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DISCOVER

Financiado

Cerrado

Digital autonomous Intelligent and Synchronous system for Continuous identific...

Digital autonomous Intelligent and Synchronous system for Continuous identification Optimization and Value Extraction of Resources from the end of use built environment DISCOVER aims to develop an autonomous, synchronous, continuous and intelligent identification and data analysis system for materials and products in existing end-of-life built works. The proposed approach will provide key stakeho... ver más

31/05/2028

Líder desconocido

6M€

Presupuesto del proyecto: 6M€

Líder del proyecto Líder desconocido

Fecha límite participación Sin fecha límite de participación.

Ver 14 Participantes

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2024-05-29

HORIZON-CL4-2023-TWIN-TRANSITION-01-11: Intelligent data acquisition and an... ExpectedOutcome:Faster and less labour-intensive identification, analysis and digitisation of materi...

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Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

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14 Participantes

TECHNISCHE UNIVERSITEIT DELF...

UNIVERSITAT POLITECNICA DE C...

C5LAB - SUSTAINABLE CONSTRUC...

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Duración del proyecto: 48 meses Fecha Inicio: 2024-05-29
Fecha Fin: 2028-05-31

Líder del proyecto Líder desconocido

Presupuesto del proyecto 6M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto DISCOVER aims to develop an autonomous, synchronous, continuous and intelligent identification and data analysis system for materials and products in existing end-of-life built works. The proposed approach will provide key stakeholders, including academia research performers, along with construction industry representatives, with data-driven insights to make deconstruction more efficient, optimise the use of resources, improve the environmental footprints and enhance the circularity of construction and demolition, unlocking the potential of end-of-life built works, which will become material banks. The expected outcomes include an autonomous robotic platform coupled with continuous identification tools to scan built works and provide synchronous quantitative and qualitative data from different materials, including complex and concealed elements. Artificial intelligence algorithms will allow a rapid analysis of the properties and characteristics of components, and feed the automated scan-to-BIM model creation. The multi-dimensional BIM, including selective demolition processes, labour productivity, and technical planning, will become a Digital Twin of the demolition site optimised by social, economic, and environmental multi-criteria assessments. This approach will highly contribute to significantly increasing the supply of traceable and sustainable construction materials and products for enhancing their wider market acceptance, following the waste hierarchy. The social impacts of digital transformation in the construction sector will be considered, and also new professional development tools for the relevant stakeholders will be proposed. The system will be tested in 4 different real demolition sites (Spain, Portugal, Poland and Belgium), offering a complete range of built work typologies and wide geographical coverage to demonstrate the replicability potential of DISCOVER, increasing the project dissemination capacity and awareness among the construction sector.

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