基于空间信息服务云月球数据共享机制研究

发布时间：2018-06-02 13:40

本文选题：月球数据 + 月球数据共享　；参考：《成都理工大学》2012年硕士论文

【摘要】：月球是离地球最近的一个星球，人类对这位朋友一直充满憧憬和向往，希望能够了解认识这位朋友。从人类一次观察研究月球开始，到现在已有几百年时间，在这几百年时间里，人类利用各种技术手段对月球进行探测。通过这几百年不懈的坚持与努力，人类获得了大量的月球数据和信息，特别是近年来，人类利用遥感技术、数字化测绘技术等高科技技术对月球进行了全面的探测，获得了海量的月球探测数据和信息，为人类了解月球，认识月球，进一步探测月球积累了大量宝贵的财富。月球探测数据和成果是人类了解、认识月球的依据，是进一步探测月球的基础，各国组织和学者都对月球数据展开研究以期获得更多的信息和资源财富。月球数据由各个国家组织自行探测研究获得的，月球数据从开始产生就具有多源、异构、多尺度等特点。中国自主研究月球探测卫星“嫦娥卫星”同样具有自己的特点，月球数据多源、异构等特点给研究者们利用各国不同的月球数据研究月球带来不便。而且中国月球数据主要存储在嫦娥工程地面应用中心，而月球领域的科学家们则分散在全国各地，如何让科学家们方便快捷的获取到月球数据进行研究是月球应用研究首先要解决的问题。云技术的兴起，给数据存储和管理带来了很大的进步，云计算的应用与发展也给G/S模式被赋予新的概念，S端发展为空间信息服务云，它以云计算和云存储为基础，以HGML为空间信息数据的传输规范和元数据管理基础，通过行业标识XXML将各个应用行业的海量数据进行分类和组织，对元数据进行进一步的细化，以提高数据查找的效率，实现数据共享。由于数据在空间信息服务云里进行分散存储，使用动态冗余和负载均衡等技术保证了数据的完整性和容灾性，从而保证能够为用户提供透明的数据服务。本文针对月球数据共享的需求以及现有空间地理信息共享技术存在的不足，从研究空间信息服务云和数字月球共享平台理论体系出发，对空间信息服务云的数字月球平共享平台体系架构进行深入研究，根据月球数据的特点建立一种以月球数据共享标识语言MDSML（Moon Data Share Markup Language）为基础的月球数据描述方法，并以此为核心设计了一套基于空间信息服务云的月球数据共享机制。本文的研究成果主要包括以下几个方面：（1）对月球数据进行分类。深入研究分析了现有月球数据的特点，根据月球数据具有海量性、异构性、多源性、多尺度、分布性、以及非结构化等复杂特征，结合分布式月球数据存储管理的特点与要求对月球数据进行分类，将月球数据分为空间数据和非空间数据。（2）设计了一套以数字月球共享标记语言MDSML为基础的月球数据描述方法。在深入研究GML、KML、HGM等地理标记语言的基础上，针对月球数据的特点和数据发布与成果共享的需求，设计了一种以可扩展标记语言XML的语法和格式为基础的月球数据共享标识语言——数字月球标记语言MDSML。通过数字月球数据共享标记语言MDSML能够实现对月球空间数据、属性数据、探月科学成果数据、月球非空间数据的描述，建立了一套以数字月球共享标记语言MDSML为基础的月球数据描述方法。（3）设计了一种基于空间信息服务云的月球数据共享机制。结合空间信息服务云的特点，利用MDSML对月球数据元数据进行标识，通过数据注册中心对月球元数据进行统一管理和操作实现月球数据实现数据一体化交换和数据共享。在研究成果的基础上，取得了以下两个创新点：（1）提出了一种月球数据共享标识语言——MDSML。在深入研究GML、KML等地理信息标识语言的基础上，结合月球数据发布和成果共享的需要，以可扩展标记语言XML的语法和格式为基础，遵循GML和HGML语法规则，设计和实现了一种月球数据共享标识语言，用于实现对以月球空间对象为核心的空间数据和属性数据以及探月科学成果数据特别是对月球元数据信息进行描述。（2）提出了一种基于空间信息服务云的月球数据共享机制。结合空间信息服务云的特点，利用MSDML对月球数据提供数据的信息、存储位置，数据检索点进行描述，通过数据注册中心对月球元数据进行统一管理和操作，，建立一种月球数据一体化数据交换共享机制。
[Abstract]:The moon is the closest planet to the earth. Human beings have been longing and yearning for this friend, hoping to know the friend. From the beginning of a man's observation and study of the moon, it has been hundreds of years now. In these hundreds of years, human beings have used various techniques to detect the moon. In recent years, human beings have made full detection of the moon by using remote sensing technology, digital mapping technology and other high-tech technologies, and obtained massive lunar exploration data and information, which has accumulated a large amount of human knowledge about the moon, the moon, and the further exploration of the moon. Valuable wealth. The lunar exploration data and results are the basis for human understanding, the understanding of the moon, and the basis for further exploration of the moon. All countries and scholars have studied the lunar data to gain more information and resource wealth.
The lunar data is obtained by the self-investigation of various countries. The lunar data has the characteristics of multi source, heterogeneous and multi scale from the beginning. The Chinese lunar exploration satellite "Chang'e satellite" has its own characteristics. The lunar data are multi source, heterogeneous and other special points for researchers to use different lunar data research for researchers. The lunar data is mainly stored in the Chang'e engineering ground application center, and the scientists in the moon are scattered all over the country. How to make it convenient for scientists to get the lunar data to study is the first problem to be solved in the lunar application research.
The rise of cloud technology has brought great progress to data storage and management. The application and development of cloud computing also gives the G/S model a new concept. The S end is developed as a space information service cloud. It is based on cloud computing and cloud storage, based on HGML as the basis of transmission rules and metadata management for spatial information data, and will identify XXML through industry. The mass data in various application industries are classified and organized, and metadata is further refined to improve the efficiency of data search and to realize data sharing. As data are stored in the space information service cloud, the integrity and disaster tolerance of the data are guaranteed by using dynamic redundancy and load balancing, thus guaranteeing the ability to ensure the integrity and disaster tolerance of the data. Enough to provide users with transparent data services.
In view of the demand for the sharing of the lunar data and the shortcomings of the existing spatial geographic information sharing technology, this paper, starting from the study of the spatial information service cloud and the theoretical system of the digital moon sharing platform, deeply studies the architecture of the digital moon flat sharing platform system of the space information service cloud, and establishes a kind of lunar data based on the characteristics of the lunar data. The lunar data description method based on MDSML (Moon Data Share Markup Language) is based on the moon data sharing identification language, and a set of lunar data sharing mechanism based on space information service cloud is designed as the core.
The research results of this paper include the following aspects:
(1) the classification of the lunar data.
The characteristics of the existing lunar data are deeply studied and analyzed. According to the complex features of the moon data, such as mass, isomerism, multisource, multi-scale, distribution, and unstructured, the lunar data are classified according to the characteristics and requirements of the distributed lunar data storage management, and the lunar data is divided into spatial data and non spatial data.
(2) designed a lunar data description method based on the digital lunar shared markup language MDSML.
Based on the in-depth study of GML, KML, HGM and other geographic markup languages, in view of the characteristics of the lunar data and the need for sharing data and the sharing of results, a lunar data sharing identification language based on the syntax and format of extensible markup language XML, the digital lunar labelled language MDSML., is designed to share the digital lunar data sharing standard. The language MDSML can realize the lunar data, attribute data, the data of the lunar exploration and the description of the moon's non spatial data, and set up a set of lunar data description method based on the digital moon shared markup language MDSML.
(3) a lunar data sharing mechanism based on spatial information service cloud is designed.
According to the characteristics of the space information service cloud, the MDSML is used to identify the metadata of the lunar data, and the unified management and operation of the lunar metadata is carried out through the data registration center to realize the integrated exchange and data sharing of the data of the moon.
On the basis of the research results, the following two innovations have been achieved:
(1) proposed a lunar data sharing markup language, MDSML.
Based on the in-depth study of GML, KML and other geographical information identification languages, combined with the needs of the publication of the lunar data and the sharing of results, based on the syntax and format of the extensible markup language XML, and following the rules of the GML and HGML syntax, a lunar data sharing identification language is designed and implemented for the realization of the core of the lunar space object. Spatial data and attribute data as well as lunar scientific achievements data, especially the description of lunar metadata information.
(2) a lunar data sharing mechanism based on spatial information service cloud is proposed.
According to the characteristics of the space information service cloud, the MSDML is used to provide data information, storage location, and data retrieval points to describe the lunar data, and to manage and operate the lunar metadata through the data registration center, and to establish an integrated sharing mechanism for the data exchange of the lunar data.
【学位授予单位】：成都理工大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：P184

【参考文献】