TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Mkiva, Ferlando
A1  - Bacher, Nico
A1  - Krause, Jens
A1  - van Niekerk, Theo
A1  - Fernandes, John
A1  - Notholt, Antonio
T1  - ICT-Architecture design for a remote laboratory of industrial coupled tanks system
T2  - Proceedings of the 13th Conference on Learning Factories (CLF 2023), 9-11 May 2023, Reutlingen
N2  - Different network architectures are being used to build remote laboratories. Historically, it has been difficult to integrate industrial control systems with higher level IT systems like enterprise resource planning (ERP), manufacturing execution systems (MES), and manufacturing operations management (MOM). Getting these systems to communicate with one another has proven to be relatively difficult due to the absence of shared protocols between them. The Open Platform Communications United Architecture (OPC-UA) protocol was introduced as a remedy for this issue and is gaining popularity, but what if open-source protocols that are widely used in the IT industry could be used instead? This paper presents the development of an IT-Architecture for a cyber-physical industrial control systems laboratory that enables a seamless interconnection and integration of its elements. The architecture utilises Node-Red technology. Node-RED is an open-source programming platform developed by IBM that is focused on making it simple to link physical components, APIs, and web services. This cyber-physical laboratory is for learning principles of an industrial cascaded process control factory. Finally, this text will also discuss future work relating to digital twin (DT). A coupled tank system is selected as a teaching factory to illustrate a range of fluid control application in a typical chemical process factory.
KW  - Node-RED
KW  - coupled tank system
KW  - process control
KW  - S7-1500
KW  - cyber-physical laboratories
KW  - learning factory
KW  - digital twin (DT)
Y1  - 2023
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-48622
SN  - 1556-5068
SS  - 1556-5068
U6  - https://doi.org/10.2139/ssrn.4469514
DO  - https://doi.org/10.2139/ssrn.4469514
SP  - 1
EP  - 10
S1  - 10
PB  - Elsevier
CY  - Elsevier
ER  -