BUILDCHAIN-Building knowledge book in the blockchain distributed ledger
| Project title: | BUILDCHAIN-Building knowledge book in the blockchain distributed ledger |
| Project team: | UL FGG: Boštjan Brank, Blaž Kurent, Tomislav Franković |
| Duration: | 36 Months From January 1 2023 till December 31 2025 |
| Project code: | 101092052 — BUILDCHAIN |
| Lead partner: | University of Pisa |
| Project leader | Pietro Croce |
| Other project partner’s organization: | UL FRI (SI), U Pisa (I), U Granada (E), SZTAKI (H), ZAG (SI), AUEB (GR), Trace Labs (SI), RINA (I), Občina Firenze (I), CLIO (I), Ržišnik Perc (SI), BEXEL (SRB) |
| Source of finance: | Horizon Europe |
| Key words: | Building data; Digital Building Logbooks |
Description:
BUILDCHAIN will create a scalable BIM-based decentralized knowledge platform to digitally identify, register, update, and analyze massive amounts of data related to the overall life-cycle of buildings based on Origin Trail Decentralized Knowledge Graph. The BUILDCHAIN project will design and develop its own Digital Building Logbook solution for the integration of building data and knowledge, and the inclusion of new applications and functionalities dealing with integrated information, efficiency, circularity and transparency to improve the building stock, facilitate informed decision making and its validation.
Main goals:
Create a decentralized quality data ecosystem management system using blockchain technology. Improve energy efficiency, cost effectiveness, circularity and climate resilience by monitoring the current state of buildings through the integration of existing digital technologies such as digital twining, blockchain, and IoT-based sensing. Improve the safety, health and comfort of building occupants integrating data-driven modelling tools and optimizing functions. Improve the management of large building stocks. Ensure the trustworthiness, transparency and traceability of logbook data. Create a new tokenized economy around Digital Building Logbooks (DBLs).
Project work packages:
U1. Life cycle analysis and carbon footprint computations
U2. Reasoning architecture for the management of a large population of buildings
U3. Structural Health Monitoring (SHM), reliability assessment and anomaly detection with AI sensor fusion
U4. Earthquake and climate proof of building based on digital twinning
U5. SHM tools for cultural heritage buildings
U6. Follow-up procedures of design processes by Bayesian updating
U7. Precipitation monitoring for active control of local flooding
U8. Optimized ‘self-attentive’ sensing
U9. Post-catastrophic interventions
U10. Construction economics
U11. Management of deep renovation workflows
U12. Increase operational energy and energy efficiency of buildings