CN110460626A - A kind of server and data processing method - Google Patents
A kind of server and data processing method Download PDFInfo
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- CN110460626A CN110460626A CN201810431334.2A CN201810431334A CN110460626A CN 110460626 A CN110460626 A CN 110460626A CN 201810431334 A CN201810431334 A CN 201810431334A CN 110460626 A CN110460626 A CN 110460626A
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- 238000003672 processing method Methods 0.000 title claims abstract description 39
- 230000001360 synchronised effect Effects 0.000 claims abstract description 8
- 238000004590 computer program Methods 0.000 claims description 12
- 238000007405 data analysis Methods 0.000 claims description 9
- 238000004458 analytical method Methods 0.000 claims description 6
- 238000010586 diagram Methods 0.000 description 8
- 238000010276 construction Methods 0.000 description 4
- 238000000034 method Methods 0.000 description 3
- 241001269238 Data Species 0.000 description 2
- 230000004913 activation Effects 0.000 description 2
- 230000003111 delayed effect Effects 0.000 description 2
- 238000005286 illumination Methods 0.000 description 2
- 230000008676 import Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 230000004308 accommodation Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000005012 migration Effects 0.000 description 1
- 238000013508 migration Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1095—Replication or mirroring of data, e.g. scheduling or transport for data synchronisation between network nodes
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/55—Push-based network services
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- Signal Processing (AREA)
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- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The present invention relates to a kind of data processing method and servers.The server includes: data simultaneous module, for obtaining and storing the user account data corresponding to user account of vehicle；Memory module, for obtaining and storing the personally identifiable information of user account；And recommending module, for being arranged based on the user account data recommendation vehicle.According to the present invention, setting data backup of the user in a certain vehicle can be synchronized to server, when user uses the vehicle with money vehicle, server can be directly by setting data recommendation to user, when user uses the vehicle of trendy vehicle, server can will recommend user by calculating the personal settings obtained.
Description
Technical field
The data processing method and server of cloud data processing technique of the present invention more particularly to user's vehicle data.
Background technique
At present when user buys or drive same brand vehicle again, driving preference of the user on preamble vehicle makes
Subsequent vehicle, all vehicle settings and preference data (such as steering wheel position, seat position can not be moved to habit and experience
Deng) need to re-start manual setting.The existing less account concept of vehicle device, vehicle data are only defined in current vehicle, Wu Fajin
The effectively smooth migration of row and the vehicle for being synchronized to new model.
Being disclosed in the information of background parts of the present invention, it is only intended to increase understanding of the overall background of the invention, without answering
When being considered as recognizing or imply that the information constitutes the prior art already known to those of ordinary skill in the art in any form.
Summary of the invention
In consideration of it, being intended to provide a kind of data processing method that can synchronize user account data in time regarding to the issue above
And server.
Further, the present invention is also directed to a kind of setting of the habit of user or preference can be arranged and move to other
The data processing method and server of vehicle.
Kind server of the invention characterized by comprising
Data simultaneous module, for obtaining the user account data for corresponding to the user account of vehicle；And
Recommending module is suitable for the related setting of user for the user account data recommendation.
Optionally, the data simultaneous module is when user unlocks vehicle every time according to corresponding vehicle and user account
Synchronize the user account data.
Optionally, further comprise:
Memory module, for obtaining and storing the personally identifiable information of user account.
Optionally, the recommending module includes:
Submodule is recommended in initial setting up, for obtaining the habit setting for meeting most users according to big data analysis and as first
Begin to be arranged and recommends user；
Conventional arrangement recommends submodule, for according to the user account data recommendation conventional arrangement；
Personal settings recommend submodule, for being calculated according to the user account data and the personally identifiable information
Personalized recommendation setting；And
Submodule is reset, for so that user re-types secretization setting.
Optionally, the personal settings recommend submodule to be based on the user account data, for first kind vehicle
Steering wheel position, seat position, position of rear view mirror, to each user carry out three-dimensional modeling analysis, calculate obtain be directed to second
The position preference of type of vehicle recommends user as personalized recommendation setting.
Optionally, the conventional arrangement recommends submodule, for recommending vehicle as conventional arrangement according to user account data
Setting preference data, navigation preference data, media history data and system preference data.
Data processing method of the invention, which is characterized in that include the following steps:
First receiving step receives the user setting that user carries out on vehicle and the user setting received is uploaded to cloud
End；
Second receiving step receives the user setting from cloud；And
Update step, the user setting more new vehicle received according to first receiving step and second receiving step
Original setting.
Data processing method of the invention, which is characterized in that include the following steps:
Receiving step receives the user setting that user carries out vehicle；And
The user setting that the receiving step receives is uploaded to cloud by sending step.
Data processing method of the invention characterized by comprising
Data synchronizing step obtains the user account data for corresponding to the user account of vehicle；And
Recommendation step is set according to the correlation that the personally identifiable information of user and the user account data recommendation are suitable for user
It sets.
Optionally, in the data synchronizing step, when user unlocks vehicle every time according to corresponding vehicle and use
Family account synchronizes user account data.
Optionally, further comprise:
Storing step obtains and stores the personally identifiable information of user account.
Optionally, the recommendation step includes:
Sub-step is recommended in initial setting up, obtains meeting the habit setting of most users according to big data analysis and as initially setting
It sets and recommends user；
Conventional arrangement recommends sub-step, according to the user account data recommendation conventional arrangement；
Personal settings recommend sub-step, for being calculated according to the user account data and the personally identifiable information
Personalized recommendation setting；And
Sub-step is reset, so that user re-types secretization setting.
Optionally, recommend in sub-step in the personal settings, the user account data are based on, for prototype vehicle
Steering wheel position, seat position, position of rear view mirror, three-dimensional modeling analysis is carried out to each user, calculates and obtains for new
The position preference of vehicle models recommends user as personalized recommendation setting.
Optionally, recommend in sub-step in the conventional arrangement, recommend vehicle as conventional arrangement according to user account data
Setting preference data, navigation preference data, media history data and system preference data.
Data processing method of the invention, which is characterized in that include the following steps:
First receiving step receives the user setting that user carries out on vehicle and the user setting received is uploaded to cloud
End；
Second receiving step receives the user setting from cloud；And
Update step, the user setting more new vehicle received according to first receiving step and second receiving step
Original setting.
Data processing method of the invention, which is characterized in that include the following steps:
Receiving step receives the user setting that user carries out vehicle；And
The user setting that the receiving step receives is uploaded to cloud by sending step.
Computer-readable medium storage of the invention has computer program, which is characterized in that the computer program is processed
Device realizes above-mentioned data processing method when executing.
Computer equipment of the invention, including memory, processor and storage are on a memory and can be on a processor
The computer program of operation, which is characterized in that the processor realizes above-mentioned data processing when executing the computer program
Method.
Data processing method according to the present invention and server are synchronized by carrying out account to user's vehicle data, are made
User buy again or entrance same brand vehicle when, can be obtained from server sync it is all before vehicle data or
The related setting for being suitble to the vehicle can be calculated and recommended by server, and thus, it is possible to driving habit or preference are arranged easily
Move to subsequent vehicle, allow user's in-use automotive when save in the past as experience, improve the comfort and convenience driven
Property.
It is used to illustrate the specific reality of certain principles of the invention together with attached drawing by include this paper attached drawing and then
Mode is applied, other feature possessed by methods and apparatus of the present invention and advantage will become more concrete or explained
It is bright.
Detailed description of the invention
Fig. 1 is the structural frame diagram for indicating server of the invention.
Fig. 2 is the construction block diagram for indicating the engine end of one embodiment of the present invention.
Fig. 3 is the construction block diagram for indicating the user terminal of one embodiment of the present invention.
Fig. 4 is the flow chart for indicating data processing method of the invention.
Fig. 5 is the flow diagram for indicating the data processing method of a specific embodiment of the invention.
Specific embodiment
What is be described below is some in multiple embodiments of the invention, it is desirable to provide to basic understanding of the invention.And
It is not intended to and confirms crucial or conclusive element of the invention or limit scope of the claimed.
Fig. 1 is the structural frame diagram for indicating server of the invention.
As shown in Figure 1, the server of one embodiment of the present invention characterized by comprising
Data simultaneous module 100, for obtaining and storing the user account data corresponding to user account of vehicle；
Memory module 200, for obtaining and storing the personally identifiable information of user account；And
Recommending module 300, for according to the personally identifiable information of user and/or the user account data or big data
Recommend the vehicle setting for being suitable for this driving or this vehicle.
When user carries out the adjustment of the set contents such as preference setting, driving habit on vehicle, set content adjustment
Default initial setting up can be covered, and is uploaded onto the server, that is, data simultaneous module 100 is used to obtain the correspondence uploaded from vehicle
In the user account data of user account, moreover, data simultaneous module 100 is when user unlocks vehicle every time according to corresponding vehicle
And user account synchronize the user account data.Preferably, user is different terminals (vehicle logs in or mobile phone logs in)
The adjustment of progress, which can arrive, is synchronized to data simultaneous module 100, and adding for account data is carried out when user unlocks vehicle next time
It carries to guarantee vehicle data for the newest setting of user.
Specifically, recommending module 300 includes:
Submodule 310 is recommended in initial setting up, and the habit for obtaining meeting most users according to big data analysis is arranged and makees
User is recommended for initial setting up；
Conventional arrangement recommends submodule 320, for according to the user account data recommendation conventional arrangement；
Personal settings recommend submodule 330, for being carried out according to the user account data and the personally identifiable information
Calculate personalized recommendation setting；And
Submodule 340 is reset, for so that user re-types secretization setting.
Specifically, submodule 310, the habit for obtaining meeting most users according to big data analysis are recommended in initial setting up
It is used to be arranged and recommend user as initial setting up, for example, after user's first purchase vehicle and successful activation, all numbers of users
According to system default initial setting up is automatically loaded into, this is initially set to initial setting up and recommends submodule 310 by big data analysis
Obtain the setting for meeting most users use habit.
When user buys again or enters same brand vehicle, if vehicle is identical, the conventional arrangement of recommending module 300
Recommend submodule 320 according to the personally identifiable information of user and the user account data by accounts such as all settings, preferences
Data can be automatically imported in the vehicle bought again, be not necessarily to user's manual setting or selection, moreover, the setting as vehicle A changes
When change, the data of vehicle B can synchronous adjustment.
Furthermore it when user buys again or enters same brand vehicle, if vehicle is different, needs not existed together
Reason: for example part setting and preference can be automatically imported；Partial data needs to reset；And partial data is adjusted.
Recommend submodule 320 to carry out automatic synchronization by conventional arrangement to import in the data being simultaneously consistent with former vehicle models
Hold for instance that
(1) preference data is arranged in vehicle: lock lamp Delayed illumination time, interior trim atmosphere lamp color and brightness drive auxiliary setting, are empty
Adjust setting (wind direction, temperature, air quantity etc.), driving mode setting etc.；
(2) navigate preference data: such as map display mode, navigation visual angle, route preferences, collection address；
(3) media history data: the song list of history, subscription is collected；
(4) preference data: HUD setting, sound setting, the setting of brush face, quick setting etc. is arranged in system.
By personal settings recommend submodule 330 carry out personalized recommendation partial data can according to user's characteristic information,
Personalized adjustment is carried out when importing, it, can be according to individual subscriber such as position of rear view mirror, steering wheel position, driver seat position
Information (such as height, weight, gender) and the existing preference setting of preamble vehicle, the vehicle based on subsequent vehicle carry out corresponding tune
It is whole, guarantee that position adjusted meets the use habit of user.
Specifically, personal settings recommend submodule 330 according to personally identifiable information stored in memory module 300,
Such as height, weight, gender etc., in the habit data basis of user's preamble vehicle, for steering wheel position, seat position,
Position of rear view mirror carries out three-dimensional modeling analysis to each user, is obtained according to data algorithm and most preferably to be recommended on subsequent vehicle
Position preference carries out personalized active accommodation when entering other vehicle models so as to user, user is made to obtain optimum drive body
It tests.
In addition, the secretization for partial data such as vehicle gesture password etc. is arranged, from safety considerations, reset
Submodule 340 to be reset when first used in subsequent vehicle.
Then, the engine end of one embodiment of the present invention is illustrated.
Fig. 2 is the construction block diagram for indicating the engine end of one embodiment of the present invention.
As shown in Fig. 2, engine end includes:
First receiving module 400, the user for receiving preference setting and driving habit etc. that user carries out on vehicle set
It sets and the user setting received is uploaded into cloud (such as server shown in FIG. 1)；
Second receiving module 500, for receiving the user setting from cloud (such as server shown in FIG. 1)；And
Update module 600, the user setting for being received according to first receiving module and second receiving module
The original setting of more new vehicle.
As shown in Fig. 2, user setting, which can be, is arranged on vehicle and passes to cloud, it can also receive user's from cloud
In addition to this setting is to carry out the setting of vehicle at user terminal (such as mobile phone) there are also a kind of mode of user setting.
Fig. 3 is the construction block diagram for indicating the user terminal of one embodiment of the present invention.
As shown in figure 3, user terminal includes:
Receiving module 700, for receiving the user setting of preference setting and driving habit etc. that user carries out vehicle；And
Sending module 800, it is (such as shown in FIG. 1 that the user setting for receiving the receiving module 700 uploads to cloud
Server).
More than, the server, engine end and user terminal of one embodiment of the present invention are illustrated.
Then, data processing method of the invention is illustrated.
The data processing method realized firstly, for server side is illustrated.
Fig. 4 is the flow chart for indicating data processing method of the invention.As shown in figure 4, one embodiment of the present invention number
Include: according to processing method
Data synchronizing step S10 obtains the user account data corresponding to user account of vehicle；
Storing step S20 obtains and stores the personally identifiable information of user account；And
Recommendation step S30 recommends the related setting for being suitable for user.
In the data synchronizing step S10, when user unlocks vehicle every time according to corresponding vehicle and user's account
Family synchronizes user account data.
Wherein, recommendation step S30 specifically includes:
Sub-step S31 is recommended in initial setting up, obtains the habit setting for meeting most users according to big data analysis and as first
Begin to be arranged and recommends user；
Conventional arrangement recommends sub-step, according to the user account data recommendation conventional arrangement；
Personal settings recommend sub-step, for being calculated according to the user account data and the personally identifiable information
Personalized recommendation setting；And
Sub-step is reset, so that user re-types secretization setting.
Wherein, recommend in sub-step in personal settings, the user account data are based on, for the side of former vehicle models
To disk position, seat position, position of rear view mirror, three-dimensional modeling analysis is carried out to each user, calculates and obtains for new model vehicle
Position preference as personalized recommendation setting recommend user.
Wherein, recommend in sub-step in conventional arrangement, recommend vehicle setting as conventional arrangement according to user account data
Preference data, navigation preference data, media history data and system preference data.Then, the number realized for vehicle device end side
It is illustrated according to processing method.
One embodiment of the present invention data processing method, which is characterized in that include the following steps:
First receiving step receives the user setting that user carries out on vehicle and the user setting received is uploaded to cloud
End；
Second receiving step receives the user setting from cloud；And
Update step, the user setting more new vehicle received according to first receiving step and second receiving step
Original setting, wherein the first receiving step and the second receiving step are regardless of time successively.
The data processing method realized finally, for subscriber terminal side is illustrated.
The data processing method of one embodiment of the present invention, which is characterized in that include the following steps:
Receiving step receives the user setting that user carries out vehicle；And
The user setting that the receiving step receives is uploaded to cloud by sending step.
Then, a specific embodiment of data processing method of the invention is illustrated.
Fig. 5 is the flow diagram for indicating the data processing method of a specific embodiment of the invention.
As shown in figure 5, in the step s 100, after user's first purchase vehicle and successful activation, all customer data from
Server loads the system default initial setting up of vehicle A automatically, this is initially set to server and obtains by big data analysis
Meet the setting of most users use habit.
In step s 200, if user is when carrying out the adjustment of the data contents such as preference setting, driving habit on vehicle A,
The adjustment can cover default initial setting up and upload onto the server.Moreover, user is in different terminals (engine end or user terminal example
Such as mobile phone) adjustment that carries out can upload onto the server and be saved, and carry out account data when user unlocks vehicle next time
Load with guarantee vehicle data be the newest setting of user.
In step S300, it is assumed that when user buys once more or enters the vehicle B of same brand, if vehicle is identical,
The account datas such as all settings, preference will be automatically imported from server into vehicle B, be not necessarily to user's manual setting or selection,
Moreover, the data of vehicle B can synchronous adjustment when the setting of vehicle A changes.Assuming that user buys once more or enters same product
When the vehicle B of board, if vehicle is different, part setting and preference can be imported from server automatically, but partial data needs weight
New setting, and partial data needs to be adjusted, it is specific as follows:
Wherein, import from server automatic synchronization and and the data content that is consistent of preamble vehicle A for example,
(1) preference data is arranged in vehicle: lock lamp Delayed illumination time, interior trim atmosphere lamp color and brightness drive auxiliary setting, are empty
Adjust setting (wind direction, temperature, air quantity etc.), driving mode setting etc.；
(2) navigate preference data: such as map display mode, navigation visual angle, route preferences, collection address；
(3) media history data: the song list of history, subscription is collected；And
(4) preference data: HUD setting, sound setting, the setting of brush face, quick setting etc. is arranged in system.
There are also partial data, server can carry out personalized adjustment and recommendation when importing according to user's characteristic information,
It, can be according to userspersonal information's (such as height, weight, gender) and preceding such as position of rear view mirror, steering wheel position, driver seat position
The existing preference setting of sequence vehicle A, the vehicle based on subsequent vehicle B carry out corresponding adjustment, guarantee that position adjusted meets
The use habit of user.
Furthermore there are also partial datas, such as vehicle gesture password, from safety considerations, used for the first time in subsequent vehicle B
When preferably reset.
Further, the present invention also provides a kind of computer-readable mediums, are stored thereon with computer program, and feature exists
In the computer program above-mentioned data processing method when being executed by processor.
Further, the present invention also provides a kind of computer equipments, including memory, processor and storage are on a memory
And the computer program that can be run on a processor, which is characterized in that the processor is realized when executing the computer program
Above-mentioned data processing method.
Data processing method according to the present invention and server are synchronized by carrying out account to user's vehicle data, are made
User buy again or entrance same brand vehicle when, can be obtained from server sync it is all before vehicle data or
The related setting for being suitble to the vehicle can be calculated and recommended by server, and thus, it is possible to driving habit or preference are arranged easily
Move to subsequent vehicle, allow user's in-use automotive when save in the past as experience, improve the comfort and convenience driven
Property.
Example above primarily illustrates data processing method and server of the invention.Although only to this some of hair
Bright specific embodiment is described, but those of ordinary skill in the art it is to be appreciated that the present invention can without departing from
Implement in its spirit and scope in many other forms.Therefore, the example shown is considered as schematical with embodiment
And not restrictive, in the case where not departing from the spirit and scope of the present invention as defined in appended claims, the present invention
Various modification and replacement may be covered.
Claims (18)
1. a kind of server characterized by comprising
Data simultaneous module, for obtaining and storing the user account data of the user account corresponding to vehicle；And
Recommending module, for being arranged based on the user account data recommendation vehicle.
2. server as described in claim 1, which is characterized in that
The data simultaneous module synchronizes the use according to corresponding vehicle and user account when user unlocks vehicle every time
Family account data.
3. server as described in claim 1, which is characterized in that further comprise:
Memory module, for obtaining and storing the personally identifiable information of user account.
4. server as claimed in claim 3, which is characterized in that the recommending module includes:
Submodule is recommended in initial setting up, for obtaining the habit setting for meeting most users according to big data analysis and as first
Begin to be arranged and recommends user；
Conventional arrangement recommends submodule, for according to the user account data recommendation conventional arrangement；
Personal settings recommend submodule, for being calculated according to the user account data and the personally identifiable information
And recommend personal settings；And
Submodule is reset, for so that user re-types secretization setting.
5. server as claimed in claim 3, which is characterized in that
The personal settings recommend submodule to be based on the user account data, for the steering wheel position of previous type of vehicle
It sets, seat position, position of rear view mirror, three-dimensional modeling analysis is carried out to each user, calculates and obtains for latter type vehicle
Position preference recommends user as personalized recommendation setting.
6. server as claimed in claim 3, which is characterized in that
The conventional arrangement recommends submodule, for recommending vehicle that preference number is arranged as conventional arrangement according to user account data
According to, navigation preference data, media history data and system preference data.
7. a kind of engine end characterized by comprising
First receiving module, for receiving user setting that user carries out on vehicle and uploading the user setting received
To cloud；
Second receiving module, for receiving the user setting from cloud；And
Update module, the user setting for being received according to first receiving module and second receiving module update
The original setting of vehicle.
8. a kind of user terminal characterized by comprising
Receiving module, the user setting that vehicle is carried out for receiving user；And
Sending module, the user setting for receiving the receiving module upload to cloud.
9. a kind of data processing method characterized by comprising
Data synchronizing step obtains the user account data corresponding to user account of vehicle；And
Recommendation step is arranged according to the user account data recommendation vehicle.
10. data processing method as claimed in claim 9, which is characterized in that
In the data synchronizing step, used when user unlocks vehicle every time according to corresponding vehicle and user account are synchronous
Family account data.
11. data processing method as claimed in claim 9, which is characterized in that further comprise:
Storing step obtains and stores the personally identifiable information of user account.
12. data processing method as claimed in claim 9, which is characterized in that the recommendation step includes:
Sub-step is recommended in initial setting up, obtains meeting the habit setting of most users according to big data analysis and as initially setting
It sets and recommends user；
Conventional arrangement recommends sub-step, according to the user account data recommendation conventional arrangement；
Personal settings recommend sub-step, for being calculated according to the user account data and the personally identifiable information
And recommend personal settings；And
Sub-step is reset, so that user re-types secretization setting.
13. data processing method as claimed in claim 9, which is characterized in that
Recommend in sub-step in the personal settings, the user account data is based on, for the steering wheel of former vehicle models
Position, seat position, position of rear view mirror carry out three-dimensional modeling analysis to each user, calculate and obtain for new model vehicle
Position preference recommends user as personalized recommendation setting.
14. data processing method as claimed in claim 9, which is characterized in that
Recommend in sub-step in the conventional arrangement, recommends vehicle that preference number is set as conventional arrangement according to user account data
According to, navigation preference data, media history data and system preference data.
15. a kind of data processing method, which is characterized in that include the following steps:
First receiving step receives the user setting that user carries out on vehicle and the user setting received is uploaded to cloud
End；
Second receiving step receives the user setting from cloud；And
Update step, the user setting more new vehicle received according to first receiving step and second receiving step
Original setting.
16. a kind of data processing method, which is characterized in that include the following steps:
Receiving step receives the user setting that user carries out vehicle；And
The user setting that the receiving step receives is uploaded to cloud by sending step.
17. a kind of computer-readable medium, is stored thereon with computer program, which is characterized in that
Data processing method described in any one of claim 9-16 is realized when the computer program is executed by processor.
18. a kind of computer equipment, can run on a memory and on a processor including memory, processor and storage
Computer program, which is characterized in that the processor is realized any one in claim 9-16 when executing the computer program
Data processing method described in.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111301278A (en) * | 2020-02-11 | 2020-06-19 | 北京汽车集团越野车有限公司 | Shared automobile atmosphere lamp setting system and method |
| CN112230589A (en) * | 2020-11-04 | 2021-01-15 | 北京四维智联科技有限公司 | Control method and device of vehicle-mounted machine system, electronic equipment and storage medium |
| CN113450801A (en) * | 2021-08-27 | 2021-09-28 | 广州小鹏汽车科技有限公司 | Voice interaction method, device, system, vehicle and medium |
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| CN107045324A (en) * | 2017-05-31 | 2017-08-15 | 北京小米移动软件有限公司 | Vehicle adjusts method, device and the computer-readable recording medium at seat |
| CN107554450A (en) * | 2017-08-29 | 2018-01-09 | 三星电子（中国）研发中心 | The method and apparatus for adjusting vehicle |
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