地学信息管理系统研究——以全国重要成矿区带基础数据库管理系统为例

    RESEARCH ON THE GEOSCIENCES EATABASE: SETTING EXAMPLE FOR NATIONAL IMPORTANT MINING DATABASE

    • 摘要: 地学数据具有数据源丰富、数据量庞大、数据类型众多、数据结构复杂(时间、空间)、数据主题多样,即所谓的"6多"(多源、多量、多类、多元、多维、多主题)特点。此外它还包含大量的属性数据和海量的空间数据。因此地学信息管理系统(GMIS)无论在管理数据的特征上,还是数据库开发及数据管理上与一般的数据库管理系统(MIS)有很大的不同。研发地学信息管理系统存储、管理、处理、更新及维护地学数据,对管好、用好地学数据并服务于地球系统科学的研究无疑具有很重要的意义。地学数据由于自身的复杂性和多样性,研发地学信息管理系统时应该注意:①入库数据的正确性(数据完备性、逻辑一致、属性精度、空间精度、时间精度);②属性数据和空间数据一体化管理;③数据格式(MapGIS与ArcGIS)转化;④数据共享与数据安全;⑤数据查询检索(属性数据的报表分析和空间数据的空间分析)。作者通过对MapGIS与ArcGIS二次开发实现了数据检查、数据管理及数据输出等功能,保证入库数据的正确性,使用户能够方便的查询检索数据和进行数据格式的转换;通过ArcSDE实现了用关系数据库统一管理属性数据和空间数据,并实现了C/S模式的数据共享。

       

      Abstract: Geosciences Management Information System(GMIS) is apparently different from the general MIS not only on the character of data,but on the method of developing MIS and managing data,because the geoscience's data which is character with six-multi,xuch as multi-source,multi-mass,multi-kind,multi-element,multi-dimension,multi-subject,includes a great lot of attribute data and enormous spatial data.It is very significant for geoscience's system to manage and make full use of geoscience's data,with esearching and developing GMIS to store,manage,deal with,update and maintain geoscience's data.We should pay attention to as follow problems.①the accuracy of these data(the integrity,the logic consistency,the attribute accuracy,the located accuracies and the time accuracy);②management both attribute data and spatial data in the same system;③translation data between MapGIS and ArcGIS;④sharing data and the security of data;⑤searching and anglicizing data both attribute data and spatial data.The authors guarantee the accuracy of inputted data and make all users conveniently search and analysis data and translate data between MapGIS and ArcGIS,via hypo-developing the checking data module and managing data module based on MapGIS and ArcGIS.Using AecSDE,we also realize the data sharing based on client/server and manage both attribute data and spatial data in the same system.

       

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