Centralised Architecture for the Automatic Self-Configuration of Industrial NetworksShow others and affiliations
2023 (English)In: IEEE Int. Conf. Emerging Technol. Factory Autom., ETFA, Institute of Electrical and Electronics Engineers Inc. , 2023Conference paper, Published paper (Refereed)
Abstract [en]
Novel production paradigms aim at increasing the efficiency and flexibility of production systems. Nonetheless, traditional industrial infrastructures lack the mechanisms needed to support these new paradigms. One of the main limiting factors is the architecture, which follows the automation pyramid in which subsystems are divided in layers depending on their functionalities. This allowed to meet the timing and dependability requirements of the production subsystems, however at the cost of limiting the exchange of information required to provide increased flexibility to the system. For this reason, in this paper we propose a new industrial architecture with a single network infrastructure to connect all the devices that conform to the industrial systems. On top of that, we design an Automatic Network Configurator to support the automatic configuration of the system. To assess the feasibility of our design and evaluate its performance, we implement the first instance of the architecture capable of supporting changes in the traffic requirements during run-time, i.e., without stopping or disrupting the system's operation. Furthermore, we use the implemented instance to measure the time required for reconfigurations.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2023.
Keywords [en]
Industrial Architecture, Self-Configuring Networks, Automation, Centralized architecture, Exchange of information, Increased flexibility, Industrial infrastructure, Industrial networks, Production system, Self configuration, Single-networks, Network architecture
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-64698DOI: 10.1109/ETFA54631.2023.10275620Scopus ID: 2-s2.0-85175486073ISBN: 9798350339918 (print)OAI: oai:DiVA.org:mdh-64698DiVA, id: diva2:1810939
Conference
IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
2023-11-092023-11-092024-01-18Bibliographically approved