Abstract
This study was conducted to monitor quality indices and distribution history during cold-chain distribution of fresh food such as chicken meat. In order to monitor quality indices, temperature data during distribution process were collected in real time by using 424MHz Radio Frequency sensor tag and wireless sensor network (WSN). We constructed the quality monitoring system that embedded the quality prediction algorithm. The quality monitoring system contains quality prediction model and calculates and saves quality index in real time, inter-working with quality prediction algorithm according to transmission of environmental information through WSN/CDMA. Various quality prediction algorithms were developed using specific prediction tools such as predictive microbiology, Arrhenius equation and Weibull distribution, and so on. When applying real time quality monitoring system to actual field, prediction was excellent within the 95% prediction interval.
Original language | English |
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Title of host publication | ICR 2019 - 25th IIR International Congress of Refrigeration |
Editors | Vasile Minea |
Publisher | International Institute of Refrigeration |
Pages | 2980-2987 |
Number of pages | 8 |
ISBN (Electronic) | 9782362150357 |
DOIs | |
Publication status | Published - 2019 |
Event | 25th IIR International Congress of Refrigeration, ICR 2019 - Montreal, Canada Duration: 24 Aug 2019 → 30 Aug 2019 |
Publication series
Name | Refrigeration Science and Technology |
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Volume | 2019-August |
ISSN (Print) | 0151-1637 |
Conference
Conference | 25th IIR International Congress of Refrigeration, ICR 2019 |
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Country/Territory | Canada |
City | Montreal |
Period | 24/08/19 → 30/08/19 |
Bibliographical note
Publisher Copyright:© 2019 International Institute of Refrigeration. All rights reserved.
Keywords
- Cold-chain
- Dynamic prediction
- Fresh food
- Internet of Thing
- Quality monitoring