A virtual tool to simulate maneuvering of LNG ships in the Cartagena bay

Keywords: LNG type virtual ships, maneuvers, maritime transport, simulation, virtual stage

Abstract

The main objective of this work was to design a virtual maritime environment with the necessary technical characteristics to simulate navigation exercises using virtual LNG carriers in the Bay of Cartagena. A 3D virtual tool was developed called “Maritime Terminal the Cayao,” which was later tested by executing maneuvers on the Naval Academy’s Center for Research, Development, and Innovation for Maritime Activities’ Transas Ntpro 5000 bridge simulator. The results showed that the developed tool is effective for the simulation of maneuvers using virtual ships. It is concluded that the use of this type of tool will provide large vessel crews a better understanding of the complexity of the maneuvers required during their entry into the Bay of Cartagena, contributing to the mitigation of risks and human errors during navigation.

Downloads

Download data is not yet available.

Author Biographies

Cristhian Carmelo Mendoza Pérez, Escuela Naval de Cadetes “Almirante Padilla”

Biólogo, Universidad de Córdoba, Montería, Colombia. MSc en Biología, Universidad Federal de Viçosa, Viçosa-Minas Gerais, Brasil. Docente investigador y coordinador del Grupo de Investigación Poseidón, Facultad de Ciencias Navales y Náuticas.

Marena del Rosario Vitola Quintero, Escuela Naval de Cadetes “Almirante Padilla”

Ingeniera de sistemas, Fundación Universitaria Tecnológico Comfenalco, Cartagena, Colombia. Especialista en Telemática, Universidad Autónoma de Bucaramanga, Bucaramanga, Colombia. MSc en Diseño, Gestión y Dirección de Proyectos, Universidad Internacional Interamericana, San Juan, Puerto Rico. Docente Investigador del Grupo Poseidón y Jefe del Programa de Ciencias Navales, Facultad de Ciencias Navales y Náuticas.

References

Ambrosino, D., Sciomachen, A., & Tanfani, E. (2004). Stowing a containership: the master bay plan problem. Transportation Research Part A: Policy and Practice, 38(2), 81-99.
https://doi.org/10.1016/j.tra.2003.09.002

Astudillo, R. (2012). La Seguridad Marítima en el Comercio Internacional. Revista de Marina, 57-65. Recuperado de: https://revistamarina.cl/revistas/2012/1/astudillo.pdf

Boroni, G., & Vénere, M. (2002). Un simulador distribuido para entrenamiento de operarios. Proceedings VIII Congreso Argentino de Ciencias de la Computación. Recuperado de https://goo.gl/XUv4hv.

Brown, P. E., & Lutzhoft, M. (2014, October). The Ice is right: Antarctic ice modelling in maritime training simulators. Proceedings of the 15th Annual general assembly International Association of Maritime Universities - Innovation in Maritime Education, Training and Research, Australian Maritime College, Launceston, Tasmania. Recuperado de https://goo.gl/W3Saa8.

Castañeda, F. (2017). Comunicación personal, 3 de abril.

Comisión Colombiana del Océano (CCO). (2014) Comité Técnico Nacional de Asuntos Antárticos. Agenda Científica Antártica de Colombia 2014-2035. Bogotá, D. C. Comisión Nacional del Océano.

Dahai, L., Nikolas, M., & Dennis, V. (2008). Simulation fidelity. In D. A. Vincenzi, J. A. Wise, M. Mouloua, & P. A. Hancock (Eds.), Factores humanos en simulación y entrenamiento (pp. 61-73). Boca Raton: CRC Press.

De Amato, J., García Bauza, C., & Vénere, M. (2004). Simulación del entorno de una embarcación pesquera. 33.as Jornadas Argentinas de Informática e Investigación Operativa, JAIIO 2004, Córdoba.

De Amato, J., García Bauza, C., & Vénere, M. (2005). Editor de escenarios para aplicaciones de realidad virtual. 34.as Jornadas Argentinas de Informática e Investigación Operativa, JAIIO, 2005, Córdoba.

De Amato, J. P., García, C., Cifuentes, V., & Vénere , M. (15 de 08 de 2017). Universidad Tecnológica Nacional. Obtenido de www.http://utn.edu.ar/: http://jidis.frc.utn.edu.ar/papers/8cf012187596558f1101bd409792.pdf

Emery, W. J., & Thomson, R. E. (2001). Data analysis methods in physical oceanography (2nd ed.). New York: Elsevier Sci.
https://doi.org/10.1016/B978-044450756-3/50004-6
https://doi.org/10.1016/B978-044450756-3/50005-8
https://doi.org/10.1016/B978-044450756-3/50006-X
https://doi.org/10.1016/B978-044450756-3/50002-2
https://doi.org/10.1016/B978-044450756-3/50003-4
https://doi.org/10.1016/B978-044450756-3/50000-9

Håvold J., Nistad, S., Skiri, A., & Odegård A. (2015). The human factor and simulator training for offshore anchor handling operators. Safety Science, 75, 136-145. doi: 10.1016/j.ssci.2015.02.001.
https://doi.org/10.1016/j.ssci.2015.02.001

Hontvedt, M. (2015). Professional vision in simulated environments — Examining professional maritime pilots' performance of work tasks in a full-mission ship simulator. Learning, Culture and Social Interaction, 7, 71-84. doi: 10.1016/j.lcsi.2015.07.003.
https://doi.org/10.1016/j.lcsi.2015.07.003

Iribarren, J. R., Cal, C. López, L., Ibá-ez, A. C., Weis, C., Zickermann, J., & Murguialday, J. (2008). Sistema innovador para el suministro de LNG en la Terminal Bahía Blanca de Argentina. Recuperado de https://goo.gl/qxBuE9.

Kalnay, E., Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L., ... Denis, J. (1996). The NCEP/NCAR 40-year reanalysis project. Bulletin American Meteorological Society, 77, 437-470. doi: 10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2.
https://doi.org/10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2

Kolb, D. A. (1984). Experiential learning: Experience as the source of learning and development. New Jersey: Prentice-Hall.

Krange, I., Moen, A., & Ludvigsen, S. (2012). Computer-based 3-D simulation: A study of communication practices in a trauma team performing patient examination and diagnostic work. Instructional Science, 40(5), 829–847.
https://doi.org/10.1007/s11251-012-9214-9

Lubbad, R., & Løset, S. (2011). A numerical model for real-time simulation of ship–ice interaction. Cold Regions Science and Technology, 65(2), 111-127. doi: 10.1016/j.coldregions.2010.09.004.
https://doi.org/10.1016/j.coldregions.2010.09.004

Otheguy, I., Soriano, M., Boroni, G., & Vénere M. (2002). Simulación en tiempo real de un radar de barrido horizontal. Mecánica Computacional Vol XXI. (pp. 1203-1212). Recuperado de: https:// www.researchgate.net/publication/228681230_Simulacion_en_tiempo_real_de_un_radar_de_ barrido_horizontal

Romero, R. (2002). El transporte marítimo: introducción a la gestión del transporte marítimo (1.ª ed.). Barcelona (Espa-a): Marge Books.

Roza, M., Voogd, J., & Sebalj, D. (2012). The generic methodology for verification and validation to support acceptance of models, simulations and data. The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology, 10(4), 347-365.
https://doi.org/10.1177/1548512912459688

Santos, S. (2014). Aspectos da navegação interior. Florianópolis: Labtrans/UFSC.
https://doi.org/10.9744/interior.12.1.16-22

Schön, D. A. (1983). El profesional reflexivo. Cómo piensan los profesionales cuando actúan San Francisco: Jossey-Bass.

Siport21. (2010). Análisis de viabilidad de la instalación de una terminal de regasificación en Puerto Cuatreros. Recuperado de http://es.siport21.com/projects/analisis-de-viabilidad-de-la-instalacion-de-una-terminal-de-regasificacion-en-puerto-cuatreros/.

Suppiah, R. (2007). Bridging the gap between theory and practice in the maritime environment: implications for Educators. Maritime Studies, 153, 17-20.

Tannuri, E. (2014). Modelagem matemática de manobras e validação de simuladores. Recuperado de https:// goo.gl/hWGGhS.

Tobita, J., Fukuwa, N., & Mori, M. (2009). Integrated disaster simulator using WebGIS and its application to community disaster mitigation activities. Journal of Natural Disaster Science, 30(2), 71-82. doi: 10.2328/jnds.30.71.
https://doi.org/10.2328/jnds.30.71

Transas MIP Ltd. (2013). Navy Trainer 5000. Version 5.3.

Tuomi-Gröhn, T., & Engeström, Y. (2003). Between school and work: New perspectives on transfer and boundary-crossing. Amsterdam: Pergamon Press.

Unctad. (1992). Development and inprovement of ports: The principles of modern port management and organization. Ginebra: United Nations Conference on Trade and Development, Trade and Development Board, Committee on Shipping, Ad hoc Intergovernmental Group of Port Experts.

Vincenzi, D., Wise, J., Mouloua, M., & Hancock, P. (2008). Human factors in simulation and training. Boca Raton, CA: CRC Press.

Yang, Y. J., Wang, X. S., & Chen, J. X. (2002). Rendering avatars in virtual reality: Integrating a 3D model with 2D images. Computing in Science & Engineering, 4(2), 86-91. doi: 10.1109/5992.976440.
https://doi.org/10.1109/5992.976440
Published
2018-01-31
How to Cite
Mendoza Pérez, C., & Vitola Quintero, M. del R. (2018, January 31). A virtual tool to simulate maneuvering of LNG ships in the Cartagena bay. Revista Científica General José María Córdova, 16(21), 1-16. https://doi.org/10.21830/19006586.311
Section
Industry and Technology