Dynamic and Flexible Data Acquisition and Data Analytics System Software Architecture

被引：5
|
作者：
Hastbacka, David [1 ]
Halme, Jari [2 ]
Larranaga, Martin [2 ]
More, Rupesh [3 ]
Mesia, Heikki [3 ]
Bjorkbom, Mikael [3 ]
Barna, Laurentiu [4 ]
Pettinen, Henri [5 ]
Elo, Marko [5 ]
Jaatinen, Antti [6 ]
Hoikka, Henrikki [6 ]
机构：
[1] Tampere Univ, Tampere, Finland
[2] VTT Tech Res Ctr Finland, Espoo, Finland
[3] Konecranes Global Corp, Hyvinkaa, Finland
[4] Wapice Oy, Vaasa, Finland
[5] CrossControl, Tampere, Finland
[6] Metso Corp, Tampere, Finland
来源：
2019 IEEE SENSORS | 2019年
基金：
芬兰科学院;
关键词：
measurement system; data analytics; cyber-physical systems; dynamic orchestration; system architecture; system requirements; edge computing; arrowhead framework;
D O I：
10.1109/sensors43011.2019.8956662
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页数：4
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