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City big data visualization system

A big data and urban technology, applied in the field of big data, can solve problems such as difficult city management, low data value density of big data visualization, and provide effective information, so as to achieve the effect of convenient operation

Active Publication Date: 2021-06-11
重庆天智慧启科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, big data visualization has a huge amount of data, various types, and low value density. Traditional data visualization processing methods cannot be accurately applied to the processing of big data, and it is difficult to provide effective information for urban management.

Method used

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  • City big data visualization system

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0035] Such as figure 1 As shown, a city big data visualization system in this embodiment includes an access module, a cache module, a storage module, a data management module, an analysis module and a visualization module.

[0036] The access module is used to obtain raw data from multiple external data sources. In this embodiment, in terms of transportation, external data sources include taxi management systems, online car-hailing management systems, shared bicycle management systems, bus management systems, and subway management systems.

[0037] The cache module is used to temporarily store the newly added original data, and process the newly added original data to form standard data. In this embodiment, the cache module cleans, maps and converts the newly added original data. Cleaning means checking data consistency, dealing with invalid and missing values, etc. Mapping is to establish the corresponding relationship of data. Transformation is the transformation of the...

Embodiment 2

[0045] The difference between this embodiment and Embodiment 1 is that the external data sources in this embodiment also include a communication base station, a traffic monitoring system and a weather forecasting system. The standard data in the public transportation classification database also includes weather data, communication equipment movement trajectory data and traffic flow data. In this embodiment, the weather data includes temperature, humidity, weather (clear, rainy, cloudy, etc.), wind power, etc., the movement trajectory data of the communication device refers to the movement trajectory of the smart phone after anonymization processing, and the traffic flow data refers to the vehicle flow data.

Embodiment 3

[0047] The difference between this embodiment and Embodiment 1 is that in this embodiment, the external data source also includes a fire protection system. The data management module is also used to construct the fire classification database.

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Abstract

The invention relates to the technical field of big data, and particularly discloses a city big data visualization system, which comprises an access module used for acquiring original data from a plurality of external data sources; a cache module used for temporarily storing newly added original data and processing the newly added original data to form standard data; and a storage module used for storing standard data in a classified manner. The system also comprises a data management module used for integrating the stored standard data according to preset rules and constructing a plurality of classification databases; an analysis module used for calling the data in the classification databases for analysis to form an analysis result; and a visualization module used for displaying the analysis result. According to the technical scheme, effective information can be provided for city management.

Description

technical field [0001] The invention relates to the technical field of big data, in particular to a visualization system for big data in cities. Background technique [0002] Smart city refers to the combination of information technology and the Internet, through various intelligent applications, to improve the operational efficiency of urban infrastructure, improve the level of urban operation management and public services, and improve people's quality of life. Big data is an important information resource to support the development of smart cities. The signs of urban operation are expressed quantitatively through data. By collecting data about urban operating signs from various departments, it can help city managers to summarize and analyze data, and finally analyze urban signs. Quantitative forms (that is, various types of data) are managed. [0003] At present, in the process of city operation, massive amounts of data are generated all the time. How to collect, refine ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/26G06Q50/26
CPCG06F16/26G06Q50/26
Inventor 焦谋
Owner 重庆天智慧启科技有限公司