CN109600670A - The multimedia way to play for time of car networking, storage medium and terminal based on big data - Google Patents

The multimedia way to play for time of car networking, storage medium and terminal based on big data Download PDF

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Publication number
CN109600670A
CN109600670A CN201811401050.5A CN201811401050A CN109600670A CN 109600670 A CN109600670 A CN 109600670A CN 201811401050 A CN201811401050 A CN 201811401050A CN 109600670 A CN109600670 A CN 109600670A
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multimedia
play
data
time
big data
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CN201811401050.5A
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CN109600670B (en
Inventor
皮碧虹
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SHENZHEN TONGXINGZHE TECHNOLOGY Co Ltd
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SHENZHEN TONGXINGZHE TECHNOLOGY Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/41Structure of client; Structure of client peripherals
    • H04N21/414Specialised client platforms, e.g. receiver in car or embedded in a mobile appliance
    • H04N21/41422Specialised client platforms, e.g. receiver in car or embedded in a mobile appliance located in transportation means, e.g. personal vehicle
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/50Network services
    • H04L67/56Provisioning of proxy services
    • H04L67/568Storing data temporarily at an intermediate stage, e.g. caching
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/433Content storage operation, e.g. storage operation in response to a pause request, caching operations
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/433Content storage operation, e.g. storage operation in response to a pause request, caching operations
    • H04N21/4331Caching operations, e.g. of an advertisement for later insertion during playback
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/442Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/442Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
    • H04N21/44209Monitoring of downstream path of the transmission network originating from a server, e.g. bandwidth variations of a wireless network

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  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Multimedia (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Databases & Information Systems (AREA)
  • Information Transfer Between Computers (AREA)
  • Traffic Control Systems (AREA)

Abstract

The multimedia way to play for time of a kind of car networking based on big data provided by the present invention, storage medium and terminal, method includes: the operation information that terminal detects triggered multimedia buffer logic, then acquiring vehicle current line makes ambient condition and present multimedia broadcast state, and it is uploaded to cloud server, cloud server receives the information of terminal transmission, the calculating parameter by big data processing is obtained to carry out the prediction of vehicle anchor point state and be sent to terminal, terminal receives the prediction result of cloud server feedback, then calculate data volume required for the multimedia buffered in certain time span, and it downloads, it is loaded onto player buffer area.The present invention calculates data volume required for the multimedia of car networking multimedia buffer time span domestic demand broadcasting using cloud big data, automatic buffer simultaneously loads, to in the case where car networking environment, road conditions, driving trace are complicated, bandwidth is more effectively utilized, while obtaining more smooth media play effect.

Description

The multimedia way to play for time of car networking, storage medium and terminal based on big data
Technical field
The present invention relates to car networking multimedia technology field more particularly to a kind of more matchmakers of car networking based on big data Way to play for time, storage medium and the terminal of body.
Background technique
With being constantly progressive for automotive engineering, in-vehicle multi-media system as high added value electronic product in automobile institute The specific gravity accounted for is increasing, especially vehicle multimedia navigation system.The common scheme of vehicle mounted multimedia buffer logic is big at present Mostly it is to be realized using bandwidth calculation, i.e., according to bandwidth calculation in conjunction with the time for needing to buffer, buffers in advance more in a period of time Media data.But this kind of scheme is applied in the stable environment of conventional internet and mobile Internet bandwidth, just can guarantee band It is wide efficiently to utilize and result of broadcast, and under car networking environment, especially road conditions are complicated, driving trace complexity when, be just difficult to protect Demonstrate,prove the effective use and multimedia result of broadcast of bandwidth.
Therefore, the existing technology needs further improvement.
Summary of the invention
In view of the above shortcomings in the prior art, a kind of based on big data it is an object of the invention to be provided for user The multimedia way to play for time of car networking, storage medium and terminal, by calculating car networking multimedia using cloud big data Data volume required for the multimedia that the need in certain time span play is buffered, automatic buffer simultaneously loads, thus in car networking ring In the case that border, road conditions, driving trace are complicated, bandwidth is more effectively utilized, while obtaining more smooth media play effect.
The technical proposal for solving the technical problem of the invention is as follows:
A kind of multimedia way to play for time of car networking based on big data, wherein the described method includes:
Terminal detects the operation information of triggered multimedia buffer logic, then acquiring vehicle current line makes ambient condition and work as Preceding multimedia state, and it is uploaded to cloud server;
Cloud server receives vehicle when currently exercising ambient condition and present multimedia broadcast state, then obtains process The calculating parameter of big data processing carries out the prediction of vehicle anchor point state, and prediction result is sent to terminal;
Terminal receives the prediction result of cloud server feedback, then calculates the multimedia institute buffered in certain time span The data volume needed, and download in requisition for data volume multi-medium data, and be loaded onto player buffer area.
The multimedia way to play for time of car networking based on big data, wherein the terminal detects the more matchmakers of triggering The operation information of body buffer logic, then acquiring vehicle current line makes ambient condition and present multimedia broadcast state, and is uploaded to The step of cloud server, specifically includes:
Terminal detects the operation information of triggered multimedia buffer logic, then wakes up starting module;
Starting module executes the instruction of starting multimedia buffer logic, and acquires vehicle current line and make ambient condition and current Multimedia state, is then uploaded to cloud server.
The multimedia way to play for time of car networking based on big data, wherein the cloud server receives vehicle It is current when exercising ambient condition and present multimedia broadcast state, then it obtains and carries out vehicle by the calculating parameter that big data is handled The prediction of anchor point state, and the step of prediction result is sent to terminal specifically includes:
Cloud server receives vehicle when currently exercising ambient condition and present multimedia broadcast state, then starts prediction Module;
The calculating parameter that prediction module obtains by big data processing carries out summarizing calculating, predicts what vehicle will pass through Path anchor point, the network state of anchor point position and by the time required for anchor point, are then forwarded to terminal.
The multimedia way to play for time of car networking based on big data, wherein the terminal receives cloud service The prediction result of device feedback, then calculate data volume required for the multimedia buffered in certain time span, and downloads corresponding need The multi-medium data for the data volume wanted, and the step of being loaded onto player buffer area specifically includes:
Terminal receives the prediction result of cloud server feedback, then log-on data amount computing module;
Data volume computing module receives the network state of anchor point position and passes through the time required for anchor point, in conjunction with Present multimedia broadcast state calculates data volume required for the multimedia buffered in certain time span using algorithm and sends To download module;
Download module downloading in requisition for data volume multi-medium data, caching is to file or memory, and Real-time Feedback Download information is to cloud server;
When reach in requisition for data volume when, then trigger play buffering module, will downloading complete buffered data load To the player buffer area of play buffering module.
The multimedia way to play for time of car networking based on big data, wherein the download module downloading is corresponding to be needed The multi-medium data for the data volume wanted, caching to file or memory, and the step of Real-time Feedback download information to cloud server Further include:
In downloading process, if there is continuous time rate less than predetermined deviation rate, the buffer number needed is predicted again According to amount.
The multimedia way to play for time of car networking based on big data, wherein the triggered multimedia buffer logic Operation include pre-set timer, automatically switch media before or manual switching media after.
The method of the multimedia buffering of car networking based on big data, wherein the vehicle current driving environment State includes current location status, navigational state, driving status and network environment status.
The multimedia way to play for time of car networking based on big data, wherein the location status include longitude and latitude, Height above sea level;
Whether the navigational state includes running section, comprising tunnel;
The driving status includes current driving speed;
The network environment status includes current Wifi, base station signal strength or bandwidth.
A kind of storage medium, wherein the storage medium is stored with computer program, and the computer program can be held Row is to realize the multimedia way to play for time of described in any item car networkings based on big data as above.
A kind of terminal, wherein include: processor, the memory that is connect with processor communication, the memory is stored with meter Calculation machine program, the computer program is for being performed the realization as above more matchmakers of described in any item car networkings based on big data The way to play for time of body;The processor is used to call the computer program in the memory, to realize described in any one as above The multimedia way to play for time of the car networking based on big data.
The utility model has the advantages that a kind of multimedia way to play for time of car networking based on big data provided by the present invention, storage are situated between Matter and terminal, method include: the operation information that terminal detects triggered multimedia buffer logic, then acquiring vehicle current line makes ring Border state and present multimedia broadcast state, and it is uploaded to cloud server;Cloud server receives vehicle and currently exercises ring When border state and present multimedia broadcast state, then obtains and carry out vehicle anchor point state by the calculating parameter that big data is handled Prediction, and prediction result is sent to terminal;Terminal receives the prediction result of cloud server feedback, then calculates and buffer certain Data volume required for multimedia in time span, and download in requisition for data volume multi-medium data, and be loaded onto Player buffer area.The present invention is broadcast by calculating the need in car networking multimedia buffer time span using cloud big data Data volume required for the multimedia put, automatic buffer simultaneously load, thus complicated in car networking environment, road conditions, driving trace In the case of, bandwidth is more effectively utilized, while obtaining more smooth media play effect.
Detailed description of the invention
Fig. 1 is the process of the multimedia way to play for time preferred embodiment of the car networking of the present invention based on big data Figure.
Fig. 2 is triggered eventually in the multimedia way to play for time preferred embodiment of the car networking of the present invention based on big data Hold and upload the work flow diagram of cloud server.
Fig. 3 is that cloud takes in the multimedia way to play for time preferred embodiment of the car networking of the present invention based on big data The work flow diagram for device prediction vehicle anchor point state of being engaged in.
Fig. 4 is of the present invention in the multimedia way to play for time preferred embodiment of the car networking of big data based on terminal Calculate the work flow diagram of data volume required for buffering the multimedia in certain time span.
Fig. 5 is the functional schematic block diagram of terminal of the present invention.
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention clearer and more explicit, right as follows in conjunction with drawings and embodiments The present invention is further described.It should be appreciated that specific embodiment described herein is used only for explaining the present invention, and do not have to It is of the invention in limiting.
Referring to Figure 1, Fig. 1 is the multimedia way to play for time preferred embodiment of the car networking of the present invention based on big data Flow chart.As shown in Figure 1, which comprises
Step S100, terminal detects the operation information of triggered multimedia buffer logic, then acquiring vehicle current line makes ring Border state and present multimedia broadcast state, and it is uploaded to cloud server.
Step S200, when cloud server receives vehicle and currently exercises ambient condition and present multimedia broadcast state, It then obtains and carries out the prediction of vehicle anchor point state by the calculating parameter that big data is handled, and prediction result is sent to terminal.
Step S300, terminal receives the prediction result of cloud server feedback, then calculates and buffer in certain time span Multimedia required for data volume, and download in requisition for data volume multi-medium data, and be loaded onto player buffering Area.
Further, as shown in Fig. 2, the step 100 specifically includes:
S101, terminal detect the operation information of triggered multimedia buffer logic, then wake up starting module.
S102, starting module execute the instruction of starting multimedia buffer logic, and acquire vehicle current line and make ambient condition With present multimedia broadcast state, it is then uploaded to cloud server.
Further, as shown in figure 3, the step 200 specifically includes:
S201, cloud server receive vehicle when currently exercising ambient condition and present multimedia broadcast state, then open Dynamic prediction module;
The calculating parameter that S202, prediction module obtain by big data processing carries out summarizing calculating, and predicting vehicle will The path anchor point of process, the network state of anchor point position and by the time required for anchor point, are then forwarded to terminal.
When it is implemented, then waking up firstly, the terminal of car networking detects the operation information of triggered multimedia buffer logic Starting module makes it execute the instruction of starting multimedia buffer logic, and acquires vehicle current line and make ambient condition and current more matchmakers Then body broadcast state is uploaded to cloud server prediction module.Wherein starting module is responsible for starting buffering under special scenes Logic, i.e., when detecting the operation of user's triggered multimedia buffer logic, the timer that such as pre-sets automatically switches matchmaker Before body or after manual switching media, it can all start multimedia buffer logic, for example, user's manual switching music is to " next ", Then this, which operates starting module of just having set out, makes it execute the instruction of starting multimedia buffer logic, and then completes multimedia slow Punching.Further, the terminal is mobile terminal (such as mobile phone, tablet computer etc.) or (the general fixed setting of other intelligent terminals In vehicle interior).Prediction module refers to big data prediction module, by local sensor data-interface and can apply data Interface obtains vehicle current driving ambient condition and present multimedia broadcast state.Wherein, the vehicle current driving environment shape State include current location status (such as longitude and latitude, height above sea level etc.), navigational state (such as running section, whether comprising tunnel Deng), driving status (such as current driving speed etc.) and network environment status (such as current Wifi, base station signal strength or band Width etc.), the present multimedia broadcast state includes the playing duration, playback progress and broadcasting code rate of present multimedia.Then The calculating parameter that prediction module obtains by big data processing carries out summarizing calculating, predicts vehicle anchor point state, that is, predicts The network state of path anchor point, anchor point position that vehicle will pass through and by the time required for anchor point, and will prediction As a result it is sent to terminal.Wherein, the network state of anchor point position includes the signal strength and transmission belt of anchor point position Width, data volume computing module receive present multimedia and broadcast playing duration, playback progress and play code rate, anchor point position Signal strength and transmission bandwidth and by the time required for anchor point, the more matchmakers buffered in certain time span are calculated using algorithm Data volume required for body.
As it can be seen that when terminal (such as mobile phone, tablet computer) detects the operation information of user's triggered multimedia buffer logic When, the timer that such as pre-sets automatically switches before media or after manual switching media, then acquiring vehicle current line makes environment Then state and present multimedia broadcast state are uploaded to cloud server and carry out calculating the multimedia buffered in certain time span Required data volume, that is to say, that need to be according to multimedia playing duration D, code rate M, the bandwidth of the anchor point of prediction passes through anchor The time of point, the data volume that can just calculate the required downloading in time N later is P, just to guarantee in time span N Play smooth.In this way, as long as user's triggered multimedia buffer logic, unites in conjunction with the powerful data summarization of cloud server big data Meter, prediction, computing function, can be completed multimedia buffering.
Further, as shown in figure 4, the step 300 specifically includes:
S301, terminal receive the prediction result of cloud server feedback, then log-on data amount computing module.
When S302, data volume computing module receive the network state of anchor point position and pass through required for anchor point Between, in conjunction with present multimedia broadcast state, data required for the multimedia buffered in certain time span are calculated using algorithm It measures and is sent to download module.
S303, download module downloading in requisition for data volume multi-medium data, caching is to file or memory, and in real time Download information is fed back to cloud server.
S304, when reach in requisition for data volume when, then trigger play buffering module, will downloading complete buffered data It is loaded onto the player buffer area of play buffering module.
When it is implemented, then log-on data amount calculates mould firstly, terminal receives the prediction result of cloud server feedback Block, data volume computing module received the network state of anchor point position and by the time required for anchor point, in conjunction with current Multimedia state calculates data volume required for the multimedia buffered in certain time span using algorithm and is sent to down Carry module, download module then download in requisition for data volume multi-medium data, while caching to file or memory, and real-time Download information (position and real time rate such as downloading) is fed back to cloud server, for cloud server statistics different sections of highway Bandwidth, for big data prediction later, when reach in requisition for data volume P when, stop downloading, and it is slow to trigger broadcasting The buffered data that downloading is completed is loaded onto the player buffer area of play buffering module by die block, is carried out for media player Decoding plays.It should be noted that if there is continuous time rate less than default (P/N*R) deviation ratio, being said in downloading process The wide appearance of oolemma is abnormal, then predicts the amount of buffered data needed again, adjust to buffering strategy.
The present invention also provides a kind of terminals, as shown in figure 5, the terminal includes: processor (processor) 10, deposits Reservoir (memory) 20, communication interface (Communications Interface) 30 and communication bus 40;Wherein,
The processor 10, memory 20, communication interface 30 complete mutual communication by the communication bus 40;
The communication interface 30 is for the information transmission between the communication equipment of the terminal;
The processor 10 is used to call the computer program in the memory 20, to execute above-mentioned each method embodiment Provided method, for example, terminal detects the operation information of triggered multimedia buffer logic, then acquires vehicle current line Make ambient condition and present multimedia broadcast state, and is uploaded to cloud server;Cloud server receives vehicle current line When making ambient condition and present multimedia broadcast state, then obtains and carry out vehicle anchor point shape by the calculating parameter that big data is handled The prediction of state, and prediction result is sent to terminal;Terminal receives the prediction result of cloud server feedback, then calculates slow Rush data volume required for the multimedia in certain time span, and download in requisition for data volume multi-medium data, and add It is loaded onto player buffer area.
The present invention also provides a kind of storage mediums, wherein the storage medium is stored with computer program, the computer Program can be performed to realize the multimedia way to play for time of car networking based on big data.
In conclusion a kind of multimedia way to play for time of car networking based on big data provided by the present invention, storage are situated between Matter and terminal, method include: the operation information that terminal detects triggered multimedia buffer logic, then acquiring vehicle current line makes ring Border state and present multimedia broadcast state, and it is uploaded to cloud server;Cloud server receives vehicle and currently exercises ring When border state and present multimedia broadcast state, then obtains and carry out vehicle anchor point state by the calculating parameter that big data is handled Prediction, and prediction result is sent to terminal;Terminal receives the prediction result of cloud server feedback, then calculates and buffer certain Data volume required for multimedia in time span, and download in requisition for data volume multi-medium data, and be loaded onto Player buffer area.The present invention is broadcast by calculating the need in car networking multimedia buffer time span using cloud big data Data volume required for the multimedia put, automatic buffer simultaneously load, thus complicated in car networking environment, road conditions, driving trace In the case of, bandwidth is more effectively utilized, while obtaining more smooth media play effect.
Certainly, those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, It is that related hardware (such as processor, controller etc.) can be instructed to complete by computer program, the program can store In a computer-readable storage medium, which may include the process such as above-mentioned each method embodiment when being executed.Its Described in storage medium can be for memory, magnetic disk, CD etc..
It, can according to the technique and scheme of the present invention and its hair it is understood that for those of ordinary skills Bright design is subject to equivalent substitution or change, and all these changes or replacement all should belong to the guarantor of appended claims of the invention Protect range.

Claims (10)

1. a kind of multimedia way to play for time of car networking based on big data, which is characterized in that the described method includes:
Terminal detects the operation information of triggered multimedia buffer logic, then acquiring vehicle current line makes ambient condition and current more Media play state, and it is uploaded to cloud server;
Cloud server receives vehicle when currently exercising ambient condition and present multimedia broadcast state, then obtains through excessive number The prediction of vehicle anchor point state is carried out according to the calculating parameter of processing, and prediction result is sent to terminal;
Terminal receives the prediction result of cloud server feedback, then calculates required for the multimedia buffered in certain time span Data volume, and download in requisition for data volume multi-medium data, and be loaded onto player buffer area.
2. the multimedia way to play for time of the car networking according to claim 1 based on big data, which is characterized in that the end End detects the operation information of triggered multimedia buffer logic, then acquiring vehicle current line broadcasts ambient condition and present multimedia State is put, and the step of being uploaded to cloud server specifically includes:
Terminal detects the operation information of triggered multimedia buffer logic, then wakes up starting module;
Starting module executes the instruction of starting multimedia buffer logic, and acquires vehicle current line and make ambient condition and current more matchmakers Body broadcast state, is then uploaded to cloud server.
3. the multimedia way to play for time of the car networking according to claim 2 based on big data, which is characterized in that the cloud When end server receives vehicle and currently exercises ambient condition and present multimedia broadcast state, then obtains and handled by big data Calculating carry out the prediction of vehicle anchor point state, and the step of prediction result is sent to terminal specifically includes:
Cloud server receives vehicle when currently exercising ambient condition and present multimedia broadcast state, then starts prediction mould Block;
The calculating parameter that prediction module obtains by big data processing carries out summarizing calculating, predicts the path that vehicle will pass through Anchor point, the network state of anchor point position and by the time required for anchor point, are then forwarded to terminal.
4. the multimedia way to play for time of the car networking according to claim 3 based on big data, which is characterized in that the end Termination receives the prediction result of cloud server feedback, then calculates data required for the multimedia buffered in certain time span Amount, and download in requisition for data volume multi-medium data, and the step of being loaded onto player buffer area specifically includes:
Terminal receives the prediction result of cloud server feedback, then log-on data amount computing module;
Data volume computing module received the network state of anchor point position and by the time required for anchor point, in conjunction with current Multimedia state calculates data volume required for the multimedia buffered in certain time span using algorithm and is sent to down Carry module;
Download module downloading in requisition for data volume multi-medium data, caching is to file or memory, and Real-time Feedback is downloaded Information is to cloud server;
When reach in requisition for data volume when, then trigger play buffering module, the buffered data that downloading is completed be loaded onto and broadcast Slow down the player buffer area of die block.
5. the multimedia way to play for time of the car networking according to claim 4 based on big data, which is characterized in that under described Carry module downloading in requisition for data volume multi-medium data, caching is to file or memory, and Real-time Feedback download information is extremely The step of cloud server further include:
In downloading process, if there is continuous time rate less than predetermined deviation rate, the amount of buffered data needed is predicted again.
6. the multimedia way to play for time of the car networking according to claim 5 based on big data, which is characterized in that the touching Hair multimedia buffer logic operation include pre-set timer, automatically switch media before or manual switching media after.
7. the method for the multimedia buffering of the car networking according to claim 6 based on big data, which is characterized in that described Vehicle current driving ambient condition includes current location status, navigational state, driving status and network environment status.
8. the multimedia way to play for time of the car networking according to claim 7 based on big data, which is characterized in that institute's rheme The state of setting includes longitude and latitude, height above sea level;
Whether the navigational state includes running section, comprising tunnel;
The driving status includes current driving speed;
The network environment status includes current WiFi, base station signal strength or bandwidth.
9. a kind of storage medium, which is characterized in that the storage medium is stored with computer program, and the computer program can It is performed to realize such as the multimedia way to play for time of the described in any item car networkings based on big data of claim 1-8.
10. a kind of terminal characterized by comprising processor, the memory connecting with processor communication, the memory are deposited Computer program is contained, the computer program is described in any item based on big for being performed realization such as claim 1-8 The multimedia way to play for time of the car networking of data;The processor is used to call the computer program in the memory, with reality Now such as the multimedia way to play for time of the described in any item car networkings based on big data of claim 1-8.
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