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Wuhan, China

Zheng K.,Wuhan University | Yun X.-L.,Wuhan University | Liu X.-G.,Wuhan University | Huang F.,Wuhan Zondycyber Co.
Diqiu Kexue - Zhongguo Dizhi Daxue Xuebao/Earth Science - Journal of China University of Geosciences | Year: 2010

Three-dimensional objects are in various forms, and opinions differ as to the spatial relationships between objects. It is even more difficult to reach a consensus on the relationship between space and non-spatial three-dimensional data model. There are three kinds of three dimensional space-oriented, namely, entity type, relationship-oriented and mixed-type, but the traditional models have drawbacks, such as topology difficulties for operation, incomplete object semantics description, lack of relationship expression. Based on a rule-based library, we design a new three-dimensional data model aimed at retaining the advantages and overcoming the disadvantages of the traditional models. The new model takes into account the topology of three-dimensional vector-oriented data model entities, introducing the concept of rules, unifying the relational and object data model. building a rule base for space objects and structures with a unified, complete expression and management. The three-dimensional spatial data model has been applied in a number of cities both in geology and mining and it proves to be successful. The success of applications shows that the model is featured by unities of expression, with a custom, scalable spatial object-relational skills between the space object and the object of its structure, adapting to the complex application requirements, and it has good application prospects. Source


Ye Y.-Q.,Wuhan University | Wan B.,Wuhan University | Chen B.,Wuhan Zondycyber Co.
Diqiu Kexue - Zhongguo Dizhi Daxue Xuebao/Earth Science - Journal of China University of Geosciences | Year: 2010

Spatial objects' matching is the first step and also the key step of incremental updating for spatial database. In this paper, a spatial objects matching algorithm for finding the changed information is studied. On the basis of the research on the uncertainty problem existing in spatial data, this paper suggests fuzzy theory is introduced to spatial objects' matching algorithm. The paper focuses on how to solve spatial objects' matching problem by using fuzzy methods. And taking the region entities as examples for studying matching process, the author proposes the region objects' matching algorithm considering associated area similarities. This algorithm firstly uses associated area similarity's measuring genes to confirm the fuzzy topological relationship matrix, then quantifies the degree of membership matrix, and finally determines the relationship between fuzzy topological classifications. By using frame index, associated area similarity's measuring genes, the algorithm optimizes and simplifies computational complexity, and improves the algorithm efficiency as well. Source


Ye Y.,China University of Geosciences | Chen B.,Wuhan Zondycyber Co. | Wan B.,China University of Geosciences | Zhou S.,China University of Geosciences | Zuo Z.,China University of Geosciences
Communications in Computer and Information Science | Year: 2013

The update quality of spatial database determines the data's value. Combined with the characteristics of the spatial database updating, we studied incremental updates modeling of the spatial database and supported a multimode update model, which referred to as the MMS-IU. The model has two features: (1) it contains two different update ways to enhance the applicability of the model; (2) we combine time and events with the version management mechanism, which let the model becomes an event-based and object-oriented update model. The article elaborated the basic principle of an updated way supported by the MMS-IU model - that is based-edit update way. Aimed at the obtainment for changes information, incremental information fusion, concurrency control such key issues which existed in updating process, we proposed a reasonable solution. © Springer-Verlag Berlin Heidelberg 2013. Source


Hu M.-S.,Wuhan University | Fang F.,Wuhan University | Huang S.-H.,Wuhan Zondycyber Co.
Diqiu Kexue - Zhongguo Dizhi Daxue Xuebao/Earth Science - Journal of China University of Geosciences | Year: 2010

In order to solve the data organization problem and improve the query efficiency of seamless integration of spatial data and its incremental update in distributed and heterogeneous environment, some features of geo-database mechanism can be used, such as storage in multi-components and incremental storage. Through corresponding seam data to the deleted component in version mechanism, and corresponding seamless data to the added component in version mechanism, and corresponding seamless consistency maintenance process to the data version update process, it establishes a new mechanism called spatial data seamless integration version management mechanism. By this method, seamless integration issue is transformed into initial seamless version establishment issue and version data seamless consistency maintenance issue, and seamless spatial query and dynamic splicing process is transformed into the distributed version query process, which reduces the computational complexity and enhances system efficiency; with the seamless version mechanism, natural storage support for the incremental update is also provided. Source


Ni P.-Z.,Wuhan University | Ni P.-Z.,Wuhan Zondycyber Co. | Liu X.-G.,Wuhan University | Liu X.-G.,Wuhan Zondycyber Co.
Diqiu Kexue - Zhongguo Dizhi Daxue Xuebao/Earth Science - Journal of China University of Geosciences | Year: 2010

To make up the deficiencies of existing digital ore deposit modeling methods and its applications in mineral survey data managements, a method is advanced for ore deposit modeling in geological mineral survey data management. The method is featured with the following improvement: (1) Original mineral survey data standard informationization; (2) Automatic engineering orebody delineation by multi-confine and comlpex industry index; (3) Orebody joint and extrapolate mode in profile map based on semantic identification; (4) Orebody surface modeling by orebody wireframe model contours in profile map; (5) Orebody spatial attribute modeling by TIN+Octree data structure and geostatistics, and its applications in mineral reserve estimation. So that it can enhance research precision on geological mineral survey and provide the credible orebody model for mining design. Source

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