A Big Data-Based Analysis Method of Population Temporal and Spatial Distribution

A spatiotemporal distribution and analysis method technology, applied in the field of data processing, can solve the problem of accurate statistics of the spatiotemporal distribution data of the population, etc., and achieve the effect of small data volume and accurate positioning

Active Publication Date: 2021-06-04
北京华鑫信创科技有限公司
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to provide a large data-based analysis method for the temporal and spatial distribution of population, which solves the problem that the prior art cannot conduct comprehensive and accurate statistics on the temporal and spatial distribution of population

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Big Data-Based Analysis Method of Population Temporal and Spatial Distribution
  • A Big Data-Based Analysis Method of Population Temporal and Spatial Distribution

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0061] This embodiment provides a method for analyzing population spatiotemporal distribution based on big data, including the following steps:

[0062] S1. Obtain the engineering parameters of the base station provided by the communication operator, the signaling data of the mobile service, and the set of coordinate points of the actual position of the space block provided by the map service provider;

[0063] S2. Through the set of base station engineering parameters and the actual position coordinate points of the space block, a geographic entity feature fingerprint is formed;

[0064] S3. Aggregate the service signaling data according to the time and space relationship, and determine the characteristics of the user's service signaling trajectory data; since it is service signaling, there is only one base station at a time point. However, when the user is in one location, base station switching may occur due to various factors, that is, multiple continuous service signaling...

Embodiment 2

[0220] This embodiment provides a method for analyzing population spatiotemporal distribution based on big data, including the following steps:

[0221] S1. Obtain the engineering parameters of the base station provided by the communication operator, the signaling data of the mobile service, and the set of coordinate points of the actual position of the space block provided by the map service provider;

[0222] S2. Through the set of base station engineering parameters and the actual position coordinate points of the space block, a geographic entity feature fingerprint is formed;

[0223] S3. Aggregate the service signaling data according to the time and space relationship, and determine the characteristics of the user's service signaling trajectory data; since it is service signaling, there is only one base station at a time point. However, when the user is in one location, base station switching may occur due to various factors, that is, multiple continuous service signaling...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The present invention relates to the technical field of data processing, in particular to a large data-based analysis method for temporal and spatial distribution of population. The present invention accurately locates the location and dwell time of the mobile phone through the movement trajectory of the mobile phone, combined with the position where the mobile phone is connected to the base station. Since the mobile phone user carries the mobile phone on his body in real time, it is quite For precise positioning of mobile phone users. After positioning, determine the specific geographical entity where each mobile phone user resides in each time period, count the population resident data of each geographical entity in each time period, and then count the resident population of each geographical entity By summarizing the residence data, the population residence data in any time period in any region can be obtained.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a large data-based method for analyzing population spatiotemporal distribution. Background technique [0002] The study of demography has a long history, and its significance goes without saying. It has been paid more attention in contemporary times. In 1994, the United Nations Conference on Population and Development in Cairo stated that "human beings are at the center of sustainable development issues that are of universal concern". Although my country has entered a stage of stable low birth rate, due to the influence of population base, population age structure, population migration and socio-economic development process, the level of human development is still very low, and the impact of population problems on economic and social development is gradually increasing. [0003] As the main body of the population system, human beings are active on the surface of t...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): H04W4/029H04W24/08
CPCH04W24/08H04W4/029
Inventor 李小东蓝良姬
Owner 北京华鑫信创科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap