Project description
Digital twin technology for the European construction sector
The emerging and widely applied in several industrial sectors digital twin technology can significantly improve the European construction sector. The EU-funded Ashvin project will establish an open-source digital twin platform integrating IoT and image technologies for a European digital twin standard. The project will deliver instruments and demonstrate procedures of platform applications to guarantee improvements in the construction industry that will optimise and increase productivity, reduce costs, and ensure safe work conditions and privacy. The platform will supply a digital representation of the construction product at hand and permit the collection of real-time data before, during and after production to allow permanent monitoring of changes in the environment and within the production process.
Objective
Ashvin aims at enabling the European construction industry to significantly improve its productivity, while reducing cost and ensuring absolutely safe work conditions, by providing a proposal for a European wide digital twin standard, an open source digital twin platform integrating IoT and image technologies, and a set of tools and demonstrated procedures to apply the platform and the standard proven to guarantee specified productivity, cost, and safety improvements. The envisioned platform will provide a digital representation of the construction product at hand and allow to collect real-time digital data before, during, and after production of the product to continuously monitor changes in the environment and within the production process. Based on the platform, Ashvin will develop and demonstrate applications that use the digital twin data. These applications will allow it to fully leverage the potential of the IoT based digital twin platform to reach the expected impacts (better scheduling forecast by 20%; better allocation of resources and optimization of equipment usage; reduced number of accidents; reduction of construction projects). The Ashvin solutions will overcome worker protection and privacy issues that come with the tracking of construction activities, provide means to fuse video data and sensor data, integrate geo-monitoring data, provide multi-physics simulation methods for digital representing the behavior of a product (not only its shape), provide evidence based engineering methods to design for productivity and safety, provide 4D simulation and visualization methods of construction processes, and develop a lean planning process supported by real-time data. All innovations will be demonstrated on 10 real-world construction projects across Europe. The Ashvin consortium combines strong R&I players from 11 EU member states with strong expertise in construction and engineering management, digital twin technology, IoT, and data security / privacy.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciencescomputer and information sciencesinternetinternet of things
- social scienceseconomics and businesseconomicsproduction economicsproductivity
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencescomputer and information sciencescomputational sciencemultiphysics
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Keywords
Programme(s)
Call for proposal
(opens in new window) H2020-NMBP-ST-IND-2018-2020
See other projects for this callSub call
H2020-NMBP-ST-IND-2020-singlestage
Funding Scheme
RIA - Research and Innovation actionCoordinator
10623 Berlin
Germany