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PLAN B BIM AB

Country: Sweden
2 Projects, page 1 of 1
  • Funder: European Commission Project Code: 958161
    Overall Budget: 5,609,860 EURFunder Contribution: 5,609,860 EUR

    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.

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  • Funder: European Commission Project Code: 101056773
    Overall Budget: 5,999,560 EURFunder Contribution: 5,999,560 EUR

    Reincarnate aims at enabling the European construction industry to significantly reduce construction and demolition waste (CDW) by providing a circular potential assessment information model platform (CP-IM) and a set of innovations to make use of the CP-IM. The CP-IM will provide a digital representation of building materials and products with life-cycle information and prediction methods for tracing and predicting the lifetime of a products / material. The CP-IM will also allow for assessing the potential for lifetime extension and reuse and possibilities to predict circular value flows. Based on the CP-IM REINCARNATE will develop and demonstrate ten innovations that use CP-IM data, ranging from innovations for building inspection, to solutions for planning construction and dismantling, to automatically identifying and sorting CDW, to decision support tools for architects and real estate managers. The innovations will draw upon emerging digital technologies, such as digital twin representation, artificial intelligence, and robotic automation. REINCARNATE will also develop detailed social science insights about the social adoption behavior existing in the wider construction industry that will allow for understanding how a wide realization within the industry can be established that building products and materials can be reincarnated and re-used in high product quality. All innovations will be demonstrated on five selected demonstrators. Business process guidelines, an online learning platform with training materials and proposals for standards will be developed to additional foster widespread dissemination and exploitation of the REINCARNATE results. The REINCARNATE consortium combines 16 partners from different EU member countries and Hong Kong with strong expertise in digital twins, lifecycle prediction, material assessment, social sciences, construction management, architecture, and real estate management.

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