Automobile cockpit adjustment method

Abstract

The present invention relates to a method for adjusting a car cabin, comprising: step S1, judging whether there is someone in the car, if there is someone, executing step S2; otherwise, ending the process; step S2, acquiring characteristic information of the current user; step S3, acquiring the sitting height and sitting posture of the current user on the seat and the current seat back angle; step S4, inputting the characteristic information, the sitting height, the sitting posture and the seat back angle into a cabin adjustment model, and acquiring seat adjustment parameters and steering wheel adjustment parameters of the cabin; step S5, evaluating the comfort level and / or safety level of the cabin; step S6, judging whether the comfort level and / or the safety level are both greater than a predetermined threshold, if so, adjusting the seat and the steering wheel; otherwise, repeating steps S4-S5 or ending the process; step S7, updating the seat position information in the cabin, judging whether the seat position in the cabin has changed, if so, repeating steps S4-S6, otherwise, ending the process.

Description

Technical Field

[0001] The invention relates to the field of automobile seats, and more particularly to an automobile cabin adjustment method. Background Art

[0002] With the popularization of automotive intelligence and the development of the Internet of Things, the degree of electrification of automotive interiors is getting higher and higher, and users are also demanding higher and higher requirements for driving comfort and convenience. At present, some models on the market can automatically adjust seats according to different users. However, the existing automatic seat adjustment technology only considers the height and weight of the user, involves fewer dimensions, and does not link the seat with the steering wheel, which cannot further improve the comfort experience of users, especially drivers. In addition, the existing automatic seat adjustment technology cannot evaluate the comfort and safety of the cabin, which affects the user's driving experience. Summary of the invention

[0003] In order to solve the above-mentioned problems in the prior art, the present invention provides a method for adjusting the automobile cabin, which can adjust the seat from multiple dimensions and adjust the seat and the steering wheel in linkage, so as to further improve the user's comfort experience. At the same time, it can evaluate the comfort and safety of the cabin and enhance the user's driving experience.

[0004] The present invention provides a method for adjusting a vehicle cabin, comprising:

[0005] Step S1, detect the vehicle and determine whether there is someone in the vehicle. If there is someone, execute step S2; otherwise, end the process;

[0006] Step S2, obtaining characteristic information of the current user;

[0007] Step S3, obtaining the current user's sitting height and sitting posture on the seat and the current seat back angle;

[0008] Step S4, inputting the characteristic information, the seat height, the sitting posture and the seat back angle into a cabin adjustment model to obtain seat adjustment parameters and steering wheel adjustment parameters of the cabin;

[0009] Step S5, evaluating the comfort level and / or safety level of the cabin according to the seat adjustment parameters and the steering wheel adjustment parameters;

[0010] Step S6, determining whether the comfort level and / or the safety level are both greater than a predetermined threshold value, if so, adjusting the seat and the steering wheel according to the seat adjustment parameter and the steering wheel adjustment parameter; otherwise, repeating steps S4-S5 or ending the process;

[0011] Step S7, update the seat position information in the cockpit, and determine whether the seat position in the cockpit has changed. If so, repeat steps S4-S6, otherwise, end the process.

[0012] Furthermore, the characteristic information includes at least one of gender information, height value, age value and weight value.

[0013] Further, the seat adjustment parameters include seat rail position percentage, seat height percentage, seat back percentage and headrest position percentage.

[0014] Furthermore, the steering wheel adjustment parameters include a steering wheel axial position percentage and a steering wheel inclination percentage.

[0015] Furthermore, the evaluation model of the comfort level C is as follows:

[0016] C=F(C S ,C d ,C o ,C t ,W),

[0017] Among them, F represents the regression model based on big data after training, verification and testing of the data set, C S Indicates the static comfort level, C d Indicates the dynamic comfort level, C o Indicates the level of operating comfort, C t Indicates fatigue comfort level; W = {w 1 ,w 2 ,w 3 ,w 4},w 1 represents the weight corresponding to the static comfort level, w 2 represents the weight corresponding to the dynamic comfort level, w 3 Indicates the weight corresponding to the operating comfort level, w 4 represents the weight corresponding to the fatigue comfort level, and w 1 +w 2 +w 3 +w 4 =100%.

[0018] Furthermore, the static comfort level C S 、The dynamic comfort level is C d 、The operating comfort level is C o and the fatigue comfort level C t A scoring system is used for all tests, with scores divided into four ranges: 4-100, 3-4, 2-3, and 0-2.

[0019] Furthermore, the evaluation model of the security level S is as follows:

[0020] S=F(A,P,V,O,W'),

[0021] Where F represents the regression model based on big data after training, verification and testing, A represents the driver's side airbag collision index, P represents the headrest and whiplash test index, V represents the driving field of view index, O represents the driving control index; W' = {w' 1 ,w' 2 ,w' 3 ,w' 4}, w' 1 represents the weight corresponding to the driver's side airbag collision index, w' 2 represents the weights corresponding to the headrest and whiplash test indicators, w' 3 Represents the weight corresponding to the driving vision index, w' 4 represents the weight corresponding to the driving control index, and w' 1 +w' 2 +w' 3 +w' 4 =100%.

[0022] Furthermore, the driver side airbag collision index A, the headrest and whiplash test index P, the driving field of view index V and the driving control index O all adopt a scoring system, and the scores are divided into four intervals of 4 to 100, 3 to 4, 2 to 3 and 0 to 2.

[0023] Furthermore, in step S7, the seat position information in the cockpit is updated periodically.

[0024] The present invention not only adjusts the seat according to the user's height and weight, but also takes into account the user's gender, age, and the user's sitting height and posture on the seat. The seat is adjusted in conjunction with the steering wheel, further improving the user's comfort experience. In addition, the present invention evaluates the comfort level and safety level of the adjusted parameters, which can improve the user's comfort experience while ensuring the user's safety experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a flow chart of the vehicle cabin adjustment method according to the present invention. DETAILED DESCRIPTION

[0026] The preferred embodiments of the present invention are given below in conjunction with the accompanying drawings and described in detail.

[0027] like Figure 1As shown, the automobile cabin adjustment method of the present invention is used to adjust the seats and steering wheel after the driver and passengers enter the vehicle. The adjustable seats mainly include the main driver's cab seat, the co-driver's cab seat, and the second and third row independent seats in the commercial vehicle. The method comprises the following steps:

[0028] Step S1, detect the vehicle and determine whether there is someone in the vehicle. If there is someone, execute step S2; otherwise, end the process. The method for determining whether there is someone in the vehicle is: determine whether a human image is captured by a nearby camera device. If a human image is captured, it indicates that there is someone in the vehicle; or determine whether a valid pressure signal is collected by a pressure sensor device on the seat. If a valid pressure signal is collected, it indicates that there is someone in the vehicle.

[0029] Step S2, obtaining characteristic information of the current user, the characteristic information includes gender information, height value, age value and weight value. The characteristic information can be retrieved through identity information, and one identity information corresponds to unique characteristic information, which is specifically divided into two cases: judging whether the user has used the vehicle before according to the identity information of the current user, if so, it indicates that the current user is an old user, and the gender, height, age and weight of the current user are directly read out; if not, it indicates that the current user is a new user, and the gender, height, age and weight of the current user need to be manually input, or by other means, such as obtaining the gender, height, age and weight of the current user from the vehicle sensor or the vehicle bus.

[0030] Step S3, obtaining the current user's sitting height and sitting posture on the seat, as well as the current seat back angle. This can be applied to any seat. The current user's sitting height can be measured by obtaining the position of the center of the eyebrows or pupils through a camera, or by measuring the distance between the roof and the head through a roof radar. The current user's sitting posture can be obtained through a camera or a pressure sensing device. The sitting posture can be divided into normal sitting posture, side sitting, sitting on the front edge, sitting on the left or right edge, kneeling on the seat, lying on the seat, etc.

[0031] Step S4, input the characteristic information of the current user, the current user's sitting height and sitting posture on the seat, and the current seat back angle into a seat adjustment model to obtain seat adjustment parameters and steering wheel adjustment parameters. The input of the cockpit adjustment model is the current user's gender, height, age, weight, sitting height and sitting posture on the seat, and the current seat back angle, and the output is the seat slide position percentage T, seat height percentage H, seat back percentage B, headrest position percentage P, steering wheel axial position percentage SWC 1, and steering wheel inclination percentage SWC2. The seat slide position percentage T, seat height percentage H, seat back percentage B, and headrest position percentage P are seat adjustment parameters, and the steering wheel axial position percentage SWC 1 and steering wheel inclination percentage SWC2 are steering wheel adjustment parameters.

[0032] Step S5, evaluating the comfort level and safety level of the cabin according to the seat adjustment parameters and the steering wheel adjustment parameters.

[0033] The evaluation model for comfort level C is as follows:

[0034] C=F(C S ,C d ,C o ,C t ,W)

[0035] Among them, F represents the regression model obtained through training, verification and testing of data sets based on big data, and C S Indicates the static comfort level, C d Indicates the dynamic comfort level, C o Indicates the level of operating comfort, C t Indicates fatigue comfort level; W = {w 1 ,w 2 ,w 3 ,w 4},w 1 represents the weight corresponding to the static comfort level, w 2 represents the weight corresponding to the dynamic comfort level, w 3 Indicates the weight corresponding to the operating comfort level, w 4 represents the weight corresponding to the fatigue comfort level, and w 1 +w 2 +w 3 +w 4 =100%.

[0036] Static comfort level C S The calculation method is as follows: according to the size of each part of the human body and the seat position information, obtain the angle between the human body trunk and the vertical direction, the angle between the upper arm and the vertical direction, the angle between the thigh and the calf, the angle between the calf and the foot, the angle between the upper arm and the lower arm, the angle between the trunk and the thigh, the position of the head and neck, etc., and compare the obtained information with the comfort classification table. Static and dynamic comfort level C d The calculation method is: calculate and evaluate based on the human heart rate, seat position information and the pressure signal received by the seat. Operation comfort level C o The calculation method is: calculate and evaluate based on the size of each part of the human body, the cabin space information, the seat position information, and the steering wheel position information. Fatigue comfort level C t The calculation method is: calculate and evaluate based on driving time and driving distance.

[0037] The above four comfort levels C S , Cd , C o and C t The scores are all between 0 and 100, divided into four intervals: 4 to 100 indicates good comfort, 3 to 4 indicates acceptable comfort, 2 to 3 indicates average comfort, and 0 to 2 indicates poor comfort. S A value between 4 and 100 indicates good static comfort, a value between 3 and 4 indicates acceptable static comfort, a value between 2 and 3 indicates average static comfort, and a value between 0 and 2 indicates poor static comfort.

[0038] The evaluation model of safety level S is as follows:

[0039] S=F(A,P,V,O,W')

[0040] Where F represents the regression model based on big data after training, verification and testing, A represents the driver's side airbag collision index, P represents the headrest and whiplash test index, V represents the driving field of view index, O represents the driving control index; W' = {w' 1 ,w' 2 ,w' 3 ,w' 4}, w' 1 represents the weight corresponding to the driver's side airbag collision index, w' 2 represents the weights corresponding to the headrest and whiplash test indicators, w' 3 Represents the weight corresponding to the driving vision index, w' 4 represents the weight corresponding to the driving control index, and w' 1 +w' 2 +w' 3 +w' 4 =100%.

[0041] The calculation method of the driver's side airbag collision index A is: based on the human body's seat height, seat position information, steering wheel position information and the position information of the airbag in the cab, the relative position of the human body and the airbag is calculated to evaluate the degree of protection of the human body when a collision occurs. The calculation method of the headrest and whiplash test index P is: based on the human pupil position or head position and the seat headrest position, the degree of protection of the human neck during a collision or whiplash test at the rear of the vehicle is evaluated. The calculation method of the driving vision index V is: based on the human body's seat height, environmental information (daytime, nighttime) and seat position information, the driving safety is calculated and evaluated. The calculation method of the driving control index O is: based on the size of each part of the human body, seat position information, steering wheel position information and cab space information, the control interference and braking travel are calculated and evaluated.

[0042] The above-mentioned driver-side airbag collision index A, headrest and whiplash test index P, driving vision index V and driving control index O also adopt a scoring system, with a score between 0 and 100, divided into four intervals: 4 to 100 indicates good safety, 3 to 4 indicates acceptable safety, 2 to 3 indicates average safety, and 0 to 2 indicates poor safety. For example, the driver-side airbag collision index A is 4 to 100, indicating that the driver-side airbag has good safety, 3 to 4 indicates that the driver-side airbag has acceptable safety, 2 to 3 indicates that the driver-side airbag has average safety, and 0 to 2 indicates that the driver-side airbag has poor safety.

[0043] Step S6, determine whether the comfort level and safety level are both greater than the predetermined threshold. If the comfort level and safety level are both greater than the predetermined threshold, adjust the seat and steering wheel according to the seat adjustment parameters and steering wheel adjustment parameters. Otherwise, it means that the comfort level is less than the predetermined threshold or the safety level is less than the predetermined threshold or both the comfort level and safety level are less than the predetermined threshold, then repeat steps S4-S5 or end the process. Among them, when the comfort level is less than the predetermined threshold or the safety level is less than the predetermined threshold or both the comfort level and safety level are less than the predetermined threshold, if the driver and passenger change their actions to cause changes in sitting posture and sitting height, repeat steps S4-S5; if the driver and passenger do not change their actions, then end the process directly.

[0044] Step S7, periodically (for example, every 10 minutes) obtain the seat position information in the cabin to determine whether the seat position in the cabin has changed. If so, repeat steps S4-S6, if not, end the process. After the adjustment parameters are automatically calculated by the model, the user may make fine adjustments based on his or her preferences. At this time, the fine-tuned parameter data needs to be recorded and the comfort level and safety level need to be evaluated again to ensure the user's travel experience.

[0045] The present invention not only adjusts the seat according to the user's height and weight, but also takes into account the user's gender, age, and the user's sitting height and posture on the seat. The seat is adjusted in conjunction with the steering wheel, further improving the user's comfort experience. In addition, the present invention evaluates the comfort level and safety level of the adjusted parameters, which can improve the user's comfort experience while further ensuring the user's safety experience.

[0046] The above is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. The above embodiment of the present invention can also be modified in various ways. That is, all simple, equivalent changes and modifications made according to the claims and the description of the present invention fall within the scope of protection of the claims of the present invention. The contents not described in detail in the present invention are all conventional technical contents.

Claims

1. A method for adjusting a car cabin, characterized in that: include: Step S1, detect the vehicle and determine whether there is someone in the vehicle. If there is someone, execute step S2; otherwise, end the process; Step S2, obtaining characteristic information of the current user; Step S3, obtaining the current user's sitting height and sitting posture on the seat and the current seat back angle; Step S4, inputting the characteristic information, the seat height, the sitting posture and the seat back angle into a cabin adjustment model to obtain seat adjustment parameters and steering wheel adjustment parameters of the cabin; Step S5, evaluating the safety level of the cabin according to the seat adjustment parameters and the steering wheel adjustment parameters; wherein the evaluation of the safety level is based at least on the driver's side airbag collision index and the headrest and whiplash test index; Step S6, determining whether the safety levels are all greater than a predetermined threshold, if so, adjusting the seat and the steering wheel according to the seat adjustment parameters and the steering wheel adjustment parameters; otherwise, repeating steps S4-S5 or ending the process; Step S7, updating the seat position information in the cockpit to determine whether the seat position in the cockpit has changed, if so, repeating steps S4-S6, otherwise, ending the process; The calculation method of the driver's side airbag collision index is as follows: based on the human body's sitting height, seat position information, steering wheel position information and the position information of the driver's cabin airbag, the relative position of the human body and the airbag is calculated to evaluate the degree of protection of the human body when a collision occurs; The calculation method of the head restraint and whiplash test index is as follows: based on the position of the human pupil or head and the position of the seat head restraint, the degree of protection of the human neck during a rear-end collision or whiplash test is evaluated; The evaluation model of the safety level S is as follows: S=F(A,P,V,O,W'), Among them, F represents the regression model based on big data that is trained, verified and tested after data set training, A represents the driver's side airbag collision index, P represents the headrest and whiplash test index, V represents the driving field of view index, and O represents the driving control index; W'={w'1,w'2,w'3,w'4}, w'1 represents the weight corresponding to the driver's side airbag collision index, w'2 represents the weight corresponding to the headrest and whiplash test index, w'3 represents the weight corresponding to the driving field of view index, w'4 represents the weight corresponding to the driving control index, and w'1+w'2+w'3+w'4=100%.

2. The method for adjusting the vehicle cabin according to claim 1, characterized in that: The characteristic information includes at least one of gender information, height value, age value and weight value.

3. The vehicle cabin adjustment method according to claim 1, characterized in that: The seat adjustment parameters include seat rail position percentage, seat height percentage, seat back percentage and headrest position percentage.

4. The method for adjusting the vehicle cabin according to claim 1, characterized in that: The steering wheel adjustment parameters include a steering wheel axial position percentage and a steering wheel inclination percentage.

5. The method for adjusting the vehicle cabin according to claim 1, characterized in that: The step S5 further includes: evaluating the comfort level of the cabin according to the seat adjustment parameters and the steering wheel adjustment parameters, and the evaluation model of the comfort level C is as follows: C=F(C S ,C d ,C o ,C t ,W), Among them, F represents the regression model based on big data after training, verification and testing of the data set, C S Indicates the static comfort level, C d Indicates the dynamic comfort level, C o represents the operational comfort level, Ct represents the fatigue comfort level; W = {w1, w2, w3, w4}, w1 represents the weight corresponding to the static comfort level, w2 represents the weight corresponding to the dynamic comfort level, w3 represents the weight corresponding to the operational comfort level, w4 represents the weight corresponding to the fatigue comfort level, and w1+w2+w3+w4=100%.

6. The method for adjusting the vehicle cabin according to claim 5, characterized in that: The static comfort level is C S 、The dynamic comfort level is C d 、The operating comfort level is C o and the fatigue comfort level C t A scoring system is used for all tests, with scores divided into four ranges: 4-100, 3-4, 2-3, and 0-2.

7. The method for adjusting the vehicle cabin according to claim 1, characterized in that: The driver side airbag collision index A, the headrest and whiplash test index P, the driving field of view index V and the driving control index O all adopt a scoring system, and the scores are divided into four intervals of 4 to 100, 3 to 4, 2 to 3 and 0 to 2.

8. The method for adjusting the vehicle cabin according to claim 1, characterized in that: In step S7, the seat position information in the cockpit is updated periodically.

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