Distributed map slicing method and device, storage medium and server

Abstract

The invention provides a distributed map slicing method and device, a storage medium and a server, and is applied to the server, and the method comprises the steps: obtaining a target slicing range ofmap data; determining a plurality of slicing tasks corresponding to the target slicing range; and distributing the plurality of slicing tasks to a plurality of pieces of computer equipment, so that each piece of computer equipment executes the corresponding slicing tasks, the architecture of the plurality of pieces of computer equipment is designed as a distributed architecture, and each piece ofcomputer equipment and the server form a client-server CS architecture. According to the invention, a plurality of slicing tasks can be configured at one time, the plurality of slicing tasks are distributed to the hardware equipment with the distributed architecture, and the hardware equipment with the distributed architecture executes the corresponding map slicing tasks, so that the map slicingefficiency is effectively improved, and the map slicing effect is improved.

Description

technical field [0001] The invention relates to the technical field of geographic information, in particular to a distributed map slicing method, device, storage medium and server. Background technique [0002] With the development of information technology and geographic information systems, usually when loading a map on an electronic device, multiple map slices of the map are gradually called, thereby loading complete map data on the display interface of the electronic device. Therefore, the related technology Generally, some map slicing algorithms are used to slice the map data to form map slices, which may be called tiles. [0003] In related technologies, when slicing map data, usually on the same computer device, before each slicing task of map data is executed, the previous slicing task is first interrupted, and the related slicing task is performed. Parameters are configured, and the tile sequence needs to be recalculated after the last slicing task is interrupted t...

AI Technical Summary

Problems solved by technology

[0004] In this way, the configuration of the slicing task is cumbersome, the configuration efficiency is low, and the generation of the slicing task takes a long time, which seriously affects the slicing process of the entire map data, and the cumbersome configuration process is also relatively easy to introduce configuration error checking, map data slicing not effectively

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