Early warning method of student behavior based on campus card consumption data

A technology for consuming data and basic data, which is applied in data processing applications, instruments, calculations, etc., and can solve problems such as the lack of special early warnings for campus safety

Active Publication Date: 2021-06-25
NORTHWESTERN POLYTECHNICAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] However, the current research results still lack special early warnings for campus security. In order to better use big data technology in campus security early warnings, provide more important data support for campus security, and enable managers to form an objective and comprehensive security management. consciousness

Method used

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  • Early warning method of student behavior based on campus card consumption data
  • Early warning method of student behavior based on campus card consumption data
  • Early warning method of student behavior based on campus card consumption data

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Embodiment Construction

[0038] Embodiments of the present invention are described in detail below, and the embodiments are exemplary and intended to explain the present invention, but should not be construed as limiting the present invention.

[0039] The present invention designs a method for early warning of student behavior based on campus card data, involves data storage technology, data mining algorithm, data analysis, and data visualization technology, including the following content and technology:

[0040] 1. Data processing of card consumption big data. Including obtaining student consumption source data from the school information center database, and performing data analysis processes such as data denoising, data classification, data processing, and data storage.

[0041]2. For students, it proposes student behavior label acquisition, student behavior analysis, and student behavior early warning based on card consumption data, and realizes the management, reminder and early warning of stud...

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Abstract

The present invention proposes a student behavior early warning method based on campus card consumption data. Based on the school card consumption data, a student early warning system is established according to behavior data such as consumption amount, consumption time, book borrowing, and work and rest time, so as to assist in the construction of a safe campus and prevent problems before they happen. . Through the present invention, the school can keep track of the learning, consumption and life status of the students in the whole school at any time, accurately locate students with abnormal behaviors and provide timely help; students can also inquire about their own learning status at any time, and adjust their learning and living behaviors according to the early warning information .

Description

technical field [0001] The invention relates to a student behavior early warning method based on campus card consumption data. Background technique [0002] One after another case of college students losing contact once again sounded the alarm for the safety management of college students. As higher education enters the stage of popular development, the number of students in colleges and universities in my country is close to 30 million, which is like a huge social group. The safety management of each student cannot be ignored, and it is an important issue in the management of colleges and universities. Some researchers pointed out that in recent years, the crisis that endangers the safety of colleges and universities has gradually become prominent, and the safety and stability work of colleges and universities is facing huge challenges, showing the characteristics of majority, complexity, long-term, and urgency, and the safety work in colleges and universities lacks the ass...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q50/20G06Q50/26
CPCG06Q50/205G06Q50/26
Inventor 马春燕赵彤李保敏
Owner NORTHWESTERN POLYTECHNICAL UNIV
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