CN117408847A - Intelligent school service management system based on 5G core network - Google Patents
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Abstract
The invention provides a 5G core network-based intelligent school service management system, which relates to the field of electric digital data processing and comprises a front end acquisition module, a 5G transmission module, an intelligent analysis module and a school service processing module, wherein the front end acquisition module is used for acquiring real-time video data information, the 5G transmission module is used for constructing a core network and transmitting the video data to the intelligent analysis module, the intelligent analysis module is used for analyzing the video data, and the school service processing module is used for carrying out corresponding intelligent school service management processing based on an analysis result; the system can analyze videos shot in real time, timely send analysis results to corresponding teachers, and better study and safety management.
Description
Technical Field
The invention relates to the field of electric digital data processing, in particular to a school intelligent management system based on a 5G core network.
Background
In the aspect of learning, a teacher cannot master the learning state of each student in real time in class, and in the aspect of safety, a safety event occurring among students can not be known by the teacher, video intelligent analysis can exactly compensate the two defects, and in order to better process videos, a 5G technology is adopted as a transmission means, so that information is transmitted more timely, and a school intelligent management system is arranged on the basis to better complete management tasks.
The foregoing discussion of the background art is intended to facilitate an understanding of the present invention only. This discussion is not an admission or admission that any of the material referred to was common general knowledge.
Many intelligent management systems for school services have been developed, and through extensive searching and reference, it has been found that existing management systems have a system as disclosed in publication number CN112241927a, and these systems generally include a server, a campus end, a teacher end, and a communication connection between the campus end and the teacher end and the server. The server comprises a registration login module, a campus information database, a teacher information database, a recruitment information database, a teacher archive database, a teacher attendance information database, a teacher wage information database and a payment module. The campus terminal comprises a registration login page, a recruitment management page, a teacher file management page, a teacher attendance management page and a teacher wage management page. The texter side comprises a registration login page, an online application page, a file information page, an attendance information page and a wage information page. However, the system can only complete the conventional management task and cannot intelligently process the instant event.
Disclosure of Invention
The invention aims to provide a 5G core network-based intelligent school service management system aiming at the defects.
The invention adopts the following technical scheme:
the intelligent school service management system based on the 5G core network comprises a front end acquisition module, a 5G transmission module, an intelligent analysis module and a school service processing module;
the front-end acquisition module is used for acquiring real-time video data information, the 5G transmission module is used for constructing a core network and transmitting the video data to the intelligent analysis module, the intelligent analysis module is used for analyzing the video data, and the school service processing module performs corresponding school service intelligent management processing based on an analysis result;
the front-end acquisition module comprises shooting units and distribution management units, wherein the shooting units are used for shooting pictures of fixed areas, and the distribution management units are used for recording shooting area information of each shooting unit and transmission mark information of each shooting unit;
the 5G transmission module comprises a video transmission unit and a mark conversion unit, wherein the video transmission unit is used for transmitting picture information shot by each shooting unit in real time, and the mark conversion unit is used for identifying mark information in the transmission information and converting the mark information into area information which can be identified by the intelligent analysis module;
the intelligent analysis module comprises a behavior analysis unit and a self-monitoring unit, wherein the behavior analysis unit is used for analyzing the behaviors of the people, and the self-monitoring unit is used for monitoring whether the received picture information is abnormal or not;
the school service processing module comprises a teaching management unit, a personnel management unit and a result processing unit, wherein the teaching management unit is used for recording the class list information of each class and the teacher information of each class, the personnel management unit is used for recording the basic information of each teacher, and the result processing unit is used for receiving the analysis result of the intelligent analysis module and sending the analysis result to the corresponding teacher;
further, the behavior analysis unit comprises a classification processor, a character recognition processor, a time analysis processor and an inter-class analysis processor, wherein the classification processor classifies the received image according to the place and time and sends character rows in the image to the time analysis processor or the inter-class analysis processor, the character recognition processor is used for recognizing character images in the picture and tracking the behaviors, the time analysis processor is used for analyzing the behaviors of the characters in the class, and the inter-class analysis processor is used for analyzing the behaviors of the characters in the inter-class and non-classroom areas;
further, the one-cycle process of analyzing and processing the behavior data by the lesson time analysis processor comprises the following steps:
s31, calculating action characteristics of all behavior data in the same shooting area;
s32, comparing the action characteristics with each other, screening out abnormal action characteristics, and if not, exiting the cycle process;
s33, comparing the abnormal action characteristics with one type of action characteristics, if the same type of action characteristics exist, entering a step S34, and if the same type of action characteristics exist, exiting the periodic process;
s34, determining the position of the head region corresponding to the abnormal action characteristic, converting the position into seat information, accumulating the small difference times of the seat information, and recording a time point;
further, the one-cycle process of analyzing and processing the behavior data by the inter-class analysis processor comprises the following steps:
s41, calculating action characteristics of all behavior data in the same shooting area;
s42, comparing each action characteristic with the second-class action characteristic, if the second-class action characteristic with consistency exists, entering a step S43, and if not, exiting the periodic process;
s43, the shooting area information is immediately sent to the school processing module.
Further, the formula of the action characteristic is as follows:
；
；
from two vectorsAnd->Forming action characteristics;
wherein,the jth vector representing the ith key point, n being the number of vectors per key point, m being the number of key points,/o>() As a function of the vector angle, +.>For the angle base value, i and j are ordinals for representing sequence numbers;
by calculating the difference value of two motion characteristicsThe comparison is made, and the calculation formula is as follows:
；
wherein,and->For an action feature->And->For another action feature->And->A variable coefficient that is an integer.
The beneficial effects obtained by the invention are as follows:
the system acquires the status information of students in classes and the safety information of the students in non-classes by acquiring video data and adopting different analysis modes based on places and time, the status information is sent to corresponding teachers after class, learning management is better carried out, the safety information is timely sent to proper teachers, and safety events are intervened faster so as to avoid serious consequences.
For a further understanding of the nature and the technical aspects of the present invention, reference should be made to the following detailed description of the invention and the accompanying drawings, which are provided for purposes of reference only and are not intended to limit the invention.
Drawings
FIG. 1 is a schematic diagram of the overall structural framework of the present invention;
FIG. 2 is a schematic diagram of a school service processing module according to the present invention;
FIG. 3 is a schematic diagram of a behavior analysis unit according to the present invention;
FIG. 4 is a schematic diagram of the result processing unit of the present invention;
FIG. 5 is a schematic diagram of overlapping pairing of head regions according to the present invention.
Detailed Description
The following embodiments of the present invention are described in terms of specific examples, and those skilled in the art will appreciate the advantages and effects of the present invention from the disclosure herein. The invention is capable of other and different embodiments and its several details are capable of modification and variation in various respects, all without departing from the spirit of the present invention. The drawings of the present invention are merely schematic illustrations, and are not intended to be drawn to actual dimensions. The following embodiments will further illustrate the related art content of the present invention in detail, but the disclosure is not intended to limit the scope of the present invention.
Embodiment one: the embodiment provides a 5G core network-based intelligent school service management system, which comprises a front-end acquisition module, a 5G transmission module, an intelligent analysis module and a school service processing module, and is combined with fig. 1;
the front-end acquisition module is used for acquiring real-time video data information, the 5G transmission module is used for constructing a core network and transmitting the video data to the intelligent analysis module, the intelligent analysis module is used for analyzing the video data, and the school service processing module performs corresponding school service intelligent management processing based on an analysis result;
the front-end acquisition module comprises shooting units and distribution management units, wherein the shooting units are used for shooting pictures of fixed areas, and the distribution management units are used for recording shooting area information of each shooting unit and transmission mark information of each shooting unit;
the 5G transmission module comprises a video transmission unit and a mark conversion unit, wherein the video transmission unit is used for transmitting picture information shot by each shooting unit in real time, and the mark conversion unit is used for identifying mark information in the transmission information and converting the mark information into area information which can be identified by the intelligent analysis module;
the intelligent analysis module comprises a behavior analysis unit and a self-monitoring unit, wherein the behavior analysis unit is used for analyzing the behaviors of the people, and the self-monitoring unit is used for monitoring whether the received picture information is abnormal or not;
the school service processing module comprises a teaching management unit, a personnel management unit and a result processing unit, wherein the teaching management unit is used for recording the class list information of each class and the teacher information of each class, the personnel management unit is used for recording the basic information of each teacher, and the result processing unit is used for receiving the analysis result of the intelligent analysis module and sending the analysis result to the corresponding teacher;
the behavior analysis unit comprises a classification processor, a character recognition processor, a time-of-class analysis processor and an inter-class analysis processor, wherein the classification processor classifies received images according to places and time and sends character lines in the images to the time-of-class analysis processor or the inter-class analysis processor, the character recognition processor is used for recognizing character images in pictures and tracking behaviors, the time-of-class analysis processor is used for analyzing character behaviors in class, and the inter-class analysis processor is used for analyzing character behaviors in inter-class and non-classroom areas.
The one-cycle process for analyzing and processing the behavior data by the lesson time analysis processor comprises the following steps:
s31, calculating action characteristics of all behavior data in the same shooting area;
s32, comparing the action characteristics with each other, screening out abnormal action characteristics, and if not, exiting the cycle process;
s33, comparing the abnormal action characteristics with one type of action characteristics, if the same type of action characteristics exist, entering a step S34, and if the same type of action characteristics exist, exiting the periodic process;
s34, determining the position of the head region corresponding to the abnormal action characteristic, converting the position into seat information, accumulating the small difference times of the seat information, and recording a time point;
the one-cycle process for analyzing and processing the behavior data by the inter-class analysis processor comprises the following steps:
s41, calculating action characteristics of all behavior data in the same shooting area;
s42, comparing each action characteristic with the second-class action characteristic, if the second-class action characteristic with consistency exists, entering a step S43, and if not, exiting the periodic process;
s43, the shooting area information is immediately sent to the school processing module.
The formula of the action characteristic is as follows:
；
；
from two vectorsAnd->Forming action characteristics;
wherein,the jth vector representing the ith key point, n being the number of vectors per key point, m being the number of key points,/o>() As a function of the vector angle, +.>For the angle base value, i and j are ordinals for representing sequence numbers;
by calculating the difference value of two motion characteristicsThe comparison is made, and the calculation formula is as follows:
；
wherein,and->For an action feature->And->For another action feature->And->A variable coefficient that is an integer.
Embodiment two: the embodiment comprises the whole content of the first embodiment, and provides a 5G core network-based intelligent school service management system, which comprises a front end acquisition module, a 5G transmission module, an intelligent analysis module and a school service processing module;
the front-end acquisition module is used for acquiring real-time video data information, the 5G transmission module is used for constructing a core network and transmitting the video data to the intelligent analysis module, the intelligent analysis module is used for analyzing the video data, and the school service processing module performs corresponding school service intelligent management processing based on an analysis result;
the front-end acquisition module comprises shooting units and distribution management units, wherein the shooting units are used for shooting pictures of fixed areas, and the distribution management units are used for recording shooting area information of each shooting unit and transmission mark information of each shooting unit;
the 5G transmission module comprises a video transmission unit and a mark conversion unit, wherein the video transmission unit is used for transmitting picture information shot by each shooting unit in real time, and the mark conversion unit is used for identifying mark information in the transmission information and converting the mark information into area information which can be identified by the intelligent analysis module;
the intelligent analysis module comprises a behavior analysis unit and a self-monitoring unit, wherein the behavior analysis unit is used for analyzing the behaviors of the people, and the self-monitoring unit is used for monitoring whether the received picture information is abnormal or not;
referring to fig. 2, the school service processing module includes a teaching management unit, a personnel management unit and a result processing unit, wherein the teaching management unit is used for recording the class list information of each class and the teacher information of each class, the personnel management unit is used for recording the basic information of each teacher, and the result processing unit is used for receiving the analysis result of the intelligent analysis module and sending the analysis result to the corresponding teacher;
referring to fig. 3, the behavior analysis unit includes a classification processor, a person recognition processor, a time-of-class analysis processor, and an inter-class analysis processor, where the classification processor classifies the received image according to a place and time and transmits a person line in the image to the time-of-class analysis processor or the inter-class analysis processor, the person recognition processor is used to recognize a person image in a picture and track the behavior, the time-of-class analysis processor is used to analyze the person behavior during a class, and the inter-class analysis processor is used to analyze the person behavior in a class and a non-class area;
the workflow of the classification processor comprises the following steps:
s1, judging whether an image is a classroom place or a non-classroom place according to the area information, marking the image of the non-teacher place as a second-class image, sending the image to the character recognition processor, and if the image is the classroom place, entering a step S2;
s2, judging whether the time information is a class time or not, if the time information is the class time, marking the image as a class-I image, and if the time information is a non-class time, marking the image as a class-II image;
s3, receiving the behavior data sent by the character recognition processor, if the behavior data is the behavior data of one type of image, sending the behavior data to the time-of-class analysis processor, and if the behavior data is the behavior data of two types of image, sending the behavior data to the inter-class analysis processor;
the process of the person identification processor for person identification and behavior tracking comprises the following steps:
s21, detecting a head area in the image, if the image is a first type image, entering a step S22, and if the image is a second type image, entering a step S25;
s22, carrying out face detection on each head area to obtain face key point information;
s23, tracking and matching the head area with the head area of the previous frame of image, adding tracking number information for each head area, and updating the head area information;
s24, adding the facial key point information into a behavior group with the same tracking number to form behavior data, and entering step S28;
s25, detecting limbs of each head area to obtain limb key point information;
s26, carrying out tracking matching on the head area and the head area of the previous frame of image, adding tracking number information for each head area, and updating the head area information;
s27, adding limb key point information into a behavior group with the same tracking number to form behavior data, and entering a step S28;
s28, sending behavior data to the classification processor;
the behavior group is used for storing key point information of the same tracking number, the key point information is arranged in the behavior group according to time sequence, data of a fixed time length is intercepted from the behavior group and vectorized to be used as behavior data, the behavior data is represented by a plurality of vectors of each key point, and one key point points to the position of the next frame at the position of the previous frame to form a vector;
the trace matching method in step S23 and step S26 is as follows: matching the minimum two head areas of the non-overlapping area into a pair, if the two head areas can be matched one by one, finishing tracking matching, if the two head areas cannot be matched one by one, calculating the area of the non-overlapping area of each priority matching mode, and taking the area and the minimum priority matching mode as a final matching mode to finish tracking matching;
for example, the three head areas A1, A2, and A3 are subjected to tracking matching with the three head areas B1, B2, and B3, the A1 matching B1, the A2 matching B2, the A3 matching B3 are paired one by one, the A1 matching B1, the A2 matching B1, the A3 matching B3 are not paired one by one, in this case, the A1 preferential pairing manner is: a1 matches B1, A2 matches B2, A3 matches B3, and A2 preferential pairing is as follows: a1 matches B2, A2 matches B1, A3 matches B3;
FIG. 5 shows the overlapping of A1 with B1 and B2, respectively, where the non-overlapping area of A1 and B1 is minimal, and A1 and B1 are paired;
the one-cycle process for analyzing and processing the behavior data by the lesson time analysis processor comprises the following steps:
s31, calculating action characteristics of all behavior data in the same shooting area;
s32, comparing the action characteristics with each other, screening out abnormal action characteristics, and if not, exiting the cycle process;
s33, comparing the abnormal action characteristics with one type of action characteristics, if the same type of action characteristics exist, entering a step S34, and if the same type of action characteristics exist, exiting the periodic process;
s34, determining the position of the head region corresponding to the abnormal action characteristic, converting the position into seat information, accumulating the small difference times of the seat information, and recording a time point;
the class time analysis processor packages and sends seat information with the small difference times larger than 0 and time point information to the school service processing module at the class time point;
the class of action features are built in a class time analysis processor, and each class of action features represents an action of a small difference;
the one-cycle process for analyzing and processing the behavior data by the inter-class analysis processor comprises the following steps:
s41, calculating action characteristics of all behavior data in the same shooting area;
s42, comparing each action characteristic with the second-class action characteristic, if the second-class action characteristic with consistency exists, entering a step S43, and if not, exiting the periodic process;
s43, immediately sending the shooting area information to a school processing module;
the second class action features are arranged in an inter-class analysis processor, and each second class action feature represents an action which is forbidden to occur in a school;
in step S31 and step S41, the formula for calculating the motion characteristics is as follows:
；
；
from two parts(Vector)And->Forming action characteristics;
wherein,the jth vector representing the ith key point, n being the number of vectors per key point, m being the number of key points,/o>() As a function of the vector angle, it is specified that the angle between the direction of the vector and the positive direction,/is>For the angle base value, i and j are ordinals for representing sequence numbers;
in step S32, step S33 and step S42, there is a process of comparing the two motion characteristics, and the difference value between the two motion characteristics is calculatedThe comparison is made, and the calculation formula is as follows:
；
wherein,and->For an action feature->And->For another action feature->And->A variable coefficient that is an integer;
for vector +.>And->Double vector->Is characterized by the vector +.>Vector->The length relation, the same thing, the difference value->I.e. the minimum value of the difference between the two motion characteristics is obtained,/->And->The difference value +.>Minimum, i.e. in->In the case of determination, it is necessary to have the determined value +.>And->Minimal difference->，/>The acquisition principle of (2) is the same as that of (1);
in step S32, when the number of motion features having a difference value from one motion feature larger than the abnormality threshold is larger than the threshold number, the motion feature is selected as an abnormal motion feature;
in step S33 and step S42, when the difference value of the two motion features is smaller than the similarity threshold, the two motion features have consistency;
the self-monitoring unit monitors the data transmission state of each shooting unit, and if abnormality occurs, shooting abnormality alarm information is transmitted to the school processing module;
referring to fig. 4, the result processing unit includes a data receiving processor, an information retrieving processor and an information sending processor, where the data receiving processor is configured to receive information sent by the time analysis processor, the inter-class analysis processor and the self-monitoring unit, the information retrieving processor obtains a contact manner of a target teacher from the personnel management unit according to the current time, shooting area information of the shooting unit and information recorded in the teaching management unit, and the information sending processor forwards the information received by the data receiving processor to the target teacher for processing.
The foregoing disclosure is only a preferred embodiment of the present invention and is not intended to limit the scope of the invention, so that all equivalent technical changes made by applying the description of the present invention and the accompanying drawings are included in the scope of the present invention, and in addition, elements in the present invention can be updated as the technology develops.
Claims (5)
1. The intelligent school service management system based on the 5G core network is characterized by comprising a front-end acquisition module, a 5G transmission module, an intelligent analysis module and a school service processing module;
the front-end acquisition module is used for acquiring real-time video data information, the 5G transmission module is used for constructing a core network and transmitting the video data to the intelligent analysis module, the intelligent analysis module is used for analyzing the video data, and the school service processing module performs corresponding school service intelligent management processing based on an analysis result;
the front-end acquisition module comprises shooting units and distribution management units, wherein the shooting units are used for shooting pictures of fixed areas, and the distribution management units are used for recording shooting area information of each shooting unit and transmission mark information of each shooting unit;
the 5G transmission module comprises a video transmission unit and a mark conversion unit, wherein the video transmission unit is used for transmitting picture information shot by each shooting unit in real time, and the mark conversion unit is used for identifying mark information in the transmission information and converting the mark information into area information which can be identified by the intelligent analysis module;
the intelligent analysis module comprises a behavior analysis unit and a self-monitoring unit, wherein the behavior analysis unit is used for analyzing the behaviors of the people, and the self-monitoring unit is used for monitoring whether the received picture information is abnormal or not;
the school service processing module comprises a teaching management unit, a personnel management unit and a result processing unit, wherein the teaching management unit is used for recording the class list information of each class and the teacher information of each class, the personnel management unit is used for recording the basic information of each teacher, and the result processing unit is used for receiving the analysis result of the intelligent analysis module and sending the analysis result to the corresponding teacher.
2. The intelligent school management system based on 5G core network as set forth in claim 1, wherein the behavior analysis unit comprises a classification processor, a character recognition processor, a time of class analysis processor, and a time of class analysis processor, the classification processor classifies the received image according to the place and time and transmits character lines in the image to the time of class analysis processor or the time of class analysis processor, the character recognition processor is used for recognizing character images in the picture and tracking the behaviors, the time of class analysis processor is used for analyzing character behaviors at the time of class, and the time of class analysis processor is used for analyzing character behaviors in the time of class and in the non-classroom area.
3. The intelligent business management system based on 5G core network of claim 2, wherein the one-cycle process of analyzing and processing the behavior data by the lesson time analysis processor comprises the steps of:
s31, calculating action characteristics of all behavior data in the same shooting area;
s32, comparing the action characteristics with each other, screening out abnormal action characteristics, and if not, exiting the cycle process;
s33, comparing the abnormal action characteristics with one type of action characteristics, if the same type of action characteristics exist, entering a step S34, and if the same type of action characteristics exist, exiting the periodic process;
s34, determining the position of the head area corresponding to the abnormal action characteristic, converting the position into seat information, accumulating the small difference times of the seat information, and recording the time point.
4. A 5G core network based intelligent business management system according to claim 3, wherein the one cycle process of analyzing and processing the behavior data by the inter-class analysis processor comprises the steps of:
s41, calculating action characteristics of all behavior data in the same shooting area;
s42, comparing each action characteristic with the second-class action characteristic, if the second-class action characteristic with consistency exists, entering a step S43, and if not, exiting the periodic process;
s43, the shooting area information is immediately sent to the school processing module.
5. The intelligent 5G core network based business management system of claim 4 wherein the action characteristics are formulated as follows:
；
；
from two vectorsAnd->Forming action characteristics;
wherein,the jth vector representing the ith key point, n being the number of vectors per key point, m being the number of key points,/o>() As a function of the vector angle, +.>For the angle base value, i and j are ordinals for representing sequence numbers;
by calculating the difference value of two motion characteristicsThe comparison is made, and the calculation formula is as follows:
；
wherein,and->For an action feature->And->For another action feature->And->A variable coefficient that is an integer.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
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