Nghiên cứu thành lập mô hình 3D mặt bằng sân công nghiệp mỏ từ dữ liệu quét laser mặt đất và thiết bị bay không người lái

Canh Van Le; Cuong Xuan Cao; Son Si Tong; Hoa Van Dinh

Canh Van Le Hanoi University of Mining and Geology, Hanoi, Vietnam
Cuong Xuan Cao Hanoi University of Mining and Geology, Hanoi, Vietnam
Son Si Tong Vietnam Academy of Science and Technology, Hanoi, Vietnam
Hoa Van Dinh Hung Phat A Chau Company, Hanoi, Vietnam

Keywords: 3D model, Point Cloud, SCN, TLS, UAV

Abstract

In recent years, three-dimensional (3D) models are being built in many fields including mining. These products are often used to develop a database of smart mines which in terms can be used in the management of production in underground coal mines. Unmanned aerial vehicle (UAV) and terrestrial laser scanning (TLS) technologies are known as the two main technologies that quickly and accurately collect 3D point cloud (PC) data. This article presents the integration of a 3D point cloud produced from UAV photos and TLS to build a detailed 3D model for the ground plant at the level of +35 m in the Nui Beo underground coal mine. To collect data, a DJI Phantom 4 Advanced drone was used to take photos in three modes: a shot angle of 900, a 3D grid with a 450 angle, and a circular flight orbit with 450 and 600 shooting angles. A Faro Focus3D X130 laser scanner was used for scanning the mine shaft’s tower to fill the missing point cloud of the UAV. The PC established by both methods was evaluated for accuracy based on the control points measured by a Leica TS09 total station, which was merged by the Iterative Closest Point (ICP) algorithm. The integrated PC met the accuracy requirement of establishing a 3D model of the study area with the level of detail 3 in the CityGML standard.

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Research to establish 3D model of mine industrial site area from terrestrial laser scanning and Unmanned aerial vehicle data

Abstract

References