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Movement position analysis method in sense network environment

A technology of moving position and analysis method, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problem that students or school staff may appear in a residential area outside the school at night, then the user may be a local Problems with students or staff, a kindergarten or elementary school in the morning or evening

Active Publication Date: 2014-02-19
SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
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AI Technical Summary

Problems solved by technology

For example, if a user with a mobile phone is often present on a university campus during normal working hours, the user may be a student or a school staff; and if the user often appears in a residential area outside the campus at night, the user may Is a local student or staff member; and if the user frequently appears in a kindergarten or elementary school in the morning or evening, the user is likely to be a staff member

Method used

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  • Movement position analysis method in sense network environment
  • Movement position analysis method in sense network environment
  • Movement position analysis method in sense network environment

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Embodiment Construction

[0026] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0027] The present invention is mainly composed of positioning data receiver, system server, database server, data association, aggregation analysis, communication network, user terminal and other parts. Its system structure is as follows: figure 1 shown. in:

[0028] 1. Positioning data receiver: It is used to receive the positioning data sent back by the positionable device through the cellular communication network, WIFI, communication satellite, Internet, etc., and then forward the positioning data to the system server for processing. The locatable device may include a cellular phone, a GPS device, a WIFI device, an RFID device, or any other device capable of identifying a spatio-temporal location. At the same time, all locatable devices should have a "unique identifier". The so-called "unique identifier" is some information that can uni...

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Abstract

The invention relates to the technical field of movement positioning data analysis in a sense network environment, and discloses a movement position analysis system and method in the sense network environment for performing clustering analysis and knowledge discovery on positioning data by orienting positioning data acquired by a mobile device and combining with other additional information. The movement position analysis method in the sense network environment comprises the steps of: receiving positioning data points sent by one or more locatable devices; performing data correlation on the positioning data points and population structure characteristic data as well as user historical trajectory data; performing clustering analysis on the correlated positioning data points, aggregating users with similar characteristics into a group so as to obtain group structure characteristic data; exporting an aggregated result. According to the method, mobile users with similar characteristics can be aggregated to form a group based on the positioning data and other information, and the group information can be shown on a user terminal or a public display device in a friendly way.

Description

technical field [0001] The invention relates to the technical field of mobile positioning data analysis in a sensory network environment, and is a mobile position analysis system and method in a sensory network environment that collects positioning data for mobile devices and performs aggregation analysis and knowledge discovery on the positioning data in combination with other additional information . Background technique [0002] At present, with the development of positioning equipment and positioning technology, various positioning services are gradually enriched. At the same time, a large number of historical or real-time data generated by mobile devices (mobile phones, car GPS navigators, etc.) are also generated. These data generally include device unique identifiers, time, latitude and longitude, speed, direction, and other metadata information. These data faithfully record the movement trajectory of people's daily activities and contain a wealth of knowledge. Use...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/9537
Inventor 库涛朱云龙吴俊伟王亮吕赐兴陈瀚宁张丁一
Owner SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
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