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Safety Management in Smart Ships

  • Massimo CossentinoEmail author
  • Luca Sabatucci
  • Flavia Zaffora
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11874)

Abstract

Smart Ships represent the next-generation of ships and they use ICT to connect all the devices on board to support integrated monitoring and safe management. In such cyber-physical systems, software has the responsibility of bridging the physical components and creating smart functions. Safety is a critical concern in such kind of systems whose malfunctioning may result in damage to equipment and injury to people. In this paper, we deal with this aspect, by identifying two interconnected sub-systems: shipboard power system and emergency management. The proposed architecture is developed through the H-entity multi-paradigm approach, in which heterogeneous technologies are interconnected. We propose to extend the MOISE+ organisational model to deal with systems of H-entities.

Keywords

Safety Multi-paradigm System of systems 

References

  1. 1.
    Foundation for Intelligent Physical Agents (FIPA): FIPA Specification Repository (2005). http://www.fipa.org/repository/index.html
  2. 2.
    Agnello, L., Cossentino, M., De Simone, G., Sabatucci, L.: Shipboard power systems reconfiguration: a compared analysis of state-of-the-art approaches. In: Smart Ships Technology 2017, Royal Institution of Naval Architects (RINA), pp. 1–9 (2017)Google Scholar
  3. 3.
    Bellifemine, F., Poggi, A., Rimassa, G.: JADE: a FIPA2000 compliant agent development environment. In: Proceedings of the Fifth International Conference on Autonomous Agents, pp. 216–217. ACM (2001)Google Scholar
  4. 4.
    Boissier, O., Bordini, R.H., Hübner, J.F., Ricci, A., Santi, A.: Multi-agent oriented programming with JaCaMo. Sci. Comput. Program. 78(6), 747–761 (2013)CrossRefGoogle Scholar
  5. 5.
    Bordini, R., Hübner, J., Wooldridge, M.: Programming Multi-agent Systems in AgentSpeak using Jason, vol. 8. Wiley, Hoboken (2007)CrossRefGoogle Scholar
  6. 6.
    Botti, L., Duraccio, V., Gnoni, M.G., Mora, C.: A framework for preventing and managing risks in confined spaces through IoT technologies. In: Safety and Reliability of Complex Engineered Systems-Proceedings of the 25th European Safety and Reliability Conference, ESREL, pp. 3209–3217 (2015)Google Scholar
  7. 7.
    Cossentino, M., Lopes, S., Nuzzo, A., Renda, G., Sabatucci, L.: A comparison of the basic principles and behavioural aspects of Akka, JaCaMo and Jade development frameworks. In: 19th Workshop From Objects to Agents (WOA 2018), Palermo, 28–29 June 2018Google Scholar
  8. 8.
    Finin, T., Fritzson, R., McKay, D., McEntire, R.: KQML as an agent communication language. In: Proceedings of the Third International Conference on Information and Knowledge Management, pp. 456–463. ACM (1994)Google Scholar
  9. 9.
    Gupta, M.: Akka Essentials. Packt Publishing, Birmingham (2012)Google Scholar
  10. 10.
    Hannoun, M., Boissier, O., Sichman, J.S., Sayettat, C.: MOISE: an organizational model for multi-agent systems. In: Monard, M.C., Sichman, J.S. (eds.) IBERAMIA/SBIA -2000. LNCS (LNAI), vol. 1952, pp. 156–165. Springer, Heidelberg (2000).  https://doi.org/10.1007/3-540-44399-1_17CrossRefGoogle Scholar
  11. 11.
    Hardebolle, C., Boulanger, F.: Exploring multi-paradigm modeling techniques. Simulation 85(11–12), 688–708 (2009)CrossRefGoogle Scholar
  12. 12.
    House, D.J.: Seamanship Techniques: Shipboard and Marine Operations. Routledge, Abingdon (2013) CrossRefGoogle Scholar
  13. 13.
    Katayama, K., Takahashi, H., Yokoyama, S., Gäfvert, K., Kinoshita, T.: Evacuation guidance support using cooperative agent-based IoT devices. In: 2017 IEEE 6th Global Conference on Consumer Electronics (GCCE), pp. 1–2. IEEE (2017)Google Scholar
  14. 14.
    Olivier, J.P., Balestrini-Robinson, S., Briceño, S.: Approach to capability-based system-of-systems framework in support of naval ship design. In: 2014 IEEE International Systems Conference Proceedings, pp. 388–395. IEEE (2014)Google Scholar
  15. 15.
    Padamati, K.R., Schulz, N.N., Srivastava, A.K.: Application of genetic algorithm for reconfiguration of shipboard power system. In: 2007 39th North American Power Symposium, pp. 159–163. IEEE (2007)Google Scholar
  16. 16.
    Rødseth, Ø.J., et al.: Passenger ship safety and emergency management control. In: Lloyds register and Fairplay conference Cruise and Ferry (2005)Google Scholar
  17. 17.
    Sabatucci, L., Cossentino, M., Simone, G.D., Lopes, S.: Self-reconfiguration of shipboard power systems. In: Proceedings of the 3rd eCAS Workshop on Engineering Collective Adaptive Systems (2018)Google Scholar
  18. 18.
    Sabatucci L., Cossentino M.: Supporting dynamic workflows with automatic extraction of goals from BPMN. ACM Trans. Auton. Adapt. Syst. (TAAS). (in printing)Google Scholar
  19. 19.
    Shi, J., Wan, J., Yan, H., Suo, H.: A survey of cyber-physical systems. In: 2011 International Conference on Wireless Communications and Signal Processing (WCSP), pp. 1–6. IEEE (2011)Google Scholar
  20. 20.
    Turoff, M., Hiltz, S.R., Bañuls, V.A., Van Den Eede, G.: Multiple perspectives on planning for emergencies: an introduction to the special issue on planning and foresight for emergency preparedness and management. Technol. Forecast. Soc. Change 80(9), 1647–1656 (2013).  https://doi.org/10.1016/j.techfore.2013.07.014CrossRefGoogle Scholar
  21. 21.
    Yang, L., Yang, S.H., Plotnick, L.: How the Internet of Things technology enhances emergency response operations. Technol. Forecast. Soc. Chang. 80(9), 1854–1867 (2013)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Massimo Cossentino
    • 1
    Email author
  • Luca Sabatucci
    • 1
  • Flavia Zaffora
    • 1
  1. 1.National Research Council, Istituto di Calcolo e Reti ad Alte Prestazioni (ICAR-CNR)PalermoItaly

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