A NEW APPROACH FOR MODELING ENVIRONMENTAL CONDITIONS USING SENSOR NETWORKS

Mehrdad Babazadeh, Walter Lang

Abstract

An approach to estimate environmental conditions (ECs), temperature, relative humidity and air flow in a few desired sensor nodes in a wireless sensor network, slept for reducing battery-consumption or inactive due to either empty batteries or out-of-range is presented. A nonlinear, multivariable model containing the interconnections is extracted and using data of surrounding active sensor nodes is broken to the linear models. Unknown parameters of the model are verified by a multivariable identification method. The proposed approach is independent of the type of ventilation system. It can be used in different applications such as designing model base ECs controllers as well as an estimator in fault diagnosis methods.

References

  1. Ghiaus, C., Chicinas, A. and Inard, C., April 2007, ”Greybox identification of air-handling unit elements, Control Engineering Practice”, Vol.15, Issue 4, pp. 421-433.
  2. Shaikh, N. I and Prabhu, V., May 2007,”Mathematical modeling and simulation of cryogenic tunnel freezers”, Journal of Food Engineering, Vol. 80, Issue 2, pp 701-710.
  3. Smale, N.J., Moureh, J. and Cortella, G., Sep. 2006, ”A review of numerical models of airflow in refrigerated food applications”, International Journal of Refrigeration, Vol. 29, Issue 6, pp. 911-930.
  4. Van Brecht, A., Quanten, S., Zerihundesta, T., Van Buggenhout, S. and Berckmans, D., 20 Jan. 2005, “Control of the 3-D spatio-temporal distribution of air temperature”, International Journal of Control, 78:2, pp. 88- 99.
  5. Zerihun Desta, T., Van Brecht, A., Meyers, J., Baelmans, M. and Berckmans, D., June 2004, ”Combining CFD and data-based mechanistic (DBM) modeling approaches, Energy and Buildings”, Vol. 36, Issue 6, pp 535-542.
  6. Frausto, H. U. and Jan G. Pieters, Jan.2004, ”Modeling greenhouse temperature using system identification by means of neural networks”, Neurocomputing, Vol. 56, pp.423-428.
  7. J. Moureh and Flick, D., Aug. 2004; ”Airflow pattern and temperature distribution in a typical refrigerated truck configuration loaded with pallets”, International Journal of Refrigeration, V. 27, Issue 5, pp. 464-474.
  8. Rouaud, O. and Havet, M., May 2002, ”Computation of the airflow in a pilot scale clean room using Kturbulence models”, International Journal of Refrigeration, Vol. 25, Issue 3, pp. 351-361.
  9. Sohlberg B., May 2002, Apr. 2003, ”Grey box modeling for model predictive control of a heating process”, Journal of Process Control, Vol. 13, Issue 3, pp. 225- 238.
  10. J. Elson and D. Estrin. Sensor Networks: A Bridge to the Physical World, chapter 1. Wireless Sensor Networks. Kluwer Academic Publishers, 2004.
Download


Paper Citation


in Harvard Style

Babazadeh M. and Lang W. (2008). A NEW APPROACH FOR MODELING ENVIRONMENTAL CONDITIONS USING SENSOR NETWORKS . In Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO, ISBN 978-989-8111-32-6, pages 78-83. DOI: 10.5220/0001477800780083


in Bibtex Style

@conference{icinco08,
author={Mehrdad Babazadeh and Walter Lang},
title={A NEW APPROACH FOR MODELING ENVIRONMENTAL CONDITIONS USING SENSOR NETWORKS},
booktitle={Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,},
year={2008},
pages={78-83},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001477800780083},
isbn={978-989-8111-32-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,
TI - A NEW APPROACH FOR MODELING ENVIRONMENTAL CONDITIONS USING SENSOR NETWORKS
SN - 978-989-8111-32-6
AU - Babazadeh M.
AU - Lang W.
PY - 2008
SP - 78
EP - 83
DO - 10.5220/0001477800780083