Advertisement

Implementation of a Smart Embedded System for Passenger Vessel Safety

  • F. M. Javed Mehedi Shamrat
  • Naimul Islam Nobel
  • Zarrin TasnimEmail author
  • Razu Ahmed
Conference paper
  • 72 Downloads
Part of the Communications in Computer and Information Science book series (CCIS, volume 1192)

Abstract

An automated embedded system with overweight and location detection of a vessel has been planned, developed and executed. To eliminate overweight issues and able to locate the vessel for stopping accidents, an embedded system has been developed. Based on “Archimedes Principle Formula” an algorithm has been formed, it works on data that have been collected by the “water floating switch sensor”. A sensor called “Water floating switch” used to detect the exceeding water level and send the data to the server purpose of monitoring an overweight issue. Programming language (python) with its default library has been utilized to code and some hardware components (Like raspberry pi B, microcontroller, water floating switch, GPS antenna, monitor, etc) are used for the significant execution of the algorithm. This embedded system can be accomplished in any type of vessel, utilize this system above the vessel as well as a passenger vessel, general cargo vessel, etc.

Keywords

Embedded system Safety Microcontroller Floating switch Automation IoT Vessel Raspberry pi zero 

References

  1. 1.
    Rahman, S.: An analysis of passenger vessel accidents in Bangladesh. In: 10th International Conference on Marine Technology, MARTEC (2016)Google Scholar
  2. 2.
    Abdul Rahman, N.S.F., Rosli, H.Z.: An innovation approach for improving passenger vessels safety level: overload problem. Int. J. Bus. Tourism Appl. Sci. 2(2), 61–74 (2014)Google Scholar
  3. 3.
    Awal, Z.I., Rafiqul Islam, M., Hoque, M.: Analysis of passenger vessel accidents in the inland waterways of Bangladesh. In: Session I-B-1 Analysis of Passenger Vessel Accidents in the Inland Waterways of Bangladesh (2006)Google Scholar
  4. 4.
    Rashid, K., Islam, M.R.: Reasons and remedies of inland passenger vessels accidents in Bangladesh. In: AIP Conference Proceedings, vol. 1919, p. 020036 (2018)Google Scholar
  5. 5.
    Ek, Å.: A study of safety culture in passenger shipping. In: The 3rd Safety and Reliability International Conference, vol. 3, pp. 99–106 (2003). The Publishing and Printing House of Air Force Institute of TechnologyGoogle Scholar
  6. 6.
  7. 7.
    Vessel floating and displaced water information. http://scienceline.ucsb.edu/getkey.php?key=620. Accessed 26 Apr 2019
  8. 8.
  9. 9.
  10. 10.
    Water floating switch sensor. https://www.quora.com/How-does-a-ship-float-on-water. Accessed 26 Apr 2019
  11. 11.
  12. 12.
    Gypa, I., Boulougouris, E., Vassalos, D.: Decision support tool for modelling security scenarios onboard passenger ships. Taylor & Francis Group, London (2018). ISBN 978-0-8153-7993-5Google Scholar
  13. 13.
    Reddy, M., Rao, K.: Fire accident detection and prevention monitoring system using wireless sensor network enabled Android application. Indian J. Sci. Technol. 9(17), 1–5 (2016)Google Scholar
  14. 14.
    Shams, R., Hossain, S., Priyom, S., Fatema, N., Shakil, S.R., Rhaman, M.K.: An automated firefighting system. In: 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015, pp. 2327–2331 (2015)Google Scholar
  15. 15.
    Chen, J.J., Lu, M.X., Wu, T.H., Hwang, Y.S.: Sub-1-V FastResponse hysteresis-controlled CMOS buck converter using adaptive ramp techniques. IEEE Trans. Very Large Scale Integr. (VLSI) Syst. 9(21), 1608–1618 (2013)CrossRefGoogle Scholar
  16. 16.
    Cheng, Y.F., Hirdaris, S.E.: Improvement of ship safety through stability research and innovations. In: 11th International Conference on the Stability of Ships and Ocean Vehicles (2012)Google Scholar
  17. 17.
    Ahola, M., Romanoff, J., Kujala, P., Remes, H., Varsta, P.: Cruise and Ferry Experience program for future passenger ship designers. In: RINA Conference on Education and Professional Development of Engineers, Newcastle, UK (2011)Google Scholar
  18. 18.
    Bouguila, N., Daoudi, K.: A statistical approach for binary vectors modeling and clustering. In: Theeramunkong, T., Kijsirikul, B., Cercone, N., Ho, T.-B. (eds.) PAKDD 2009. LNCS (LNAI), vol. 5476, pp. 184–195. Springer, Heidelberg (2009).  https://doi.org/10.1007/978-3-642-01307-2_19CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • F. M. Javed Mehedi Shamrat
    • 1
  • Naimul Islam Nobel
    • 1
  • Zarrin Tasnim
    • 1
    Email author
  • Razu Ahmed
    • 1
  1. 1.Department of Software EngineeringDaffodil International UniversityDhakaBangladesh

Personalised recommendations