Tuesday August 27, 2019 from 13:30 to 15:10
Cold-chain monitoring of fresh food distribution converging internet of thing and dynamic prediction technology
Byeong-Sam Kim1, Ji-Young Kim1, Jong-Hoon KIm1, Ki-Hyun Kwon1, Seung-IL Oh1, He-Ok Lee1, Junemo Koo2, Samuel M Yimenu3.
1Korea Food Research Institute, Wanju, Korea; 2Kyung Hee University, Suwon, Korea; 3University of Science and Technology, Daejeon, Korea
This study was conducted to monitor quality indices and distribution history during cold-chain distribution of fresh food such as milk, eggs, Kimchi and 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.