Imagine having a perfect digital ghost of a machine that tells you exactly how to take it apart and fix it up like new. This system tracks a product's entire life so companies can stop throwing away old parts and start rebuilding them. It's like a high-tech manual and health tracker combined for industrial equipment.
Manufacturers struggle to profitably remanufacture old products due to a lack of data on asset condition and inefficient manual processes for disassembly and quality control.
An open-source distributed ICT platform featuring multi-layered Digital Twins, AI decision support, DLT traceability, and AR tools for factory workers.
If you are an aircraft component refurbisher dealing with high waste and expensive raw materials — this project developed a multi-layered Digital Twin and AI decision support that reduces raw material consumption and production costs.
If you are an EV battery or engine remanufacturer dealing with complex traceability and quality control — this project developed a DLT-based tracking system and AR tools that increase efficiency and competitiveness.
If you are a home appliance manufacturer dealing with inefficient end-of-life product recovery — this project developed an open-source ICT platform that enables seamless data management for circular remanufacturing.
Based on available project data, specific pricing is not mentioned, but the ICT platform is described as being based on open-source technology.
Yes, the project aims for TRL7 and includes a scaled replicability study to demonstrate adaptability across various industrial sectors.
Based on available project data, the ICT platform is developed using an open-source basis, though specific licensing terms for the AI and DLT services are not detailed.
The project focuses on the digitalisation of assets and uses a distributed ICT platform to allow seamless data management and Digital Twin implementation.
The project runs from 2024-01-01 to 2027-12-31, targeting a TRL7 demonstration by the end of the period.
The consortium is heavily weighted toward industrial application, with a 54% industry ratio consisting of 7 companies (including 4 SMEs). This strong commercial presence, combined with 3 universities and 3 research centers across 7 countries, suggests the project is driven by real-world operational needs rather than theoretical research.
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