PREDICTION OF TEMPERATURE INSIDE A REFRIGERATED CONTAINER IN THE PRESENCE OF PERISHABLE GOODS

Javier Palafox-Albarrán, Reiner Jedermann, Walter Lang

2010

Abstract

This paper presents an alternative method to predict the temperature profile in a spatial point of the interior of a refrigerated container with the aim of improving the logistics of perishable goods. A SISO gray-box model in which the organic heat is represented by a non-linear feedback system and the cooling process represented by a linear system is proposed. Parameter adaptation and prediction algorithms for the model are modified to reduce the matrix dimensions, implemented in Matlab and applied to experimental data for validation. Apart from being highly accurate, the predictions comply with the desired figures of merit for the implementation in wireless sensor nodes, such as high robustness against quantization and enviromental noise. Simulation results concludes that if the cargo emits organic heat, the proposed model is faster and more accurate than the linear models.

References

1. Babazadeh, M., Kreowski, H.-J., Lang, W, 2008. Selective Predictors of Environmental Parameters in Wireless Sensor Networks. In International Journal of Mathematical Models and Methods in Applied Sciences Vol.2, pages 355-363.
2. Guo, F., 2004. A New Identification Method for Wiener and Hammerstein System. Ph.D. Thesis, Institut für Angewandte Informatik Forschungzentrum Karlsruhe. Karlsruhe.
3. Jedermann, R., Becker, M., Görg, C., Lang, W., 2010. Field Test of the Intelligent Container, In European Conference on Wireless Sensor Networks EWSN2010, 16-19 February 2010 in Coimbra, Portugal.
4. Landau, I.D., Zito G., 2006. Digital Control Systems: Design, identification and implementation. Springer. London, 1st edition.
5. Mercantila. 1989. Guide to food transport: fruit and vegetables. Mercantila Publ. Copenhagen.Moureh J., Flick, D., 2004. Airflow pattern and temperature distribution in a typical refrigerated truck configuration loaded with pallet. In International Journal of Refrigeration, V. 27, Issue 5, pages 464- 474.
6. Palafox J., 2009. Prediction of temperature in the transport of perishable goods based in On-line System Identification. M.Sc. Thesis, University of Bremen. Bremen.
7. Rouaud, O., Havet, M., 2002. Computation of the airflow in a pilot scale clean room using K-e turbulence models, In International Journal of Refrigeration, Vol. 25, Issue 3, pages 351-361.
8. Shaikh, N. I., Prabhu, V., 2007.Mathematical modeling and simulation of cryogenic tunnel freezers. In Journal of Food Engineering, Vol. 80, Issue2, pages 701-710.
9. Smale, N. J., Moureh,J., Cortella, G., 2007.A review of numerical models of airflow in refrigerated food applications. In International Journal of Refrigeration, Vol. 29, Issue 6, pages 911-930.

Paper Citation

in Harvard Style

Palafox-Albarrán J., Jedermann R. and Lang W. (2010). PREDICTION OF TEMPERATURE INSIDE A REFRIGERATED CONTAINER IN THE PRESENCE OF PERISHABLE GOODS . In Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-8425-00-3, pages 20-27. DOI: 10.5220/0002880100200027

in Bibtex Style

@conference{icinco10,
author={Javier Palafox-Albarrán and Reiner Jedermann and Walter Lang},
title={PREDICTION OF TEMPERATURE INSIDE A REFRIGERATED CONTAINER IN THE PRESENCE OF PERISHABLE GOODS},
booktitle={Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2010},
pages={20-27},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002880100200027},
isbn={978-989-8425-00-3},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - PREDICTION OF TEMPERATURE INSIDE A REFRIGERATED CONTAINER IN THE PRESENCE OF PERISHABLE GOODS
SN - 978-989-8425-00-3
AU - Palafox-Albarrán J.
AU - Jedermann R.
AU - Lang W.
PY - 2010
SP - 20
EP - 27
DO - 10.5220/0002880100200027