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

    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
    Place of PublicationMontreal
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Number of pages4
    Publication statusAccepted/In press - 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

    Fingerprint

    Software architecture
    Data acquisition
    Sensors
    Hardware
    Industry

    Keywords

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

    Cite this

    Hästbacka, D., Halme, J., Larranaga, M., More, R., Mesiä, H., Björkbom, M., ... Hoikka, H. (Accepted/In press). Dynamic and Flexible Data Acquisition and Data Analytics System Software Architecture. In IEEE Sensors 2019 [1769] Montreal: IEEE Institute of Electrical and Electronic Engineers .
    Hästbacka, David ; Halme, Jari ; Larranaga, Martin ; More, Rupesh ; Mesiä, Heikki ; Björkbom, Mikael ; Barna, Laurentiu ; Pettinen, Henri ; Elo, Marko ; Jaatinen, Antti ; Hoikka, Henrikki. / Dynamic and Flexible Data Acquisition and Data Analytics System Software Architecture. IEEE Sensors 2019. Montreal : IEEE Institute of Electrical and Electronic Engineers , 2019.
    @inproceedings{4c3ec516e11d4517a82bb5e229761055,
    title = "Dynamic and Flexible Data Acquisition and Data Analytics System Software Architecture",
    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 hardwareplatforms, 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 applicationarchitecture designed is considered for two application domains within the Industry 4.0 paradigm.",
    keywords = "measurement system, data analytics, cyber-physical systems, dynamic orchestration, system architecture, system requirements, edge computing, arrowhead framework",
    author = "David H{\"a}stbacka and Jari Halme and Martin Larranaga and Rupesh More and Heikki Mesi{\"a} and Mikael Bj{\"o}rkbom and Laurentiu Barna and Henri Pettinen and Marko Elo and Antti Jaatinen and Henrikki Hoikka",
    year = "2019",
    month = "10",
    day = "30",
    language = "English",
    booktitle = "IEEE Sensors 2019",
    publisher = "IEEE Institute of Electrical and Electronic Engineers",
    address = "United States",

    }

    Hästbacka, D, Halme, J, Larranaga, M, More, R, Mesiä, H, Björkbom, M, Barna, L, Pettinen, H, Elo, M, Jaatinen, A & Hoikka, H 2019, Dynamic and Flexible Data Acquisition and Data Analytics System Software Architecture. in IEEE Sensors 2019., 1769, IEEE Institute of Electrical and Electronic Engineers , Montreal, IEEE Sensors 2019, Montreal, Canada, 27/10/19.

    Dynamic and Flexible Data Acquisition and Data Analytics System Software Architecture. / Hästbacka, David (Corresponding author); Halme, Jari; Larranaga, Martin; More, Rupesh; Mesiä, Heikki; Björkbom, Mikael; Barna, Laurentiu; Pettinen, Henri; Elo, Marko; Jaatinen, Antti; Hoikka, Henrikki.

    IEEE Sensors 2019. Montreal : IEEE Institute of Electrical and Electronic Engineers , 2019. 1769.

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

    TY - GEN

    T1 - Dynamic and Flexible Data Acquisition and Data Analytics System Software Architecture

    AU - Hästbacka, David

    AU - Halme, Jari

    AU - Larranaga, Martin

    AU - More, Rupesh

    AU - Mesiä, Heikki

    AU - Björkbom, Mikael

    AU - Barna, Laurentiu

    AU - Pettinen, Henri

    AU - Elo, Marko

    AU - Jaatinen, Antti

    AU - Hoikka, Henrikki

    PY - 2019/10/30

    Y1 - 2019/10/30

    N2 - 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 hardwareplatforms, 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 applicationarchitecture designed is considered for two application domains within the Industry 4.0 paradigm.

    AB - 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 hardwareplatforms, 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 applicationarchitecture designed is considered for two application domains within the Industry 4.0 paradigm.

    KW - measurement system

    KW - data analytics

    KW - cyber-physical systems

    KW - dynamic orchestration

    KW - system architecture

    KW - system requirements

    KW - edge computing

    KW - arrowhead framework

    M3 - Conference article in proceedings

    BT - IEEE Sensors 2019

    PB - IEEE Institute of Electrical and Electronic Engineers

    CY - Montreal

    ER -

    Hästbacka D, Halme J, Larranaga M, More R, Mesiä H, Björkbom M et al. Dynamic and Flexible Data Acquisition and Data Analytics System Software Architecture. In IEEE Sensors 2019. Montreal: IEEE Institute of Electrical and Electronic Engineers . 2019. 1769