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Population dynamic measurement and calculation method and system based on urban super-brain computing platform

A population dynamics and computing platform technology, applied in the field of smart population management, can solve problems such as the lack of scientific and quantitative analysis methods

Active Publication Date: 2020-01-17
重庆特斯联智慧科技股份有限公司
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Problems solved by technology

However, the current prediction of the dynamic distribution of the high mobility of the regional population lacks scientific and quantitative analysis methods, and can only rely on experience for evaluation and prediction

Method used

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  • Population dynamic measurement and calculation method and system based on urban super-brain computing platform
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  • Population dynamic measurement and calculation method and system based on urban super-brain computing platform

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Embodiment Construction

[0045] The technical solutions in the embodiments of the present invention will be clearly and completely described below, obviously, the described embodiments are only some of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of the present invention.

[0046] like figure 1 Shown, the present invention provides following method:

[0047] A population dynamics calculation method relying on the "Urban Super Brain" computing platform, comprising the following steps:

[0048] S1. Preset population type;

[0049] In order to further optimize the above-mentioned technical features, in S1, according to individual internal differences such as income level, age, travel mode, occupation and other factors, the first type, the second type...the nth type of population in total are preset. ...

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Abstract

The invention provides a population dynamic measurement and calculation method and system automatically depending on an urban super-brain computing platform. The method comprises the following steps:S1, presetting a population type; s2, establishing an influence degree model of the spatial environment and spatial relationship of the urban spatial region relative to dynamic distribution of different population types; s3, collecting a certain number of samples of a real city space area; s4, respectively training the influence degree models established in the step S2 by utilizing the samples collected in the step S3; and S5, substituting the spatial environment and spatial relationship parameters of any real urban spatial region into the influence degree model trained in the step S4, and obtaining dynamic population distribution of various types in the urban spatial region. Scientific and targeted analysis and judgment of dynamic distribution conditions of different types of population are facilitated, the population quantity of urban space areas is predicted, and population density points are excavated.

Description

technical field [0001] The present invention relates to the field of intelligent population management, and more specifically relates to a population dynamic measurement method and system relying on an "urban ultra-brain" computing platform. Background technique [0002] The population presents a dynamic distribution of high mobility in the urban space. For a spatial area of ​​the city, the population in the future is calculated, and then the densely populated points are discovered, which is conducive to the deployment of resources such as transportation, police force, and communication signal vehicles. In order to avoid unexpected situations such as crowding, stampede, and communication interruption in densely populated areas. However, the current prediction of the dynamic distribution of high mobility in the region lacks scientific and quantitative analysis methods, and can only rely on experience for evaluation and prediction. [0003] At present, "Urban Super Brain", as...

Claims

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Application Information

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IPC IPC(8): G06F17/10G06K9/62G06N3/04G06N3/08G06Q50/26
CPCG06F17/10G06Q50/26G06N3/084G06N3/044G06F18/241G06F18/2415
Inventor 李杨王琪
Owner 重庆特斯联智慧科技股份有限公司
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