Mass three-dimensional digital urban model organization and management method

Abstract

The invention discloses a mass three-dimensional digital urban model organization and management method, which comprises the following steps of: framing a range according to a large-scale urban topographic map, and using each frame as a later-stage update unit for data making, storing and filing; when the data is imported to a database, performing quadtree partitioning according to the data range, and making all data block files smaller than a certain threshold value; establishing a data index structure of a spatial quadtree, wherein each node record comprises an external cube of the node; and when a three-dimensional data scene is displayed, rapidly judging whether the cube of the node meets the display demands of the current visual angle and distance in a quadtree node index mode. Therefore, the mass three-dimensional digital urban model organization and management method has the advantages of ensuring data consistency, providing convenience for data update and maintenance and improving the data loading and displaying efficiency.

Description

1. Technical field [0001] The invention relates to a method for managing three-dimensional digital models, in particular to a method for organizing and managing massive three-dimensional digital city models. 2. Technical background [0002] At present, 3D digital cities are playing an increasingly important role in urban planning, construction and management, and the construction of 3D digital cities is gradually being carried out in large and medium-sized cities. In order to truly reproduce the current situation and future of urban construction, it is necessary to collect the position and size data of urban buildings, structures and landscapes such as urban buildings, ground surfaces, roads, bridges, street lights, street signs, etc. by means of surveying and mapping. Combined with the current situation of collection, use Three-dimensional digital simulation is used to make a real model, which will generate a large amount of three-dimensional digital result data. [0003] ...

AI Technical Summary

Problems solved by technology

[0004] ①In the case of data organization and management in an independent model mode, the number of storage indexes required is too large, which will cause a large amount of data comparison and calculation during data scheduling and display, which will lead to low efficiency in data loading and scheduling display

This model does not meet the needs of large-scale digital city construction

[0005] ② Due to the irregularity of the boundary line in the street fragmentation mode, the amount of calculation increases during the spatial query analysis, especially when the historical data is updated due to the inconsistency of the boundary, which leads to the unified organization of data in different years and the update of data There are data inconsistencies

[0006] ③The traditional quadtree decomposes the quadtree based on the spatial range of the target area. This form cannot ensure the consistency of the data for the organization of the original data and the update of the later data.