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Estimating underground mine ventilation friction factors from low density 3D data acquired by a moving LiDAR 被引量:8
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作者 curtis watson Joshua Marshall 《International Journal of Mining Science and Technology》 EI CSCD 2018年第4期650-655,共6页
Ventilation system analysis for underground mines has remained mostly unchanged since the Atkinson method was made popular by Mc Elroy in 1935. Data available to ventilation technicians and engineers is typically limi... Ventilation system analysis for underground mines has remained mostly unchanged since the Atkinson method was made popular by Mc Elroy in 1935. Data available to ventilation technicians and engineers is typically limited to the quantity of air moving through any given heading. Because computer-aided modelling, simulation, and ventilation system design tools have improved, it is now important to ensure that developed models have the most accurate information possible. This paper presents a new technique for estimating underground drift friction factors that works by processing 3 D point cloud data obtained by using a mobile Li DAR. Presented are field results that compare the proposed approach with previously published algorithms, as well as with manually acquired measurements. 展开更多
关键词 Mine ventilation Mine design Mobile mapping Roughness estimation Friction factors LiDAR3D point clouds
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