CN112256521A - Online classroom-based exception handling method and device, storage medium and terminal - Google Patents
Online classroom-based exception handling method and device, storage medium and terminal Download PDFInfo
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- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3089—Monitoring arrangements determined by the means or processing involved in sensing the monitored data, e.g. interfaces, connectors, sensors, probes, agents
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
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- H04L41/0654—Management of faults, events, alarms or notifications using network fault recovery
Abstract
The embodiment of the application discloses an exception handling method and device based on an online classroom, a storage medium and a terminal, and belongs to the technical field of computers. The method comprises the following steps: the server monitors abnormal events occurring at the user terminal in the online classroom, determines abnormal reasons of the abnormal events, determines corresponding abnormal processing guide information based on the abnormal reasons, and sends the abnormal processing guide information to the user terminal; or the abnormal events are processed based on the abnormal reasons, so that the processing efficiency of the abnormal events occurring in the online classroom can be improved, and the user can be helped to recover normal online teaching in time.
Description
Technical Field
The application relates to the technical field of computers, in particular to an exception handling method and device based on an online classroom, a storage medium and a terminal.
Background
With the rapid development of the internet, the learning mode of online teaching is gradually becoming a preferred learning mode for more and more users, and users can learn online through teaching videos, teaching courseware and the like in online classes, but in the related technology, some abnormal situations (such as the teaching videos or the teaching courseware can not be displayed normally) may occur in the learning process of the users, and the users are usually required to call the working personnel for setting courses to seek help, so that the mode for solving the current problems is low in efficiency, and even the users miss the learning of the online courses (such as live classes), thereby causing poor learning experience for the users.
Disclosure of Invention
The embodiment of the application provides an exception handling method, device, storage medium and terminal based on an online classroom, which can solve the problems of untimely and low efficiency of a solving mode aiming at an exception event in the online classroom. The technical scheme is as follows:
in a first aspect, an embodiment of the present application provides an exception handling method based on an online classroom, where the method includes:
monitoring abnormal events occurring at a user terminal in an online classroom;
determining an abnormal cause of the abnormal event;
determining corresponding abnormal processing guide information based on the abnormal reason, and sending the abnormal processing guide information to the user terminal; wherein the exception handling guide information comprises at least one of voice information and text information; or
And processing the abnormal event based on the abnormal reason.
In a second aspect, an embodiment of the present application provides an online classroom-based exception handling apparatus, including:
the monitoring module is used for monitoring abnormal events occurring in the user terminal in the online classroom;
the determining module is used for determining an abnormal reason of the abnormal event;
the processing module is used for determining corresponding abnormal processing guide information based on the abnormal reason and sending the abnormal processing guide information to the user terminal; wherein the exception handling guide information comprises at least one of voice information and text information; or
The exception event processing module is used for processing the exception event based on the exception reason.
In a third aspect, embodiments of the present application provide a computer storage medium storing a plurality of instructions adapted to be loaded by a processor and to perform the above-mentioned method steps.
In a fourth aspect, an embodiment of the present application provides a terminal, which may include: a display screen, a processor and a memory; wherein the memory stores a computer program adapted to be loaded by the processor and to perform the above-mentioned method steps.
The beneficial effects brought by the technical scheme provided by some embodiments of the application at least comprise:
when the scheme of the embodiment of the application is executed, the server monitors abnormal events occurring in the user terminal in an online classroom, determines abnormal reasons of the abnormal events, determines corresponding abnormal processing guide information based on the abnormal reasons, and sends the abnormal processing guide information to the user terminal; or the abnormal events are processed based on the abnormal reasons, so that the processing efficiency of the abnormal events occurring in the online classroom can be improved, and the user can be helped to recover normal online teaching in time.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a diagram of a system architecture provided by an embodiment of the present application;
FIG. 2 is a flowchart illustrating an online classroom-based exception handling method according to an embodiment of the present disclosure;
FIG. 3 is another schematic flow chart diagram of an online classroom-based exception handling method according to an embodiment of the present application;
FIG. 4 is a schematic structural diagram of an apparatus provided in an embodiment of the present application;
fig. 5 is a schematic structural diagram of an apparatus according to an embodiment of the present disclosure.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
Fig. 1 is a schematic diagram illustrating an exemplary system architecture 100 to which an online classroom-based exception handling method or an online classroom-based exception handling apparatus according to an embodiment of the present application may be applied.
As shown in fig. 1, the system architecture 100 may include one or more of terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 is a medium used to provide communication links between the terminal devices 101, 102, 103 and the server 105, and various communication client applications may be installed on the terminal devices 101, 102, 103, such as: video recording application, video playing application, voice interaction application, search application, instant messaging tool, mailbox client, social platform software, etc. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
The user may use the terminal devices 101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. The terminal devices 101, 102, 103 may be various electronic devices having a display screen, including but not limited to smart phones, tablet computers, portable computers, desktop computers, and the like. The network 104 may include various types of wired or wireless communication links, such as: the wired communication link includes an optical fiber, a twisted pair wire, or a coaxial cable, and the WIreless communication link includes a bluetooth communication link, a WIreless-FIdelity (Wi-Fi) communication link, or a microwave communication link, etc. The terminal apparatuses 101, 102, and 103 may be hardware or software. When the terminal apparatuses 101, 102, and 103 are software, they may be installed in the electronic apparatuses listed above. Which may be implemented as multiple software or software modules (e.g., to provide distributed services) or as a single software or software module, and is not particularly limited herein. When the terminal devices 101, 102, and 103 are hardware, the terminal devices may further include a display device and a camera, the display device may display various devices capable of implementing a display function, and the camera is used to collect a video stream; for example: the display device may be a Cathode ray tube (CR) display, a Light-emitting diode (LED) display, an electronic ink screen, a Liquid Crystal Display (LCD), a Plasma Display Panel (PDP), or the like. The user can view information such as displayed text, pictures, videos, etc. using the display device on the terminal device 101, 102, 103.
It should be noted that the online classroom-based exception handling method provided in the embodiment of the present application is generally executed by the server 105, and accordingly, the online classroom-based exception handling apparatus is generally disposed in the server 105. The server 105 may be a server that provides various services, and the server 105 may be hardware or software. When the server 105 is hardware, it may be implemented as a distributed server cluster composed of a plurality of servers, or may be implemented as a single server. When the server 105 is software, it may be implemented as a plurality of software or software modules (for example, for providing distributed services), or may be implemented as a single software or software module, and is not limited in particular herein.
The server 105 in the present application may be a terminal device providing various services, such as: the server monitors abnormal events occurring at the user terminal in the online classroom, determines abnormal reasons of the abnormal events, determines corresponding abnormal processing guide information based on the abnormal reasons, and sends the abnormal processing guide information to the user terminal; or processing the abnormal event based on the abnormal reason.
It should be noted that, the online classroom-based exception handling method provided in the embodiment of the present application may be executed by one or more of the terminal devices 101, 102, and 103, and/or the server 105, and accordingly, the online classroom-based exception handling apparatus provided in the embodiment of the present application is generally disposed in a corresponding terminal device, and/or the server 105, but the present application is not limited thereto.
It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
The online classroom-based exception handling method provided by the embodiment of the present application will be described in detail below with reference to fig. 2 to 3. Referring to fig. 2, a schematic flow chart of an exception handling method based on an online classroom is provided in an embodiment of the present application. As shown in fig. 2, the method of the embodiment of the present application may include the steps of:
s201, monitoring abnormal events occurring in the user terminal in the online classroom.
Wherein, online classroom is the place that the user studied and the teacher imparts knowledge to students, can include one or more terminal (user terminal and teacher terminal) in the online classroom, the teacher terminal indicates the terminal that is used for the teacher to give lessons, user terminal is the terminal that is used for the user to give lessons, each terminal can be in the network classroom carry out teaching interactive operation such as class, pronunciation chat, characters chat, each terminal in the online classroom can receive and show the data that other terminal teaching interactive operation generated, if: teaching videos, teaching courseware, voice messages, text messages, and the like. The abnormal event refers to a fault (such as hardware fault, software fault, network fault and the like) occurring in an online classroom, and the fault can directly or indirectly cause that a user cannot continuously complete online teaching.
Generally, the server monitors abnormal events occurring in an online classroom based on a preset time interval, particularly abnormal events occurring at the user terminal, and avoids the situation that the user cannot continue online teaching through the user terminal due to the abnormal events occurring at the user terminal.
S202, determining an abnormal reason of the abnormal event.
The abnormal reason refers to a reason why the abnormal event occurs, that is, an abnormal type corresponding to the abnormal event, and may be a hardware fault reason, a software fault reason, a network fault reason, or the like, and specifically, the abnormal reason may include at least one of a hardware abnormal reason, a network abnormal reason, and an online classroom abnormal reason. The reasons that the user cannot perform online teaching on the user terminal side can be classified as abnormal reasons.
Generally, when the server monitors an abnormal event from the user terminal, the server may determine an abnormal cause corresponding to the abnormal event by analyzing related data and/or related parameters of software and hardware at the user terminal, and the server may receive microphone audio data and/or related parameters from the user terminal, where the related parameters may include: the server may determine an anomaly cause for the anomaly event based on the microphone audio data and/or related parameters.
In one possible implementation, determining the cause of the anomaly event may include:
the server receives microphone audio data from a user terminal, analyzes waveform parameters of the microphone audio data, performs text conversion on the microphone audio data to obtain text information when the waveform parameters of the microphone audio data are determined to be normal, performs semantic analysis on the text information to determine abnormal reasons corresponding to the text information, wherein the abnormal reasons can include: at least one of a hardware exception cause, a network exception cause, and an online classroom exception cause.
In one possible implementation, determining the cause of the anomaly event may include:
the server receives microphone audio data from the user terminal, analyzes waveform parameters of the microphone audio data, and determines that the abnormality cause is hardware abnormality of the microphone when determining that the waveform parameters of the microphone audio data are abnormal.
In one possible implementation, determining the cause of the anomaly event may include:
the server detects a network signal quality parameter of the user terminal, and the network signal quality parameter may include: and when the network signal quality parameter does not meet the preset signal quality parameter, determining the abnormal reason as the network abnormal reason.
In one possible implementation, determining the cause of the anomaly event may include:
the server detects the online classroom state parameters of the user terminal, and the online classroom state parameters comprise: and (3) interactive response time and/or courseware page turning time, and when the online classroom state parameters do not meet the preset state parameters, determining that the reason of the abnormality is the abnormality of the online classroom.
S203, determining corresponding abnormal processing guide information based on the abnormal reason, and sending the abnormal processing guide information to the user terminal; or processing the abnormal event based on the abnormal reason.
The abnormal processing guide information comprises at least one of voice information and text information, the abnormal processing guide information is used for displaying on an interface of the user terminal, and the abnormal processing guide information is used for indicating a user to process an abnormal event by himself.
Generally, after determining an abnormal reason corresponding to an abnormal event, a server may determine an operation to be performed by analyzing whether the abnormal reason is the same as an abnormal reason in a preset reason set; if the abnormal reason is determined to be the same as the abnormal reason in the preset reason set, determining corresponding abnormal processing guide information based on the abnormal reason, and sending the abnormal processing guide information to the user terminal to instruct the user to process the abnormal event by himself, such as: when the hardware fault of the microphone at the user terminal side is determined, the server can send guide information for detecting the connection state of the microphone to the user terminal; if the abnormal reason is determined to be different from the abnormal reason in the preset reason set, processing the abnormal event based on the abnormal reason, such as: when the server detects that the online classroom connection state parameter does not meet the preset connection state parameter, the abnormal reason can be determined to be the online classroom abnormal reason, and online classroom connection with the user terminal is reestablished based on the online classroom abnormal reason.
When the scheme of the embodiment of the application is executed, the server monitors abnormal events occurring in the user terminal in an online classroom, determines abnormal reasons of the abnormal events, determines corresponding abnormal processing guide information based on the abnormal reasons, and sends the abnormal processing guide information to the user terminal; or the abnormal events are processed based on the abnormal reasons, so that the processing efficiency of the abnormal events occurring in the online classroom can be improved, and the user can be helped to recover normal online teaching in time.
Referring to fig. 3, a schematic flow chart of an online classroom-based exception handling method is provided for an embodiment of the present application, where the online classroom-based exception handling method may include the following steps:
s301, monitoring abnormal events occurring in the user terminal in the online classroom.
Wherein, online classroom is the place that the user studied and the teacher imparts knowledge to students, can include one or more terminal (user terminal and teacher terminal) in the online classroom, the teacher terminal indicates the terminal that is used for the teacher to give lessons, user terminal is the terminal that is used for the user to give lessons, each terminal can be in the network classroom carry out teaching interactive operation such as class, pronunciation chat, characters chat, each terminal in the online classroom can receive and show the data that other terminal teaching interactive operation generated, if: teaching videos, teaching courseware, voice messages, text messages, and the like. The abnormal event refers to a fault (such as hardware fault, software fault, network fault and the like) occurring in an online classroom, and the fault can directly or indirectly cause that a user cannot continuously complete online teaching.
Generally, the server monitors abnormal events occurring in an online classroom based on a preset time interval, particularly abnormal events occurring at the user terminal, and avoids the situation that the user cannot continue online teaching through the user terminal due to the abnormal events occurring at the user terminal.
S302, microphone audio data from a user terminal is received.
The microphone audio data refers to digitized sound data generated at a microphone at the user terminal, and sound emitted by a user or sound in the environment where the user is located can be collected by the microphone at the user terminal and converted into digitized sound data.
Generally, after a server monitors an abnormal event occurring at a user terminal in an online classroom, the server needs to analyze the reason for the abnormal event occurring at the user terminal, and can determine whether a microphone hardware fault exists by acquiring microphone audio data from the user terminal and analyzing waveform parameters of the microphone audio data, wherein when the waveform parameters of the microphone audio data are abnormal, the fact that the microphone hardware at the user terminal side fails is indicated; when the waveform parameters of the microphone audio data are normal, namely the microphone hardware is normal, the microphone audio data can be further analyzed, so that the fault (abnormal) reasons described by a user can be obtained, the server can be assisted to determine the abnormal reasons, and abnormal events can be processed in time.
And S303, judging that the waveform parameters of the microphone audio data are normal.
The waveform parameters comprise frequency response parameters, signal-to-noise ratio parameters, dynamic range parameters, distortion parameters, transient response parameters and the like of the audio data, and whether the audio data of the microphone are normal or not can be determined by analyzing the waveform parameters of the audio data of the microphone, so that whether the microphone at the user terminal side works normally or not is determined.
S304, when the waveform parameters of the microphone audio data are abnormal, determining that the abnormal reason is the abnormal reason of the hardware of the microphone.
Wherein, the reason that hardware such as microphone, camera can not normally work is referred to the hardware anomaly reason, include: the microphone hardware can not process the sound data normally, the camera can not collect the user image information, the hardware such as the microphone and the camera can not be connected with the user terminal, and the user terminal can not start the hardware functions such as the microphone and the camera.
Generally, a microphone collects sound data (sound of a user, sound in the environment, etc.) of a user terminal side under a normal working condition, and by detecting and analyzing waveform parameters of microphone audio data, it can be determined whether the microphone of the user terminal side is working normally, and if the waveform parameters of the microphone audio data obtained by analysis are abnormal, it can be determined that the microphone of the user terminal side is not working normally, and the reasons why the microphone is not working normally can include: the microphone is not normally connected with the user terminal, and the hardware of the microphone is damaged.
S305, when the waveform parameters of the microphone audio data are normal, performing text conversion on the microphone audio data to obtain text information.
The text information is text type data including content information, and is another form of audio data collected by the microphone.
Generally, when it is determined that the waveform parameter of the audio data collected by the microphone is normal, that is, the microphone at the user terminal side can work normally, the server can perform text conversion on the collected microphone audio data based on a speech recognition algorithm to obtain text information, and convert the audio data into text type data, so as to facilitate subsequent acquisition of content information of the text information.
S306, performing semantic analysis on the text information to determine the abnormal reason corresponding to the text information.
The semantic analysis is a logic stage of the compiling process, and the task of the semantic analysis is to perform context-related property examination on a structurally correct source program and perform type examination so as to judge the current semantics. The causes of the abnormality may include: at least one of a hardware exception cause, a network exception cause, and an online classroom exception cause.
Generally, semantics corresponding to text information can be obtained by performing semantic analysis on the text information, whether an abnormal reason exists in the current text information can be determined based on the semantics corresponding to the text information, generally, if a user describes a current fault (abnormal) reason on a user terminal side, a server can obtain corresponding audio data, perform semantic analysis on the text information after the audio data is subjected to text conversion to obtain semantics corresponding to the audio data, preliminarily determine the current abnormal reason on the user terminal side based on the semantics, assist the server in analyzing the reason that the current user cannot continue online teaching, and improve the processing efficiency of abnormal events.
S307, when the network signal quality parameter does not meet the preset signal quality parameter, determining that the abnormal reason is the network abnormal reason.
The preset signal quality parameter refers to a parameter index lower limit value that the network signal quality parameter needs to meet under the condition that the user terminal can obtain stable network service, and may include signal quality parameter indexes such as a preset network speed threshold, a preset signal strength threshold, and a preset channel capacity.
Generally, after a server monitors an abnormal event occurring at a user terminal in an online classroom, the server needs to analyze the reason for the abnormal event occurring at the user terminal, and can determine whether a network fault exists at the user terminal by detecting a network signal quality parameter of the user terminal, where the network signal quality parameter refers to a variable affecting the user terminal to obtain a network service, and the network signal quality parameter may include: network transmission rate, signal strength, and/or channel capacity. If the network transmission rate of the user terminal is lower than the preset network speed threshold, and/or the signal intensity of the user terminal is lower than the preset signal intensity threshold, and/or the channel capacity of the user terminal is lower than the preset channel capacity, it is determined that the network signal quality parameter of the user terminal does not meet the preset signal quality parameter, that is, the abnormal event is caused by the abnormal network state of the user terminal, that is, the abnormal reason is the network abnormal reason.
The server can determine that an abnormal event occurs due to the network abnormality of the user terminal when detecting that the network signal quality parameter of the user terminal does not meet the preset signal quality parameter, and the server can enable the user terminal to reestablish network connection based on an instruction sent by the server to the user terminal and/or send guide information for reconnecting the network to the user terminal.
And S308, when the online classroom state parameter does not meet the preset state parameter, determining that the abnormal reason is the abnormal reason of the online classroom in which the abnormality occurs in the online classroom.
The preset state parameter refers to a parameter index lower limit value that the online classroom state parameter needs to meet when the user terminal can obtain a stable online classroom state, and may include: presetting response time length and/or presetting page turning time length and the like.
Generally, after a server monitors an abnormal event occurring at a user terminal in an online class, the server needs to analyze a reason for the abnormal event occurring at the user terminal, and can determine whether a reason for a fault of an application program used for a class exists by detecting an online class state parameter of the user terminal, where the online class state parameter refers to a working state parameter of the application program used for the user terminal to class, and the online class state parameter may include: interactive response time and/or courseware page turning time and the like; if the interactive response time of the class application program of the user terminal is detected to be longer than the preset response time and/or the courseware page turning time of the class application program of the user terminal is detected to be longer than the preset page turning time, it can be determined that the application program used for class on the user terminal has a fault, and at the moment, the server can send a control instruction for indicating the application program to repair the fault to the user terminal, so that the application program used for class can automatically repair the fault (abnormity) based on the control instruction.
S309, analyzing whether the abnormal reason is the same as the abnormal reason in the preset reason set.
The preset reason set refers to an abnormal reason set which can be preset, abnormal processing guide information corresponding to the abnormal reason can be determined based on the abnormal reason in the preset reason set, the server can send the abnormal processing guide information corresponding to the abnormal reason to the user terminal based on the abnormal reason in the preset reason set, and the preset reason set comprises common abnormal reasons which may exist: the reasons of hardware abnormity (such as microphone abnormity, camera abnormity, loudspeaker abnormity and the like), the reasons of network abnormity (such as poor network signal strength) and the like.
Generally, the reasons of abnormal events occurring in the user terminal in the online classroom are various, after the server analyzes data such as microphone audio data, network signal quality parameters and/or online classroom state parameters, the abnormal reason corresponding to the abnormal event occurring in the user terminal can be determined, and the server determines the processing operation to be executed according to the abnormal reason in a preset reason set; if the abnormality reason is the hardware abnormality reason and/or the network abnormality reason, namely the abnormality reason is the same as the abnormality reason in the preset reason set, the server determines corresponding abnormality processing guide information based on the hardware abnormality reason and/or the network abnormality reason, and sends the abnormality processing guide information to the user terminal; if the abnormal reason is the online classroom abnormal reason, namely the abnormal reason is different from the abnormal reason in the preset reason set, the server sends a control instruction for instructing the application program to repair the fault to the user terminal, so that the application program used for class can automatically repair the fault (abnormal) based on the control instruction.
S310, if the abnormal reason is different from the abnormal reason in the preset reason set, executing to process the abnormal event based on the abnormal reason.
Generally, when the abnormal reason is different from the abnormal reason in the preset reason set, the server sends a corresponding control instruction to the user terminal according to the abnormal reason, wherein the control instruction is used for instructing the user terminal to automatically repair the fault (abnormality) for the application program used for class; such as: when the abnormality is caused by the online classroom abnormality (the courseware on the application program used for lessons cannot be turned normally), the server sends a control instruction for indicating the application program to repair the fault to the user terminal, so that the application program used for lessons can automatically repair the fault of the courseware turning pages based on the control instruction.
S311, if the abnormal reason is the same as the abnormal reason in the preset reason set, executing the corresponding abnormal processing guide information determined based on the abnormal reason, and sending the abnormal processing guide information to the user terminal.
Generally, when the abnormal reason is the same as the abnormal reason in the preset reason set, the server determines the corresponding abnormal processing guide information according to the abnormal reason and sends the abnormal processing guide information to the user terminal; such as: when the abnormality is caused by the abnormality of the microphone, that is, when the abnormality is caused by the abnormality of the hardware, it is determined that the abnormality is the same as an abnormality cause in the preset cause set, and then it is determined that the corresponding abnormality processing guide information is "please check whether the microphone is turned on or please re-access the microphone" based on the abnormality cause of the hardware, the server will send the abnormality processing guide information to the user terminal, and the user can check the abnormality processing guide information on a display unit of the user terminal and can perform a corresponding operation of solving an abnormality event based on the abnormality processing guide information.
When the scheme of the embodiment of the application is executed, the server monitors abnormal events of the user terminal in an online classroom, receives microphone audio data from the user terminal, judges that waveform parameters of the microphone audio data are normal, determines that the abnormal reason is hardware abnormity of the microphone when the waveform parameters of the microphone audio data are abnormal, performs text conversion on the microphone audio data to obtain text information when the waveform parameters of the microphone audio data are normal, performs semantic analysis on the text information to determine the abnormal reason corresponding to the text information, detects network signal quality parameters of the user terminal, determines that the abnormal reason is a network abnormal reason when the network signal quality parameters do not meet preset signal quality parameters, detects online classroom state parameters of the user terminal, determines that the abnormal reason is abnormity of the online classroom when the online classroom state parameters do not meet the preset state parameters, whether the abnormal reason is the same as the abnormal reason in the preset reason set or not is analyzed, if the abnormal reason is not the same as the abnormal reason in the preset reason set, the abnormal event is processed based on the abnormal reason, if the abnormal reason is the same as the abnormal reason in the preset reason set, corresponding abnormal processing guide information is determined based on the abnormal reason, the abnormal processing guide information is sent to the user terminal, and therefore the reason of the abnormal event can be accurately determined, the processing efficiency of the abnormal event occurring in the online classroom is effectively improved, and the user is helped to recover normal online teaching in time.
The following are embodiments of the apparatus of the present application that may be used to perform embodiments of the method of the present application. For details which are not disclosed in the embodiments of the apparatus of the present application, reference is made to the embodiments of the method of the present application.
Referring to fig. 4, a schematic structural diagram of an online classroom-based exception handling apparatus according to an exemplary embodiment of the present application is shown. Hereinafter referred to as device 4, the device 4 may be implemented as all or part of a terminal or server, by software, hardware or a combination of both. The apparatus 4 comprises a monitoring module 401, a determining module 402, a processing module 403.
The monitoring module 401 is configured to monitor an abnormal event occurring at a user terminal in an online classroom;
a determining module 402, configured to determine an abnormal reason of the abnormal event;
a processing module 403, configured to determine corresponding exception handling guidance information based on the exception cause, and send the exception handling guidance information to the user terminal; wherein the exception handling guide information comprises at least one of voice information and text information; or
The exception event processing module is used for processing the exception event based on the exception reason.
Optionally, the determining module 402 includes:
a receiving unit for receiving microphone audio data and/or related parameters from the user terminal;
a first determining unit for determining an abnormality cause of the abnormal event based on the microphone audio data and/or the related parameter.
Optionally, the determining module 402 includes:
the conversion unit is used for performing text conversion on the microphone audio data to obtain text information when the waveform parameters of the microphone audio data are normal;
and the second determining unit is used for performing semantic analysis on the text information to determine the abnormal reason corresponding to the text information.
Optionally, the determining module 402 includes:
and the third determining unit is used for determining the hardware abnormity reason of the microphone hardware abnormity caused by the abnormity reason when the waveform parameter of the microphone audio data is abnormal.
Optionally, the determining module 402 includes:
a fourth determining unit, configured to determine that the anomaly cause is the network anomaly cause when the network signal quality parameter does not meet a preset signal quality parameter; wherein the network signal quality parameters include: network transmission rate, signal strength, and/or channel capacity.
Optionally, the determining module 402 includes:
a fifth determining unit, configured to determine, when the online classroom state parameter does not meet a preset state parameter, that the abnormality cause is an online classroom abnormality cause in which an online classroom abnormality occurs; wherein the online classroom state parameters include: the interactive response time and/or the courseware page turning time.
Optionally, the processing module 403 includes:
the first analysis unit is used for analyzing whether the abnormal reason is the same as the abnormal reason in a preset reason set or not;
and if so, executing the corresponding abnormal processing guide information determined based on the abnormal reason, and sending the abnormal processing guide information to the user terminal.
Optionally, the processing module 403 includes:
the second analysis unit is used for analyzing whether the abnormal reason is the same as the abnormal reason in a preset reason set or not;
and the second processing unit is used for executing the processing of the abnormal event based on the abnormal reason if the abnormal event is not processed.
It should be noted that, when the apparatus 4 provided in the foregoing embodiment executes the online classroom-based exception handling method, only the division of the above functional modules is taken as an example, and in practical applications, the above function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device may be divided into different functional modules to complete all or part of the above described functions. In addition, the embodiment of the online classroom-based exception handling method provided by the above embodiment belongs to the same concept, and details of the implementation process are found in the embodiment of the method, which are not described herein again.
Fig. 5 is a schematic structural diagram of an exception handling apparatus based on an online classroom according to an embodiment of the present application, which is hereinafter referred to as an apparatus 5, where the apparatus 5 may be integrated in the foregoing server or terminal device, as shown in fig. 5, the apparatus includes: memory 502, processor 501, input device 503, output device 504, and communication interface.
The memory 502 may be a separate physical unit, and may be connected to the processor 501, the input device 503, and the output device 504 via a bus. The memory 502, processor 501, input device 503, and output device 504 may also be integrated, implemented in hardware, etc.
The memory 502 is used for storing a program for implementing the above method embodiment, or various modules of the apparatus embodiment, and the processor 501 calls the program to perform the operation of the above method embodiment.
Input devices 502 include, but are not limited to, a keyboard, a mouse, a touch panel, a camera, and a microphone; the output device includes, but is not limited to, a display screen.
Communication interfaces are used to send and receive various types of messages and include, but are not limited to, wireless interfaces or wired interfaces.
Alternatively, when part or all of the distributed task scheduling method of the above embodiments is implemented by software, the apparatus may also include only a processor. The memory for storing the program is located outside the device and the processor is connected to the memory by means of circuits/wires for reading and executing the program stored in the memory.
The processor may be a Central Processing Unit (CPU), a Network Processor (NP), or a combination of a CPU and an NP.
The processor may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a Programmable Logic Device (PLD), or a combination thereof. The PLD may be a Complex Programmable Logic Device (CPLD), a field-programmable gate array (FPGA), a General Array Logic (GAL), or any combination thereof.
The memory may include volatile memory (volatile memory), such as random-access memory (RAM); the memory may also include a non-volatile memory (non-volatile memory), such as a flash memory (flash memory), a Hard Disk Drive (HDD) or a solid-state drive (SSD); the memory may also comprise a combination of memories of the kind described above.
Wherein the processor 501 calls the program code in the memory 502 for executing the following steps:
monitoring abnormal events occurring at a user terminal in an online classroom;
determining an abnormal cause of the abnormal event;
determining corresponding abnormal processing guide information based on the abnormal reason, and sending the abnormal processing guide information to the user terminal; wherein the exception handling guide information comprises at least one of voice information and text information; or
And processing the abnormal event based on the abnormal reason.
In one or more embodiments, processor 501 is further configured to:
receiving microphone audio data and/or related parameters from the user terminal;
determining an anomaly cause of the anomaly event based on the microphone audio data and/or the related parameters.
In one or more embodiments, processor 501 is further configured to:
when the waveform parameters of the microphone audio data are normal, performing text conversion on the microphone audio data to obtain text information;
and performing semantic analysis on the text information to determine an abnormal reason corresponding to the text information.
In one or more embodiments, processor 501 is further configured to:
and when the waveform parameters of the microphone audio data are abnormal, determining the hardware abnormality reason of the abnormality reason caused by the abnormality of the microphone.
In one or more embodiments, processor 501 is further configured to:
determining an anomaly cause of the anomalous event based on the microphone audio data and/or the related parameters, comprising:
when the network signal quality parameter does not meet a preset signal quality parameter, determining that the abnormality is a network abnormality reason; wherein the network signal quality parameters include: network transmission rate, signal strength, and/or channel capacity.
In one or more embodiments, processor 501 is further configured to:
when the online classroom state parameter does not meet a preset state parameter, determining that the abnormal reason is the abnormal reason of the online classroom with abnormality in the online classroom; wherein the online classroom state parameters include: the interactive response time and/or the courseware page turning time.
In one or more embodiments, processor 501 is further configured to:
analyzing whether the abnormal reason is the same as the abnormal reason in a preset reason set or not;
if so, executing the corresponding abnormal processing guide information determined based on the abnormal reason, and sending the abnormal processing guide information to the user terminal.
In one or more embodiments, processor 501 is further configured to:
analyzing whether the abnormal reason is the same as the abnormal reason in a preset reason set or not;
and if not, executing the processing of the abnormal event based on the abnormal reason.
It should be noted that, when the apparatus 5 according to the above embodiment executes the method for processing an exception in an online classroom, the above-mentioned division of each functional module is merely used as an example, and in practical applications, the above-mentioned function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device may be divided into different functional modules to complete all or part of the above-mentioned functions. In addition, the embodiment of the online classroom-based exception handling method provided by the above embodiment belongs to the same concept, and details of the implementation process are found in the embodiment of the method, which are not described herein again.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
An embodiment of the present application further provides a computer storage medium, where the computer storage medium may store a plurality of instructions, where the instructions are suitable for being loaded by a processor and executing the method steps in the embodiments shown in fig. 2 to fig. 3, and a specific execution process may refer to specific descriptions of the embodiments shown in fig. 2 to fig. 3, which is not described herein again.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Claims (12)
1. An exception handling method based on an online classroom, which is characterized by comprising the following steps:
monitoring abnormal events occurring at a user terminal in an online classroom;
determining an abnormal cause of the abnormal event;
determining corresponding abnormal processing guide information based on the abnormal reason, and sending the abnormal processing guide information to the user terminal; wherein the exception handling guide information comprises at least one of voice information and text information; or
And processing the abnormal event based on the abnormal reason.
2. The method of claim 1, wherein said determining the cause of the anomaly of the anomalous event comprises:
receiving microphone audio data and/or related parameters from the user terminal;
determining an anomaly cause of the anomaly event based on the microphone audio data and/or the related parameters.
3. The method of claim 2, wherein said determining a cause of abnormality of the abnormal event based on the microphone audio data and/or the related parameter comprises:
when the waveform parameters of the microphone audio data are normal, performing text conversion on the microphone audio data to obtain text information;
and performing semantic analysis on the text information to determine an abnormal reason corresponding to the text information.
4. The method according to claim 2 or 3, wherein the cause of abnormality comprises: at least one of a hardware exception cause, a network exception cause, and an online classroom exception cause.
5. The method of claim 4, wherein said determining a cause of abnormality of the abnormal event based on the microphone audio data and/or the related parameter comprises:
and when the waveform parameters of the microphone audio data are abnormal, determining the hardware abnormality reason of the abnormality reason caused by the abnormality of the microphone.
6. The method of claim 4, wherein the related parameter is a network signal quality parameter;
wherein the determining of the cause of the anomaly event based on the microphone audio data and/or the related parameters comprises:
when the network signal quality parameter does not meet a preset signal quality parameter, determining that the abnormal reason is the network abnormal reason; wherein the network signal quality parameters include: network transmission rate, signal strength, and/or channel capacity.
7. The method of claim 4, wherein the relevant parameter is an online classroom status parameter;
wherein the determining of the cause of the anomaly event based on the microphone audio data and/or the related parameters comprises:
when the online classroom state parameter does not meet a preset state parameter, determining that the abnormal reason is the abnormal reason of the online classroom with abnormality in the online classroom; wherein the online classroom state parameters include: the interactive response time and/or the courseware page turning time.
8. The method according to claim 1, wherein the determining corresponding exception handling guidance information based on the exception cause and sending the exception handling guidance information to the user terminal comprises:
analyzing whether the abnormal reason is the same as the abnormal reason in a preset reason set or not;
if so, executing the corresponding abnormal processing guide information determined based on the abnormal reason, and sending the abnormal processing guide information to the user terminal.
9. The method of claim 1, wherein the processing the exception event based on the reason for the exception comprises:
analyzing whether the abnormal reason is the same as the abnormal reason in a preset reason set or not;
and if not, executing the processing of the abnormal event based on the abnormal reason.
10. An online classroom-based exception handling apparatus, the apparatus comprising:
the monitoring module is used for monitoring abnormal events occurring in the user terminal in the online classroom;
the determining module is used for determining an abnormal reason of the abnormal event;
the processing module is used for determining corresponding abnormal processing guide information based on the abnormal reason and sending the abnormal processing guide information to the user terminal; wherein the exception handling guide information comprises at least one of voice information and text information; or
The exception event processing module is used for processing the exception event based on the exception reason.
11. A computer storage medium, characterized in that it stores a plurality of instructions adapted to be loaded by a processor and to carry out the method steps according to any one of claims 1 to 9.
12. A terminal, comprising: a display screen, a processor and a memory; wherein the memory stores a computer program adapted to be loaded by the processor and to perform the method steps of any of claims 1 to 9.
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