Heavy duty diesel vehicle emissions have become one of the main sources of air pollution in large and medium-sized cities. In order to reduce the heavy-duty diesel vehicle emissions, this paper designs a heavy-duty diesel vehicle emission remote monitoring platform. With the help of big data technology and Internet technology, the real-time monitoring of heavy-duty diesel vehicle emissions and faults under actual road conditions is carried out. The innovative proposal of the platform is to store data in the form of distributed files, make use of big data computing engine, and give full play to the computing power of the server. It realizes the storage and mining of massive emission data, and solves the problems of difficult storage, retrieval and analysis of vehicle road measured big data. The platform realizes real-time remote monitoring and diagnosis of NOx and particulate matter of heavy-duty diesel vehicles, and carries out correlation analysis of vehicle operation parameters, emission / fuel consumption with the help of monitoring information of OBD, which provides strong support for enterprise product development and government emission supervision.


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    Titel :

    Design and implementation of emission monitoring platform for heavy duty diesel vehicles


    Beteiligte:
    changyuan, Wang (Autor:in) / Kexun, He (Autor:in) / xiyu, Fang (Autor:in) / yanyan, Han (Autor:in)


    Erscheinungsdatum :

    01.11.2020


    Format / Umfang :

    1897882 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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