Maritime search and rescue has become an indispensable part of maritime safety planning, receiving extensive attention from countries around the world. In order to strengthen the training of maritime search and rescue, it is necessary to provide real training scenarios, which, however, will lead to higher combat exercise costs. The most challenging task facing the maritime safety planning center at present is how to strengthen the maritime search and rescue image recognition and improve the search and rescue capabilities. The application of agent technology can help to solve this problem. Maritime search and rescue based on system simulation technology can not only evaluate the performance of existing systems, but also evaluate the practicality and economy of the new system in an objective and accurate manner. It can analyze, compare and filter various decision-making schemes until the best scheme is selected based on the pre-established objective function, during which process its auxiliary functions can be put into full play.


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    Title :

    Research on Maritime Search and Rescue Recognition Based on Agent Technology


    Contributors:
    Liu, Li (author) / Gu, Qun (author) / Li, Lin (author) / Lai, Xusheng (author)


    Publication date :

    2020-06-01


    Size :

    366969 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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