WO2022016575A1

WO2022016575A1 - Modern intelligent education monitoring management system

Info

Publication number: WO2022016575A1
Application number: PCT/CN2020/105185
Authority: WO
Inventors: 陈小兵; 赵金玲
Original assignee: 南京智金科技创新服务中心
Priority date: 2020-07-21
Filing date: 2020-07-28
Publication date: 2022-01-27
Also published as: CN111738888A

Abstract

Disclosed in the present application is a modern intelligent education monitoring management system in the technical field of education monitoring management. The system comprises an electronic school badge and a recognizer, wherein the electronic school badge and the recognizer can perform near-distance scanning recognition. The system further comprises: a campus network system, wherein the recognizer is in electrical output connection with the campus network system; a photographic acquisition unit, wherein the campus network system is in electrical input connection with the photographic acquisition unit; a wireless communication unit, wherein the campus network system is in electrical output connection with a wireless communication unit; and a mobile phone application terminal, wherein the wireless communication unit transmits data to the mobile phone application terminal. According to the present application, student information is recorded in an electronic school badge, the student information and facial recognition image information of a student are compared by means of RFID technology, and collected information is then transmitted to a mobile phone application terminal in a timely manner by means of a wireless communication unit, such that a parent can learn about the student's arrival at school in a timely manner by means of the mobile phone application terminal.

Description

A modern intelligent education monitoring and management system

technical field

The present application relates to the technical field of education monitoring and management, in particular to a modern intelligent education monitoring and management system.

Background technique

Modern educational technology and equipment are the main components of basic education conditions. Educational technology equipment is the material basis of all educational work, an important carrier and technical guarantee for educational modernization, a technical support for realizing educational modernization and informatization, and a conditional guarantee for advancing the reform of the new curriculum. With the rapid development of Internet technology and embedded technology, the Internet of Things has penetrated into all fields of daily life and production. The video surveillance technology integrating computer technology, network technology and digital video technology came into being. With the integration of automatic control, multimedia technology and 3G technology with video surveillance systems, surveillance technology has also developed rapidly. The monitoring system uses the network to network the scattered and independent image acquisition points, and realizes the unified monitoring, unified management, resource sharing, and expansion of the visual scope of the cross-regional management tool. Parents are often worried about whether students can go to school safely, and the school is unable to monitor students' arrival information in a timely manner and feed back the information to parents' mobile phones. Based on this, the present application designs a modern intelligent education monitoring and management system to solve the above problems.

SUMMARY OF THE INVENTION

The purpose of this application is to provide a modern intelligent education monitoring and management system, so as to solve the problem in the above-mentioned background technology that parents are often worried about whether students can go to school safely, and the school cannot monitor the students' arrival information in time. Feedback to the parent's mobile phone.

In order to achieve the above purpose, the application provides the following technical solutions: a modern intelligent education monitoring and management system, including an electronic school badge and an identifier, the electronic school badge and the identifier can be scanned and identified at close range, and also includes:

a campus network system, wherein the electrical output of the identifier is connected to the campus network system;

a camera acquisition unit, the campus network system is electrically input and connected to the camera acquisition unit;

a wireless communication unit, the electrical output of the campus network system is connected to the wireless communication unit;

The mobile phone APP end, the wireless communication unit transmits data to the mobile phone APP end.

According to some embodiments of the present application, the identifier is an RFID reader,

According to some embodiments of the present application, the electronic school badge includes:

microchip;

a student data storage unit, wherein the electrical output of the microchip is connected to the student data storage unit;

a data extraction unit, the student data storage unit is electrically output and connected to the data extraction unit;

a microchip processor, wherein the electrical output of the data extraction unit is connected to the microchip processor;

A signal feedback unit, the electrical output of the microprocessor is connected to the signal feedback unit.

According to some embodiments of the present application, the identifier includes:

Radio frequency transmitting and receiving unit;

a data statistics unit, the radio frequency transmitting and receiving unit is electrically output and connected to the data statistics unit;

a reader processor, wherein the electrical output of the data statistics unit is connected to the reader processor;

a data reading unit, the reader processor is electrically output and connected to the data reading unit;

A data comparison unit, the data reading unit is electrically output and connected to the data comparison unit.

According to some embodiments of the present application, the camera acquisition unit includes:

camera probe;

an image acquisition unit, the electrical output of the camera probe is connected to the image acquisition unit;

an image processor, the image acquisition unit is electrically output and connected to the image processor;

a monitor and an image digital conversion unit, the image processor is respectively connected to the monitor and the image digital conversion unit by electrical output;

An image digital storage unit, the image digital conversion unit is electrically output and connected to the image digital storage unit.

According to some embodiments of the present application, the electronic school badge is powered by a button battery.

According to some embodiments of the present application, the campus network system compares the students' images and photos with the student data through the data comparison unit, sends the data to the mobile phone APP through the wireless communication unit, and receives the data through the mobile phone APP.

Compared with the existing technology, this application records the student information in the electronic school badge as an electronic label, which is more compact, and compares the student information with the student's face recognition image information through RFID radio frequency technology, and the collected information is timely. Through the wireless transmission unit, it is transmitted to the parents' mobile phone APP, and the parents can grasp the students' arrival situation in time.

Description of drawings

In order to illustrate the technical solutions of the embodiments of the present application more clearly, the following briefly introduces the accompanying drawings used in the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can also be obtained from these drawings without any creative effort.

Fig. 1 is the structural representation of the modern intelligent education monitoring and management system of this application;

Fig. 2 is the electronic school badge structure schematic diagram of the application;

3 is a schematic structural diagram of the identifier of the application;

4 is a schematic structural diagram of a camera acquisition unit of the application;

FIG. 5 is a schematic structural diagram of the multi-mode home-school communication system of the application.

detailed description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present application.

Example 1

Please refer to FIG. 1-FIG. 4. This embodiment provides a technical solution: a modern smart education monitoring and management system, including an electronic school badge and an identifier. The electronic school badge and identifier can be scanned and identified at close range, and the identifier is RFID. The electrical output of the reader and the identifier is connected to the campus network system, the electrical input of the campus network system is connected to the camera acquisition unit, the electrical output of the campus network system is connected to the wireless communication unit, and the wireless communication unit transmits data to the mobile phone APP.

The electronic school badge is provided with a microchip, the electrical output of the microchip is connected to the student data storage unit, the electrical output of the student data storage unit is connected to the data extraction unit, the electrical output of the data extraction unit is connected to the microchip processor, and the electrical output of the microchip processor is connected to the microchip processor. The output is connected to the signal feedback unit.

The identifier includes a radio frequency transmitting and receiving unit, the radio frequency transmitting and receiving unit is electrically output and connected to the data statistics unit, the data statistics unit is electrically output and connected to the reader processor, the reader processor is electrically output and connected to the data reading unit, and the data reading unit is connected to the data reading unit. The electrical output of the unit is connected to the data comparison unit.

Wherein, the camera acquisition unit includes a camera probe, the electrical output of the camera probe is connected to the image acquisition unit, the electrical output of the image acquisition unit is connected to the image processor, and the image processor is respectively connected to the monitor and the image digital conversion unit. The electrical output is connected to the image digital storage unit.

Among them, the electronic school badge is powered by a button battery.

Among them, the campus network system compares the students' images and photos with the student data through the data comparison unit, sends the data to the mobile APP through the wireless communication unit, and receives the data on the mobile phone through the mobile APP.

A specific application of this embodiment is: a microchip is provided in the electronic school badge, the electrical output of the microchip is connected to the student data storage unit, the electrical output of the student data storage unit is connected to the data extraction unit, and the electrical output of the data extraction unit is connected to the microchip processing unit The electrical output of the microchip processor is connected to the signal feedback unit, the radio frequency transmitting and receiving unit, the electrical output of the radio frequency transmitting and receiving unit is connected to the data statistics unit, the electrical output of the data statistics unit is connected to the reader processor, and the reader processor is electrically output The data reading unit is connected, and the data reading unit is electrically output and connected to the data comparison unit;

The student data storage unit in the electronic school badge stores the personal information data of the students. When the student enters the data collection range of the recognizer, the radio frequency transmitting and receiving unit in the recognizer performs radio frequency transmission and signal collection, and the signal is in the data extraction unit in the electronic school badge. Extract data with the microchip processor, and feed back the student data to the recognizer through the signal feedback unit, and the recognizer reads the data statistically through the reader processor and compares it with the previously entered student information;

The electrical output of the camera probe is connected to the image acquisition unit, the electrical output of the image acquisition unit is connected to the image processor, the image processor is electrically output to connect the monitor and the image digital conversion unit, and the image digital conversion unit is electrically output to connect the image digital storage unit;

The camera probe in the camera acquisition unit collects data on the student's face, monitors it through the monitor, and stores the data through the image digital storage unit, which is convenient for data storage and retrieval, and the image of the face recognition and the student's data information are fed back together. The data information is transmitted to the parents' mobile APP through the wireless communication unit, so that the parents can grasp the students' arrival status in real time.

Embodiment 2

Different from the first embodiment, the modern intelligent education monitoring and management system in this embodiment also includes a multi-mode home-school communication system as shown in FIG. Learning information, and sending learning information; statistics module, used to receive learning information, and based on the learning information to count students' study time, progress scores and the number of failed exams; anomaly module, used to judge students' learning in various subjects Whether it is abnormal: First, compare the size of the learning time and the time threshold: if the learning time is less than the time threshold, then compare the number of failures and the threshold of the number of times: If the number of failures is less than the number of times threshold, it is judged that the learning situation is normal; if If the number of failures is greater than or equal to the number of times threshold, the learning situation is judged to be abnormal; if the learning time is greater than or equal to the time threshold, then the progress score and the score threshold are compared: if the progress score is greater than or equal to the score threshold, it is judged that the learning situation is normal ; If the progress score is less than the score threshold, it is judged that the learning situation is abnormal; finally, the judgment result is sent; the push module is used to receive the judgment result, and when the learning situation is abnormal, push reminder information to parents.

According to the exemplary embodiment of the present application, the working process of the above-mentioned multi-mode home-school communication system includes:

S1, the collection module collects the learning information of each subject of the students, and sends the learning information to the statistics module after the collection is completed. In this embodiment, each subject includes Chinese, mathematics, English, physics, chemistry, and biology, and the collected learning information includes the number of lessons, scores, class rank, and the name and contact information of the teacher in charge. The total score for each subject is 100 points. , the total class size is 50 students, and each class is 1 hour. For example, the learning information of a student Zhang San is as follows:

"Chinese: number of lessons, 52; score, 55; ranking, 40th; teacher, Liu, 130×;

Mathematics: the number of lessons, 60; the score, 88; the ranking, the 12th; the teacher, Zhang, 131×;

English: number of lessons, 55; marks, 65 points; ranking, 35th; teacher, Wang, 132×;

Physics: Number of lessons, 62 periods; Score, 82 points; Rank, No. 8; Teacher, Mr. Sun, 133×;

Chemistry: Number of lessons, 50; Score, 75; Rank, No. 22; Teacher, Wu, 134×;

Biology: the number of lessons, 65; the score, 90; the ranking, the 5th; the teacher, Yang, 135×;”

After this information is collected, it is sent to the statistics module.

S2, the statistics module receives learning information, and according to the learning information, counts the students' study time, progress scores and the number of failed exams in each subject. After the statistics module receives the information, it counts the study time, progress scores and the number of failed exams of each student in each subject. For example, in the subject of statistical English: credit hours = 55 × 1 = 55 credit hours; if the last test score was 63 points, the progress score = 65-63 = 2 points; the number of failures is 0 times. In addition, the progress rankings of various disciplines are also counted, for example, the 4th progress in chemistry. Similarly, statistics of learning information for other subjects. After the statistics are completed, the results of the statistics are sent to the exception module.

S3, abnormality module, is used to judge whether the learning situation of each subject of the student is abnormal: first, compare the size of the learning time and the time threshold: if the learning time is less than the time threshold, then compare the number of failures and the size of the threshold: if If the number of failures is less than the number of times threshold, it is judged that the learning situation is normal; if the number of failures is greater than or equal to the number of times threshold, it is judged that the learning situation is abnormal; if the learning time is greater than or equal to the time threshold, then compare the progress score and the score threshold. : If the progress score is greater than or equal to the score threshold, the learning situation is judged to be normal; if the progress score is less than the score threshold, the learning situation is judged to be abnormal.

In this embodiment, the time threshold is set to 60 hours, the number of times threshold is set to 3 times, and the score threshold is set to 5 minutes. Specifically, the first step is to compare the learning time with the time threshold. If the learning time is less than the time threshold, for example, the learning time of Chinese is 52 hours, and the learning time of English is 55 hours, both of which are less than the time threshold of 60 hours. In the second step, it is necessary to compare the number of failures with the threshold of the number of times. For example, the number of failures in Chinese is 4 times, which is greater than the threshold of 3 times; the number of failures in English is 1, which is less than the threshold of 3 times. Therefore, the learning situation of English is judged to be normal, and the learning situation of Chinese is judged to be abnormal. Conversely, if the learning time is greater than or equal to the time threshold, for example, the learning time of biology is 65 hours, which is greater than the time threshold of 60 hours; the learning time of mathematics is 60 hours, which is equal to the time threshold of 60 hours. The second step is not to compare the number of failures and the threshold of the number of times, but to compare the size of the progress score and the score threshold. For example, the last exam in biology was 83 points, and the progress score = 90-83 = 7 points, which is 5 points above the score threshold; the last test in mathematics was 86 points, and the progress score = 88-86 = 2 points, 5 points less than the score threshold . Therefore, the learning situation of biology is judged to be normal, and the learning situation of mathematics is judged to be abnormal. Finally, the abnormal results of the two subjects of Chinese and mathematics are sent to the push module.

S4, when the learning situation is abnormal, the push module pushes reminder information to the parents. After the push module receives the abnormal results of the two subjects of Chinese and mathematics, it will push the reminder information according to the number of subjects with abnormal learning conditions. In this embodiment, the first threshold is set to 3, and the second threshold is set to 2. Zhang San, the number of subjects with abnormal learning situation is 2, so a reminder message "should pay attention" is pushed to parents. When parents receive the "should pay attention" reminder message, they can call the language teacher Liu's mobile phone number 130× and the math teacher Zhang's mobile phone number 131× to learn about the student's detailed learning situation.

In the description of this specification, description with reference to the terms "one embodiment," "example," "specific example," etc. means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one aspect of the present application. in one embodiment or example. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

The preferred embodiments of the present application disclosed above are only provided to help illustrate the present application. The preferred embodiments do not exhaust all the details, nor do they limit the invention to only the described embodiments. Obviously, many modifications and variations are possible in light of the content of this specification. These embodiments are selected and described in this specification in order to better explain the principles and practical applications of the present application, so that those skilled in the art can well understand and utilize the present application. This application is to be limited only by the claims, along with their full scope and equivalents.

Claims

A modern intelligent education monitoring and management system, comprising an electronic school badge and an identifier, wherein the electronic school badge and the identifier can be scanned and identified at close range, and further comprising:

a campus network system, wherein the electrical output of the identifier is connected to the campus network system;

a camera acquisition unit, the campus network system is electrically input and connected to the camera acquisition unit;

a wireless communication unit, the electrical output of the campus network system is connected to the wireless communication unit;

The mobile phone APP end, the wireless communication unit transmits data to the mobile phone APP end.
The modern intelligent education monitoring and management system according to claim 1, wherein the identifier is an RFID reader.
The modern intelligent education monitoring and management system according to claim 1, wherein the electronic school badge comprises:

microchip;

a student data storage unit, wherein the electrical output of the microchip is connected to the student data storage unit;

a data extraction unit, the student data storage unit is electrically output and connected to the data extraction unit;

a microchip processor, wherein the electrical output of the data extraction unit is connected to the microchip processor;

A signal feedback unit, the electrical output of the microprocessor is connected to the signal feedback unit.
The modern intelligent education monitoring and management system according to claim 1, wherein the identifier comprises:

Radio frequency transmitting and receiving unit;

a data statistics unit, the radio frequency transmitting and receiving unit is electrically output and connected to the data statistics unit;

a reader processor, wherein the electrical output of the data statistics unit is connected to the reader processor;

a data reading unit, the reader processor is electrically output and connected to the data reading unit;

A data comparison unit, the data reading unit is electrically output and connected to the data comparison unit.
The modern intelligent education monitoring and management system according to claim 1, wherein the camera acquisition unit comprises:

camera probe;

an image acquisition unit, the electrical output of the camera probe is connected to the image acquisition unit;

an image processor, the image acquisition unit is electrically output and connected to the image processor;

a monitor and an image digital conversion unit, the image processor is respectively connected to the monitor and the image digital conversion unit by electrical output;

An image digital storage unit, the image digital conversion unit is electrically output and connected to the image digital storage unit.
The modern intelligent education monitoring and management system according to claim 1, wherein: the electronic school badge is powered by a button battery.
The modern intelligent education monitoring and management system according to claim 4, wherein: the campus network system compares the student's image and photo with the student's data through the data comparison unit, and sends the data to the mobile phone APP through the wireless communication unit, through the data comparison unit. The mobile APP terminal receives data.