基于gis煤矿监测系统空间数据库的研究(84页).rar
基于gis煤矿监测系统空间数据库的研究(84页),摘要本文以gis技术为基础，对煤矿监测系统空间数据库的应用进行了研究。空间数据库的飞速发展突破了传统的数据库基于文字、数字信息应用的限制，可用于存储和分析大量具有复杂结构的信息。煤矿监测系统的数据具有海量和实时的特点，因此，本文对煤矿监测数据的存储模型及索引方法进行了优化研究，实现对煤矿监测数据的快速存取。这将利于对煤...
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摘要
本文以GIS技术为基础，对煤矿监测系统空间数据库的应用进行了研究。
空间数据库的飞速发展突破了传统的数据库基于文字、数字信息应用的限制，可
用于存储和分析大量具有复杂结构的信息。煤矿监测系统的数据具有海量和实时
的特点，因此，本文对煤矿监测数据的存储模型及索引方法进行了优化研究，实
现对煤矿监测数据的快速存取。这将利于对煤矿监测信息进行分析预测，为煤矿
决策分析提供技术支持。本文采用Oracle spatial来实现对煤矿监测数据的存储，
并利用Visual Basic 6.0及MAPX完成了煤矿监测系统主要功能模块的开发。
本文详细介绍了该空间数据库的设计过程，全文共分为以下几个部分：
第一，介绍了GIS的概念及国内外的研究现状，并分析了空间数据库在煤
矿监测系统上的应用意义。
第二，针对空间数据库建设面临的问题，详细分析了空间数据库建设过程中
所需要解决的关键技术。
第三，阐述了空间数据库平台的构建，并分析了空间数据的获取方法。
第四，论述了空间数据库的建库原则，需求分析，详细分析了空间数据库的
建立过程，包括概念模型设计、逻辑模型设计和物理模型设计。系统采用Oracle
建立了空间数据库，并进行了数据库中表结构的设计、数据通信部分的设计以及
空间数据索引的设计。
第五，阐述了本系统的软件设计与实现。
关键词：GIS；Oracle；煤矿监测系统；空间数据库
II
目录
摘要·····································································································
Abstract·····························································································
第1章绪论························································································
1.1GIS的概念及其发展趋势························································
1.1.1GIS的概念········································································
1.1.2GIS的发展趋势·································································
1.2基于GIS空间数据库的研究现状··········································
1.2.1国外的研究现状·······························································
1.2.2国内的研究现状·······························································
1.3本课题的研究意义··································································
1.4本课题的主要研究内容··························································
1.5本章小结··················································································
第2章空间数据库建设的关键技术················································
2.1空间数据库的概述··································································
2.1.1空间数据库的基本概念···················································
2.1.2空间数据及其类型···························································
2.2海量空间数据的集成管理······················································
2.3栅格－矢量一体化技术··························································
2.4多源空间数据无缝集成··························································
2.5空间数据库引擎······································································
2.5.1空间数据库引擎的基本功能···········································
2.5.2空间数据库引擎的类型···················································
2.6空间数据的多重表达······························································
2.7本章小结··················································································
第3章空间数据库环境平台的构建················································
3.1系统运行的软..
本文以GIS技术为基础，对煤矿监测系统空间数据库的应用进行了研究。
空间数据库的飞速发展突破了传统的数据库基于文字、数字信息应用的限制，可
用于存储和分析大量具有复杂结构的信息。煤矿监测系统的数据具有海量和实时
的特点，因此，本文对煤矿监测数据的存储模型及索引方法进行了优化研究，实
现对煤矿监测数据的快速存取。这将利于对煤矿监测信息进行分析预测，为煤矿
决策分析提供技术支持。本文采用Oracle spatial来实现对煤矿监测数据的存储，
并利用Visual Basic 6.0及MAPX完成了煤矿监测系统主要功能模块的开发。
本文详细介绍了该空间数据库的设计过程，全文共分为以下几个部分：
第一，介绍了GIS的概念及国内外的研究现状，并分析了空间数据库在煤
矿监测系统上的应用意义。
第二，针对空间数据库建设面临的问题，详细分析了空间数据库建设过程中
所需要解决的关键技术。
第三，阐述了空间数据库平台的构建，并分析了空间数据的获取方法。
第四，论述了空间数据库的建库原则，需求分析，详细分析了空间数据库的
建立过程，包括概念模型设计、逻辑模型设计和物理模型设计。系统采用Oracle
建立了空间数据库，并进行了数据库中表结构的设计、数据通信部分的设计以及
空间数据索引的设计。
第五，阐述了本系统的软件设计与实现。
关键词：GIS；Oracle；煤矿监测系统；空间数据库
II
目录
摘要·····································································································
Abstract·····························································································
第1章绪论························································································
1.1GIS的概念及其发展趋势························································
1.1.1GIS的概念········································································
1.1.2GIS的发展趋势·································································
1.2基于GIS空间数据库的研究现状··········································
1.2.1国外的研究现状·······························································
1.2.2国内的研究现状·······························································
1.3本课题的研究意义··································································
1.4本课题的主要研究内容··························································
1.5本章小结··················································································
第2章空间数据库建设的关键技术················································
2.1空间数据库的概述··································································
2.1.1空间数据库的基本概念···················································
2.1.2空间数据及其类型···························································
2.2海量空间数据的集成管理······················································
2.3栅格－矢量一体化技术··························································
2.4多源空间数据无缝集成··························································
2.5空间数据库引擎······································································
2.5.1空间数据库引擎的基本功能···········································
2.5.2空间数据库引擎的类型···················································
2.6空间数据的多重表达······························································
2.7本章小结··················································································
第3章空间数据库环境平台的构建················································
3.1系统运行的软..
