Toward Sustainable Cities with the Help of Digital Twins

International, Forschung |

The 3DGeoInfo2023 conference started today with a full-day workshop on Urban Digital Twins. Prof. Thomas H. Kolbe, Chair of Geoinformatics at the Department of Aerospace and Geodesy, TUM School of Engineering and Design, presented key elements of Urban Digital Twins. Cities require drastic changes to reach sustainability goals.

Urban Digital Twins can help cities to develop in a sustainable, inclusive and efficient way. To adress all needs, these factors should be considered:

  • Stakeholders (consumers, producers, prosumers)
  • Distributed digital resources of the cities/regions (digital models of the physical environment, dynamic data from all domains, static data and analytical tools from all domains)
  • Joint catalog to register and find all resources
  • Interoperability of all components and data representations
  • Organizational & operational framework

Kolbe and his team at the Chair of Geoinformatics have developed an improved catalog service to manage all kinds of distributed information resources of urban digital twins, including a set of digital resources about the city distributed across all resource holders. The SDDI catalog is based on the CKAN Data Platform software and provides specific extensions, e.g. spatial & temporal metadata and search, GUI for linking catalog entries, navigation of catalog entries, DCAT, as well as supported information resources: digital twin, project, thing, geoobject, method, software, online service, online application, dataset/document.

The forum was a part of the 18th International 3DGeoInfo conference, which took place in Munich from 12-14 September 2023, hosted by the Chair of Geoinformatics at the Technical University of Munich, co-organized and sponsored by the City of Munich.

 

More information:

Chair of Geoinformatics at Technical University of Munich: www.asg.ed.tum.de/gis

SDDI catalog: Docker images https://github.com/tum-gis/ckan-docker and Helm charts for easy deployment of application
stack in Kubernetes Cluster https://github.com/tum-gis/sddi-ckan-k8s

Conference: www.3dgeoinfo.org