Vector data updating range determination method and device, electronic equipment and storage medium

Abstract

The invention provides a vector data updating range determination method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a map updating data package containing a target map; the target map comprises a plurality of pieces of first map vector data; clustering the first map vector data according to a preset distance and a distance between the first map vector data to obtain a plurality of map vector data sets; one piece of target map vector data exists in the map vector data set, and the distance between other first map vector data and the target map vector data is smaller than a preset distance; and determining the boundary of the map vector data set according to the position of each piece of first map vector data in the map vector data set on the target map, and taking an area enclosed by the boundary as one updating range on the target map. The method is beneficial for improving the efficiency of determining the updating range and the accuracy of the updating range.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular, to a method, apparatus, electronic device, and storage medium for determining an update range of vector data. Background technique [0002] In recent years, with the rapid development of information technology, the collection methods of spatial data, especially vector data, have become increasingly abundant. It is widely used in many fields such as smart agriculture and smart travel. High-precision, large-coverage super-massive vector data has exploded. Vector data is an important data type. It expresses point, line, and polygon features through three feature types: point, line, and polygon. It supports high-definition display, infinite scaling, and real-time rendering. [0003] When updating large-scale vector data, deleting and inserting data by traversing features requires a long traversal process. Based on the spatial characteristics of vector data, in the fa...

AI Technical Summary

Problems solved by technology

Based on the spatial characteristics of vector data, in the face of the rapid update requirements of large-scale multi-batch vector data, updating data according to range increments is a convenient and efficient vector data update method. Deleting and inserting data by range can avoid all traversal, greatly Improve the efficiency of data update, but a difficulty in this method is how to quickly and accurately obtain the update range

[0004] In the prior art, the method of determining the update range is mainly through manual visual judgment and manual delineation of the update range. This method is likely to cause low efficiency in delineating the update range and is not suitable for large-scale delineation of the update range; and , manual delineation of the update range can easily lead to data omission

Finally, in order to avoid data omission, if the staff arbitrarily expands the demarcation range subjectively, the accuracy of the demarcated update range will be low, which will easily affect the update efficiency of vector data

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