Digital Construction Capability Centre

DC3

The Digital Construction Capability Centre (DC3) is a full-scale laboratory and demonstration centre (‘capability centre’) of the most advanced digital technologies applied to the lean management of construction processes. Therefore, it is used both for research purposes and to host operators of the construction industry by involving them in situations that simulate the management of typical construction process scenarios, but with the aid of digital technologies and advanced management methods (e.g. augmented reality, “digital twin”) for the benefit of management efficiency. Such situations can be reproduced for any of the macro-phases of the construction process.

Activities

Construction Digitisation
  • Digitisation for workflow optimisation in the execution and management phases of construction
  • Digitisation of the built environment and Building Information Modelling (BIM)
  • Augmented Reality” and “Mixed Reality” systems for construction
  • Integration of drones for surveying, digitisation of buildings and control of construction processes
Development and testing of Digital Twin for Construction
  • Reality-mirroring through IoT and AI systems
  • Sensor networks and other tracking systems (e.g. smart cameras) to support reality-mirroring
Workshops and seminars on Digitalisation and the Digital Twin
  • Health & Safety in Construction
  • Automated workflow management in construction
  • Systems for ‘real-time’ decision support for emergency management in complex domains

Equipment

  • Lightweight drones for collecting images and point clouds for digitising outdoor environments, infrastructure and building complexes
  • Drones for supporting building and infrastructure monitoring operations
  • Lidar scanners for outdoor and indoor data collection
  • 360 cameras for collecting high quality spherical photos
  • Hololens mixed reality viewers
  • Oven for IoT device prototyping
  • Depth camera for developing mixed reality and artificial intelligence applications
  • Software for processing and aligning point clouds and photos
  • Software for causal inference based on Bayesian models
  • Videowalls for visualisation during workshops and seminars
  • Workstations for simulations and development of artificial intelligence applications

Staff

Prof. Alessandro Carbonari (scientific director and head of the laboratory)

Eng. Massimo Vaccarini (technical contact)

Prof. Berardo Naticchia

Prof. Massimo Lemma

Prof. Alberto Giretti

Dr. Alessandra Corneli

Dr. Leonardo Messi

Dr. Francesco Spegni