Tavakoli, P; Yitmen, I; Sadri, H and Taheri, A (2024) Blockchain-based digital twin data provenance for predictive asset management in building facilities. Smart and Sustainable Built Environment, 13(1), pp. 4-21. ISSN 2046-6099
Abstract
Purpose: The purpose of this study is to focus on structured data provision and asset information model maintenance and develop a data provenance model on a blockchain-based digital twin smart and sustainable built environment (DT) for predictive asset management (PAM) in building facilities. Design/methodology/approach: Qualitative research data were collected through a comprehensive scoping review of secondary sources. Additionally, primary data were gathered through interviews with industry specialists. The analysis of the data served as the basis for developing blockchain-based DT data provenance models and scenarios. A case study involving a conference room in an office building in Stockholm was conducted to assess the proposed data provenance model. The implementation utilized the Remix Ethereum platform and Sepolia testnet. Findings: Based on the analysis of results, a data provenance model on blockchain-based DT which ensures the reliability and trustworthiness of data used in PAM processes was developed. This was achieved by providing a transparent and immutable record of data origin, ownership and lineage. Practical implications: The proposed model enables decentralized applications (DApps) to publish real-time data obtained from dynamic operations and maintenance processes, enhancing the reliability and effectiveness of data for PAM. Originality/value: The research presents a data provenance model on a blockchain-based DT, specifically tailored to PAM in building facilities. The proposed model enhances decision-making processes related to PAM by ensuring data reliability and trustworthiness and providing valuable insights for specialists and stakeholders interested in the application of blockchain technology in asset management and data provenance.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | asset information model; asset information requirements; blockchain; data provenance; digital twins; predictive asset management |
| Index terms: | asset management, interview, digital twin, Stockholm, methodology, qualitative research, conference, decision-making process, office building, real-time data, case study, platform, implementation, blockchain, ownership, effectiveness, built environment |
| Subjects: | research methods, economics, performance management, digital design, Geography, decision analysis, asset management, data management, infrastructure and transport systems, digital engineering, research design and methodology, data collection methods, research dissemination and communication, construction type, computing systems, contractual arrangements |
| Topics: | Organizational Design, Quality Management, Digital Applications, Urban Studies, Construction Technology, Procurement, Risk Management, Research Practice, Geographical Context, Business Strategy |
| Descriptive scope: | 4 PCTE |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here