Intelligent learning monitoring system based on fog computing

An intelligent learning and monitoring system technology, applied in the field of intelligent learning, can solve problems such as ineffective sharing of information, insufficient functions, and insufficient intelligence in design, and achieve the effects of easy operation, prevention of myopia, and auxiliary learning

Inactive Publication Date: 2019-04-09
ZHENGZHOU UNIV
View PDF6 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Aiming at the above problems, the present invention proposes an intelligent learning monitoring system based on fog computing. This system includes an intelligent learning table, a mobile phone APP and a server, which s

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
  • Intelligent learning monitoring system based on fog computing
  • Intelligent learning monitoring system based on fog computing
  • Intelligent learning monitoring system based on fog computing

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0026] Example 1:

[0027] The specific implementation of the intelligent study table is as follows:

[0028](1) When the child uses the smart study table, the smart control box can detect the distance between the child and the smart study table in real time. When the child is not more than 1.5m away from the intelligent learning table, the intelligent control unit will call the data acquisition unit to collect the child's image data, and after preprocessing the image data, upload it to the server through the network, and identify the child's height according to the content returned by the server. , and then call the lift control unit to adjust the height of the desktop.

[0029] (2) After the data acquisition unit receives the learning task of the day sent by the mobile phone APP, it transmits the learning task data to the intelligent control unit for classification processing, and then the intelligent control unit controls the display interaction unit to display the data on...

Example Embodiment

[0037] (4) The mobile APP runs related services in the background. When the mobile APP detects the homework message sent by the teacher through the chat group and the school newsletter, it will automatically identify the content of the message, classify the homework, and then send the data. Give the smart study table and update the display content of the first page of the main interface. In addition, when the mobile APP receives the end-of-learning identification information sent by the smart study table, the mobile APP will upload the child's current learning status information to the server. The specific implementation of the server is:

[0038] (1) After the server receives the data from the smart study table, the data processing program at the back end of the server will analyze the learning behavior of the current picture through image recognition. After the analysis is successful, the results will be sent to the mobile APP and the smart study table respectively; After t...

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 belongs to the field of intelligent learning, and particularly relates to an intelligent learning monitoring system based on fog computing. The intelligent learning monitoring system comprises an intelligent learning table, a mobile phone APP and a server. The system can display a learning task, sent by the mobile phone APP, on the intelligent learning table in real time, collect andfeed back completion of children homework in time, remind children to study and rest on time, and help the children correct bad learning habits. The mobile phone APP automatically acquires homework information, collects and processes the information, and displays data fed back by the intelligent learning table. A front end of the server displays information to a user, and a back end carries out data management, data mining, analysis, and processing, and stores data. The intelligent learning monitoring system provided by the invention can effectively assist children in learning and is an innovation in learning monitoring systems.

Description

technical field [0001] The invention belongs to the field of intelligent learning, in particular to an intelligent learning monitoring system based on fog computing. Background technique [0002] At present, there are a large number of different brands of study desks and chairs designed for children, and their concept as a must-have for children's study and life has gradually been accepted and purchased by the majority of families. [0003] According to the latest statistics in 2018, the myopia rate of children in my country ranks first in the world. If the measures to prevent myopia are not adjusted, the number of people with myopia in my country will increase significantly in five years (especially high myopia). The main cause of children's myopia is that the distance from the eye to the table is too close and the light intensity is not appropriate when reading. [0004] According to the survey, the current interaction between teachers and parents is mainly in the form o...

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): A47B13/08A47B41/00G05B19/04
CPCA47B13/08A47B41/00G05B19/04
Inventor 王瑞娟卢寅宁崔启超赵思凡刘文博贾瀚宇陈志民陈永
Owner ZHENGZHOU UNIV
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