Modern industrial systems, characterised by distributed and fragmented equipment, present challenges due to their inherent heterogeneity and complexity. This should not impact the stakeholders' business logic, who are more concerned with the information itself rather than how it is collected or processed. Recently, Digital Twins - software copies of physical assets and systems - emerged as a pivotal strategy to bridge the cyber-physical world into an effective digital layer decoupling applications from the management and interaction with physical assets. Fostering this vision, we propose a structured industrial Digital Twins ecosystem exploiting twin relationships and hier-archies to build a digitalised replica of the whole manufacturing system structure enabling a simplified navigation and interaction with the physical world and the data it generates. To support the depicted visions, a fully functioning prototype has been implemented and evaluated in an experimental scenario.
Hierarchical Digital Twin Ecosystem for Industrial Manufacturing Scenarios / Martinelli M.; Zhang J.; Splettstober A.-K.; Picone M.; Lippi M.; Wortmann A.. - ELETTRONICO. - (2024), pp. 56-63. (Intervento presentato al convegno 50th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2024 tenutosi a fra nel 2024) [10.1109/SEAA64295.2024.00018].
Hierarchical Digital Twin Ecosystem for Industrial Manufacturing Scenarios
Lippi M.;
2024
Abstract
Modern industrial systems, characterised by distributed and fragmented equipment, present challenges due to their inherent heterogeneity and complexity. This should not impact the stakeholders' business logic, who are more concerned with the information itself rather than how it is collected or processed. Recently, Digital Twins - software copies of physical assets and systems - emerged as a pivotal strategy to bridge the cyber-physical world into an effective digital layer decoupling applications from the management and interaction with physical assets. Fostering this vision, we propose a structured industrial Digital Twins ecosystem exploiting twin relationships and hier-archies to build a digitalised replica of the whole manufacturing system structure enabling a simplified navigation and interaction with the physical world and the data it generates. To support the depicted visions, a fully functioning prototype has been implemented and evaluated in an experimental scenario.I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.



