Abstract
For mines with complex natural terrain conditions, especially for open pit mines with poor slope stability; traditional surveying and mapping techniques are difficult to accurately map engineering quantities and have certain safety hazards. Based on the actual production, this paper systematically studies the key technology of multi-view image matching point cloud in the calculation of mining area engineering quantity, and verifies the feasibility and accuracy of it, and compares it with GPS-RTK, traditional aerial survey and other data acquisition technologies. Comparative analysis shows that multi-view image matching point cloud technology has certain advantages in terms of time, accuracy, cost and security risks. 1, a*
Highlights
China has a vast territory and rich mineral resources; the shallow buried deposits usually adopt open-pit mining methods; and the open-pit mining area often involves the calculation of engineering quantities in the process of early construction, mining and production and land reclamation, and is aimed at the engineering quantities of open-pit mining areas
Unmanned aerial vehicle (UAV) multi-vision photogrammetry technology is widely used in the surveying and mapping industry due to its flexible operation,and multiple auxiliary products
In terms of cost: Compared with GPS-RTK and traditional aerial survey technology that require investment in professional equipment, multi-view image matching point cloud technology only needs to be invested in consumer drones, which greatly reduces the cost
Summary
China has a vast territory and rich mineral resources; the shallow buried deposits usually adopt open-pit mining methods; and the open-pit mining area often involves the calculation of engineering quantities in the process of early construction, mining and production and land reclamation, and is aimed at the engineering quantities of open-pit mining areas. Low efficiency, and low density of sampling points[2]; three-dimensional laser scanning, lidar and other data collection methods have good terrain details, but they have the disadvantage of higher production costs[3]; aerial photogrammetry is due to airspace applications and production Disadvantages such as long cycle are rarely applied in actual engineering quantity calculation. This article applies multi-view image matching point cloud to the calculation of engineering quantity. This paper systematically introduces the key technology of multi-view image matching point cloud, analyzes the feasibility and accuracy of this technology, and compares it with other data acquisition technologies. The PMVS algorithm is used to perform dense matching of multi-view images to obtain DSM point clouds. The Delaunay triangulation network is constructed based on the DSM point cloud and the DTM method is used for engineering quantity calculation.
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