International Scientific Publications
© 2007-2025 Science Events Ltd
Warunki użytkowania  ·  Polityka prywatności
Language English French Polish Romanian Bulgarian
Conference room
Materials, Methods & Technologies 2025, 27th International Conference
14-17 August, Burgas, Bulgaria
Call for Papers

Materials, Methods & Technologies, Volume 16, 2022

DATA ACQUISITION FOR THE ARROWHEAD FRAMEWORK
Mario Thron, Thomas Bangemann
Strony: 75-82
Opublikowano: 16 Nov 2022
Wyświetlenia: 602
Pobrania: 66
Streszczenie: The Eclipse Arrowhead Framework combines features of classical control systems and the Industrial Intenet of Things (IIoT). It was developed over several European research projects and has now reached a high degree of maturity. It is based on the basic concept of so-called self-contained local clouds and thus guarantees e.g. real-time data handling, data and system security, automation system engineering and high scalability. We present here a potential core service that enables simple and efficient data acquisition. As part of the Arrowhead Tools research project, this Extended Historian Service was developed to enable an application of data science methods to historical and real-time data in an easy and efficient way. It supports interoperability with classical fieldbuses and other data sources and can be parameterized with a graphical configuration tool.
Słowa kluczowe: iiot, industry 4.0, arrowhead framework, data acquisition, data analytics
Cytowanie artykułu: Mario Thron, Thomas Bangemann. DATA ACQUISITION FOR THE ARROWHEAD FRAMEWORK. Journal of International Scientific Publications: Materials, Methods & Technologies 16, 75-82 (2022). https://www.scientific-publications.net/en/article/1002509/
Powrót do spisu treści tomu

Submit Feedback

We value your input! Use this form to report any concerns or provide feedback on our published articles. All submissions will be kept confidential.

Korzystając z tej strony, zgadzasz się z naszą Polityką Prywatności i Warunkami Użytkowania. Używamy plików cookie, w tym do analizy, personalizacji i reklam.