基于语义多尺度的矿山地下空间建模方法  

Mine underground space modeling method based on semantic multi-scale

作　　者：李雯静[1,2] 张馨心 林志勇 邱莉[1] 邱立强 LI Wenjing;ZHANG Xinxin;LIN Zhiyong;QIU Li;QIU Liqiang(School of Resources and Environmental Engineering,Wuhan University of Science and Technology,Wuhan 430081,China;Hubei Key Laboratory for Efficient Utilization and Agglomeration of Metallurgic Mineral Resources,Wuhan 430081,China;School of Remote Sensing and Information Engineering,Wuhan University,Wuhan 430079,China)

机构地区：[1]武汉科技大学资源与环境工程学院,湖北武汉430081 [2]冶金矿产资源高效利用与造块湖北省重点实验室,湖北武汉430081 [3]武汉大学遥感信息工程学院,湖北武汉430079

出　　处：《工矿自动化》2022年第3期129-134,共6页Journal Of Mine Automation

基　　金：湖北省高等学校优秀中青年科技创新团队计划项目(T2020002)。

摘　　要：针对基于语义的地下矿山实体建模方法细节层次划分不够详细、模型配置自由度较小、缺乏多尺度精细化表达的问题,将参数化建模和语义多尺度思想应用到矿山多细节层次(LOD)模型构建中,提出基于语义多尺度的矿山地下空间建模方法。确定建模对象为矿山地下空间内的实体要素,依据实体要素位置划分为巷道模型和巷道内模型,巷道模型包括巷道主体模型及其他人工构筑物模型,巷道内模型包括矿山设施模型和设备模型;根据实体要素的语义信息定义不同的语义类,语义类向下划分成族,再按照功能将族分解为组件元素;通过语义属性、几何属性、外观属性、特征属性等可量化指标来描述每个语义类。设计了矿山LOD模型,该模型包括6个层次的离散化LOD模型:巷道网络模型、巷道粗略模型、巷道精细模型、巷道内主要设施模型、巷道内主要设备模型、巷道内其他设备模型,将离散化LOD模型与各种属性进行组合,可清晰显示矿山LOD模型的详细程度和主次关系。基于语义多尺度的矿山地下空间建模方法能够提供不同细节丰富度的实体要素模型,降低场景渲染的计算复杂度,提高模型构建的效率和灵活性。In order to solve the problems of semantic-based underground mine entity modeling method, such as the lack of detail level division, the small degree of freedom of model configuration, and the lack of multi-scale fine expression, parametric modeling and semantic multi-scale ideas are applied to the construction of mine multi-level of detail(LOD) model, and a mine underground space modeling method based on semantic multi-scale is proposed. It is determined that the modeling object is the entity element in mine underground space. The modeling objects are divided into roadway model and in-roadway model according to the position of the entity element. The roadway model comprises a roadway main body model and other artificial structure models, and the in-roadway model comprises a mine facility model and an equipment model. The different semantic classes are defined according to the semantic information of the entity elements. The semantic classes are divided into families, and then the families are decomposed into component elements according to their functions. Each semantic class is described by quantifiable indicators such as semantic attributes, geometric attributes, appearance attributes and characteristic attributes. The mine LOD model is designed, which includes six levels of discrete LOD models,namely roadway network model, roadway rough model, roadway fine model, main facility model in roadway,main equipment model in roadway, and other equipment models in roadway. Combining the discrete LOD model with various attributes can clearly show the level of detail and the primary and secondary relationships of the mine LOD model. The mine underground space modeling method based on semantic multi-scale can provide entity element models with different detail richness, reduce the computational complexity of scene rendering and improve the efficiency and flexibility of model construction.

关 键 词：矿山三维建模 参数化建模 语义多尺度 LOD 语义划分 精细化表达 

分 类 号：TD67[矿业工程—矿山机电]