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基于模式识别的矿山复杂巷道快速建模方法研究——以棉花坑铀矿床为例

Research on Rapid Modeling Method of Mine Complex Roadway Based on Pattern Recognition:Taking Section of the Cotton Keng Uranium Deposit
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摘要 在处理复杂巷道三维模型的构建时,传统的中线法和腰线法均面临工作量大、调整次数多、巷道实体不容易闭合等问题。基于多边形模式识别理论提出一种复杂巷道快速建模方法。首先,对实测巷道的腰线进行整理使得线段闭合且不存在重复线段,然后在平面上对巷道包围的空间进行Delaunay三角剖分,生成一系列的三角形,据此生成巷道中心线,再根据巷道顶面控制点与中心点的位置关系生成一系列辅助线,最后根据三维空间的这些线生成DTM(数字地形建模)面,形成巷道实体。采用面向对象的程序设计与编程方法,以棉花坑铀矿床-100 m中段巷道模型绘制验证了复杂巷道快速建模方法的可行性。结果表明,采用该方面建模方便、快捷,能够很好地解决复杂巷道建模周期长的难题,对快速构建全矿井数字化模型具有重要意义。 When dealing with the construction of complex roadway 3D model,the traditional midline method and waist line method are faced with many problems,such as heavy workload,many times of adjustment and difficult closure of roadway entity.Based on polygon pattern recognition theory,a rapid modeling method for complex roadway was proposed.Firstly,the measured roadway’s lumbar line was sorted to make the line segment closed without repeating line segment.Then,the space surrounded by roadway was Delaunay triangulated on the plane to generate a series of triangles,and the roadway center line was generated accordingly.Next,a series of auxiliary lines are generated according to the position relationship between the control point and the center point of the roadway top surface.Finally,DTM(digital terrain model)planes are generated according to these lines in three-dimensional space to form the roadway entity.By using object-oriented programming and programming method,the feasibility of the fast modeling method of complex roadway is verified by drawing the roadway model of-100 m middle section of the cotton Keng uranium deposit.The results show that it is convenient and fast to adopt this aspect of modeling,and can solve the problem of long modeling cycle of complex roadway,which is of great significance to quickly establish the digital model of the whole mine.
作者 沈玉众 施林峰 杨江坤 SHEN Yuzhong;SHI Linfeng;YANG Jiangkun(The Fourth Research and Design Engineering Corporation of CNNC Institute for Research and Design of Uranium and Metallurgy,Shijiazhuang 050021,China)
出处 《科技和产业》 2024年第3期234-240,共7页 Science Technology and Industry
关键词 模式识别 巷道建模 VORONOI图 pattern recognition roadway modeling Voronoi diagram
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