Details
Original language | English |
---|---|
Title of host publication | Tagungsband des 2. Kongresses Montage Handhabung Industrieroboter |
Editors | Thorsten Schüppstuhl, Jörg Franke, Kirsten Tracht |
Place of Publication | Berlin |
Publisher | Springer Vieweg |
Pages | 33-42 |
Number of pages | 10 |
ISBN (print) | 978-3-662-54440-2 |
Publication status | Published - 2017 |
Abstract
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
Tagungsband des 2. Kongresses Montage Handhabung Industrieroboter. ed. / Thorsten Schüppstuhl; Jörg Franke; Kirsten Tracht. Berlin: Springer Vieweg, 2017. p. 33-42.
Research output: Chapter in book/report/conference proceeding › Contribution to book/anthology › Research › peer review
}
TY - CHAP
T1 - Cloud-based Plant and Process Monitoring based on a Modular and Scalable Data Analytics Infrastructure
AU - Maurer, Ilja
AU - Riva, Mauro
AU - Hansen, Christian
AU - Ortmaier, Tobias
PY - 2017
Y1 - 2017
N2 - In order to meet recent challenges for more efficient and economic industrial manufacturing plants and processes, new and already existing infrastructure undergoes transformations towards so called’ Smart Factories’. In this paper a fully integrated Data Analytics Infrastructure is introduced, which is applicable for different use-cases. The modular and scalable infrastructure basically consists of embedded devices for the acquisition of controller signals and process data from the real-time field bus, and a ’private cloud’ server with high storage and computing capacity for data administration, analytics and various other services. The infrastructure’s potential is demonstrated by an exemplary use-case, an energy management approach for multi manipulator handling processes, including monitoring and process optimization functionalities.
AB - In order to meet recent challenges for more efficient and economic industrial manufacturing plants and processes, new and already existing infrastructure undergoes transformations towards so called’ Smart Factories’. In this paper a fully integrated Data Analytics Infrastructure is introduced, which is applicable for different use-cases. The modular and scalable infrastructure basically consists of embedded devices for the acquisition of controller signals and process data from the real-time field bus, and a ’private cloud’ server with high storage and computing capacity for data administration, analytics and various other services. The infrastructure’s potential is demonstrated by an exemplary use-case, an energy management approach for multi manipulator handling processes, including monitoring and process optimization functionalities.
U2 - 10.1007/978-3-662-54441-9textunderscore 4
DO - 10.1007/978-3-662-54441-9textunderscore 4
M3 - Contribution to book/anthology
SN - 978-3-662-54440-2
SP - 33
EP - 42
BT - Tagungsband des 2. Kongresses Montage Handhabung Industrieroboter
A2 - Schüppstuhl, Thorsten
A2 - Franke, Jörg
A2 - Tracht, Kirsten
PB - Springer Vieweg
CY - Berlin
ER -