The present work proposes a solution for the visualization of temperature and pressure data from plastic injection machines. From the collected data., an analysis of these data is carried out., to present the data in the clearest possible way. This data is sent to a local database., which then must be visualized in the form of graphs in real time. For further queries of the data., a dashboard is also developed for these data., divided by time intervals., in which the maximum., average., and minimum data of temperature and pressure are visualized., in the form of line and circular graphs. The solution intends to be used not only in a web environment., but also on the production line in low-cost single-board systems., such as RaspberryPI., allowing real-time visualization.


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    Titel :

    Data Analysis and Visualization of the Industrial IoT Based on the Big Data Approach


    Beteiligte:
    Ganesan, R. (Autor:in) / Roy, Chandrima (Autor:in) / R, Ramiya (Autor:in) / S, Hemambujavalli (Autor:in) / Vijayakumar, R. (Autor:in)


    Erscheinungsdatum :

    2023-11-22


    Format / Umfang :

    545305 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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