Space-time big data intelligent service system

Abstract

The invention provides a space-time big data intelligent service system. The service system breaks through the traditional organization and management mode of spatio-temporal data; the system is composed of an infrastructure layer, a resource management and service layer and an application layer. According to the infrastructure layer, virtualized computing basic resources, storage basic resourcesand network basic resources are provided for a resource management and service layer to be used and managed through a network in an infrastructure-as-a-service mode. According to the resource management and service layer, unified management is performed on various spatio-temporal data resources and computational analysis model resources based on a resource directory and a meta-database, providingnetwork data services, network processing services and application layers based on international standards to the outside, calling various standard network services of a resource management and service layer based on a universal application template, and performing application customization; access, management, distributed storage, online computational analysis and visualization of massive and heterogeneous spatio-temporal data are supported, and the system can be applied to various intelligent services of smart cities.

Description

technical field [0001] The invention belongs to the field of big data processing and service technology, and in particular relates to a space-time big data intelligent service system. Background technique [0002] Since the beginning of the 21st century, the amount of data in the world has grown explosively. The term "big data" has attracted widespread attention from the society. GIS has gradually evolved from Geographic Information System (GISystem) to Geographic Information Service (GIService). develop. Much space-time related information can be obtained through network connections, including the Internet, sensor networks, and the Internet of Things. The diversity and correlation of spatio-temporal data are increasing day by day, becoming spatio-temporal big data, which brings many challenges to GIS in terms of access, collection, storage, management, analysis and visualization, including but not limited to: (1) How to use different Data sources and data models for colle...

AI Technical Summary

Problems solved by technology

[0004] However, there are still some problems in the existing geospatial information service system: (1) The entry barrier for users is high, the system is complex, and the learning system operation needs to have a high foundation; (2) The support for accessing spatio-temporal data sources is limited; ( 3) Traditional spatial data indexing methods are less efficient in a distributed environment; (4) The development of distributed computing for spatiotemporal big data is immature, and distributed GIS operators are scarce, which can only meet some application scenarios; (5) Web engineering application development Low efficiency, difficult to reuse

Images