在三维激光扫描原理基础上，针对井下不同作业环境提出了相适应的隐患空区激光探测系统（CMS）现场探测方法，即空区底部探测、封闭空区探测和通过空区上部通道探测。针对探测原始数据格式及其特点，研究了CMS空区探测点云数据过滤与探测数据拼接的原理，提出了多点扫描数据的拼接方法，实现了空区探测原始点云数据格式的转换，为建立空区三维实体模型提供了数据基础。结合Delaunay三角网剖分法，提出采用矿业软件Surpac构建可视化程度更高、可编辑性更强和实用性更好的空区三维模型方法，并将该技术成功应用于广西高峰矿复杂隐患空区三维特征信息获取及其可视化中。研究表明，采用该方法获取的空区三维特征信息为矿山实施空区评价与治理、开采质量控制、资源有效回收方案制定提供了技术支持。
On the basis of research involving the principle of 3D laser scanning, the different cavity detection methods are put forward according to the different conditions, such as cavity bottom detection, closed cavity detection, and through the cavity upper channel detection. Aiming at the original data format of monitor and its characteristic, the principle of cloud data filtering and data splicing of CMS cavity detection points are studied, the multi-point scanning data splicing method is put forward and the format conversion of cavity detection initial point cloud data is successfully realized, which provides a data base for establishing a cavity 3D solid model. The Delaunay Triangulation Method of cavities 3D modeling is researched. The cavity 3D model method based on mine software of Surpac, which has higher visual degree, editable, and better adaptability, is proposed, and it has been successfully applied to the 3D information acquisition and visualization of complex disaster cavity in Gaofeng Mine of Guangxi Province. The results indicate that cavity 3D information obtained by this method provides the technical support for cavity evaluation and management, quality control, and formulation of the effective resource recycling scheme, etc.
