CN114919471A - Self-adaptive adjusting method and device for automobile seat, electronic equipment and storage medium - Google Patents
Self-adaptive adjusting method and device for automobile seat, electronic equipment and storage medium Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60N—SEATS SPECIALLY ADAPTED FOR VEHICLES; VEHICLE PASSENGER ACCOMMODATION NOT OTHERWISE PROVIDED FOR
- B60N2/00—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles
- B60N2/02—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles the seat or part thereof being movable, e.g. adjustable
- B60N2/0224—Non-manual adjustments, e.g. with electrical operation
- B60N2/0244—Non-manual adjustments, e.g. with electrical operation with logic circuits
- B60N2/0248—Non-manual adjustments, e.g. with electrical operation with logic circuits with memory of positions
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60N—SEATS SPECIALLY ADAPTED FOR VEHICLES; VEHICLE PASSENGER ACCOMMODATION NOT OTHERWISE PROVIDED FOR
- B60N2/00—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles
- B60N2/02—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles the seat or part thereof being movable, e.g. adjustable
- B60N2/0224—Non-manual adjustments, e.g. with electrical operation
- B60N2/0244—Non-manual adjustments, e.g. with electrical operation with logic circuits
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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- 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
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- H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
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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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Abstract
The invention relates to the technical field of intelligent automobile adjustment, and provides an adaptive automobile seat adjusting method, an adaptive automobile seat adjusting device, electronic equipment and a storage medium, wherein the method comprises the steps of acquiring current seat adjusting configuration information of an automobile seat; performing identity recognition on a target user in a seat to be adjusted, and matching an identity recognition result with user registration information to obtain a matching result, wherein the user registration information comprises user identity information and seat adjustment configuration information which are stored in a cloud terminal; if the matching result is successful, obtaining the adjustment configuration information of the cloud seat of the target user through the cloud; and comparing the current seat adjusting configuration information with the cloud seat adjusting configuration information, and if the current seat adjusting configuration information is inconsistent with the cloud seat adjusting configuration information, controlling the seat to execute automatic seat adjustment according to the cloud seat adjusting configuration information. According to the invention, the user identity information and the seat adjusting configuration information are bound and stored to the cloud, and when the user logs in again, the vehicle can control the seat to automatically adjust to the seat position bound by the user.
Description
Technical Field
The application relates to the technical field of automobile intelligent adjustment, in particular to an automobile seat self-adaptive adjustment method and device, electronic equipment and a storage medium.
Background
The development of the electronic and intelligent automobile is more and more advanced, and with the development of the concept of intelligent seat hiding in recent years, the seat in the automobile is also electrically driven, so that better experience is brought to users compared with the prior manual seat. The seat of the vehicle can be customized and adjusted quickly and automatically in a personalized way, and the comfortable environment for the use of the vehicle can be improved.
At present, various equipment accessories of the vehicle are numerous, different settings are required to be carried out when the vehicle is used every time, the setting time is long, in addition, the set numerical values cannot be remembered to be clear particularly when the vehicle is adjusted every time, the vehicle is still required to be slowly adjusted when the vehicle is used, and therefore each user needs to adjust the vehicle seat, and time and labor are wasted.
In the prior art, the body shape data of a passenger is detected through a camera and a radar, pressure borne by each part of a driver is detected through a pressure sensor, the posture of a seat matched with the driver is adjusted, namely, the seat is assisted by face and weight information, the shape parameters of the human body are obtained, and the seat adjusting data is obtained through calculation or called in a database to automatically match the position of the seat. The method only realizes the data acquisition assistance of the vehicle through each hardware device, adjusts the seat posture, has certain requirements for the hardware device of the vehicle, does not adjust the personalized setting of the user, and mainly focuses on the automatic control adjustment of a single vehicle.
Disclosure of Invention
In view of the above disadvantages of the prior art, the present invention provides a method, an apparatus, an electronic device, and a storage medium for adaptive adjustment of an automobile seat, so as to solve the technical problems in the prior art that the requirement on hardware devices is high and customized seat adjustment is not performed for a user.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
the invention provides a self-adaptive adjusting method of an automobile seat, which comprises the following steps:
acquiring current seat adjustment configuration information of a vehicle seat;
the method comprises the steps of carrying out identity recognition on a target user at a seat to be adjusted, and matching an identity recognition result with user registration information to obtain a matching result, wherein the user registration information comprises user identity information and seat adjustment configuration information which are stored in a cloud end;
if the matching result is successful, obtaining the cloud seat adjustment configuration information of the target user through the cloud;
and comparing the current seat adjusting configuration information with cloud seat adjusting configuration information, and if the current seat adjusting configuration information is not consistent with the cloud seat adjusting configuration information, controlling the seat to execute automatic seat adjustment according to the cloud seat adjusting configuration information.
According to the technical means, the user identity information and the seat adjusting configuration information are bound, the seat adjusting data are stored and bound with the account number of the current user, and when the account number is logged in again, the user identity information and the seat adjusting configuration information can be automatically adjusted to be the user-defined and personalized seat position of the user account number.
The specific use scenarios are as follows: the user checks the identity information through identity recognition (such as login account), adjusts the seat under the condition that the account is logged in, and memorizes the adjustment position of the seat. At the moment, the user identity information and the seat adjusting configuration information are stored in the cloud end, and when the user logs in the vehicle for the next time, the cloud end sends the seat adjusting configuration information stored before to the seat, so that the effect of self-adaptive adjustment of the seat is achieved.
Different users can be identified through user identity information (account data), different cloud seat adjusting configuration information is called corresponding to different users, and the effect that different users obtain different application settings is achieved.
Further, carry out identification to the target user who is in waiting to adjust the seat, match identification result and user registration information, obtain the matching result, still include:
if the matching result is failure, registering according to the identity information of the current user;
prompting a current user to enable the current user to execute manual seat adjustment according to the prompt and record seat adjustment configuration information;
and binding the seat adjustment configuration information and the identity information of the current user, and uploading the binding result to the cloud.
According to the technical means, whether the user is a new user or an old user can be judged according to the matching result of the identity information (account number data) of the user and the user registration information, if the matching result is successful, the user is the old user, and the cloud seat adjustment configuration information of the target user can be called from the cloud so as to execute automatic seat adjustment; if the matching result is failure, the surface is a new user, the user needs to perform manual seat adjustment after registering, and user registration information (identity information (account number data) and seat adjustment configuration information) is stored in the cloud so as to be called when logging in next time.
Further, carry out identification to the target user who is in waiting to adjust the seat, match identification result and user registration information, still include:
acquiring biological identification characteristic information of a current user, wherein the biological identification characteristic information comprises one or a combination of more of face information, human body information, fingerprint information, voiceprint information and pupil information;
comparing the biological identification information of the current user with the registered user identity information, and if the comparison is consistent, the matching result is successful; and if the comparison is inconsistent, the matching result is failure.
According to the technical means, the identity of the target user can be identified in various ways, and the biological identification characteristic information of the current user is obtained, so that the matching result of matching the identity identification result with the user registration information can be quickly and conveniently obtained.
Further, if the matching result is successful, before obtaining the cloud seat adjustment configuration information of the target user through the cloud, the method further includes:
inquiring whether a current user needs to change the adjustment configuration information of the cloud seat;
if the change is needed, prompting the current user so that the current user can execute manual seat adjustment according to the prompt and record the changed seat adjustment configuration information;
and binding the seat adjustment configuration information and the identity information of the current user, and uploading the binding result to the cloud.
According to the technical means, the change of the historically-set seat adjustment configuration information can be simply and quickly completed when an old user logs in, so that the new seat position of the user can be modified according to the user requirement, and the personalized requirement adjustment of the user can be realized.
Further, will the seat adjust configuration information and current user's identity information bind to with binding the result and upload to the high in the clouds, include:
binding seat adjustment configuration information and identity information of a current user and then synchronizing the seat adjustment configuration information and the identity information to the car machine;
the car machine receives and stores the bound seat adjustment configuration information and the identity information of the current user;
and the vehicle machine updates the personalized configuration file of the vehicle end user according to the bound seat adjusting configuration information and the identity information of the current user and synchronizes to the cloud.
According to the technical means, the seat adjusting configuration information at the vehicle end can be rapidly stored to the cloud end, namely, the identity information (account data) of the user and the adjusted seat adjusting configuration information are firstly stored in the vehicle machine and are synchronized to the cloud end from the vehicle machine, so that when a subsequent user logs in an account again, the cloud end seat adjusting configuration information stored before is called from the cloud end, and the effect of self-adaptive adjustment of the seat is achieved.
Further, the seat adjustment configuration information includes seat position information and position percentage.
According to the technical means, the user registration information stored in the cloud comprises user identity information and seat adjustment configuration information, and the stored content comprises the user identity information, seat position information and corresponding position percentage of each seat during adjustment.
Further, the adjustment configuration information of the cloud seat of the target user is obtained through the cloud, and the adjustment configuration information comprises the following steps:
the cloud end sends the adjustment configuration information of the cloud end seats at each set position bound by the target user to the vehicle machine in batches, and waits for a feedback signal of the vehicle machine after each sending;
if the feedback signal fails or the timeout set time is not fed back, the feedback signal is repeatedly sent at least twice; if the feedback signal is successful, the cloud continues to issue the cloud seat adjustment configuration information to the vehicle machine until all the cloud seat adjustment configuration information of all the set positions bound by the target user is issued.
According to the technical means, all the set positions stored in the cloud end and corresponding to the user identity information can be sequentially issued to the seat module, so that the user can conveniently select one set position to adjust the position of the current seat, namely, the user can select one set position to adjust the seat according to actual requirements.
The invention also provides a self-adaptive adjusting device of the automobile seat, which comprises the following components:
the seat pose acquisition module is used for acquiring current seat adjustment configuration information of the vehicle seat;
the identity recognition module is used for carrying out identity recognition on a target user positioned on the seat to be adjusted and matching an identity recognition result with user registration information to obtain a matching result, wherein the user registration information comprises user identity information and seat adjustment configuration information which are stored in a cloud end;
the seat adjusting module is used for obtaining seat adjusting configuration information of a target user through a cloud end, comparing the current seat adjusting configuration information with the cloud seat adjusting configuration information, and if the current seat adjusting configuration information is not consistent with the cloud seat adjusting configuration information, controlling the seat to execute automatic seat adjustment according to the cloud seat adjusting configuration information.
According to the technical means, the invention can bind the user identity information (account data) and the seat adjustment configuration information (seat adjustment data), and bind the user identity information and the seat adjustment configuration information with the account registered by the current user by storing the seat adjustment data, and when the user logs in the account again, the user identity information and the seat adjustment configuration information can be automatically adjusted to the user-defined and personalized seat position with the user account.
The present invention also provides an electronic device, comprising:
one or more processors;
a memory for storing one or more programs that, when executed by the one or more processors, cause the electronic device to implement the car seat adaptation method as described above.
According to the technical means, the electronic equipment can simply and quickly realize the self-adaptive adjusting method of the automobile seat.
The present invention also provides a storage medium having computer readable instructions stored thereon, which, when executed by a processor of a computer, cause the computer to perform the car seat adaptive adjustment method as described above.
According to the above technical means, the storage medium enables a computer to simply and quickly execute the car seat adaptive adjustment method as described above.
The invention has the beneficial effects that:
according to the invention, after the user performs seat personalized adjustment in the vehicle with the account logged in, the user identity information and the seat adjustment configuration information are bound and stored to the cloud, when the user logs in again with the account, the vehicle can automatically recognize the personalized seat position of the identity information (account data), the seat adjustment configuration information is retrieved from the cloud through the identity information, and then the seat adjustment configuration information is sent to the seat adjustment module, so that the seat position is adaptively adjusted to the position stored before;
user registration information corresponding to different users is transmitted to the cloud end through a network, and corresponding seat adjusting configuration information is called by identifying different users, so that each user only needs to set a seat in a vehicle once;
meanwhile, the seat adjusting configuration information is synchronized from the cloud, so that the self-adaption of the seat adjusting configuration information can be achieved when the user identity information (account data) logs in the same vehicle type and different vehicles, the extremely high experience is brought to the driving preparation of the user, and the user does not need to adjust the seat for the driving posture of the user every time the user gets in front of the vehicle.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and, together with the description, serve to explain the principles of the application. It is obvious that the drawings in the following description are only some embodiments of the application, and that for a person skilled in the art, other drawings can be derived from them without inventive effort. In the drawings:
FIG. 1 is a flow chart illustrating a method for adaptive adjustment of a vehicle seat according to an exemplary embodiment of the present application;
fig. 2 is a flowchart of step S200 in a method for adaptive adjustment of a vehicle seat according to an exemplary embodiment of the present application;
fig. 3 is a flowchart illustrating a step S300 in a method for adaptive adjustment of a vehicle seat according to an exemplary embodiment of the present application;
fig. 4 is a flowchart illustrating a method for adaptive adjustment of a vehicle seat according to an exemplary embodiment of the present application after step S200;
fig. 5 is a flowchart illustrating a method for adaptive adjustment of a vehicle seat according to an exemplary embodiment of the present application before step S300;
FIG. 6 is a flowchart illustrating steps S530 and S630 of a method for adaptive adjustment of a vehicle seat according to an exemplary embodiment of the present application;
FIG. 7 is a block diagram of a vehicle seat adaptive adjustment mechanism according to an exemplary embodiment of the present application;
FIG. 8 is a schematic block diagram of a computer system suitable for use to implement the electronic device of the embodiments of the subject application.
Detailed Description
Other advantages and effects of the present invention will become apparent to those skilled in the art from the disclosure of the present specification, wherein the following description is made for the embodiments of the present invention with reference to the accompanying drawings and the preferred embodiments. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It should be understood that the preferred embodiments are illustrative of the invention only and are not limiting upon the scope of the invention.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
In the following description, numerous details are set forth to provide a more thorough explanation of embodiments of the present invention, however, it will be apparent to one skilled in the art that embodiments of the present invention may be practiced without these specific details, and in other embodiments, well-known structures and devices are shown in block diagram form, rather than in detail, in order to avoid obscuring embodiments of the present invention.
With the gradual improvement of the requirement of users on the comfort level of automobiles, the rapid adaptive adjustment of seats becomes a common demand of people. Because various equipment accessories of vehicle are numerous, all need carry out different settings when using each time, the time of setting is longer, and moreover, the numerical value that sets up when adjusting each time also can not remember clearly very much, still need slowly adjust during the use, leads to every user all to adjust the vehicle seat, and is time-consuming and troublesome. Moreover, with the emergence and the gradual popularization of shared automobiles, users still need to reset when changing vehicles (similar vehicle types), and the driving experience of the users is influenced. Although some of the prior art assist the human body through the face and weight information to obtain the human body shape parameters, and obtain or call seat adjustment data in a database through calculation to automatically match the seat position, this method only realizes the data acquisition assistance of the vehicle through each hardware device to adjust the seat posture, and has certain requirements for the hardware device of the vehicle, and mainly focuses on the automatic control adjustment of a single vehicle, which is difficult to meet the personalized setting requirements of users.
In order to solve the above problems, embodiments of the present application respectively propose a car seat adaptive adjustment method, a car seat adaptive adjustment device, an electronic apparatus, and a storage medium, and the embodiments will be described in detail below.
It should be noted that, the user described in the following embodiments refers to a driver using a car; the vehicle machine refers to an automobile and each system in the automobile, and an intelligent terminal is arranged on the vehicle machine; the seat adjusting module is a seat controller and a memory for controlling seat adjustment; the intelligent terminal may be any terminal device supporting installation of control software, such as a smart phone, a vehicle-mounted computer, a tablet computer, a notebook computer, or a wearable device, but is not limited thereto. The cloud may be a cloud server that provides basic cloud computing services such as cloud service, a cloud database, cloud computing, cloud functions, cloud storage, web service, cloud communication, middleware service, domain name service, security service, CDN (Content Delivery Network), and a big data and artificial intelligence platform, which is not limited herein. The intelligent terminal can communicate with the cloud through wireless networks such as a 3G (third generation mobile information technology), a 4G (fourth generation mobile information technology), a 5G (fifth generation mobile information technology) and the like, and the intelligent terminal is not limited herein.
Referring to fig. 1, fig. 1 is a flowchart illustrating a method for adaptive adjustment of a vehicle seat according to an exemplary embodiment of the present application. The method can be applied to specific execution of an implementation environment formed by the vehicle-mounted intelligent terminal, the seat module and the cloud. It should be understood that the method may also be applied to other exemplary implementation environments and specifically executed by devices in other implementation environments, and the embodiment does not limit the implementation environment to which the method is applied.
As shown in fig. 1, in an exemplary embodiment, the adaptive adjusting method for a vehicle seat at least includes steps S100 to S400, which are described in detail as follows:
step S100, current seat adjustment configuration information of the vehicle seat is acquired.
Specifically, the current seat adjustment configuration information of the vehicle seat can be acquired through a seat pose acquisition module arranged at the vehicle end for subsequent comparison and reference.
The seat adjustment configuration information includes seat position information and position percentage. The seat position may be represented by a set of percentage data after the seat has been adjusted.
And S200, identifying the identity of a target user in the seat to be adjusted, and matching the identity identification result with user registration information to obtain a matching result, wherein the user registration information comprises the user identity information and the seat adjustment configuration information which are stored in the cloud.
Specifically, the vehicle-end user logs in, identity recognition is triggered, login verification is conducted, whether the user logs in for the first time or not is judged according to login account information, if the user logs in for the first time, the user is a new user, and if the user does not log in for the first time, the user is an old user, and whether user registration information (user identity information and corresponding seat adjusting configuration information) is stored in the cloud end or not is judged.
Referring to fig. 2, fig. 2 is a flowchart of step S200 in a method for adaptive adjustment of an automobile seat according to an exemplary embodiment of the present application, where the method performs identity recognition on a target user in the seat to be adjusted, matches an identity recognition result with user registration information, and further includes:
s210, obtaining the biological identification characteristic information of the current user, wherein the biological identification characteristic information comprises one or a combination of more of face information, human body information, fingerprint information, voiceprint information and pupil information.
Specifically, the identification of the target user can be performed in multiple modes to obtain biometric characteristic information of the current user, for example, one or a combination of several of face information, body information, fingerprint information, voiceprint information, and pupil information, so as to obtain identification information and account data of the user.
S220, comparing the biological identification information of the current user with the registered user identity information, wherein if the comparison is consistent, the matching result is successful; and if the comparison is inconsistent, the matching result is failure.
Specifically, the corresponding target user identity information may be obtained through the biometric information, and compared with the registered user identity information. Reading the identity information (such as login account information) of a target user, comparing the stored user registration information, judging whether the user identity information is matched with the stored user registration information, if the login user identity information cannot be matched with the stored user registration information, judging that the login is the initial login, sending a signal to a communication bus, and prompting the user by a vehicle-mounted display screen or a user side, wherein the user is a new user; if the login account information is matched with the stored account information, judging that the login is not the initial login, and prompting the user by the vehicle-mounted display screen or the user side, wherein the user is an old user.
And S300, if the matching result is successful, obtaining the adjustment configuration information of the cloud seat of the target user through the cloud.
Specifically, the target user identity recognition result is matched with the user registration information, if the matching result is successful, the user is an old user, the cloud seat adjustment configuration information corresponding to the cloud can be called according to the user identity information, and the cloud seat adjustment configuration information is issued to the vehicle machine.
Referring to fig. 3, fig. 3 is a flowchart of step S300 in a method for adaptive adjustment of a car seat according to an exemplary embodiment of the present application, where obtaining adjustment configuration information of a cloud seat of a target user through a cloud includes:
s310, the cloud sends the adjustment configuration information of the cloud seats at each set position bound by the target user to the vehicle machine in batches, and waits for a feedback signal of the vehicle machine after each sending;
s320, if the feedback signal fails or the timeout set time is not fed back, repeatedly sending the feedback signal at least twice; if the feedback signal is successful, the cloud continues to issue the cloud seat adjustment configuration information to the vehicle machine until all the cloud seat adjustment configuration information of all the set positions bound by the target user is issued.
Specifically, a user completes the setting of seat adjustment at a vehicle end, when the user passes the identification and successfully logs in an account, the self-adaptive adjustment of the vehicle end seat is triggered, corresponding seat adjustment configuration information is called from a cloud end according to the user identity information (such as login account information), and the cloud end issues the seat adjustment configuration information at a first set position to a seat adjustment module and waits for a feedback signal; if the feedback fails or the feedback is not performed within the timeout set time (for example, 400ms), the same information is repeatedly transmitted at least twice; and if the feedback is successful, continuously issuing the seat adjustment configuration information of the second set position, and waiting for the feedback signal until the seat adjustment information of all the set positions of the user is issued to the seat adjustment module. The steps are repeated until all the stored memory positions of the user are transmitted to the seat adjusting module, and the seat adjusting module stores all the adjustment settings of the user on the seat.
And S400, comparing the current seat adjusting configuration information with cloud seat adjusting configuration information, and if the current seat adjusting configuration information is not consistent with the cloud seat adjusting configuration information, controlling the seat to execute automatic seat adjustment according to the cloud seat adjusting configuration information.
Specifically, the cloud seat adjustment configuration information is compared with the current seat adjustment configuration information, and if the adjustment configuration information is not consistent with the current seat adjustment configuration information, the seat can be controlled to execute automatic seat adjustment according to the cloud seat adjustment configuration information; if they are consistent, no adjustment is required. And after the adjustment is finished, feeding back the result of the adjustment finished by the vehicle machine. Wherein, the user can select to adopt a proper group to carry out the current seat adjustment from the plurality of groups of stored seat adjustment configuration information.
The cloud end issues seat adjustment configuration information corresponding to the user identity information to the controller of the car seat module, so that the seat module can acquire the position adjustment information, perform seat adjustment operation according to the position adjustment information, and simultaneously display adjustment pose data in a vehicle-mounted interface, which is not limited in this embodiment. After the adjustment is completed, the result of the adjustment completion can be fed back in the vehicle-mounted interface.
Continuing to refer to fig. 4, fig. 4 is a flowchart after step S200 in the adaptive adjustment method for an automobile seat according to an exemplary embodiment of the present application, where the method performs identity recognition on a target user in the seat to be adjusted, matches an identity recognition result with user registration information to obtain a matching result, and further includes:
and S510, if the matching result is failure, registering according to the identity information of the current user.
Specifically, if the matching result is a failure according to the matching between the identity recognition result and the user registration information, the user is a new user, the vehicle and the cloud end cannot record the seat adjustment configuration information of the user, and the new user registration and the seat adjustment setting need to be stored. And reading the identity information (login account information) of the new user through the vehicle end, and feeding back the identity information to the user to remind the user of performing seat adjustment setting operation. The vehicle-mounted display screen can give an operation prompt in the step.
And S520, prompting the current user to enable the current user to execute manual seat adjustment according to the prompt and record seat adjustment configuration information.
It is understood that the user can manually adjust the front-back position, height position and backrest angle, thigh support and lumbar support, etc. of the seat according to his/her preference and driving habits, each position, for example, front-back position, corresponds to a percentage, and after the seat is adjusted, the seat position can be represented by a set of percentage data.
After the adjustment is finished, judging whether the car machine meets the memory condition, if not, feeding back to the specific reason of the car machine; if yes, continue to step S530.
Specifically, after the user finishes adjusting the seat, the user presses the memory switch, and the controller at the vehicle end can first determine whether the vehicle meets the memory condition, that is, the seat adjustment memory determination logic is completed, specifically by detecting whether the current vehicle supports the seat adaptive function, the seat memory switch adaptation mode, and the vehicle state detection (whether the current vehicle is in a stationary state or a driving state), and the like. If the seat adjustment memory/call condition is satisfied, step S530 is executed to bind the identity information of the user and the adjusted seat adjustment configuration information, and store the information to the cloud. And if the seat adjusting memory/calling adjusting condition is judged not to be met, feeding back the information to the vehicle-mounted display screen or the specific reason of the user side.
And S530, binding the seat adjusting configuration information with the identity information of the current user, and uploading the binding result to a cloud.
In addition, referring to fig. 5, fig. 5 is a flowchart illustrating a method for adaptive adjustment of a vehicle seat according to an exemplary embodiment of the present application before step S300; considering that the user may have a need to change the historical cloud seat adjustment configuration information along with the change of the demand and the state, if the matching result is successful, before obtaining the cloud seat adjustment configuration information of the target user through the cloud, the method further includes:
and S610, inquiring whether the current user needs to change the adjustment configuration information of the cloud seat.
Specifically, if the matching result is successful according to the identity recognition result and the user registration information, which indicates that the user is an old user, the vehicle-mounted display screen can display an inquiry menu before calling the cloud seat adjustment configuration information to inquire whether the user needs to change the cloud seat adjustment configuration information of the historical setting, and the user selects according to actual needs. In consideration of the changing requirements of users, even if seat adjustment information is set before, the historical settings need to be changed due to changes of climate, self-state and the like in the subsequent use process.
Correspondingly, if the cloud seat adjusting configuration information does not need to be changed, the user does not need to perform any operation, the vehicle end calls the corresponding cloud seat adjusting configuration information according to the user identity information, the seat adjusting information is transmitted to the seat adjusting module of the vehicle through the communication bus, the seat adjusting module achieves seat adjustment according to the seat adjusting information, and the setting time is greatly reduced.
And S620, if the change is needed, prompting the current user so that the current user can execute manual seat adjustment according to the prompt and record the changed seat adjustment configuration information.
Specifically, if the user needs to change the adjustment configuration information of the cloud seat, the user identity information (login account information) of the old user is read through the vehicle end and fed back to the user, the user is reminded of performing seat adjustment and change operation, and the vehicle-mounted display screen can give an operation prompt in the step.
Specifically, the user may be prompted to change or add the cloud seat adjustment configuration information. If the adjustment configuration information of the cloud seat is changed, after a user adjusts a new seat position, the new seat adjustment configuration information covers the historical seat adjustment configuration information; if the cloud seat adjusting configuration information is added, after a user adjusts a new seat position, adding the new seat adjusting configuration information into the historical seat adjusting configuration information, and storing the new seat adjusting configuration information and the historical seat adjusting configuration information together;
it can be understood that, the user can adjust the seat setting according to his own needs, and specifically, the front-back position, the height position, the backrest angle, the thigh support, the lumbar support, and the like of the seat can be manually adjusted, each position, for example, the front-back position corresponds to a percentage, and after the seat is adjusted, the seat position can be represented by a set of percentage data.
After the adjustment is finished, judging whether the car machine meets the memory condition, if not, feeding back to the specific reason of the car machine; if yes, the process continues to step S630.
Specifically, after the user finishes adjusting the seat, the user presses the memory switch, and the controller at the vehicle end will first determine whether the vehicle meets the memory condition, i.e., the seat adjustment memory determination logic is completed. (DSM is a smart terminal device used on commercial vehicles, also known as a fatigue driving checking system). Specifically, whether the current vehicle supports a seat adaptive function or not, a seat memory switch adaptation mode, vehicle state detection (whether the vehicle is in a stationary state or a driving state or not), and the like are detected. If the seat adjustment memory/call condition is satisfied, step S630 is executed to bind the identity information of the user and the adjusted seat adjustment configuration information, and store the information to the cloud. And if the condition of the seat regulation memory/calling regulation is judged not to be met, the information is fed back to the vehicle-mounted display screen or the specific reason of the user side.
And S630, binding the seat adjusting configuration information and the identity information of the current user, and uploading the binding result to a cloud.
Referring to fig. 6, a flowchart of steps S530 and S630 of a method for adaptive adjustment of a vehicle seat according to an exemplary embodiment of the present application is shown; in step S530 and step S630, the step of binding the seat adjustment configuration information and the identity information of the current user, and uploading a binding result to a cloud, includes:
and S710, synchronizing the seat adjusting configuration information and the identity information of the current user to the vehicle machine after the seat adjusting configuration information and the identity information of the current user are bound.
Specifically, after the user finishes adjusting the seat, the user presses the memory switch to store the seat adjusting configuration information after the user manually adjusts the seat through the DSM, and meanwhile, the stored seat adjusting configuration information and the identity information of the current user are bound and then synchronously fed back to the vehicle machine.
And S720, the car machine receives and stores the bound seat adjustment configuration information and the identity information of the current user.
Specifically, the seat adjustment configuration information includes seat position information and a position percentage. And the vehicle machine receives the bound seat adjustment configuration information and the current user identity information reported by the DSM and stores the bound seat adjustment configuration information and the current user identity information as a certain setting position, such as a first setting position. In this embodiment, the vehicle is generally equipped with two setting positions, which enables one user to store two adjustment postures of the seat. Thus, each set of user registration information includes user identity information, seat position information, and position percentage, corresponding to a seat adjustment posture of the user.
And S730, the vehicle-mounted terminal updates the personalized configuration file of the vehicle-mounted terminal user according to the bound seat adjusting configuration information and the identity information of the current user and synchronizes to the cloud terminal.
Specifically, after the vehicle machine stores the seat adjustment configuration information, the personalized configuration file of the user at the vehicle machine end can be updated, and meanwhile, the cloud end is synchronously saved through the network, so that when the user logs in next time, no matter the user logs in the same vehicle or the same vehicle type of different vehicles, the seat adjustment configuration information stored in the cloud end can be quickly called through identity information (such as account information), the seat self-adaptive adjustment for the user is carried out, the seat adjustment time is shortened, and the driving experience of the user is improved.
Referring to fig. 7, fig. 7 is a block diagram illustrating an adaptive adjustment apparatus for a vehicle seat according to an exemplary embodiment of the present application. The embodiment does not limit the implementation environment to which the apparatus is applied. As shown in fig. 7, the exemplary adaptive adjusting apparatus for a vehicle seat includes:
a seat pose acquisition module 10 for acquiring current seat adjustment configuration information of the vehicle seat;
the identity recognition module 20 is configured to perform identity recognition on a target user who is located in a seat to be adjusted, and match an identity recognition result with user registration information to obtain a matching result, where the user registration information includes user identity information and seat adjustment configuration information stored in a cloud;
the seat adjusting module 30 is configured to obtain seat adjustment configuration information of a target user through a cloud, compare the current seat adjustment configuration information with the cloud seat adjustment configuration information, and if the current seat adjustment configuration information is not consistent with the cloud seat adjustment configuration information, control the seat to perform automatic seat adjustment according to the cloud seat adjustment configuration information.
It should be noted that the adaptive adjustment device for a car seat provided in the foregoing embodiment and the adaptive adjustment method for a car seat provided in the foregoing embodiment belong to the same concept, and the specific manner in which each module performs operations has been described in detail in the method embodiment, and is not described again here. In practical applications, the adaptive adjustment device for an automobile seat provided in the above embodiment may distribute the above functions by different functional modules according to needs, that is, divide the internal structure of the device into different functional modules to complete all or part of the above described functions, which is not limited herein.
An embodiment of the present application further provides an electronic device, including: one or more processors; a memory for storing one or more programs, which when executed by the one or more processors, cause the electronic device to implement the car seat adaptive adjustment method provided in the above-described embodiments.
Referring to fig. 8, fig. 8 is a schematic structural diagram of a computer system suitable for implementing the electronic device according to the embodiment of the present application. It should be noted that the computer system 1200 of the electronic device shown in fig. 8 is only an example, and should not bring any limitation to the functions and the application scope of the embodiments of the present application.
As shown in fig. 8, the computer system 1200 includes a Central Processing Unit (CPU)1201, which can perform various appropriate actions and processes, such as performing the methods described in the above embodiments, according to a program stored in a Read-Only Memory (ROM) 1202 or a program loaded from a storage section 1208 into a Random Access Memory (RAM) 1203. In the RAM1203, various programs and data necessary for system operation are also stored. The CPU 1201, ROM 1202, and RAM1203 are connected to each other by a bus 1204. An Input/Output (I/O) interface 1205 is also connected to bus 1204.
The following components are connected to the I/O interface 1205: an input section 1206 including a keyboard, a mouse, and the like; an output section 1207 including a Display device such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and a speaker; a storage section 1208 including a hard disk and the like; and a communication section 1209 including a Network interface card such as a LAN (Local Area Network) card, a modem, or the like. The communication section 1209 performs communication processing via a network such as the internet. A driver 1210 is also connected to the I/O interface 1205 as needed. A removable medium 1211, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like, is mounted on the drive 1210 as necessary, so that a computer program read out therefrom is mounted into the storage section 1208 as necessary.
In particular, according to embodiments of the application, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising a computer program for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 1209, and/or installed from the removable medium 1211. The computer program executes various functions defined in the system of the present application when executed by a Central Processing Unit (CPU) 1201.
It should be noted that the computer storage media shown in the embodiments of the present application may be computer readable signal media or computer readable storage media or any combination of the two. The computer storage medium may be, for example, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of computer storage media may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a Read-Only Memory (ROM), an Erasable Programmable Read-Only Memory (EPROM), a flash Memory, an optical fiber, a portable Compact Disc Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer-readable signal medium may include a propagated data signal with a computer program embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. The computer program embodied on the computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. Each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present application may be implemented by software, or may be implemented by hardware, and the described units may also be disposed in a processor. Wherein the names of the elements do not in some way constitute a limitation on the elements themselves.
Another aspect of the present application also provides a storage medium having computer readable instructions stored thereon, which, when executed by a processor of a computer, cause the computer to perform the car seat adaptive adjustment method as described above. The storage medium may be included in the electronic device described in the above embodiment, or may exist alone without being assembled into the electronic device.
The foregoing embodiments are merely illustrative of the principles of the present invention and its efficacy, and are not to be construed as limiting the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (10)
1. A self-adaptive adjusting method for an automobile seat is characterized by comprising the following steps:
acquiring current seat adjustment configuration information of a vehicle seat;
the method comprises the steps of carrying out identity recognition on a target user at a seat to be adjusted, and matching an identity recognition result with user registration information to obtain a matching result, wherein the user registration information comprises user identity information and seat adjustment configuration information which are stored in a cloud end;
if the matching result is successful, obtaining the cloud seat adjustment configuration information of the target user through the cloud;
and comparing the current seat adjusting configuration information with cloud seat adjusting configuration information, and if the current seat adjusting configuration information is not consistent with the cloud seat adjusting configuration information, controlling the seat to execute automatic seat adjustment according to the cloud seat adjusting configuration information.
2. The self-adaptive automobile seat adjusting method according to claim 1, wherein the method comprises the steps of performing identity recognition on a target user at the seat to be adjusted, matching an identity recognition result with user registration information to obtain a matching result, and further comprising:
if the matching result is failure, registering according to the identity information of the current user;
prompting a current user to enable the current user to execute manual seat adjustment according to the prompt and record seat adjustment configuration information;
and binding the seat adjustment configuration information and the identity information of the current user, and uploading the binding result to the cloud.
3. The self-adaptive automobile seat adjusting method according to claim 1, wherein the method comprises the steps of performing identity recognition on a target user at the seat to be adjusted, and matching an identity recognition result with user registration information, and further comprises the steps of:
acquiring biological identification characteristic information of a current user, wherein the biological identification characteristic information comprises one or a combination of more of face information, human body information, fingerprint information, voiceprint information and pupil information;
comparing the biological identification information of the current user with the registered user identity information, and if the comparison is consistent, the matching result is successful; and if the comparison is inconsistent, the matching result is failure.
4. The adaptive automobile seat adjustment method according to claim 1, wherein if the matching result is successful, before obtaining the cloud seat adjustment configuration information of the target user through a cloud, the adaptive automobile seat adjustment method further comprises:
inquiring whether a current user needs to change the adjustment configuration information of the cloud seat;
if the change is needed, prompting the current user so that the current user can execute manual seat adjustment according to the prompt and record the changed seat adjustment configuration information;
and binding the seat adjustment configuration information and the identity information of the current user, and uploading the binding result to the cloud.
5. The self-adaptive automobile seat adjusting method according to claim 2 or 4, wherein the step of binding the seat adjusting configuration information with identity information of a current user and uploading a binding result to a cloud comprises the steps of:
binding the seat adjusting configuration information and the identity information of the current user and then synchronizing the seat adjusting configuration information and the identity information to the vehicle machine;
the vehicle machine receives and stores the bound seat adjustment configuration information and the identity information of the current user;
and the vehicle machine updates the personalized configuration file of the vehicle end user according to the bound seat adjusting configuration information and the identity information of the current user and synchronizes to the cloud.
6. The adaptive automobile seat adjusting method according to claim 1, wherein the seat adjusting configuration information comprises seat position information and a position percentage.
7. The self-adaptive automobile seat adjusting method according to claim 1, wherein obtaining the cloud seat adjusting configuration information of the target user through a cloud comprises:
the cloud end sends the adjustment configuration information of the cloud end seats at each set position bound by the target user to the vehicle machine in batches, and waits for a feedback signal of the vehicle machine after each sending;
if the feedback signal fails or the feedback is not carried out within the timeout set time, repeatedly transmitting the feedback signal at least twice; if the feedback signal is successful, the cloud continues to issue the cloud seat adjustment configuration information to the vehicle machine until all the cloud seat adjustment configuration information of all the set positions bound by the target user is issued.
8. An adaptive adjusting device for an automobile seat is characterized by comprising:
the seat pose acquisition module is used for acquiring current seat adjustment configuration information of the vehicle seat;
the identity recognition module is used for carrying out identity recognition on a target user positioned in the seat to be adjusted and matching an identity recognition result with user registration information to obtain a matching result, wherein the user registration information comprises user identity information and seat adjustment configuration information which are stored in a cloud end;
the seat adjusting module is used for obtaining seat adjusting configuration information of a target user through a cloud end, comparing the current seat adjusting configuration information with the cloud seat adjusting configuration information, and if the current seat adjusting configuration information is not consistent with the cloud seat adjusting configuration information, controlling the seat to execute automatic seat adjustment according to the cloud seat adjusting configuration information.
9. An electronic device, comprising:
one or more processors;
a memory for storing one or more programs that, when executed by the one or more processors, cause the electronic device to implement the car seat adaptation method of any of claims 1 to 7.
10. A storage medium, characterized by: computer readable instructions stored thereon, which, when executed by a processor of a computer, cause the computer to perform the car seat adaptation method according to any one of claims 1 to 7.
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| CN202210614732.4A CN114919471A (en) | 2022-05-30 | 2022-05-30 | Self-adaptive adjusting method and device for automobile seat, electronic equipment and storage medium |
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Application publication date: 20220819 |