CN113205439A - Big data-based student course escaping monitoring method and system - Google Patents

Big data-based student course escaping monitoring method and system Download PDF

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CN113205439A
CN113205439A CN202110630581.7A CN202110630581A CN113205439A CN 113205439 A CN113205439 A CN 113205439A CN 202110630581 A CN202110630581 A CN 202110630581A CN 113205439 A CN113205439 A CN 113205439A
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冯伟
韦鹏程
杨华千
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Chongqing University of Education
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Abstract

The application provides a student class escape monitoring method and system based on big data, a class monitoring terminal is used for sensing a student card or an intelligent terminal, a unique student ID corresponding to the student card or the intelligent terminal can be determined, and the unique student ID is matched and verified with a student list corresponding to a current class of a classroom; whether the intelligent terminal corresponding to the unique student ID exists in a preset range is searched, whether a student corresponding to the unique student ID finds a person for class is judged based on a search result, and when the student corresponding to the unique student ID finds the person for class is determined, the student is determined to be a class-escaping student. The mode can combine the student cards of the students and the intelligent terminals used by the student cards, so that whether the intelligent terminals and the student cards are in classrooms or not is identified by utilizing the condition that the mobile phones of the students are almost not away from the students, the course-replacing condition can be identified very efficiently, the wind of course replacement can be effectively struck, and the course escaping phenomenon is restrained.

Description

Big data-based student course escaping monitoring method and system
Technical Field
The application relates to the technical field of data processing, in particular to a student class escape monitoring method and system based on big data.
Background
Students in colleges and universities are easy to fly away during school learning, and the phenomenon that college students escape from classes is already common. Although this problem persists for many years, it has not been effectively solved, and often relies on manual means such as teacher roll call, class committee roll call, etc., which can reduce classroom efficiency.
At present, some ideas for solving problems exist, for example, a camera in a classroom is used for shooting a classroom picture in real time, and students in class are identified in a face identification mode, but in such a mode, the identification precision is not accurate enough, and the situation of false identification is easily caused (for example, the identity of the student cannot be identified due to problems such as shielding, and the false judgment is caused), so that the application standard is difficult to achieve. And the colleges and universities use the attendance system and adopt the mode of inputting the school numbers by students, but the phenomenon of false cheating is easily caused, and the problem of course escaping of the students is not solved. In addition, in order to avoid finding the escape class, some students ask other students to substitute for the class, even the code is marked, so that the 'substitute class' in high school is popular, the phenomenon greatly damages the learning wind, and the problem of escaping class is difficult to solve.
Disclosure of Invention
An object of the embodiment of the application is to provide a student escape monitoring method and system based on big data, so that students looking for people instead of courses or directly escaping courses can be efficiently and accurately identified, the lucky psychology of the students is broken, and the student escape is reduced as far as possible.
In order to achieve the above object, embodiments of the present application are implemented as follows:
in a first aspect, an embodiment of the present application provides a big data-based method for monitoring student escape, where each student has a corresponding student card, a unique student ID of the student is stored in the student card, each student has an intelligent terminal that establishes a unique correspondence with the unique student ID, and the method for monitoring student escape is applied to a classroom monitoring terminal that is set in a classroom, and the method includes: sensing a student card or an intelligent terminal, determining a unique student ID corresponding to the student card or the intelligent terminal, and performing matching verification on the unique student ID and a student list corresponding to the current class in the classroom; after the unique student ID is matched with the student list, searching whether an intelligent terminal corresponding to the unique student ID exists in a preset range or not, judging whether a student corresponding to the unique student ID changes for a lesson or not based on a search result, and when the student corresponding to the unique student ID changes for a lesson, determining that the student corresponding to the unique student ID is a lesson-escaping student; and when the preset time corresponding to the current class in the classroom is up, determining the unverified students in the student list as the class-escaping students of the current class.
In the embodiment of the application, a classroom monitoring terminal is used for sensing a student card or an intelligent terminal, so that a unique student ID corresponding to the student card or the intelligent terminal can be determined, and the unique student ID is matched and verified with a student list corresponding to a current classroom course of a classroom; after the unique student ID is matched with the student list, searching whether an intelligent terminal corresponding to the unique student ID exists in a preset range or not, judging whether a student corresponding to the unique student ID changes for a person or not on the basis of a search result, and when the student corresponding to the unique student ID changes for a person or lesson, determining that the student corresponding to the unique student ID is a student escaping from a lesson. Such a mode can unite student's student card and the intelligent terminal that its used (student card and intelligent terminal can substitute the use, thereby can provide very much facility), thereby utilize the condition that the student is nearly "the cell-phone is not left from one's body", discern whether intelligent terminal and student card are all in the classroom, thereby can discern the circumstances of riding instead of classes extremely high-efficiently, can effectively strike the wind of riding instead of classes, thereby restrain and flee for classes the phenomenon. And when the preset time (not the class leaving time) corresponding to the class-present course in the classroom is up, the unverified students on the student list are determined as the class-escaping students of the class-present course. Can effectively prevent to flee class student and carelessly sneak into the classroom when the mr and flee for class punishment through the mode of deceiving in order to evade in term effectively like this to can discern multiple way of fleeing for class more, accurately discern of fleeing for class. In addition, the method does not need to delay the time of the teacher in class, so that the classroom efficiency can be improved, and the mood of the teacher in class is ensured.
With reference to the first aspect, in a first possible implementation manner of the first aspect, when the classroom monitoring terminal senses that a student card is present, whether an intelligent terminal corresponding to the unique student ID exists in the preset search range is determined, and whether a student corresponding to the unique student ID finds a person for a substitute class is determined based on a search result, where the method includes: acquiring a terminal list which is kept connected with the wireless router within the preset range, and determining whether the terminal list contains an intelligent terminal corresponding to the unique student ID, wherein the wireless router within the preset range is a wireless router of which the WIFI coverage covers the classroom; when the terminal list contains the intelligent terminal corresponding to the unique student ID, determining that the student corresponding to the unique student ID does not find a person for replacing the class; when the intelligent terminal corresponding to the unique student ID is not contained in the terminal list, detecting Bluetooth information in a preset range, and determining whether the intelligent terminal corresponding to the unique student ID is contained according to the detected Bluetooth information; when the detected Bluetooth information contains the intelligent terminal corresponding to the unique student ID, determining that the student corresponding to the unique student ID does not find a person for a course; when the detected Bluetooth information does not contain the intelligent terminal corresponding to the unique student ID, whether the student corresponding to the unique student ID gives a change of course or not is determined according to the continuous monitoring of the intelligent terminal corresponding to the unique student ID in the current course period.
In this implementation manner, a terminal list that is kept connected to a wireless router (a WIFI coverage covers the classroom) within a preset range is obtained, and it is determined whether the terminal list includes an intelligent terminal corresponding to the unique student ID (for example, the terminal may be identified by an MAC address or other unique identification information of the intelligent terminal). And when the terminal list contains the intelligent terminal corresponding to the unique student ID, determining that the student corresponding to the unique student ID does not find a substitute course. And when the terminal list does not contain the intelligent terminal corresponding to the unique student ID, detecting Bluetooth information in a preset range, and determining whether the intelligent terminal corresponding to the unique student ID is contained according to the detected Bluetooth information. When the detected Bluetooth information contains the intelligent terminal corresponding to the unique student ID, the fact that the student corresponding to the unique student ID does not find a person for class replacement is determined. When the detected Bluetooth information does not contain the intelligent terminal corresponding to the unique student ID, whether the student corresponding to the unique student ID gives a change of course or not is determined according to the continuous monitoring of the intelligent terminal corresponding to the unique student ID in the current course period. Whether the student finds a person for a course or not is judged in such a mode, the probability of misjudgment can be reduced as far as possible, and the accuracy of identification of finding a person for a course by the student is improved.
With reference to the first possible implementation manner of the first aspect, in a second possible implementation manner of the first aspect, the classroom monitoring terminal is further connected to a server, the server is connected to the intelligent terminal corresponding to the unique student ID, and the determining, according to the continuous monitoring of the intelligent terminal corresponding to the unique student ID in the current class period, whether the student corresponding to the unique student ID gives a change to a lesson or not includes: sending a positioning request to the server so that the server sends a positioning instruction to the intelligent terminal corresponding to the unique student ID based on the positioning request and receives positioning information returned by the intelligent terminal corresponding to the unique student ID; receiving and storing the positioning information sent by the server; positioning and analyzing the positioning information of the intelligent terminal corresponding to the unique student ID acquired for multiple times in the current class period; if the positioning analysis result shows that the positioning pointing interval of the intelligent terminal corresponding to the unique student ID in the current class period exceeds different places with set distance, determining that the student corresponding to the unique student ID gives up a person for replacing classes; and if the positioning analysis result shows that the intelligent terminals corresponding to the unique student ID are all positioned to the places within the set distance range in the current class period, the students corresponding to the unique student ID are determined not to give a change to the class.
In this implementation, in the continuous monitoring within the class period, the server is used to acquire the positioning information of the intelligent terminal corresponding to the unique student ID, and the positioning information of the intelligent terminal corresponding to the unique student ID acquired for a plurality of times within the class period is subjected to positioning analysis: if the positioning analysis result shows that the positioning pointing interval of the intelligent terminal corresponding to the unique student ID in the current class period exceeds different places with set distance (the intelligent terminal of the student is moving, and the student can be almost determined to carry a mobile phone to move), determining that the student corresponding to the unique student ID gives a person for replacing a class; and if the positioning analysis result shows that the intelligent terminals corresponding to the unique student ID are all positioned to points within a set distance range in the current class period, the students corresponding to the unique student ID are determined not to give a change to classes. The situation that the student does not carry the mobile phone can be considered, and certainly, the situation can be further verified, for example, the situation that the student takes the card to go to class by combining the use information of the student card (whether the student card is swiped out of a dormitory door before the student card is used) can be further eliminated, and the identification accuracy is improved.
With reference to the first aspect, in a third possible implementation manner of the first aspect, when the classroom monitoring terminal senses that the intelligent terminal is an intelligent terminal, the intelligent terminal is an intelligent terminal corresponding to the unique student ID, whether the intelligent terminal corresponding to the unique student ID exists in the search preset range is determined, and whether a student corresponding to the unique student ID finds a person for a lesson or not is determined based on a search result, where the method includes: after a preset time interval with the time point sensed by the intelligent terminal, acquiring a terminal list which is kept connected with the wireless router in the preset range, and determining whether the terminal list contains the intelligent terminal corresponding to the unique student ID, wherein the wireless router in the preset range is a wireless router of which the WIFI coverage covers the classroom; when the intelligent terminal corresponding to the unique student ID is not contained in the terminal list, detecting Bluetooth information in a preset range, and determining whether the intelligent terminal corresponding to the unique student ID is contained according to the detected Bluetooth information; when the terminal list contains the intelligent terminal corresponding to the unique student ID, or when the detected Bluetooth information contains the intelligent terminal corresponding to the unique student ID, obtaining the use information of the student card corresponding to the unique student ID in the current class period, and determining whether the student corresponding to the unique student ID gives a change to a class or not according to the use information; and when the detected Bluetooth information does not contain the intelligent terminal corresponding to the unique student ID, determining the student corresponding to the unique student ID as a course escaping student.
In the implementation mode, when the classroom monitoring terminal senses that the intelligent terminal is used, after the preset time interval with the time point sensed by the intelligent terminal, a terminal list which is connected with a wireless router (a WIFI coverage area covers the classroom) in a preset range is obtained, and whether the intelligent terminal corresponding to the unique student ID is included in the terminal list is determined. Therefore, the condition that the student slips after signing can be mainly checked, when the terminal list does not contain the intelligent terminal corresponding to the unique student ID, the Bluetooth information in a preset range is detected, and whether the intelligent terminal corresponding to the unique student ID is contained or not is determined according to the detected Bluetooth information; when the intelligent terminal corresponding to the unique student ID is contained in the terminal list or when the intelligent terminal corresponding to the unique student ID is contained in the detected Bluetooth information, the use information of the student card corresponding to the unique student ID in the class period of the class is obtained, and whether the student corresponding to the unique student ID gives a change of classes or not is determined according to the use information. And when the detected Bluetooth information does not contain the intelligent terminal corresponding to the unique student ID, determining the student corresponding to the unique student ID as a class escaping student. The student class replacing phenomenon can be further checked by combining the use information of the student card in the current class period (for example, the spare machine is specially taken as a means for signing in the class replacing phenomenon), so that the class replacing situation can be accurately identified.
With reference to the third possible implementation manner of the first aspect, in a fourth possible implementation manner of the first aspect, the determining, according to the usage information, whether the student corresponding to the unique student ID finds a person for a lesson includes: judging whether the use information is empty or not; if the use information is not null, determining the student finding class corresponding to the unique student ID; and if the use information is null, determining that the student corresponding to the unique student ID does not find a person for replacing the class.
In this implementation, if the usage information of the student card in the current class period is not empty, it indicates that the student is using the student card, rather than in class, and thus determines that the student corresponding to the unique student ID gives a change to the class. Therefore, the condition that the student finds the person for the lesson to escape can be further identified.
In a second aspect, an embodiment of the present application provides a big data-based student class escape monitoring system, where each student has a corresponding student card, a unique student ID of the student is stored in the student card, and each student has an intelligent terminal that establishes a unique correspondence with the unique student ID, the system includes: the classroom monitoring terminal is arranged in a classroom and used for sensing a student card or an intelligent terminal, determining a unique student ID corresponding to the student card or the intelligent terminal and matching and verifying the unique student ID and a student list corresponding to a current classroom course of the classroom; after the unique student ID is matched with the student list, searching whether an intelligent terminal corresponding to the unique student ID exists in a preset range or not, judging whether a student corresponding to the unique student ID finds a person for class replacement or not based on a search result, and when the student corresponding to the unique student ID finds the person for class replacement is determined, determining that the student corresponding to the unique student ID is a class escape student; and when the preset time corresponding to the class-in course in the classroom is up, determining the unverified students in the student list as class-escaping students of the class-in course.
With reference to the second aspect, in a first possible implementation manner of the second aspect, the system further includes a wireless router within a preset range, a WIFI coverage of the wireless router covers the classroom, and the classroom monitoring terminal is further configured to send a list acquisition request to the wireless router; the wireless router is used for acquiring a request based on the list and sending a terminal name list which is kept connected with the wireless router to the classroom monitoring terminal; the classroom monitoring terminal is also used for determining whether the terminal list contains the intelligent terminal corresponding to the unique student ID; when the terminal list contains the intelligent terminal corresponding to the unique student ID, determining that the student corresponding to the unique student ID does not find a person for replacing the class; when the intelligent terminal corresponding to the unique student ID is not contained in the terminal list, detecting Bluetooth information in a preset range, and determining whether the intelligent terminal corresponding to the unique student ID is contained according to the detected Bluetooth information; when the detected Bluetooth information contains the intelligent terminal corresponding to the unique student ID, determining that the student corresponding to the unique student ID does not find a person for a course; when the detected Bluetooth information does not contain the intelligent terminal corresponding to the unique student ID, whether the student corresponding to the unique student ID gives a change of course or not is determined according to the continuous monitoring of the intelligent terminal corresponding to the unique student ID in the current course period.
With reference to the first possible implementation manner of the second aspect, in a second possible implementation manner of the second aspect, the system further includes a server, where the classroom monitoring terminal is connected to the server, the server is connected to the intelligent terminal corresponding to the unique student ID, and the classroom monitoring terminal is further configured to send a location request to the server; the server is used for sending a positioning instruction to the intelligent terminal corresponding to the unique student ID based on the positioning request, receiving positioning information returned by the intelligent terminal corresponding to the unique student ID, and sending the positioning information to the classroom monitoring terminal; the classroom monitoring terminal is also used for storing the positioning information and performing positioning analysis on the positioning information of the intelligent terminal corresponding to the unique student ID acquired for multiple times in the current class period; if the positioning analysis result shows that the positioning pointing interval of the intelligent terminal corresponding to the unique student ID in the current class period exceeds different places with set distance, determining that the student corresponding to the unique student ID gives up a person for replacing classes; and if the positioning analysis result shows that the intelligent terminals corresponding to the unique student ID are all positioned to the places within the set distance range in the current class period, the students corresponding to the unique student ID are determined not to give a change to the class.
With reference to the second aspect, in a third possible implementation manner of the second aspect, the system further includes a wireless router within a preset range, a WIFI coverage of the wireless router covers the classroom, when the classroom monitoring terminal senses that the intelligent terminal is an intelligent terminal, the intelligent terminal is an intelligent terminal corresponding to the unique student ID, and the classroom monitoring terminal is further configured to send a list acquisition request to the wireless router after a preset time interval is set between a time point sensed by the intelligent terminal and the time point; the wireless router is used for acquiring a request based on the list and sending a terminal name list which is kept connected with the wireless router to the classroom monitoring terminal; the classroom monitoring terminal is also used for determining whether the terminal list contains an intelligent terminal corresponding to the unique student ID, wherein the wireless router in the preset range covers the classroom in a WIFI coverage range; when the intelligent terminal corresponding to the unique student ID is not contained in the terminal list, detecting Bluetooth information in a preset range, and determining whether the intelligent terminal corresponding to the unique student ID is contained according to the detected Bluetooth information; when the terminal list contains the intelligent terminal corresponding to the unique student ID, or when the detected Bluetooth information contains the intelligent terminal corresponding to the unique student ID, obtaining the use information of the student card corresponding to the unique student ID in the current class period, and determining whether the student corresponding to the unique student ID gives a change to a class or not according to the use information; and when the detected Bluetooth information does not contain the intelligent terminal corresponding to the unique student ID, determining the student corresponding to the unique student ID as a course escaping student.
With reference to the third possible implementation manner of the second aspect, in a fourth possible implementation manner of the second aspect, the classroom monitoring terminal is further configured to determine whether the usage information is empty; if the use information is not null, determining the student finding class corresponding to the unique student ID; and if the use information is null, determining that the student corresponding to the unique student ID does not find a person for replacing the class.
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is a schematic diagram of a student class escape monitoring system based on big data according to an embodiment of the present application.
Fig. 2 is a flowchart of a student course escaping monitoring method based on big data according to an embodiment of the present application.
Icon: 100-big data based student escape monitoring system 100; 110-classroom monitoring terminal 110; 120-wireless router 120; 130-server 130; 200-an intelligent terminal; 300-student card.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
In order to facilitate understanding of the present solution, a brief introduction is made herein to an application environment of the present solution.
Each student in the school has a corresponding student card, a unique student ID of the student is stored in the student card (for example, the student card may be a radio frequency card, and a corresponding unique student ID is stored in the student card), and each student has an intelligent terminal which establishes a unique correspondence with the unique student ID. The student card and the intelligent terminal can be used instead, but when the student card and the intelligent terminal are used specifically, the device for acquiring the unique student ID can identify whether the student card or the intelligent terminal (such as a smart phone) is used. And, some or all identification devices have the camera to carry out face identification, verify that student card or smart mobile phone correspond only student ID for student oneself, for example, access control of library, access control of dormitory, access control of school's door etc..
In addition, the intelligent terminal corresponding to the unique student ID can be unbound (so as to deal with the situations of replacement, loss and the like of the intelligent terminal); the use information of the student card can be sent to the intelligent terminal corresponding to the unique student ID, and the intelligent terminal corresponding to the unique student ID can also apply for operations such as loss reporting of the student card corresponding to the unique student ID, so that the convenience degree of the student card in actual use is improved.
Based on this, the embodiment of the present application provides a student escape monitoring system 100 based on big data. Referring to fig. 1, fig. 1 is a schematic diagram of a student class escape monitoring system 100 based on big data according to an embodiment of the present disclosure.
In the present embodiment, for convenience of illustration, a classroom is taken as an example, and the big-data-based student escape monitoring system 100 may include a classroom monitoring terminal 110 disposed in the classroom, a wireless router 120 disposed in the classroom (or around the classroom, such as a corridor), and a server 130.
The classroom monitoring terminal 110 can be connected with one or more wireless routers 120 within a preset range (the WIFI coverage of which covers the classroom), that is, not only the wireless router 120 corresponding to the classroom belongs to the wireless router 120 within the preset range, but also the wireless router 120 in a classroom near the classroom may belong to the wireless router 120 within the preset range, as long as the WIFI coverage of the wireless router covers the classroom. The classroom monitoring terminal 110 can also be connected to the server 130, and the server 130 can be connected to the intelligent terminal 200 (as long as the intelligent terminal 200 bound with the unique student ID is connected to the server 130), so as to implement communication between the classroom monitoring terminal 110 and the intelligent terminal 200 (or, the classroom monitoring terminal 110 can obtain some information of the intelligent terminal 200 through the server 130, for example, positioning information, use information of the unique student ID, and the like). Of course, the connection between the classroom monitoring terminal 110 and the server 130 can also ensure that the server 130 sends the classroom table, the class attendance period, the student list and the like to the classroom monitoring terminal 110 in real time so as to update the information of the classroom monitoring terminal 110 in real time.
Since the function of the big data based student escape monitoring system 100 is mainly realized by the classroom monitoring terminal 110 executing the big data based student escape monitoring method, the big data based student escape monitoring method will be described in detail below.
Referring to fig. 2, fig. 2 is a flowchart of a big data-based student class escape monitoring method according to an embodiment of the present application. In the present embodiment, the big data based student escape monitoring method may include steps S10, S20, and S30.
Before (or during) a class, a student can enter the classroom by swiping the student card 300 (containing a unique student ID) or the smart terminal 200 (establishing a unique correspondence with the unique student ID) at the classroom monitoring terminal 110 set in the classroom.
Then, the classroom monitoring terminal 110 of the classroom can perform step S10.
Step S10: and sensing the student card or the intelligent terminal, determining a unique student ID corresponding to the student card or the intelligent terminal, and matching and verifying the unique student ID and a student list corresponding to the current class in the classroom.
In this embodiment, the classroom monitoring terminal 110 can sense the student card 300 or the intelligent terminal 200, so as to determine the unique student ID corresponding to the student card 300 or the intelligent terminal 200. For example, the unique student ID stored in the student card 300 is read, or the unique student ID uniquely corresponding to the unique identification information is determined by acquiring the unique identification information (for example, MAC address) of the smart terminal 200, which is not limited herein.
After obtaining the unique student ID, the classroom monitoring terminal 110 can perform matching verification on the unique student ID and the list of students corresponding to the current class in the classroom. Of course, the students who pass the verification here are not regarded as non-lesson-escaping students, but need to follow a continuous monitoring and judging process to determine whether the students on the student list escape.
In practice, however, once the student who passes the verification is determined to be a student who finds a person instead of a class or a student who escapes the class in the subsequent monitoring process, the state of the student can be changed to determine the student who escapes the class, and the present invention is not limited herein.
Upon determining that the unique student ID matches the student list (i.e., the student list has a unique student ID of a student corresponding to the unique student ID), the classroom monitoring terminal 110 can execute step S20.
Step S20: searching whether an intelligent terminal corresponding to the unique student ID exists in a preset range, judging whether a student corresponding to the unique student ID finds a person for class substitution or not based on a search result, and determining that the student corresponding to the unique student ID is a class escaping student when determining that the student corresponding to the unique student ID finds a person for class substitution.
In this embodiment, the classroom monitoring terminal 110 can search whether the intelligent terminal 200 corresponding to the unique student ID exists within a preset range, and determine whether the student corresponding to the unique student ID finds a person for class based on the search result. Since the processing manner of the classroom monitoring terminal 110 is different for different sensing objects (the student card 300 or the intelligent terminal 200), two cases will be separately described here.
First, in the case that the sensing object is the student card 300 (when the classroom monitoring terminal 110 senses that the student card 300 is), the classroom monitoring terminal 110 can obtain a terminal list which is kept connected with the wireless router 120 within a preset range.
For example, the classroom monitoring terminal 110 can send a list acquisition request to the wireless router 120 within the preset range, and the wireless router 120 within the preset range can send a terminal name list, which is kept connected with the wireless router 120, to the classroom monitoring terminal 110 based on the list acquisition request. Of course, there may be more than one terminal list acquired by the classroom monitoring terminal 110 (when there are multiple terminal lists, the terminal lists are originated from different wireless routers 120), and the terminal list includes unique identification information of each intelligent terminal 200 that remains connected to the terminal list.
After obtaining the terminal list, the classroom monitoring terminal 110 can determine whether the terminal list includes the intelligent terminal 200 corresponding to the unique student ID (which can be determined by matching).
When the terminal list includes the intelligent terminal 200 corresponding to the unique student ID, it indicates that the student card 300 and the intelligent terminal 200 of the student are both in the classroom, and the classroom monitoring terminal 110 can determine that the student corresponding to the unique student ID has not found a person for a course.
When the terminal list does not contain the intelligent terminal 200 corresponding to the unique student ID, the classroom monitoring terminal 110 can detect the bluetooth information within the preset range in consideration of the fact that the intelligent terminal 200 is not connected with WIFI, and determine whether the intelligent terminal 200 corresponding to the unique student ID is contained according to the detected bluetooth information.
When the detected bluetooth information includes the intelligent terminal 200 corresponding to the unique student ID, it can be also described that the student card 300 and the intelligent terminal 200 of the student are both in the classroom (because WIFI and bluetooth are both short-distance communication modes, so verification can be performed in this way), and the classroom monitoring terminal 110 can determine that the student corresponding to the unique student ID does not find someone to replace classes.
Whether the student finds a person for a course or not is judged in such a way, the probability of misjudgment can be reduced as much as possible, and the accuracy of identification of the student finding the person for the course (under the condition) is improved.
When the detected bluetooth information does not include the intelligent terminal 200 corresponding to the unique student ID, in order to prevent misjudgment, the classroom monitoring terminal 110 can determine whether the student corresponding to the unique student ID gives a change to the student according to the continuous monitoring of the intelligent terminal 200 corresponding to the unique student ID in the current class period.
For example, the classroom monitoring terminal 110 can send a positioning request to the server 130, and the server 130 can send a positioning instruction to the intelligent terminal 200 corresponding to the unique student ID based on the positioning request and receive positioning information returned by the intelligent terminal 200 corresponding to the unique student ID. And, the server 130 may transmit the location information to the classroom monitoring terminal 110.
Then, the classroom monitoring terminal 110 can store the received positioning information and perform positioning analysis on the positioning information of the intelligent terminal 200 corresponding to the unique student ID acquired multiple times in the current class period.
For example, the classroom monitoring terminal 110 can determine whether the location in the location analysis result is a teaching building in which the classroom is located, and if so, can determine that the student corresponding to the unique student ID does not find a person for class replacement. If not, the classroom monitoring terminal 110 can further analyze.
For example, when the location in the location analysis result is not the teaching building in which the classroom is located, the classroom monitoring terminal 110 can determine, by combining the location analysis results of the location information obtained multiple times in the current class period, whether the location pointed locations of the intelligent terminal 200 corresponding to the unique student ID in the current class period are spaced by more than a set distance, so as to determine whether the intelligent terminal 200 corresponding to the unique student ID moves in the current class period.
If the positioning analysis result indicates that the positioning pointing interval of the intelligent terminal 200 corresponding to the unique student ID in the current class period exceeds the different locations of the set distance, it indicates that the distance span of the intelligent terminal 200 corresponding to the unique student ID moving in the current class period is large, and the result is that the student himself carries the intelligent terminal 200 to move, so that the classroom monitoring terminal 110 can determine that the student corresponding to the unique student ID finds the person for the substitute class.
If the positioning analysis result indicates that the positions of the intelligent terminal 200 corresponding to the unique student ID in the current class period all point to the places within the set distance range, it indicates that the intelligent terminal 200 corresponding to the unique student ID does not move in the current class period, and the student should put his intelligent terminal 200 somewhere (for example, in a dormitory), so that the classroom monitoring terminal 110 can determine that the student corresponding to the unique student ID does not find a person for a course.
Therefore, the condition that the student does not carry the mobile phone can be considered, the accuracy of identification of finding a lesson (the condition) for the student is further ensured, and the misjudgment rate is reduced.
Of course, in order to further improve the accuracy of identification and reduce the misjudgment rate for such a situation, the classroom monitoring terminal 110 can further perform judgment in combination with the use information of the student card 300. For example, the classroom monitoring terminal 110 can also obtain the use information of the student card 300 and the intelligent terminal 200 corresponding to the unique student ID on the current day and the previous day, and if neither the student card 300 nor the intelligent terminal 200 contains the use information of a one-way dormitory (or one-way out of a library, or one-way school entrance) (where the one-way dormitory indicates that the student enters the dormitory but does not exit the dormitory at the latest time, the one-way out of the library indicates that the student enters the library but does not exit the dormitory at the latest time, and the one-way school entrance indicates that the student enters the school but does not enter the school at the latest time). Thus, the classroom monitoring terminal 110 can determine whether the student card 300 of the student is being swiped in the classroom for another person to carry based on the usage information of the student card 300 and the smart terminal 200. Therefore, the condition of looking for a person instead of a class or signing on a lesson can be further checked, and the accuracy of identification is improved.
It should be noted that, in the case that the sensing object is the student card 300, the classroom monitoring terminal 110 can perform multiple monitoring within the current class period to deal with the situation that the student moves back early (or slides away after swiping the card), so as to accurately identify the student card. Of course, for the case that there is inconsistency in the results of multiple monitoring, specifically how to define the course escape or non-course escape, corresponding determination logic may be adopted to determine, for example, when the results at several specific times (for example, when the initial stage, the middle stage, and the end stage of the class period) are consistent and indicate that the course escapes, it may be determined that the students are non-course-escape students, and the determination is not limited herein.
Secondly, for the case that the sensing object is the intelligent terminal 200 (when the intelligent terminal 200 is sensed by the classroom monitoring terminal 110), after a preset time interval (for example, 5 minutes, 10 minutes, and the like) is set between the sensing time point and the intelligent terminal 200, the classroom monitoring terminal 110 can obtain a terminal list which is kept connected with the wireless router 120 within a preset range. Of course, the manner in which the classroom monitoring terminal 110 obtains the terminal list may refer to the foregoing, and is not described herein again. Therefore, the condition that the student slides after being signed can be mainly checked.
Then, the classroom monitoring terminal 110 can determine whether the terminal list contains the intelligent terminal 200 corresponding to the unique student ID. When the terminal list does not include the intelligent terminal 200 corresponding to the unique student ID, the classroom monitoring terminal 110 can continue to detect the bluetooth information within the preset range, and determine whether the intelligent terminal 200 corresponding to the unique student ID is included according to the detected bluetooth information.
When the detected bluetooth information does not include the intelligent terminal 200 corresponding to the unique student ID, the classroom monitoring terminal 110 can determine that the student corresponding to the unique student ID is a student escaping from the class.
When the terminal list includes the intelligent terminal 200 corresponding to the unique student ID, or when the detected bluetooth information includes the intelligent terminal 200 corresponding to the unique student ID, the classroom monitoring terminal 110 can acquire the use information of the student card 300 corresponding to the unique student ID in the current class period (because the intelligent terminal 200 corresponding to the unique student ID is in the classroom, it is not necessary to acquire the use information of the intelligent terminal 200 corresponding to the unique student ID), and determine whether the student corresponding to the unique student ID finds a person for a substitute class according to the use information.
This enables further examination of the student's course-substituting phenomenon (e.g., taking a standby machine exclusively as a means of signing in for a course) in conjunction with the usage information of the student card 300 during the course period of the present class, thereby accurately recognizing the course-substituting situation.
For example, the classroom monitoring terminal 110 can determine whether the student corresponding to the unique student ID finds a person for a course according to the usage information in the following manner:
the classroom monitoring terminal 110 can determine whether the usage information is empty.
If the usage information is not empty, it indicates that the student card 300 is used in the current class period (especially, the usage information on the device that needs to perform biometric information verification, biometric information such as human face, fingerprint, etc.), which indicates that the student corresponding to the unique student ID is not in the classroom, so the classroom monitoring terminal 110 can determine that the student corresponding to the unique student ID finds someone for lessons.
If the usage information is empty, the classroom monitoring terminal 110 can determine that the student corresponding to the unique student ID has not found a person for a course.
After determining that the student who is on the list of students is a lesson-escaping student, the classroom monitoring terminal 110 can determine that the student corresponding to the unique student ID of the lesson-substituting student is a lesson-escaping student. It should be noted that the student in class presented in this embodiment refers to a student who wants to escape from class and find a person to take a class instead.
Thereafter, the classroom monitoring terminal 110 can execute step S30.
Step S30: and when the preset time corresponding to the current class in the classroom is up, determining the unverified students in the student list as the class-escaping students of the current class.
In this embodiment, the classroom monitoring terminal 110 can determine that the unverified student in the student list is the student who escapes the class in the current class when the preset time corresponding to the current class is reached. The preset time here is not the time of the next lesson but is a time point within the class period, for example, 20 minutes after the beginning of the lesson (or 15 minutes, or 30 minutes, etc., set as needed).
In addition, in some possible implementation manners, in order to more accurately identify the situation of finding a student for a course and prevent misjudgment, the classroom monitoring terminal 110 may further include a camera, after some students are determined by the classroom monitoring terminal 110 to be a course substitute, a list of course substitute students is generated and sent to a terminal used by a teacher (for example, a terminal in the classroom used by the teacher), which students have been notified by the teacher, and the terminals are taken by the course substitute students for face recognition and correction. Of course, the time of transmission may be one minute before the next class, so that the student is not given the opportunity to react (the student is prevented from learning to come to face verification). Of course, if such supplementary measures are to be used, some preventive measures are required to be correspondingly set, so that some students are prevented from drilling empty, and obviously know that the students find themselves for the course, feel the classroom before going to the class, and mix in the classroom for face recognition to change the escape state.
And, the classroom monitoring terminal 110 and the server are used to obtain the positioning information of the intelligent terminal 200, and can also be used for positioning after the student mobile phone is lost (if the intelligent terminal 200 is in a power-on state) so as to retrieve the positioning information. The obtaining of the use information of the student card 300 by using the classroom monitoring terminal 110 can also be used for checking and retrieving the balance in the student card when the student card is lost, and details are not described here.
In summary, the present application embodiment provides a big data-based method and system for monitoring a student's lesson escaping, which utilize a classroom monitoring terminal 110 to sense a student card 300 or an intelligent terminal 200, so as to determine a unique student ID corresponding to the student card 300 or the intelligent terminal 200, and perform matching verification on the unique student ID and a student list corresponding to a current classroom course in the classroom; after the unique student ID is matched with the student list, searching whether the intelligent terminal 200 corresponding to the unique student ID exists in a preset range, judging whether the student corresponding to the unique student ID changes for a lesson or not based on a searching result, and when the student corresponding to the unique student ID changes for a lesson, determining that the student corresponding to the unique student ID is a lesson-escaping student. Such a mode can unite student's student card 300 and the intelligent terminal 200 that it used (student card 300 and intelligent terminal 200 can substitute the use, thereby can provide very much convenience), thereby utilize the condition that the student nearly "cell-phone is not left from" the body, discern whether intelligent terminal 200 and student card 300 are all in the classroom, thereby can discern the circumstances of riding instead of classes extremely high-efficiently, can effectively strike the wind of riding instead of classes, thereby restrain the phenomenon of escaping classes. And when the preset time (not the class leaving time) corresponding to the class-present course in the classroom is up, the unverified students on the student list are determined as the class-escaping students of the class-present course. Can effectively prevent to flee class student and carelessly sneak into the classroom when the mr and flee for class punishment through the mode of deceiving in order to evade in term effectively like this to can discern multiple way of fleeing for class more, accurately discern of fleeing for class. In addition, the method does not need to delay the time of the teacher in class, so that the classroom efficiency can be improved, and the mood of the teacher in class is ensured.
In the embodiments provided in the present application, it should be understood that the disclosed method can be implemented in other ways. In this document, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.
The above description is only an example of the present application and is not intended to limit the scope of the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims (10)

1. A big data-based student class escape monitoring method, wherein each student has a corresponding student card, a unique student ID of the student is stored in the student card, each student has an intelligent terminal establishing a unique correspondence with the unique student ID, the student class escape monitoring method is applied to a classroom monitoring terminal provided in a classroom, the method comprises:
sensing a student card or an intelligent terminal, determining a unique student ID corresponding to the student card or the intelligent terminal, and performing matching verification on the unique student ID and a student list corresponding to the current class in the classroom;
after the unique student ID is matched with the student list, searching whether an intelligent terminal corresponding to the unique student ID exists in a preset range or not, judging whether a student corresponding to the unique student ID changes for a lesson or not based on a search result, and when the student corresponding to the unique student ID changes for a lesson, determining that the student corresponding to the unique student ID is a lesson-escaping student;
and when the preset time corresponding to the current class in the classroom is up, determining the unverified students in the student list as the class-escaping students of the current class.
2. The big data-based student class escape monitoring method according to claim 1, wherein when the classroom monitoring terminal senses that the student card is present, whether the intelligent terminal corresponding to the unique student ID exists in the preset search range is searched, and whether the student corresponding to the unique student ID finds a person for class replacement is judged based on the search result, including:
acquiring a terminal list which is kept connected with the wireless router within the preset range, and determining whether the terminal list contains an intelligent terminal corresponding to the unique student ID, wherein the wireless router within the preset range is a wireless router of which the WIFI coverage covers the classroom;
when the terminal list contains the intelligent terminal corresponding to the unique student ID, determining that the student corresponding to the unique student ID does not find a person for replacing the class;
when the intelligent terminal corresponding to the unique student ID is not contained in the terminal list, detecting Bluetooth information in a preset range, and determining whether the intelligent terminal corresponding to the unique student ID is contained according to the detected Bluetooth information;
when the detected Bluetooth information contains the intelligent terminal corresponding to the unique student ID, determining that the student corresponding to the unique student ID does not find a person for a course;
when the detected Bluetooth information does not contain the intelligent terminal corresponding to the unique student ID, whether the student corresponding to the unique student ID gives a change of course or not is determined according to the continuous monitoring of the intelligent terminal corresponding to the unique student ID in the current course period.
3. The big data-based student class escape monitoring method according to claim 2, wherein the classroom monitoring terminal is further connected to a server, the server is connected to the intelligent terminal corresponding to the unique student ID, and the method for determining whether the student corresponding to the unique student ID gives a change to a class or not according to the continuous monitoring of the intelligent terminal corresponding to the unique student ID in the current class period comprises:
sending a positioning request to the server so that the server sends a positioning instruction to the intelligent terminal corresponding to the unique student ID based on the positioning request and receives positioning information returned by the intelligent terminal corresponding to the unique student ID;
receiving and storing the positioning information sent by the server;
positioning and analyzing the positioning information of the intelligent terminal corresponding to the unique student ID acquired for multiple times in the current class period;
if the positioning analysis result shows that the positioning pointing interval of the intelligent terminal corresponding to the unique student ID in the current class period exceeds different places with set distance, determining that the student corresponding to the unique student ID gives up a person for replacing classes;
and if the positioning analysis result shows that the intelligent terminals corresponding to the unique student ID are all positioned to the places within the set distance range in the current class period, the students corresponding to the unique student ID are determined not to give a change to the class.
4. The big data-based student class escape monitoring method according to claim 1, wherein when the classroom monitoring terminal senses that the intelligent terminal is an intelligent terminal corresponding to the unique student ID, the intelligent terminal corresponding to the unique student ID is searched for in a preset range, whether the intelligent terminal corresponding to the unique student ID exists or not is judged, and whether the student corresponding to the unique student ID finds a person for a course or not is judged based on the search result, including:
after a preset time interval with the time point sensed by the intelligent terminal, acquiring a terminal list which is kept connected with the wireless router in the preset range, and determining whether the terminal list contains the intelligent terminal corresponding to the unique student ID, wherein the wireless router in the preset range is a wireless router of which the WIFI coverage covers the classroom;
when the intelligent terminal corresponding to the unique student ID is not contained in the terminal list, detecting Bluetooth information in a preset range, and determining whether the intelligent terminal corresponding to the unique student ID is contained according to the detected Bluetooth information;
when the terminal list contains the intelligent terminal corresponding to the unique student ID, or when the detected Bluetooth information contains the intelligent terminal corresponding to the unique student ID, obtaining the use information of the student card corresponding to the unique student ID in the current class period, and determining whether the student corresponding to the unique student ID gives a change to a class or not according to the use information;
and when the detected Bluetooth information does not contain the intelligent terminal corresponding to the unique student ID, determining the student corresponding to the unique student ID as a course escaping student.
5. The big data based student class escape monitoring method as claimed in claim 4, wherein said determining whether the student corresponding to the unique student ID finds a person for a course according to the usage information comprises:
judging whether the use information is empty or not;
if the use information is not null, determining the student finding class corresponding to the unique student ID;
and if the use information is null, determining that the student corresponding to the unique student ID does not find a person for replacing the class.
6. A big data based student class escape monitoring system, wherein each student has a corresponding student card, a unique student ID of the student is stored in the student card, and each student has an intelligent terminal establishing a unique correspondence with the unique student ID, the system comprising:
the classroom monitoring terminal is arranged in a classroom and used for sensing a student card or an intelligent terminal, determining a unique student ID corresponding to the student card or the intelligent terminal and matching and verifying the unique student ID and a student list corresponding to a current classroom course of the classroom; after the unique student ID is matched with the student list, searching whether an intelligent terminal corresponding to the unique student ID exists in a preset range or not, judging whether a student corresponding to the unique student ID finds a person for class replacement or not based on a search result, and when the student corresponding to the unique student ID finds the person for class replacement is determined, determining that the student corresponding to the unique student ID is a class escape student; and when the preset time corresponding to the class-in course in the classroom is up, determining the unverified students in the student list as class-escaping students of the class-in course.
7. The big data based student escape monitoring system as claimed in claim 6, wherein said system further comprises a wireless router within a preset range, said wireless router having a WIFI coverage covering the classroom,
the classroom monitoring terminal is also used for sending a list acquisition request to the wireless router;
the wireless router is used for acquiring a request based on the list and sending a terminal name list which is kept connected with the wireless router to the classroom monitoring terminal;
the classroom monitoring terminal is also used for determining whether the terminal list contains the intelligent terminal corresponding to the unique student ID; when the terminal list contains the intelligent terminal corresponding to the unique student ID, determining that the student corresponding to the unique student ID does not find a person for replacing the class; when the intelligent terminal corresponding to the unique student ID is not contained in the terminal list, detecting Bluetooth information in a preset range, and determining whether the intelligent terminal corresponding to the unique student ID is contained according to the detected Bluetooth information; when the detected Bluetooth information contains the intelligent terminal corresponding to the unique student ID, determining that the student corresponding to the unique student ID does not find a person for a course; when the detected Bluetooth information does not contain the intelligent terminal corresponding to the unique student ID, whether the student corresponding to the unique student ID gives a change of course or not is determined according to the continuous monitoring of the intelligent terminal corresponding to the unique student ID in the current course period.
8. The big data based student class escape monitoring system according to claim 7, further comprising a server, wherein the class monitoring terminal is connected to the server, the server is connected to the intelligent terminal corresponding to the unique student ID,
the classroom monitoring terminal is also used for sending a positioning request to the server;
the server is used for sending a positioning instruction to the intelligent terminal corresponding to the unique student ID based on the positioning request, receiving positioning information returned by the intelligent terminal corresponding to the unique student ID, and sending the positioning information to the classroom monitoring terminal;
the classroom monitoring terminal is also used for storing the positioning information and performing positioning analysis on the positioning information of the intelligent terminal corresponding to the unique student ID acquired for multiple times in the current class period; if the positioning analysis result shows that the positioning pointing interval of the intelligent terminal corresponding to the unique student ID in the current class period exceeds different places with set distance, determining that the student corresponding to the unique student ID gives up a person for replacing classes; and if the positioning analysis result shows that the intelligent terminals corresponding to the unique student ID are all positioned to the places within the set distance range in the current class period, the students corresponding to the unique student ID are determined not to give a change to the class.
9. The big data based student class escape monitoring system as claimed in claim 6, wherein said system further comprises a wireless router with a predefined coverage area, said wireless router having a WIFI coverage area covering the classroom, when said classroom monitoring terminal senses the intelligent terminal, said intelligent terminal is the intelligent terminal corresponding to the unique student ID,
the classroom monitoring terminal is also used for sending a list acquisition request to the wireless router after a preset time interval with the time point sensed by the intelligent terminal;
the wireless router is used for acquiring a request based on the list and sending a terminal name list which is kept connected with the wireless router to the classroom monitoring terminal;
the classroom monitoring terminal is also used for determining whether the terminal list contains an intelligent terminal corresponding to the unique student ID, wherein the wireless router in the preset range covers the classroom in a WIFI coverage range; when the intelligent terminal corresponding to the unique student ID is not contained in the terminal list, detecting Bluetooth information in a preset range, and determining whether the intelligent terminal corresponding to the unique student ID is contained according to the detected Bluetooth information; when the terminal list contains the intelligent terminal corresponding to the unique student ID, or when the detected Bluetooth information contains the intelligent terminal corresponding to the unique student ID, obtaining the use information of the student card corresponding to the unique student ID in the current class period, and determining whether the student corresponding to the unique student ID gives a change to a class or not according to the use information; and when the detected Bluetooth information does not contain the intelligent terminal corresponding to the unique student ID, determining the student corresponding to the unique student ID as a course escaping student.
10. The big data based student class escape monitoring system according to claim 9, wherein the classroom monitoring terminal is further configured to determine whether the usage information is empty; if the use information is not null, determining the student finding class corresponding to the unique student ID; and if the use information is null, determining that the student corresponding to the unique student ID does not find a person for replacing the class.
CN202110630581.7A 2021-06-07 2021-06-07 Big data-based student course escaping monitoring method and system Pending CN113205439A (en)

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CN107784703A (en) * 2017-10-31 2018-03-09 新华三技术有限公司 A kind of check class attendance method, apparatus, electronic equipment and readable storage medium storing program for executing
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