Cloud platform data organization and retrieval method for 3D (three-dimensional) urban building data

Abstract

The invention discloses a cloud platform data organization and retrieval method for 3D (three-dimensional) urban building data. The method comprises the following steps: (1) establishing four layers of cloud platform architectures for the 3D urban building data, namely a cloud storage layer, a cloud platform service layer, an application service layer and an application layer; (2) establishing a storage structure for 3D building model data and attribute data and an inverted index table by HDFS (Hadoop distributed file system) file management and HBase database management; (3) establishing a KD index tree of a MapReduce framework-based complete binary tree; (4) giving a position retrieval-based quick search method for the building model data and the attribute data. According to the method, the 3D urban building information of a cloud platform is organized by using the four layers of architectures, the inverted index table and a building model data and attribute data distributed type storage organization are established, and the KD index tree of the MapReduce framework-based complete binary tree is established. The method has data expandability and service expandability, and is high in 3D building data storage efficiency; distributed type parallel search is realized, multi-user concurrent access can be effectively processed, and the retrieval response speed is more ideal.

Description

technical field [0001] The invention relates to data organization and retrieval technology, in particular to a cloud platform data organization and retrieval method for urban 3D architectural data. Background technique [0002] With the rapid development of cloud computing technology, the computing architecture model of public cloud, private cloud and hybrid cloud for various applications has become one of the research hotspots that people explore. [0003] Urban building informatization is the basis for building digital cities and smart cities. The data types of urban spatial information are complex, including 3D models, various attribute data, images, etc. At present, the existing B+ tree and KD tree retrieval trees are stored in the cloud platform. Spatial information retrieval has certain limitations. Therefore, some new methods need to be established for efficient distributed organization and fast retrieval of 3D building data in cloud platforms. SUMMARY OF THE INVEN...

AI Technical Summary

Problems solved by technology

[0003] Urban building informatization is the basis for building digital cities and smart cities. The data types of urban spatial information are complex, including 3D models, various a

Images