Skip to main content
An official website of the European UnionAn official EU website
Go to the home page of the European Commission (opens in new window)
English English
CORDIS - EU research results
CORDIS
CORDIS Web 30th anniversary CORDIS Web 30th anniversary

BIM2TWIN: Optimal Construction Management & Production Control

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.

Objective

BIM2TWIN aims to build a Digital Building Twin (DBT) platform for construction management that implements lean principles to reduce operational waste of all kinds, shortening schedules, reducing costs, enhancing quality and safety and reducing carbon footprint. BIM2TWIN proposes a comprehensive, holistic approach. It consists of a (DBT) platform that provides full situational awareness and an extensible set of construction management applications. It supports a closed loop Plan-Do-Check-Act mode of construction. Its key features are:
1> Grounded conceptual analysis of data, information and knowledge in the context of DBTs, which underpins a robust system architecture
2> A common platform for data acquisition and complex event processing to interpret multiple monitored data streams from construction site and supply chain to establish real-time project status in a Project Status Model (PSM)
3> Exposure of the PSM to a suite of construction management applications through an easily accessible application programming interface (API) and directly to users through a visual information dashboard
4> Applications include monitoring of schedule, quantities & budget, quality, safety, and environmental impact.
5> PSM representation based on property graph semanticaly linked to the Building Information Model (BIM) and all project management data. The property graph enables flexible, scalable storage of raw monitoring data in different formats, as well as storage of interpreted information. It enables smooth transition from construction to operation.
BIM2TWIN is a broad, multidisciplinary consortium with hand-picked partners who together provide an optimal combination of knowledge, expertise and experience in a variety of monitoring technologies, artificial intelligence, computer vision, information schema and graph databases, construction management, equipment automation and occupational safety. The DBT platform will be experimented on 3 demo sites (SP, FR, FI).

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.

You need to log in or register to use this function

Call for proposal

(opens in new window) H2020-NMBP-ST-IND-2018-2020

See other projects for this call

Sub call

H2020-NMBP-ST-IND-2020-singlestage

Coordinator

CENTRE SCIENTIFIQUE ET TECHNIQUE DU BATIMENT
Net EU contribution
€ 670 000,00
Address
AVENUE JEAN JAURES 84
77420 Champs Sur Marne
France

See on map

Region
Ile-de-France Ile-de-France Seine-et-Marne
Activity type
Research Organisations
Links
Total cost
€ 670 000,00

Participants (23)