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Method for commercial scale vector map data gradual transmission and dynamic reconstruction

A vector map data, large-scale technology, applied in the field of spatial information

Inactive Publication Date: 2008-08-20
BEIJING NORMAL UNIVERSITY
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Problems solved by technology

The current map synthesis algorithm is difficult to meet the real-time and fast transmission and display of large-scale vector map data, especially in the case of concurrent access by multiple users, the existing real-time map synthesis algorithm will put great pressure on the server

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  • Method for commercial scale vector map data gradual transmission and dynamic reconstruction
  • Method for commercial scale vector map data gradual transmission and dynamic reconstruction
  • Method for commercial scale vector map data gradual transmission and dynamic reconstruction

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Embodiment Construction

[0088] The present invention is a method for progressive transmission and dynamic reconstruction of large-scale vector map data, the process steps of which are as follows:

[0089] (1) Fast generation and reconstruction algorithm of multi-scale vector map data

[0090] A multi-resolution curve tree is proposed to quickly construct a feature-based multi-scale vector map data model. The multi-resolution curve tree is a multi-fork tree, which consists of three types of nodes: root node, hierarchical node and data node. structured as figure 1 shown. Where Level_i represents the vector map data at the resolution of Leveli. pSibling points to the next curve segment at the same resolution. pChild and lChildCount respectively record the child nodes and their numbers of the current node in the next resolution level, which are used to establish the vertical index of the multi-resolution curve tree.

[0091] (1) When the client computer requests the data at the resolution of the i-t...

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Abstract

The present invention provides a progressive transmission of large scale vector map data and reconstructed method, including following steps: (A)multi-scale vector map data real-time dynamic generation and reconstruction algorithm:including following steps (1) delecting the peak, (2)quickly generating vector map data under the appointed scale; (3) building incremental data; (4) adjusting the peak; (5) inserting in the peak; (6) combining the splitting-up method; (7) rebuilding the vector map data; (B) system structure implement: including the following steps: (1) client, processing interactive with the application server, acquiring space data, real-time dynamic generating incremental data and processing data rebuild; (2) an application server, searching relative data in engine by the multi-scale space data and processing deserializing, real-time building multi-scale space vector data model. The invention provides a multi-scale data model fit for big data vector map progressive transmission, realizing the real-time progressive transmission of the large scale vector map data and the quickly visual function.

Description

1. Technical field [0001] The invention provides a method for progressive transmission and dynamic reconstruction of large-scale vector map data, which belongs to the technical field of spatial information. 2. Background technology [0002] The rapid development of spatial information technology has made it possible to quickly acquire high-resolution and high-precision spatial data, but it has caused a series of problems to be solved, such as: real-time and rapid transmission and display of large-scale vector map data, etc. The current map synthesis algorithm is difficult to meet the real-time and fast transmission and display of large-scale vector map data, especially in the case of concurrent access by multiple users, the existing real-time map synthesis algorithm will put great pressure on the server. There is an urgent need to design a multi-scale spatial data model to save map synthesis results. When customers access multi-scale data, they can directly retrieve the corr...

Claims

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Application Information

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IPC IPC(8): G06T11/00H04L29/06
Inventor 张立强
Owner BEIJING NORMAL UNIVERSITY
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