The General Maritime Directorate of Colombia (DIMAR) and the Catholic University of Colombia joined efforts to carry out this research as an action for the “Decade of Ocean Sciences for Sustainable Development” in its “Accessible Ocean” result, to provide timely information to those interested in developing maritime activities in Colombian coastal zones, through a smart tool that analyzes Big Data statistics from the Network for the Measurement of Oceanographic Parameters and Marine Meteorology (RedMpomm). The methodology used was applied to a case study of the Colombian Caribbean, through which open data obtained in real-time were structured and processed to present meteomarine information using descriptive and predictive analytics. As a result of this research, calculations were made using diffused logic and expert judgment materialized in inference rules, which are presented to the user in a mobile phone application.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Artificial Intelligence for Decision Making in Maritime Activities

  • John Velandia,
  • Ruby V. Ortiz Martinez,
  • Juan L. Moreno Rincón,
  • Gabriel A. Herrera Díaz,
  • Jairo Becerra

摘要

The General Maritime Directorate of Colombia (DIMAR) and the Catholic University of Colombia joined efforts to carry out this research as an action for the “Decade of Ocean Sciences for Sustainable Development” in its “Accessible Ocean” result, to provide timely information to those interested in developing maritime activities in Colombian coastal zones, through a smart tool that analyzes Big Data statistics from the Network for the Measurement of Oceanographic Parameters and Marine Meteorology (RedMpomm). The methodology used was applied to a case study of the Colombian Caribbean, through which open data obtained in real-time were structured and processed to present meteomarine information using descriptive and predictive analytics. As a result of this research, calculations were made using diffused logic and expert judgment materialized in inference rules, which are presented to the user in a mobile phone application.