CN116436870A - Bandwidth adaptive method, device and storage medium - Google Patents

Abstract

The present application discloses a bandwidth adaptive method, device, and storage medium. The bandwidth adaptive method includes: obtaining a communication scene between a server and a terminal; determining an estimated bandwidth value according to the communication scene, and using the estimated bandwidth value to communicate with the terminal; When it is detected that the communication quality does not meet the preset communication conditions, the configuration parameters of the terminal are adjusted. In this application, the bandwidth is estimated in combination with the communication scene, and then the communication is performed based on the estimated bandwidth value, and then the configuration parameters of the terminal are dynamically adjusted to meet the communication quality requirements. In this way, the video transmission quality is improved.

Description

Bandwidth adaptive method, device and storage medium

technical field

The present application relates to the technical field of audio and video transmission, and in particular to a bandwidth adaptive method, device and storage medium.

Background technique

With the rapid development of mobile networks and the popularization of intelligent hardware terminals, there is an increasing demand for high-quality video/audio and other multimedia service support in business scenarios.

At present, although the network bandwidth is showing a gradual increase trend, because the bandwidth required for video data stream transmission is usually greater than the capacity that the network can provide, especially for high-definition video, network congestion usually occurs, so that video data is transmitted A large number of losses in the process lead to a decrease in the quality of the received video image. Based on this, there is a problem of poor video transmission quality.

Contents of the invention

The embodiments of the present application aim to solve the problem of poor video transmission quality by providing a bandwidth adaptive method, device and storage medium.

In order to achieve the above purpose, the present application provides a bandwidth adaptive method on the one hand, the method is applied to the server, and the method includes:

Obtain the communication scene between the server and the terminal;

determining an estimated bandwidth value according to the communication scenario, and using the estimated bandwidth value to communicate with the terminal;

When it is detected that the communication quality does not satisfy the preset communication condition, the configuration parameters of the terminal are adjusted.

Optionally, when it is detected that the communication quality does not meet the preset communication conditions, the step of adjusting the configuration parameters of the terminal includes:

Acquiring a first communication parameter corresponding to communication based on the estimated bandwidth value;

When the first communication parameter does not match the set communication parameter, it is determined that the communication quality does not meet the preset communication condition;

A communication failure type is determined according to the first communication parameter, and configuration parameters of the terminal are adjusted according to the communication failure type.

Optionally, the step of adjusting configuration parameters of the terminal according to the communication failure type includes:

determining the threshold value of each of the configuration parameters of the terminal according to the communication fault type;

Adjusting configuration parameters of the terminal according to the threshold value.

Optionally, the step of determining the estimated bandwidth value according to the communication scenario includes:

Obtain the preset bandwidth adaptive algorithm;

The estimated bandwidth value is determined by using the preset bandwidth adaptive algorithm and the communication scenario.

Optionally, the step of determining the estimated bandwidth value by using the preset bandwidth adaptive algorithm and the communication scenario includes:

When the communication scenario is an audio conference and/or video conference, determine the conference information of the audio conference and/or the video conference, where the conference information includes the conference type, the number of participants, the participant terminal type, and the parameter terminal At least one of the corresponding network environments;

The estimated bandwidth value is determined according to the preset bandwidth adaptive algorithm and the conference information.

Optionally, the step of determining the estimated bandwidth value according to the preset bandwidth adaptive algorithm and the conference information includes:

When the server and the terminal communicate based on the conference information, acquire the packet loss rate and sending and receiving delay information of data packets between the server and the terminal;

determining network congestion according to the packet loss rate and the sending and receiving delay information;

The estimated bandwidth value is determined according to the network congestion situation.

Optionally, the method also includes:

When the communication scenario is an audio conference and/or video conference and includes at least two participating terminals, acquiring a second communication parameter of each parameter terminal;

Obtaining target conference participants whose second communication parameters do not match the preset communication parameters;

Adjusting the bandwidth information with the target participant terminal according to the communication parameters.

In addition, in order to achieve the above purpose, another aspect of the present application provides a bandwidth adaptive device, the bandwidth adaptive device includes an acquisition module, a communication module and an adjustment module, wherein:

The acquisition module is used to acquire the communication scene between the server and the terminal;

A communication module, configured to determine an estimated bandwidth value according to the communication scenario, and use the estimated bandwidth value to communicate with the terminal;

An adjustment module, configured to adjust configuration parameters of the terminal when it is detected that the communication quality does not meet the preset communication conditions.

In addition, in order to achieve the above object, another aspect of the present application provides a bandwidth adaptive device, the device includes a memory, a processor, and a bandwidth adaptive program stored in the memory and running on the processor, the bandwidth When the adaptive program is executed by the processor, the steps of the above-mentioned bandwidth adaptive method are realized.

In addition, in order to achieve the above object, another aspect of the present application also provides a storage medium, on which a bandwidth adaptation program is stored, and when the bandwidth adaptation program is executed by a processor, the bandwidth adaptation method as described above is implemented. A step of.

This application proposes a bandwidth adaptive method, by obtaining the communication scene between the server and the terminal; determining the estimated bandwidth value according to the communication scene, and using the estimated bandwidth value to communicate with the terminal; when it is detected that the communication quality does not meet the preset communication conditions , adjust the configuration parameters of the terminal. In this application, the bandwidth is estimated in combination with the communication scene, and then the communication is performed based on the estimated bandwidth value, and then the configuration parameters of the terminal are dynamically adjusted to meet the communication quality requirements. In this way, the video transmission quality is improved.

Description of drawings

FIG. 1 is a schematic diagram of the terminal structure of the hardware operating environment involved in the solution of the embodiment of the present application;

FIG. 2 is a schematic flow chart of the first embodiment of the bandwidth adaptive method of the present application;

FIG. 3 is a schematic flow diagram of determining an estimated bandwidth value according to the communication scenario in the first embodiment of the bandwidth adaptive method of the present application;

FIG. 4 is a schematic diagram of various communication scenarios of the present application;

Fig. 5 is a model parameter configuration diagram of each terminal of the present application;

FIG. 6 is a block diagram of a bandwidth adaptive method of the present application.

The realization, functional features and advantages of the present application will be further described in conjunction with the embodiments and with reference to the accompanying drawings.

Detailed ways

It should be understood that the specific embodiments described here are only used to explain the present application, not to limit the present application.

At present, the bandwidth adaptive algorithm in WebRTC is mainly used for bandwidth evaluation. This bandwidth evaluation method can theoretically improve the bandwidth adaptive adjustment of audio and video communication transmission. However, the current communication application scenarios are more complicated, including mobile networks and home WiFi. The ideal stability cannot be achieved, so at least the following problems exist:

First, real-time bandwidth prediction and adjustment lag at the receiving end: the basic algorithm can guarantee a certain bandwidth prediction capability, but combined with the millisecond-level delay requirements of real-time audio and video, it is usually difficult to ensure video fluency when the network is unstable and fluctuates greatly. If the video bit rate is higher than the current bandwidth upper limit, the playback will be stuck. If the bit rate adaptation adjustment is too frequent, it will cause a certain amount of jitter in the video screen. Therefore, the traditional bandwidth adaptive method will affect the video of the client. perception.

Second, the problem of bandwidth self-adaptation in a weak network environment: when multiple audio and video users participate in a conference, the bandwidth of one or several channels from the forwarding server to the receiving end is under weak network conditions, which may lead to a low overall evaluation bandwidth, thus Using poor network bandwidth as the encoding bandwidth of the acquisition end, although it can improve the audio and video fluency under the worst bandwidth, it also reduces the experience of other clients with better network conditions, resulting in a "barrel effect".

Third, due to the delay in real-time prediction and adjustment of bandwidth at the receiving end and unreasonable bandwidth evaluation in a weak network environment, the quality of video transmission is poor.

Based on this, this application proposes the following embodiments, based on the traditional audio and video bandwidth adaptive algorithm, combined with actual application scenarios, the bandwidth adaptive model is comprehensively formulated through multiple latitudes such as terminals, conference forms, network environment, and number of users, so as to realize Configure the access terminal to create a model accordingly, so as to achieve its corresponding ideal network transmission capacity as much as possible, and improve the video effect. At the same time, based on the bandwidth adaptive model (that is, the bandwidth evaluation model) and the customized parameter configuration library, the client parameters are dynamically set to more rationally match the actual business scenario and realize the minimum dynamic bandwidth within the parameter configuration interval in the corresponding model. Adaptive quick adjustment. When individual terminals evaluate poor bandwidth capability, it only needs to make corresponding adjustments in the terminal model without affecting the model parameters of other normal terminals, so as to ensure the stability of the overall conference effect and improve the user's audio and video experience.

As shown in FIG. 1 , FIG. 1 is a schematic diagram of a terminal structure of a hardware operating environment involved in the solution of the embodiment of the present application.

As shown in FIG. 1 , the terminal may include: a processor 1001 , such as a CPU, a network interface 1004 , a user interface 1003 , a memory 1005 , and a communication bus 1002 . Wherein, the communication bus 1002 is used to realize connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. Optionally, the network interface 1004 may include a standard wired interface and a wireless interface (such as a WI-FI interface). The memory 1005 can be a high-speed RAM memory, or a stable memory (non-volatile memory), such as a disk memory. Optionally, the memory 1005 may also be a storage device independent of the aforementioned processor 1001 .

Those skilled in the art can understand that the terminal structure shown in FIG. 1 does not constitute a limitation on the terminal device, and may include more or less components than those shown in the figure, or combine some components, or arrange different components.

As shown in FIG. 1 , a memory 1005 as a computer-readable storage medium may include a bandwidth adaptation program.

In the terminal shown in FIG. 1 , the network interface 1004 is mainly used for data communication with the background server; the user interface 1003 is mainly used for data communication with the client (client); when the terminal is a server, the processor 1001 can be used to call the bandwidth adaptation program in memory 1005, and perform the following operations:

Obtain the communication scene between the server and the terminal;

determining an estimated bandwidth value according to the communication scenario, and using the estimated bandwidth value to communicate with the terminal;

When it is detected that the communication quality does not satisfy the preset communication condition, the configuration parameters of the terminal are adjusted.

Referring to FIG. 2 , FIG. 2 is a schematic flowchart of a first embodiment of a bandwidth adaptive method of the present application.

The embodiment of the present application provides a bandwidth adaptive method. It should be noted that although the logic sequence is shown in the flow chart, in some cases, the sequence shown or described can be executed in a different sequence than here. A step of.

The bandwidth adaptive method of this embodiment is applied to the server, including the following steps:

Step S10, acquiring the communication scene between the server and the terminal;

Optionally, the communication scenario in this embodiment includes a network environment, such as a public network environment (such as a mobile network, Wi-Fi) and an intranet environment (such as a local area network, a cross-provincial and cross-regional network); terminal types, such as a Web terminal and APP side; meeting type, such as multi-person real-time audio and video training and heat transfer training; number of participants, such as small meeting (2-10 people), medium-sized meeting (11-20 people) and large meeting (more than 20 people).

Optionally, the terminal in this embodiment includes a collection terminal (such as a camera, a mobile phone, etc.) and a receiving terminal (such as a mobile phone, a computer, etc.), wherein the collection terminal is used to collect audio and video data, and then the collected audio and video data Encode, and then send the audio and video data to the server; the server saves the received audio and video data, and forwards the audio and video data to the receiving end; the receiving end decodes the received audio and video data, and then plays the decoded audio video data.

In this embodiment, during the communication process between the server and the terminal, the communication scene where the two are located will be detected. For example, the network environment between the two can be determined by detecting the communication rate between the server and the terminal, such as The code rate of the public network is lower than that of the internal network; the type of meeting and the number of participants can be determined by detecting the number of access terminals; the terminal type can be determined by detecting the resolution of the access terminal, for example, the resolution of the web terminal is lower than that of the APP terminal.

Step S20, determining an estimated bandwidth value according to the communication scenario, and using the estimated bandwidth value to communicate with the terminal;

In this embodiment, an estimated bandwidth value is determined based on a bandwidth adaptive algorithm combined with a communication scenario, and then the estimated bandwidth value is used to communicate with a terminal. For example, detect the packet loss rate and delay information of data packets, generate a bandwidth adaptive model based on the packet loss rate and delay information of data packets, and communication scenarios, including terminal type, network environment, conference type, number of participants, etc., and then, The bandwidth value is estimated in advance based on the bandwidth adaptive model, and then communication is performed with the terminal based on the estimated bandwidth value.

Step S30, when it is detected that the communication quality does not meet the preset communication condition, adjusting the configuration parameters of the terminal.

Optionally, for the acquisition end, the corresponding configuration parameters are encoding parameters, wherein the encoding parameters mainly include packaging parameters, such as live stream packaging, on-demand packaging, coding mode, mixed bit rate, etc.; video parameters, such as video Encoding type, video bit rate, encoding level, format, frame rate, color space, scanning method, etc.; audio parameters, such as audio encoding type, bit rate, channel, adoption rate, etc.

Optionally, for the receiving end, the corresponding parameters are decoding parameters, and the decoding parameters correspond to the encoding parameters of the collecting end.

In this embodiment, after the server uses the estimated bandwidth value to communicate with the terminal, it will detect the first communication parameters corresponding to the terminal in real time, including packet loss rate, code rate/frame rate, data packet sending and receiving delay information, video resolution, etc., and then compare the detected first communication parameter with the set communication parameter, if the first communication parameter does not match the set communication parameter, it is determined that the communication quality does not meet the preset communication conditions, at this time, it is necessary Determine the type of communication failure according to the first communication parameter, including delay, freeze, jitter, blurred screen, out-of-sync audio and video, etc., and then adjust the configuration parameters of the terminal according to the type of communication failure. For example, assuming audio and video freezes occur, all three ends may be the source of the problem. For example, the poor network of the collection end (anchor end) leads to unstable upstream streaming; the poor line quality of the server end leads to unstable distribution; The network at the receiving end (viewer end) is not good, resulting in unstable downstream streaming. At this time, you need to determine the source of the problem, and then make corresponding adjustments. For example, if there is a problem at the receiving end, you can increase the buffer. To alleviate the stuttering caused by unstable decoding.

Optionally, determine the threshold value of each configuration parameter of the terminal based on the type of communication failure, and then adjust the configuration parameters of the terminal according to the threshold value. In the process of sending TCP packets, when packet loss occurs, the sender must retransmit the lost packets to ensure smooth communication between the sender and the receiver. Among them, the loss of TCP packets can be caused by network congestion or high bit error rate. etc. Based on this, the packet loss retransmission threshold can be determined based on the packet loss situation.

Optionally, the threshold values of each configuration parameter include the packet loss retransmission threshold, the audio mixing and forwarding delay threshold, the minimum time interval threshold for requesting key frames, the minimum encoding lower limit value threshold for the control code rate, the congestion prediction adjustment threshold, Service cluster resource concurrency threshold, etc.

This embodiment obtains the communication scene between the server and the terminal; determines the estimated bandwidth value according to the communication scene, and uses the estimated bandwidth value to communicate with the terminal; when it is detected that the communication quality does not meet the preset communication conditions, adjust the configuration parameters of the terminal . In this application, the bandwidth is estimated in combination with the communication scene, and then the communication is performed based on the estimated bandwidth value, and then the configuration parameters of the terminal are dynamically adjusted to meet the communication quality requirements. In this way, the video transmission quality is improved.

Further, refer to FIG. 3 , which is a schematic flowchart of a second embodiment of a bandwidth adaptive method of the present application.

The difference between the second embodiment of the bandwidth adaptive method of this application and the first embodiment is that the step of determining the estimated bandwidth value according to the communication scenario includes:

Step S21, acquiring a preset bandwidth adaptive algorithm;

Step S22, using the preset bandwidth adaptive algorithm and the communication scenario to determine the estimated bandwidth value.

In this embodiment, the preset bandwidth adaptive algorithm is obtained, and then the estimated bandwidth value is determined by using the preset bandwidth adaptive algorithm and the communication scenario. Specifically, when the communication scenario is an audio conference and/or video conference, determine Conference information of the audio conference and/or video conference, wherein the conference information includes at least one of the conference type, the number of participants, the terminal type of the conference, and the network environment corresponding to the parameter terminal, and then, according to the preset bandwidth adaptive algorithm and The meeting information determines the estimated bandwidth value.

Optionally, when the server and the terminal communicate based on the conference information, obtain the packet loss rate and sending and receiving delay information of data packets between the server and the terminal, and then determine the network congestion according to the packet loss rate and sending and receiving delay information, and then Determine the estimated bandwidth value based on network congestion.

In one embodiment, when the communication scenario is an audio conference and/or video conference and includes at least two participating terminals, the second communication parameters of each parameter terminal are obtained, including packet loss rate, code rate/frame rate, data Packet sending and receiving delay information, video resolution, etc., and then obtain the target participant terminal whose second communication parameter does not match the preset communication parameter, and then adjust the bandwidth information of the target participant terminal according to the communication parameter. For example, suppose there are currently four participating terminals A, B, C, and D. Based on the communication parameters of each participating terminal, it is determined that there is a communication failure between participating terminal A and participating terminal C. For example, there is a delay in the video of participating terminal A. , but the video screen of participant terminal C freezes, at this time, adjust the configuration parameters of participant terminal A and participant terminal C respectively, and keep the configuration parameters of the other two participant terminals unchanged. One or more channels from the forwarding server to the receiving end bandwidth is under weak network conditions, resulting in a low overall evaluation bandwidth, so that poor network bandwidth is used as the encoding bandwidth of the acquisition end, and this embodiment adjusts the configuration parameters of the faulty terminal, which can Ensure video quality for each conference endpoint.

In this embodiment, by combining the audio and video communication bandwidth evaluation algorithm with the actual application scenario, the bandwidth adaptive model is comprehensively formulated through multiple latitudes such as terminal, conference form, network environment, and number of users, so as to realize the corresponding creation model of the pre-configured access terminal, so as to achieve its maximum value as much as possible. The corresponding ideal network transmission capability improves the video effect.

In order to better illustrate the bandwidth adaptation method of the present application, refer to FIG. 4 , which is a schematic diagram of various communication scenarios of the present application.

In this embodiment, the bandwidth capability is pre-evaluated through the bandwidth adaptive algorithm and the communication scenario, and the parameter configuration model is comprehensively evaluated in combination with the relevant factors of the communication scenario, and the terminal configuration parameters are defined through different models, so as to optimize and improve the bandwidth adaptive capability in actual business applications.

This embodiment proposes a dynamic matching scheme considering different business scenarios and parameters:

(1) Combined with business scenarios

1. Terminal identification: Based on the complexity of the terminal type, the adaptation mechanism of different terminals and different models will be adopted, and the corresponding configuration model will be saved on the server side. The access terminal will automatically match and pull the corresponding configuration, and continue to identify new ones. The terminal information automatically matches the adaptation model.

2. Network environment: By obtaining the network access status of the terminal, the network environment information is collected, and the detection information is fed back by the terminal, and the corresponding model is adapted to the actual network conditions. In the intranet environment, the average packet loss, average delay, and network congestion within 5s will be automatically evaluated through the bandwidth and delay differences of the local LAN and inter-provincial and inter-city areas, and Combined with the bandwidth adaptive algorithm, consider its fluctuations and other factors to create a matching bandwidth adaptive model, and at the same time, build an experience library through network environment data collection to continuously optimize the model configuration.

3. Conference format and number of participants: Based on the actual conference scale to match the corresponding bandwidth adaptive model, to ensure the reasonable utilization of resources when the server business is concurrent, to reasonably predict the bandwidth pressure of code stream forwarding, and to feed back to the client for formulation.

(2) Model parameter configuration

Optionally, as shown in FIG. 5 , an encoding parameter model is deployed at the acquisition end, a decoding parameter model is deployed at the receiving end, and a bandwidth adaptive model is deployed at the server end.

Combined with the configuration model of each end, firstly, according to the conventional bandwidth evaluation method, the NACK (packet loss retransmission), FEC (forward error correction), and the receiving end Jitter Buffer (media flow stability) of the anti-packet loss and anti-network jitter capabilities are dynamically Various mechanisms such as adjustment are combined to form an adaptive bandwidth adjustment algorithm, which automatically generates a parameter configuration model library, and then matches based on the bandwidth adaptive model, and then customizes the corresponding parameter configuration. For example, in a certain scenario, configure the dynamic range corresponding to the resolution of the web sending end, so that the dynamic range of the resolution is 640×480 to 1920×1080, and the bit rate changes from 800K to 2000K/24fps. For example, when the bit rate detection range is above 2000k The evaluation is a high-code model, using a resolution of 1920×1080. When the bandwidth evaluation capability is insufficient, the resolution of the sending end is automatically reduced to 640×480, and the lower limit of the code rate is 800K. When the server predicts that the bandwidth cannot withstand high-definition video transmission, it will automatically convert to a low bit rate and pass the optimization algorithm, and only automatically match the corresponding encoding model at the acquisition end to adjust, and at the same time focus on optimizing the low bit rate video Clarity, so that the low-bit-rate video definition is comparable to the high-definition video effect, collect empirical data, and combine the actual user experience to generate a parameter configuration library, see the following table for details:

The parameter configuration library matches the application side with the bandwidth adaptive model, and each end automatically configures the model by pulling the model from the server. Including: packet loss and retransmission threshold; audio mixing and forwarding delay threshold; request key frame minimum time interval threshold; control code rate minimum encoding lower limit value threshold; congestion prediction adjustment threshold; service cluster resource concurrency threshold, etc. Reasonable parameter adjustments are triggered through the above control thresholds, and continuous optimization is carried out in combination with the parameter configuration library scheme to complete the smooth adjustment of audio and video bandwidth evaluation, improve self-adaption ability, response delay, and audio and video stability, and give users a better audio and video experience. .

In this embodiment, by combining the audio and video communication bandwidth evaluation algorithm with the actual application scenario, the bandwidth adaptive model is comprehensively formulated through multiple latitudes such as terminal, conference form, network environment, and number of users, so as to realize the corresponding creation model of the pre-configured access terminal, so as to achieve its maximum value as much as possible. The corresponding ideal network transmission capability improves the video effect. Secondly, combined with the bandwidth adaptive model, the corresponding customized parameter configuration library is applied to dynamically set the terminal parameters to more rationally match the actual business scenario, and realize the adaptive and fast adjustment of the minimum range of dynamic bandwidth within the parameter configuration interval in the corresponding model.

In addition, the present application also provides a bandwidth adaptive device, the device includes a memory, a processor, and a bandwidth adaptive program stored in the memory and run on the processor, the device obtains the Communication scenario: determine the estimated bandwidth value according to the communication scenario, and use the estimated bandwidth value to communicate with the terminal; when it is detected that the communication quality does not meet the preset communication conditions, adjust the configuration parameters of the terminal. In this application, the bandwidth is estimated in combination with the communication scene, and then the communication is performed based on the estimated bandwidth value, and then the configuration parameters of the terminal are dynamically adjusted to meet the communication quality requirements. In this way, the video transmission quality is improved.

Further, referring to FIG. 6 , FIG. 6 is a schematic diagram of modules of the bandwidth adaptive method of the present application.

The bandwidth adaptive device 100 includes an acquisition module 10, a communication module 20 and an adjustment module 30, wherein:

An acquisition module 10, configured to acquire the communication scene between the server and the terminal;

A communication module 20, configured to determine an estimated bandwidth value according to the communication scenario, and use the estimated bandwidth value to communicate with the terminal;

The adjustment module 30 is configured to adjust the configuration parameters of the terminal when it is detected that the communication quality does not meet the preset communication conditions.

Further, the adjustment module 30 includes a first acquisition unit, a determination unit and an adjustment unit:

The first obtaining unit is configured to obtain a first communication parameter corresponding to communication based on the estimated bandwidth value;

The determining unit is configured to determine that the communication quality does not meet a preset communication condition when the first communication parameter does not match the set communication parameter;

The adjusting unit is configured to determine a communication failure type according to the first communication parameter, and adjust configuration parameters of the terminal according to the communication failure type.

Further, the adjustment unit includes a first determination subunit and an adjustment subunit:

The first determination subunit is configured to determine the threshold value of each of the configuration parameters of the terminal according to the communication failure type;

The adjustment subunit is configured to adjust configuration parameters of the terminal according to the threshold value.

Further, the communication module 20 includes a second acquisition unit and a determination unit:

The second obtaining unit is configured to obtain a preset bandwidth adaptive algorithm;

The determining unit is configured to determine the estimated bandwidth value by using the preset bandwidth adaptive algorithm and the communication scenario.

Further, the determining unit includes a second determining subunit:

The second determination subunit is configured to determine conference information of the audio conference and/or video conference when the communication scenario is an audio conference and/or video conference, where the conference information includes conference type, participant At least one of the number of participants, the type of participant terminal, and the network environment corresponding to the parameter terminal;

The second determining subunit is further configured to determine the estimated bandwidth value according to the preset bandwidth adaptive algorithm and the conference information.

Further, the second determination subunit is further configured to obtain the packet loss rate and transmission and reception delay of data packets between the server and the terminal when the server and the terminal communicate based on the conference information. time information;

The second determining subunit is further configured to determine network congestion according to the packet loss rate and the sending and receiving delay information;

The second determining subunit is further configured to determine the estimated bandwidth value according to the network congestion situation.

Further, the bandwidth adaptive device 100 also includes a first acquisition module and a first adjustment module;

The first obtaining module is configured to obtain the second communication parameter of each parameter terminal when the communication scene is an audio conference and/or video conference and includes at least two participating terminals;

The first obtaining module is also used to obtain target participants whose second communication parameters do not match the preset communication parameters;

The adjustment module is configured to adjust bandwidth information with the target participant terminal according to the communication parameters.

The implementation of the functions of each module of the above-mentioned bandwidth self-adapting device is similar to the process in the above-mentioned method embodiment, and will not be repeated here.

In addition, the present application also provides a storage medium, on which a bandwidth adaptive method program is stored, and when the bandwidth adaptive method program is executed by a processor, the steps of the above bandwidth adaptive method are realized.

Those skilled in the art should understand that the embodiments of the present application may be provided as methods, systems, or computer program products. 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, etc.) having computer-usable program code embodied therein.

The present application is described with reference to flowcharts and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the present application. It should be understood that each procedure and/or block in the flowchart and/or block diagram, and a combination of procedures and/or blocks in the flowchart and/or block diagram can be realized by computer program instructions. These computer program instructions may be provided to a general purpose computer, special purpose computer, embedded processor, or processor of other programmable data processing equipment to produce a machine such that the instructions executed by the processor of the computer or other programmable data processing equipment produce a An apparatus for realizing the functions specified in one or more procedures of the flowchart and/or one or more blocks of the block diagram.

These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing apparatus to operate in a specific manner, such that the instructions stored in the computer-readable memory produce an article of manufacture comprising instruction means, the instructions The device realizes the function specified in one or more procedures of the flowchart and/or one or more blocks of the block diagram.

These computer program instructions can also be loaded onto a computer or other programmable data processing device, causing a series of operational steps to be performed on the computer or other programmable device to produce a computer-implemented process, thereby The instructions provide steps for implementing the functions specified in the flow chart or blocks of the flowchart and/or the block or blocks of the block diagrams.

It should be noted that, in the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The application can be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In a unit claim enumerating several means, several of these means can be embodied by one and the same item of hardware. The use of the words first, second, and third, etc. does not indicate any order. These words can be interpreted as names.

While alternative embodiments of the present application have been described, additional changes and modifications to these embodiments may be made by those skilled in the art once the basic inventive concept is appreciated. Therefore, it is intended that the appended claims be interpreted to cover alternative embodiments and all changes and modifications that fall within the scope of the application.

Obviously, those skilled in the art can make various changes and modifications to the application without departing from the spirit and scope of the application. In this way, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalent technologies, the present application is also intended to include these modifications and variations.

Claims (10)

1. A bandwidth adaptive method, characterized in that being applied to a server, said method comprising: Obtain the communication scene between the server and the terminal; determining an estimated bandwidth value according to the communication scenario, and using the estimated bandwidth value to communicate with the terminal; When it is detected that the communication quality does not satisfy the preset communication condition, the configuration parameters of the terminal are adjusted. 2. The bandwidth adaptive method according to claim 1, wherein the step of adjusting the configuration parameters of the terminal comprises: Acquiring a first communication parameter corresponding to communication based on the estimated bandwidth value; When the first communication parameter does not match the set communication parameter, it is determined that the communication quality does not meet the preset communication condition; A communication failure type is determined according to the first communication parameter, and configuration parameters of the terminal are adjusted according to the communication failure type. 3. The bandwidth adaptive method according to claim 2, wherein the step of adjusting configuration parameters of the terminal according to the type of communication failure comprises: determining the threshold value of each of the configuration parameters of the terminal according to the communication failure type; Adjusting configuration parameters of the terminal according to the threshold value. 4. The bandwidth adaptive method according to claim 1, wherein the step of determining an estimated bandwidth value according to the communication scenario comprises: Obtain the preset bandwidth adaptive algorithm; The estimated bandwidth value is determined by using the preset bandwidth adaptive algorithm and the communication scenario. 5. The bandwidth adaptive method according to claim 4, wherein the step of determining the estimated bandwidth value using the preset bandwidth adaptive algorithm and the communication scenario comprises: When the communication scenario is an audio conference and/or video conference, determine the conference information of the audio conference and/or the video conference, where the conference information includes the conference type, the number of participants, the participant terminal type, and the parameter terminal At least one of the corresponding network environments; The estimated bandwidth value is determined according to the preset bandwidth adaptive algorithm and the conference information. 6. The bandwidth adaptive method according to claim 5, wherein the step of determining the estimated bandwidth value according to the preset bandwidth adaptive algorithm and the meeting information comprises: When the server and the terminal communicate based on the conference information, acquire the packet loss rate and sending and receiving delay information of data packets between the server and the terminal; determining network congestion according to the packet loss rate and the sending and receiving delay information; The estimated bandwidth value is determined according to the network congestion situation. 7. The bandwidth adaptive method according to claim 1, wherein the method further comprises: When the communication scenario is an audio conference and/or video conference and includes at least two participating terminals, acquiring a second communication parameter of each parameter terminal; Obtaining target conference participants whose second communication parameters do not match the preset communication parameters; Adjusting the bandwidth information with the target participant terminal according to the communication parameters. 8. A bandwidth adaptive device, characterized in that the bandwidth adaptive device includes an acquisition module, a communication module and an adjustment module, wherein: The acquisition module is used to acquire the communication scene between the server and the terminal; A communication module, configured to determine an estimated bandwidth value according to the communication scenario, and use the estimated bandwidth value to communicate with the terminal; An adjustment module, configured to adjust configuration parameters of the terminal when it is detected that the communication quality does not meet the preset communication conditions. 9. A bandwidth adaptive device, characterized in that the device includes a memory, a processor and a bandwidth adaptive program stored on the memory and running on the processor, and the processor executes the bandwidth adaptive program When realizing the steps of the method as any one of claims 1 to 7. 10. A storage medium, characterized in that a bandwidth adaptive program is stored on the storage medium, and when the bandwidth adaptive program is executed by a processor, the method according to any one of claims 1 to 7 is implemented. step.

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