Wang, Meng;
Lilis, Georgios N;
Katsigarakis, Kyriakos;
Mavrokapnidis, Dimitrios;
Korolija, Ivan;
Rovas, Dimitrios;
(2024)
Automatic HVAC Topology Generation Using BIM Geometry Checking and Knowledge Graph Technologies.
In:
Proceedings of the 2024 European Conference on Computing in Construction.
European Council on Computing in Construction (EC³): Chania, Greece.
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Abstract
Developing digital twins of buildings can enhance the design process and streamline operational management. This study presents an automated framework designed to establish HVAC topologies of buildings using IFC-BIM data inputs. It achieves this by detecting geometric relationships among HVAC elements and generating a knowledge graph that captures their interconnections. A case study involving a recently constructed building in the UK was conducted to validate this framework. The resulting HVAC topology was compared against design drawings to identify any disparities, demonstrating the workflow's efficacy. This framework shows promising potential and generalization ability for application in various types of buildings.
Type: | Proceedings paper |
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Title: | Automatic HVAC Topology Generation Using BIM Geometry Checking and Knowledge Graph Technologies |
Event: | 2024 European Conference on Computing in Construction |
Location: | Chania, Crete, Greece |
Dates: | 15 Jul 2024 - 17 Jul 2024 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.35490/EC3.2024.257 |
Publisher version: | http://www.doi.org/10.35490/EC3.2024.257 |
Language: | English |
Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Building digital twins, Geometric relation check, Knowledge graph, HVAC topology |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources |
URI: | https://discovery.ucl.ac.uk/id/eprint/10194800 |
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