At present, ships on the Yangtze River are equipped with Automatic Identification System (AIS). The management can refer to use a large amount of static and dynamic data of ships. However, the AIS data for the Yangtze River mainline digital waterway operational system is mainly obtained from the Yangtze River Maritime Bureau and other agencies, and its information is lagging and accuracy cannot be guaranteed. In this paper, Raspberry Pi is introduced to build a real-time AIS network, and its Raspberry Pi-based AIS decoding system is developed in Python language. It can send processed AIS information over the network to an MQTT server for clients to subscribe to the messages. At present, the acquisition equipment has been deployed in a number of channel signals and tower beacons in the 667 km-416 km upstream of the Yangtze River with good results. The real-time AIS information can be integrated into the basic elements of the waterway. The effectiveness of the digital waterway can be fully utilized, thus providing data support for the dynamic monitoring of the waterway and serving social vessels, which has good application prospects.


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    Titel :

    Research on the AIS Decoding System Based on Raspberry Pi in the Dynamic Monitoring of the Yangtze River Waterway


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Zhang, Zhenyuan (Herausgeber:in) / Xu, Genping (Autor:in) / Wan, Teng (Autor:in) / Wang, Dejun (Autor:in) / Guo, Jie (Autor:in) / Cao, Yinhang (Autor:in)

    Kongress:

    International Conference on Intelligent Transportation Engineering ; 2021 ; Beijing, China October 29, 2021 - October 31, 2021



    Erscheinungsdatum :

    2022-06-01


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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