基于元数据管理的煤矿空间数据发布技术研究

发布时间：2018-02-11 04:25

本文关键词： 元数据自动提取空间数据共享 OGC 样式渲染　出处：《河南大学》2013年硕士论文　论文类型：学位论文

【摘要】：为促进空间数据更好地服务于煤矿企业的开发和利用，空间数据网络化服务变得非常重要，随着互联网技术的快速发展，WebGIS技术已逐步成为空间数据网络发布的主要技术途径，由于空间数据具有多源、异构、分布的特点，且传统WebGIS地图发布在技术上存在地图请求响应速度慢、网络传输占用带宽高、交互能力差、用户体验性能低等问题，不能满足海量空间数据在线服务的要求。为解决上述问题，本文分析了传统WebGIS技术存在的问题，深入研究了REST（Representational State Transfer，表述性状态转移）架构思想和OGC空间信息网络共享标准协议等技术，提出了基于栅格数据预切分与按需切分相结合和矢量数据样式渲染的地图发布技术，并在此基础上，实现了煤矿空间数据的共享和集成发布。本文的主要成果有以下几点：（1）提出基于数据模型分组的元数据管理技术，将元数据和数据模型分组管理，灵活地注册、修改和删除元数据。同时，每种数据模型对应一个元数据自动提取插件，，实现元数据、数据模型和元数据约束规则相结合的多维空间数据管理，从而为煤矿空间数据的动态查询和发布奠定基础。（2）提出基于REST架构思想的栅格数据发布技术，将GeoServer开源项目依据该思想进行功能扩展，实现栅格数据的自动批量发布。同时改进了GeoWebCache的瓦片检索机制，减少了瓦片比较次数；引入预先切分与按需切分相结合的切片机制，以适应静态和动态两种模式下的影像数据发布，通过两种方式的优化改进，提高了瓦片切分和检索速度，从而改善了用户体验。（3）提出空间矢量数据样式渲染发布方案，利用SLD进行点、线、面矢量数据的符号样式定制，使矢量数据的符号化特征得以发布共享，提高了矢量数据发布的图形丰富度和交互查询能力。基于上述技术和方法，设计和开发了空间信息网络共享发布平台。实现了空间数据的自动发布、多图层叠加、透明度控制、二三维显示浏览、元数据组合查询等发布服务，为空间信息数据在不同部门不同单位的信息共享提供解决方案。并对神东矿区的基础矢量图层、遥感监测影像、专题图层、现场监测数据等进行了发布测试，验证了此系统能充分满足空间数据在线发布服务的需求。
[Abstract]:In order to promote the development and utilization of spatial data in coal mining enterprises, spatial data networking service becomes very important. With the rapid development of Internet technology, WebGIS technology has gradually become the main technical approach of spatial data network publishing. Because of the characteristics of multi-source, heterogeneous and distributed spatial data, the traditional WebGIS map publishing has some problems, such as slow response speed of map request, high bandwidth of network transmission, poor interaction ability, low performance of user experience, and so on. In order to solve the above problems, this paper analyzes the problems existing in the traditional WebGIS technology. In this paper, the architecture of REST(Representational State transfer and the standard protocol of OGC spatial information network sharing are deeply studied. A map publishing technology based on raster data pre-segmentation and on-demand segmentation and vector data style rendering is proposed. On this basis, the sharing and integration of coal mine spatial data is realized. The main achievements of this paper are as follows:. (1) A metadata management technology based on data model grouping is proposed. Metadata and data models are grouped to manage, register, modify and delete metadata flexibly. At the same time, each data model has a metadata extraction plug-in. The multi-dimensional spatial data management which combines metadata, data model and metadata constraint rules is realized, which lays a foundation for dynamic query and publication of coal mine spatial data. (2) the raster data publishing technology based on REST architecture is put forward, according to which the GeoServer open source project is extended to realize the automatic batch release of grid data. At the same time, the retrieval mechanism of GeoWebCache tile is improved, and the number of tile comparison is reduced. The slicing mechanism of pre-segmentation and on-demand segmentation is introduced in order to adapt to the image data distribution in both static and dynamic modes. Through the optimization and improvement of the two methods, the speed of tile segmentation and retrieval is improved, and the user experience is improved. (3) A scheme of rendering and publishing space vector data style is proposed. The symbol style of point, line and plane vector data can be customized by using SLD, so that the symbolic features of vector data can be published and shared. The graphic richness and interactive query ability of vector data publishing are improved. Based on the above techniques and methods, a spatial information network sharing publishing platform is designed and developed, which realizes the automatic publishing of spatial data, multi-layer superposition, transparency control, two-dimensional display and browsing, metadata combination and query, etc. To provide a solution for the sharing of spatial information data in different departments and units, and to publish and test the basic vector map layer, remote sensing monitoring image, thematic map layer and field monitoring data of Shendong mining area, etc. It is verified that this system can fully meet the demand of spatial data online publishing service.
【学位授予单位】：河南大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：P208;TP391.41

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