Assessment of the need for modeling of organizational and technological processes at the stage of capital construction facility operation

Author:

Paramonov Maksim1ORCID

Affiliation:

1. Moscow State University of Civil Engineering

Abstract

The article is devoted to analyzing promising methods of interaction with the digital twin of a capital construction object and the need to create various methods to identify the need for certain processes with the building, whether it is operation, demolition, restoration and so on. The article gives a brief overview of the situation in the digital transformation of the construction industry and the process of getting rid of outdated methods. Changing business processes at the early stages of formation of the information model of the capital construction object allows to get a significant increase in the quality of information at all stages of the life cycle, which in turn makes it possible to implement a reasonable policy for the management of technological processes and production. All conclusions drawn from the experience of fellow researchers, empirical and statistical studies allow to significantly raise the quality of the developed system for the operation of the capital construction object, relying on all the above-mentioned indicators.

Publisher

RIOR Publishing Center

Reference14 articles.

1. Chih-Ming Wu, Lin-Yan Li, Ying Lai, Celia Xiao. Development and Application of Municipal Utility Tunnel Facility Management Based on BIM and VR // IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE). 2020. № 29. DOI: 10.1109/ECICE50847.2020.9301916, Chih-Ming Wu, Lin-Yan Li, Ying Lai, Celia Xiao. Development and Application of Municipal Utility Tunnel Facility Management Based on BIM and VR // IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE). 2020. № 29. DOI: 10.1109/ECICE50847.2020.9301916

2. F. Palmas, G. Klinker. Defining Extended Reality Training: A Long-Term Definition for All Industries, in Proceedings of the 2020 IEEE 20th International Conference on Advanced Learning Technologies, ICALT, 6–9 Июля 2020, Тарту, Эстония, F. Palmas, G. Klinker. Defining Extended Reality Training: A Long-Term Definition for All Industries, in Proceedings of the 2020 IEEE 20th International Conference on Advanced Learning Technologies, ICALT, July 6-9, 2020, Tartu, Estonia

3. Xiongwei Huang, Yongping Liu, Lizhen Huang, Erling Onstein, Christoph Merschbrock. BIM and IoT data fusion: The data process model perspective // Automation in Construction. 2023. №.149. с. 1-18. DOI: 10.1016/j.autcon.2023.104792, Xiongwei Huang, Yongping Liu, Lizhen Huang, Erling Onstein, Christoph Merschbrock. BIM and IoT data fusion: The data process model perspective // Automation in Construction. 2023. №.149. p. 1-18. DOI: 10.1016/j.autcon.2023.104792

4. Integrated methodology for industrial facilities management and design based on FCA and lean manufacturing principles

5. Radebe S., Ozumba A O U. Challenges of implementing sustainable facilities management in higher institutions of learning // The ASOCSA 14th Built Environment Conference, Conf. Series: Earth and Environmental Science 654. 2021 DOI: 10.1088/1755-1315/654/1/012010, Radebe S., Ozumba A O U. Challenges of implementing sustainable facilities management in higher institutions of learning // The ASOCSA 14th Built Environment Conference, Conf. Series: Earth and Environmental Science 654. 2021 DOI: 10.1088/1755-1315/654/1/012010

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