OOO Nauchno-proektnyy centr "Razvitie goroda" (General director)
Russian Federation
Russian Federation
Russian Federation
UDC 69.059
UDC 004.9
Source data of a capital construction facility is generated at the early stages of the life cycle and must be transferred between stages without loss; its completeness, reliability and machine-readability largely determine the efficiency of the facility life cycle management. Information gaps are most acute at the handover of the facility to the longest and most resource-intensive stage of the life cycle — operation, which accounts for about 75 % of total costs. In domestic practice the composition, collection methods and form of source data are not systematized or differentiated by object type and by the availability of an information model, which causes information gaps in the life cycle. The aim is to identify and systematize the features of collection and completeness assessment of source data in the life cycle management of a facility, primarily an apartment building. Using apartment buildings as an example, the composition of source data is systematized into five functional groups detailed by attribute subgroups, carriers, update frequency and responsible parties; a comparative analysis of two collection strategies — primary (inspection, laser scanning, scan-to-BIM) and model-based with COBie exchange — is carried out against seven criteria; a data collection and verification procedure and an attribute completeness coefficient are proposed. It is established that the efficiency of the facility life cycle management is determined not by the volume but by the structuring of source data and the continuity of its transfer between stages; a differentiated collection approach depending on object type and model availability and a quantitative data completeness tool are proposed.
life cycle management, capital construction facility, apartment building, source data, building information modeling, laser scanning, COBie, information requirements, data completeness
1. Gusakova E.A. Directions for predictive analysis of the life cycle of real estate development projects// Vestnik MGSU. 2019, Vol. 14 (7). P.805-13. DOI:https://doi.org/10.22227/1997-0935.2019.7.805-818.
2. Kievskiy I. L., Hertz V. A. Organizational and Technological Modeling of the Operation of Apartment Buildings Through Information Models. Promyshlennoe i grazhdanskoe stroitel'stvo [Industrial and Civil Engineering], 2024, no. 11, pp. 4-9. (In Russ.). doi:https://doi.org/10.33622/0869-7019.2024.11.04-09.
3. Becerik-Gerber B., Jazizadeh F., Li N., Calis G. Application Areas and Data Requirements for BIM-Enabled Facilities Management // Journal of Construction Engineering and Management. 2012. Vol. 138, No. 3. P. 431–442. DOI:https://doi.org/10.1061/(ASCE)CO.1943-7862.0000433. URL: https://ascelibrary.org/doi/abs/10.1061/(ASCE)CO.1943-7862.0000433.
4. Volk R., Stengel J., Schultmann F. Building Information Modeling (BIM) for Existing Buildings — Literature Review and Future Needs // Automation in Construction. 2014. Vol. 38. P. 109–127. URL: https://www.sciencedirect.com/science/article/abs/pii/S092658051300191X. DOI: https://doi.org/10.1016/j.autcon.2013.10.023
5. Matarneh S., Danso-Amoako M., Al-Bizri S., Gaterell M., Matarneh R. BIM-Based Facilities Information: Streamlining the Information Exchange Process // Journal of Engineering, Design and Technology. 2019. Vol. 17, No. 6. P. 1304–1322. URL: https://pure.port.ac.uk/ws/portalfiles/portal/15115071/BIM_based_facilities_information.pdf DOI: https://doi.org/10.1108/JEDT-02-2019-0048
6. Matarneh S. T., Danso-Amoako M., Al-Bizri S., Gaterell M., Matarneh R. T. BIM for FM: Developing Information Requirements to Support Facilities Management Systems // Facilities. 2020. Vol. 38, No. 5/6. P. 378–394.
7. Fang Z., Liu Y., Lu Q., Pitt M., Hanna S., Tian Z. BIM-Integrated Portfolio-Based Strategic Asset Data Quality Management // Automation in Construction. 2022. Vol. 134. Art. 104070. URL: https://www.sciencedirect.com/science/article/pii/S0926580521005215. DOI: https://doi.org/10.1016/j.autcon.2021.104070
8. Durdyev S., Ashour M., Connelly S., Mahdiyar A. Barriers to the Implementation of Building Information Modelling (BIM) for Facility Management // Journal of Building Engineering. 2022. Vol. 46. Art. 103736. URL: https://www.sciencedirect.com/science/article/abs/pii/S2352710221015941. DOI: https://doi.org/10.1016/j.jobe.2021.103736
9. Borodulin K.V. The introduction of building information modeling in maintenance of buildings and structures // Young Scientist LLC. 2019. № 2 (240). P. 200–202. URL: https://moluch.ru/archive/240/55593.
10. Chernikova A.A. Building information modeling at the building operation stage // Young Scientist LLC. 2022. № 49 (444). P. 66–68. URL: https://moluch.ru/archive/444/97392.
11. Demenev A.V., Artamonov A.S. Information modeling on operation of buildings and structures // On-line Journal Naukovedenie. 2015. Vol. 7, № 3. URL: http://naukovedenie.ru/PDF/29TVN315.pdf.
12. Karavaeva N. M., Goncharova N. V., Daineko L. V., Yurasova I. I. Redevelopment and reconception of surplus retail property. Perm University Herald. Economy, 2022, vol. 17, no. 4, pp. 453–473. DOI:https://doi.org/10.17072/1994-9960-2022-4-453-473.
13. Chernyavsky A. V. Development of building information modeling technology for facility management // Young Scientist LLC. 2024. № 45 (544). P. 44–50. URL: https://moluch.ru/archive/544/118823.
14. Kupriyanovsky V. P., Sinyagov S. A., Namiot D. E., Kupriyanovskaya Yu. V. Economic benefits of using combined BIM-GIS models in the construction industry // International Journal of Open Information Technologies. 2016. Vol. 5, № 4. URL: http://injoit.org.
15. Marmo R., Polverino F., Nicolella M., Tibaut A. Building Performance and Maintenance Information Model Based on IFC Schema // Automation in Construction. 2020. Vol. 118. Art. 103275. URL: https://www.sciencedirect.com/science/article/abs/pii/S0926580520302181. DOI: https://doi.org/10.1016/j.autcon.2020.103275
16. Hertz V. A., Knyazeva N.V. Regulatory documentation for the operation of buildings with BIM // CONSTRUCTION AND ARCHITECTURE Volume 11 № 3, 2023. P.9 DOI: https://doi.org/10.29039/2308-0191-2023-11-3-9-9
17. Kazado D., Kavgic M., Eskicioglu R. Integrating Building Information Modeling (BIM) and Sensor Technology for Facility Management // Journal of Information Technology in Construction. 2019. Vol. 24. P. 440–458. URL: https://itcon.org/papers/2019_23-ITcon-Kazado.pdf.
18. Mannino A., Dejaco M. C., Re Cecconi F. Building Information Modelling and Internet of Things Integration for Facility Management // Applied Sciences. 2021. Vol. 11, No. 7. Art. 3062. URL: https://www.mdpi.com/2076-3417/11/7/3062.
19. Moretti N., Ellul C., Re Cecconi F., Papapesios N., Dejaco M. C. GeoBIM for Built Environment Condition Assessment Supporting Asset Management Decision Making // Automation in Construction. 2021. Vol. 130. Art. 103859. URL: https://www.sciencedirect.com/science/article/abs/pii/S0926580521003101. DOI: https://doi.org/10.1016/j.autcon.2021.103859
20. Akcamete A., Akinci B., Garrett J. H. Potential Utilization of Building Information Models for Planning Maintenance Activities // Proceedings of the EG-ICE 2010. Nottingham, UK, 2010.
