Intelligent planning space-time cloud GIS platform based on Docker container and micro-service architecture

Abstract

The invention discloses an intelligent planning space-time cloud GIS platform based on a Docker container and a micro-service architecture, and the GIS platform employs a hierarchical architecture, and sequentially comprises a basic bottom layer which is used for providing basic services suitable for providing basic supporting facilities and task scheduling and elastic computing resources for theGIS platform; a Linux bottom layer which comprises a control group, a namespace, application protection, equipment and network connection; a data layer which is a data storage engine of the GIS platform; a Docker layer which comprises a Docker client side, a Docker process and a Docker registration information side; and an application layer which adopts a micro-service architecture, and is used for packaging each application program, wherein each application program communicates with the Docker client of the Docker layer, and a request is sent to the Docker server through the Docker client, sothat the Docker container corresponding to each Docker mirror image is managed. According to the invention, the problems of poor flexibility, expansibility and coupling of the existing GIS platform are solved.

Description

technical field [0001] The invention relates to a space-time cloud GIS platform for smart planning, in particular to a space-time cloud GIS platform for smart planning based on a Docker container and a micro-service architecture. Background technique [0002] Smart planning space-time technology is the use of information and communication to sense, analyze and integrate various data information of modern urban operation systems in an all-round and three-dimensional manner, so as to provide targeted and rapid urban environmental protection, public safety, urban services and industrial and commercial services. It not only provides more scientific management for massive spatial data in urban planning, but also makes planning analysis evolveable and perceivable by developing planning data analysis models, including spatial structure, land use analysis, economic Industrial analysis, traffic analysis, population flow analysis, facility analysis, etc., to achieve accurate pulse det...

AI Technical Summary

Problems solved by technology

[0005] (1) Poor flexibility: In order to adapt to the same server environment, various back-end services usually use the same programming technology, resulting in poor information sharing and flexibility;

[0006] (2) Poor scalability: Since all application codes run in the same process, when there is a performance bottleneck in a single application service, it can only improve the overall hardware performance of the server, resulting in serious waste of

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