Dynamic and Flexible Data Acquisition and Data Analytics System Software Architecture

David Hästbacka (Corresponding author), Jari Halme, Martin Larranaga, Rupesh More, Heikki Mesiä, Mikael Björkbom, Laurentiu Barna, Henri Pettinen, Marko Elo, Antti Jaatinen, Henrikki Hoikka

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    2 Citations (Scopus)

    Abstract

    The introduction of new sensors and affordable measurement devices increases the amount of data used in cyber-physical systems and various sensing applications. These systems often grow extensive encompassing not only different kinds of data sources and sensors but also different kinds of use cases for the data. This paper presents a sensor system application architecture outlining the requirements on software and interfaces for connecting different kinds of measurement devices, executing computational functions on various hardware platforms, and connecting this information to various use case applications. Key objectives for the concept include dynamic orchestration of information flows and flexible configuration where computational functions are executed, support for different data sources and hardware, and utilization of computational resources on all levels from edge to cloud. The system application
    architecture designed is considered for two application domains within the Industry 4.0 paradigm.
    Original languageEnglish
    Title of host publicationIEEE Sensors 2019
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Number of pages4
    ISBN (Electronic)978-1-7281-1634-1
    ISBN (Print)978-1-7281-1635-8
    DOIs
    Publication statusPublished - 30 Oct 2019
    MoE publication typeA4 Article in a conference publication
    EventIEEE Sensors 2019 - Montreal, Canada
    Duration: 27 Oct 201930 Oct 2019

    Conference

    ConferenceIEEE Sensors 2019
    CountryCanada
    CityMontreal
    Period27/10/1930/10/19

    Keywords

    • measurement system
    • data analytics
    • cyber-physical systems
    • dynamic orchestration
    • system architecture
    • system requirements
    • edge computing
    • arrowhead framework

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