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

1 Citation (Scopus)


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
Publication statusPublished - 30 Oct 2019
MoE publication typeA4 Article in a conference publication
EventIEEE Sensors 2019 - Montreal, Canada
Duration: 27 Oct 201930 Oct 2019


ConferenceIEEE Sensors 2019


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

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