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.
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 |
| Place of Publication | Montreal |
| Publisher | IEEE Institute of Electrical and Electronic Engineers |
| Number of pages | 4 |
| Publication status | Accepted/In press - 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 | 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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Cite this
Hästbacka, D., Halme, J., Larranaga, M., More, R., Mesiä, H., Björkbom, M., Barna, L., Pettinen, H., Elo, M., Jaatinen, A., & Hoikka, H. (Accepted/In press). Dynamic and Flexible Data Acquisition and Data Analytics System Software Architecture. In IEEE Sensors 2019 [1769] IEEE Institute of Electrical and Electronic Engineers.