Organizational management method for multi-version unstructured model

Abstract

The invention relates to an organizational management method for a multi-version unstructured model. The method comprises the steps that (1), the unstructured model is preprocessed; (2), whether partition is carried out according to partitioned data is judged; (3), if partition is carried out according to the partitioned data, partition is carried out according to the partitioned data, and if not, partition is carried out according to a grid; (4), an LOD data structure is constructed; (5), geocoding is carried out on keywords, and grid indexing and hybrid indexing of a quadtree are carried out; (6), a feature image is generated; (7), the unstructured model is classified; (8), a multidate data set and a multiscale data set are constructed; (9), data of the unstructured model are updated and managed; (10), multi-version management is carried out on the unstructured model. Compared with the prior art, the unstructured model is rapidly preprocessed, a continuous LOD data structural model is constructed, through organizational management of the multidate data set and the multiscale data set, the unstructured model is rapidly called, a multi-version data set is constructed through a multi-version data set construction dissemination method, the distribution type version management method is adopted to manage data of various versions, and the actual needs of different users are met.

Description

technical field [0001] The invention relates to a database-based model organization management method, in particular to a multi-version unstructured model organization management method. Background technique [0002] Unstructured data refers to data that cannot be directly represented by two-dimensional logical tables of the database, including office documents in all formats, text, pictures, XML, HTML, various reports, images and video information, etc. As a part of unstructured data, the unstructured model is a model obtained by oblique photogrammetry technology, laser measurement technology, etc., and expresses the three-dimensional spatial information of various objects on the earth's surface through discrete data points. High, fast acquisition speed, large amount of data, strong real-time performance, easy processing, and all-digital features are of great significance to the establishment and expression of geographical environments and scenes. [0003] At present, in t...

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Problems solved by technology

[0003] At present, in the research on the organization and management of spatial data in the field of geosciences, most scholars pay attention to the research of GIS, digital city and digital earth, and have conducted in-depth discussions on the content of DEM, DSM and 3D city model with large data volume, and developed the A series of methods such as organizational management and spatial indexing suitable for three-dimensional data in the field of geosciences. However, if these methods are directly applied to the organizational management of unstructured models, the efficiency will be low, the model update will be more complicated, and it will not be possible to update Backtracking the previous data, the release of the model is not flexible, and the efficient call and visualization of the unstructured model cannot be achieved. Therefore, it is necessary to divide the content of the model with a large amount of data into layers to avoid bloated data that is not conducive to maintenance.

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