A 3D Spatial Data Model Based on Rule Base

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.