CN108270633B - Self-detection method and device of remote teaching terminal and online live course system - Google Patents

Self-detection method and device of remote teaching terminal and online live course system Download PDF

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CN108270633B
CN108270633B CN201611264035.1A CN201611264035A CN108270633B CN 108270633 B CN108270633 B CN 108270633B CN 201611264035 A CN201611264035 A CN 201611264035A CN 108270633 B CN108270633 B CN 108270633B
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output unit
input
remote teaching
self
video display
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CN108270633A (en
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周小果
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Beijing Yidu Huida Education Technology Co ltd
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Beijing Yidu Huida Education Technology Co ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/08Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/22Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
    • G06F11/2205Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing using arrangements specific to the hardware being tested
    • G06F11/2221Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing using arrangements specific to the hardware being tested to test input/output devices or peripheral units
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/22Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
    • G06F11/2205Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing using arrangements specific to the hardware being tested
    • G06F11/2236Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing using arrangements specific to the hardware being tested to test CPU or processors
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/22Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
    • G06F11/2273Test methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/22Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
    • G06F11/2294Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing by remote test
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/20Education
    • G06Q50/205Education administration or guidance
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B5/00Electrically-operated educational appliances
    • G09B5/08Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations
    • G09B5/14Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations with provision for individual teacher-student communication

Abstract

The embodiment of the invention provides a self-detection method and a self-detection device of a remote teaching end and an online course live broadcast system, wherein the method comprises the following steps: acquiring the type of a remote teaching host and the type of an input/output unit configured for the remote teaching host; and starting corresponding application program interfaces according to the type of the remote teaching host and the type of the input/output unit, and respectively carrying out self-detection on the remote teaching host and the input/output unit, thereby providing a practical and reliable test scheme for remote teaching end equipment and ensuring the smooth operation of an online live broadcast process.

Description

Self-detection method and device of remote teaching terminal and online live course system
Technical Field
The embodiment of the invention relates to the technical field of internet, in particular to a self-detection method and device of a remote teaching end and an online live course system.
Background
On-line education, namely remote education and on-line learning, adopts a teaching mode taking a network as a medium, and can develop teaching activities even if students and teachers are separated by ten thousand miles through the network; in addition, by means of the network courseware, the student can learn at any time and any place, and the time and space limitation is broken really. The online education can get rid of the limitations of time, space, manpower, material resources and the like as much as possible, and the resource utilization maximization can be realized.
In the prior art, an education and training institution can communicate teachers and students by using video, voice and other teaching software through an internet remote teaching platform, so that the whole training process has interactivity; in addition, teachers and students can enjoy the feeling of face-to-face communication without going out; meanwhile, the education and training mechanism and the students can save more time and expenditure of manpower and material resources, so that the students can learn more needed professional knowledge in a short time, and the training mechanism can recruit more students.
In the process of implementing the invention, the inventor finds that at least the following problems exist in the prior art: because the current online education mainly depends on the internet, particularly, the interaction based on courseware is carried out through the internet, but the prior art does not provide a practical and reliable test scheme for remote teaching end equipment so as to ensure the smooth proceeding of the online live broadcast process.
Disclosure of Invention
In view of the above, an object of the present invention is to provide a self-testing method and apparatus for a remote teaching end, and an online course live broadcast system, so as to overcome the defects in the prior art.
The embodiment of the invention provides a self-detection method of a remote teaching terminal, which comprises the following steps:
acquiring the type of an input/output unit configured for a remote teaching host, wherein the type of the input/output unit configured for the remote teaching host comprises the following steps: the system comprises an audio input/output unit, a video display input/output unit and a network input/output unit;
starting application program interfaces corresponding to the audio input and output unit, the video display input and output unit and the network input and output unit respectively, carrying out self-detection on the remote teaching host and the input and output unit, and judging whether noise decibels in sound signals output by the audio input and output unit are smaller than a set decibel threshold value, whether the video display input and output unit can carry out preview display of a test picture and whether the network speed of the network input and output unit is within a set network speed threshold range;
and if the noise decibel in the sound signal output by the audio input and output unit is less than the set decibel threshold value, the video display input and output unit can preview and display the test picture, and the network speed of the network input and output unit is within the set network speed threshold value range, judging that the input and output unit of the remote teaching end is qualified in self-inspection.
Optionally, in an embodiment of the present invention, enabling the application program interfaces corresponding to the audio input/output unit, the video display input/output unit, and the network input/output unit, and performing self-detection on the remote teaching host and the input/output unit respectively includes:
and determining the application program interfaces respectively available for the audio input/output unit, the video display input/output unit and the network input/output unit according to the type of an operating system of the remote teaching host, and selecting one of a processor of the remote teaching host, the audio input/output unit, the video display input/output unit and the network input/output unit or performing self-detection one by one.
Optionally, in an embodiment of the present invention, if the operating system of the remote teaching host is a windows operating system, the application program interface available for the audio input/output unit includes: QIODevice, QAUDIOINPut, QAUDIODDeviceInfo, QSound; the application program interface available for the video display type input and output unit comprises: QCamera, QCameraViewfiner, EnumDisplayDevices, the application program interfaces available to the network class i/o unit are libcurl-based custom interfaces.
Optionally, in an embodiment of the present invention, the performing self-test on the remote teaching host includes: and self-detecting the CPU occupancy rate of the remote teaching host.
The method according to claim 1, wherein the self-checking of the video display class input/output unit comprises: and self-detecting the number of the video display type input and output units connected to the remote teaching host and technical logic among the video display type input and output units through corresponding application program interfaces.
Optionally, in an embodiment of the present invention, enabling corresponding application program interfaces according to the type of the remote teaching host and the type of the input/output unit, and performing self-test on the remote teaching host and the input/output unit respectively includes: the method comprises the steps that a test video signal sent to a video display output unit of a remote teaching host computer is subjected to self-detection according to whether the video display input output unit can perform preview display of a test picture on the test video signal; and carrying out noise decibel analysis on the test video signal output by the audio input and output unit to carry out self-detection on the test audio signal sent to the audio output unit of the remote teaching host.
The embodiment of the invention also provides an online course live broadcast method, which comprises the following steps: after the remote teaching host and the input/output unit are detected to be qualified according to the method, the online course live broadcast is started to enter an online live broadcast process.
Optionally, in an embodiment of the present invention, the decibel threshold of the noise is 70 decibels, and/or the network speed threshold is 100kb/s and 300kb/s so as to form three network speed threshold ranges, which correspond to the low, medium, and high network speed levels, respectively.
The embodiment of the invention provides a self-detection device of a remote teaching host used in an online live course, which comprises:
a type obtaining unit, configured to obtain a type of the input/output unit configured for the remote teaching host, where the type of the input/output unit configured for the remote teaching host includes: the system comprises an audio input/output unit, a video display input/output unit and a network input/output unit;
the self-detection unit is used for starting application program interfaces corresponding to the audio input and output unit, the video display input and output unit and the network input and output unit, respectively carrying out self-detection on the remote teaching host and the input and output unit, and judging whether noise decibels in sound signals output by the audio input and output unit are smaller than a set decibel threshold value, whether the video display input and output unit can carry out preview display of a test picture and whether the network speed of the network input and output unit is within a set network speed threshold range;
and if the noise decibel in the sound signal output by the audio input and output unit is less than the set decibel threshold value, the video display input and output unit can preview and display the test picture, and the network speed of the network input and output unit is within the set network speed threshold value range, judging that the input and output unit of the remote teaching end is qualified in self-inspection.
The invention also provides a remote online live course broadcasting system which comprises a remote teaching end, wherein a teacher client is installed on the remote teaching end and used for online live course broadcasting, the remote teaching end comprises a remote teaching host and an input/output unit configured for the remote teaching host, and the teacher client is started to perform online live course broadcasting after the remote teaching host and the input/output unit are detected to be qualified according to any one of the methods.
As can be seen from the foregoing technical solutions, in the embodiments of the present invention, by obtaining the type of the input/output unit configured for the remote teaching host, the type of the input/output unit configured for the remote teaching host includes: the remote teaching system comprises an audio input/output unit, a video display input/output unit and a network input/output unit, wherein the audio input/output unit, the video display input/output unit and the network input/output unit are started to respectively correspond to application program interfaces, a remote teaching host and the input/output unit are subjected to self-detection, and whether noise decibels in sound signals output by the audio input/output unit are smaller than a set decibel threshold value, whether the video display input/output unit can perform preview display of a test picture, and whether the network speed of the network input/output unit is within a set network speed threshold range are judged; if the noise decibel in the sound signal output by the audio input and output unit is less than the set decibel threshold value, the video display input and output unit can preview and display the test picture, and the network speed of the network input and output unit is within the set network speed threshold value range, the self-check of the input and output unit of the remote teaching end is judged to be qualified, so that a practical and reliable test scheme for the equipment of the remote teaching end is provided, and the smooth on-line live broadcast process is ensured.
Drawings
In order to more clearly illustrate the embodiments of the present invention 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 described in the embodiments of the present invention, and it is also possible for a person skilled in the art to obtain other drawings based on the drawings.
Fig. 1 is a schematic flow chart of a self-detection method of a remote teaching terminal according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart illustrating a self-testing method of a remote teaching terminal according to a second embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a self-testing device of a remote teaching host used in a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of a remote online live course system according to a fourth embodiment of the present invention.
Detailed Description
Of course, it is not necessary for any particular embodiment of the invention to achieve all of the above advantages at the same time.
In order to make those skilled in the art better understand the technical solutions in the embodiments of the present invention, the technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. All other embodiments obtained by a person skilled in the art based on the embodiments of the present invention shall fall within the scope of the protection of the embodiments of the present invention.
In the embodiment of the invention, the type of a remote teaching host and the type of an input/output unit configured for the remote teaching host are obtained; and starting corresponding application program interfaces according to the type of the remote teaching host and the type of the input/output unit, and respectively carrying out self-detection on the remote teaching host and the input/output unit, thereby providing a practical and reliable test scheme for remote teaching end equipment and ensuring the smooth operation of an online live broadcast process.
Fig. 1 is a schematic flow chart of a self-detection method of a remote teaching terminal according to an embodiment of the present invention; as shown in fig. 1, it includes:
s101, acquiring the type of a remote teaching host and the type of an input/output unit configured for the remote teaching host;
in this embodiment, the remote teaching host is configured at the remote teaching end and is connected with the terminal of the student end through the internet. The types of remote teaching hosts may include: PC, notebook, portable terminal, etc. In this embodiment, the types of the input/output unit configured by the remote teaching host include: the system comprises an audio input/output unit, a video display input/output unit and a network input/output unit. The audio input and output unit, the video display input and output unit, the network input and output unit and the like form a remote teaching end together with the remote teaching host.
Specifically, in this embodiment, the audio input/output unit includes: the device comprises a microphone, a recorder and the like which are related to sound reproduction and recording, a video display type input and output unit comprises a camera, a player and the like which are related to video acquisition and playing and a display, and a network type input and output unit comprises a router and the like which are related to internet connection.
And S102, starting corresponding application program interfaces according to the type of the remote teaching host and the type of the input/output unit, and respectively carrying out self-detection on the remote teaching host and the input/output unit.
In this embodiment, in step S102, when performing self-detection on the remote teaching host, whether the remote teaching host is normal or not may be determined by performing self-detection on the CPU occupancy of the remote teaching host.
In this embodiment, in step S102, during the self-detection, the available application program interfaces of the audio input/output unit, the video input/output unit, the display input/output unit, and the network input/output unit may be determined first, and then the processor of the remote teaching host, the audio input/output unit, the video display input/output unit, and the network input/output unit may be selected in sequence or self-detected one by one.
Optionally, if the operating system of the remote teaching host is a windows operating system, the application program interface available for the audio input/output unit includes: QIODevice, QAUDIOINPut, QAUDIODDeviceInfo, QSound; the application program interface available for the display class input and output unit comprises: the application program interface available for the video display type input and output unit comprises: QCamera, QCameraviewfiner, EnumDisplaydevices, EnumDisplaydevice specific format is: EnumDisplaydevices (PVOID Ununsed, DWORD iDeDevNum, PDISLAY _ DEVICElpDisplaydevice, DWORD dwFlags), and the application program interface available for the network class I/O unit is a libcurl-based self-defined interface.
S103, judging whether noise decibels in the sound signals output by the audio input and output unit are smaller than a set decibel threshold value or not, whether the video display input and output unit can perform preview display of a test picture or not, and whether the network speed of the network input and output unit is within a set network speed threshold range or not;
when the types of the different input and output units are determined through the application program interface, the types of the different input and output units can be determined through a timing mechanism. For example, a test signal is sent to the input/output unit of the remote teaching host at regular time, and the feedback of the input/output unit is obtained within a set time for self-detection. For example, inputting a section of audio stream and video stream, judging whether the corresponding audio input/output unit and video input/output unit receive and can normally play, and simultaneously judging whether the noise decibel in the output sound signal meets the specific requirement of online live broadcast, for example, by setting a decibel threshold, if the noise decibel in the output sound signal is less than the decibel threshold, judging that the audio input/output unit is qualified by self-check; otherwise, the product is not qualified. In this embodiment, the decibel threshold may be 70 decibels.
And loading the test video stream to the video display input and output unit, and judging whether the video display input and output unit can test the preview display of the video stream, wherein if the video display input and output unit can display the preview display, the self-inspection is judged to be qualified, and otherwise, the self-inspection is judged to be unqualified.
In addition, whether the uplink network speed and the downlink network speed meet the network speed requirement of the straight line live broadcast or not is judged by sending a test media stream to the server and receiving a test media returned by the server through the remote teaching host, for example, two network speed thresholds are specifically set so as to form three ranges which respectively correspond to low, medium and high network speed grades. Specifically, the two network speed thresholds may be 100kb/s and 300kb/s, wherein a low network speed level is below 100kb/2, a medium network speed level is between 100kb/s and 300kb/s, and a high network speed level is above 300 kb/s. Judging that the self-check of the network input and output unit is qualified as long as the upper core network speed and the downlink network speed can belong to a medium network speed grade or a high network speed grade; otherwise, the self-checking is unqualified.
When the noise decibel in the sound signal output by the audio input and output unit is less than the set decibel threshold value, the video display input and output unit can preview and display the test picture, and the network speed of the network input and output unit is within the set network speed threshold value range, the input and output unit of the remote teaching end is judged to be qualified through self-inspection, and the practical requirements of the online live course are met. It should be noted that the application program interface for detecting the input/output unit may also be implemented in a customized manner, and details are not described again.
FIG. 2 is a schematic flow chart illustrating a self-testing method of a remote teaching terminal according to a second embodiment of the present invention; as shown in fig. 2, it includes:
s201, acquiring the type of a remote teaching host and the type of a display input/output unit configured for the remote teaching host;
in this embodiment, step 201 is similar to step S101, and is not described herein again.
S202, starting corresponding application program interfaces according to the type of the remote teaching host, and carrying out self-detection on the number of the video display type input and output units and the technical logic among the video display type input and output units.
In this embodiment, it is considered that a general remote teaching host is configured with a plurality of displays, for example, two displays, one of the displays is used for playing courseware content, the other display is set for a live teacher, during an online live course process, the two displays need to work normally at the same time, one display can be operated by the live teacher, the other display is used for playing courseware content, if any one display is abnormal, a corresponding prompt is sent until the two displays can work normally.
It should be noted that if there are multiple audio input/output units and video input/output units and there is a set technical logic between them, the self-detection can be performed by referring to the situation of the multiple displays, and details are not repeated.
It should be noted that, in the live broadcast process, the above-mentioned scheme may also be used to perform self-detection on the remote teaching host and the corresponding input/output unit in real time, so as to further ensure smooth proceeding of the online live broadcast course.
The embodiment of the invention also provides a flow diagram of the online course live broadcast method; it includes: after the method according to any one of the above embodiments detects that the remote teaching host and the input/output unit are both in a normal state, the online course live broadcast is started, so that the influence of the abnormality of the device on the online live broadcast course is ensured in the course of the online live broadcast.
FIG. 3 is a schematic structural diagram of a self-testing device of a remote teaching host used in a third embodiment of the present invention; as shown in fig. 3, it includes:
a type obtaining unit 301, configured to obtain a type of the input/output unit configured for the remote teaching host, where the type of the input/output unit configured for the remote teaching host includes: the system comprises an audio input/output unit, a video display input/output unit and a network input/output unit;
a self-detection unit 302, configured to start application program interfaces corresponding to the audio input/output unit, the video display input/output unit, and the network input/output unit, perform self-detection on the remote teaching host and the input/output unit, respectively, and determine whether noise decibels in a sound signal output by the audio input/output unit are smaller than a set decibel threshold, whether the video display input/output unit can perform preview display of a test picture, and whether a network speed of the network input/output unit is within a set network speed threshold range;
and if the noise decibel in the sound signal output by the audio input and output unit is less than the set decibel threshold value, the video display input and output unit can preview and display the test picture, and the network speed of the network input and output unit is within the set network speed threshold value range, judging that the input and output unit of the remote teaching end is qualified in self-inspection.
Optionally, in this embodiment, the self-detection unit 302 is further configured to determine application program interfaces respectively available for the audio input/output unit, the video input/output unit, the display input/output unit, and the network input/output unit, and perform self-detection on one or more of the processor of the remote teaching host, the audio input/output unit, the video input/output unit, the display input/output unit, and the network input/output unit. In this embodiment, if the operating system of the remote teaching host is a windows operating system, the application program interfaces available for the audio input/output unit include: QIODevice, QAUDIOINPut, QAUDIODDeviceInfo, QSound; the application program interface available for the display class input and output unit comprises: the application program interface available for the video display type input and output unit comprises: QCamera, QCameraviewfiner, EnumDisplaydevices, EnumDisplaydevice specific format is: EnumDisplaydevices (PVOID Ununsed, DWORD iDeDevNum, PDISLAY _ DEVICElpDisplaydevice, DWORD dwFlags.), and the available application program interface of the network class I/O unit is a libcurl-based self-defined interface.
Optionally, in this embodiment or other embodiments, the self-detection unit 302 is further configured to self-detect the CPU occupancy of the remote host. Optionally, in this embodiment or other embodiments, the self-detection unit 302 is further configured to self-detect the number of the video display class input/output units and the technical logic between the video display class input/output units. Optionally, in this embodiment or other embodiments, the self-detection unit 302 is further configured to perform self-detection on the test signal sent to the input/output unit of the remote teaching host according to the feedback of the input/output unit.
Fig. 4 is a schematic structural diagram of a remote online live course system according to a fourth embodiment of the present invention; as shown in fig. 4, the online course live-broadcasting system comprises a remote teaching end 401, a teacher client is installed on the remote teaching end 401, the teacher client is used for live-broadcasting courses online, the remote teaching end 401 comprises a remote teaching host and an input/output unit configured for the remote teaching host, and after the method according to any one of the above detects that the remote teaching host and the input/output unit are both in a normal state, the client is started to carry out live-broadcasting of the courses online.
In this embodiment, the method further includes: as a terminal 402 of the student side, another student client side is installed on the terminal 402, and the student client side is used for acquiring courseware content of an online live course pushed by the remote teaching side 401.
For a specific online live course, there may be multiple students performing online learning, and at this time, there may be multiple terminals located at the student end and multiple corresponding clients. And the remote teaching host of the remote teaching terminal 401 can be configured with only one, thereby forming a one-to-many remote teaching environment.
Optionally, in an embodiment of the present invention, the method further includes: and the server 403 is configured to store courseware content corresponding to the online live-broadcast course, so as to obtain the courseware content from the server in real time according to the education process of the remote teaching terminal, and transmit the courseware content to the terminal 402 of the student terminal for playing.
The above-described embodiments of the apparatus are merely illustrative, wherein the modules described as separate parts may or may not be physically separate, and the parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions and/or portions thereof that contribute to the prior art may be embodied in the form of a software product that can be stored on a computer-readable storage medium including any mechanism for storing or transmitting information in a form readable by a computer (e.g., a computer). For example, a machine-readable medium includes Read Only Memory (ROM), Random Access Memory (RAM), magnetic disk storage media, optical storage media, flash memory storage media, electrical, optical, acoustical or other form of propagated signals (e.g., carrier waves, infrared signals, digital signals, etc.), and others, and the computer software product includes instructions for causing a computing device (which may be a personal computer, server, or network device, etc.) to perform the methods described in the various embodiments or portions of the embodiments.
Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the embodiments of the present application, and are not limited thereto; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus (device), or computer program product. Accordingly, embodiments of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present invention 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.
Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (devices) and computer program products according to embodiments of the invention. 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 stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function 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 (9)

1. A self-detection method of a remote teaching terminal is characterized by comprising the following steps:
acquiring the type of an input/output unit configured for a remote teaching host, wherein the type of the input/output unit configured for the remote teaching host comprises the following steps: the system comprises an audio input/output unit, a video display input/output unit and a network input/output unit;
according to the type of the remote teaching host and the type of the input and output unit, starting application program interfaces corresponding to the audio input and output unit, the video display input and output unit and the network input and output unit respectively, carrying out self-detection on the remote teaching host and the input and output unit, and judging whether noise decibels in sound signals output by the audio input and output unit are smaller than a set decibel threshold value, whether the video display input and output unit can carry out preview display of a test picture and whether the network speed of the network input and output unit is within a set network speed threshold range; if the noise decibel in the sound signal output by the audio input and output unit is less than the set decibel threshold value, the video display input and output unit can preview and display the test picture, and the network speed of the network input and output unit is within the set network speed threshold value range, judging that the input and output unit of the remote teaching end is qualified by self-inspection;
the starting of the application program interfaces corresponding to the audio input/output unit, the video display input/output unit and the network input/output unit respectively performs self-detection on the remote teaching host and the input/output unit, and comprises the following steps:
and determining the application program interfaces respectively available for the audio input/output unit, the video display input/output unit and the network input/output unit according to the type of an operating system of the remote teaching host, and selecting one of a processor of the remote teaching host, the audio input/output unit, the video display input/output unit and the network input/output unit or performing self-detection one by one.
2. The method of claim 1, wherein if the operating system of the remote teaching host is a windows operating system, the application program interface available for the audio class i/o unit comprises: QIODevice, QAUDIOINPut, QAUDIODDeviceInfo, QSound; the application program interface available for the video display type input and output unit comprises: QCamera, QCameraviewfiner, EnumDisplayDevices, the application program interfaces available to the network class I/O unit are libcurl-based custom interfaces.
3. The method of claim 1, wherein self-testing the remote teaching host comprises: and self-detecting the CPU occupancy rate of the remote teaching host.
4. The method according to claim 1, wherein the self-checking of the video display class input/output unit comprises: and self-detecting the number of the video display type input and output units connected to the remote teaching host and technical logic among the video display type input and output units through corresponding application program interfaces.
5. The method of claim 1, wherein enabling the corresponding application program interface according to the type of the remote teaching host and the type of the input/output unit, and performing self-test on the remote teaching host and the input/output unit respectively comprises: the method comprises the steps that a test video signal sent to a video display output unit of a remote teaching host computer is subjected to self-detection according to whether the video display input output unit can perform preview display of a test picture on the test video signal; and carrying out noise decibel analysis on the test video signal output by the audio input and output unit to carry out self-detection on the test audio signal sent to the audio output unit of the remote teaching host.
6. The method according to any of claims 1-5, wherein the noise is a decibel threshold of 70 decibels, and/or the wire speed threshold is 100kb/s and 300kb/s to form three wire speed threshold ranges, corresponding to low, medium and high wire speed levels.
7. An online curriculum live broadcasting method, characterized in that after the method according to any one of claims 1 to 5 detects that the remote teaching host and the input/output unit are qualified, the online curriculum live broadcasting is started to enter an online live broadcasting process.
8. A self-test device of a remote teaching host used in an online live course, comprising:
a type obtaining unit, configured to obtain a type of the input/output unit configured for the remote teaching host, where the type of the input/output unit configured for the remote teaching host includes: the system comprises an audio input/output unit, a video display input/output unit and a network input/output unit;
the self-detection unit is used for starting application program interfaces corresponding to the audio input and output unit, the video display input and output unit and the network input and output unit according to the type of the remote teaching host and the type of the input and output unit, respectively carrying out self-detection on the remote teaching host and the input and output unit, and judging whether noise decibels in sound signals output by the audio input and output unit are smaller than a set decibel threshold value, whether the video display input and output unit can carry out preview display of a test picture and whether the network speed of the network input and output unit is within a set network speed threshold value range;
if the noise decibel in the sound signal output by the audio input and output unit is less than the set decibel threshold value, the video display input and output unit can preview and display the test picture, and the network speed of the network input and output unit is within the set network speed threshold value range, judging that the input and output unit of the remote teaching end is qualified by self-inspection;
wherein, the self-test unit is used for starting the application program interfaces corresponding to the audio input/output unit, the video display input/output unit and the network input/output unit, and respectively carries out self-test on the remote teaching host and the input/output unit, and the self-test unit comprises:
and determining the application program interfaces respectively available for the audio input/output unit, the video display input/output unit and the network input/output unit according to the type of an operating system of the remote teaching host, and selecting one of a processor of the remote teaching host, the audio input/output unit, the video display input/output unit and the network input/output unit or performing self-detection one by one.
9. The remote online live course system is characterized by comprising a remote teaching end, wherein a teacher client is installed on the remote teaching end and used for online live course, the remote teaching end comprises a remote teaching host and an input and output unit configured for the remote teaching host, and the teacher client is started to conduct online live course after the method of any one of claims 1-7 detects that the remote teaching host and the input and output unit are qualified.
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