Sensor Systems and Software. 7th International Conference, S-Cube 2016, Sophia Antipolis, Nice, France, December 1-2, 2016, Revised Selected Papers

Research Article

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

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  • @INPROCEEDINGS{10.1007/978-3-319-61563-9_7,
        author={Marc Pfeifer and Tobias Schubert and Bernd Becker},
        title={PackSens: A Condition and Transport Monitoring System Based on an Embedded Sensor Platform},
        proceedings={Sensor Systems and Software. 7th International Conference, S-Cube 2016, Sophia Antipolis, Nice, France, December 1-2, 2016, Revised Selected Papers},
        proceedings_a={S-CUBE},
        year={2017},
        month={7},
        keywords={Embedded system Condition monitoring Transport monitoring Low power Sensor platform},
        doi={10.1007/978-3-319-61563-9_7}
    }
    
  • Marc Pfeifer
    Tobias Schubert
    Bernd Becker
    Year: 2017
    PackSens: A Condition and Transport Monitoring System Based on an Embedded Sensor Platform
    S-CUBE
    Springer
    DOI: 10.1007/978-3-319-61563-9_7
Marc Pfeifer1,*, Tobias Schubert1,*, Bernd Becker1,*
  • 1: Albert-Ludwigs-University Freiburg
*Contact email: pfeiferm@informatik.uni-freiburg.de, schubert@informatik.uni-freiburg.de, becker@informatik.uni-freiburg.de

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.