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 (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 proceeding › Conference article in proceedings › Scientific › peer-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 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

Keywords

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

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

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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 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",

note = "Funding Information: ACKNOWLEDGMENT 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). Publisher Copyright: {\textcopyright} 2019 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; IEEE Sensors 2019 ; Conference date: 27-10-2019 Through 30-10-2019",

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doi = "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

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. IEEE Institute of Electrical and Electronic Engineers, 2019. 8956662.

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

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AU - Björkbom, Mikael

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AU - Pettinen, Henri

AU - Elo, Marko

AU - Jaatinen, Antti

AU - Hoikka, Henrikki

N1 - Funding Information: ACKNOWLEDGMENT 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). Publisher Copyright: © 2019 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

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 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 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 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 applicationarchitecture designed is considered for two application domains within the Industry 4.0 paradigm.

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KW - data analytics

KW - cyber-physical systems

KW - dynamic orchestration

KW - system architecture

KW - system requirements

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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

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