地球科学进展 ›› 2010, Vol. 25 ›› Issue (9): 990 -996. doi: 10.11867/j.issn.1001-8166.2010.09.0990

新学科·新技术·新发现 上一篇    下一篇

多维GIS矿产评价数据管理系统设计和实现
胡庆武,林春峰,余飞,曾力   
  1. 武汉大学遥感信息工程学院,湖北武汉 430079
  • 收稿日期:2010-01-10 修回日期:2010-05-19 出版日期:2010-09-10
  • 通讯作者: 胡庆武 E-mail:qwhu@263.net
  • 基金资助:

    国家高技术研究发展计划项目“高精度轻小型航空遥感系统典型示范应用”(编号:2008AA121305);国家自然科学基金项目“高光谱遥感纹理分形和分形纹理研究”(编号:40901164)资助.

Design and Implementation of Multi-dimensional GIS-Based Mineral Resource Evaluation Data Management System

Hu Qingwu,Lin Chunfeng,Yu Fei,Zeng Li   

  1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
  • Received:2010-01-10 Revised:2010-05-19 Online:2010-09-10 Published:2010-09-10

矿产资源评价需通过各种物探、化探、航空磁法、遥感、地质和实地调查资料综合分析以确定钻井孔位。针对多源、多时相、多尺度矿产资源勘探资料一体化管理和可视化分析,提出了一种基于分布式多维GIS模型的矿产资源评价数据管理方法。首先,分析了矿产资源预测评价数据资料特征,提出基于多维GIS模型的矿产资源评价数据管理模型;其次,提出了多源矿产资源评价数据处理策略,设计了一种全球瓦片金字塔模型的栅格和地形数据处理方法;再次,设计了分布式多维GIS矿产资源评价数据管理系统体系结构和功能模块,提出了双缓存性能优化方案;最后,开发实现了一个典型的矿产资源评价数据管理系统,实现了多达40种二维、三维数据、文档、多媒体等矿产资源评价数据一体化管理和可视化分析,可用于分布式矿产资源勘探评价的全球协同办公。

Mineral resource prediction and evaluation need comprehensive analysis with a variety of data such as geophysical data, geochemical data, aeromagnetic method data, remote sensing images, geological information and field surveying data to determine the drilling holes for further investigation. Geographic information system can be a platform to manage all kinds of mineral resource data for mineral prediction and evaluation. In this paper, a distributed multi-dimensional GIS data management model for multi-source, multi-temporal and multi-scale mineral resource exploration data analysis and visualization is proposed. Firstly, features of mineral resource data are analyzed. A multi-dimensional GIS model with unique geo-reference  is proposed for mineral resources data management. Secondly, a data processing strategy for multi-source mineral resources evaluation data is presented for different types of data. A global tile-pyramid model of raster image data and terrain data is designed to achieve huge volume raster data storage and index. Thirdly, the architecture of distributed multi-dimensional GIS-based mineral resource evaluation data management system is designed. A performance improvement plan based on server and client double cache is proposed. Finally, a typical mineral resource evaluation data management with the proposed method is developed, which can achieve up to 40 types  of  data management and visualization such as two dimensional data, three dimensional data, documents, multimedia and other mineral resources which. It can be used for mineral resource exploration and evaluation of a distributed global collaboration office.

中图分类号: 

[1] Zhao Pengda. Three-component "quantitative resource prediction and assessments: Theory and practice of digital mineral prospecting[J].Earth Science—Journal of China University of Geosciences, 2002,27(5):482-489.[赵鹏大. “三联式”资源定量预测与评价——数字找矿理论与实践探讨评论[J].地球科学——中国地质大学学报,2002,27(5):482-489.]
[2] Yan Bokun,Wang Runsheng, Gan Fuping, et al. Progress in minerals information extraction using thermal remote sensing[J].Advances  in Earth Science,2005,20(10):1 116-1 126.[闫柏琨,王润生,甘甫平,等.热红外遥感岩矿信息提取研究进展[J].地球科学进展,2005,20(10):1 116-1 126.]
[3] Zhu Huaping, Zhang Dequan. Research advances of geochemical survey methods and technologies of regional geochemical abnormities[J].Geology and Prospecting,2003,39(3):35-38.[朱华平,张德全. 区域化探异常的地球化学勘查评价方法技术进展综述[J].地质与勘探,2003,39(3):35-38.]
[4] Zhang Lei. Research situation of mineral resources prediction and prospect for development direction[J].Modern Mining, 2009,6:9-11.[张磊.矿产资源预测研究现状及发展方向展望[J].现代矿业,2009,6:9-11.]
[5] Xiao Keyan, Ding Jianhua, Lou Debo. A tentative discussion on theory of minerogenetic series and mineral resource assessment[J].Mineral Deposits,2009,28(3):357-365.[肖克炎,丁建华,娄德波.试论成矿系列与矿产资源评价[J].矿床地质,2009,28(3):357-365.]
[6] Rankin D W, Tucker R D. The Piermont allochthon revisited and redefined at its type locality: Discussion[J].Geological Society of America Bulletin,2007, 119:500-502.
[7] Lesley Wyborn. Using GIS for mineral potential evaluation in areas with few know mineral occurrences[C]//The second Forum on GIS in the Geosciences, AGSO.Canberra: Australian Geological Survey Organisation,1995:199-211.
[8] Margaretha Scott. GIS, Modern mineral potential modeling and quantitative resource assessment: Implications for the geological survey of Queensland[C]//Canberra: Fourth National Forum on Information Management and GIS in ts. AIG Journal Applied Geo-scientific Research and Practice in Australia,1999:1-16.
[9] LyIe A Burgess. Recent applications and research into mineral prospective mapping using GIS[C]//Proceedings of Third National Forum on GIS in the Geosciences, AGSO.Canberra: Australian Geological Survey Organisation, 1997:121-129.
[10] Jago J B, Gum J C, Burtt A C, et al. Stratigraphy of the kanmantoo group: A critical element of the Adelaide fold belt and the Palaeo-Pacific plate margin, eastern Gondwana[J].Australian Journal of Earth Sciences,2003, 50:343-363.
[11] Hu Guangdao. Server issues in design of geological data warehouse[J].Earth Science—Journal of China University of Geosciences,1999,24(5):522-524.[胡光道.地质数据仓库设计中的几个问题[J].地球科学——中国地质大学学报,1999,24(5):522-524.]
[12] Li Zhenhua, Hu Guangdao, Wang Shuhua. Preliminary design and development of a geological data warehouse[J].Geology and Proespecting,2002,38(5):67-70.[李振华,胡光道,王淑华.一个地学数据仓库的初步设计与实现[J].地质与勘探,2002,38(5):67-70.]
[13] Liu Xing, Hu Guangdao. Multi-Source geo-data fusion and its application in metallogenic prognosis[J].Acta Geoscientia Sinica,2003,24(5):463-468.[刘星,胡光道.多源数据融合技术在成矿预测中的应用[J].地球学报,2003,24(5):463-468.]
[14] Zhao Pengda, Chi Shundu. A thorough investigation of geo anomaly: A basis of metallogenic progress[J].Geological Journal of China Universities,1996,2(4):361-373.[赵鹏大,池顺都.查明地质异常:成矿预测的基础[J].高校地质学报,1996,2(4):361-373.]
[15] Chi Shundu, Zhao Pengda. Research way of time spectrum of mineral deposits with GIS[J]. Earth Science—Journal of China University of Geosciences,2001,26(2):180-184.[池顺都,赵鹏大.研究矿床时间谱系的GIS途径[J]. 地球科学——中国地质大学学报,2001,26(2):180-184.]
[16] Wu Huixin, Xie Danrui, Xue Huifeng. Layered representation and visualization technique for 3D GIS model[J].Application Research of Computers,2006,23(7):191-192.[吴慧欣,解丹蕊,薛惠锋.三维GIS模型的分层表示及可视化技术研究[J].计算机应用研究,2006,23(7):191-192.]
[17] Chen Jun, Li Zhilin, Jiang Jie, et al.Dynamic and multi-dimensional spatial data modeling:Models and methods[J].Geomatics and Information Science of Wuhan University,2004,29(10):858-862.[陈军,李志林,蒋捷,等.多维动态GIS空间数据模型与方法的研究[J].武汉大学学报:信息科学版,2004,29(10):858-862.]

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