Multi-platform data interconnected system for sharing urban data resources

Abstract

The invention relates to a multi-platform data interconnected system for sharing urban data resources. The multi-platform data interconnected system comprises a data aggregation central server, a platform proxy server, a data request client and an urban data resource description model. By virtue of the established data interconnected system, the sharing of the urban data resources in multiple platforms can be realized, and an urban data search and access service is provided for data users. The data aggregation central server acquires data resource description information transmitted by the platform proxy server, and the urban data resources are organized and managed according to a uniform resource description model. A data search service is provided for the data users. The data resource state is updated by the platform proxy server in real time to the central server, and a data access service is provided for a client. By adopting the multi-platform data interconnected system, the interconnection and sharing of the data in multiple platforms can be realized, a uniform data view of the urban data resources is provided for the users, and support is provided for comprehensively mining the effective knowledge in the urban data resources.

Description

technical field [0001] The invention relates to a multi-platform data interconnection system aimed at sharing urban data resources, belonging to the technical field of smart cities. Background technique [0002] With the construction of smart cities and the development of intelligent management systems, a large amount of urban data is generated by a large number of sensing devices in cities every moment. And with the continuous expansion of cities and the continuous increase of various smart services and applications, the types and scale of data will further increase. For example, map and point of interest data, GPS data, passenger flow data, mobile phone data, video surveillance data, environment and weather data, and social activity data, etc. These urban data can not only reflect the real-time operation status of the city and the short-term and long-term activity characteristics of residents, but also can mine the characteristics of the city from multiple angles through ...

AI Technical Summary

Problems solved by technology

[0003] However, it is precisely because of the various types of urban data, the complexity of the model, and the lack of uniform standards that there are some problems in the use of urban data.

On the one hand, the explosive growth of unstructured data such as images and videos has brought great challenges to the storage, management and retrieval of these urban data in traditional databases.

On the other hand, due to the scattered construction of urban system applications in my country and the lack of sharing among various departments, the massive data has not been effectively integrated, the data utilization rate is low, and the redundancy of data resources is scattered.

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