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Deconstruction project planning based on automatic acquisition and reconstruction of building information for existing buildings

Volk, Rebekka ORCID iD icon; Sevilmis, Neyir; Schultmann, Frank

Abstract:

As energetic, health and environmental requirements for buildings are changing, deconstruction of buildings in the course of retrofits or replacing construction is increasingly important. To plan change measures in existing buildings, buildings have to be audited manually which is associated with great effort. In our contribution, we propose and describe a combined system of a hardware sensor with software modules for building information acquisition, reconstruction and project planning. Furthermore, technical requirements, the acquired data, user interaction and system architecture are discussed. Our tool enables planner, experts or decision makers to inspect a building and at the same time digitally audit the building room by room. For this purpose, point clouds are acquired, analysed and a 3D building model is automatically derived to record it. Furthermore, the acquired data is automatically analysed in realtime to detect construction elements that are saved in a database. Then, based on the generated building element database building reconstruction and planning algorithms use the information for building inventorying and project planning. ... mehr


Volltext §
DOI: 10.5445/IR/1000052682
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Industriebetriebslehre und Industrielle Produktion (IIP)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2015
Sprache Englisch
Identifikator ISBN: 978-0-7988-5624-9
urn:nbn:de:swb:90-526827
KITopen-ID: 1000052682
Erschienen in Proceedings of SASBE2015, Smart and Sustainable Built Environments Conference, 9-11.12. 2015 in Pretoria, South Africa. Ed.: J. Gibberd
Verlag Pretoria
Seiten 47-56
Schlagwörter 3D building reconstruction, building auditing and acquisition, inventory, object detection, optimal deconstruction project planning
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