The week's pick
Reseach Article
A Data Architecture for Building Health Data Governance and Its Logical Integrity Validation
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 187 - Number 137 |
| Year of Publication: 2026 |
| Authors: Xiaoying Li, Nopasit Chakpitak, Fang Miao, Piyachat Udomwong |
10.5120/ijcaaf6dc7c91597
|
Xiaoying Li, Nopasit Chakpitak, Fang Miao, Piyachat Udomwong . A Data Architecture for Building Health Data Governance and Its Logical Integrity Validation. International Journal of Computer Applications. 187, 137 ( Aug 2026), 7-13. DOI=10.5120/ijcaaf6dc7c91597
Abstract
To address the dispersed sources, inconsistent representations, insufficient contextual associations, and non-uniform authorization mechanisms of building health data, this study proposes a Building Health Data Architecture (BHDA). The architecture enables the unified organization and controlled provision of raw and derived data through data preprocessing, standardized coding, unique identification, metadata registration, rights-attribution recording, and authorization rules. In the case validation, 300 data objects were registered, the derived-data association rate reached 100%, and all eight logical integrity checks were passed. The architecture also supported unauthorized-access rejection, multi-criteria queries, and standardized data output. The results demonstrate that BHDA provides a feasible framework for the governance and sharing of building health data.
References
- K. P. Seng, L. M. Ang, and E. Ngharamike, “Artificial intelligence Internet of Things: A new paradigm of distributed sensor networks,” Int. J. Distrib. Sens. Netw., vol. 18, no. 3, p. 15501477211062835, Mar. 2022, doi: 10.1177/15501477211062835.
- D. Andritsou, C. Alexiou, and C. Potsiou, “BIM, 3D Cadastral Data and AI for Weather Conditions Simulation and Energy Consumption Monitoring,” Land, vol. 13, no. 6, p. 880, Jun. 2024, doi: 10.3390/land13060880.
- S. Tang, D. R. Shelden, C. M. Eastman, P. Pishdad-Bozorgi, and X. Gao, “A review of building information modeling (BIM) and the internet of things (IoT) devices integration: Present status and future trends,” Autom. Constr., vol. 101, pp. 127–139, May 2019, doi: 10.1016/j.autcon.2019.01.020.
- X. Huang, Y. Liu, L. Huang, E. Onstein, and C. Merschbrock, “BIM and IoT data fusion: The data process model perspective,” Autom. Constr., vol. 149, p. 104792, May 2023, doi: 10.1016/j.autcon.2023.104792.
- S. Dong, H. Li, and Q. Yin, “Building information modeling in combination with real time location systems and sensors for safety performance enhancement,” Saf. Sci., vol. 102, pp. 226–237, Feb. 2018, doi: 10.1016/j.ssci.2017.10.011.
- P. Pauwels, S. Zhang, and Y.-C. Lee, “Semantic web technologies in AEC industry: A literature overview,” Autom. Constr., vol. 73, pp. 145–165, Jan. 2017, doi: 10.1016/j.autcon.2016.10.003.
- B. Balaji et al., “Brick: Metadata schema for portable smart building applications,” Appl. Energy, vol. 226, pp. 1273–1292, Sep. 2018, doi: 10.1016/j.apenergy.2018.02.091.
- T. Wang, V. J. L. Gan, D. Hu, and H. Liu, “Digital twin-enabled built environment sensing and monitoring through semantic enrichment of BIM with SensorML,” Autom. Constr., vol. 144, p. 104625, Dec. 2022, doi: 10.1016/j.autcon.2022.104625.
- N. Moretti, X. Xie, J. Merino, J. Brazauskas, and A. K. Parlikad, “An openBIM Approach to IoT Integration with Incomplete As-Built Data,” Appl. Sci., vol. 10, no. 22, p. 8287, Nov. 2020, doi: 10.3390/app10228287.
- B. Dave, A. Buda, A. Nurminen, and K. Främling, “A framework for integrating BIM and IoT through open standards,” Autom. Constr., vol. 95, pp. 35–45, Nov. 2018, doi: 10.1016/j.autcon.2018.07.022.
- D. D. Eneyew, M. A. M. Capretz, and G. T. Bitsuamlak, “Toward Smart-Building Digital Twins: BIM and IoT Data Integration,” IEEE Access, vol. 10, pp. 130487–130506, 2022, doi: 10.1109/ACCESS.2022.3229370.
- M. R. Bashir, A. Q. Gill, and G. Beydoun, “A Reference Architecture for IoT-Enabled Smart Buildings,” SN Comput. Sci., vol. 3, no. 6, p. 493, Sep. 2022, doi: 10.1007/s42979-022-01401-9.
- L. Chamari, E. Petrova, and P. Pauwels, “An end-to-end implementation of a service-oriented architecture for data-driven smart buildings,” IEEE Access, vol. 11, pp. 117261–117281, 2023, doi: 10.1109/ACCESS.2023.3325767./
- H. M. Wong and S. F. Norbaini, “The Data Governance: A Comprehensive Literature Review from Professional Viewpoints,” in Lect. Notes Networks Syst., Springer Science and Business Media Deutschland GmbH, 2025, pp. 491–510. doi: 10.1007/978-3-031-96380-3_42.
- Y. Celik, I. Petri, and M. Barati, “Blockchain supported BIM data provenance for construction projects,” Comput. Ind., vol. 144, p. 103768, Jan. 2023, doi: 10.1016/j.compind.2022.103768.
- R. Zheng, J. Jiang, X. Hao, W. Ren, F. Xiong, and T. Zhu, “CaACBIM: A Context-aware Access Control Model for BIM,” Information, vol. 10, no. 2, p. 47, Feb. 2019, doi: 10.3390/info10020047.
- G. Desogus, E. Quaquero, G. Rubiu, G. Gatto, and C. Perra, “BIM and IoT Sensors Integration: A Framework for Consumption and Indoor Conditions Data Monitoring of Existing Buildings,” Sustainability, vol. 13, no. 8, p. 4496, Apr. 2021, doi: 10.3390/su13084496.
- Ö. Karaduman and G. Gülhas, “Blockchain-Enabled Supply Chain Management: A Review of Security, Traceability, and Data Integrity Amid the Evolving Systemic Demand,” Appl. Sci., vol. 15, no. 9, p. 5168, May. 2025, doi: 10.3390/app15095168.
Index Terms
Keywords