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PackSens: A Condition and Transport Monitoring System Based on an Embedded Sensor Platform

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Abstract

As a consequence of the growing globalization, transports which need a safe handling are increasing. Therefore, this paper introduces an innovative transport and condition monitoring system based on a mobile embedded sensor platform. The platform is equipped with a variety of sensors needed to extensively monitor a transport and can be attached directly to the transported good. The included microcontroller processes all relevant data served by the sensors in a very power efficient manner. Furthermore, it provides possible violations of previously given thresholds through a standardized Near Field Communication (NFC) interface to the user. Since falls are one major cause of damages while transportation, the presented system is the first one that not only detects every fall but also analyses the fall height and other parameters related to the fall event in real-time on the platform. The whole system was tested in different experiments where all critical situations and in particular all fall situations have been detected correctly.

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Notes

  1. 1.

    In the case of the shock detection the method described in Sect. 4 for detecting only the start and end of a critical event is not used since shock events are by nature always very short.

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Correspondence to Marc Pfeifer .

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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Pfeifer, M., Schubert, T., Becker, B. (2017). PackSens: A Condition and Transport Monitoring System Based on an Embedded Sensor Platform. In: Magno, M., Ferrero, F., Bilas, V. (eds) Sensor Systems and Software. S-CUBE 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 205. Springer, Cham. https://doi.org/10.1007/978-3-319-61563-9_7

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  • DOI: https://doi.org/10.1007/978-3-319-61563-9_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61562-2

  • Online ISBN: 978-3-319-61563-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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