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Method and system for discovering behavior track of students based on big data campus environment

A discovery method and data system technology, applied in the field of discovery system based on student behavior trajectory in campus big data environment

Inactive Publication Date: 2018-06-15
SANMENG TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There is also no reasonable and mature big data application for the discovery and analysis of student behavior trajectories

Method used

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  • Method and system for discovering behavior track of students based on big data campus environment
  • Method and system for discovering behavior track of students based on big data campus environment
  • Method and system for discovering behavior track of students based on big data campus environment

Examples

Experimental program
Comparison scheme
Effect test

no. 1 example

[0025] see figure 1 , figure 1 Shows the flow chart of the first embodiment of the method for discovering student behavior tracks based on the campus big data environment of the present invention, which includes:

[0026] S101. Obtain system data of each data system in the campus environment.

[0027] The data system can be an all-in-one card system, wireless WiFi system, wired network system, information network call center system, access control system, dormitory passage machine system, school affairs management system, network authentication and auditing system, etc., but not limited thereto.

[0028] Correspondingly, the system data is the time information, location information, basic information and behavior information extracted from the data system, but it is not limited thereto. Specifically, the location information can be obtained through the one-card system, access control system, dormitory channel machine system, wireless WIFI system, etc., the basic information ...

no. 2 example

[0041] see figure 2 , figure 2 Shows the flow chart of the second embodiment of the method for discovering student behavior tracks based on the campus big data environment of the present invention, which includes:

[0042] S201. Obtain system data of each data system in the campus environment.

[0043] S202. Cleaning and correlating the system data to form key data of the behavior track model;

[0044] S203, constructing an initial trajectory model of student behavior according to the key data of the behavior trajectory model;

[0045] S204, modifying the initial trajectory model of student behavior to form a complete trajectory model of student behavior.

[0046] S205, preset the abnormal student behavior alarm model and the student group event alarm model; judge whether an abnormal student behavior event occurs according to the student behavior abnormal alarm model and the student behavior complete track model; judge whether or not according to the student group event a...

no. 1 example

[0053] see image 3 , image 3 It is the first embodiment of the present invention based on the discovery system 100 of student behavior tracks under the campus big data environment, and the present invention includes:

[0054] The acquisition unit 1 is used to acquire system data of each data system in the campus environment. The data system can be an all-in-one card system, wireless WiFi system, wired network system, information network call center system, access control system, dormitory passage machine system, school affairs management system, network authentication and auditing system, etc., but not limited thereto. Correspondingly, the system data is the time information, location information, basic information and behavior information extracted from the data system, but it is not limited thereto. Specifically, the location information can be obtained through the one-card system, access control system, dormitory channel machine system, wireless WIFI system, etc., the b...

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PUM

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Abstract

The invention discloses a method for discovering the behavior track of students based on a big data campus environment, comprising the following steps: obtaining system data of each data system in a campus environment, wherein the system data includes time information, location information, basic information and behavior action information; cleaning and correlating the system data to form behaviortrack model key data; constructing an initial student behavior track model according to the behavior track model key data; and modifying the initial student behavior track model to form a complete student behavior track model. The invention further discloses a system for discovering the behavior track of students based on a big data campus environment. According to the invention, values are assigned to the obtained system data records of the data systems and a correlation analysis of the system data records is made, and the depiction of the behaviors and track of students with time as an advancing dimension is built. Moreover, the real behaviors in the track can be depicted through big data technologies such as multidimensional data correlation, logical judgment and error correction, anddeep data mining.

Description

technical field [0001] The present invention relates to the field of big data technology, in particular to a method for discovering student behavior trajectories based on campus big data environment and a system for discovering student behavior trajectories based on campus big data environment. Background technique [0002] In the context of the rapid development of big data technology, the value of data is becoming more and more important. In massively parallel processing (MPP) databases, data mining, distributed file systems (HDFS), distributed databases (hive, Hbase), cloud computing platforms, While Internet and scalable storage system technologies are mature and applied on a large scale, all industries are pursuing and researching how to effectively use data, so that existing data assets can be analyzed and mined to enable enterprises or institutions to have stronger decision-making power and insights Capacity and process optimization capabilities to adapt to high growt...

Claims

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Application Information

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IPC IPC(8): G06Q50/20G06F17/30
CPCG06Q50/205G06F16/283
Inventor 陈国镇谢长江韩高强钟金顺罗龙
Owner SANMENG TECH CO LTD
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