Digital twins for spatial environments

twin4bim

The network focuses on the development of concepts, methods, technologies, and applications for the acquisition, structuring, management, analysis, and visualization of digital twins for spatial environments. This includes their use for Building Information Modeling (BIM) in general, as well as construction monitoring, Industry 4.0-compliant linkage to industrial prefabrication and facility Management in particular.

Contact
Michael Lesch

+49 331 273 41 37
michael.lesch@geokomm.de


ZIM-cooperation network

The digital twin is an essential element of an overall concept for accelerating, improving quality, and optimizing costs in the construction industry and cost optimization in construction. Ancillary areas such as cleaning services, for example, benefit by improving execution quality and control capability.

The focus of the network’s work is therefore on novel technologies and processes for efficient, cost-effective, and coordinated, largely automated collection, processing, continuation, evaluation and provision of digital twins for spatial environments (such as streets, buildings, squares, infrastructure elements) based on 3D point clouds. For this purpose, processes, products, and services are to be developed and linked with each other in such a way that holistic processes and value chains can be developed.

The focus of projects planned so far:

  • Machine learning for automated point cloud interpretation.
  • Extraction of high quality IFC data from
  • historical material of arbitrary origin
  • Combination of Big Data and Machine-Learning
  • Real-time evaluation
  • Reduction of redundancy in point clouds
  • Self-localization of mobile devices
  • Monitoring and simulation
  • Acoustic data in IFC for BIM
  • User role definition in hardware and user interface
  • M2M BIM

ou can find more about the network on the website twin4bim.

You have questions about the network? 

Just send us an email.

The network offers
Members

  • Expansion of your Innovation capability
  • Easy access to funding
  • Reduction of R&D costs
  • Support in administrative processing
  • Support in the Development of new markets
  • Network with companies and scientific institutions
dresden elektronik
fokus GmbH Leipzig
German Deep Tech
GST
IVB Krause + Partner
LandPlan OS GmbH



PES Portuné Engineering Service GmbH


Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut, HHI
Leibniz-Institut für Polymerforschung Dresden e. V.
Laubwerk GmbH



virtualcitysystems GmbH


Hasso-Plattner-Institut für Digital Engineering gGmbH

Fakultät für Bauingenieure und Geodäsie
Scan3D Dienstleistungsgesellschaft mbH

DAI-Labor
Technische Universität



Hochschule für Angewandte Wissenschaften Hamburg
Technische Universität Dresden
Möhler + Partner Ingenieure AG


Fachhochschule Erfurt




Hochschule für Technik und Wirtschaft Dresden
ORBIT Gesellschaft für Applikations- und Informationssysteme mbH
Hochschule Neubrandenburg



Hochschule Anhalt