Dynamic and Flexible Data Acquisition and Data Analytics System Software Architecture

David Hästbacka; Jari Halme; Martin Larranaga; Rupesh More; Heikki Mesiä; Mikael Björkbom; Laurentiu Barna; Henri Pettinen; Marko Elo; Antti Jaatinen; Henrikki Hoikka

doi:10.1109/SENSORS43011.2019.8956662

Dynamic and Flexible Data Acquisition and Data Analytics System Software Architecture

David Hästbacka^*
, Jari Halme
, Martin Larranaga
, Rupesh More
, Heikki Mesiä
, Mikael Björkbom
, Laurentiu Barna
, Henri Pettinen
, Marko Elo
, Antti Jaatinen
, Henrikki Hoikka

^*Corresponding author for this work

Tampere University
Konecranes Oyj
Wapice Oy
CrossControl Oy
Metso Corporation

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

6 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 language	English
Title of host publication	IEEE Sensors 2019
Publisher	IEEE Institute of Electrical and Electronic Engineers
Number of pages	4
ISBN (Electronic)	978-1-7281-1634-1
ISBN (Print)	978-1-7281-1635-8
DOIs	https://doi.org/10.1109/SENSORS43011.2019.8956662
Publication status	Published - 30 Oct 2019
MoE publication type	A4 Article in a conference publication
Event	IEEE Sensors 2019 - Montreal, Canada Duration: 27 Oct 2019 → 30 Oct 2019

Conference

Conference	IEEE Sensors 2019
Country/Territory	Canada
City	Montreal
Period	27/10/19 → 30/10/19

Funding

This work is part of the project Productive4.0 and has received funding from the EU ECSEL Joint Undertaking under grant agreement no. 737459 and from the national funding authority Business Finland. Furthermore, the authors are also grateful to the Academy of Finland for their funding supporting this work (grant 310098).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

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

Access to Document

10.1109/SENSORS43011.2019.8956662

Cite this

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 Article 8956662 IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/SENSORS43011.2019.8956662

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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., 8956662, IEEE Institute of Electrical and Electronic Engineers, IEEE Sensors 2019, Montreal, Canada, 27/10/19. https://doi.org/10.1109/SENSORS43011.2019.8956662

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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

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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 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.

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

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DO - 10.1109/SENSORS43011.2019.8956662

M3 - Conference article in proceedings

SN - 978-1-7281-1635-8

BT - IEEE Sensors 2019

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - IEEE Sensors 2019

Y2 - 27 October 2019 through 30 October 2019

ER -

Dynamic and Flexible Data Acquisition and Data Analytics System Software Architecture

Abstract

Conference

Funding

UN SDGs

Keywords

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