CN113709582B - A kind of bandwidth measurement method and device - Google Patents

Abstract

The application discloses a bandwidth measurement method and device, wherein the method comprises the following steps: when a client receives video data returned by a server, judging whether the bandwidth of the video data needs to be filtered according to preset bandwidth filtering conditions; if not, updating the current bandwidth measurement parameters according to the video data; and the client judges whether the preset bandwidth measurement condition is met or not currently according to the bandwidth measurement parameter and the preset sampling period in real time, if so, triggers bandwidth sampling according to the bandwidth measurement parameter, acquires the current bandwidth sampling point number, and calculates the current bandwidth measurement value according to the sampled bandwidth value and the bandwidth sampling point number. By adopting the method and the device, the received data bandwidth is filtered, bandwidth measurement is carried out based on the filtered bandwidth measurement parameters, the measurement accuracy and the real-time performance can be improved, and the operation cost is low.

Description

A kind of bandwidth measurement method and device

Technical field

The present invention relates to streaming media technology, and in particular to a bandwidth measurement method and device.

Background technique

With the development of network technology in recent years, the use of streaming media has spread across all aspects of people's work and life. Various terminals such as TVs, mobile phones, and notebooks use streaming media to play videos. How to achieve smooth terminal video and fast playback have become crucial factors affecting users’ video viewing experience. To achieve smooth playback of streaming video, it is necessary to more quickly calculate the user's accurate network bandwidth value in the current time period under complex and changeable network conditions, so that the user can adaptively switch to the most appropriate bit rate video resource for playback. Download and play.

Currently, the commonly used bandwidth measurement scheme is to construct a QoE model (such as a filter, Lyapunov model, etc.) based on the bandwidth information of downloaded streaming media clips or the download time of the video clips to be downloaded, and then, based on the model The output calculates the current bandwidth.

In the process of implementing the present application, the inventor found that the existing bandwidth measurement technology has problems such as high computational overhead, inaccurate measurement, and poor real-time performance.

Contents of the invention

In view of this, the main purpose of the present invention is to provide a bandwidth measurement method and device that can improve measurement accuracy and real-time performance and have low computational overhead.

In order to achieve the above objects, the technical solutions proposed by the embodiments of the present invention are:

A bandwidth measurement method that includes:

When the client receives the video data returned by the server, it determines whether the bandwidth of the video data needs to be filtered based on the preset bandwidth filtering conditions; if not, updates the current bandwidth measurement parameters based on the video data;

The client determines whether the preset bandwidth measurement conditions are currently met based on the bandwidth measurement parameters and the preset sampling period in real time. If so, triggers bandwidth sampling based on the bandwidth measurement parameters and obtains the current bandwidth. The number of sampling points. Calculate the current bandwidth measurement value based on the sampled bandwidth value and the number of bandwidth sampling points.

Preferably, the bandwidth filtering conditions include:

The video data belongs to preset file data with a small amount of data, and the file data with a small amount of data includes index file data and initialization segment data; and/or, the current time interval from the latest request to download video data is less than the preset filtering time threshold.

Preferably, the bandwidth measurement parameters include the transmission time to be used for bandwidth sampling and the total amount of video data that has been received and does not require bandwidth filtering.

Preferably, updating the current bandwidth measurement parameters according to the video data includes:

The transmission time to be used for bandwidth sampling is set to the current time interval from the most recent request to download video data;

Add the size of the video data to the current total amount of video data.

Preferably, the method further includes:

When it is determined that the bandwidth of the video data needs to be filtered, and the download unit to which the video data belongs has a suspended download operation, and it is satisfied that: when the time interval from the latest request to download video data is less than the preset filtering time threshold, the current The total amount of video data that has participated in bandwidth measurement is set to the total amount of video data that has been currently received and does not require bandwidth filtering, and the current sampling period timing is reset to zero.

Preferably, the bandwidth measurement conditions include:

The sampling period is currently reached;

Alternatively, the number of video data that has not yet participated in bandwidth measurement among the currently received video data that does not require bandwidth filtering is greater than a preset bandwidth measurement quantity threshold.

Preferably, according to the bandwidth measurement parameter, triggering bandwidth sampling includes:

If the transmission time to be used for bandwidth sampling is within a preset time range, then according to the transmission time to be used for bandwidth sampling and the video data that has not yet participated in the bandwidth measurement among the currently received video data that does not require bandwidth filtering Number of data, calculate the bandwidth value of the current sampling.

Preferably, obtaining the current number of bandwidth sampling points includes:

Divide the currently received and not displayed data playback duration by the sampling period to obtain the initial number of sampling points;

If the playback duration of the maximum download unit of the currently played file is less than the preset duration threshold, the bandwidth that matches the initial number of sampling points is determined based on the mapping relationship between the preset number of initial sampling points and the number of bandwidth sampling points. The number of sampling points is set to the current number of bandwidth sampling points. Otherwise, the current number of bandwidth sampling points is set to the preset maximum number of sampling points threshold.

An embodiment of the present invention also provides a bandwidth measurement device, which is installed in the client and includes:

The bandwidth filtering unit is used to determine whether the bandwidth of the video data needs to be filtered according to the preset bandwidth filtering conditions when the client receives the video data returned by the server; if not, update the current video data based on the video data. bandwidth measurement parameters;

A bandwidth measurement unit configured to determine whether the preset bandwidth measurement conditions are currently met based on the bandwidth measurement parameters and the preset sampling period in real time. If so, trigger bandwidth sampling based on the bandwidth measurement parameters and obtain the current The number of bandwidth sampling points, and the current bandwidth measurement value is calculated based on the sampled bandwidth value and the number of bandwidth sampling points.

An embodiment of the present invention also provides an electronic device for bandwidth measurement, which is characterized in that it includes a processor and a memory;

The memory stores an application program that can be executed by the processor, and is used to cause the processor to perform the bandwidth measurement method as described above.

Embodiments of the present invention also provide a computer-readable storage medium in which computer-readable instructions are stored, and the computer-readable instructions are used to execute the bandwidth measurement method as described above.

To sum up, the bandwidth measurement solution proposed by the embodiment of the present invention is applied to the client. When the client receives the video data returned by the server, it needs to determine whether the bandwidth of the currently received data is based on the preset bandwidth filtering conditions. Filtering is required, that is, whether it is possible to participate in bandwidth measurement. If filtering is required, the parameters used for bandwidth measurement will not be updated based on the currently received data. In this way, the effectiveness and accuracy of the bandwidth measurement parameters can be improved, which will easily affect the bandwidth measurement. The factor of accuracy is excluded from bandwidth measurement, which can improve the accuracy and real-time performance of bandwidth measurement. And because there is no need to adopt a QoE model, the computational overhead of bandwidth measurement can be greatly reduced compared to existing bandwidth measurement methods. Small.

Description of drawings

Figure 1 is a schematic flow chart of a method according to an embodiment of the present invention;

Figure 2 is a schematic structural diagram of the device according to the embodiment of the present invention.

Detailed ways

In order to make the purpose, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail below with reference to the accompanying drawings and specific embodiments.

After careful research and analysis of existing bandwidth measurement solutions, the inventor found that the main reasons for the above-mentioned problems of high computational overhead, inaccurate measurement and poor real-time performance are as follows:

1. The existing bandwidth measurement solution is implemented based on the QoE model, and its model calculation formula is relatively cumbersome, which will increase the computational overhead of the solution operation, thereby affecting the bandwidth calculation efficiency.

2. Existing bandwidth measurement solutions need to wait for the completion of downloading of single or multiple continuous download units before calculating bandwidth, which will affect the real-time performance of bandwidth measurement. Wherein, the download unit refers to the streaming media data requested by the user at one time.

3. During the downloading process of streaming media data, the downloading of audio data and video data is independent. When the user requests the downloading of audio data, the downloading of video data needs to be paused. In this way, there may be a pause time in the downloading process of video data. segment, resulting in idle time without video data transmission during the video data download process. Existing bandwidth measurement solutions are based on the reception of video data, and the existence of the above-mentioned idle time is not considered when calculating the video data transmission time, resulting in inaccurate bandwidth measurement.

4. Video files include not only video main data, but also other types of data with small amounts of data: such as text information mpd and initial configuration information (init segment) used to carry key information of the video. The download unit where these other types of data are located will have a very fast transmission rate due to the small amount of data. Therefore, the download rate of these download units does not match the actual bandwidth. However, existing bandwidth measurement solutions do not distinguish between downloads of small data. Therefore, bandwidth measurement will be limited by the influence of these small data, resulting in inaccuracy issues. In addition, when the server performs streaming media transmission, it will divide the download unit requested by the user into several parts and transmit them sequentially. In this way, the tail data of the last download unit transmitted may be very small, resulting in a very fast transmission rate.

5. During the actual transmission of streaming media data, it may be affected by network fluctuations, causing the download speed of individual data to be very fast. The download speed of these data cannot reflect the normal bandwidth. Therefore, when measuring bandwidth, these individual data The download speed also affects the accuracy of the bandwidth measurement.

Based on the above problem analysis, this application will no longer implement bandwidth measurement based on the model to reduce computing overhead. When performing bandwidth, in order to improve the accuracy of bandwidth measurement, the bandwidth of the currently received data will be screened in real time to see if it can be used for bandwidth measurement. , to filter out data that will affect the accuracy of bandwidth measurement, update the parameters used for bandwidth measurement based on the unfiltered video data, and trigger bandwidth measurement immediately when the preset bandwidth measurement conditions are met, without Wait for one or several download units to be downloaded before triggering bandwidth measurement to improve the real-time performance of bandwidth measurement.

Figure 1 is a schematic flow chart of a bandwidth measurement method according to an embodiment of the present invention. As shown in Figure 1, this embodiment mainly includes:

Step 101. When the client receives the video data returned by the server, it determines whether the bandwidth of the video data needs to be filtered based on the preset bandwidth filtering conditions; if not, updates the current bandwidth measurement based on the video data. parameter.

In this step, when the client receives the video data returned by the server according to the data download request, it filters whether the bandwidth of the received video data can be used for bandwidth measurement based on the preset bandwidth filtering conditions, and analyzes the bandwidth in real time. The measurement parameters are updated accordingly to filter out data that will affect the accuracy of the bandwidth measurement, enhance the effectiveness of the parameters used for bandwidth measurement, and thereby improve the accuracy of the bandwidth measurement.

Here, the bandwidth of the video data needs to be filtered means that the bandwidth of the video data is filtered out and cannot participate in the bandwidth measurement.

Preferably, in order to obtain a better filtering effect, the bandwidth filtering condition can be set based on the transmission time and/or transmission size of the received video data.

In one implementation, the bandwidth filtering conditions that can be set include the following:

The video data belongs to preset file data with a small data volume, and the file data with a small data volume includes index file data and initialization segment data;

And/or, the current time interval from the latest request to download video data is less than the preset filtering time threshold.

The above bandwidth filtering conditions take into account that the data volume of small data volume files is very small, and the download units they occupy are accordingly very small. The download rate of these download units is often not consistent with the actual bandwidth. Therefore, it can be considered to Bandwidth is filtered out to improve the accuracy of bandwidth measurements. Specifically, the small amount of file data includes index file data of video files (such as mpd, m3u8, etc.) and initialization segment data (such as init segment), but is not limited to this, and may also include other data content with a small amount of data. .

In the above bandwidth filtering condition "The current time interval from the most recent request to download video data is less than the preset filtering time threshold", "The current time interval from the most recent request to download video data" represents the transmission duration of the currently received data. When this condition is met, it means that the transmission duration of the currently received data is very short. In this case, it is possible that the amount of data in the download unit itself is very small, or the amount of remaining data after the download unit resumes downloading due to suspension is very small, or it may be that It may be due to the influence of network fluctuations that the abnormally fast transmission rate is obtained. These situations with very short transmission time usually cannot reflect the real bandwidth situation. Therefore, you can consider filtering out the data bandwidth received in such situations to improve the accuracy of bandwidth measurement. sex.

For the filtering time threshold, those skilled in the art can set a reasonable value according to actual needs, so that the filtering time threshold can be used to filter out data bandwidth that cannot represent the current real bandwidth situation. For example, it can be set to 100ms, but it is not limited to this.

In one implementation, the bandwidth measurement parameters that need to be updated in real time may specifically include: transmission time to be used for bandwidth sampling and the total amount of video data that has been received and does not require bandwidth filtering.

Correspondingly, the following methods can be used to update the current bandwidth measurement parameters:

The transmission time to be used for bandwidth sampling is set to the current time interval from the latest request to download video data; the size of the video data is added to the current total amount of video data.

Here, the transmission time to be used for bandwidth sampling is set to the current time interval from the most recent request to download video data, where the most recent request for data can be the first request to download a data unit, or it can be the resumption of downloading after the download is paused. The data download request triggered. In this way, through the above update, the transmission time to be used for bandwidth sampling will always record the transmission time of the latest requested data. In this way, the idle time after the download is paused can be excluded to prevent idle time from affecting the accuracy of bandwidth measurement.

In the above update method, for video data that does not require bandwidth filtering, the data size is added to the current total amount of video data, so that during bandwidth measurement, this parameter can be calculated with the total amount of data currently participating in the bandwidth measurement. The difference is obtained to obtain the amount of data that currently does not require filtering and does not participate in bandwidth measurement, and then bandwidth sampling can be performed based on this amount of data.

Correspondingly, in one implementation, if the bandwidth filtering condition includes the above-mentioned "the current time interval from the latest request to download video data is less than the preset filtering time threshold", then in step 101, when the current need is detected Filter the bandwidth of the video data, and the download unit to which the video data belongs has a download pause operation, and meets the following requirements: when the time interval from the latest request to download video data is less than the preset filtering time threshold, you need to "Total amount of video data currently participating in bandwidth measurement" is set to "Total amount of video data currently received and does not require bandwidth filtering", and the current sampling period timing is reset to zero.

In the above method, it is considered that if the download unit to which the video data belongs has a suspended download operation and satisfies: the current time interval from the latest request to download video data is less than the preset filtering time threshold, it means that the currently received data is due to suspended downloading. The remaining data in the download unit is small, and the amount of data transferred after resuming downloading is small and needs to be filtered. In this case, the download time of the download unit cannot be accurately used to calculate the bandwidth. Therefore, all downloaded and undownloaded data information of the download unit needs to be filtered. Therefore, in the above method, the current "amount of data that does not require filtering and does not participate in bandwidth measurement" needs to be set to zero, that is, the "total amount of video data that currently participates in bandwidth measurement" needs to be set to "currently received and does not participate in bandwidth measurement" The total amount of video data that requires filtering bandwidth" so that the difference between the two is zero. In this way, it can be ensured that the "transmission time to be used for bandwidth sampling" and "the amount of data that currently does not need to be filtered and is not involved in bandwidth measurement" will be consistent. They both correspond to the newly received unfiltered and sampled data. data, thus ensuring that subsequent sampling results will not be affected by current data filtering.

Step 102: The client determines whether the preset bandwidth measurement conditions are currently met based on the bandwidth measurement parameters and the preset sampling period in real time. If so, triggers bandwidth sampling based on the bandwidth measurement parameters and obtains The current number of bandwidth sampling points. Calculate the current bandwidth measurement value based on the sampled bandwidth value and the number of bandwidth sampling points.

The difference between this step and the existing technology is that when it is determined that the preset bandwidth measurement conditions are met based on the current bandwidth measurement parameters and the preset sampling period, it is necessary to consider triggering the bandwidth measurement without waiting for one or several download units. Bandwidth measurement is triggered after the download is completed, thereby improving the real-time performance of bandwidth measurement.

Specifically, in order to improve the real-time performance of the bandwidth, when calculating the current bandwidth measurement value, the calculation needs to be based on the latest M bandwidth sampling values. Wherein, if the currently sampled bandwidth value reaches the number of bandwidth sampling points, M is the number of bandwidth sampling points currently acquired; otherwise, M is the number of all bandwidth values that have actually been acquired.

When specifically using the M newly sampled bandwidth sample values to calculate the current bandwidth measurement value, the average value may be calculated, but is not limited to this, and may also be other calculation methods that can make the measurement results more closely match the real bandwidth.

In one implementation, in order to improve the timeliness of bandwidth measurement, the bandwidth measurement conditions may be set to include the following:

The sampling period is currently reached; or, the number of video data that has not yet participated in bandwidth measurement among the currently received video data that does not require bandwidth filtering is greater than the preset bandwidth measurement quantity threshold.

The monitoring of whether the sampling period has arrived can be implemented through a timer.

Based on the above bandwidth measurement conditions, when the preset sampling period is reached, or the number of received video data that does not require filtering bandwidth and has not yet participated in bandwidth measurement reaches a certain amount, triggering the bandwidth measurement calculation needs to be considered.

The sampling period and the bandwidth measurement quantity threshold can be set by those skilled in the art according to actual needs, as long as the timeliness and accuracy of the bandwidth measurement can be ensured.

In one implementation, after it is determined that the preset bandwidth measurement conditions are currently met, the following method may be used to trigger bandwidth sampling based on the bandwidth measurement parameters:

If the transmission time to be used for bandwidth sampling is within a preset time range, then according to the transmission time to be used for bandwidth sampling and the currently received video data that does not require bandwidth filtering and has not yet participated in the bandwidth measurement The number of video data, calculate the bandwidth value of the current sampling.

In the above method, considering that the transmission time of the data samples based on bandwidth sampling is too short, which will affect the authenticity of the sampling results, in order to further improve the effectiveness of bandwidth sampling, the above time range is set, and only the data currently to be used for bandwidth sampling is set. Bandwidth sampling can only be performed when the transmission time is within this time range. Specifically, in one implementation, the time range is greater than or equal to the preset minimum sampling transmission time and less than or equal to the sampling period. In this way, it can be avoided as much as possible: due to the transmission duration corresponding to the sampling sample data being too short, affect the accuracy of sampling results. For the minimum sampling transmission time, those skilled in the art can set an appropriate value according to the needs of actual application scenarios.

In one implementation, in step 102, the current number of bandwidth sampling points can also be obtained based on the currently received and not displayed data playback duration, so as to improve the accuracy of bandwidth measurement by dynamically obtaining the current number of bandwidth sampling points. Specifically, you can use the following steps to obtain the current number of bandwidth sampling points:

Step x1: Divide the currently received and not displayed data playback duration by the sampling period to obtain the initial number of sampling points.

This step is used to determine the number of initial sampling points based on the playback duration corresponding to the currently cached undisplayed data, so that in subsequent steps, based on the number of initial sampling points, the number of sampling points finally used for bandwidth measurement can be obtained. Here, since the playback duration of the current cached data is taken into consideration when determining the number of initial sampling points, the number of sampling points ultimately used for bandwidth measurement can match the duration of the current cached data, thereby ensuring the continuity and consistency of bandwidth sampling. real-time.

Step x2: If the playback duration of the maximum download unit of the currently played file is less than the preset duration threshold, determine the number of sampling points corresponding to the number of initial sampling points based on the mapping relationship between the preset number of initial sampling points and the number of bandwidth sampling points. The number of matching bandwidth sampling points is set to the current number of bandwidth sampling points. Otherwise, the current number of bandwidth sampling points is set to the preset maximum number of sampling points threshold.

Here, in order to make the determined number of bandwidth sampling points match the transmission requirements of the currently played file, when setting the current number of bandwidth sampling points, the playback duration of the maximum download unit of the currently played file is taken into account, and the playback duration is not too long. For a long time, according to the preset mapping relationship between the number of initial sampling points and the number of bandwidth sampling points, the current number of bandwidth sampling points is determined based on the number of initial sampling points obtained in step x1. When the playback time of the maximum download unit of the currently played file is long, it means that the required bandwidth is large. At this time, the current number of bandwidth sampling points is set to the preset maximum number of sampling points threshold, and as many sampling points as possible can be used. quantity to improve the accuracy of bandwidth measurements.

Among them, the mapping relationship between the number of initial sampling points and the number of bandwidth sampling points can be set according to a proportional relationship between the two, so that when the duration of the data to be played in the buffer area is relatively large, a larger bandwidth can be set The number of sampling points can be based on more sampling data to improve the accuracy of bandwidth measurement.

For the threshold of the maximum number of sampling points, those skilled in the art can set an appropriate value based on actual experience, as long as the accuracy requirements of the bandwidth measurement can be met as much as possible.

Corresponding to the above method embodiments, embodiments of the present invention also provide a bandwidth measurement device, which is provided in the client and includes:

The bandwidth filtering unit 201 is used to determine whether the bandwidth of the video data needs to be filtered according to the preset bandwidth filtering conditions when the client receives the video data returned by the server; if not, update the video data based on the video data. Current bandwidth measurement parameters;

The bandwidth measurement unit 202 is configured to determine whether the preset bandwidth measurement conditions are currently met based on the bandwidth measurement parameters and the preset sampling period in real time. If so, trigger bandwidth sampling based on the bandwidth measurement parameters and obtain The current number of bandwidth sampling points. Calculate the current bandwidth measurement value based on the sampled bandwidth value and the number of bandwidth sampling points.

Based on the above embodiments of the bandwidth measurement method, embodiments of the present application also implement an electronic device for bandwidth measurement, including a processor and a memory; the memory stores an application program that can be executed by the processor, and is used to make the The processor executes the bandwidth measurement method as described above. Specifically, a system or device equipped with a storage medium may be provided, on which the software program code that implements the functions of any of the above embodiments is stored, and the computer (or CPU or MPU) of the system or device ) reads and executes the program code stored in the storage medium. In addition, some or all of the actual operations can also be completed by the operating system operating on the computer through instructions based on the program code. The program code read from the storage medium can also be written into a memory provided in an expansion board inserted into the computer or into a memory provided in an expansion unit connected to the computer, and then based on the instructions of the program code, the program code is installed in the computer. The CPU on the expansion board or expansion unit performs some and all actual operations, thereby realizing the functions of any of the above bandwidth measurement method implementations.

Among them, the memory can be implemented as various storage media such as electrically erasable programmable read-only memory (EEPROM), flash memory (Flash memory), programmable programmable read-only memory (PROM), etc. The processor may be implemented to include one or more central processing units or one or more field programmable gate arrays, where the field programmable gate array integrates one or more central processing unit cores. Specifically, the central processing unit or central processing unit core may be implemented as a CPU or MCU.

The embodiment of the present application implements a computer program product, which includes a computer program/instruction. When the computer program/instruction is executed by a processor, the steps of the bandwidth measurement method as described above are implemented.

It should be noted that not all steps and modules in the above-mentioned processes and structure diagrams are necessary, and some steps or modules can be ignored according to actual needs. The execution order of each step is not fixed and can be adjusted as needed. The division of each module is only for the convenience of describing the functional division. In actual implementation, one module can be implemented by multiple modules, and the functions of multiple modules can also be implemented by the same module. These modules can be located on the same device. , or it can be on a different device.

The hardware modules in various embodiments may be implemented mechanically or electronically. For example, a hardware module may include specially designed permanent circuits or logic devices (such as a dedicated processor such as an FPGA or ASIC) to perform specific operations. Hardware modules may also include programmable logic devices or circuits (eg, including general-purpose processors or other programmable processors) temporarily configured by software to perform specific operations. As for the specific use of mechanical means, or the use of dedicated permanent circuits, or the use of temporarily configured circuits (such as configured by software) to implement the hardware modules, it can be decided based on cost and time considerations.

As used herein, "illustrative" means "serving as an example, illustration, or illustration." Any illustration or implementation described as "illustrative" herein should not be construed as a more preferred or advantageous one. Technical solutions. In order to keep the drawings concise, the figures in each figure only schematically show the relevant parts of the present invention, and do not represent the actual structure of the product. In addition, in order to make the drawings concise and easy to understand, in some drawings, only one of the components with the same structure or function is schematically illustrated or labeled. In this article, "a" does not mean that the number of relevant parts of the present invention is limited to "only one", and "a" does not mean that the number of relevant parts of the present invention is excluded from being "more than one". In this article, "upper", "lower", "front", "back", "left", "right", "inner", "outer", etc. are only used to express the relative positional relationship between relevant parts. The absolute position of these relevant parts is not limited.

The above descriptions are only preferred embodiments of the present invention and are not intended to limit the scope of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention shall be included in the protection scope of the present invention.

Claims (10)

1. A bandwidth measurement method, characterized by including: When the client receives the video data returned by the server, it determines whether the bandwidth of the video data needs to be filtered based on the preset bandwidth filtering conditions; if not, updates the current bandwidth measurement parameters based on the video data; The client determines whether the preset bandwidth measurement conditions are currently met based on the bandwidth measurement parameters and the preset sampling period in real time. If so, triggers bandwidth sampling based on the bandwidth measurement parameters and obtains the current bandwidth. The number of sampling points, calculate the current bandwidth measurement value based on the sampled bandwidth value and the number of bandwidth sampling points; The bandwidth filter conditions include: The video data belongs to preset file data with a small data volume, and the file data with a small data volume includes index file data and initialization segment data; And/or, the current time interval from the latest request to download video data is less than the preset filtering time threshold. 2. The method of claim 1, wherein the bandwidth measurement parameter includes a transmission time to be used for bandwidth sampling and a total amount of video data that has been received and does not require bandwidth filtering. 3. The method according to claim 2, characterized in that, according to the video data, updating the current bandwidth measurement parameters includes: The transmission time to be used for bandwidth sampling is set to the current time interval from the most recent request to download video data; Add the size of the video data to the current total amount of video data. 4. The method according to claim 2, characterized in that the method further comprises: When it is determined that the bandwidth of the video data needs to be filtered, and the download unit to which the video data belongs has a suspended download operation, and it is satisfied that: when the time interval from the latest request to download video data is less than the preset filtering time threshold, the current The total amount of video data that has participated in bandwidth measurement is set to the total amount of video data that has been currently received and does not require bandwidth filtering, and the current sampling period timing is reset to zero. 5. The method according to claim 1, characterized in that the bandwidth measurement conditions include: The sampling period is currently reached; Alternatively, the number of video data that has not yet participated in bandwidth measurement among the currently received video data that does not require bandwidth filtering is greater than a preset bandwidth measurement quantity threshold. 6. The method of claim 2, wherein triggering bandwidth sampling according to the bandwidth measurement parameter includes: If the transmission time to be used for bandwidth sampling is within a preset time range, then according to the transmission time to be used for bandwidth sampling and the currently received video data that does not require bandwidth filtering and has not yet participated in the bandwidth measurement The number of video data, calculate the bandwidth value of the current sampling. 7. The method according to claim 1, characterized in that obtaining the current number of bandwidth sampling points includes: Divide the currently received and not displayed data playback duration by the sampling period to obtain the initial number of sampling points; If the playback duration of the maximum download unit of the currently played file is less than the preset duration threshold, the bandwidth that matches the initial number of sampling points is determined based on the mapping relationship between the preset number of initial sampling points and the number of bandwidth sampling points. The number of sampling points is set to the current number of bandwidth sampling points. Otherwise, the current number of bandwidth sampling points is set to the preset maximum number of sampling points threshold. 8. A bandwidth measurement device, characterized in that it is installed in a client and includes: The bandwidth filtering unit is used to determine whether the bandwidth of the video data needs to be filtered according to the preset bandwidth filtering conditions when the client receives the video data returned by the server; if not, update the current video data based on the video data. Bandwidth measurement parameters; the bandwidth filtering conditions include: the video data belongs to preset small data volume file data, the small data volume file data includes index file data and initialization segment data; and/or, the current distance is the closest The time interval between requesting to download video data is less than the preset filtering time threshold; A bandwidth measurement unit configured to determine whether the preset bandwidth measurement conditions are currently met based on the bandwidth measurement parameters and the preset sampling period in real time. If so, trigger bandwidth sampling based on the bandwidth measurement parameters and obtain the current The number of bandwidth sampling points, and the current bandwidth measurement value is calculated based on the sampled bandwidth value and the number of bandwidth sampling points. 9. An electronic device for bandwidth measurement, characterized by including a processor and a memory; The memory stores an application program that can be executed by the processor, and is used to cause the processor to execute the bandwidth measurement method according to any one of claims 1 to 7. 10. A computer-readable storage medium, characterized in that computer-readable instructions are stored therein, and the computer-readable instructions are used to execute the bandwidth measurement method according to any one of claims 1 to 7.