Preview

Bulletin of Science and Research Center of Construction

Advanced search

Digital technologies for remote control and monitoring of construction works

https://doi.org/10.37538/2224-9494-2024-2(41)-148-157

EDN: ZCOBGS

Abstract

Introduction. The construction industry in the Russian Federation has good potential for digitalization. In spite of numerous unfavorable factors, a significant number of the most progressive construction companies adopt new technologies in their work, recognizing their high potential and effectiveness. Therefore, the legalization of information modeling technologies, which has been initiated at the governmental level, has a great chance of success. Digital transformation constitutes a necessary step for the sustainable development of the economy and construction industry.

Aim. To identify the advantages of using modern digital technologies in construction in order to further implement them in construction projects for automating routine processes and minimizing errors.

Materials and methods. The study provides a meta-analysis of 18 domestic and foreign studies (VAK or SCOPUS publications) on the application of digital technologies in construction, as well as an effectiveness assessment of the studied technologies.

Results. The advantages of unmanned aerial vehicles and mapping drones are undeniable, as well as the difficulties in using them in urban environments, especially in the centers of million cities. The main advantages of using drone technologies in construction include reception of detailed data from construction sites and their comparison with design documentation; objective monitoring of construction dynamics; a reduction in the number of occupational health and safety violations; improved quality of site monitoring and round-the-clock access to hard-to-reach areas; assessment of the scope of work performed; prompt response to deviations from design documentation and timely corrective actions; work with the BIM (Building Information Model) and digital model of the current object with the possibility of export to convenient CAD programs. The main disadvantages of using drone technology in construction are as follows: the maximum wind resistance of 15 m/s; the data obtained during rain or snowfall may be incorrect; the impossibility of automatic imaging within the project under construction.

Conclusions. The Pix4D Crane Camera is currently the safest solution for capturing aerial images, with subsequent conversion to 2D and 3D.

About the Author

D. M. Losev
Industrial University of Tyumen
Russian Federation

Danila M. Losev, Master’s degree student, “Digital Construction”

Lunacharskogo str., 2, Tyumen, 625001, Russian Federation

e-mail: losev_21@mail.ru



References

1. <i>Aicardi I., Chiabrando F., Grasso N., Lingua A.M., Noardo F., Spanò A.</i> UAV Photogrammetry with Oblique Images: First Analysis on Data Acquisition and Processing. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences. 2016;XLI-B1:835–842. https://doi.org/10.5194/isprs-archives-xli-b1-835-2016

2. <i>Noskov I.V., Noskov K.I., Tinenskaia S.V., Ananev S.A.</i> Dron-technologies in construction – modern solutions and opportunities. The Eurasian Scientific Journal. 2020;12(5). Available at: https://esj.today/PDF/37SAVN520.pdf. (In Russian).

3. <i>Yang C.H., Wen M.C., Chen Y.C., Kang S.C.</i> An Optimized Unmanned Aerial System for Bridge Inspection. In: Proceedings of the 32nd ISARC, Oulu, Finland. 2015; pp. 625–630. https://doi.org/10.22260/isarc2015/0084

4. <i>Kudasova A.S., Tyutina A.D., Sokolnikova E.V.</i> Application of unmanned aerial vehicles in construction. Engineering journal of Don. 2021;(8):31–38. (In Russian).

5. <i>Ellenberg A., Branco L., Krick A., Bartoli I., Kontsos A.</i> Use of Unmanned Aerial Vehicle for Quantitative Infrastructure Evaluation. Journal of Infrastructure Systems. 2014;(21):21–27. https://doi.org/10.1061/(asce)is.1943-555x.0000246

6. <i>Ham Y., Han K.K., Lin J.J., Golparvar-Fard M.</i> Visual monitoring of civil infrastructure systems via camera-equipped Unmanned Aerial Vehicles (UAVs): a review of related works. Visualization in Engineering. 2016;(1):289–296. https://doi.org/10.1186/s40327-015-0029-z

7. <i>Berdnikov A.D., Korkishko A.N.</i> The use of unmanned aerial vehicles in the construction and arrangement of oil and gas facilities. In: Pogorelova S.D. (ed.). Problems of engineering and socio-economic education in a technical university in the context of modernization of higher education: Materials of the XXII International Scientific and Practical Conference, Tyumen, April 27-28, 2023. Vol. 2. Tyumen: Industrial University of Tyumen; 2023, pp. 21–23. (In Russian).

8. <i>Daponte P., De Vito L., Mazzilli G., Picariello F., Rapuano S.</i> A height measurement uncertainty model for archaeological surveys by aerial photogrammetry. Measurement. 2017;(98):192–198. https://doi.org/10.1016/j.measurement.2016.11.033

9. <i>Kotova T.V.</i> On the use of UAVs in construction and landscaping. In: Studies of changes in the atmosphere, climate and landscape dynamics: proceedings of the V Caucasian International Environmental Forum, Grozny, December 20–21, 2021. Grozny: Kadyrov Chechen State University; 2021, pp. 158–160. (In Russian). https://doi.org/10.36684/53-2021-1-158-160

10. <i>Kotova T.V.</i> Important applications of drones and UAVs in construction monitoring. In: The development of science in the XXI century: collection of scientific papers based on the materials of the I International Interdisciplinary Conference, Moscow, March 22, 2022. Moscow: Scientific Publishing Center Tolmachevo; 2022, pp. 5–8. (In Russian).

11. <i>Mustafinov K.D.</i> UAVs in construction. In: Science and innovation – modern concepts: collection of scientific articles based on the results of the work of the International Scientific Forum, Moscow, March 27, 2020. Vol. 1. Moscow: Infiniti Publ.; 2020, pp. 83–87. (In Russian).

12. <i>Laborov V.A., Gamayunova O.S.</i> Robotics and BIM technologies in construction. Inzhenernyye issledovaniya = Engineering Research. 2021;(5):15–22. (In Russian).

13. <i>Perritt H.H. Jr., Sprague E.O.</i> Domesticating Drones: The Technology, Law, and Economics of Unmanned Aircraft. London: Routledge; 2016. https://doi.org/10.4324/9781315577999

14. HIVE. Autonomous drone solutions [internet]. Available at: https://hive.aero/.

15. <i>Murakhovsky M.V., Ilyina L.A.</i> Prospects of the foodnet market for the promotion of advanced startups for the production of innovative food products. In: Ensuring the scientific and technological sovereignty of the agro-industrial complex: the role of the state, science and business: collection of materials of the International Scientific and Practical Conference. Moscow: RIAPI named after A.A. Nikonov; 2023, pp. 22–25. (In Russian).

16. <i>Roberts D., Bretl T., Golparvar-Fard M.</i> Detecting and classifying cranes using camera-equipped UAVs for monitoring crane-related safety hazards. In: Computing in Civil Engineering 2017. Proceedings; 2017, pp. 442–449. https://doi.org/10.1061/9780784480847.055

17. <i>Sutjaritvorakul T., Vierling A., Berns K.</i> Data-driven worker detection from load-view crane camera. In: Proceedings of the 37th International Symposium on Automation and Robotics in Construction (ISARC). IAARC Publications; 2020, pp. 864–871. https://doi.org/10.22260/isarc2020/0119

18. <i>Abrahamyan S.G., Burlachenko A.O., Kumov A.V.</i> Perspective and experience of using unmanned aerial vehicles in construction In: Actual problems and prospects of development of the construction complex: proceedings of the International Scientific and Practical Conference, Volgograd, 1–2 December 2020. Vol. 2. Volgograd: Volgograd State Technical University; 2020, pp. 10–14. (In Russian).

19.


Review

For citations:


Losev D.M. Digital technologies for remote control and monitoring of construction works. Bulletin of Science and Research Center of Construction. 2024;41(2):148-157. (In Russ.) https://doi.org/10.37538/2224-9494-2024-2(41)-148-157. EDN: ZCOBGS

Views: 346


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2224-9494 (Print)
ISSN 2782-3938 (Online)