Mavrokapnidis, Dimitris;
(2023)
Enabling scalable deployment of data-driven applications across building portfolios.
In:
Proceedings of the 2023 European Conference on Computing in Construction and the 40th International CIB W78 Conference.
(pp. pp. 1-4).
European Council for Computing in Construction
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Abstract
Despite the promising benefits of data-driven applications to improve building performance, they are still developed on an ad-hoc basis, mainly due to the burden of discovering and reusing building data across deployment sites. Recent efforts in semantic data modelling aim to overcome these barriers, though application development remains building-specific, leading to bespoke configurations that cannot scale. This research seeks to establish a new regime of data-driven applications that are developed once and run across multiple buildings — similarly to the applications we download and use in our mobile phones. This research contributes to realising this vision in two ways: introducing (a) a method for automatic building metadata model generation through the lifecycle, and (b) a portable application development paradigm that offsets the burden of configuration in the authoring process. An overview of this vision and contributions are illustrated in Figure 1. These advancements are expected to overcome expertise barriers, reduce time for applications’ configuration and deployment, and thus, accelerate their adoption at scale.
Type: | Proceedings paper |
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Title: | Enabling scalable deployment of data-driven applications across building portfolios |
Event: | 2023 European Conference on Computing in Construction and the 40th International CIB W78 Conference |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.35490/ec3.2023.342 |
Publisher version: | http://www.doi.org/10.35490/EC3.2023.342 |
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 Information Modelling, Data Analytics, Semantic Web Technologies, Smart Buildings, Scalability |
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-pp.ucl.ac.uk/id/eprint/10173508 |
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