Analysis of Automation of the Access Control System at the Construction Site

Number of journal: 11-2023
Autors:

Rybakova A.O.,
Petrov D.A.

DOI: https://doi.org/10.31659/0044-4472-2023-11-49-53
УДК: 624

 

AbstractAbout AuthorsReferences
The development of digitalization tools in the construction industry takes place simultaneously in various processes and tasks. The use of data obtained automatically provides new opportunities for analysis and search for new work tools. The use of access control and management system data forms the basis for analysis and research on the construction site, which makes it possible to develop the new tools and methods for work and decision-making. The purpose of this study is to identify ways to improve labor efficiency based on the analysis of data from the access control system at the construction site. To achieve this goal, it is necessary to perform several tasks: to obtain and prepare the data of the access control and management system for processing, to export data to the database management system, to develop appropriate program queries to the database, to perform data analysis and formulate conclusions. The implementation of this study was carried out on the basis of analysis of practical data and tools of a database management system. As a result, a prototype of a system for monitoring employee attendance at the construction site will be presented. After implementing this system, stakeholders can track statistics and reduce the organization’s costs. As a result, an opportunity is formed for making the most rational management and organizational decisions, as well as determining future prospects for working in the company.
A.O. RYBAKOVA, Senior Lecturer (This email address is being protected from spambots. You need JavaScript enabled to view it.),
P.A. PETROV, Student (This email address is being protected from spambots. You need JavaScript enabled to view it.)

National Research Moscow State University of Civil Engineering (26, Yaroslavskoe Highway, Moscow, 129337, Russian Federation)

1. Ahmadisheykhsarmast S., Aminbakhsh S., Sonmez R., Uysal F. A transformative solution for construction safety: Blockchain-based system for accident information management. Journal of Industrial Information Integration. 2023. Vol. 35. 100491. https://doi.org/10.1016/j.jii.2023.100491
2. Zhu Z., Ning S. Corporate digital transformation and strategic investments of construction industry in China. Heliyon. 2023. Vol. 9. Iss. 7.2023. e17879. https://doi.org/10.1016/j.heliyon.2023.e17879
3. Braun K., Kropp C.Building a better world? Competing promises, visions, and imaginaries-in-the-making of the digitalization of architecture and construction. Futures. 2023. Vo. 154. 103262. https://doi.org/10.1016/j.futures.2023.103262
4. Xiao J., Zhang W., Zhong R.Y. Blockchain-enabled cyber-physical system for construction site management: A pilot implementation. Advanced Engineering Informatics. 2023. Vol. 57. 102102. https://doi.org/10.1016/j.aei.2023.102102
5. Сагидова М.Л. Современные системы контроля и управления доступом // Международный журнал гуманитарных и естественных наук. 2022. № 9–1.
5. Sagidova M.L. Modern control and access management systems. Mezhdunarodnyj zhurnal gumanitarnyh i estestvennyh nauk. 2022. No. 9–1. (In Russian).
6. Liu K., Wang C., Zhou X. Decentralizing access control system for data sharing in smart grid. High-Confidence Computing. 2023. Vol. 3. Iss. 2. 2023. 100113. https://doi.org/10.1016/j.hcc.2023.100113
7. Barrera-Animas A.Y., Davila Delgado J.M. Generating real-world-like labelled synthetic datasets for construction site applications. Automation in Construction. 2023. Vol. 151. 104850. https://doi.org/10.1016/j.autcon.2023.104850
8. Wang Y., Liu J., He X., Wang B. Design and realization of rock salt gas storage database management system based on SQL Server. Petroleum. 2018. Vol. 4. Iss. 4, pp. 466–472. https://doi.org/10.1016/j.petlm.2017.10.001
9. Link S., Koehler H., Gandhi A., Hartmann S., Thalheim B. Cardinality constraints and functional dependencies in SQL: Taming data redundancy in logical database design. Information Systems. 2023. Vol. 115. 102208. https://doi.org/10.1016/j.is.2023.102208
10. Pal A., Lin J.J., Hsieh S.H., Golparvar-Fard M. Automated vision-based construction progress monitoring in built environment through digital twin. Developments in the Built Environment. 2023. Vol. 16. 100247. https://doi.org/10.1016/j.dibe.2023.100247
11. Жук М.М. SQL: от традиционных баз данных к большим данным // Точная наука. 2022. № 136. С. 4–8.
11. Zhuk M.M. SQL: from traditional databases to big data. Tochnaya nauka. 2022. No. 136, pp. 4–8. (In Russian).

For citation: Rybakova A.O., Petrov D.A. Analysis of automation of the access control system at the construction site. Zhilishchnoe Stroitel’stvo [Housing Construction]. 2023. No. 11, pp. 49–53. (In Russian). DOI: https://doi.org/10.31659/0044-4472-2023-11-49-53


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