Research on Geological Survey Data Management and Automatic Mapping Technology
The data management of a large geological survey is not an easy task. To efficiently store and manage the huge datasets, a database of geological information on the basis of Microsoft Access has been created. By using the database of geological information, we can make easily and scientifically stor...
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Series: | Scientific Programming |
Online Access: | http://dx.doi.org/10.1155/2017/3618139 |
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doaj-ed9415c690794c21b479a8b8103e4fab2021-07-02T17:50:27ZengHindawi LimitedScientific Programming1058-92441875-919X2017-01-01201710.1155/2017/36181393618139Research on Geological Survey Data Management and Automatic Mapping TechnologyDong Huang0Y. L. Chen1Jianping Qiao2Key Laboratory of Mountain Hazards and Surface Process, Institute of Mountain Hazards and Environment, Chinese Academy of Science, Chengdu 610041, ChinaDepartment of Civil Engineering, The University of Tokyo, Tokyo 113-8656, JapanKey Laboratory of Mountain Hazards and Surface Process, Institute of Mountain Hazards and Environment, Chinese Academy of Science, Chengdu 610041, ChinaThe data management of a large geological survey is not an easy task. To efficiently store and manage the huge datasets, a database of geological information on the basis of Microsoft Access has been created. By using the database of geological information, we can make easily and scientifically store and manage the large geological information. The geological maps—borehole diagrams, the rose diagrams for the joint trends, and joint isointensity diagrams—are traditionally drawn by hand, which is not efficient way; next, it is not easily possible to modify. Therefore, to solve those problems, the automatic mapping method and associated interfaces have been developed by using VS2010 and geological information database; these developments are presented in this article. This article describes the theoretical basis of the new method in detail and provides a case study of practical engineering to demonstrate its application.http://dx.doi.org/10.1155/2017/3618139 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Dong Huang Y. L. Chen Jianping Qiao |
spellingShingle |
Dong Huang Y. L. Chen Jianping Qiao Research on Geological Survey Data Management and Automatic Mapping Technology Scientific Programming |
author_facet |
Dong Huang Y. L. Chen Jianping Qiao |
author_sort |
Dong Huang |
title |
Research on Geological Survey Data Management and Automatic Mapping Technology |
title_short |
Research on Geological Survey Data Management and Automatic Mapping Technology |
title_full |
Research on Geological Survey Data Management and Automatic Mapping Technology |
title_fullStr |
Research on Geological Survey Data Management and Automatic Mapping Technology |
title_full_unstemmed |
Research on Geological Survey Data Management and Automatic Mapping Technology |
title_sort |
research on geological survey data management and automatic mapping technology |
publisher |
Hindawi Limited |
series |
Scientific Programming |
issn |
1058-9244 1875-919X |
publishDate |
2017-01-01 |
description |
The data management of a large geological survey is not an easy task. To efficiently store and manage the huge datasets, a database of geological information on the basis of Microsoft Access has been created. By using the database of geological information, we can make easily and scientifically store and manage the large geological information. The geological maps—borehole diagrams, the rose diagrams for the joint trends, and joint isointensity diagrams—are traditionally drawn by hand, which is not efficient way; next, it is not easily possible to modify. Therefore, to solve those problems, the automatic mapping method and associated interfaces have been developed by using VS2010 and geological information database; these developments are presented in this article. This article describes the theoretical basis of the new method in detail and provides a case study of practical engineering to demonstrate its application. |
url |
http://dx.doi.org/10.1155/2017/3618139 |
work_keys_str_mv |
AT donghuang researchongeologicalsurveydatamanagementandautomaticmappingtechnology AT ylchen researchongeologicalsurveydatamanagementandautomaticmappingtechnology AT jianpingqiao researchongeologicalsurveydatamanagementandautomaticmappingtechnology |
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1721325174779805696 |