本文關鍵詞： 4G地學空間數(shù)據(jù) 數(shù)據(jù)集成 數(shù)據(jù)倉庫 元數(shù)據(jù) 數(shù)據(jù)質量控制　出處：《吉林大學》2014年博士論文　論文類型：學位論文

【摘要】：隨著計算機和網(wǎng)絡技術的飛速發(fā)展，地學研究也相應出現(xiàn)適應計算機和網(wǎng)絡技術創(chuàng)新發(fā)展的新特點。20世紀中后期地理信息系統(tǒng)（Geographic Information System，簡稱GIS）引入地學研究后，地學數(shù)據(jù)集成與地學科學決策得到長足發(fā)展、取得豐碩成果，吉林大學地學G4I系統(tǒng)隨之應運而生。本文所指4G地學空間數(shù)據(jù)，是對地質學（Geology）、地理學（Geography）、地球化學（Geochemistry）、地球物理學（Geophysics）數(shù)據(jù)（首字母都為G，簡稱4G）的統(tǒng)稱。地學G4I系統(tǒng)研究所涉及4G地學空間數(shù)據(jù)具有多學科綜合的特點，存在多元、語義和多維復雜空間結構等因素引起的異構問題，系統(tǒng)應用必須進行數(shù)據(jù)分析、處理、融合等集成操作以構建地學數(shù)據(jù)模型進而滿足用戶需求。數(shù)據(jù)集成操作因此成為地學研究的基本前提和必須步驟。特別是受4G地學空間數(shù)據(jù)在數(shù)據(jù)結構、空間模型與格式轉換上的較大差異影響，數(shù)據(jù)共享難以有效實現(xiàn)。較好地研究解決數(shù)據(jù)集成面臨的這些難題，可以大幅減少數(shù)據(jù)重復采集冗余，降低數(shù)據(jù)采集成本，充分挖掘數(shù)據(jù)信息，提高數(shù)據(jù)利用率，實現(xiàn)數(shù)據(jù)網(wǎng)絡共享，增強經(jīng)濟效益。 本文針對4G地學空間數(shù)據(jù)多源異構分布的特點和集成數(shù)據(jù)質量控制難的實際，在認真分析國際國內(nèi)數(shù)據(jù)集成及其關鍵技術研究現(xiàn)狀的基礎上，采用地學空間數(shù)據(jù)倉庫和數(shù)據(jù)質量評價控制等關鍵技術加以研究解決，并對空間數(shù)據(jù)質量保障及質量評價技術進行改進。該研究便于進一步數(shù)據(jù)挖掘和信息融合并利于4G地學空間數(shù)據(jù)共享操作的實現(xiàn)�，F(xiàn)將本論文的工作和成果簡述如下： 1.數(shù)據(jù)集成技術研究現(xiàn)狀 闡明4G地學空間數(shù)據(jù)集成各主要方面的研究現(xiàn)狀和發(fā)展趨勢，提出4G地學空間數(shù)據(jù)集成中的關鍵問題及研究現(xiàn)狀，說明解決4G地學空間數(shù)據(jù)集成的關鍵技術。 2.4G地學空間數(shù)據(jù)特征研究 討論4G地學空間數(shù)據(jù)的來源，分析了4G地學空間數(shù)據(jù)特征，詳細分析地學研究對4G地學空間數(shù)據(jù)集成的需求，討論了集成結果的數(shù)據(jù)特征，討論了4G地學空間數(shù)據(jù)的預處理，重點研究物探數(shù)據(jù)與化探數(shù)據(jù)的特征提取技術。 3.應用數(shù)據(jù)倉庫技術構建4G地學空間數(shù)據(jù)集成模型 通過比較數(shù)據(jù)集成主要方法，指出應用數(shù)據(jù)倉庫技術處理4G地學空間數(shù)據(jù)集成問題是可行的與必要的。根據(jù)4G地學空間數(shù)據(jù)特點和各種數(shù)據(jù)集成的方式，以及應用數(shù)據(jù)倉庫技術進行4G地學空間數(shù)據(jù)進行數(shù)據(jù)集成的方案。根據(jù)數(shù)據(jù)倉庫技術、中間件技術在集成數(shù)據(jù)時存在的各自優(yōu)缺點，本文采用數(shù)據(jù)倉庫和中間件相結合的方法。同時介紹應用數(shù)據(jù)倉庫構建4G地學空間數(shù)據(jù)集成模型的方法流程，重點論述了地學地質數(shù)據(jù)倉庫的設計架構，并通過SQL Server數(shù)據(jù)倉庫工具進行實例驗證。 4.4G地學空間數(shù)據(jù)集成中的元數(shù)據(jù)研究 概述元數(shù)據(jù)的定義、內(nèi)容、作用、元數(shù)據(jù)研究現(xiàn)狀及標準，重點討論了數(shù)據(jù)集成中元數(shù)據(jù)的設計與元數(shù)據(jù)管理系統(tǒng)架構。 5.4G地學空間集成數(shù)據(jù)質量控制體系研究 討論了4G地學空間集成數(shù)據(jù)質量及質量控制的概念，闡述4G地學空間集成數(shù)據(jù)質量問題的來源，提出4G地學空間集成數(shù)據(jù)質量評價標準，給出質量評價流程。重點介紹4G地學空間數(shù)據(jù)集成質量評價方法，根據(jù)集成數(shù)據(jù)自身存在的規(guī)律，分析集成數(shù)據(jù)過程中的常見誤差，應用改進的層次分析法對4G地學空間數(shù)據(jù)質量進行評價，以達到數(shù)據(jù)質量控制的目的。 本文的4G地學空間數(shù)據(jù)集成關鍵技術研究為數(shù)據(jù)集成和信息共享提供嘗試性的方法，并為后續(xù)的數(shù)據(jù)挖掘和數(shù)據(jù)融合處理奠定了基礎。文中的地質空間數(shù)據(jù)集成技術、元數(shù)據(jù)和數(shù)據(jù)質量控制技術等關鍵內(nèi)容對地學G4I系統(tǒng)升級開發(fā)有所助益。同時，，對于地學數(shù)據(jù)研究中的集成問題有一定借鑒作用。
[Abstract]:With the rapid development of computer and network technology, research also adapt to the new features of.20 geographic information system innovation of computer and network technology in the development of (Geographic Information System, referred to as GIS) the introduction of earth science research, geoscience data integration and geo scientific decision-making has got great development, and achieved fruitful results, Jilin University study of G4I system emerged. This article refers to 4G geo spatial data, the geology, geography (Geology) (Geography) (Geochemistry), geochemistry, Geophysics (Geophysics) data (the initials are G, referred to as 4G) collectively. 4G involves geo spatial data has the characteristics of multiple. Comprehensive study of G4I system to learn the existence of diverse, heterogeneous and complex multidimensional semantic problems caused by factors such as spatial structure, system application to data analysis, processing, integration of integrated operation In order to construct geo data model in order to meet the needs of users. The data integration operation thus become the basic premise to study and must step. Especially the 4G geo spatial data in the data structure, influence of different space model and format conversion of the data sharing. It is difficult to achieve better research to solve the problems existing in the data integration, can greatly reduce the duplication of data collection data acquisition redundancy, reduce cost, to fully exploit the data information, improve the utilization rate of the data, data sharing, enhance the economic benefits.
This paper 4G the study of space characteristics of heterogeneous data distribution and integration of data quality control difficult reality, based on analyzing the domestic and international research status and key technology of data integration on the study of the key technical spatial data warehouse and data quality control and evaluation to research and solve, and to ensure the quality and quality of spatial data evaluation of technical improvement. The research for further data mining and information fusion for 4G geo spatial data sharing operation. The research work and achievements are summarized as follows:
Research status of data integration technology 1.
To clarify the 4G geo spatial data integration research status and development trend of the main aspects of the proposed 4G geo spatial status of the key problems of integration and research data shows that the resolution of 4G, the key technologies of the integration of spatial data.
2.4G features of spatial data
Discuss 4G source of spatial data, analyzes the 4G geo spatial data characteristics, a detailed analysis of research on spatial data integration 4G demand, discusses the characteristics of data integration results, discussed the pretreatment of 4G geo spatial data, focuses on the research of geophysical data and geochemical data feature extraction technology.
3. the application of data warehouse technology to build 4G geo spatial data integration model
By comparing the main methods of data integration, and points out that the application of data warehouse technology processing 4G geo spatial data integration is feasible and necessary. According to 4G geological spatial data characteristics and data integration, and the application of data warehouse technology 4G geo spatial data for data integration. Based on the data warehouse technology, respectively the advantages and disadvantages of existing middleware technology in data integration, data warehouse and method used in this paper. The combination of middleware processes and introduces the application of data warehouse construction of 4G geo spatial data integration model, discusses the architecture design study of the geological data warehouse, and verified by SQL Server data warehouse tools.
Research on metadata integration in spatial data 4.4G
The definition, overview of metadata content, function, research status and standard of metadata, discusses the data integration of metadata and metadata management system architecture design.
5.4G Earth Science Research on quality control system of spatial data integration
Discusses the 4G geo spatial concept of integrated data quality and quality control, the source of this 4G earth science problem space integrated data quality, put forward 4G standard integrated geo spatial data quality evaluation, process quality evaluation are given. The 4G integrated geo spatial data quality evaluation method, according to the data integration of the law of their own being, analysis of common errors in the process of data integration, evaluation of 4G geo spatial data quality by the application of AHP improved, in order to achieve the purpose of data quality control.
The 4G Earth Science Research on the key technology of spatial data integration tentative method provides for data integration and information sharing, and for subsequent data mining and data fusion of the foundation. In this paper, the geological spatial data integration technology, metadata and data quality control technology and other key content of Geoscience G4I system upgrade development benefit at the same time, has a certain reference to the integration problem science research data.

【學位授予單位】：吉林大學
【學位級別】：博士
【學位授予年份】：2014
【分類號】：P628;P208

【參考文獻】

相關期刊論文 前10條

1 畢建濤,吳洪橋,曹彥榮,黃裕霞,池天河,何建邦;資源與環(huán)境信息系統(tǒng)中模型方法元數(shù)據(jù)及其集成[J];地球信息科學;2002年02期

2 吳芳華,張躍鵬,金澄;GIS空間數(shù)據(jù)質量的評價[J];測繪學院學報;2001年01期

3 戴超凡,陳文偉,鄧蘇,陸昌輝,唐九陽;數(shù)據(jù)倉庫中元數(shù)據(jù)技術研究[J];計算機工程與應用;2001年14期

4 袁長河,吳永明;基于數(shù)據(jù)倉庫的決策支持系統(tǒng)研究與建設[J];計算機工程與應用;2001年16期

5 韓夏,李秉嚴;元數(shù)據(jù)的互操作研究[J];情報科學;2004年07期

6 楊紅梅;ArcGIS下的油田勘探資料管理方案[J];世界地質;2003年02期

7 韓超;泮曉華;李國梁;涂杰楠;;基于GIS多源信息集成的含水層富水性模糊層次分析法[J];水文地質工程地質;2012年04期

8 張兵,張榮肖,潘玉平;聯(lián)邦數(shù)據(jù)庫系統(tǒng)[J];計算機系統(tǒng)應用;1995年01期

9 楊澍,初禹,楊湘奎,婁本君;層次分析法(AHP)在三江平原地質環(huán)境質量評價中的應用[J];地質通報;2005年05期

10 王永志;高光大;楊毅恒;陳苗;;地學空間數(shù)據(jù)倉庫的構建技術[J];地質通報;2008年05期

相關博士學位論文 前1條

1 丁毅;地球物理數(shù)據(jù)共享與應用集成研究[D];中國地質大學(北京);2012年

本文編號：1524769