Project description
Digital twin platform for efficient construction management
The use of advanced technology is essential for improving the construction industry by allowing for more efficient management, increased productivity, and reduction of operational waste and carbon footprint. The EU-funded BIM2TWIN project will create a Digital Building Twin (DBT) platform for construction site management using artificial intelligence (AI) and semantic linked data techniques. The platform will provide full situational insight on the as-built product and as-performed processes, which will be used and compared to the as-designed product and as-planned processes through an extensible set of construction management applications to implement a closed-loop Plan-Do-Check-Act process. The full process will rely on multiple onsite sensors for data acquisition and cross-domain analysis, and complex AI-based event processing. The DBT will offer an application programming interface allowing construction management applications to interoperate with its data/information/knowledge bases.
Field of science
- /natural sciences/computer and information sciences/artificial intelligence/computer vision
Call for proposal
H2020-NMBP-ST-IND-2020-singlestage
See other projects for this call
Funding Scheme
RIA - Research and Innovation actionCoordinator
77420 Champs Sur Marne
France
Participants (16)
32000 Haifa
CB2 1TN Cambridge
80333 Muenchen
78153 Le Chesnay Cedex
01530 Vantaa
3467815 Haifa
20009 Donostia/san Sebastian (Gipuzkoa)
28108 Alcobendas
44801 Bochum
06200 Nice
60121 Ancona
35122 Padova
75015 Paris
80333 Munchen
08208 Sabadell Barcelona
8000 Aarhus C
