The need for an intelligent information-based ship accident prevention and control system for various marine accidents is very clearly emerging. As it is a variety of marine accidents, the causes are diverse. Therefore, it can be said that it is very important to prevent these marine accidents and their causes in advance. Therefore, a study was conducted on an intelligent information-based ship safety management decision support system that provides information necessary for decision-making at sea and land through an integrated management device for ships that informs safety-related risks in real-time ship operation. In the future, we intend to pursue the development of a system that can aim for safer and more economical ship operation by linking it to navigation instruments through the evaluation and analysis of AI, IoT, and big data.

• 정봉규(경상국립대학교) | Bong-Kyu Jung
• 박철홍(경상국립대학교) | Cheor-Hong Park
• 최원삼(경상국립대학교 해양경찰시스템학과 박사과정) | Choi Wonsam
• 이남우(경상국립대학교 실습선 새바다호) | Nam-U Lee