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Dynamic and Flexible Data Acquisition and Data Analytics System Software Architecture

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


Original languageEnglish
Title of host publication2019 IEEE SENSORS
Number of pages4
ISBN (Electronic)978-1-7281-1634-1
ISBN (Print)978-1-7281-1635-8
Publication statusPublished - Oct 2019
Publication typeA4 Article in a conference publication
EventIEEE Sensors -
Duration: 1 Jan 2000 → …

Publication series

NameIEEE Sensors
ISSN (Print)1930-0395
ISSN (Electronic)2168-9229


ConferenceIEEE Sensors
Period1/01/00 → …


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.


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

Publication forum classification

Field of science, Statistics Finland