Abstract
This paper presents the agenda extending the project reported at the International Maritime Transport and Logistics Conference “Marlog 10” in 2021. Within the framework of the Smart Port model project proposed by the European Union institutions, we examined the control model of the port of Genoa and the digital twin representation of the Terminal San Giorgio. The application of digital technologies to intermodal systems like ports and harbors would give highly positive results in terms of efficiency and effectiveness. The resources employed were a Digital Twin realized with the Optimize software, a simulation developed through Anylogic, a tracking system operated by OpenGTS, and an AI platform developed through Bonsai. In addition, we have considered the libraries that, in our opinion, are necessary when designing a port simulation model. Our proposed model includes loading, unloading, storage planning, and other operations taking place at the port of Genoa. The article presents various agents which play a fundamental role in the simulation.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
ABB. The factory of the future is smart, connected and already here. https://new.abb.com/news/detail/2176/thefactory-of-the-future-is-smart-connected-and-already-here (2017)
Agatić, A., Jugović, T. P., Tijan, E., Kolanović, I.: European union policies and funding for smart port model implementation. In: NAŠE MORE 2021, 2nd International Conference of Maritime Science & Technology (2021)
Antamis, T., et al.: AI-supported forecasting of intermodal freight transportation delivery time. In: 2021 62nd International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS) (2021)
Bruzzone, A.G., Mosca, R., Revetria, R., Rapallo, S.: Risk analysis in harbor environments using simulation. Saf. Sci. 35, 75–86 (2000)
Caballini, C., Mosca, M., Revetria, R.: A system dynamics decision cockpit for a container terminal: the case of voltri terminal Europe. Int. J. Math. Comput. Simul. 3, 55–64 (2009)
Chebrolu, K., Rmana, B., Mishra, N., Valiveti, P.K., Kumar, R.: Brimon: a sensor network system for railway bridge monitoring. In: Proceedings of 6th International Conference on Mobile Systems, Applications, and Services, pp. 2–14. ACM (2008)
Damiani, L., Revetria, R., Morra, E.: Safety in Industry 4.0: the multi-purpose applications of augmented reality in digital factories. Adv. Sci. Technol. Eng. Syst. J. 5(2), 248–253 (2020)
Galli, G., Mosca, M., Revetria, R., Mosca, R.: Artificial intelligence for supporting maritime terminal management, safety and security. In: International Maritime Transport and Logistics Conference “Marlog 10”, pp. 55–63 (2021)
Galli, G., Patrone, C., Battilani, C., Revetria, R.: Simulation and business process management notation in support of business process re-engineering. In: Transactions on Engineering Technologies, pp. 47–58 (2021)
Galli, G., Patrone, C., Bellam, A.C., Annapareddy, N.R., Revetria, R.: Improving process using digital twin: a methodology for the automatic creation of models. In: Proceedings of the World Congress on Engineering and Computer Science 2019 WCECS 2019 (2019)
Gamer, T., Kloepper, B., Hoernicke, M.: The way toward autonomy in industry - taxonomy, process framework, enablers, and implications. In: IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society, pp. 565–570 (2019)
Guizzi, G., Revetria, R., Rozhok, A.: Augmented reality and virtual reality: from the industrial field to other areas, augmented reality and virtual reality (2020)
Lee, R.G., Chen, K.C, Chiang, S.S., Lai, C.C., Liu, H.S., Wei, M.S.: A backup routing with wireless sensor network for bridge monitoring system. In: Annual Conference on Communication Networks and Services Research. IEEE Computer Society, pp. 157–161 (2006)
Microsoft Project Bonsai (2021). https://docs.microsoft.com/en-us/bonsai/product/
Mladenov, B., Damiani, L., Giribone, P., Revetria, R.: A short review of the SDKs and wearable devices to be used for AR application for industrial working environment. In: WCECS 2018, vol. 1 (2018)
Rozhok, A.P., Storozhenko, A.S., Valiaeva, A.V., Sushchev, S.P., Ugarov, A.N., Revetria, R.: Methods of monitoring the Ground-Climate-Pipeline system in sections with hazardous processes. In: IOP Conference Series: Earth and Environmental Science, Sino-Russian ASRTU Forum “Ecology and Environmental Sciences’’, vol. 864 (2020)
Ship Technology Global: ABB supports remotely operated passenger ferry trial in Finland (2018). https://www.shiptechnology.com/news/abb-supports-ferry-trial/
Soldi, G., et al.: Space-based global maritime surveillance. Part ii: artificial intelligence and data fusion techniques IEEE Aeros. Electron. Syst. Mag. 36, 30–42 (2021)
Sudevalayam, S., Kulkarni, P.: Energy harvesting sensor nodes: survey and implications IEEE Commun. Surv. Tutor. 13(3), 443–461 (2011)
Tantik, E., Anderl, R.: Integrated data model and structure for the asset administration shell in Industrie 4.0. In: 27th CIRP Design, vol. 60, pp. 86–91 (2017)
Vasyutina, A.A., Popov, V.V., Kondratyev, A.I., Boran-Keshishyan, A.L.: Improvement of the vessel traffic control system for accident-free electronic navigation in the port area. In: Journal of Physics: Conference Series, Volume 2061, International Conference on Actual Issues of Mechanical Engineering (AIME 2021) (2021)
Wawrzyniak, N., Stateczny, A.: MSIS image positioning in port areas with the aid of comparative navigation methods. Polish Maritime Res. 24, 32–41 (2017)
Acknowledgment
The authors would like to acknowledge the University of Genoa and Silvestro Vespoli (University of Bergamo), developers of the TEBETS project.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 Springer Nature Switzerland AG
About this paper
Cite this paper
Emanuele, A., Anastasiia, R., Roberto, R., Sergey, S. (2022). An Agenda on the Employment of AI Technologies in Port Areas: The TEBETS Project. In: Fujita, H., Fournier-Viger, P., Ali, M., Wang, Y. (eds) Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence. IEA/AIE 2022. Lecture Notes in Computer Science(), vol 13343. Springer, Cham. https://doi.org/10.1007/978-3-031-08530-7_53
Download citation
DOI: https://doi.org/10.1007/978-3-031-08530-7_53
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-08529-1
Online ISBN: 978-3-031-08530-7
eBook Packages: Computer ScienceComputer Science (R0)