International projects
Architecture engineering, Computer sciences, information science and bioinformatics, Construction engineering, Municipal and structural engineering
Researchers (6)
no. |
Code |
Name and surname |
Research area |
Role |
Period |
No. of publicationsNo. of publications |
1. |
20631 |
PhD Uroš Bohinc |
Civil engineering |
Researcher |
2023 - 2024 |
110 |
2. |
52325 |
PhD Mark Češnovar |
Civil engineering |
Researcher |
2023 - 2024 |
55 |
3. |
51589 |
Anja Lešek |
Civil engineering |
Researcher |
2023 - 2024 |
24 |
4. |
37333 |
PhD Katja Malovrh Rebec |
Energy engineering |
Head |
2023 - 2024 |
87 |
5. |
57842 |
Patricija Ostruh |
Civil engineering |
Researcher |
2023 - 2024 |
0 |
6. |
53089 |
Rok Rudolf |
Civil engineering |
Researcher |
2023 - 2024 |
11 |
Organisations (1)
Abstract
"The idea is to Build a Knowledge Base, that can be used to trace all activities related to the overall life-cycle of buildings. Since various
directives of the EU are related to sustainability, resilience and energy efficiency of building stock, it is necessary to provide a
marketplace where various actors can share their offers, including their quality certificates and credentials, and where it would be
possible to log and trace every information, activity and change, and use the knowledge to improve sustainability.
The project will extend a Digital Building LogBook (DBL), used by a municipality for the management and the administration of its
huge set of buildings, with several available and novel data, tools and functionalities, by the help of a Decentralized Knowledge Graph
(DKG), an open source blockchain-based solution. DKG software will include specific building-related ontologies, so that the whole
knowledge base about the life-cycle of the building can be logged and by that continuously updated, providing mechanisms and
interfaces for the relevant stakeholders, to publish, trace, share, tokenize, end even trade models in a market economy. Such
information integration can support decisions on optimal adaptation and intervention planning strategies for large populations of
buildings.
The DBL will be integrated with several new functionalities demonstrated on a dozen of use cases via easily accessible and publicly
available APIs. These functionalities will assure a high interoperability between legacy systems and existing tools (e.g. BIM, HBIM),
compliance with standards, providing automated warning and alerting system with the help of machine learning tools, digital
twinning, and decision-making support. The new DBL based applications will be tested on pilot projects focusing on historical and
critical buildings, and on building stocks.
The project targets a smarter and more sustainable built environment of the EU providing new market and new value creation."