Method and system for updating tile map data and services based on parallel computing mode

Abstract

The invention relates to a tile map data and service updating method and system based on a parallel computing mode, and belongs to the field of geographic information updating methods. The method comprises the steps that an expandable map defining file for describing map file information to be processed is defined in a key value pair mode, a map cut component operating on a JStorm frame is defined and used for generating multiple tile production sub tasks executed in parallel according to the map file information in the map defining file, and the execution results of the sub tasks are gathered to form final tile map data, wherein each hierarchy of a pyramid corresponds to a sub task. Accordingly, the method has the advantages that the vector tile data are produced in a parallel and automatic mode, and the task schedule and state can be comprehensively learned; messages can be automatically pushed to a GIS service management system in an informing mode, and therefore use data of GIS service are updated.

Description

technical field [0001] The invention relates to a map data and service update method, which belongs to the field of geographic information update methods, and in particular to a tile map data and service update method and system based on a parallel computing mode. Background technique [0002] The production of tile data in GIS services is a long-term and time-consuming process. The traditional tile data production process is handled by a single machine. Refer to the use of national (china4 million) data to produce tiles. At present, the tools used can only be divided into grids and processed line by line. The data of the entire country is stored on a PC (configured with i5 dual-core, It takes about 20 hours to finish processing on 4GB of memory. After the tool completes the tile and its metadata update, the data update of the existing service needs to complete the service configuration update through the service management system, so that the service update can be realize...

AI Technical Summary

Problems solved by technology

[0008] The present invention mainly solves the technical problems existing in the prior art such as the inability to automatically assign tasks, the lack of monitoring of the task running status, and the poor scalability of the hardware, and provides a tile map data and service based on a parallel computing mode. The update method, which can automatically assign tasks and can be deployed on the cloud platform, can dynamically monitor the performance indicators of computing machines, expand and shrink computing resources according to the amount of production tasks, and can redo failed tasks through configuration parameters, thereby Save production time and management costs

Images