The Intelligent Container - A Cognitive Sensor Net for Fruit Logistics

Walter Lang, Steffen Janßen, Reiner Jedermann

Abstract

The Intelligent Container is a wireless sensor network for the control of perishable goods such as vegetables, fruits or meat. Several data interpretation tools are implemented in the sensor nodes. These can estimate temperature related quality losses, supervise sensor deployment and measurement intervals, and detect malfunctioning sensors. In order to retrieve information about the ripening directly from the transported fruits, the ripening indicator ethylene is detected using a newly developed highly sensitive and selective gas measurement system. The intelligent container allows the realisation of the new logistic paradigm of dynamic FEFO (First Expire First Out): the remaining life time—estimated shelf life—of the transported fruits is used to control the logistic process. This paper describes the developments performed on the Intelligent Container by the University of Bremen and its partners.

References

  1. Ambaw, A.,Delele, M. A., Defraeye, T., Ho, Q. T., Opara, L. U., Nicolai, B. M., Verboven, P. 2013. The use of CFD to characterize and design post-harvest storage facilities: Past, present and future. Computers and Electronics in Agriculture. 93, 184-194.
  2. Ali, Syed; Ashraf-Khorassani, Mehdi; Taylor, Larry T.; Agah, Masoud: MEMS-Based Semi-Packed Gas Chromatography Columns. In: Sensors and Actuators B: Chemical Vol. 141 (2009), Nr. 1, S. 309-315.
  3. Agah, M.; Lambertus, G. R.; Sacks, R.; Wise, K.: HighSpeed MEMS-Based Gas Chromatography. In Journal of Microelectrmechanical Systems Vol. 15 (2006), Nr. 5, S. 1371-1378.
  4. Becker, M., Yuan, S., Jedermann, R., Timm-Giel, A., Lang, W., Görg, C.: Challenges of Applying Wireless Sensor Networks in Logistics. CEWIT 2009.
  5. Behrens, C., Bischoff, O., Lueders, M., Laur, R. 2007. Energy-efficient topology control for wireless sensor networks using online battery monitoring. In: Kleinheubacher Tagung 2006, U.R.S.I. Landesausschuss in der Bundesrepublik Deutschland e.V, Kassel.
  6. Bials, Jacob B.; Young, Roy E.; Olmstead, Alice J.: Fruit Respiration and Ethylene Production. In: Plant Physiol. Vol. 29 (1954), Nr. 2, S. 168-174.
  7. Crossbow. 2005. TelosB Mote platform.availabe at http://www.willow.co.uk/TelosB_Datasheet.pdf.
  8. Dittmer, P., Veigt, M., Becker, M., Dannies, A., Nehmiz, U., Hosse, M. 2013. Quality traceability from production to retail shelf. In: 5th International Workshop Cold Chain Management, University Bonn, Bonn, Germany.
  9. Fonollosa, J., Halford, B., Fonseca, L., Santander, J., Udina, S., Moreno, M.,& Marco, S. (2009). Ethylene optical spectrometer for apple ripening monitoring in controlled atmosphere store-houses. Sensors and Actuators B: Chemical, 136(2), 546-554.
  10. Ingelrest, F., Barrenetxea, G., Schaefer, G., Vetterli, M., Couach, O., Parlange, M. 2010. SensorScope: Application-specific sensor network for environmental monitoring. ACM Trans. Sen. Netw. 6, 1-32.
  11. Jabbari, A., Jedermann, R., Muthuraman, R., Lang, W. 2009. Application of Neurocomputing for Data Approximation and Classification in Wireless Sensor Networks. Sensor Journal. 9, 3056-3077.
  12. Janßen, S.; Lang, W., "Ethylene Measurement for Fruit Logistic Process in a Range of 400 ppbv and below," in 5th International Cold Chain Management Workshop, Bonn, Germany, 2013, p. 6.
  13. Jedermann, R., Edmond, J. P., Lang, W. 2008. Shelf life prediction by intelligent RFID. In: Dynamics in Logistics. First International Conference, LDIC 2007, (H. D. Hassis, H. J. Kreowski, B. Scholz-Reiter, eds.) pp. 231-238, Springer, Berlin/Heidelberg.
  14. Jedermann, R., Lang, W.: The Benefits of Embedded Intelligence - Tasks and Applications for Ubiquitous Computing in Logistics. The internet of things 2008, pp.105-122.
  15. Jedermann, R., Lang, W. 2009. The minimum number of sensors - Interpolation of spatial temperature profiles. In: Wireless Sensor Networks, 6th European Conference, EWSN 2009, Lecture Notes in Computer Science (LNCS), (U. Rödig, C.J. Sreenan, eds.) pp. 232-246, Springer, Berlin/Heidelberg.
  16. Jedermann, R., Becker, M., Görg, C., Lang, W. 2011. Testing network protocols and signal attenuation in packed food transports. International Journal of Sensor Networks (IJSNet). 9, 170-181.
  17. Jedermann, R., Dannies, A., Moehrke, A., Praeger, U., Geyer, M., Lang, W. 2013. Supervision of transport and ripening of bananas by the Intelligent Container In: 5th International Cold Chain Management Workshop 2013, University Bonn, Germany, Bonn, Germany.
  18. Koutsoumani, K., Taoukis, P. S., Nychas, G. J. E. 2005. Development of a safety monitoring and assurance system for chilled food products. International Journal of Food Microbiology. 100, 253-260.
  19. Krige, D. G. 1951. A statistical approach to some mine valuations and allied problems at the Witwatersrand. University of Witwatersrand.
  20. MCB Microsystems Center Bremen. 2013. Homepage of the Intelligent Container project. Bremen, Germany, availabe at www.intelligentcontainer.com.
  21. Palafox-Albarrán, J., Jedermann, R., Lang, W. 2011. Energy-Efficient Parameter Adaptation and Prediction Algorithms for the Estimation of Temperature Development Inside a Food Container. In: Lecture Notes in Electrical Engineering - Informatics in Control, Automation and Robotics, (A.J. Cetto, J.-L. Ferrier, J. Filipe, eds.) pp. 77-90, Springer, Berlin.
  22. Scharnow, R. 2005. Die Ware im Container. In: Containerhandbuch, (Y. Wild, R. Scharnow, M. Rühmann, eds.) pp. 107-390, Gesamtverband der Deutschen Versicherungswirtschaft e.V. (GDV), Berlin.
  23. Scheer, F. P. 2006. Optimising supply chains using traceability systems. In: Improving traceability in food processing and distribution, (I. Smith, A. Furness, eds.) pp. 52 - 64, Woodhead Publishing Ltd., Cambridge, England.
  24. Sklorz, A., Janßen, S., Lang, W.: Detection limit improvement for NDIR ethylene gas detectors using passive approaches. Sensors and Actuators B,175 (2012) 246-254.
  25. Sklorz, A., Janßen, S., Lang, W.: Application of a miniaturized packed gas chromatography column and a SnO2 gas detector for analysis of low molecular weught hydrocarbons with focus on ethylene detection. Sensors and Actuators B 180 (2013).
  26. Tian, W. C.; Pang, S. W.; Chia-Jung, L.; Zellers, E. T.: Microfabricated Preconcentrator-Focuser for a Microscale Gaschromatograph. In Journal of Microelectromechanical Systems Vol. 12 (2003), Nr. 3, S. 264-272.
  27. Tijskens, L. M. M., Polderdijk, J. J. 1996. A generic model for keeping quality of vegetable produce during storage and distribution. Agricultural Systems. 51, 431-452.
  28. Tsironi, T. E., Gogou, P., Taoukis, P. S. 2008. Chill chain management and shelf life optimization of MAP seabream fillets: a TTI based alternative to FIFO. In: Coldchain Management . 3rd International Workshop, (J. Kreyenschmidt, ed.) pp. 83 - 89, Bonn, Germany.
  29. Turner, D. W. 1997. Bananas and plantains. In: Postharvest physiology and storage of tropical and subtropical fruits, (S. K. Mitra, ed.) pp. 47-83, CAB International.
  30. Virtenio. 2013. Preon32 - Wireless Module data sheet. Berlin, Germany,availabe at http://www.virtenio.com/ en/assets/downloads/datenblaetter/DS_Preon32_v15_2 page%20%5BEN%5D.pdf.
  31. Wang, X., Jabbari, A., Laur, R., Lang, W. 2010. Dynamic Control of Data Measurement Intervals in a Networked Sensing System using Neurocomputing. In: International Conference on Networked Sensing Systems (INSS 2010), Kassel.
  32. Wang, X., Yuan, S., Laur R., Lang W.: Dynamic localisation based on spatial reasoning with RSSI in wireless sensor networks for transport logistics. Sensors and Actuators A 171 (2011) 421-428.
  33. Zhang, Rhong: Tejedor, M.; Anderson, M.; Paulose, M.; Crimes, C.: Eythylene Detection Using Nanoporous PtTiO2 Coatings Aplliedmto Magnetoelextic Thick Films. In Sensors Vol. 2 (2002), Nr. 8, S. 331-338.
  34. Zweig, S. E. 2008. Life Track technology for smart activelabel visual and RFID product lifetime monitoring. In: Coldchain Management, 3rd International Workshop, (J. Kreyenschmidt, ed.) pp. 29-36, University of Bonn, Bonn, Germany.
Download


Paper Citation


in Harvard Style

Lang W., Janßen S. and Jedermann R. (2014). The Intelligent Container - A Cognitive Sensor Net for Fruit Logistics . In Proceedings of the 3rd International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-001-7, pages 351-359. DOI: 10.5220/0004705703510359


in Bibtex Style

@conference{sensornets14,
author={Walter Lang and Steffen Janßen and Reiner Jedermann},
title={The Intelligent Container - A Cognitive Sensor Net for Fruit Logistics},
booktitle={Proceedings of the 3rd International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2014},
pages={351-359},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004705703510359},
isbn={978-989-758-001-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - The Intelligent Container - A Cognitive Sensor Net for Fruit Logistics
SN - 978-989-758-001-7
AU - Lang W.
AU - Janßen S.
AU - Jedermann R.
PY - 2014
SP - 351
EP - 359
DO - 10.5220/0004705703510359