za dinamično napovedovanje preostale dobe uporabnosti ribe, ki je bila pakirana v škatli iz stiropora in pokrita z ledom. Z različnimi testi so bile v procesu skladiščenja in transporta izmerjene temperature okolja in ribe. Arrheniusov model, model CSIRO in tabela SAL so bili uporabljeni za izračun in analizo dobe uporabnosti, ki se spreminja v odvisnosti od časa in temperatur ribe. Primerjava rezultatov in njeno dinamično spreminjanje sta bila skupaj s podatki obstoječih testov osnova za razvoj modela. Najprej se iz temperatur okolja določi temperature ribe in nato iz njih izračuna preostala doba uporabnosti v opazovanem procesu hladne verige. Za praktično uporabo modela je bila izdelana aplikacija na mobilnem čitalcu RFID, ki lahko kadarkoli prebere modul SL900A, prikaže dinamično spreminjanje temperatur okolja in iz njih izračuna preostalo dobo uporabnosti.

Language:Slovenian
Keywords:doba uporabnosti, hladna veriga, temperaturni senzorji RFID, dinamična napoved, model CSIRO
Work type:Master's thesis/paper (mb22)
Organization:FRI - Faculty of computer and information science
Year:2016
Views:711
Downloads:281
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Secondary language

Language:English
Title:Shelf life prediction based on sensor data in cold chain
Abstract:
It is estimated that every year one third of produced food is wasted worldwide during the supply chain. One of the main reasons for such situation is non-compliance with conditions of storage of perishable food. In order to ensure adequate quality it is important to maintain a required temperature during the whole cold chain. We developed a model for dynamic prediction of shelf life for fish that is packed in a box made of styrofoam and covered with ice. Various tests were made where environment and fish temperatures were measured during the storage and transport processes. Arrhenius model, model CSIRO and SAL table were used for prediction and analysis of shelf life which is a function of time and fish temperatures. Comparison of the results together with dynamically changing shelf life and existing tests data were used for model development. At first fish temperatures are calculated from environment temperatures. These are used for remaining shelf life calculation during the cold chain process. An application was developed for mobile RFID reader for practical use on the field. It reads data from RFID module SL900A, displays dynamically changing environment temperatures and predicts remaining shelf life.

Keywords:shelf life, cold chain, RFID temperature sensors, dynamic prediction, CSIRO model

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