| 基于关系数据库的海量地学真三维体数据组织 |
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| 引用本文： | 戴婉薇,潘懋,李军,吕广宪. 基于关系数据库的海量地学真三维体数据组织[J]. 计算机工程与应用, 2008, 44(14): 145-148. DOI: 10.3778/j.issn.1002-8331.2008.14.040 |
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| 作者姓名： | 戴婉薇 潘懋 李军 吕广宪 |
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| 作者单位： | 北京大学 地球与空间科学学院,北京 100871 |
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| 基金项目： | 北京市多参数立体地质调查项目 |
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| 摘 要： | 在地学领域，体数据的海量性已经成为制约真三维GIS发展的瓶颈之一。由于受到目前数据库访问技术的限制，传统海量体数据的组织还主要依靠文件系统，从而导致安全性和共享性差、并发访问异常、数据冗余以及无法统一管理等诸多问题。针对以上缺陷，提出一种类八叉树空间划分思想，在此基础之上，给出了基于关系数据库的海量地学真三维体数据组织方法，并实现了相关的空间查找、多分辨率和海量数据内外存交换策略。实践证明，该方法在性能上可以满足海量数据的组织及三维可视化等实际应用的需要。鉴于关系数据库是目前实用性、普及性最高的数据库，因此该方法具有较高的推广性和实用价值。
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| 关 键 词： | 真三维GIS 关系数据库 海量体数据 八叉树 |
| 文章编号： | 1002-8331(2008)14-0145-04 |
| 收稿时间： | 2007-11-07 |
| 修稿时间： | 2007-11-07 |
Massive volume data organization in geo-science based on relational database |
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| DAI Wan-wei,PAN Mao,LI Jun,LV Guang-xian. Massive volume data organization in geo-science based on relational database[J]. Computer Engineering and Applications, 2008, 44(14): 145-148. DOI: 10.3778/j.issn.1002-8331.2008.14.040 |
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| Authors: | DAI Wan-wei PAN Mao LI Jun LV Guang-xian |
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| Affiliation: | School of Earth and Space Sciences,Peking University,Beijing 100871,China |
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| Abstract: | In geo-science field,the massive volume data has become a bottleneck problem for the development of true 3D GIS.Because of the low performance of database access techniques,the traditional massive volume data organization relies heavily on file system.But this method has great limitation,such as the insecurity and poor share of data,concurrent access abnormality,data redundancy,and lack of managment.To solve these problems,a new space division method,the homologous octree,is proposed in this paper.Furthermore,a massive volume data organization method based on relational database with its strategy for space search,multi-resolution,data swapping between main memory and external storage is also demonstrated.The practice shows that the performance of this method will meet the need of the actual applied requirements,such as 3D visualization.Since the relational database is the most practical and popular kind of database,this method has a better practical value and application prospect. |
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| Keywords: | true 3D GIS relational database massive volume data octree |
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