CN112380261A - Remote tutoring method, device and system based on 5G technology and storage medium - Google Patents

Remote tutoring method, device and system based on 5G technology and storage medium Download PDF

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CN112380261A
CN112380261A CN202011081517.XA CN202011081517A CN112380261A CN 112380261 A CN112380261 A CN 112380261A CN 202011081517 A CN202011081517 A CN 202011081517A CN 112380261 A CN112380261 A CN 112380261A
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determining
technology
user terminal
user
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曹小伍
曹景溢
雷铭杰
曹得明
钱隆
郑正
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Hangzhou Xiangyi Technology Co Ltd
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    • G09B7/00—Electrically-operated teaching apparatus or devices working with questions and answers
    • G09B7/02—Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
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Abstract

The invention discloses a remote tutoring method, a device, a system and a computer readable storage medium based on 5G technology, the steps of the method include: after a request instruction for starting remote tutoring is detected, starting acquisition equipment provided with a fifth generation communication technology 5G communication module based on the request instruction, determining corresponding action data based on the acquisition equipment, and determining a corresponding face image based on the action data; determining a corresponding user identity based on the face image, and determining a corresponding user terminal based on the user identity; the method comprises the steps of obtaining learning data corresponding to a user terminal, determining corresponding reply data based on the learning data, and sending the reply data to the user terminal for remote tutoring. According to the invention, the action data is determined through the acquisition equipment provided with the 5G communication module, the corresponding user terminal is determined based on the action data, and the corresponding reply data is determined based on the learning data, so that the learning data of the user terminal can be replied in real time, and the learning efficiency is improved.

Description

Remote tutoring method, device and system based on 5G technology and storage medium
Technical Field
The present invention relates to the field of 5G (5th Generation Wireless Systems, fifth Generation mobile communication technology), and in particular, to a remote tutoring method, apparatus, system and storage medium based on 5G technology.
Background
At present, a remote tutor method is mainly characterized in that a teacher sends data to be answered to student terminals corresponding to students through a teacher terminal, then the students answer the data to be answered in the student terminals, then the student terminals send the answer data to the teacher terminal, the teacher reviews the received answer data in the teacher terminal, and then the teacher sends the review data to the student terminals. Therefore, the students can only receive the review data of the teacher after all the data to be solved are solved, so that the students cannot receive the review data of the data to be solved in real time. Therefore, the learning efficiency of the current remote tutoring method is low.
Disclosure of Invention
The invention mainly aims to provide a remote tutoring method, a device and a system based on a 5G technology and a computer readable storage medium, and aims to solve the technical problem that the existing remote tutoring method is low in learning efficiency.
In order to achieve the above object, the present invention provides a remote tutoring method based on 5G technology, where the remote tutoring method based on 5G technology includes the following steps:
after a request instruction for starting remote tutoring is detected, starting acquisition equipment provided with a fifth generation communication technology 5G communication module based on the request instruction, determining corresponding action data based on the acquisition equipment, and determining a corresponding face image based on the action data;
determining a corresponding user identity based on the face image, and determining a corresponding user terminal based on the user identity;
and acquiring learning data corresponding to the user terminal, determining corresponding reply data based on the learning data, and sending the reply data to the user terminal for remote tutoring.
Optionally, the step of acquiring learning data corresponding to the user terminal, and determining corresponding reply data based on the learning data includes:
acquiring learning data corresponding to the user terminal, and detecting whether data to be solved exist in the learning data, wherein the data to be solved carries a preset mark;
and if the data to be solved exist is detected, inputting the data to be solved into a database, analyzing the data to be solved based on the database, and determining corresponding answer data.
Optionally, the obtaining learning data corresponding to the user terminal and detecting whether there is data to be solved in the learning data, where after the step of carrying a preset flag in the data to be solved, the method further includes:
if the data to be solved does not exist, detecting whether user voice exists or not;
and if the user voice is detected to exist, acquiring the user voice, analyzing the voice content in the user voice, and determining the data to be solved based on the voice content.
Optionally, after the step of inputting the data to be solved into a database, analyzing the data to be solved based on the database, and determining corresponding answer data if the data to be solved is detected to exist, the method further includes:
determining a data field and a difficulty level corresponding to the data to be answered, and determining corresponding comprehensive data based on the data field and the difficulty level;
and associating the comprehensive data with the user identity corresponding to the user terminal, and feeding back the associated data to the education terminal corresponding to the user identity.
Optionally, the step of determining a corresponding user identity based on the face image, and determining a corresponding user terminal based on the user identity includes:
determining an identity label bound with the face image, and determining a user identity corresponding to the face image based on the identity label;
and determining the equipment identification associated with the user identity, and determining the user terminal corresponding to the user identity based on the equipment identification.
Optionally, the step of determining corresponding motion data based on the acquisition device and determining a corresponding facial image based on the motion data includes:
acquiring corresponding video data through the acquisition equipment, and detecting whether action data of lifting hands or/and standing exists in the video data;
if the action data are detected to exist, face data corresponding to the action data are determined, face feature areas in the face data are intercepted, and the face image is determined.
Optionally, after the steps of obtaining the learning data corresponding to the user terminal, determining corresponding reply data based on the learning data, and sending the reply data to the user terminal for remote guidance, the method further includes:
sending an inquiry instruction to the user terminal at intervals of preset duration, and detecting whether a reply instruction corresponding to the inquiry instruction is received or not;
if the reply instruction is detected to be received, detecting whether an instruction identifier in the reply instruction is matched with a preset identifier;
and if the instruction identification is not matched with the preset identification, starting voice to answer the reply data corresponding to the reply data.
In addition, to achieve the above object, the present invention provides a remote tutoring apparatus based on 5G technology, including:
the starting module is used for starting acquisition equipment provided with a fifth generation communication technology 5G communication module based on a request instruction after the request instruction for starting remote tutoring is detected;
the determining module is used for determining corresponding action data based on the acquisition equipment and determining a corresponding face image based on the action data; determining a corresponding user identity based on the face image, and determining a corresponding user terminal based on the user identity;
the acquisition module is used for acquiring learning data corresponding to the user terminal;
the determining module is further configured to determine corresponding reply data based on the learning data;
and the tutoring module is used for sending the reply data to the user terminal for remote tutoring.
In addition, to achieve the above object, the present invention further provides a remote tutoring system based on 5G technology, where the remote tutoring system based on 5G technology includes a memory, a processor, and a remote tutoring program based on 5G technology stored in the memory and running on the processor, and when the remote tutoring program based on 5G technology is completed by the processor, the steps of the remote tutoring method based on 5G technology as described above are implemented.
In addition, to achieve the above object, the present invention also provides a computer readable storage medium, on which a remote tutoring program based on 5G technology is stored, and when the remote tutoring program based on 5G technology is completed by a processor, the steps of the remote tutoring method based on 5G technology as described above are implemented.
According to the invention, after a request instruction for starting remote tutoring is detected, the acquisition equipment provided with the 5G communication module is started based on the request instruction, corresponding action data is determined based on the acquisition equipment, and a corresponding face image is determined based on the action data; determining a corresponding user identity based on the face image, and determining a corresponding user terminal based on the user identity; the method comprises the steps of obtaining learning data corresponding to a user terminal, determining corresponding reply data based on the learning data, and sending the reply data to the user terminal for remote tutoring. Therefore, in the process of remote tutoring, action data are rapidly acquired in real time through the acquisition equipment provided with the 5G communication module, then the corresponding face image is determined based on the action data, the corresponding user identity is determined based on the face image, the corresponding user terminal is determined based on the user identity, learning data corresponding to the user terminal is obtained, corresponding reply data are determined based on the learning data, and the reply data are sent to the user terminal for remote tutoring, so that the learning data of the user terminal can be responded in real time, and the learning efficiency is improved.
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FIG. 1 is a schematic flow chart of a first embodiment of a remote tutoring method based on 5G technology;
FIG. 2 is a schematic structural diagram of a remote guidance device based on 5G technology according to the present invention;
fig. 3 is a schematic structural diagram of a hardware operating environment according to an embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The invention provides a remote tutoring method based on 5G technology, referring to fig. 1, fig. 1 is a schematic flow chart of a first embodiment of the remote tutoring method based on 5G technology.
While a logical order is shown in the flow chart, in some cases, the steps shown or described may be performed in a different order than that shown or described herein.
The remote tutoring method based on the 5G technology comprises the following steps:
step S10, after a request instruction for starting remote tutoring is detected, starting acquisition equipment provided with a fifth generation communication technology 5G communication module based on the request instruction, determining corresponding action data based on the acquisition equipment, and determining a corresponding face image based on the action data.
After the intelligent cloud server detects a request instruction for starting remote tutoring of an education terminal, all acquisition equipment which are bound with the intelligent cloud server and are provided with 5G (5th Generation Wireless Systems, fifth Generation mobile communication technology) communication modules are started according to the request instruction, user videos corresponding to the user terminal are acquired through all the 5G acquisition equipment in real time, whether action data of preset action behaviors exist in the user videos is detected in real time, and if the action data of the preset action behaviors exist in the user videos, the intelligent cloud server determines face images corresponding to the action data of the preset action behaviors.
The education terminal is an operation terminal corresponding to a teacher or a parent. The user terminal is the operation terminal corresponding to the student. The 5G communication module includes, but is not limited to, a 5G communication antenna module and a 5G wireless communication module. The acquisition equipment comprises image acquisition module and pronunciation collection module, and the image acquisition module of taking a photograph includes but not restricted to camera and appearance of making a video recording, and pronunciation collection module is one kind and has long-range speech control's collection module. The predetermined motion activities include, but are not limited to, raising hands, standing, and opening mouth.
Further, the step S10 includes:
step a, acquiring corresponding video data through the acquisition equipment, and detecting whether the video data contains hand lifting or/and standing motion data;
and b, if the action data is detected to exist, determining face data corresponding to the action data, intercepting a face feature area in the face data, and determining the face image.
Specifically, the intelligent cloud server acquires video data corresponding to the user terminal through an image acquisition module in the acquisition device, then detects whether hand lifting or/and standing action data exist in the video data in real time, and if the hand lifting or/and standing action data exist, the intelligent cloud server acquires face data of a user corresponding to the hand lifting or/and standing through the image acquisition module, then detects a face feature area in the face data according to face attributes, and intercepts the face feature area part in the face data, so that a face image of the user corresponding to the hand lifting or/and standing is obtained. The face attributes include, but are not limited to, eyes, nose, mouth, and face contours.
And step S20, determining the corresponding user identity based on the face image, and determining the corresponding user terminal based on the user identity.
Before the intelligent cloud server collects video data of users, each user needs to register a user identity in a corresponding user terminal and perform face binding, the intelligent cloud server stores collected face images in a database of the intelligent cloud server, or each user needs to log in a personal account in the corresponding user terminal. After the face image of the user is determined, the intelligent cloud server analyzes the face characteristics of the face image corresponding to the user, matches the face characteristics of the user with the face image in the database, determines the corresponding user identity according to the matching result, and determines the user identity to bind the user terminal according to the user identity.
It should be noted that, when the user registers the user identity, the user identity and the user face need to be bound. If the user identity is registered before, the user can directly log in the personal account without re-registering when the user terminal operates. When the user selects to quit the operation in the corresponding user terminal, the intelligent cloud server clears the user identity of the user.
Further, the step S20 includes:
step c, determining an identity label bound with the face image, and determining a user identity corresponding to the face image based on the identity label;
and d, determining the equipment identification associated with the user identity, and determining the user terminal corresponding to the user identity based on the equipment identification.
Specifically, after the intelligent cloud server determines a face image of a user, an Identity identifier bound to the face image is determined, a user Identity corresponding to the Identity identifier is determined in a database, an Identity ID (Identity Document, Identity card identification number) corresponding to the user Identity is identified, an equipment identifier associated with the Identity ID is determined, and finally, a user terminal corresponding to the user Identity is determined through the equipment identifier. Wherein the identity ID is unique, i.e. each user corresponds to a unique identity ID.
In this embodiment, for example, the identity ID associated with the user terminal C01 is user01, the user identity corresponding to the identity ID user01 is U01, the identity ID associated with the user terminal C02 is user02, the user identity corresponding to the identity ID user02 is U02, the identity ID associated with the user terminal C03 is user03, and the user identity corresponding to the identity ID user03 is U03. And the intelligent cloud server determines that the user identity corresponding to the identity identifier bound by the face image is U02, determines that the identity ID corresponding to the user is user02, and determines that the user terminal corresponding to the user identity is C02.
Step S30, obtaining learning data corresponding to the user terminal, determining corresponding reply data based on the learning data, and sending the reply data to the user terminal for remote guidance.
The intelligent cloud server acquires all learning data of a current page in the user terminal, detects whether the learning data marked by the user exists in all the learning data, acquires the learning data marked by the user, answers the marked learning data, determines answer data, and finally sends the answer data to the user terminal, so that remote tutoring of the user is completed.
Further, the step S30 includes:
step e, acquiring learning data corresponding to the user terminal, and detecting whether data to be solved exist in the learning data, wherein the data to be solved carries a preset mark;
and f, if the data to be solved exist is detected, inputting the data to be solved into a database, analyzing the data to be solved based on the database, and determining corresponding answer data.
Specifically, the intelligent cloud server acquires all learning data of a current page in the user terminal, detects whether learning data carrying a preset mark exists in all the learning data, determines the learning data carrying the preset mark as data to be answered if the learning data carrying the preset mark exists, analyzes data content of the data to be answered, inputs the data to be answered into a database of the intelligent cloud server, acquires an answering method, an answering idea and an answering step corresponding to the data to be answered in the database according to the data content of the data to be answered, and determines the answering method, the answering idea and the answering step corresponding to the data to be answered as complex data. Wherein the predetermined indicia include, but are not limited to, triangles, squares, and circles.
Further, the remote tutoring method based on the 5G technology further includes:
step g, if the data to be solved does not exist, detecting whether the user voice exists or not;
and h, if the user voice is detected to exist, acquiring the user voice, analyzing the voice content in the user voice, and determining the data to be answered based on the voice content.
Specifically, if the intelligent cloud server detects that the data to be answered carrying the preset mark does not exist, whether user voice exists or not is detected through a voice acquisition module in the acquisition equipment, if the user voice exists, the intelligent cloud server acquires the user voice through the voice acquisition module, analyzes voice content in the user voice, and determines the data to be answered of the user according to a result of analyzing the voice content.
In the embodiment, after a request instruction for starting remote tutoring is detected, the acquisition equipment provided with the 5G communication module is started based on the request instruction, corresponding action data is determined based on the acquisition equipment, and a corresponding face image is determined based on the action data; determining a corresponding user identity based on the face image, and determining a corresponding user terminal based on the user identity; the method comprises the steps of obtaining learning data corresponding to a user terminal, determining corresponding reply data based on the learning data, and sending the reply data to the user terminal for remote tutoring. Therefore, in the process of remote tutoring, action data are rapidly acquired in real time through the acquisition equipment provided with the 5G communication module, then the corresponding face image is determined based on the action data, the corresponding user identity is determined based on the face image, the corresponding user terminal is determined based on the user identity, learning data corresponding to the user terminal is obtained, corresponding reply data are determined based on the learning data, and the reply data are sent to the user terminal for remote tutoring, so that the learning data of the user terminal can be responded in real time, and the learning efficiency is improved. Meanwhile, the reply data is obtained through database analysis, so that the obtained reply data result is more accurate and quicker, and the learning efficiency is better improved.
Further, a second embodiment of the remote tutoring method based on the 5G technology is proposed.
The second embodiment of the remote tutoring method based on 5G technology differs from the first embodiment of the remote tutoring method based on 5G technology in that the remote tutoring method based on 5G technology further includes:
step i, determining a data field and a difficulty level corresponding to the data to be answered, and determining corresponding comprehensive data based on the data field and the difficulty level;
and j, associating the comprehensive data with the user identity corresponding to the user terminal, and feeding back the associated data to the education terminal corresponding to the user identity.
Specifically, the intelligent cloud server determines a data field and a difficulty level corresponding to data to be answered according to data content of the data to be answered, then determines comprehensive data corresponding to the data to be answered in combination with the data field and the difficulty level, analyzes comprehensive capacity corresponding to a user according to the comprehensive data, generates a corresponding comprehensive capacity analysis graph according to the comprehensive capacity, associates the comprehensive capacity analysis graph with a user identity corresponding to the user terminal, and finally feeds back the associated data to an education terminal corresponding to the user identity.
In the embodiment, the data field and the difficulty level corresponding to the data to be answered are determined, and the corresponding comprehensive data is determined based on the data field and the difficulty level; and associating the comprehensive data with the user identity corresponding to the user terminal, and feeding back the associated data to the education terminal corresponding to the user identity. Therefore, in the embodiment, the comprehensive data corresponding to the data to be answered is determined through the data field corresponding to the data to be answered and the difficulty level, then the comprehensive ability of the user is analyzed according to the comprehensive data, the user identity is correlated, and finally the correlated data are fed back to the education terminal, so that a teacher or a parent corresponding to the education terminal can know the comprehensive ability of the user, a learning plan is made according to the comprehensive ability, and the learning efficiency is improved.
Further, a third embodiment of the remote tutoring method based on the 5G technology is proposed.
The third embodiment of the remote tutoring method based on 5G technology differs from the first or/and second embodiments of the remote tutoring method based on 5G technology in that the remote tutoring method based on 5G technology further includes:
step k, sending an inquiry command to the user terminal at intervals of preset duration, and detecting whether a reply command corresponding to the inquiry command is received;
step l, if the reply instruction is detected to be received, detecting whether an instruction identifier in the reply instruction is matched with a preset identifier;
and m, if the instruction identifier is not matched with the preset identifier, starting voice to answer the reply data corresponding to the reply data.
Specifically, the intelligent cloud server sends an inquiry instruction to the user terminal at intervals of a preset duration, inquires whether a user understands reply data, completes answering of data to be answered through the reply data, detects whether a reply instruction corresponding to the inquiry instruction made by the user is received, detects whether an instruction identifier in the reply instruction is matched with a preset identifier if the reply instruction is detected, determines that the user understands the reply data if the instruction identifier in the reply instruction is matched with the preset identifier, determines that the user finishes answering the data to be answered, determines that the user does not understand the reply data if the instruction identifier in the reply instruction is detected not to be matched with the preset identifier, and starts the voice corresponding reply data to perform voice answering. And if the answer instruction is detected not to be received, sending the inquiry instruction to the user terminal again at preset time intervals. The preset duration is set according to a requirement, and the embodiment is not limited. The expression form of the preset identifier may be chinese, or english, and if chinese is Yes or No, english may be Yes or No, and the embodiment does not limit the expression form of the preset identifier.
The embodiment sends an inquiry instruction to the user terminal by a preset time interval, and detects whether a reply instruction corresponding to the inquiry instruction is received; if the received reply instruction is detected, detecting whether an instruction identifier in the reply instruction is matched with a preset identifier; and if the instruction identification is not matched with the preset identification, starting voice corresponding reply data to perform voice answering. Therefore, in the embodiment, the corresponding reply instruction is determined according to the query instruction, the understanding of the user on the reply data is determined according to the instruction identification in the reply instruction, and then the user is answered in different modes, so that the mastering degree of the user on the reply data can be determined in real time, different coaching is performed on the user with different mastering degrees, and the learning efficiency is improved.
In addition, the present invention also provides a remote guidance device based on 5G technology, and referring to fig. 2, the remote guidance device based on 5G technology includes:
the starting module 10 is configured to start, based on a request instruction for starting the remote guidance, an acquisition device equipped with a fifth-generation communication technology 5G communication module after the request instruction is detected;
a determining module 20, configured to determine corresponding motion data based on the acquisition device, and determine a corresponding face image based on the motion data; determining a corresponding user identity based on the face image, and determining a corresponding user terminal based on the user identity;
an obtaining module 30, configured to obtain learning data corresponding to the user terminal;
the determination module 20 is further configured to determine corresponding reply data based on the learning data;
and the tutoring module 40 is configured to send the reply data to the user terminal for remote tutoring.
Further, the obtaining module 30 is further configured to obtain learning data corresponding to the user terminal.
Further, the determining module 20 includes:
the detection unit is used for detecting whether data to be solved exist in the learning data or not, wherein the data to be solved carries a preset mark;
the input unit is used for inputting the data to be solved into a database if the data to be solved are detected to exist;
and the analysis unit is used for analyzing the data to be solved based on the database and determining corresponding reply data.
Further, the remote tutoring device based on 5G technology further includes:
the first detection module is used for detecting whether user voice exists or not if the data to be solved does not exist;
the acquisition module is used for acquiring the user voice if the user voice is detected to exist;
the analysis module is used for analyzing the voice content in the user voice;
the determining module 20 is further configured to determine the data to be solved based on the voice content; determining a data field and a difficulty level corresponding to the data to be answered, and determining corresponding comprehensive data based on the data field and the difficulty level;
the association module is used for associating the comprehensive data with the user identity corresponding to the user terminal;
and the feedback module is used for feeding the associated data back to the education terminal corresponding to the user identity.
Further, the determining module 20 is further configured to determine an identity identifier bound to the facial image, and determine a user identity corresponding to the facial image based on the identity identifier; and determining the equipment identification associated with the user identity, and determining the user terminal corresponding to the user identity based on the equipment identification.
Furthermore, the acquisition module is also used for acquiring corresponding video data through the acquisition equipment;
the first detection module is further used for detecting whether action data of lifting hands or/and standing exists in the video data;
the determining module 20 is further configured to determine, if the motion data is detected to exist, face data corresponding to the motion data;
further, the determining module 20 further includes:
and the intercepting unit is used for intercepting the face characteristic area in the face data and determining the face image.
Further, the remote tutoring device based on 5G technology further includes:
the sending module is used for sending an inquiry instruction to the user terminal at intervals of preset duration;
the second detection module is used for detecting whether a reply instruction corresponding to the inquiry instruction is received or not; if the reply instruction is detected to be received, detecting whether an instruction identifier in the reply instruction is matched with a preset identifier;
the starting module 10 is further configured to start a voice to perform a voice answer corresponding to the reply data if it is detected that the instruction identifier is not matched with the preset identifier.
The specific implementation of the remote tutoring device based on the 5G technology in the present invention is substantially the same as the above-mentioned embodiments of the remote tutoring method based on the 5G technology, and is not described herein again.
In addition, the invention also provides a remote tutoring system based on the 5G technology. As shown in fig. 3, fig. 3 is a schematic structural diagram of a hardware operating environment according to an embodiment of the present invention.
It should be noted that fig. 3 is a schematic structural diagram of a hardware operating environment of a remote tutoring system based on the 5G technology.
As shown in fig. 3, the remote tutoring system based on the 5G technology may include: a processor 1001, such as a CPU (Central Processing Unit), a memory 1005, a user interface 1003, a network interface 1004, and a communication bus 1002. A communication bus 1002 is used to enable connection communications between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a keyboard (board), and the optional user interface 1003 may include a standard wired interface (e.g., a USB (Universal Serial Bus) interface), and a wireless interface (e.g., a bluetooth interface). The network interface 1004 may optionally include a standard wired interface, a Wireless interface (e.g., a WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Optionally, the remote tutoring system based on 5G technology may further include RF (Radio Frequency) circuit, sensor, WiFi module, and the like.
Those skilled in the art will appreciate that the 5G technology based remote coaching system architecture shown in fig. 3 does not constitute a limitation of a 5G technology based remote coaching system and may include more or fewer components than shown, or some components in combination, or a different arrangement of components.
As shown in fig. 3, a memory 1005, which is a kind of computer storage medium, may include therein an operating device, a network communication module, a user interface module, and a remote tutor program based on 5G technology. The operating device is a program for managing and controlling hardware and software resources of the remote tutoring system based on the 5G technology, and supports the running of the remote tutoring program based on the 5G technology and other software or programs.
In the remote tutoring system based on 5G technology shown in the figure, the user interface 1003 is mainly used for the education terminal or/and the user terminal to receive or transmit data or/and instructions; the network interface 1004 is mainly used for the intelligent cloud server to receive a request instruction of the education terminal, receive data to be answered of the user terminal, send reply data to the user terminal and feed back comprehensive data to the education terminal; the processor 1001 may be configured to call the remote tutor program based on the 5G technology stored in the memory 1005 and complete the steps of the control method of the remote tutor system based on the 5G technology as described above.
The specific implementation of the remote tutoring system based on the 5G technology of the present invention is substantially the same as the embodiments of the remote tutoring method based on the 5G technology, and is not described herein again.
Furthermore, an embodiment of the present invention further provides a computer-readable storage medium, where a remote tutoring program based on 5G technology is stored on the computer-readable storage medium, and when the remote tutoring program based on 5G technology is completed by a processor, the steps of the remote tutoring method based on 5G technology as described above are implemented.
The specific implementation manner of the computer-readable storage medium of the present invention is substantially the same as that of each embodiment of the remote tutoring method based on the 5G technology, and is not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation manner in many cases. Based on such understanding, the technical solution of the present invention may be embodied in the form of software goods, which are stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk), and include instructions for enabling a remote tutoring system based on 5G technology to perform the method according to the embodiments of the present invention.

Claims (10)

1. A remote tutoring method based on 5G technology is characterized in that the remote tutoring method based on 5G technology comprises the following steps:
after a request instruction for starting remote tutoring is detected, starting acquisition equipment provided with a fifth generation communication technology 5G communication module based on the request instruction, determining corresponding action data based on the acquisition equipment, and determining a corresponding face image based on the action data;
determining a corresponding user identity based on the face image, and determining a corresponding user terminal based on the user identity;
and acquiring learning data corresponding to the user terminal, determining corresponding reply data based on the learning data, and sending the reply data to the user terminal for remote tutoring.
2. The remote tutoring method based on 5G technology as claimed in claim 1, wherein said step of obtaining the corresponding learning data of the user terminal, and determining the corresponding reply data based on the learning data comprises:
acquiring learning data corresponding to the user terminal, and detecting whether data to be solved exist in the learning data, wherein the data to be solved carries a preset mark;
and if the data to be solved exist is detected, inputting the data to be solved into a database, analyzing the data to be solved based on the database, and determining corresponding answer data.
3. The remote tutoring method based on 5G technology as claimed in claim 2, wherein said obtaining learning data corresponding to the user terminal, and detecting whether there is data to be solved in the learning data, wherein after the step of carrying the preset flag by the data to be solved, further comprises:
if the data to be solved does not exist, detecting whether user voice exists or not;
and if the user voice is detected to exist, acquiring the user voice, analyzing the voice content in the user voice, and determining the data to be solved based on the voice content.
4. The remote tutoring method based on 5G technology as claimed in claim 2, wherein said step of inputting said data to be solved into a database if it is detected that said data to be solved exists, analyzing said data to be solved based on said database, and determining corresponding answer data further comprises:
determining a data field and a difficulty level corresponding to the data to be answered, and determining corresponding comprehensive data based on the data field and the difficulty level;
and associating the comprehensive data with the user identity corresponding to the user terminal, and feeding back the associated data to the education terminal corresponding to the user identity.
5. The remote tutoring method based on 5G technology as claimed in claim 1, wherein the step of determining the corresponding user identity based on the face image and the corresponding user terminal based on the user identity comprises:
determining an identity label bound with the face image, and determining a user identity corresponding to the face image based on the identity label;
and determining the equipment identification associated with the user identity, and determining the user terminal corresponding to the user identity based on the equipment identification.
6. The remote tutoring method based on 5G technology as claimed in claim 1, wherein the step of determining corresponding motion data based on the acquisition device and determining corresponding face image based on the motion data comprises:
acquiring corresponding video data through the acquisition equipment, and detecting whether action data of lifting hands or/and standing exists in the video data;
if the action data are detected to exist, face data corresponding to the action data are determined, face feature areas in the face data are intercepted, and the face image is determined.
7. The remote tutoring method based on 5G technology as claimed in any of claims 1 to 6, wherein after the steps of obtaining the learning data corresponding to the user terminal, determining the corresponding reply data based on the learning data, and sending the reply data to the user terminal for remote tutoring, further comprising:
sending an inquiry instruction to the user terminal at intervals of preset duration, and detecting whether a reply instruction corresponding to the inquiry instruction is received or not;
if the reply instruction is detected to be received, detecting whether an instruction identifier in the reply instruction is matched with a preset identifier;
and if the instruction identification is not matched with the preset identification, starting voice to answer the reply data corresponding to the reply data.
8. A remote tutoring device based on 5G technology, characterized in that, the remote tutoring device based on 5G technology includes:
the starting module is used for starting acquisition equipment provided with a fifth generation communication technology 5G communication module based on a request instruction after the request instruction for starting remote tutoring is detected;
the determining module is used for determining corresponding action data based on the acquisition equipment and determining a corresponding face image based on the action data; determining a corresponding user identity based on the face image, and determining a corresponding user terminal based on the user identity;
the acquisition module is used for acquiring learning data corresponding to the user terminal;
the determining module is further configured to determine corresponding reply data based on the learning data;
and the tutoring module is used for sending the reply data to the user terminal for remote tutoring.
9. A remote tutoring system based on 5G technology, in which the remote tutoring system based on 5G technology comprises a memory, a processor and a remote tutoring program based on 5G technology stored in the memory and running on the processor, and when the remote tutoring program based on 5G technology is completed by the processor, the steps of the remote tutoring method based on 5G technology as claimed in any one of claims 1 to 7 are implemented.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a remote tutoring program based on 5G technology, which when executed by a processor implements the steps of the remote tutoring method based on 5G technology according to any of claims 1 to 7.
CN202011081517.XA 2020-10-10 2020-10-10 Remote tutoring method, device and system based on 5G technology and storage medium Pending CN112380261A (en)

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