In order to reduce the limitation of geographical area and network bandwidth on building real-time ship twin vision model, realize the construction of ship digital twin vision in full time and spatial domain, and improve the stability and safety of ship remote monitoring, this paper develops a construction method to build the ship digital twin vision through the Cesium framework with BeiDou satellite communication as the communication medium. The dynamic information such as ship position are first and image collected from the ship side.Then, the extended Kalman filter, Huffman algorithm, and LZW algorithm are used for noise reduction and lossless compression of the ship data. The data is send to the shore side serve via BeiDou satellie After that and using Mercator projection in the Cesium framework is deployed to realise the ship digital twin system. By extending the Kalman filter model to simulate the ship trajectory and comparing it with the twin vision built through 5G mobile network, the proposed technique is verified to be able to build a ship digital twin vision system more accurately by transmitting the ship’s dynamic information through BeiDou in the region without network signal.


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    Titel :

    Construction of a digital twin model for ships based on BeiDou communication


    Beteiligte:
    Chen, Ruishu (Autor:in) / Lv, Zhiyong (Autor:in) / Xu, Jiahui (Autor:in)


    Erscheinungsdatum :

    01.12.2022


    Format / Umfang :

    1765050 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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