CONSTRUCTION AND ARCHITECTURE

Methods and technologies for storing construction equipment state data in construction management systems

Authors

  • Daniil A. Gorinov Saint Petersburg National Research University of Information Technologies, Mechanics and Optics, 197101, Saint Petersburg, Lomonosova Street, 9

How to cite

GOST Gorinov D. A. Methods and technologies for storing construction equipment state data in construction management systems // STROITEL'NYE I DOROZHNYE MASHINY. 2025. Vol. 69. No. 8. P. 20-31.
APA Gorinov, D. A. (2025). Methods and technologies for storing construction equipment state data in construction management systems. STROITEL'NYE I DOROZHNYE MASHINY, 69(8), 20-31.

Abstract

This paper analyzes state-of-the-art methods and technologies for scalable storage of construction equipment and machinery state data in construction project management systems. A systematic review of key approaches is conducted, including centralized and distributed relational DBMS, NoSQL solutions, Event Sourcing and CQRS patterns for equipment operation logging, and CRDT technologies for data synchronization between construction sites. Evaluation criteria for storage system effectiveness are established: consistency of machine state information, scalability with growing equipment fleets, monitoring operation latency, fault tolerance in construction site conditions, and information system operational costs. Based on experimental tests simulating concurrent operation of multiple construction machinery units, a comparative analysis of selected storage technologies is performed. Results are presented as detailed performance comparisons and substantiated recommendations for selecting optimal architectural solutions for various construction production scenarios. The practical significance lies in developing methodological guidelines for designing fault-tolerant and scalable construction equipment management systems considering modern requirements for construction industry digitalization.

Keywords

construction equipment construction management systems data storage machinery monitoring construction digitalization IoT in construction telematics construction machines

References

1. Almeida P.S. Approaches to conflict-free replicated data types// arXiv preprint. 2023. Art. 2310.18220.

2. Barreto A. Paulino H. Silva J. A. Preguiça N. PS-CRDTs: CRDTs in highly volatile environments// Future generation computer systems. 2023. Т. 141. С. 755-767.

3. Carvalho I. Sá F. Bernardino J. Performance evaluation of NoSQL document databases: Couchbase, CouchDB, and MongoDB// Algorithms. 2023. Т. 16. № 2. Art. 78.

4. Eppinger F. Störl U. NoSQL database tuning through machine learning// arXiv preprint arXiv:2212.12301. 2022.

5. Faria N. Pereira J. CRDV: Conflict-free replicated data views// Proceedings of the ACM on management of data. 2025. Т. 3. № 1. С. 1-27.

6. Ferreira S. Mendonça J. Nogueira B. Tiengo W. Andrade E. Impacts of data consistency levels in cloud-based NoSQL for data-intensive applications// Journal of cloud computing. 2024. № 1.

7. Hillenbrand A. Störl U. Nabiyev S. Scherzinger S. MigCast in Monte Carlo: the impact of data model evolution in NoSQL databases// arXiv preprint arXiv:2104.11787. 2021.

8. Khan W. Kumar T. Zhang C. Raj K. Roy A. M. Luo B. SQL and NoSQL database software architecture performance analysis and assessments – a systematic literature review// Big Data and cognitive computing. 2023. Т. 7. № 2. Art. 97.

9. Li P. Gong Y. Wang C. Schema extraction on semi-structured data// arXiv preprint arXiv:2012.08105. 2020.

10. Mohan R.K. Kanmani R.R.S. Ganesan K.A. Ramasubramanian N. Evaluating NoSQL databases for OLAP workloads: a benchmarking study of MongoDB, Redis, Kudu and ArangoDB// arXiv preprint arXiv:2405.17731. 2024.

11. Overeem M. Spoor M. Jansen S. Brinkkemper S. An empirical characterization of event sourced systems and their schema evolution – lessons from industry// Journal of systems and software. 2021. Т. 178. Art. 110970.

12. Portela B. Pacheco H. Jorge P. Pontes R. General-purpose secure conflict-free replicated data types// Cryptology ePrint archive. 2023. Art. 2023/584.

13. Rodrigues H. Silva A.R. Avritzer A. Assessment of performance and its scalability in microservice architectures: systematic literature review// SSRN. 2024.

14. Scherzinger S. Sidortschuck S. An empirical study on the design and evolution of NoSQL database schemas// arXiv preprint arXiv:2003.00054. 2020.

15. Taipalus T. Database management system performance comparisons: a systematic literature review// Journal of systems and software. 2024. Т. 208. Art. 111872.

Issue

Vol. 69 No. 8 (2025): Stroitel'nye i dorozhnye mashiny

Section

CONSTRUCTION AND ARCHITECTURE

Metrics

292 views
0 downloads
JATS XML
Want to publish with us?
Submit an article

Machine-readable metadata

JATS XML

Similar Articles

<< < 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.