CN112163761A - Remote teaching system - Google Patents

Remote teaching system Download PDF

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Publication number
CN112163761A
CN112163761A CN202011023557.9A CN202011023557A CN112163761A CN 112163761 A CN112163761 A CN 112163761A CN 202011023557 A CN202011023557 A CN 202011023557A CN 112163761 A CN112163761 A CN 112163761A
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China
Prior art keywords
information
client
cloud platform
video information
temperature
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Pending
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CN202011023557.9A
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Chinese (zh)
Inventor
李海伟
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Zhejiang Dahua Technology Co Ltd
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Zhejiang Dahua Technology Co Ltd
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Priority to CN202011023557.9A priority Critical patent/CN112163761A/en
Publication of CN112163761A publication Critical patent/CN112163761A/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06395—Quality analysis or management
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K1/00—Details of thermometers not specially adapted for particular types of thermometer
    • G01K1/02—Means for indicating or recording specially adapted for thermometers
    • G01K1/024—Means for indicating or recording specially adapted for thermometers for remote indication
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K1/00—Details of thermometers not specially adapted for particular types of thermometer
    • G01K1/02—Means for indicating or recording specially adapted for thermometers
    • G01K1/026—Means for indicating or recording specially adapted for thermometers arrangements for monitoring a plurality of temperatures, e.g. by multiplexing
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K1/00—Details of thermometers not specially adapted for particular types of thermometer
    • G01K1/02—Means for indicating or recording specially adapted for thermometers
    • G01K1/028—Means for indicating or recording specially adapted for thermometers arrangements for numerical indication
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/14—Digital output to display device ; Cooperation and interconnection of the display device with other functional units
    • G06F3/1454—Digital output to display device ; Cooperation and interconnection of the display device with other functional units involving copying of the display data of a local workstation or window to a remote workstation or window so that an actual copy of the data is displayed simultaneously on two or more displays, e.g. teledisplay
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G06Q10/109—Time management, e.g. calendars, reminders, meetings or time accounting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/20—Education
    • G06Q50/205—Education administration or guidance
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/20—Movements or behaviour, e.g. gesture recognition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network

Abstract

The present application relates to a remote teaching system, wherein, this remote teaching system includes: the system comprises a plurality of front-end devices, a plurality of clients and a cloud platform; the front-end equipment and the clients respectively correspond to one user, and are connected with the cloud platform; this application passes through intelligent front end automatic acquisition temperature information and will temperature information upload to the cloud platform, the cloud platform is right temperature information is saved and the early warning and will alarm signal sends to the client has solved the problem that the temperature information acquisition method efficiency is low of manual temperature measurement fill-in table, has realized that the remote teaching system is automatic to teachers and students carry out temperature health management.

Description

Remote teaching system
Technical Field
The application relates to the field of teaching equipment, in particular to a remote teaching system.
Background
As is well known, the traditional classroom teaching mode has space limitation and time limitation objectively, that is, students and teachers must arrive at a specific place at a specific time to carry out teaching work, in recent years, along with the rapid development of the internet of things technology, in order to overcome the above defects of the traditional classroom teaching mode, the online teaching system comes up, and at present, the existing online teaching system mainly comprises three parts: two information recording parts for obtaining audio and video information of teacher or student and a network transmission part for transmitting data. The remote teaching is influenced by new crown epidemic situation, and the remote teaching is greatly popularized. Meanwhile, the temperature health management of teachers and students at home has also become very important. At present, teachers and students still adopt a manual temperature measurement form filling method to collect temperature information, and the method is low in efficiency; no effective solution to this problem has been proposed.
Disclosure of Invention
The embodiment of the application provides a remote teaching system, which at least solves the problem of low efficiency of a temperature information acquisition method in the related technology.
In a first aspect, an embodiment of the present application provides a remote teaching system, which includes: the system comprises a plurality of front-end devices, a plurality of clients and a cloud platform; the front-end equipment and the clients respectively correspond to one user, and are connected with the cloud platform; the front-end equipment respectively collects video information and temperature information of corresponding users in real time; the front-end equipment generates behavior information according to the video information and transmits the behavior information, the temperature information and the video information to the cloud platform; the cloud platform generates a record file of a corresponding user according to the behavior information, the temperature information and the video information; the cloud platform records temperature abnormal information according to the temperature information and the temperature threshold value in the record file of the corresponding user, generates an alarm signal according to the temperature abnormal information and sends the alarm signal to the client of the user corresponding to the temperature abnormal information; and the client gives an alarm according to the alarm signal.
In one embodiment, the front-end device transmits the video information to the cloud platform in real time; the front-end equipment generates behavior information according to the video information; the front-end equipment periodically transmits the behavior information and the temperature information to the cloud platform.
In one embodiment, the cloud platform compares the temperature information with the temperature threshold, and records the temperature anomaly information once if the temperature information exceeds the temperature threshold; and the cloud platform compares the recording times of the temperature abnormal information with preset times, and if the recording times of the temperature abnormal information exceed the preset times, the cloud platform generates an alarm signal and sends the alarm signal to a client of a temperature abnormal information user.
In one embodiment, the front-end device compares behavior information corresponding to a plurality of pieces of video information with a preset behavior; if the front-end equipment judges that the behavior information identical to the preset behavior exists, generating a front-end equipment adjusting signal; and the front-end equipment adjusts the video information acquisition angle and the focal length according to the front-end equipment adjustment signal.
In one embodiment, the cloud platform acquires multiple paths of video information acquired by the front-end devices and behavior information corresponding to the corresponding video information, and sends the multiple paths of video information to the corresponding clients for display according to the behavior information.
In one embodiment, the cloud platform compares behavior information corresponding to a plurality of video information with preset behaviors; and the cloud platform sends the video information corresponding to the behavior information with the same preset behavior to the client for displaying.
In one embodiment, the cloud platform compares behavior information corresponding to a plurality of video information with preset behaviors; the cloud platform sends all video information to the client, the client displays the video information corresponding to the behavior information with the same preset behavior in the first display area, and the rest of the video information is displayed in a plurality of second display areas; the area of the first display area is larger than that of the second display area.
In one embodiment, the clients include a first client and a second client; the user corresponding to the first client comprises a student, and the user corresponding to the second client is a teacher; the cloud platform acquires multi-channel video information acquired by a plurality of front-end devices and a control instruction sent by a second client; the control instruction comprises specified video information; and the cloud platform sends the corresponding video information to the first client side for display according to the control instruction, and sends all the video information to the second client side for display.
In one embodiment, the clients include a first client and a second client; the user corresponding to the first client comprises a student, and the user corresponding to the second client is a teacher; the cloud platform transmits video information collected by front-end equipment corresponding to the second client to the first client for display; the cloud platform sends all the video information to the second client, and the client displays the video information collected by the front-end equipment corresponding to the second client in the first display area and displays the rest of the video information in a plurality of second display areas; the second client side obtains user input information, wherein the user input information comprises appointed video information; and displaying the corresponding video information in a first display area according to the user input information.
In one embodiment, the cloud platform is deployed on a 5G mobile e-commerce platform.
Compare in correlation technique, the remote teaching system that this application embodiment provided through intelligent front end automatic acquisition temperature information and general temperature information uploads to the cloud platform, the cloud platform is right temperature information is stored and the early warning and will alarm signal send to the client has solved the problem that the temperature information acquisition method of manual temperature measurement form filling is inefficient, has realized that the remote teaching system is automatic to carry out temperature health management to teachers and students.
The details of one or more embodiments of the application are set forth in the accompanying drawings and the description below to provide a more thorough understanding of the application.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a schematic diagram of a remote teaching system according to the related art;
FIG. 2 is a schematic diagram of a remote teaching system according to an embodiment of the present application;
FIG. 3 is a cloud platform temperature health management flow diagram according to an embodiment of the present application;
FIG. 4 is a schematic diagram of a 5G deployment of a remote teaching system according to an embodiment of the present application;
FIG. 5 is a schematic diagram of a stand-alone server deployment of a remote tutoring system according to an embodiment of the application;
FIG. 6 is a schematic workflow diagram of a remote teaching system according to an embodiment of the present application;
FIG. 7 is a cloud platform temperature health management flow diagram according to an embodiment of the application;
FIG. 8 is a schematic diagram of a teacher-student interaction flow according to an embodiment of the application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be described and illustrated below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments provided in the present application without any inventive step are within the scope of protection of the present application.
It is obvious that the drawings in the following description are only examples or embodiments of the present application, and that it is also possible for a person skilled in the art to apply the present application to other similar contexts on the basis of these drawings without inventive effort. Moreover, it should be appreciated that in the development of any such actual implementation, as in any engineering or design project, numerous implementation-specific decisions must be made to achieve the developers' specific goals, such as compliance with system-related and business-related constraints, which may vary from one implementation to another.
Reference in the specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the specification. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of ordinary skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments without conflict.
Unless defined otherwise, technical or scientific terms referred to herein shall have the ordinary meaning as understood by those of ordinary skill in the art to which this application belongs. Reference to "a," "an," "the," and similar words throughout this application are not to be construed as limiting in number, and may refer to the singular or the plural. The present application is directed to the use of the terms "including," "comprising," "having," and any variations thereof, which are intended to cover non-exclusive inclusions; for example, a process, method, system, article, or apparatus that comprises a list of steps or modules (elements) is not limited to the listed steps or elements, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. Reference to "connected," "coupled," and the like in this application is not intended to be limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The term "plurality" as referred to herein means two or more. "and/or" describes an association relationship of associated objects, meaning that three relationships may exist, for example, "A and/or B" may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. Reference herein to the terms "first," "second," "third," and the like, are merely to distinguish similar objects and do not denote a particular ordering for the objects.
At present, the existing network teaching system mainly comprises three parts: an information recording part 01 for acquiring audio and video information of teachers or students, an information recording part 02, and a network transmission part 03 for data transmission. Fig. 1 is a schematic structural diagram of a remote teaching system according to the related art, as shown in fig. 1, wherein an information recording portion 01 and an information recording portion 02 are mainly used for collecting video image information and audio information, and a network transmission portion 03 is mainly used for transmitting the video image information and the audio information. With the development of virtual reality technology, a new situation of applying virtual teaching technology to a remote teaching system also appears. For example, a VR (Virtual Reality) teaching system having a remote interactive function includes: the teaching system comprises a teacher teaching end module, a VR device learning module, a cloud VR running server, terminal devices and an open platform. The teacher teaching end module is connected with the cloud VR running server and used for recording and broadcasting the teaching content in real time and uploading the teaching content, and the terminal equipment is connected with the VR equipment learning module and can serve as an operation terminal of the VR equipment learning module. The open platform is installed on a system of the terminal equipment and is matched with the VR equipment learning module for use. And the camera is added for real-time shooting, so that interaction can be realized. It should be noted that the interaction here refers to simple live interaction, such as teacher asking questions, student answering questions, and the students cannot have good interaction when they do homework. Moreover, this solution does not manage the temperature health of students and teachers. In another teaching system based on VR virtual classroom, the teaching system comprises a teacher end, a central processing unit and a student end. The student end sets up in VR equipment, realizes network connection through central processing unit between teacher's end and the student end, and teacher's end includes information inquiry and leading-in module, and central processing unit includes courseware storage module and information processing module, and the student end includes course management module and course learning information feedback module. This solution also fails to manage the temperature health of students and teachers.
Temperature health management becomes increasingly important under the influence of new crown epidemics. An outstanding remote teaching system not only can provide convenient help for teachers and students' interaction, also should possess the healthy management function of temperature, and based on this, the application provides a remote teaching system who possesses the temperature measurement function.
The embodiment provides a remote teaching system. Fig. 2 is a schematic structural diagram of a remote teaching system according to an embodiment of the present application, and as shown in fig. 2, the remote teaching system includes: a plurality of front-end devices 10, a plurality of clients 30, and a cloud platform 20; the front-end devices 10 and the clients 30 correspond to a user respectively, and the front-end devices 10 and the clients 30 are connected with the cloud platform 20; the plurality of front-end devices 10 respectively acquire video information and temperature information of corresponding users in real time; the front-end equipment generates behavior information according to the video information, and transmits the behavior information, the temperature information and the video information to the cloud platform 20; the cloud platform 20 generates a record file of a corresponding user according to the behavior information, the temperature information and the video information; the cloud platform 20 records temperature abnormal information according to the temperature information and the temperature threshold value in the record file of the corresponding user, generates an alarm signal according to the temperature abnormal information, and sends the alarm signal to the client 30 of the user corresponding to the temperature abnormal information; the client 30 alarms according to the alarm signal. Specifically, the number of the front-end devices and the number of the clients are not limited to the number on the schematic diagram, and the specific number can be adjusted according to the number of the classes. Each person uses a front-end device and a client; the front-end equipment can collect video information, temperature information and behavior information of current personnel. The front-end equipment comprises intelligent camera equipment; this intelligence camera equipment possesses functions such as video acquisition, picture collection, temperature acquisition, data report, close-up angle adjustment. In consideration of user information safety, a user can control the intelligent camera to be turned on or turned off through intelligent camera control software or APP, and can also control the intelligent camera to be turned on or turned off through a button or a remote controller. The users of the remote teaching system include teachers and students. The video information comprises video stream information and picture information, the temperature information comprises the body temperature of a user detected by the front-end equipment, and the infrared temperature measuring chip is integrated on the front-end equipment and can collect body temperature data. The front-end equipment is internally provided with a behavior information judging module for identifying whether personnel shot by the front-end equipment generate corresponding behavior information; the judgment model built in the behavior information judgment module is based on a neural network model trained in advance, and includes but is not limited to ResNet, inclusion, MobileNet, VGG and the like. The behavior information includes but is not limited to writing on a blackboard, reading aloud, reading a mobile phone, writing, lying down on a desk and the like; the front-end equipment can upload video information, temperature information and behavior information to the cloud platform, and the cloud platform can receive video streams, pictures, temperatures and behavior information from each front end; the cloud platform is provided with an identity information base of the user in advance, the front-end equipment can identify the identity of the user, and the cloud platform stores video information, temperature information and behavior information collected by the front-end equipment into a record file of corresponding personnel according to the identification result of the front-end equipment. After the course is finished, the cloud platform can also analyze the behaviors of the teacher and the students according to the reported behavior information, for example, counting the writing times of the teacher and the dozing times or the mobile phone playing times of the students, so as to evaluate the teaching quality. Preferably, the cloud platform can also count the temperature information of the same user in a single file to form a health record. The temperature threshold is a preset value, preferably 37.5 degrees celsius. The client can be a computer, an iPad or a television and the like and is used for playing video pictures edited according to the interaction situation in real time. The alarm mode of the client can be voice reminding, and can also be text pushing or alarm sign prompting.
In one embodiment, the front-end device transmits the video information to the cloud platform in real time; the front-end equipment generates behavior information according to the video information; the front-end equipment periodically transmits the behavior information and the temperature information to the cloud platform. The cloud platform compares the temperature information with the temperature threshold, and if the temperature information exceeds the temperature threshold, the temperature abnormal information is recorded once; and the cloud platform compares the recording times of the temperature abnormal information with preset times, and if the recording times of the temperature abnormal information exceed the abnormal time threshold, the cloud platform generates an alarm signal and sends the alarm signal to a client of a temperature abnormal information user. Specifically, fig. 3 is a flowchart of temperature health management of a cloud platform according to an embodiment of the present application.
Step S301, initializing a record file according to the curriculum schedule.
And step S302, judging the personnel information according to the face recognition condition.
Step S303, adding the body temperature data to the record file of the corresponding person.
And step S304, if the body temperature data is larger than the temperature threshold, recording a temperature abnormality once.
Step S305, if the abnormal times are larger than the preset times, an alarm signal is sent to the client.
And step S306, ending the course and saving the record file.
After the front-end equipment is started, the front-end equipment collects body temperature data of a user in real time, and can also set a temperature measurement period to measure the body temperature once every other preset time period. The method comprises the steps that the front-end equipment uploads body temperature data to a cloud platform, the cloud platform initializes a record file of a corresponding person according to a preset curriculum schedule, and the process can be deleting an overdue temperature data record or creating a current curriculum body temperature record file of the corresponding person; and the cloud platform adds the body temperature data into the record file of the corresponding personnel according to the face recognition result of the front-end equipment. And comparing the body temperature data with a temperature threshold value by a relevant program in the cloud platform, wherein the temperature threshold value is preferably 37.5 ℃, and when the measured body temperature data is greater than the temperature threshold value, determining that the body temperature of the user is abnormal, recording the next body temperature abnormality, and storing the body temperature data into a record file corresponding to the user. And when the recorded body temperature abnormal times exceed the preset times, sending an alarm signal to the client of the corresponding user. The client side carries out alarm prompt, and the alarm prompt can be voice prompt, or character push or alarm sign prompt. And according to a preset curriculum schedule, when the curriculum is finished, the cloud platform stores the record file.
After the front-end equipment is started, the front-end equipment carries out camera shooting on a user, the front-end equipment can periodically intercept one or more frames of images in the video, input the images into a neural network model and judge whether the user has preset behavior information, wherein the behavior information comprises but is not limited to writing on a blackboard, reading aloud, reading a mobile phone, writing, lying down a desk and the like; the front-end device can upload video information, temperature information and behavior information to the cloud platform. The front-end equipment transmits the behavior information and the temperature information to the cloud platform periodically, course information can be preset in the front-end equipment, and different courses correspond to different temperature information and behavior information transmission periods. The purpose of adopting the setting is to collect mass data and increase the system operation task. For example, when the course is a math class, the period can be set to be uploaded once in five minutes, and when the course is a study class, the period can be set to be uploaded once in fifteen minutes. Preferably, the behavior information and the temperature information can be uploaded to a cloud platform together, and the behavior information and the temperature information are merged and stored in a record file of a corresponding person.
In one embodiment, the front-end device compares behavior information corresponding to a plurality of pieces of video information with a preset behavior; if the front-end equipment judges that the behavior information identical to the preset behavior exists, generating a front-end equipment adjusting signal; and the front-end equipment adjusts the video information acquisition angle and the focal length according to the front-end equipment adjustment signal. Specifically, the front-end device includes a full-automatic angle switching camera device. The method comprises the steps that video information is collected by front-end equipment, one or more frames of pictures in a video stream or video are input into a neural network classification model, whether preset behaviors exist in the video can be judged, if the preset behaviors do not exist in the video, the video is directly transmitted to a cloud platform, if behavior information identical to the preset behaviors exists in the video, a front-end equipment adjusting signal is generated, the front-end equipment comprises preset parameters of the angle and the focal length of the camera equipment, and the adjusted camera equipment can close up the preset behaviors. For example: when the user is a teacher, the front-end equipment is started, and then the lecture video of the teacher is collected in real time, when the teacher writes on a blackboard, the front-end equipment detects that the collected video has a blackboard writing behavior, the shooting angle and the focal length of the camera equipment are adjusted, and the writing content of the teacher is closed up, so that students can see the writing content of the teacher more clearly; when the front-end equipment detects that a teacher puts teaching aids, the shooting angle and the focal length of the camera equipment are automatically adjusted, and the situation of putting the close-up focal length is automatically adjusted; if the behavior information is not detected, the teacher appears in the video frame and does not perform close-up. Another example is: when the user is a student, the front-end equipment is started, and then the class listening video of the student is collected in real time, and if the student listens to a class, reads and raises hands, the front-end equipment does not detect a preset behavior, the shooting equipment does not perform close-up; when a teacher appoints a student to answer a question and write a derivation process, the front-end equipment detects that writing behaviors exist in collected videos, the angle and the focal length of the camera are adjusted, and the notebook of the student is closed up, so that the teacher can see the derivation process of the student more clearly.
In one embodiment, the cloud platform acquires multiple paths of video information acquired by the front-end devices and behavior information corresponding to the corresponding video information, and sends the multiple paths of video information to the corresponding clients for display according to the behavior information. Specifically, each front-end device acquires video information of a corresponding person and behavior information corresponding to a corresponding video, transmits the video information and the behavior information to the cloud platform, receives the video information and the corresponding behavior information by the cloud platform, switches different video channels according to the behavior information, and selectively sends the video information to corresponding clients.
In one embodiment, the cloud platform compares behavior information corresponding to a plurality of video information with preset behaviors; and the cloud platform sends the video information corresponding to the behavior information with the same preset behavior to the client for displaying. Specifically, the cloud platform compares behavior information corresponding to the video information with a preset behavior, and sends the video information corresponding to the behavior information to the client when the behavior information identical to the preset behavior appears in the video information.
In one embodiment, the cloud platform compares behavior information corresponding to a plurality of video information with preset behaviors; the cloud platform sends all video information to the client, the client displays the video information corresponding to the behavior information with the same preset behavior in the first display area, and the rest of the video information is displayed in a plurality of second display areas; the area of the first display area is larger than that of the second display area. Specifically, teacher's client interface can divide into large-size screen region and little screen region, and when the teacher selected certain student to put the teaching aid and answer the problem, the large-size screen region of teacher's client switches over to the picture that this student answered the problem, puts the teaching aid and predetermines the action the same, so with this student put teaching aid close-up video display in the teacher large-size screen region, the little screen region can also show other students ' the picture of listening to lessons simultaneously.
In one embodiment, the clients include a first client and a second client; the user corresponding to the first client comprises a student, and the user corresponding to the second client is a teacher; the cloud platform acquires multi-channel video information acquired by a plurality of front-end devices and a control instruction sent by a second client; the control instruction comprises specified video information; and the cloud platform sends the corresponding video information to the first client side for display according to the control instruction, and sends all the video information to the second client side for display. Specifically, the client may be provided with a right and a selection button. The teacher client side has the permission to receive all the video channels, and the student client side only has the permission to receive the teacher video information and the video information of the video channels specified by the teacher. And the teacher client sends a control instruction to the cloud platform, and the cloud platform switches the designated video channel according to the control instruction and sends the video channel to the student client. For example: and a roll call button is arranged at the teacher client, and when the teacher clicks the name of a certain student and designates the student to answer the question, the video pictures of the students currently answering the question are displayed in the large screen area of the teacher client and all the student clients.
The client comprises a first client and a second client; the user corresponding to the first client comprises a student, and the user corresponding to the second client is a teacher; the cloud platform transmits video information collected by front-end equipment corresponding to the second client to the first client for display; the cloud platform sends all the video information to the second client, and the client displays the video information collected by the front-end equipment corresponding to the second client in the first display area and displays the rest of the video information in a plurality of second display areas; the second client side obtains user input information, wherein the user input information comprises appointed video information; and displaying the corresponding video information in a first display area according to the user input information. Specifically, the first client is a client used by students, and the second client is a client used by teachers; the teacher client side has the authority to view teacher video pictures and all student video pictures, and the authority of the student client side can only view the teacher video pictures. The cloud platform sends a teacher teaching video acquired by front-end equipment of a teacher to a student client for display, and students can watch the teacher live teaching through the student client; the cloud platform sends all videos collected by the front-end equipment of all students and videos collected by the front-end equipment of the teacher to the teacher client; the teacher client interface comprises a large screen area and a small screen area, a teacher can see own teaching video pictures in the large screen area, and the small screen area can display video pictures of each student; the student client interface only has a large screen picture and is used for displaying a teacher teaching video picture. Preferably, a student list can be set on the teacher client interface, and the teacher can watch all the student video pictures through the student list. The number of students with small screen pictures can be set according to requirements and screen sizes, and the small screen video pictures can be switched to be large screen for viewing. The student client is provided with a hand-lifting button, and when a teacher designates a certain student to answer a question, the large-screen video picture of the teacher is converted into the video picture of the student answering the question; the pictures of the student client are also switched into the video pictures of the student; students answer questions including, but not limited to, answering, writing, placing teaching aids, etc. When the teacher finishes answering the question, the student interface is switched to the teacher.
In one embodiment, the cloud platform is deployed on a 5G mobile e-commerce platform. With the development of the 5G technology, the cloud platform is deployed on a 5G MEC (Mobile Electronic Commerce) by utilizing the characteristics of multiple accesses, high bandwidth, low delay and the like of the 5G technology, so that remote interactive teaching is clearer and more efficient. Specifically, fig. 4 is a schematic diagram of a 5G deployment mode of the remote teaching system according to the embodiment of the present application, where the front-end device 10 is deployed at a user-specified location, and is generally disposed in a study at home. The front-end device transmits the collected video information, temperature information and behavior information to a cloud platform 20 on an MEC (mobile electronic commerce platform) through an operator Network via a 5G base station, and the cloud platform 20 sends the processed multi-channel video information and alarm signals to clients 30 of various users via a CDN (Content Delivery Network). The CDN system can redirect a request of a user to a service node closest to the user in real time according to the network traffic and comprehensive information such as connection of each node, a load condition, a distance to the user, and response time. The method aims to enable the user to obtain the required content nearby, solve the problem of congestion of the Internet network and improve the response speed of the user for accessing the website. The cloud platform may also employ a traditional standalone server deployment approach. Fig. 5 is a schematic diagram of a deployment manner of an independent server of the remote teaching system according to the embodiment of the present application, in which the front-end device 10 is deployed at a position designated by a user, the cloud platform 20 is deployed on the independent server, and the client 30 receives video information and an alarm signal sent by the cloud platform 20 through a network.
In one specific embodiment, as shown in FIG. 6, FIG. 6 is a schematic diagram of a remote teaching system workflow according to an embodiment of the present application. The remote teaching system can realize deep interaction between teachers and students in the remote teaching process, can record body temperature conditions of the users and behavior information, and carries out temperature health management on the users and assessment on teaching quality through the cloud platform. The teacher-student interaction process of the remote teaching system comprises the following steps: starting front-end equipment, switching close-up angles according to teacher-student behavior information by the front-end equipment to generate video streams, sending the video streams to a cloud platform, switching different video channels by the cloud platform according to client rights and selections, sending the video streams to clients of all users, and enabling students to watch live broadcast contents through student clients and interact with teachers; the temperature health management and teaching quality evaluation process of the remote teaching system comprises the following steps: the method comprises the steps that front-end equipment is started, the front-end equipment periodically collects temperature information and behavior information of a user and uploads the temperature information and the behavior information to a cloud platform, the cloud platform comprises the temperature information, a health file is generated, and an alarm signal is sent to a client side of the corresponding user when the body temperature of the user is abnormal; and the cloud platform stores the behavior information, and counts the times of the behavior information to evaluate the teaching quality. Fig. 7 is a cloud platform temperature health management flow diagram according to an embodiment of the application. As shown in fig. 7: the method comprises the steps that a cloud platform initializes a record file according to a curriculum schedule, behavior information and temperature information sent by front-end equipment are obtained, the cloud platform judges personnel information according to a face recognition result of the front-end equipment, the obtained behavior information and the obtained temperature information are added into the record file of corresponding personnel, whether the temperature information is larger than a temperature threshold value or not is judged, if the temperature information is larger than the temperature threshold value, the abnormal times of the temperature are increased by 1, whether the abnormal times are larger than preset times or not is continuously judged, and if the abnormal times are larger than the preset times, an alarm signal is sent to a corresponding user client side by the cloud platform to. And when the course is finished, the cloud platform stores the record file, performs behavior information summary analysis according to the record file, and evaluates the teaching quality.
In one specific embodiment, the remote teaching system includes 5 front-end devices, numbered 1, 2, 3, 4, 5; 5 corresponding clients, No. A, B, C, D, E; the cloud platform comprises a front-end device 1, a client A, a front-end device 2, a client B, a front-end device 3 and a client C, wherein the front-end device and the user corresponding to the client A are teachers, the user corresponding to the client B is a student A, and the user corresponding to the client C is a student B; the front-end device 4 and the user corresponding to the client D are student c; the front-end device 4 and the user corresponding to the client E are students. When the school class is in class, all users start the front-end equipment used by the users, and the front-end equipment starts to acquire video and body temperature information. The front-end equipment identifies behavior information of a corresponding user according to the collected video, and identifies blackboard writing behaviors and teaching aid placing behaviors of a teacher for the teacher; for four students, namely the first student, the second student, the third student and the fourth student, the behaviors of the students of reading mobile phones, lying on desks and writing are identified. And uploading the collected video, body temperature information and behavior information to a cloud platform. And the cloud platform stores the body temperature information and the behavior information into a record file of a corresponding person according to the face recognition result. The cloud platform initializes the record file of the corresponding personnel according to a preset class schedule and is used for storing body temperature information and behavior information of the mathematical class. The cloud platform acquires body temperature information and behavior information, and stores the body temperature information and the behavior information acquired by the front-end equipment 1 into a teacher record file according to a face recognition result; storing the body temperature information and the behavior information collected by the front-end equipment 2 into a record file of a student A; storing the body temperature information and the behavior information collected by the front-end equipment 3 into a record file of the student B; storing the body temperature information and the behavior information collected by the front-end equipment 4 into a student C record file; storing the body temperature information and the behavior information collected by the front-end equipment 5 into a recording file of the student D; the cloud platform judges the body temperature data in each record file, if the body temperature information is higher than 37.5 ℃, the body temperature data is recorded once, for example, if the body temperature abnormal frequency of the student B reaches 4 times, the cloud platform sends an alarm signal to the client C, and the client generates alarm information to be pushed. According to presetting the curriculum schedule, when the course finishes, all temperature information and behavior information are preserved to the cloud platform, behavior information can be gathered by the cloud platform, according to teacher's writing on blackboard and the number of times of putting the teaching aid to and the student lie prone the desk, play the cell-phone and write the number of times, assess the teaching quality.
The front-end equipment can adjust the acquisition and uploading periods of the behavior information and the temperature information according to a curriculum schedule preset by teachers and students. The front-end equipment can adjust the shooting angle and the focal length of a camera on the front-end equipment according to the actions of the teacher and the students to obtain close-up shots. For example, when a teacher speaks, the teacher appears in the picture, the intelligent front end A does not perform close-up, when the teacher performs blackboard writing, the intelligent camera recognizes the blackboard writing behavior, the shooting angle and the focal length are adjusted, and the blackboard writing is performed close-up, so that students can see the writing content of the teacher more clearly; when the teacher put the teaching aid, the intelligent camera put the condition to the teaching aid and carries out the special writing. When a student writes, the front-end equipment used by the student can automatically close up the writing picture. The cloud platform receives the video streams transmitted by the front-end devices, and switches different video channels to be presented to the client according to the client authority and selection. The teacher client side comprises a large screen area and a small screen area, the student client side only has the large screen area, the large screen area of the teacher client side can see teacher pictures, and the pictures of the student client side are mainly the teacher pictures. The student client is provided with a hand-lifting button, and the teacher can designate students to answer questions. For example, fig. 8 is a flow chart illustrating a teacher designating a student to answer a question, and as shown in fig. 8, a student first clicks a holding hand to request an answer to the question. The teacher appoints the first student to answer the question and write the answer, the large screen picture of the teacher is switched to the video information of the first student, and the front-end equipment of the first student can close up the writing picture of the first student at the moment; the large screen pictures of the other students B, C and D are also switched to the writing picture of the student A. When the student A writes, the teacher can also observe the learning states of the three students through the pictures of the student B, the student C and the student D displayed in the small screen area. The teacher client can also set a question answer end button, the teacher selects the question answer end, and the large screen picture of the student client is switched to the video picture of the teacher.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (10)

1. A distance teaching system, comprising: the system comprises a plurality of front-end devices, a plurality of clients and a cloud platform; the front-end equipment and the clients respectively correspond to one user, and are connected with the cloud platform;
the front-end equipment respectively collects video information and temperature information of corresponding users in real time;
the front-end equipment generates behavior information according to the video information and transmits the behavior information, the temperature information and the video information to the cloud platform;
the cloud platform generates a record file of a corresponding user according to the behavior information, the temperature information and the video information;
the cloud platform records temperature abnormal information according to the temperature information and the temperature threshold value in the record file of the corresponding user, generates an alarm signal according to the temperature abnormal information and sends the alarm signal to the client of the user corresponding to the temperature abnormal information;
and the client gives an alarm according to the alarm signal.
2. The distance teaching system according to claim 1, wherein said front-end device transmits said video information to said cloud platform in real time;
the front-end equipment generates behavior information according to the video information;
the front-end equipment periodically transmits the behavior information and the temperature information to the cloud platform.
3. Remote teaching system according to claim 1,
the cloud platform compares the temperature information with the temperature threshold, and if the temperature information exceeds the temperature threshold, the temperature abnormal information is recorded once;
and the cloud platform compares the recording times of the temperature abnormal information with preset times, and if the recording times of the temperature abnormal information exceed the preset times, the cloud platform generates an alarm signal and sends the alarm signal to a client of a temperature abnormal information user.
4. Remote teaching system according to claim 1,
the front-end equipment compares behavior information corresponding to the video information with preset behaviors;
if the front-end equipment judges that the behavior information identical to the preset behavior exists, generating a front-end equipment adjusting signal;
and the front-end equipment adjusts the video information acquisition angle and the focal length according to the front-end equipment adjustment signal.
5. Remote teaching system according to claim 1,
the cloud platform acquires multiple paths of video information acquired by the front-end equipment and behavior information corresponding to the corresponding video information, and sends the multiple paths of video information to the corresponding client side for display according to the behavior information.
6. Remote teaching system according to claim 5,
the cloud platform compares behavior information corresponding to the video information with preset behaviors;
and the cloud platform sends the video information corresponding to the behavior information with the same preset behavior to the client for displaying.
7. Remote teaching system according to claim 5,
the cloud platform compares behavior information corresponding to the video information with preset behaviors;
the cloud platform sends all video information to the client, the client displays the video information corresponding to the behavior information with the same preset behavior in the first display area, and the rest of the video information is displayed in a plurality of second display areas; the area of the first display area is larger than that of the second display area.
8. Remote teaching system according to claim 1,
the client comprises a first client and a second client; the user corresponding to the first client comprises a student, and the user corresponding to the second client is a teacher;
the cloud platform acquires multi-channel video information acquired by a plurality of front-end devices and a control instruction sent by a second client; the control instruction comprises specified video information;
and the cloud platform sends the corresponding video information to the first client side for display according to the control instruction, and sends all the video information to the second client side for display.
9. The remote instructional system of claim 5, wherein said client comprises a first client and a second client; the user corresponding to the first client comprises a student, and the user corresponding to the second client is a teacher;
the cloud platform transmits video information collected by front-end equipment corresponding to the second client to the first client for display;
the cloud platform sends all the video information to the second client, and the client displays the video information collected by the front-end equipment corresponding to the second client in the first display area and displays the rest of the video information in a plurality of second display areas;
the second client side obtains user input information, wherein the user input information comprises appointed video information; and displaying the corresponding video information in a first display area according to the user input information.
10. Remote teaching system according to claim 1,
the cloud platform is deployed on a 5G mobile electronic commerce platform.
CN202011023557.9A 2020-09-25 2020-09-25 Remote teaching system Pending CN112163761A (en)

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