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Campus student activity big data collection system

A collection system and big data technology, applied in data processing applications, registration/indication, climate sustainability, etc., can solve problems such as inconvenience of use, data interoperability, and difficult data collection, and achieve the effect of facilitating data analysis

Active Publication Date: 2022-07-05
博瑞资(重庆)教育科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, there are many types of existing student management systems. For example, in terms of student activity data collection, schools mainly use the attendance check-in of the access control system to know the students' arrival time and departure time, and cannot obtain accurate positioning of students; Parents mainly buy watches with GPS positioning function for students to understand the real-time location of students. The two data are not interoperable, and it is difficult to carry out unified data collection.
Moreover, parents need to know the student's attendance and specific location through two systems, which is inconvenient to use

Method used

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  • Campus student activity big data collection system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0037] like figure 1 As shown, the campus student activity big data collection system in this embodiment includes a teacher end, a server end, a parent end, an attendance end and a student end. The student side includes a communication unit, an attendance recognition unit and a positioning unit. In this embodiment, the student terminal adopts a smart student card, the communication unit adopts a 4G communication chip, the attendance identification unit adopts an RFID chip, and the positioning unit adopts a GPS positioning chip. The 4G communication chip, the RFID chip and the GPS positioning chip are all integrated in the smart student card. . An identification code is stored in the attendance identification unit; in this embodiment, each student corresponds to a unique identification code.

[0038] The attendance terminal is set at the school gate, and the attendance terminal is used to remotely read the identification code in the attendance identification unit and record t...

Embodiment 2

[0047] The difference between the campus student activity big data collection system in this embodiment and the first embodiment is that the daily activity route map also includes family location information and school time.

[0048] The server is also used to determine whether the student has arrived home based on the location information sent by the positioning unit and the family location information in the daily activity route map after the daily activity route map is generated. The server is also used to send an opening instruction to the positioning unit during school hours. When students arrive home safely, there is no longer any need for positioning, and turning off the positioning unit can reduce energy consumption and increase battery life. Turn on the positioning unit when students go to school, so that parents can know the current location of students in time. If a student encounters an unexpected dangerous situation, parents can also be the first to know.

Embodiment 3

[0050] The difference between the campus student activity big data collection system in this embodiment and the second embodiment is that the daily activity route map also includes a school route map and a school route map.

[0051] The server also determines whether the number of late arrivals of the student exceeds the threshold based on the personal attendance report. If it exceeds the threshold, the server obtains the daily activity route map corresponding to the student, and determines whether the student is staying on the way to school based on the route map. If so, the server uses It is used to send a stay reminder to the parent; if not, the server is used to send a reminder to the parent to go out in advance. It is convenient for parents to manage students in a targeted manner, and by reducing students' stay on the way to school or going out early, the purpose of reducing lateness is achieved.

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Abstract

The invention relates to the technical field of data collection, and specifically discloses a campus student activity big data collection system, including a server, an attendance terminal and a student terminal; the student terminal includes an attendance identification unit and a positioning unit; the attendance terminal is used for reading the attendance identification unit. ID code, and upload the ID code to the server; the server is used to determine the student's name and add the corresponding student's attendance data according to the ID code corresponding to the student's name in the student file and the ID code uploaded by the attendance terminal. When the terminal is added to the school attendance status, it sends a closing command to the positioning unit; when the server adds a school attendance status, it sends an opening command to the positioning unit; the positioning unit is used to obtain the opening command from the server, turn on the positioning function and The obtained location information is sent to the server; the server is also used to store the location information in the location data of the student file. By adopting the technical scheme of the present invention, unified data collection can be performed.

Description

technical field [0001] The invention relates to the technical field of data collection, in particular to a large data collection system for campus student activities. Background technique [0002] Under the background of the digital age, campus management also needs to move towards the direction of intelligence. Regardless of the school, or the parents of the students, they hope to know whether the students are in school, whether they are in school on time, whether they are going home on time, etc. by capturing the behavior information of students. As a specific and huge social group, students' trajectory behavior has strong specificity and regularity. Students in the school generate a large amount of data from entering, attending, and leaving school. Collect, clean, extract and mine to obtain valuable information, which can provide decision-making basis for student management, campus management, security warning and other work. [0003] However, there are many kinds of ex...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G07C1/10G06Q50/20
CPCG07C1/10G06Q50/20Y02D10/00
Inventor 赵丹阳
Owner 博瑞资(重庆)教育科技有限公司
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