Space grid universal construction method driven by global discrete point cloud system

Abstract

The invention discloses a space grid universal construction method driven by a global discrete point cloud system. The space grid universal construction method comprises: 1, generating a global discrete point cloud model based on grid points of a spherical four-point ternary network; 2, encoding the global discrete point cloud; 3, converting the codes and the geographic coordinates; 4, creating a proximity search rule of the global discrete point cloud system; and 5, generating a global discrete grid integrated code. According to the method, the grid points are taken as the core, a global discrete point cloud system is introduced, a universal generation method of the global discrete grid is constructed, and a new thought is provided for an interoperation mechanism of the global discrete grid.

Description

technical field [0001] The invention relates to an earth system space frame and a coordinate system, in particular to a general construction method of a space grid driven by a global discrete point cloud system. Background technique [0002] The earth system is a multi-circle manifold space physically, and a nonlinear complex giant system logically, and the generalized geographic space includes the entire gravitational field. Since ancient times, people's cognition and description of geographic space have been carried out by projection on the Euclidean plane, and Euclidean geometry has become a powerful tool for people to recognize space. It cannot be denied that projection greatly simplifies spatial calculation and has achieved great success in traditional geographic science and engineering. Maps have become a milestone of human civilization! However, projection is only suitable for small-scale space. From a global and large-scale perspective, projection changes the manifo...

AI Technical Summary

Problems solved by technology

It cannot be denied that projection greatly simplifies spatial calculation and has achieved great success in traditional geographic science and engineering. Maps have become a milestone of human civilization! However, projection is only suitable for small-scale space. From a global and large-scale perspective, projection changes the manifold nature of geographic space and brings three major problems to geospatial information: data cracks, inaccurate spatial analysis, and data integration and sharing. Difficulties; especially spatio-temporal big data has the characteristics of heterogeneous, large volume, multi-scale, high-dimensional, and spatio-temporal composite. The traditional map model can no longer meet the management, modeling and application requirements of geographic spatio-temporal big data

The construction of a variety of grid models makes the development of global discrete grids more possible, but the model structures are different, and the differences in grid subdivision form, address code design and indexing mechanism in the process of model construction make the network There are many difficulties in the connection and intercommunication between grids

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