Accelerating method for two-dimensional map library

Abstract

The invention relates to an accelerating method for a two-dimensional map library. The method comprises steps as follows: 1) map data are read; 2) an index data model of multiple layers of grids with graded elements is established; 3) required grids are selected according to the range of map data displayed in a screen; 4) the map data in the selected grids are clipped according to the screen display range; 5) the distance between two points of the clipped map data is judged, and a point with the value smaller than a fixed value is discarded; 6) a display map is drawn. By means of the method, the display speed of maps can be increased.

Description

technical field [0001] The invention belongs to the field of computer applications, in particular to a method for accelerating a two-dimensional map library. Background technique [0002] Due to the small memory of the embedded system, the storage space is limited, and usually the map data is relatively large, and the drawing speed of the map is slow, which cannot meet the needs, so it needs to be optimized when drawing. Usually when drawing a map, because the distance between some points is too small, data redundancy in a certain area will be caused, and the points will be too dense. On the one hand, the drawn graphics will be messy and unclear, and on the other hand, the drawing efficiency will be reduced. [0003] At the same time, in the face of huge map data, and limited by the slow processor speed of the embedded platform and the small amount of memory and storage resources, the embedded system cannot meet the actual requirements if it does not optimize the processing ...

AI Technical Summary

Problems solved by technology

[0002] Due to the small memory of the embedded system, the storage space is limited, and usually the map data is relatively large, and the drawing speed of the map is slow, which cannot meet the needs, so it needs to be optimized when drawing

Usually when drawing a map, because the distance between some points is too small, data redundancy in a certain area will be caused, and the points will be too dense. On the one hand, the drawn graphics will be messy and unclear, and on the other hand, the drawing efficiency will also be reduced.

[0003] At the same time, in the face of huge map data, and limited by the slow processor speed of the embedded platform and the small amount of memory and storage resources, the embedded system cannot meet the actual requirements if it does not optimize the processing of large-capacity vector maps.

Moreover, reading the map data directly from the file, the reading speed and drawing speed are also very slow