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作 者:危磊 WEI Lei
出 处:《重庆建筑》2024年第8期24-26,39,共4页Chongqing Architecture
摘 要:巷道的数字化与可视化是近年来开采领域研究的热点。为寻求一种高效便捷的巷道可视化方法,该文从摄影测量获得的图像集出发,利用运动恢复结构算法结合基于面片的多视角立体匹配算法重建巷道表面点云模型,巷道表面点云模型经过网格剖分和纹理映射后得到巷道的三维实景模型。以湖南邵阳常乐矿区三号矿井巷道为研究对象,重建了一段长约15 m的巷道模型,模型精度判别指标选用控制点距离,发现实测控制点距离与三维实景模型中的控制点距离之间的误差最大不超过1.5 cm。此外,将不同时段的巷道监测点位移量与模型所得位移量进行对比,发现相对误差控制在4.4%以内。验证了运动恢复结构算法在矿山巷道可视化研究中的可行性,生成的巷道三维实景模型细节丰富、纹理逼真,依据巷道三维实景模型监测变形满足精度需求,在地下远程作业中有广阔前景。The digitization and visualization of roadways have been a research hotspot in the mining field in recent years.To seek an efficient and convenient method for roadway visualization,this paper starts with image sets obtained from photogrammetry,uses the Structure from Motion(SfM)algorithm combined with the multi-view stereo matching algorithm based on patches to reconstruct the surface point cloud model of the roadway.After mesh division and texture mapping of the surface point cloud model,a 3D real-scene model of the roadway is obtained.Taking the roadway of No.3 mine shaft in Changle mining area,Shaoyang,Hunan as the research object,a roadway model with a length of about 15 m is reconstructed.The control point distance is selected as the model accuracy discrimination index,and it is found that the maximum error between the measured control point distance and the control point distance in the 3D real-scene model does not exceed 1.5 cm.In addition,comparing the displacement of roadway monitoring points at different time periods with the displacement obtained from the model,it is found that the relative error is controlled within 4.4%.This verifies the feasibility of the SfM algorithm in the research of mine roadway visualization.The generated 3D real-scene model of the roadway has rich details and realistic textures.Monitoring deformation based on the 3D real-scene model of the roadway meets the accuracy requirements and has broad prospects in underground remote operations.
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