Smart City Data Sharing System

Abstract

The invention relates to a smart city data sharing system, and the system is characterized by comprising a query library module which is used for constructing a query library through the historical accumulated query of smart city big data; an analysis module which is used for performing statistical analysis on the query library to determine an attribute column of which the access frequency exceedsa preset value in the smart city big data; a division module which is used for dividing the smart city big data into data blocks according to the attribute column; and a sharing module which is usedfor receiving the query of the smart city big data, matching the attribute column in the query to the data block, obtaining the data meeting the query from the data block and providing the data for the current query.

Description

Technical field [0001] This application relates to the technical field of the next generation information network industry, in particular to a smart city data sharing system. Background technique [0002] Smart cities aim to maximize the optimization of urban functions, promote economic growth, and use smart technology and data analysis to improve the quality of life of urban residents. At present, the technologies most closely related to smart cities include: unmanned driving, machine learning, and the Internet of Things (IoT). These technologies use big data in different aspects of the city to make life more convenient for urban residents. Among them, the Internet of Things has been deployed in many countries and regions. For example, the city of San Diego in the United States has installed 3,200 detectors in the city to collect road condition information. If there are any problems with the road conditions, the city government can notify citizens as soon as possible and imple...

AI Technical Summary

Problems solved by technology

However, how many people know the pollution risk index of pedestrians, cyclists, drivers and local residents; how to measure the pollution impact of road traffic, traffic lights, buses and subway stations; How much environmental pollution can be alleviated for the urban population; these issues can only be known through the most accurate long-term multi-site monitoring, collecting a large amount of data, and conducting various analyzes

[0004] With the rapid development of smart cities, a large amount of data has been generated. These data have significant characteristics such as large scale, rapid growth, and diverse structures. This makes the use of conventional methods to provide data sharing services for smart cities, because the efficiency is too low and the query speed is too slow.

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