基于IRP的地质解译空间数据库设计与实现

发布时间：2018-06-06 22:49

本文选题：GIS + 信息资源规划　；参考：《中国地质大学(北京)》2017年硕士论文

【摘要】：随着GIS(Geographic Information System)技术和数据采集手段也不断完善,GIS在各行业中得到了广泛的应用。GIS技术与地质行业相结合为地质行业的业务处理带来了极大便捷性的同时也产生大量的空间数据。而空间数据又是GIS应用的核心,所以对空间数据进行有效的管理变得越来越重要。目前,空间信息资源的建设、管理和应用仍然存在相互独立,缺乏统一的规划和标准,空间数据的共享水平低,无法实现空间数据进行统一管理等问题,最终导致不能对已有的空间数据信息综合利用和智能分析。信息资源规划(IRP)可以对数据资源的处理和利用进行合理全面规划,提高信息高效利用水平。通过信息资源规划可以从总体数据高度统筹规划数据信息资源的存储、管理与开发利用,支持各类业务高效,有效的减少了数据冗余,降低了数据的维护成本,提高数据利用效率。也正因为基于IRP理论对数据管理的优势和解决数据信息“自建自用”的问题,提出基于信息资源规划理论的遥感地质解译空间数据库设计。本文将依据信息资源规划中主题数据库理论,提出地质解译主题数据库,根据地质解译行业的业务类型划分不同的主题。根据地质解译行业国家标准确定各类型的主题所包含的数据,并利用Enterprise Architect软件构建地质解译主题数据库,从而保证主题数据具有统一规范标准和良好互通性,提高数据的共享水平。依据信息资源规划的总体数据规划模型,提出遥感地质解译主题数据库、业务数据库、成果数据库、成果数据池的数据规划方案并设计各数据库之间的概念模型、逻辑模型及物理模型。根据地质解译数据的总体数据规划模型提出数据共享性功能模块,数据可移植性功能模块,数据可伸缩性功能模块及数据可扩展性功能模块,并对相应的功能模块进行实现。
[Abstract]:With the development of GIS Geographic Information system (GIS) technology and data acquisition means, GIS has been widely used in various industries. The combination of GIS technology and geological industry has brought great convenience to the business processing of geological industry, but also produced a large amount of spatial data. Spatial data is the core of GIS application, so the effective management of spatial data becomes more and more important. At present, the construction, management and application of spatial information resources are still independent of each other, lack of unified planning and standards, low level of spatial data sharing, unable to achieve unified management of spatial data, etc. Finally, the existing spatial data and information can not be integrated and intelligent analysis. Information resource planning (IRP) can make a reasonable and comprehensive plan for the processing and utilization of data resources and improve the level of efficient use of information. Through the information resource planning, we can plan the storage, management and development of the data information resources from the overall data height, support all kinds of business efficiently, effectively reduce the data redundancy, reduce the maintenance cost of the data. Improve the efficiency of data utilization. Because of the advantage of data management based on IRP theory and solving the problem of "self-building and self-using" of data information, the design of remote sensing geological interpretation spatial database based on information resource planning theory is put forward. According to the theory of subject database in information resource planning, this paper puts forward the subject database of geological interpretation, which is divided into different topics according to the business types of geological interpretation industry. According to the national standards of geological interpretation industry, the data contained in various types of topics are determined, and the database of geological interpretation topics is constructed by using Enterprise Architect software, so as to ensure the uniform standard and good interoperability of the subject data. Improve the level of data sharing. According to the general data planning model of information resource planning, this paper puts forward the data planning scheme of remote sensing geological interpretation subject database, business database and result data pool, and designs the conceptual model of each database. Logical model and physical model. According to the general data planning model of geological interpretation data, the data sharing function module, the data transplantable function module, the data scalability function module and the data extensibility function module are put forward, and the corresponding function modules are implemented.
【学位授予单位】：中国地质大学(北京)
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：P628.4

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