Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for analyzing spatial and temporal distribution of population based on big data

A technology of spatio-temporal distribution and analysis methods, applied in the field of data processing, can solve problems such as accurate statistics of spatio-temporal distribution of population, and achieve the effect of small amount of data and accurate positioning

Active Publication Date: 2019-02-19
北京华鑫信创科技有限公司
View PDF8 Cites 14 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
  • Method for analyzing spatial and temporal distribution of population based on big data

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 invention relates to the technical field of data processing, in particular to a method for analyzing spatial and temporal distribution of population based on big data. The method accurately positions the dwell location and dwell time of a mobile phone by using the mobile phone's motion track and combining the location of the mobile phone connected to a base station. Since the mobile phone userbrings the mobile phone to the body in real time, the mobile phone is accurately positioned, that is the same as precise positioning of the mobile phone user. After the positioning, by determining the specific geographic entity in which each mobile phone user resides in each time period, counting the population dwell data of each geographic entity in each time period, and summarizing the counteddwell data of each geographic entity, the population dwell data in any time period in any area 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
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 Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com