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MINE SURVEYING
Название Justification of UAV smart use range in surveying of Dukat open pit mining area
DOI 10.17580/gzh.2023.04.03
Автор Kurbatova V. V., Volin A. M., Lomakina N. E., Garifulina I. Yu.
Информация об авторе

Polytechnic Institute, North-Eastern State University, Magadan, Russia:

V. V. Kurbatova, Associate Professor, Candidate of Engineering Sciences, vvnika@mail.ru
A. M. Volin, Senior Lecturer
N. E. Lomakina, Senior Lecturer
I. Yu. Garifulina, Senior Lecturer

Реферат

The research subject is the technology of surveying using an unmanned aerial vehicle (UAV Phantom 4 Pro RTK) at Dukat deposit. Introduction of UAVs in surveying in open pit mining is a relevant trend of the present day. In accordance with the technical upgrading program, Dukat Mining and Processing Integrated Works got UAV Phantom 4 Pro RTK in June 2021. For the aerial survey data processing, Agisoft Metashape Professional software package was purchased. The vector dynamics of surveying at Dukat deposit included laying of height-control points, D-RTK2 installation, air route planning and acquisition of source data for modeling. Actual surveys used two methods of data processing in transition of coordinates to the local system. After surveying using tacheometer and satellite equipment, surfaces were constructed with cloud point export using AutoCad and Studio RM. During construction of the surfaces, the geometric analogies of their empirical distributions were compared. The UAV-based surface survey is currently a novel and promising area of theoretical research, and also an effective tool of solving many applied problems in mining geodesy. The research findings can be useful in practical activities of mine surveying services.
The authors express special thanks to M. V. Shpagin, Assistant Surveyor at Dukat Mine, and to M. A. Kuzmenkov, Assistant Lecturer at the Geology and Mining Department of the North-Eastern State University for the expert consulting.

Ключевые слова Unmanned aerial vehicle, quadcopter, drone, survey, processing, accuracy, model, point cloud, coordinates
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