AUTO-TWIN Data-driven method based on a process mining approach for Automated Digital Twin generation, operations, and maintenance in circular value chains

Summary

AUTO-TWIN addresses the technological shortcoming and economic liability of the current system-engineering model by

1) introducing a breakthrough method for automated process-aware discovery towards autonomous Digital Twins generation, to support trustworthy business processes in circular economies;

2) adopting an (International Data Space) IDS-based common data space, to promote and facilitate the secure and seamless exchange of manufacturing/product/business data within value-networks in a circular-economy ecosystem;

3) integrating novel hardware technologies into the digital thread, to create smart Green Gateways, empowering companies to perform data and digital twin enabled green decisions, and to unleash their full potential for actual zero-waste Circular Economy and reduced dependency from raw materials.

Results, demos, etc. Show all and search (14)

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Demonstrators, pilots, prototypes

Result items:

Battery Cloud Platform | State-of-Health (Libbation)

PET Endless Recycling (GR3N SA)

Sterilisation Process - Health Sector (CROMA)

More information & hyperlinks

Web resources:	https://cordis.europa.eu/project/id/101092021 https://www.auto-twin-project.eu/
Start date:	01-12-2022
End date:	30-11-2025
Total budget - Public funding:	5 999 986,00 Euro - 5 999 986,00 Euro
Twitter:	@autotwin_eu

Cordis data

Original description

The transition towards a Circular Economy is estimated to represent a $4.5 trillion global growth opportunity by 2030. Digital Twins availability is largely recognized as an accelerator and an enabler of Circular Economy in business and in production, but significant challenges are still standing in relation to its development within the present technological framework, the needed skill sets, and the implementation costs. AUTO-TWIN addresses the technological shortcoming and economic liability of the current system-engineering model by 1) introducing a breakthrough method for automated process-aware discovery towards autonomous Digital Twins generation, to support trustworthy business processes in circular economies; 2) adopting an (International Data Space) IDS-based common data space, to promote and facilitate the secure and seamless exchange of manufacturing/product/business data within value-networks in a circular-economy ecosystem; 3) integrating novel hardware technologies into the digital thread, to create smart Green Gateways, empowering companies to perform data and digital twin enabled green decisions, and to unleash their full potential for actual zero-waste Circular Economy and reduced dependency from raw materials.