Urban characteristic block population density estimation method and system based on spatial big data

A technology with large population density and large space, applied in the field of population density estimation, can solve problems such as high cost of manpower management and equipment procurement, difficulty in collecting floating population information, time-consuming and laborious population density statistics, etc.

Inactive Publication Date: 2021-05-18
SHANGHAI INST OF TECH
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  • Abstract
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  • Application Information

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Problems solved by technology

[0003] To sum up, the problems existing in the existing technology are: the existing population information collection method requires a lot of manpower management and equipment pr

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  • Urban characteristic block population density estimation method and system based on spatial big data
  • Urban characteristic block population density estimation method and system based on spatial big data
  • Urban characteristic block population density estimation method and system based on spatial big data

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Embodiment Construction

[0048] In order to further understand the content, features and effects of the present invention, the following examples are given, and detailed descriptions are given below with reference to the accompanying drawings.

[0049] The structure of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0050] Such as figure 1 As shown, the method for estimating the population density of urban characteristic blocks based on spatial big data provided by the present invention includes the following steps:

[0051] S101, using the remote sensing image collection module to collect images of urban characteristic blocks with remote sensing equipment; using the population information collection module to collect population information data of urban characteristic blocks with mobile devices;

[0052] S102, the main control module recognizes and collects the human body data in the image by using the human body recognition program through th...

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Abstract

The invention belongs to the technical field of population density estimation, and discloses an urban characteristic block population density estimation method and system based on spatial big data. The urban characteristic block population density estimation system based on the spatial big data comprises a remote sensing image acquisition module, a population information acquisition module, a main control module, an image recognition module, a population statistics module, a population density calculation module, a simulation module, a cloud storage module and a display module. According to the invention, through the population information acquisition module, the staff management work required for floating population information acquisition by a floating population management department is saved, and no special population information acquisition equipment needs to be purchased, so the cost is saved; meanwhile, the population density condition of the prefecture-level city-level cities can be effectively simulated through the simulation module, manual statistics is replaced with an automatic means, and a large amount of manpower and material resources can be saved.

Description

technical field [0001] The invention belongs to the technical field of population density estimation, and in particular relates to a population density estimation method and system method of urban characteristic blocks based on spatial big data. Background technique [0002] Population density is the number of people per unit of land area. There are two commonly used units of measurement: person / square kilometer; person / ha. It is an important indicator to measure the population distribution of a country or region. The land area for calculating population density refers to the land area and inland waters within the territory, excluding the territorial sea. Since the population density indicator assumes that the population is evenly distributed in a certain area it involves, the smaller the population density calculation range, the more faithfully it can reflect the population distribution; the larger the range, it can only reveal the population distribution in a general way...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06Q50/26G06F17/18
CPCG06Q50/26G06F17/18G06V20/13G06V20/176
Inventor 舒文婷贺坤
Owner SHANGHAI INST OF TECH
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