Imagine if every brick and beam in a building had a digital passport telling you exactly how old it is and if it can be used again. Instead of knocking down a building and throwing everything in a landfill, this system helps you pick out the best parts to save. It's like a high-tech inventory for buildings that turns demolition into a smart harvesting process.
Buildings are demolished too early due to obsolescence, creating massive waste. Valuable materials are lost in landfills because there is no reliable way to track their quality or potential for reuse.
A Circular Potential Information Management (CP-IM) platform and 10 technical innovations including AI sorting and digital twin tools. It also includes an e-learning platform and business process guidelines.
If you are a developer dealing with building obsolescence and high demolition costs — this project developed a CP-IM platform that predicts the circular value of materials. This allows you to treat your old buildings as material banks rather than waste liabilities.
If you are a waste processor dealing with low-value mixed rubble — this project developed robotic automation and AI for identifying and sorting CDW. This helps you capture the most valuable materials that usually end up in landfills.
If you are an architect dealing with the pressure to use recycled materials — this project developed decision support tools based on digital twins. This enables you to design new buildings using high-quality reused products with verified life-cycle data.
Based on available project data, the specific pricing or licensing costs for the CP-IM platform are not provided.
Yes, the project demonstrates its innovations on 11 real-world projects and value chains to ensure they work in actual industry settings.
Based on available project data, the project is developing business process guidelines and proposals for standards to facilitate the exploitation of results.
It uses a digital twin representation and a specific ontology to create a digital representation of building products and materials.
The project runs from 2022-06-01 to 2026-05-31, meaning full results and guidelines will be available by May 2026.
The consortium is heavily weighted toward industry, with 10 industrial partners (56% ratio) and 5 SMEs, ensuring the results are commercially viable. It combines 18 partners across 8 countries, blending academic research from 5 universities with practical expertise in robotic automation and real estate management.
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