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Large-scale space vector data management method based on content access network

A content access and space vector technology, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as insufficient scalability, and achieve the effect of improving load balance and enhancing scalability

Inactive Publication Date: 2010-12-29
NAT UNIV OF DEFENSE TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, it requires professionals to use complex software technology and hardware equipment to proceed smoothly, so the scalability is not strong enough
How to reduce the complexity of the space vector data management expansion model has become an urgent problem to be solved in the management of large-scale space vector data

Method used

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  • Large-scale space vector data management method based on content access network
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  • Large-scale space vector data management method based on content access network

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Embodiment Construction

[0049] Embodiments of the present invention will be described more fully below with reference to the accompanying drawings. Without loss of generality, for the convenience of expression, it is assumed that spatial objects are described in a two-dimensional space.

[0050] figure 1 It is a schematic flow chart of the CAN-based large-scale space vector data storage method provided by the present invention, including three steps: step 11 constructing CAN; step 12 establishing spatial object index; step 13 storing the spatial object in CAN. Combine below figure 2 , image 3 and Figure 4 Each step is described in detail.

[0051] figure 2 is according to an embodiment of the present invention figure 1 Step 11 in the construction of a detailed flowchart of CAN, the process is:

[0052] Step 21. Map the background coordinate space R of the space object to the virtual coordinate space of CAN, that is, set the CAN virtual coordinate space as R. Among them, R=((x min ,y min )...

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Abstract

The invention provides a method for managing large-scale space vector data based on a content access network, and high expansibility of a management mode of the space vector data is obtained by adopting a storage method based on CAN. The effect of rapid retrieval of the space vector data is achieved by adopting a retrieval method based on the CAN and the spatial range of a quadtree. The load balancing degree in the entire space vector data management process is further promoted by adopting the load balancing algorithm, and the expansibility of large-scale space vector data management behaviors based on CAN is enhanced.

Description

technical field [0001] The invention relates to a space vector data management method, in particular to a large-scale space vector data storage and retrieval method based on a Content-Addressable Network (CAN for short). Background technique [0002] Spatial data is one of the supporting elements of typical geographic information system applications such as location information services, intelligent transportation, real estate information services, logistics management, and urban infrastructure management in modern geographic information systems. Research on spatial data management methods is the key to control and adjust modern geographic information The basic requirements for the dynamic balance and sustainable development of material flow, energy flow and human flow in space. [0003] Spatial data model is a concept that describes spatial entities and their interrelationships in the real world, and is a basic method for studying the organization of spatial data and design...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
Inventor 景宁左怀玉陈荦吴秋云李军唐宇钟志农熊伟王钧薛丹程果
Owner NAT UNIV OF DEFENSE TECH