The Three Gorges section of Yangtze River is of great importance and complexity, where ship locks, ships and cargos constitute a complex transportation logistics system. This system concentrates a large amount of information, and some of the information changes with time. The obtaining manner and processing method of such information are both important content of the work, without which the whole system would be obstructed. With cluster analysis and relational grade analysis of the navigation information, the system operating situation can be obtained by observing the information stream, and the navigation information flow architecture of Three Gorges under the support of internet of things is built. Therefore the traffic flow and material flow can be predicted and analyzed, so better ship lock scheduling is achieved.


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    Titel :

    Research on Navigation Information Flow Architecture of the Three Gorges under the Support of Internet of Things


    Beteiligte:
    Sun, Xing (Autor:in) / Yan, Xinping (Autor:in) / Yin, Qizhi (Autor:in) / Chu, Xiumin (Autor:in)

    Kongress:

    First International Conference on Transportation Information and Safety (ICTIS) ; 2011 ; Wuhan, China


    Erschienen in:

    ICTIS 2011 ; 2721-2727


    Erscheinungsdatum :

    2011-06-16




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch