The research in this article is conducive to the coastal countries’ full awareness of the maritime situation in the waters under their jurisdiction and provides strong help to ensure the safety of coastal countries’ maritime navigation waters. The abnormal shutdown of onboard AIS equipment can be effectively identified by monitoring the change of transmission intensity of onboard AIS radio signal and using the established shutdown event model. In addition, by monitoring the abnormal change of the signal level of the ship-borne AIS radio station, it can effectively identify whether the ship-borne AIS radio station is illegally occupied. The experimental results show that the abnormal behavior recognition system designed in this paper can effectively identify the abnormal behavior of ships according to the established shutdown event model and monitoring the change of signal strength of ship-borne AIS radio station.


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    Title :

    Design of Ship Abnormal Behavior Recognition System for Intelligent Maritime Supervision


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Gokhale, Anu (editor) / Grant, Emanuel (editor) / Wu, Yangyang (author) / Zheng, Hailin (author) / Huang, Nibin (author)

    Conference:

    The Asia Pacific Computer Systems Conference ; 2021 ; Kahului, HI, USA November 11, 2021 - November 14, 2021



    Publication date :

    2023-02-18


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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