|Generate QR code
Open Access
Subscription Access
Application of a machine vision system for monitoring the spatial position of construction equipment
https://doi.org/10.32446/0368-1025it.2022-3-29-35
Abstract
The problem of controlling the spatial position of machinery in construction is studied. The relevance of the topic is due to the need to improve the safety, quality and speed of work with the help of automated means of monitoring the spatial position of construction equipment. The method of application of the machine vision system to ensure the control of the spatial position of the bulldozer in the area of construction work is described. The method is based on the solution of the geodesic problem of the inverse single angular serif for three equidistant sighting targets of the active type, according to which the local coordinates and spatial position of construction equipment are determined. Methods of digital processing of video images are used to detect and identify sighting targets. The presented control method made it possible to track the planned and altitude positions of the bulldozer and the trajectory of its movement and, thus, automate excavation work. The method was tested using a physical model of a bulldozer. The technical and
metrological characteristics of the machine vision system are determined. The proposed method will be useful for monitoring the spatial position of construction equipment during earthwork.
About the Author
D. A. Roshchin
Research and Testing Center of the Railway Troops of the Ministry of Defense of Russia
Russian Federation
Russian Federation
Dmitriy A. Roshchin
Moscow
References
1. Duarte J., Marques A. T., Santos Baptista J., Safety, 2021, vol. 7, no. 1, 21. https://doi.org/10.3390/safety7010021
2. Gurcanli G. E., Baradan S., Uzun M., International Journal of Industrial Ergonomics, 2015, vol. 46, pp. 59–68. https://doi.org/10.1016/j.ergon.2014.12.004
3. Kim H., Kim K., J. Comput. Civ. Eng., 2016, vol. 30, no. 4, 04015075. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000562
4. Chi S., Caldas C. H., J. Constr. Eng. Manag., 2012, vol. 138, no. 3, pp. 341–351. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000438
5. Valero E., Adan A., Cerrada C., Sensors, 2015, vol. 15, no. 7, pp. 15988–16008. https://doi.org/10.3390/s150715988
6. Zhang A., Hammad S., Journal of Computing in Civil Engineering, 2012, vol. 26, no. 5, pp. 625–637. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000172
7. Jinwoo K., Seokho Ch., Jongwon S., Automation in Construction, 2018, vol. 87, pp. 297–308. https://doi.org/10.1016/j.autcon.2017.12.016
8. Mamta B. R., Pitroda J., Automation: A New Millennium Technology for Construction Industries, Global Research Analysis, 2013, vol. 2, no. 2, pp. 79–81.
9. Bing-wei Cao, Xin-hui Liu, Wei Chen, Peng Tan, Ping-fang Niu, Mathematical Problems in Engineering, 2020, vol. 2020, no. 1, 1730946. https://doi.org/10.1155/2020/1730946
10. Shcherbakov V. V., Buntsev I. A., Shcherbakov I. V, Astrakhantsev V. D., Systems of automated control of construction equipment (ACS-3D), Sibirskii gosudarstvennyi universitet geosistem i tekhnologii, 2018, no. 1, pp. 57–63. (In Russ.)
11. Borngrund C., Bodin U., Sandin F., Machine Vision for Construction Equipment by Transfer Learning with Scale Models, 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, UK, July 19–24, Institute of Electrical and Electronic Engineers (IEEE), 2020, pp. 1–8. https://doi.org/10.1109/IJCNN48605.2020.9207577
12. Roschin D. A., Information-measuring and Control Systems, 2021, vol. 19, no. 1, pp. 5−13. (In Russ.) https://doi.org/10.18127/j20700814-202101-01
13. Roschin D. A., Loading tracked vehicles under its own power on a trailer: control using a technical vision system, Izmeritel’naya tekhnika, 2022, no. 1, pp. 23–29. (In Russ.) https://doi.org/10.32446/0368-1025it.2022-1-23-29
14. Pavlov V. I., Photogrammetry. The theory of a single image and a stereoscopic pair of images, St. Petersburg, St. Petersburg Plekhanov Mining Institute Publ., 2006, 175 p.
15. Bolshakov V. D., Levchuk G. P., Geodesist’s Handbook, In 2 books, Book 2, Moscow, Nedra Publ., 1985, 440 p.
16. Roschin D. A., The model of the tracer optical coordinatemeasuring system, Journal of Applied Informatics, 2016, vol. 11, no. 6 (66), pp. 65–77. (In Russ.)
17. Bektas S., Karaahmetoğlu N., Yildirm R., Uyar A., Yildirim Ü. K., Pakel E., International Journal of Research – GRANTHAALAYAH, 2018, vol. 6, no. 2, pp. 292–298. https://doi.org/10.29121/granthaalayah.v6.i2.2018.1575
Review
For citations:
Roshchin D.A. Application of a machine vision system for monitoring the spatial position of construction equipment. Izmeritel`naya Tekhnika. 2022;(3):29-35. (In Russ.) https://doi.org/10.32446/0368-1025it.2022-3-29-35
Views:
191
Email this article 