Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Intelligent campus department hanging early warning system

An early warning system and smart campus technology, applied in the field of campus learning, can solve problems such as disconnection of the learning process, achieve the effect of improving self-discipline and reducing the risk of failing courses

Inactive Publication Date: 2019-12-10
MAANSHAN ZHUANGYUANLANG ELECTRONICS TECH
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide an early warning system for smart campus failures in order to solve the problem that college students will lose touch with their learning process once they relax after years of intense study

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 campus department hanging early warning system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0044] As a preferred embodiment of the present invention: the student's grades in each subject include final exam grades and semester credits, the score statistics module converts the final exam grades and semester credits into electrical signals and sends them to the comparison module, and the comparison module compares the electrical signals with Baocheng grades Compare and get the results, which is convenient for quick statistics, and judge whether to fail the course.

Embodiment 2

[0046] As a preferred embodiment of the present invention: the real-time camera module of the mobile phone APP is electrically connected with the real-time positioning module of the mobile phone APP and the clock-in module of the mobile phone APP. Check-in and check-in at non-study locations, so as to improve the accuracy of check-in, so that check-in will not become a mere formality.

Embodiment 3

[0048] As a preferred embodiment of the present invention: the real-time positioning module of the mobile phone APP is positioned based on GPS, which is convenient for improving the positioning accuracy of the real-time positioning module of the mobile phone APP.

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 discloses an intelligent campus subject hanging early warning system, and relates to the field of campus learning, and the system comprises a score statistics module which is used for recording the scores of all subjects of students; a comparison module used for comparing an existing score with a qualified score line; and a mobile phone APP recording module used for recording the rest time and the learning time of the students. According to the invention, a mobile phone APP face recognition module, a mobile phone APP real-time shooting module, a mobile phone APP real-time positioning module and a mobile phone APP clock-in module are arranged. The mobile phone APP clock-in module is used for recognizing a student in the learning process and obtaining a picture and a learning place of the surrounding environment of learning, so that the student can learn consciously, and the mobile phone APP clock-in module can prevent clock-in of the student from flowing to a program, so that the learning autonomy is improved; by arranging the mobile phone APP test module, students can carry out self-check and self-test in daily life, weak points on learning problems can be known, so that self-reinforced training is carried out, and the hanging risk is reduced.

Description

technical field [0001] The invention relates to the field of campus learning, in particular to a smart campus early warning system for failing subjects. Background technique [0002] At present, when students in major colleges and universities study, they mainly rely on self-study, and teachers mainly play the role of tutoring. However, after years of intensive study, college students will immediately lose touch with their learning process once they relax. [0003] Therefore, there is a need for a smart campus early warning system to supervise and urge students to study, and to give early warning to students who fail projects during the learning process, so that students can carry out targeted training during the learning process. Contents of the invention [0004] The purpose of the present invention is to provide a smart campus early warning system for failing courses in order to solve the problem that college students lose control of their learning process once they rel...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/20G06K9/00
CPCG06Q50/205G06V40/166
Inventor 蒋智谋谢水兵
Owner MAANSHAN ZHUANGYUANLANG ELECTRONICS TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com