Safety accidents are always the key issue for enterprises to prevent and avoid, and offshore accidents are particularly hard to resolve due to their special geographical characteristics. Marine accidents not only bring a large number of casualties, but also generate large property losses. In addition, the marine environment will also be affected to a certain extent. In the event of a maritime accident, the efficiency of maritime search and rescue work is seriously affected by the relatively complex rescue environment due to the large number of factors affecting maritime disasters, which makes it difficult to develop maritime search and rescue measures in a short period of time. The result is infected with the intuitive impact brought by human factors on maritime search and rescue work. In order to avoid the impact of human factors, the maritime intelligent auxiliary decision-making system should be actively built to assist the commander to judge the maritime accident information, and do a good job of scientific and reasonable search and rescue guidance work. Especially in the situation of rapid development of information technology, the construction of artificial intelligence-based auxiliary system for maritime search and rescue to provide strong technical support, are to ensure the safe development of the maritime industry, should increase the research on intelligent auxiliary decision-making system, so that it becomes a cornerstone to help commanders quickly improve the maritime search and rescue program, leading them to work smoothly.


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    Title :

    Intelligent Decision Making Solutions for Maritime Search and Rescue Missions


    Contributors:

    Conference:

    ICETIS 2022 - 7th International Conference on Electronic Technology and Information Science ; 2022 ; Harbin, China


    Published in:

    Publication date :

    2022-01-01


    Size :

    5 pages



    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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