矿山三维空间信息集成系统及其应用研究
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摘要
随着我国矿山行业数字化和信息化进程的加快,矿山企业产生了大量的多源、异构和分布的矿山三维空间信息,同时也出现了“数据越丰富,知识越贫乏”的局面,急需对矿山空间三维信息的集成管理和深入挖掘进行研究。为此,本文以理论分析和实际应用验证相结合的方法,对矿山三维空间信息集成系统及其应用进行了系统深入的研究。主要研究内容如下:
(1)对矿山三维空间信息进行深入分析。将矿山空间信息划分为三类,即原始信息、成果信息和生产信息,并对这三类信息之间的信息流进行分析,得出它们相互间的内在联系。
(2)对矿山三维空间信息进行深入挖掘。根据矿山空间信息的特点,采用不同的数据挖掘方法,分别实现对煤岩参数、钻孔数据和测量数据的数据挖掘。为矿山空间信息的进一步应用和矿山空间信息模型的建立提供基础信息。
(3)对空间信息的聚类方法进行深入研究。根据空间数据的方向变化能够产生聚类这一特点,提出基于方向的空间数据聚类这一新方法,并设计和实现方向聚类算法,用实验数据对算法进行验证。针对具体应用的要求,在基于方向的空间数据聚类方法的基础上,进一步提出基于梯度的空间数据聚类方法,利用基于梯度的聚类方法实现对矿山断层数据的聚类,为断层的识别提供新方法。
(4)根据矿山空间信息的特点,提出基于约束三角剖分建立矿山空间信息表面模型的方法;根据煤层数据的层状特点,提出在对煤层等高线数据进行离散化的基础上,基于不规则四面体建立矿山空间信息实体模型的方法。这些方法的研究为矿山空间信息模型集成提供了理论基础。
(5)矿山三维空间信息集成。针对单一矿山空间信息模型的不足,对由等高线模型、基于约束三角剖分的表面模型和基于不规则四面体的实体模型进行集成,进而实现对矿山空间信息模型的集成管理。对原始信息、成果信息、生产信息和矿山空间信息模型四者相互间的信息流进行分析,得出各类矿山空间信息间的内在联系,实现对矿山三维空间信息的集成。
(6)设计并开发矿山三维空间信息集成系统。
As digital and information technology to speed up in China's mining industry, mining companies have had a large number of multi-source, heterogeneous and distribution three-dimensional information. At the same time there have been "more data-rich, the more knowledge-poor" situation, and it is in urgent need of the integration management to mine 3D spatial information and data mining in-depth research. To that end, this paper used the method of theoretical analysis and practical application to study mine 3D spatial information integrated system and its application. The main contents of the study are as follows:
(1) Mine 3D information has an in-depth analysis. Mine spatial information is divided into three categories: raw information, results information and production information. After the information flow analysis among these three categories information, they come to each other's internal relations.
(2) Mine 3D information has an in-depth data mining. According to the characters of the mine spatial information, using different data mining methods, to achieve the parameters of coal and rock, drilling data and measurements of data mining respectively. The information infrastructure is provided for the further application of information and spatial information mining model.
(3) Spatial information for clustering in-depth study. According to the changes in the direction of spatial data can produce cluster, we provides a new spatial data clustering method based on direction, and design and implement direction clustering algorithm. The algorithm has been verified by experimental data. Application-specific requirements, gradient clustering is provided on the basis of direction clustering. The algorithm of gradient clustering has been successfully on the fault information clustering. It provides a new method for fault identification.
(4) According to the mine spatial information characteristic, we have proposed the establishment of spatial information surface model based on constrained Delaunay triangulation(CDT); according to data layered characteristics of the coal seam, based on irregular tetrahedron, we establish mine spatial information solid model from the coal seam contour of discrete data. These methods provide a theoretical basis for spatial information integration model.
(5) Mine 3D information integration. According to the lack of the single model of mine spatial information, We integrate the contour model, the CDT surface model and the irregular tetrahedron-based solid model, leading to the mine spatial information model integrated management. After the information flow analysis among raw information, results information, production information and spatial information model, come to all types of spatial information between internal relations. Mine 3D spatial information integration is realized.
(6) The mine three-dimensional space information integration system has been designed and developed.
(1)对矿山三维空间信息进行深入分析。将矿山空间信息划分为三类,即原始信息、成果信息和生产信息,并对这三类信息之间的信息流进行分析,得出它们相互间的内在联系。
(2)对矿山三维空间信息进行深入挖掘。根据矿山空间信息的特点,采用不同的数据挖掘方法,分别实现对煤岩参数、钻孔数据和测量数据的数据挖掘。为矿山空间信息的进一步应用和矿山空间信息模型的建立提供基础信息。
(3)对空间信息的聚类方法进行深入研究。根据空间数据的方向变化能够产生聚类这一特点,提出基于方向的空间数据聚类这一新方法,并设计和实现方向聚类算法,用实验数据对算法进行验证。针对具体应用的要求,在基于方向的空间数据聚类方法的基础上,进一步提出基于梯度的空间数据聚类方法,利用基于梯度的聚类方法实现对矿山断层数据的聚类,为断层的识别提供新方法。
(4)根据矿山空间信息的特点,提出基于约束三角剖分建立矿山空间信息表面模型的方法;根据煤层数据的层状特点,提出在对煤层等高线数据进行离散化的基础上,基于不规则四面体建立矿山空间信息实体模型的方法。这些方法的研究为矿山空间信息模型集成提供了理论基础。
(5)矿山三维空间信息集成。针对单一矿山空间信息模型的不足,对由等高线模型、基于约束三角剖分的表面模型和基于不规则四面体的实体模型进行集成,进而实现对矿山空间信息模型的集成管理。对原始信息、成果信息、生产信息和矿山空间信息模型四者相互间的信息流进行分析,得出各类矿山空间信息间的内在联系,实现对矿山三维空间信息的集成。
(6)设计并开发矿山三维空间信息集成系统。
As digital and information technology to speed up in China's mining industry, mining companies have had a large number of multi-source, heterogeneous and distribution three-dimensional information. At the same time there have been "more data-rich, the more knowledge-poor" situation, and it is in urgent need of the integration management to mine 3D spatial information and data mining in-depth research. To that end, this paper used the method of theoretical analysis and practical application to study mine 3D spatial information integrated system and its application. The main contents of the study are as follows:
(1) Mine 3D information has an in-depth analysis. Mine spatial information is divided into three categories: raw information, results information and production information. After the information flow analysis among these three categories information, they come to each other's internal relations.
(2) Mine 3D information has an in-depth data mining. According to the characters of the mine spatial information, using different data mining methods, to achieve the parameters of coal and rock, drilling data and measurements of data mining respectively. The information infrastructure is provided for the further application of information and spatial information mining model.
(3) Spatial information for clustering in-depth study. According to the changes in the direction of spatial data can produce cluster, we provides a new spatial data clustering method based on direction, and design and implement direction clustering algorithm. The algorithm has been verified by experimental data. Application-specific requirements, gradient clustering is provided on the basis of direction clustering. The algorithm of gradient clustering has been successfully on the fault information clustering. It provides a new method for fault identification.
(4) According to the mine spatial information characteristic, we have proposed the establishment of spatial information surface model based on constrained Delaunay triangulation(CDT); according to data layered characteristics of the coal seam, based on irregular tetrahedron, we establish mine spatial information solid model from the coal seam contour of discrete data. These methods provide a theoretical basis for spatial information integration model.
(5) Mine 3D information integration. According to the lack of the single model of mine spatial information, We integrate the contour model, the CDT surface model and the irregular tetrahedron-based solid model, leading to the mine spatial information model integrated management. After the information flow analysis among raw information, results information, production information and spatial information model, come to all types of spatial information between internal relations. Mine 3D spatial information integration is realized.
(6) The mine three-dimensional space information integration system has been designed and developed.
引文
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