CN112163921A - Shared automobile seat adjusting method and device and electronic equipment - Google Patents
Shared automobile seat adjusting method and device and electronic equipment Download PDFInfo
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Abstract
The embodiment of the specification discloses a shared automobile seat adjusting method, a shared automobile seat adjusting device and electronic equipment.
Description
Technical Field
The embodiment of the specification relates to the technical field of vehicles, in particular to a shared automobile seat adjusting method and device and electronic equipment.
Background
With the advent of the 5G communication era, the interconnection of everything becomes possible, and the communication technology of "end, tube and cloud" will be faster and more reliable under the support of the new generation of 5G technology, so that some business models based on the communication mode will certainly be developed rapidly. Shared cars are a typical representation of this business model. At present, automobile sharing economy of a certain scale has appeared in China, but the automobile sharing economy is still in the initial stage, and in the aspect of automobile using experience of users, great space is further promoted in the follow-up process. How to make the shared automobile feel customized by users is also in need of improvement in many aspects. The shared automobile has to face different users, and the user body types are different, so that the settings such as the automobile seat need to be adjusted every time, and how to quickly and conveniently perform personalized setting on the shared automobile becomes a problem which needs to be solved urgently. At present, the personalized setting of the shared automobile must be manually adjusted on the automobile by a user, and the user needs to readjust the personalized setting once when replacing the shared automobile once, so that great inconvenience is caused to the user.
Disclosure of Invention
The embodiment of the specification provides a shared automobile seat adjusting method and device and electronic equipment, which can be used for realizing automatic adjustment of a shared automobile seat individually, simplifying user operation and improving vehicle using efficiency of a user.
In a first aspect, an embodiment of the present specification provides a shared automobile seat adjustment method, including: acquiring characteristic information input by a user, wherein the characteristic information comprises a height value and gender information of the user; determining the percentage value of the height of the user according to the height value and the gender information; determining a value of a seat parameter of the user by performing a personalized parameter determination step, comprising: determining the stature grade of the user according to the percentile value of the height of the user, and determining a seat parameter value corresponding to the stature grade of the user according to the stature grade of the user and a preset seat comfort parameter range; and adjusting the seat parameters of the vehicle subscribed by the user according to the seat parameter values.
Further, after the adjusting the seat parameter of the vehicle subscribed by the user according to the seat parameter value, the method further includes: and when the situation that the user returns the reserved shared automobile is detected, adjusting the seat parameters of the shared automobile according to the seat parameter values of the user and the preset initial seat parameter values, so that the seat parameters of the shared automobile are restored to factory settings.
Further, the determining the percentile value of the height of the user according to the height value and the gender information includes: matching the height value and the gender information with a pre-stored body measurement database to determine the percentile value corresponding to the height of the user in the crowd with the corresponding gender, wherein the body measurement database comprises: and (4) corresponding relation information of the height and the percentile value under different sexes.
Further, the determining the stature grade of the user according to the percentile value of the height of the user comprises: respectively obtaining difference values between a percentile value of the height of the user and more than two preset percentile threshold values, wherein each percentile threshold value corresponds to one figure grade; and determining the stature grade corresponding to the percentile threshold value with the minimum difference value as the stature grade of the user.
Further, the determining, according to the stature grade of the user and a preset seat comfort parameter range, a seat parameter value corresponding to the stature grade of the user includes: if the user is determined to belong to a first target group according to the stature grade of the user, determining a lower limit value of the seat comfort parameter range as a seat parameter value corresponding to the stature grade of the user; if the user is determined to belong to a second target group according to the stature grade of the user, determining a middle value of the seat comfort parameter range as a seat parameter value corresponding to the stature grade of the user; and if the user is determined to belong to a third target group according to the stature grade of the user, determining the upper limit value of the seat comfort parameter range as a seat parameter value corresponding to the stature grade of the user. Wherein the height of the first target crowd is smaller than the height of the second target crowd, and the height of the second target crowd is smaller than the height of the third target crowd.
Further, the characteristic information further includes a weight value input by a user, and the determining the seat parameter value of the user by executing the personalized parameter determining step further includes: determining the weight value input by the user from the characteristic information as a first weight value; acquiring a weight value corresponding to the percentage value of the height of the user as a second weight value; obtaining a seat height correction according to the first body weight value, the second body weight value and the elastic deformation coefficient of the shared automobile seat; and correcting the seat height value in the seat parameter values according to the seat height correction amount.
Further, the determining the seat parameter value of the user by performing the personalized parameter determining step further comprises: determining the current season of the user according to the reserved vehicle using time of the user; and determining a seat parameter correction amount corresponding to the current season of the user, and correcting the seat parameter value according to the seat parameter correction amount.
Further, after determining the percentile value of the height of the user, the method further comprises: in response to a user-triggered adaptive adjustment instruction, performing an adaptive parameter determination step to determine a value of a seat parameter of the user, wherein the adaptive parameter determination step comprises: matching the percentage value of the height of the user with each height percentage threshold value in a preset model, determining a target group to which the user belongs, and taking a target seat parameter value corresponding to the target group as a seat parameter value of the user, wherein the preset model is obtained by carrying out self-adaptive learning on the seat parameter values of a plurality of sample users in advance, and the preset model comprises: and the corresponding relation among the height percentile threshold value, the target crowd and the target seat parameter value.
In a second aspect, embodiments of the present specification provide a shared vehicle seat adjustment apparatus, including: the characteristic acquisition module is used for acquiring characteristic information input by a user, wherein the characteristic information comprises height value and gender information of the user; the percentile value determining module is used for determining the percentile value of the height of the user according to the height value and the gender information; a seat parameter determination module for determining a value of a seat parameter of the user by performing a personalized parameter determination step, comprising: determining the stature grade of the user according to the percentile value of the height of the user, and determining a seat parameter value corresponding to the stature grade of the user according to the stature grade of the user and a preset seat comfort parameter range; and the seat adjusting module is used for adjusting the seat parameters of the vehicle reserved by the user according to the seat parameter values.
In a third aspect, an embodiment of the present specification provides an electronic device, including: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the shared car seat adjustment method provided in the first aspect when executing the program.
In an embodiment of the present specification, a method, an apparatus, and an electronic device for adjusting a shared car seat determine a percentile value of a height of a user by obtaining a height value and gender information input by the user, and then determine a seat parameter value of the user by performing an individualized parameter determination step, where the method specifically includes: determining the stature grade of the user according to the percentile value of the height of the user, determining a seat parameter value corresponding to the stature grade of the user according to the stature grade of the user and a preset seat comfort parameter range, and then adjusting the seat parameter of the vehicle reserved by the user according to the seat parameter value. Therefore, before the user uses the vehicle, the seat can be remotely and automatically adjusted to a comfortable position for the user, the adjustment time of the user to the shared vehicle seat is reduced or eliminated, the user operation is simplified, and the vehicle using efficiency and the vehicle using experience of the user are improved.
Drawings
FIG. 1 is a schematic diagram of an operating environment provided by embodiments of the present disclosure;
FIG. 2 is a flow chart illustrating a method for sharing vehicle seat adjustment provided in a first aspect of an embodiment of the present disclosure;
FIG. 3 is a schematic view of a driving posture provided by a first aspect of an embodiment of the present disclosure;
FIG. 4 is a block diagram of a shared vehicle seat adjustment apparatus provided in a second aspect of an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of an electronic device provided in a third aspect of an embodiment of the present specification.
Detailed Description
In order to better understand the technical solutions provided by the embodiments of the present specification, the technical solutions of the embodiments of the present specification are described in detail below with reference to the drawings and specific embodiments, and it should be understood that the specific features in the embodiments and examples of the present specification are detailed descriptions of the technical solutions of the embodiments of the present specification, and are not limitations on the technical solutions of the embodiments of the present specification, and the technical features in the embodiments and examples of the present specification may be combined with each other without conflict.
In this document, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element. The term "two or more" includes the case of two or more.
Fig. 1 is a schematic diagram illustrating an operating environment to which a shared vehicle seat adjustment method provided by an embodiment of the present disclosure is adapted. As shown in fig. 1, one or more user terminals 100 (only one shown in fig. 1) may be connected to one or more servers 200 (only one shown in fig. 1) through a network for data communication or interaction. The server 200 may be connected to a plurality of shared vehicles 300 (only one shown in fig. 1) over a network for data communication or interaction. The user terminal 100 may be a Personal Computer (PC), a notebook computer, a tablet computer, a smart phone, an electronic reader, a vehicle-mounted device, a network television, a wearable device, or other intelligent devices with network functions.
In the embodiment of the present disclosure, the user terminal 100 is installed with a client, such as a third-party application or a browser, corresponding to a Server (Server) end, and provides a shared automobile reservation service and a seat adjustment service for a user. The user can input own characteristic information such as height, sex, weight and the like through the client and send a shared automobile reservation request to the automobile reservation server. The method comprises the steps that after a server receives a shared automobile reservation request sent by a client, a shared automobile is distributed for a user, after information of successful reservation is fed back, the client sends characteristic information input by the user to a seat adjustment server, and through the shared automobile seat adjustment method provided by the embodiment of the specification, the seat parameter value of the user is determined, so that a control instruction is sent to the corresponding shared automobile based on the seat parameter value, a vehicle seat controller is set, a seat adjustment system is driven, and the height and the front and rear positions of the seat are adjusted to the corresponding positions. Therefore, the shared automobile seat can be automatically adjusted in a personalized manner, the user operation is simplified, and the automobile using efficiency of the user is improved. It should be noted that the vehicle reservation server and the seat adjustment server may be the same server or different servers, and are not limited herein.
In a first aspect, fig. 2 shows a flowchart of a shared vehicle seat adjustment method provided in an embodiment of the present specification. Referring to fig. 2, the method may include at least the following steps S201 to S204.
Step S201, acquiring characteristic information input by a user, wherein the characteristic information comprises height value and gender information of the user.
In an actual application scenario, a user may register an account at a client and log in an application program. Furthermore, the client can input information such as vehicle using time, location, height of the user, weight of the user, sex of the user and the like according to the interface instruction, and reserve the shared vehicle.
After the vehicle is successfully reserved, the client can transmit the characteristic information input by the user to the cloud server through the network. In an alternative embodiment, the characteristic information may include a height value and gender information of the user.
Step S202, determining the percentage value of the height of the user according to the height value and the gender information of the user.
The cloud server stores a human body measurement database in a preset area such as China. Specifically, a certain percentile value P can be calculated from equation (1)xThe corresponding height range.
In the formula (I), the compound is shown in the specification,
is the height value of any percentile;
measuring an average value for the height of the persons in the preset area; σ is the standard deviation (e.g., for Chinese population, the height mean and standard deviation are definite values); k is the conversion coefficient. When the percentage value between 1 percent and 50 percent is calculated, the mark in the formula (1) is taken as minus, and when the percentage value between 50 percent and 99 percent is calculated, the mark in the formula (1) is taken as plus. E.g. percentile P in the systemxAnd the corresponding conversion factor K may be as shown in table 1.
Table 1: percentile and corresponding conversion coefficient
| Dial indicator | Conversion coefficient | Dial indicator | Conversion coefficient | Dial indicator | Conversion coefficient | Dial indicator | Conversion coefficient |
| 0.5 | 2.576 | 20 | 0.842 | 70 | 0.524 | 97.5 | 1.96 |
| 1.0 | 2.326 | 25 | 0.647 | 75 | 0.674 | 98 | 2.05 |
| 2.5 | 1.960 | 30 | 0.524 | 80 | 0.842 | 99 | 2.326 |
| 5 | 1.645 | 40 | 0.25 | 85 | 1.036 | 99.5 | 2.576 |
| 10 | 1.282 | 50 | 0.00 | 90 | 1.282 | ||
| 15 | 1.036 | 60 | 0.25 | 95 | 1.645 |
It will be appreciated that the height percentile value of a user is PxIs shown as having Px% height of human bodyLess than the user's height, is (1-P)x%) is larger than the user. And after height values corresponding to preset percentage values under different sexes are obtained, the height values can be stored in a human body measurement database. The selection of the sampling point of the percentile value can be set according to actual needs. For example, the height range and the weight corresponding to the typical percentage value of Chinese human body are shown in Table 2.
Table 2: major size of human body
On the basis, the process of determining the percentile value of the height of the user according to the height value and the gender information of the user may include: matching the height value and the gender information of the user with a pre-stored human body measurement database, and determining the percentile value corresponding to the height of the user in the crowd with the corresponding gender, wherein the human body measurement database comprises: and (4) corresponding relation information of the height and the percentile value under different sexes.
That is to say, after the height value of the user is transmitted to the cloud server from the client via the network, the cloud server may compare the height value of the user with a height data range corresponding to the height percentage value of the human body stored in the human body measurement database under the corresponding gender according to the gender of the user, so as to obtain the height percentage value of the user. For example, according to table 2, the sampling points and the corresponding relationship of the percentile values are shown, if the user is a male, and the height value is 1700mm, since 1700mm is greater than the height value (1678mm) corresponding to the percentile 50 and is less than the height value (1754mm) corresponding to the percentile 90, the percentile value of the height of the user is 50.
Of course, in other embodiments of this specification, the above-mentioned human body measurement database may be set in different areas, and in this case, the characteristic information of the user may further include an area where the user is located. After the corresponding body measurement database of the area is selected according to the area where the user is located, the body measurement database is matched with the corresponding body measurement database according to the height value and the gender information of the user, and the percentile value corresponding to the height of the user in the crowd with the corresponding gender is determined.
In an alternative embodiment, after the step S202 is performed, the seat parameter value of the user may be determined by performing the personalized parameter determining step. In one embodiment, the personalization parameter determining step may include the following step S203.
Step S203, determining the stature grade of the user according to the percentile value of the height of the user, and determining a seat parameter value corresponding to the stature grade of the user according to the stature grade of the user and a preset seat comfort parameter range.
In this embodiment, more than two stature grades can be set in advance according to needs, and the percentile threshold corresponding to each stature grade is determined. The higher the stature grade is, the higher the height is represented, and the larger the corresponding percentile threshold value is. On the basis, the stature grade of the user can be determined by comparing the percentile value of the height of the user with each percentile threshold value.
As an implementation manner, the difference values between the percentile value where the height of the user is located and the preset two or more percentile threshold values may be respectively obtained, and the stature grade corresponding to the percentile threshold value with the smallest difference value is determined as the stature grade of the user. It can be understood that the percentile threshold with the minimum difference value is the closest percentile threshold of the height of the user, so that the stature grade of the user can be considered to belong to the stature grade corresponding to the percentile threshold.
Specifically, the calculation mode of the difference value can be set according to actual needs. In this embodiment, the difference value may be an absolute value of the difference value. Of course, in other embodiments of the present disclosure, the difference value may be calculated in other manners, for example, the absolute value of the difference value may be divided by the percentile value of the height of the user, and the obtained percentage value is used as the difference value.
For example, three stature grades are preset, from low to high, respectively a first stature grade, a second stature grade and a third stature grade, and the corresponding percentile threshold values are 5, 50 and 95 in sequence. At this time, it is necessary toRespectively calculating the percentage value P of the height of the userxValues different from 5, 50 and 95. Taking the absolute value of the difference as an example, the percentile value P of the height of the userxThe difference value delta P from the three percentile threshold values1、ΔP2And Δ P3Are respectively | Px-5|、|Px-50| and | Px-95 |. If Δ P1At a minimum, the user's profile level belongs to the first profile level, if Δ P2At a minimum, the user's stature class belongs to the second stature class if Δ P3And if the size is minimum, the size grade of the user belongs to a third size grade. It should be noted that in other embodiments of this specification, more or fewer stature level gears than the above example may be set, for example, the stature levels of five gears may also be set, and from low to high, the corresponding percentile threshold values may be 5, 30, 50, 70, and 95 in sequence.
It should be further noted that different stature grades correspond to people groups with different stature attributes, and the higher the stature grade is, the higher the sub-group of the corresponding people group is. For example, in the above example, percentile threshold 5 may represent a small sub-population, percentile threshold 50 may represent a medium sub-population, and percentile threshold 95 may represent a high sub-population.
Further, the seat parameter value corresponding to the stature grade of the user can be determined according to the stature grade of the user and the preset seat comfort parameter range. The cloud server stores the seat comfort parameter range of the shared automobile in advance. That is, the vehicle seat is within the comfort parameter range and the driver may be in a relatively comfortable state.
Fig. 3 shows a schematic view of the driving posture of the user, and in fig. 3, the letter a indicates the angle between the steering column axis of the steering wheel and the horizontal plane, and the reference range is: 23 to 26 degrees; the letter B indicates the steering wheel diameter, with reference ranges: phi 370-390; letter C indicates the vertical distance of the upper edge of the steering wheel from the lowest position of the ellipse of the driver's eye, and the reference range is: 30-40 mm; letter D indicates the angle between the driver's calf and thigh, the reference range being: 95 degrees to 135 degrees; the letter E indicates the distance of the driver's thigh axis from the steering wheel, with reference to the range: 70-85 mm; the letter F indicates the distance of the steering wheel from the axis of the driver's trunk, with reference to the range: 385-395 mm; letter H denotes the driver's torso angle, the reference range being: 20 degrees to 30 degrees; letter I indicates the vertical distance of the center of the steering wheel from the hip joint of the driver, with reference to the range: 360-380 mm; letter J indicates the vertical distance of the driver's hip joint from the reference ground, and the reference range is: 260-320 mm; letter K indicates the angle between the driver's sole and the lower leg, and the reference range is: 85-110 degrees; letter L indicates the distance of the center of the steering wheel from the horizontal reference line of the vehicle body, and the reference range is: 490-550 mm; the letter M indicates the horizontal distance of the center of the steering wheel from the hip joint of the driver, and the reference range is: 400-420 mm; letter N indicates the distance of the driver's hip joint from the horizontal reference line of the body, the reference range being: 890-970 mm.
Specifically, the comfort parameters may include parameters represented by letters a to N in fig. 3. There are upper, lower and intermediate values for the seat comfort parameter range, for example, the lower limit of the seat distance N is 890mm, the upper limit of the seat is 970mm and the intermediate value is 930 mm.
In one embodiment, the stature grade of the user is divided into three grades, so that the user corresponds to crowds with three different stature attributes, the corresponding crowds are a first target crowd, a second target crowd and a third target crowd respectively according to the stature grade from low to high, the height of the first target crowd is smaller than that of the second target crowd, and the height of the second target crowd is smaller than that of the third target crowd. At this time, the process of determining the seat parameter value corresponding to the user's stature grade according to the user's stature grade and the preset seat comfort parameter range may include:
and if the user is determined to belong to the first target group according to the stature grade of the user, determining the lower limit value of the seat comfort parameter range as a seat parameter value corresponding to the stature grade of the user.
And if the user is determined to belong to the second target group according to the stature grade of the user, determining the middle value of the seat comfort parameter range as a seat parameter value corresponding to the stature grade of the user.
And if the user is determined to belong to the third target group according to the stature grade of the user, determining the upper limit value of the seat comfort parameter range as the seat parameter value corresponding to the stature grade of the user.
For convenience of understanding, the first target group may be defined as a small sub-group, the second target group may be defined as a medium sub-group, and the third target group may be defined as a high sub-group.
For example, the seat parameters to be adjusted by the method may include the seat height J and the seat distance N among the comfort parameters. At this time, when the cloud server judges that the user belongs to a small group of people according to the stature grade of the user, the lower limit values in the preset reference range (shown in fig. 3) are selected according to the seat height J and the seat distance N in the comfort parameters, namely J is 260mm, and N is 890 mm; when the user is judged to belong to the middle crowd, selecting the middle value of a preset reference range according to the seat height J and the seat distance N in the comfort parameter, namely, taking J as 290mm and taking N as 930 mm; when the user is judged to belong to the high sub-population, the seat height J and the seat distance N in the comfort parameter are selected from the upper limit values in the preset reference range, namely J is 320mm, and N is 970 mm.
Of course, in other embodiments of the present disclosure, the seat parameter value corresponding to the stature grade of the user may be determined in other manners. For example, the user's stature can be classified into n levels, and a corresponding growth coefficient ξ is set for each leveli，ξiIs a value greater than or equal to 0 and less than or equal to 1, and the sum of the growth coefficients corresponding to all stature grades is 1. Assume that the lower limit value in the preset reference range isLower partPresetting an upper limit value in a reference rangeOn the upper partWhen the user belongs to the ith personal size grade, the corresponding seat parameter values are as follows:lower part+(On the upper part-Lower part)*ξi。ξiAccording to the pre-divided user stature grade number and multiple test settings, if the seat parameters needing to be adjusted comprise more than two parameters, such as two parameters including seat height J and seat distance N, xi needs to be set for each parameter respectivelyiThen respectively according toThe above formula yields the corresponding parameter values.
It should be noted that in other embodiments of the present disclosure, the seat parameters to be adjusted may include other adjustable seat parameters besides the seat height J and the seat distance N in the comfort parameters. For example, the distance F between the steering wheel and the trunk axis of the driver may be adjusted by adjusting the backrest tilt angle, for example, parameters such as the length of the upper body inputted by the user, the height in the shared automobile successfully reserved, the distance between the center of the steering wheel and the roof, and the seat height J obtained in the above process may be obtained, and the backrest tilt angle corresponding to the user, that is, the trunk angle of the driver may be determined.
And step S204, adjusting the seat parameters of the vehicle reserved by the user according to the seat parameter values.
After determining the seat parameter values of the user, the values of the seat parameter values, such as the seat height J and the seat distance N, matching the height characteristics of the user can be transmitted to the on-board controller of the predetermined vehicle through the network. When the shared automobile is in a non-driving state, the vehicle-mounted controller drives the seat adjusting system by setting the vehicle seat controller, so that the height and the front and rear positions of the seat are adjusted to corresponding positions, and the remote and automatic adjustment of the parameters of the vehicle seat is realized.
The shared automobile seat adjusting method provided by the embodiment of the specification is based on a two-layer adjusting and controlling mode and carries out personalized adjusting and controlling on the seat. The first layer of regulation and control is based on the principle of human-machine engineering, and the height percentile value of the user is obtained through the height and the gender of the user, so that the stature grade of the user is determined; the second layer of regulation and control is to calculate the individual seat parameters of the user according to the stature grade of the user and the standard seat comfort parameter range. Compared with direct regulation, the two-layer regulation method greatly reduces the calculated amount, improves the speed of determining the adjustment parameters and optimizes the user experience. Meanwhile, the seat can be remotely and automatically adjusted to a comfortable position for the user before the user uses the vehicle, so that the adjustment time of the user on the shared vehicle seat is reduced or eliminated, the user operation is simplified, and the vehicle using efficiency and the vehicle using experience of the user are improved.
In an optional embodiment, in order to further reduce or eliminate the adjustment time of the shared vehicle seat by the user and improve the vehicle-using efficiency and the vehicle-using experience of the user, after determining the seat parameter value of the user and before performing step S204, the shared vehicle seat adjustment method provided in the embodiments of the present specification may further include a seat parameter correction step for optimizing the determined seat parameter value to improve the accuracy of the seat parameter value, which is beneficial to more accurately adjust the seat to the comfortable position for the user.
As an alternative embodiment, the characteristic information obtained in step S201 may further include a weight value input by the user, and the seat parameters to be adjusted include a seat height J and a seat distance N. In this case, the seat parameter correcting step may include: determining a weight value input by a user from the characteristic information as a first weight value; acquiring a weight value corresponding to the percentage value of the height of the user as a second weight value; obtaining a seat height correction according to the first body weight value, the second body weight value and the elastic deformation coefficient of the shared automobile seat; and correcting the seat height value in the seat parameter values according to the seat height correction amount. The correction mode takes the actual weight of the user into consideration, so that the corrected seat parameters are more suitable for the stature of the user and meet the personalized requirements of the user.
Because the seat height value J calculated by the cloud server is based on the standard weight of the percentile height crowd, the seat height can be corrected according to the actual weight value of the user in practical application. In this embodiment, the seat height correction amount may be obtained according to the difference between the first body weight value and the second body weight value and the elastic deformation coefficient of the shared car seat. As an embodiment, the seat height correction amount may be determined according to equation (2).
ΔJ＝s×(Wy-Wp) (2)
In the formula (2), Δ J is a seat height correction amount; s is the elastic deformation coefficient of the seat foam cushion; wyA weight value entered for the user; wpThe body weight corresponding to the height percentage value of the userAmount (as shown in table 2).
It is understood that the corrected seat height value is Δ J increased (Δ J is greater than zero) or decreased (Δ J is less than zero) on the previously determined seat height J (as determined in step S203), and the increased or decreased result is taken as the corrected seat height value.
As another optional embodiment, the feature information obtained in step S201 may further include a car usage time reserved by the user. The seat parameter correcting step may further include: the seasonal adaptive parameter correction process specifically comprises the following steps: determining the current season of the user according to the reserved vehicle using time of the user; and determining the seat parameter correction amount corresponding to the current season of the user, and correcting the seat parameter value according to the seat parameter correction amount. The seat parameter correction amount corresponding to each season can be configured in advance according to an actual application scene and multiple tests. Considering the influence of the parameter values of the thick and thin seats worn by the user along with the seasonal change, the corrected seat parameters are more humanized, the user feels more comfortable, and the user experience is improved.
Taking the seat parameters to be adjusted as the seat height J and the seat distance N as examples, the cloud server has a time system, can judge the season according to the vehicle using time reserved by the client, and can adaptively correct the determined seat parameter values so as to better meet the individual requirements of users wearing clothes with different thicknesses in different seasons. Since ergonomic parameters are obtained in a naked state, the resulting seat comfort data should be modified according to the thickness of the garment. For example, in summer, clothes are light and thin, and ergonomic data can be directly adopted; for winter, when a user wears heavy clothes, the sitting posture height needs to be increased by 50mm on the basis of ergonomic data, namely on the basis of the determined seat parameter values, namely the seat height J is reduced by 50mm, the chest thickness data is increased by 75mm, namely the seat distance N is increased by 75 mm.
It should be noted that the two seat parameter modification methods can be used alone or in combination according to needs, and are not limited herein.
In an alternative embodiment, the shared vehicle seat adjustment method provided in the embodiments of the present specification may further include: and (5) initializing. At this time, after the seat parameter of the vehicle subscribed by the user is adjusted according to the seat parameter value, an initialization step may be further performed, which specifically includes: and when the user is detected to return the reserved shared automobile, adjusting the seat parameters of the shared automobile according to the seat parameter values of the user and the preset initial seat parameter values, so that the seat parameters of the shared automobile are restored to factory settings.
When the user uses the vehicle and the vehicle is locked, the client judges that the user returns the vehicle, and the cloud server stores the personalized seat parameter value of the user. Then, each seat parameter of the vehicle can be restored to factory settings, and when the next user uses the vehicle, the system performs personalized seat parameter adjustment on the next user based on preset initial seat parameter values, namely factory parameters, so that the calculation amount can be greatly reduced.
In addition, in an alternative embodiment, in addition to the step S203, namely the personalized parameter determining step, for determining the seat parameter value, an adaptive parameter determining step may be used instead to determine the seat parameter value. The user can execute corresponding triggering operation according to the requirement, select an execution instruction for triggering any one of the two steps, and execute a corresponding seat parameter value determination process.
Therefore, after the step S202 is executed, that is, after the percentile value of the height of the user is determined, if it is detected that the user triggers an adaptive adjustment instruction, the adaptive adjustment instruction is used to trigger the step of determining the adaptive parameters, the method for adjusting the shared automobile seat provided in the embodiment of the present specification may further include: in response to an adaptive adjustment instruction triggered by a user, executing an adaptive parameter determination step to determine a seat parameter value of the user, wherein the adaptive parameter determination step comprises the following steps:
match the percentile value that user's height is located with each height percentile threshold value in presetting the model, confirm the target crowd that the user belongs to, with the target seat parameter value that the target crowd corresponds, as user's seat parameter value, wherein, it obtains through carrying out the self-adaptation study to a plurality of sample user's seat parameter value in advance to preset the model, includes: and the corresponding relation among the height percentile threshold value, the target crowd and the target seat parameter value.
It can be understood that, in the historical seat adjustment data of the shared automobile, for the same user, fine adjustment may be performed on the basis of a seat parameter value automatically adjusted by the system each time the automobile is used, the automobile may send the actual seat parameter value after the fine adjustment by the user to the cloud server, the cloud server may perform statistics and analysis on the historical actual seat parameter value of the user, obtain an average value of actual values of the seat parameter value, such as the seat height J and the seat distance N, of the user in the latest preset times, such as the latest 5 times of use of the automobile, and use the average value as the personalized seat parameter value of the user, as a priority setting parameter for subsequent use of the user.
Further, for different users, through continuous adaptive learning, for example, through clustering or interval division, height percentile values of all historical users are divided into more than two gears, and corresponding height percentile thresholds are configured, for example, gears corresponding to five percentile thresholds of 5, 30, 50, 70, and 95 may be set. The cloud server can classify the users with the same gear of the height percentile value into a target group by counting the height percentile values of the historical users, so as to obtain the target group corresponding to each height percentile threshold value. And aiming at each target population, acquiring the individual seat parameter value of each user in the target population, and calculating the average value of the individual seat parameter values as the target seat parameter value of the target population. Therefore, the target seat parameter value of each target group can be obtained, so that the corresponding relation among the height percentile threshold value, the target group and the target seat parameter value is constructed, and the preset model is generated.
Furthermore, the percentage value of the height of the user obtained in step S202 may be compared with each height percentage threshold value in the preset model. And the target crowd corresponding to the height percentile threshold value closest to the height percentile value of the user is the target crowd to which the user belongs, so that the target seat parameter value corresponding to the target crowd is used as the seat parameter value of the user.
Through a system self-adaptive learning mode, the seat parameter value of the user can be determined by combining the seat adjustment requirements of the users of the same type similar to the statures of the users, the seat parameter value meeting the user requirements can be obtained quickly, and the vehicle using efficiency and vehicle using experience of the users are improved. And moreover, richer seat parameter value determination modes are provided for the user, and the user can select a desired mode according to needs.
In a second aspect, based on the same inventive concept as the shared automobile seat adjusting method provided in the foregoing first aspect, embodiments of the present specification further provide a shared automobile seat adjusting apparatus. As shown in fig. 4, the seat adjusting apparatus 40 includes:
the characteristic obtaining module 41 is configured to obtain characteristic information input by a user, where the characteristic information includes a height value and gender information of the user;
the percentage value determining module 42 is used for determining the percentage value of the height of the user according to the height value and the gender information;
a seat parameter determination module 43 for determining a seat parameter value of the user by performing a personalized parameter determination step, comprising: determining the stature grade of the user according to the percentile value of the height of the user, and determining a seat parameter value corresponding to the stature grade of the user according to the stature grade of the user and a preset seat comfort parameter range;
and the seat adjusting module 44 is used for adjusting the seat parameters of the vehicle subscribed by the user according to the seat parameter values.
In an alternative embodiment, the seat adjusting device 40 further comprises: and an initialization module 45, configured to, after it is detected that the user returns the reserved shared automobile, adjust the seat parameter of the shared automobile according to the seat parameter value of the user and a preset initial seat parameter value, so that the seat parameter of the shared automobile is restored to a factory setting.
In an alternative embodiment, the percentile value determination module 42 is configured to: matching the height value and the gender information with a pre-stored body measurement database to determine the percentile value corresponding to the height of the user in the crowd with the corresponding gender, wherein the body measurement database comprises: and (4) corresponding relation information of the height and the percentile value under different sexes.
In an alternative embodiment, the seat parameter determination module 43 is configured to: respectively obtaining difference values between a percentile value of the height of the user and more than two preset percentile threshold values, wherein each percentile threshold value corresponds to one figure grade; and determining the stature grade corresponding to the percentile threshold value with the minimum difference value as the stature grade of the user.
In an alternative embodiment, the seat parameter determination module 43 is configured to:
if the user is determined to belong to a first target group according to the stature grade of the user, determining a lower limit value of the seat comfort parameter range as a seat parameter value corresponding to the stature grade of the user;
if the user is determined to belong to a second target group according to the stature grade of the user, determining a middle value of the seat comfort parameter range as a seat parameter value corresponding to the stature grade of the user;
if the user is determined to belong to a third target group according to the stature grade of the user, determining an upper limit value of the seat comfort parameter range as a seat parameter value corresponding to the stature grade of the user;
wherein the height of the first target crowd is smaller than the height of the second target crowd, and the height of the second target crowd is smaller than the height of the third target crowd.
In an alternative embodiment, the characteristic information further includes a weight value input by a user, and the seat parameter determining module 43 is further configured to: determining the weight value input by the user from the characteristic information as a first weight value; acquiring a weight value corresponding to the percentage value of the height of the user as a second weight value; obtaining a seat height correction according to the first body weight value, the second body weight value and the elastic deformation coefficient of the shared automobile seat;
and correcting the seat height value in the seat parameter values according to the seat height correction amount.
In an alternative embodiment, the seat parameter determination module 43 is further configured to: determining the current season of the user according to the reserved vehicle using time of the user; and determining a seat parameter correction amount corresponding to the current season of the user, and correcting the seat parameter value according to the seat parameter correction amount.
In an alternative embodiment, the seat parameter determination module 43 is further configured to: and in response to an adaptive adjustment instruction triggered by a user, executing an adaptive parameter determination step to determine a seat parameter value of the user. Wherein the adaptive parameter determining step includes: matching the percentage value of the height of the user with each height percentage threshold value in a preset model, determining a target group to which the user belongs, and taking a target seat parameter value corresponding to the target group as a seat parameter value of the user, wherein the preset model is obtained by carrying out self-adaptive learning on the seat parameter values of a plurality of sample users in advance, and the preset model comprises: and the corresponding relation among the height percentile threshold value, the target crowd and the target seat parameter value.
It should be noted that, the shared vehicle seat adjusting apparatus provided in the embodiments of the present specification, wherein specific ways in which the respective modules perform operations have been described in detail in the method embodiments provided in the first aspect, and specific implementation processes may refer to the method embodiments provided in the first aspect, and will not be described in detail here.
In a third aspect, based on the same inventive concept as the shared car seat adjustment method provided in the foregoing embodiment, an embodiment of the present specification further provides an electronic device, which may be a server, for example. As shown in fig. 5, the electronic device comprises a memory 504, one or more processors 502 and a computer program stored on the memory 504 and executable on the processors 502, the processor 502 when executing the program implementing the steps of any of the embodiments of the shared car seat adjustment method as provided in the first aspect.
Where in fig. 5 a bus architecture (represented by bus 500) is shown, bus 500 may include any number of interconnected buses and bridges, and bus 500 links together various circuits including one or more processors, represented by processor 502, and memory, represented by memory 504. The bus 500 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 505 provides an interface between the bus 500 and the receiver 501 and transmitter 503. The receiver 501 and the transmitter 503 may be the same element, i.e. a transceiver, providing a means for communicating with various other apparatus over a transmission medium. The processor 502 is responsible for managing the bus 500 and general processing, and the memory 504 may be used for storing data used by the processor 502 in performing operations.
It is to be understood that the structure shown in fig. 5 is merely an illustration, and that the electronic device provided by the embodiments of the present description may further include more or less components than those shown in fig. 5, or have a different configuration than that shown in fig. 5. The components shown in fig. 5 may be implemented in hardware, software, or a combination thereof.
In a fourth aspect, based on the same inventive concept as the shared vehicle seat adjustment method provided in the foregoing embodiments, embodiments of the present specification further provide a computer-readable storage medium on which a computer program is stored, which when executed by a processor, implements the steps of any of the embodiments of the shared vehicle seat adjustment method provided in the foregoing first aspect.
The description has been presented with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the description. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present specification have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all changes and modifications that fall within the scope of the specification.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present specification without departing from the spirit and scope of the specification. Thus, if such modifications and variations of the present specification fall within the scope of the claims of the present specification and their equivalents, the specification is intended to include such modifications and variations.
Claims (10)
1. A shared vehicle seat adjustment method, comprising:
acquiring characteristic information input by a user, wherein the characteristic information comprises a height value and gender information of the user;
determining the percentage value of the height of the user according to the height value and the gender information;
determining a value of a seat parameter of the user by performing a personalized parameter determination step, comprising: determining the stature grade of the user according to the percentile value of the height of the user, and determining a seat parameter value corresponding to the stature grade of the user according to the stature grade of the user and a preset seat comfort parameter range;
and adjusting the seat parameters of the vehicle subscribed by the user according to the seat parameter values.
2. The method of claim 1, wherein after adjusting the seat parameter of the user-ordered vehicle according to the seat parameter value, further comprising:
and when the situation that the user returns the reserved shared automobile is detected, adjusting the seat parameters of the shared automobile according to the seat parameter values of the user and the preset initial seat parameter values, so that the seat parameters of the shared automobile are restored to factory settings.
3. The method of claim 1, wherein determining the percentile value of the height of the user according to the height value and the gender information comprises:
matching the height value and the gender information with a pre-stored body measurement database to determine the percentile value corresponding to the height of the user in the crowd with the corresponding gender, wherein the body measurement database comprises: and (4) corresponding relation information of the height and the percentile value under different sexes.
4. The method of claim 1, wherein determining the stature level of the user according to the percentile value of the height of the user comprises:
respectively obtaining difference values between a percentile value of the height of the user and more than two preset percentile threshold values, wherein each percentile threshold value corresponds to one figure grade;
and determining the stature grade corresponding to the percentile threshold value with the minimum difference value as the stature grade of the user.
5. The method of claim 1, wherein determining the seat parameter value corresponding to the user's stature grade according to the user's stature grade and a preset seat comfort parameter range comprises:
if the user is determined to belong to a first target group according to the stature grade of the user, determining a lower limit value of the seat comfort parameter range as a seat parameter value corresponding to the stature grade of the user;
if the user is determined to belong to a second target group according to the stature grade of the user, determining a middle value of the seat comfort parameter range as a seat parameter value corresponding to the stature grade of the user;
if the user is determined to belong to a third target group according to the stature grade of the user, determining an upper limit value of the seat comfort parameter range as a seat parameter value corresponding to the stature grade of the user;
wherein the height of the first target crowd is smaller than the height of the second target crowd, and the height of the second target crowd is smaller than the height of the third target crowd.
6. The method of claim 1, wherein the characterizing information further comprises a weight value entered by a user, wherein determining the user's seat parameter value by performing a personalized parameter determination step further comprises:
determining the weight value input by the user from the characteristic information as a first weight value;
acquiring a weight value corresponding to the percentage value of the height of the user as a second weight value;
obtaining a seat height correction according to the first body weight value, the second body weight value and the elastic deformation coefficient of the shared automobile seat;
and correcting the seat height value in the seat parameter values according to the seat height correction amount.
7. The method of claim 1, wherein determining the user's seat parameter value by performing a personalization parameter determination step further comprises:
determining the current season of the user according to the reserved vehicle using time of the user;
and determining a seat parameter correction amount corresponding to the current season of the user, and correcting the seat parameter value according to the seat parameter correction amount.
8. The method of claim 1, wherein determining the percentile value of the height of the user further comprises:
in response to a user-triggered adaptive adjustment instruction, performing an adaptive parameter determination step to determine a value of a seat parameter of the user, wherein the adaptive parameter determination step comprises:
matching the percentage value of the height of the user with each height percentage threshold value in a preset model, determining a target group to which the user belongs, and taking a target seat parameter value corresponding to the target group as a seat parameter value of the user, wherein the preset model is obtained by carrying out self-adaptive learning on the seat parameter values of a plurality of sample users in advance, and the preset model comprises: and the corresponding relation among the height percentile threshold value, the target crowd and the target seat parameter value.
9. A shared vehicle seat adjustment apparatus, comprising:
the characteristic acquisition module is used for acquiring characteristic information input by a user, wherein the characteristic information comprises height value and gender information of the user;
the percentile value determining module is used for determining the percentile value of the height of the user according to the height value and the gender information;
a seat parameter determination module for determining a value of a seat parameter of the user by performing a personalized parameter determination step, comprising: determining the stature grade of the user according to the percentile value of the height of the user, and determining a seat parameter value corresponding to the stature grade of the user according to the stature grade of the user and a preset seat comfort parameter range;
and the seat adjusting module is used for adjusting the seat parameters of the vehicle reserved by the user according to the seat parameter values.
10. An electronic device, comprising: memory, processor and computer program stored on the memory and executable on the processor, the processor implementing the steps of the method of any one of claims 1 to 8 when executing the program.
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