- Abstract:
- The issue of using unmanned aerial vehicles for geomechanical monitoring of the state of a rock mass near a developed quarry space is investigated. An example of the implementation of a methodology for assessing rock displacements in a deep quarry using unmanned aerial vehicles is given, a series of surfaces are processed in the ASNI Cloud 3D program, quantitative and qualitative characteristics of rock displacement in the area of a large collapse of the eastern side of the quarry are given. Based on the research results, it is concluded that the use of unmanned aerial vehicles in conjunction with the ASNI Cloud 3D program for operational monitoring of rock mass displacements is economically promising, which will speed up and simplify the procedure for creating digital models with the necessary degree of detail for designing variants of the mining development plan.
- Keywords:
- geomechanical monitoring, unmanned aerial vehicles, analysis of the condition of the sides, displacement of rocks, collapses, support signs, positioning accuracy
- For citation:
- Agarkov I. B., Rylnikova M. V., Nikiforova I. L. Methods of inspection of deformations of ledges and sides of quarries using unmanned aerial vehicles. Mine Surveying and Subsurface Use. 2024;(6):33-39. (In Russ.). https://doi.org/10.56195/207933 32_2024_6_33_39.
- Information about the authors:
-
- Ivan B. Agarkov - Head of the Laboratory of Mining Geology of the Department of Geology and Geoinformatics, Open Joint Stock Company «VIOGEM», 308007, Belgorod, Russian Federation, e-mail:
This email address is being protected from spambots. You need JavaScript enabled to view it. - Marina V. Ryl’nikova - Chief Researcher, Professor, Doctor of Technical Sciences, Institute of Comprehensive Exploitation of Mineral Resources Russian Academy of Sciences, 111020, Moscow, Russian Federation, e-mail:
This email address is being protected from spambots. You need JavaScript enabled to view it. - Irina L. Nikiforova - Research Associate, Institute of Comprehensive Exploitation of Mineral Resources Russian Academy of Sciences, 111020, Moscow, Russian Federation, e-mail:
This email address is being protected from spambots. You need JavaScript enabled to view it.
- Ivan B. Agarkov - Head of the Laboratory of Mining Geology of the Department of Geology and Geoinformatics, Open Joint Stock Company «VIOGEM», 308007, Belgorod, Russian Federation, e-mail:
- References:
-
- 1. Klyuev RV, Bosikov II, Mayer AV, et al. A comprehensive analysis of the use of effective technologies to enhance the sustainable development of the natural and technical system. Sustainable development of mining territories. 2020;12(2):283-290. DOI: 10.21177/1998-4502-2020-12-2-283-290 (In Russ.).
- 2. Zakharov VN, Gvishiani AD, Vaisberg LA, et al. Big Data and sustainable functioning of geotechnical systems. Gornyi Zhurnal. 2021;(11):45-52. DOI: 10.17580/gzh.2021.11.06 (In Russ.).
- 3. Rylnikova MV. Development of mining sciences, education and technological way of production – the basis for sustainable development and risk reduction in the complex development of the subsoil by combined geotechnologies. Izvestiya Tula State University. Earth Sciences. 2021;(3):10-25 (In Russ.).
- 4. Rylnikova MV, Perepelitsyn AI, Zoteev OV, et al. Features and prospects of the implementation of the draft federal norms and rules in the field of industrial safety “Rules for ensuring the stability of sides and ledges of quarries, cuts and dumps”. Russian Mining Industry. 2020;(1):132-139 (In Russ.).
- 5. Gilani SO, Sattarvand J, Hajihassani M, Abdullah SS. A stochastic particle swarm based model for long term production planning of open pit mines considering the geological uncertainty. Resources Policy. 2020;68(3101738). DOI: 10.1016/j.resourpol. 2020.101738.
- 6. Nagovitsyn OV, Wozniak MG. The influence of robotic technologies on the safety of open-pit mining operations. Mining information and analytical bulletin. 2022;(12-1):52-62. DOI: 10.25018/0236_1493_2022_121_0_52 (In Russ.).
- 7. Kopylov AS, Dzhioeva AK, Kondratiev YuI. An integrated approach to the development of the raw material base of a mining region using resource-reproducing technologies. Sustainable development of mountain territories. 2022;14(2):228-239. DOI: 10.21177/1998-4502-2022-14-2-228-239 (In Russ.).
- 8. Rylnikova MV, Klebanov DA, Rybin VV, et al. Control and management of geomechanical state and stability of structural elements of mining engineering elements in open-pit mines based on big data collection and analysis. Russian Mining Industry. 2024;(4):121-128. DOI: 10.30686/1609-9192-2024-4-121-128 (In Russ.).
- 9. Rules for ensuring the stability of sides and ledges of quarries, sections and slopes of dumps, 2020. Avialable from: https://docs.cntd.ru/document/573140211 (In Russ.).
- 10. Usanov SV, Konovalova YuP, Efremov EYu, et al. Unexpected deformation processes in the rock mass in surface mining: emergence factors and prevention capabilities. Russian Mining Industry. 2022;(1S):111-118. DOI: 10.30686/1609-9192-2022-1S-111-118. (In Russ.).
- 11. Reznichenko SS, Sytenkov VN, Naimova RS. Organization of an integrated system for monitoring the stability of sides and ledges of deep quarries using modern geodetic equipment // Rational development of the subsoil. 2017;(2):56-67 (In Russ.).
- 12. Klebanov AF, Makeev MA, Monakhov NV. Modern stability control system of quarry sides based on the use of MSR radars. Russian Mining Industry. 2015;1(119):75-76 (In Russ.).
- 13. Mustafin MG, Valkova EO, Valkov VA. Ways of development of surveying and geodetic observations for the stability of quarry sides. Mine Surveying bulletin. 2022;3(148):13-18 (In Russ.).
- 14. Kirikov DA, Fedorov VS, Kalimullina DI, et al. Analysis of aerial photography data from unmanned aerial vehicles to study the condition of the sides of a coal mine. Proceedings of Tula State University. Earth sciences. 2023;2:236-249 (In Russ.).
- 15. Boos IYu, Yunakov YuL, Patachakov IV, et al. Studying the structural features of the instrument array using a 3D slope model constructed using a multicopter. Mining information and analytical bulletin. 2021;(12):19-30. DOI: 10.25018/0236_1493_2021_12_0_19 (In Russ.).
- 16. Zhou H, Xiong HL, Liu Y, et al. Trajectory planning algorithm of UAV based on system positioning accuracyconstraints. Electronics. 2020;9:250.
- 17. Lian XG, Li ZJ, Yuan HY, et al. Rapid identification of landslide, collapse and crack based on low-altitude remote sensing image of UAV. J. Mt. Sci. 2020;(17):2915-2928.
- 18. Gushcha DI, Kovrizhnykh EV, Yeretnov NV, et al. Qualitative assessment of geomechanical risks based on the results of long-term monitoring and a 3D model of the deposit built using a multicopter. Moscow Economic Journal. 2022;(2). Avialable from: https://qje.su/nauki-o-zemle/moskovskij-ekonomicheskij- zhurnal-2-2022-7/ (In Russ.).
- 19. Nizametdinov NF, Nizametdinov RF, Oleinikova EA, et al. Laser-digital measurement technologies for monitoring the condition of quarry instrument arrays. Mine Surveying Bulletin. 2020;4(137):43-48 (In Russ.).
- 20. Zoteev VG, Zoteev OV. Atypical deformations of the sides of deep ore pits and measures to their prevention. Gornyi Zhurnal. 2007;(1):40-45 (In Russ.).
