Individual activity steady state training method under large data environment

A training method and big data technology, applied in data processing applications, electrical digital data processing, special data processing applications, etc., can solve the systematic deviation, the positioning deviation is a few meters to a dozen meters, and the Wi-Fi positioning deviation is 10- 100 meters, lack of time range or space range, etc., to achieve high timeliness effects

Inactive Publication Date: 2016-09-28
上海世脉信息科技有限公司
View PDF0 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to electronic technology itself, each spatial coordinate point will have a corresponding systematic deviation, such as GPS, Galileo, and Beidou system positioning deviations are in the range of a few meters to more than ten meters, Wi-Fi positioning deviations are in the range of 10-100 meters, and mobile phone base stations The positio...

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
  • Individual activity steady state training method under large data environment
  • Individual activity steady state training method under large data environment
  • Individual activity steady state training method under large data environment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] In order to make the present invention more comprehensible, preferred embodiments are described in detail below with accompanying drawings.

[0023] Such as figure 1 As shown, the individual activity steady-state training method under a kind of big data environment provided by the present invention comprises the following steps:

[0024] Step 1. Obtain anonymous encrypted individual data from the operator. The data refers to the time series of anonymous encrypted individual location information obtained and desensitized by the operator from the mobile communication network, wireless Wi-Fi, and location service-related APPs. The anonymous encrypted individual data obtained from the operator includes: EPID, TIME, EDVID, the details are as follows:

[0025] 1) EPID (anonymous one-way encrypted global unique mobile subscriber IDentity, EncryPtion international mobile subscriber IDentity), which is a one-way irreversible encryption for each individual by the operator, so as...

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 aims at using a space activity range data set of a mobile terminal individual time sequence to excavate steady state and unsteady state behaviors of the individual and carrying out space-time range statistics on the behaviors so as to really and objectively reflect population residence distribution and flow conditions in a city. In order to reach the above purpose, a technical scheme of the invention provides an individual activity steady state training method under a large data environment. The method has the advantages that large data resources of an existing mobile terminal are fully used; through using a lot of existing anonymous encryption mobile terminal individual positioning data of an operator, distribution of steady state behaviors of the city population can be automatically acquired in low-cost and high-frequency mode and high timeliness is possessed.

Description

technical field [0001] The present invention relates to an individual activity steady-state training method based on massive anonymous encrypted mobile terminal individuals (such as mobile phones, tablets, Internet access cards and other independent mobile terminals, hereinafter referred to as individuals) time-series positioning data in a big data environment. Clustering the time and space dimensions, looking for the behavior of individuals staying in a small area for a long time (that is, steady state), and statistical training on the spatial distribution, time distribution, and duration distribution of such behaviors, can be used to obtain the time and space of urban population Distribution and flow, providing services for urban operation management, traffic policy evaluation, traffic planning, etc., belonging to the technical field of urban planning and urban operation management. Background technique [0002] A city is a gathering place of population and resources. Urb...

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): G06Q10/06G06F17/30
CPCG06Q10/063G06F16/9537
Inventor 刘杰徐刚丁冲张颖
Owner 上海世脉信息科技有限公司
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