面向智慧矿山的数据编码及元数据模型的研究

发布时间：2018-04-28 08:50

本文选题：智慧矿山 + 数据编码　；参考：《河南理工大学》2016年硕士论文

【摘要】：智慧矿山作为智慧地球的重要组成部分,越来越多的科技人员在思考如何推进矿山领域的信息化建设和智能化改造,目的为了打造出一个智能化、自动化、绿色、高效的矿山。目前,矿山领域还没有统一规范的数据编码体系,导致矿山数据共享少、数据利用效率低,如何高效地管理矿山数据,提高矿山数据的利用效率成为了一个重要研究课题。本论文研究智慧矿山的数据编码和元数据模型,从矿山资料的管理现状出发,以搜集到的矿山数据为基础资料,并结合矿山数据的特点,以服务智慧矿山为理念,对矿山数据进行分类编码,参考国内外元数据管理的相关理念,构建智慧矿山元数据模型,开发一个以元数据为核心的矿山数据管理系统,建立起空间数据、数据编码和元数据三者之间的联系,实现其相互间的便捷查询。本文的主要工作如下:(1)搜集各种与矿山相关的数据,研究其内容,参照其他行业数据分类标准,将矿山数据分为内部数据和外部数据,其中内部数据分为基础数据、主题数据和其他数据。(2)在矿山数据分类基础上,借鉴地理数据编码规则,矿山数据编码方法采用面状和线状相结合的方法对矿山数据进行分类,将数据分为大类、小类、一级类、二级类、三级类和四级类六个层次,共由14位数字和字母组成,并规定了每个层次的分类名称。(3)在研究元数据模型的基础上,设计智慧矿山元数据模型,利用Geodatabase和SQL Server平台分别建立智慧矿山空间数据库和元数据库,并在Visual Studio2010开发环境下,运用C#语言,在ArcGIS Engine平台下开发智慧矿山元数据管理系统,实现元数据的查询等功能。通过研究智慧矿山数据编码和元数据模型,为实现矿山数据共享和提高数据利用效率打下基础,为建设智慧矿山提供了更加科学的分类体系和管理理念。
[Abstract]:As an important part of the intelligent earth, more and more scientific and technological personnel are thinking about how to promote the information construction and intelligent transformation in the field of mines, in order to create an intelligent, automatic, green and efficient mine. At present, there is no uniform and standardized data coding system in the field of mining, which leads to less data sharing and low efficiency of data utilization. How to manage mine data efficiently and improve the efficiency of mine data utilization has become an important research topic. This paper studies the data coding and metadata model of the intelligent mine, starting from the present situation of mine data management, taking the collected mine data as the basic data, combining the characteristics of the mine data, taking serving the intelligent mine as the idea. This paper classifies and encodes mine data, constructs a intelligent mine metadata model, develops a mine data management system with metadata as the core, and establishes spatial data by referring to the related concepts of metadata management at home and abroad. The relationship between data encoding and metadata can be easily queried. The main work of this paper is as follows: (1) collecting all kinds of data related to mines, studying their contents, classifying mine data into internal data and external data according to other industry data classification standards, in which internal data are divided into basic data. Based on the classification of mine data and the rules of geographic data coding, the mining data coding method classifies mine data by the combination of plane and line, and divides the data into large categories and small categories. The first class, the second class, the third class and the fourth class are six levels, which are composed of 14 digits and letters, and the classification name of each level. (3) on the basis of studying the metadata model, the intelligent mine metadata model is designed. The spatial database and meta-database of intelligent mine are established by using Geodatabase and SQL Server, respectively. In the Visual Studio2010 development environment, the intelligent mine metadata management system is developed under the platform of ArcGIS Engine by using C # language, and the functions of metadata query are realized. By studying the data coding and metadata model of intelligent mine, this paper lays a foundation for realizing the sharing of mine data and improving the efficiency of data utilization, and provides a more scientific classification system and management idea for the construction of intelligent mine.
【学位授予单位】：河南理工大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TD67;P208

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