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Big data city management method for smart city

A technology of urban management and big data, applied in data processing applications, instruments, forecasting, etc., can solve problems such as waste of resources, impact on the surrounding environment, and destruction of social harmony, and achieve the effect of improving efficiency and reducing waste of human and material resources

Pending Publication Date: 2022-02-01
徐丹
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Garbage is solid waste generated in human daily life and production. Due to the large amount of discharge, complex and diverse components, and polluting, resourceful and social nature, it needs harmless, resourceful, reduction and socialized treatment. If it is not handled properly, it will pollute the environment, affect environmental sanitation, waste resources, destroy production and living safety, and disrupt social harmony. Garbage disposal is to quickly remove garbage, conduct harmless treatment, and finally make reasonable use of it.
[0004] With the improvement of the urban level, more and more garbage appears. How to correctly and scientifically manage the garbage has always been a problem to be solved. If the garbage cannot be disposed of in time, the garbage will have an impact on the surrounding environment.

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  • Big data city management method for smart city
  • Big data city management method for smart city
  • Big data city management method for smart city

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Embodiment Construction

[0039] The embodiments of the present invention will be further described below in conjunction with the accompanying drawings. The following implementation examples are only used to illustrate the technical solutions of the present invention more clearly, but not to limit the protection scope of the present invention.

[0040] seefigure 1 , in one embodiment, the big data urban management method for smart city may include:

[0041] S1. Transform the garbage disposal task into a task feature matrix based on the first dimension feature, the second dimension feature and the third dimension feature of the garbage disposal task, and convert the garbage disposal task into a quadruple based on the task feature matrix.

[0042] A quadruple includes a type subunit, a logical subunit, a metric subunit and a map subunit. The first dimension feature is the dimension feature of the garbage disposal task; the second dimension characteristic is the time dimension characteristic of the garba...

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Abstract

The invention relates to a big data city management method for a smart city, wherein the method comprises the steps: converting a garbage disposal task into a quaternion, and decomposing the garbage disposal task based on the quaternion to obtain a standard process sequence; acquiring type identifiers of all users, taking the users with the same type identifier as a user group to generate a plurality of user groups, and then extracting features of all the user groups to generate a user feature matrix; and acquiring a preceding process sequence of all the garbage treatment processes, generating a process description model of each garbage treatment process according to the standard process sequence, the user feature matrix and the preceding process sequence of each garbage treatment process, and then establishing a task description model based on the process description models of all the garbage treatment processes; and obtaining a task planning matrix according to the task description model, the first task time and the second task time, and generating a garbage disposal scheme based on the task planning matrix, the first task time and the second task time.

Description

technical field [0001] The invention relates to the fields of big data and smart cities, in particular to a big data city management method for smart cities. Background technique [0002] Big data refers to the collection of data whose content cannot be captured, managed and processed by conventional software tools within a certain period of time. Big data technology refers to the ability to quickly obtain valuable information from various types of data. Technologies applicable to big data, including massively parallel processing databases, data mining grids, distributed file systems, distributed databases, cloud computing platforms, the Internet, and scalable storage systems. [0003] Garbage is solid waste generated in human daily life and production. Due to the large amount of discharge, complex and diverse components, and polluting, resourceful and social nature, it needs harmless, resourceful, reduction and socialized treatment. If it is not handled properly, it will ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q10/04G06Q50/26
CPCG06Q10/06316G06Q10/0633G06Q10/04G06Q50/26
Inventor 徐丹
Owner 徐丹