Seat control method and device, seat and vehicle

Abstract

The invention discloses a seat control method and device, a seat and a vehicle, and belongs to the technical field of vehicles. The seat is installed on the vehicle, the seat faces the driving front of the vehicle, and the method comprises the steps that driving speed information of the vehicle, detection distance information between the seat and a front structure corresponding to the seat in the vehicle and human body measurement data of passengers on the seat are obtained; determining a target distance between the seat and the corresponding front structure based on the driving speed information, the detection distance information and the human body measurement data; and under the condition that the collision early warning signal of the vehicle is received, the seat is controlled to move, so that the distance between the seat and the corresponding front structure is the target distance. Before the vehicle is about to collide, the seat is moved, a certain living space is provided for passengers, direct collision borne by the passengers when the vehicle collides is reduced, impact force is reduced, and therefore harm to the passengers is relieved.

Description

Technical Field

[0001] The present application relates to the field of vehicle technology, and in particular to a seat control method, device, seat, and vehicle. Background Art

[0002] Vehicle safety has always been a key concern for users, and automakers are constantly researching and developing various safety technologies. As the seat is the part that occupants come into direct contact with, its safety design is particularly important. Traditional vehicle seat design primarily focused on comfort and support, but in modern automotive safety systems, seat safety has become an integral component.

[0003] However, current vehicle seats usually provide protection for occupants by tightening seat belts and deploying airbags after a vehicle collision. The protection provided has a lag, and the protection effect on occupants needs to be improved. Summary of the Invention

[0004] The present application aims to solve at least one of the technical problems existing in the prior art. To this end, the present application proposes a seat control method, device, seat, and vehicle, which move the seat before a vehicle collision is about to occur to provide a certain amount of survival space for the occupants, thereby reducing the direct impact and impact force on the occupants during the vehicle collision, thereby alleviating injuries to the occupants.

[0005] In a first aspect, the present application provides a method for controlling a seat, wherein the seat is installed in a vehicle and faces the front of the vehicle. The method comprises:

[0006] acquiring driving speed information of the vehicle, detection distance information between the seat and a front structure corresponding to the seat in the vehicle, and anthropometric data of an occupant in the seat;

[0007] determining a target distance between the seat and the corresponding front structure based on the driving speed information, the detection distance information, and the anthropometric data;

[0008] When a collision warning signal of the vehicle is received, the seat is controlled to move so that the distance between the seat and the corresponding front structure becomes the target distance.

[0009] According to the seat control method of the present application, by obtaining the vehicle's driving speed information, the detection distance information between the seat and the corresponding front structure, and the anthropometry data of the occupant on the seat, and obtaining the target distance between the seat and the corresponding front structure based on the driving speed information, the detection distance information, and the anthropometry data, the seat is moved before the vehicle is about to collide so that the distance between the seat and the corresponding front structure is the target distance. When the vehicle is about to collide, protection for the occupant is activated, providing the occupant with a certain living space, thereby reducing the direct collision to the occupant when the vehicle collides and reducing the impact force, thereby alleviating damage to the occupant.

[0010] According to one embodiment of the present application, determining the target distance between the seat and the corresponding front structure based on the driving speed information, the detection distance information, and the anthropometric data includes:

[0011] determining, based on the driving speed information, the detection distance information, and the anthropometric data, a predicted impact force on the occupant and a predicted deformation distance of the front structure corresponding to the seat in a direction toward the seat;

[0012] The target distance is determined based on the predicted impact force and the predicted deformation distance.

[0013] According to one embodiment of the present application, determining the target distance based on the predicted impact force and the predicted deformation distance includes:

[0014] Using the detected distance information as initial first distance information;

[0015] If the predicted impact force is greater than or equal to a preset impact force threshold, and / or a first difference between the first distance information and the predicted deformation distance is less than or equal to a preset distance threshold, increasing the first distance information, and determining a new predicted impact force and a new predicted deformation distance based on the driving speed information, the new first distance information, and the anthropometric data, until the predicted impact force is less than the preset impact force threshold and the first difference is greater than the preset distance threshold;

[0016] The first distance information corresponding to the predicted impact force being less than the preset impact force threshold and the first difference being greater than the preset distance threshold is determined as the target distance.

[0017] According to one embodiment of the present application, determining the predicted impact force on the occupant and the predicted deformation distance of the front structure corresponding to the seat in the direction of the seat based on the driving speed information, the detection distance information, and the anthropometric data includes:

[0018] The driving speed information, the detection distance information and the anthropometric data are input into an impact force-deformation prediction model, and the impact force exerted on the occupant and the deformation of the front structure corresponding to the seat are predicted by the impact force-deformation prediction model, and the predicted impact force and the predicted deformation distance are output.

[0019] According to one embodiment of the present application, the impact force-deformation prediction model is a radial basis function network.

[0020] According to one embodiment of the present application, after controlling the seat to move so that the distance between the seat and the corresponding front structure is the target distance, the method further includes:

[0021] Obtaining information about the detonation time of the seat's airbag and tension information of the seat belt;

[0022] determining a target detonation time of the airbag and a target tension of the seat belt based on the driving speed information, the target distance, the anthropometric data, the detonation time information, and the tension information;

[0023] When a collision signal of the vehicle is received, the tension of the seat belt is adjusted to the target tension, and the airbag is deployed at the target deployment time.

[0024] According to one embodiment of the present application, the anthropometric data is determined based on age data, gender data, and weight data of the occupant.

[0025] In a second aspect, the present application provides a control device for a seat, wherein the seat is installed in a vehicle, and the device comprises:

[0026] an acquisition module, configured to acquire information on the vehicle's travel speed, information on a detection distance between the seat and a front structure corresponding to the seat in the vehicle, and anthropometric data of an occupant of the seat;

[0027] a first processing module, configured to determine a target distance between the seat and the corresponding front structure based on the driving speed information, the detection distance information, and the anthropometric data;

[0028] The second processing module is configured to control the seat to move so that the distance between the seat and the corresponding front structure becomes the target distance when a collision warning signal of the vehicle is received.

[0029] According to the control device of the seat of the present application, by obtaining the vehicle's driving speed information, the detection distance information between the seat and the corresponding front structure, and the anthropometry data of the occupant on the seat, and obtaining the target distance between the seat and the corresponding front structure based on the driving speed information, the detection distance information, and the anthropometry data, the seat is moved before the vehicle is about to collide so that the distance between the seat and the corresponding front structure is the target distance. When the vehicle is about to collide, protection for the occupant is activated, providing the occupant with a certain living space, so as to reduce the direct collision to the occupant when the vehicle collides and reduce the impact force, thereby alleviating the injury to the occupant.

[0030] In a third aspect, the present application provides a seat, comprising:

[0031] A moving device, connected to the control device as described in the second aspect above, and used to move the seat.

[0032] According to the seat of the present application, by obtaining the vehicle's driving speed information, the detection distance information between the seat and the corresponding front structure, and the anthropometry data of the occupant on the seat, and obtaining the target distance between the seat and the corresponding front structure based on the driving speed information, the detection distance information, and the anthropometry data, the seat is moved before the vehicle is about to collide so that the distance between the seat and the corresponding front structure is the target distance. When the vehicle is about to collide, protection for the occupant is activated, providing the occupant with a certain living space, so as to reduce the direct collision to the occupant when the vehicle collides and reduce the impact force, thereby reducing the injury to the occupant.

[0033] According to one embodiment of the present application, the seat further comprises:

[0034] An airbag and a safety belt are provided on the seat body.

[0035] In a fourth aspect, the present application provides a vehicle, comprising:

[0036] The seat as described in the third aspect above.

[0037] According to the vehicle of the present application, by obtaining the vehicle's driving speed information, the detection distance information between the seat and the corresponding front structure, and the anthropometry data of the occupant on the seat, and obtaining the target distance between the seat and the corresponding front structure based on the driving speed information, the detection distance information, and the anthropometry data, the seat is moved before the vehicle is about to collide so that the distance between the seat and the corresponding front structure is the target distance. When the vehicle is about to collide, protection for the occupant is activated, providing the occupant with a certain living space, thereby reducing the direct collision to the occupant when the vehicle collides and reducing the impact force, thereby alleviating damage to the occupant.

[0038] According to one embodiment of the present application, the vehicle further includes:

[0039] A user operation interface is used to receive user input and determine the anthropometric data in response to the user input.

[0040] In a fifth aspect, the present application provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the seat control method as described in the first aspect above is implemented.

[0041] In a sixth aspect, the present application provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the seat control method as described in the first aspect above.

[0042] In a seventh aspect, the present application provides a computer program product, comprising a computer program, which, when executed by a processor, implements the seat control method as described in the first aspect above.

[0043] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become obvious from the description below, or will be learned through practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which:

[0045] Figure 1 This is one of the flow charts of the seat control method provided in the embodiment of the present application;

[0046] Figure 2 This is the second flow chart of the seat control method provided in the embodiment of the present application;

[0047] Figure 3 Schematic diagram of training a radial basis function network provided in an embodiment of the present application;

[0048] Figure 4 This is the third flow chart of the seat control method provided in the embodiment of the present application;

[0049] Figure 5 This is the fourth flow chart of the seat control method provided in the embodiment of the present application;

[0050] Figure 6 is a schematic structural diagram of a control device for a seat provided in an embodiment of the present application;

[0051] Figure 7is a structural diagram of a mobile device provided in an embodiment of the present application;

[0052] Figure 8 It is a structural diagram of an electronic device provided in an embodiment of the present application.

[0053] Reference numerals:

[0054] First guide rail 710 , second guide rail 720 , and spring mechanism 730 . DETAILED DESCRIPTION

[0055] The following will be combined with the accompanying drawings in the embodiments of this application to clearly describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field are within the scope of protection of this application.

[0056] The terms "first," "second," and the like in the specification and claims of this application are used to distinguish similar objects, and are not used to describe a specific order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate, so that the embodiments of this application can be implemented in an order other than that illustrated or described herein, and that the objects distinguished by "first," "second," and the like are generally of the same type, and do not limit the number of objects; for example, the first object can be one or more. In addition, the term "and / or" in the specification and claims refers to at least one of the connected objects, and the character " / " generally indicates that the objects connected are in an "or" relationship.

[0057] It should be noted that all actions of acquiring signals, information or data in this application are carried out in compliance with the relevant data protection laws and policies of the country where they are located and with the authorization given by the owner of the corresponding device.

[0058] It should be noted that the information (including but not limited to user device information, user personal information, etc.), data (including but not limited to data used for analysis, stored data, displayed data, etc.) and signals (including but not limited to signals transmitted between user terminals and other devices, etc.) involved in this disclosure are all authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant laws, regulations and standards of relevant countries and regions.

[0059] Below, in conjunction with the accompanying drawings, the seat control method, seat control device, seat, vehicle, electronic device and readable storage medium provided in the embodiments of the present application are described in detail through specific embodiments and their application scenarios.

[0060] The seat control method may be applied to a terminal, and may be specifically executed by hardware or software in the terminal.

[0061] The terminal includes, but is not limited to, a portable communication device such as a mobile phone or tablet computer having a touch-sensitive surface (e.g., a touch screen display and / or a touch pad). It should also be understood that, in some embodiments, the terminal may not be a portable communication device, but a desktop computer having a touch-sensitive surface (e.g., a touch screen display and / or a touch pad).

[0062] In the following embodiments, a terminal including a display and a touch-sensitive surface is described. However, it should be understood that the terminal may include one or more other physical user interface devices such as a physical keyboard, a mouse, and a joystick.

[0063] The seat control method provided in the embodiment of the present application can be executed by an electronic device or a functional module or functional entity in the electronic device that can implement the seat control method. The electronic devices mentioned in the embodiment of the present application include but are not limited to mobile phones and computers. The seat control method provided in the embodiment of the present application is explained below using an electronic device as an example of the execution subject.

[0064] In the embodiment of the present application, the seat is installed on the vehicle, and the seat faces the front of the vehicle.

[0065] like Figure 1 As shown, the seat control method includes: step 110, step 120 and step 130.

[0066] Step 110 : Acquire vehicle speed information, detection distance information between the seat and a front structure corresponding to the seat in the vehicle, and anthropometric data of the seat occupant.

[0067] The driving speed information refers to the size and change information of the speed value during the vehicle's driving process.

[0068] In this embodiment, the front structure corresponding to the seat inside the vehicle is the components and structure in front of the seat in the interior space of the vehicle. For example, when the seat is a driver's seat, the front structure corresponding to the seat may include a steering wheel, an instrument panel, pedals, a front panel, etc. When the seat is a front passenger seat, the front structure corresponding to the seat may include the passenger side area of the instrument panel, the front panel, etc. When the seat is the rear seat behind the driver's seat, the front structure corresponding to the seat may include the front seat back structure, etc.

[0069] The detection distance information is the distance between the seat and the corresponding front structure along the vehicle's traveling direction, and may include the distance between a certain point on the seat and a certain point on the corresponding front structure along the vehicle's traveling direction.

[0070] For example, the center point of the front edge of the seat, the center point of the connection between the seat back and the seat cushion, or the center point of the seat headrest can be selected as the reference point, and the center point of the steering wheel, the center point of the front panel, or the center point of the front seat back can be selected as the reference point. The detection distance information is determined based on the reference points on the seat and the corresponding reference points on the front structure.

[0071] In this embodiment, the anthropometric data is data obtained by quantitatively measuring the body size of a human body and is used to characterize the morphological characteristics of the human body.

[0072] In actual implementation, the driving speed information can be obtained through the speed sensor, the detection distance information can be obtained through the ranging sensor, and the image information of the occupants can be obtained and analyzed. The image processing technology is used to analyze the physical characteristics of the occupants to obtain anthropometric data.

[0073] Step 120 : Determine a target distance between the seat and the corresponding front structure based on the driving speed information, the detection distance information, and the anthropometric data.

[0074] The target distance is a desired distance between the seat and the corresponding front structure. When the distance between the seat and the corresponding front structure is the target distance, collision between the occupant and the seat and the corresponding front structure can be reduced.

[0075] In this step, the distance between the occupant's head, chest, legs, ankles, etc. and the front structure corresponding to the seat when the occupant maintains a comfortable sitting posture can be analyzed based on the detection distance information and anthropometric data. The inertia effect during emergency braking of the vehicle can be taken into consideration based on the driving speed information and anthropometric data to analyze the possible forward distance of the occupant's body, the possible collisions the occupant may suffer and the forces caused by the collision, etc. The possible degree of damage to the vehicle can be analyzed based on the driving speed information to determine the target distance between the seat and the corresponding front structure, so that the occupant still has a certain survival space under the possible degree of damage to the vehicle.

[0076] In actual implementation, based on driving speed information, detection distance information and anthropometric data, the target distance can be determined through corresponding neural network models or machine learning models.

[0077] Step 130: When a collision warning signal of the vehicle is received, control the seat to move so that the distance between the seat and the corresponding front structure reaches the target distance.

[0078] Among them, the collision warning signal is used to indicate that the vehicle may be about to collide. The collision warning signal can be issued when the vehicle's speed suddenly changes in a short period of time. The vehicle's collision warning system can also monitor the vehicle's surrounding environment, detect collision risks, and issue a collision warning signal when danger approaches.

[0079] In this embodiment, when a collision warning signal is received from the vehicle, indicating that the vehicle is about to collide, the seat is moved to a position at a target distance from the corresponding front structure before the vehicle collides, so that the occupants have a certain survival space when the vehicle collides, thereby reducing injuries to the occupants.

[0080] It should be noted that moving the seat may include translating the seat and changing the inclination angle between the seat and the floor.

[0081] According to the seat control method provided in the embodiment of the present application, by obtaining the vehicle's driving speed information, the detection distance information between the seat and the corresponding front structure, and the anthropometry data of the occupant on the seat, and obtaining the target distance between the seat and the corresponding front structure based on the driving speed information, the detection distance information, and the anthropometry data, the seat is moved before the vehicle is about to collide so that the distance between the seat and the corresponding front structure is the target distance. When the vehicle is about to collide, protection for the occupant is activated, providing the occupant with a certain living space, thereby reducing the direct collision to the occupant when the vehicle collides and reducing the impact force, thereby alleviating damage to the occupant.

[0082] In some embodiments, determining a target distance between a seat and a corresponding front structure based on the driving speed information, the detection distance information, and the anthropometric data includes:

[0083] Determining, based on driving speed information, detection distance information, and anthropometric data, a predicted impact force on the occupant and a predicted deformation distance of the front structure corresponding to the seat toward the seat;

[0084] The target distance is determined based on the predicted impact force and the predicted deformation distance.

[0085] Among them, the predicted impact force is the impact force that the occupants may be subjected to when the vehicle collides, and the predicted deformation distance is the distance that the front structure corresponding to the seat may extend toward the direction of the seat after deformation when the vehicle collides.

[0086] In this embodiment, the impact force can be calculated and predicted by establishing a corresponding formula or model based on the driving speed information, the detection distance information and the anthropometric data through dynamic analysis combined with a biomechanical model.

[0087] According to the driving speed information, detection distance information and human body measurement data, combined with vehicle mass, structural mechanics characteristics and dynamic collision tests, corresponding formulas or models can be established to calculate the predicted deformation distance.

[0088] In this embodiment, the possible degree of injury to the occupant can be analyzed based on the predicted impact force and the predicted deformation distance. There can be a corresponding relationship between the degree of injury and the target distance. Based on the analyzed degree of injury, the target distance is adjusted to minimize the degree of injury to the occupant.

[0089] In some embodiments, determining the target distance based on the predicted impact force and the predicted deformation distance includes:

[0090] Using the detected distance information as initial first distance information;

[0091] If the predicted impact force is greater than or equal to a preset impact force threshold, and / or the first difference between the first distance information and the predicted deformation distance is less than or equal to the preset distance threshold, increasing the first distance information and determining a new predicted impact force and a new predicted deformation distance based on the driving speed information, the new first distance information, and the anthropometric data until the predicted impact force is less than the preset impact force threshold and the first difference is greater than the preset distance threshold;

[0092] The first distance information corresponding to the predicted impact force being less than the preset impact force threshold and the first difference being greater than the preset distance threshold is determined as the target distance.

[0093] In this embodiment, the first distance information is distance information that is continuously updated iteratively, and the initial first distance information is detection distance information.

[0094] The preset impact force threshold is an impact force value preset based on the biomechanical tolerance limit, regulations, industry standards, etc., and the preset distance threshold is a distance value preset based on the common sitting posture of the occupants, regulations, industry standards, etc.

[0095] The first difference is a value obtained by subtracting the first distance information from the predicted deformation distance.

[0096] In this embodiment, when the predicted impact force is greater than or equal to the preset impact force threshold, and / or the first difference is less than or equal to the preset distance threshold, it indicates that the impact force experienced by the occupant during the vehicle collision is large, and / or the front structure corresponding to the seat may cause squeezing to the occupant after deformation, that is, it is predicted that the occupant is in a situation where the degree of injury is large.

[0097] In this embodiment, based on driving speed information, detection distance information, i.e., initial first distance information, and anthropometric data, the predicted impact force and predicted deformation distance are determined, the predicted impact force is compared with a preset impact force threshold, and the first distance information is subtracted from the predicted deformation distance to obtain a first difference, which is compared with the preset distance threshold. When the comparison result is that the predicted impact force is greater than or equal to the preset impact force threshold, and / or the first difference is less than or equal to the preset distance threshold, the first distance information is adjusted to increase.

[0098] Based on the driving speed information, the increased first distance information and the anthropometric data, the predicted impact force and the predicted deformation distance are re-determined, the predicted impact force is compared with the preset impact force threshold again, and the first difference is compared with the preset distance threshold. When the comparison result shows that the predicted impact force is greater than or equal to the preset impact force threshold, and / or the first difference is less than or equal to the preset distance threshold, the first distance information is continued to be increased, and iterative updates are continuously performed until the predicted impact force calculated based on the first distance information is less than the preset impact force threshold and the first difference is greater than the preset distance threshold. The iteration is stopped, and the current first distance information is determined as the target distance.

[0099] In some embodiments, determining the predicted impact force on the occupant and the predicted deformation distance of the front structure corresponding to the seat in the direction of the seat based on the driving speed information, the detection distance information, and the anthropometric data includes:

[0100] Driving speed information, detection distance information and anthropometric data are input into the impact force-deformation prediction model. The impact force on the occupant and the deformation of the front structure corresponding to the seat are predicted by the impact force-deformation prediction model, and the predicted impact force and predicted deformation distance are output.

[0101] Among them, the impact force-deformation prediction model is used to predict the impact force suffered by the occupant and the deformation of the front structure corresponding to the seat based on driving speed information, detection distance information and anthropometric data.

[0102] The input parameters of the impact force-deformation prediction model are driving speed information, detection distance information and anthropometric data, and the output parameters are predicted impact force and predicted deformation distance.

[0103] It should be noted that the impact force-deformation prediction model can be a deterministic model based on physical principles, or a neural network or machine learning model trained with historical data.

[0104] In some embodiments, the impact force-deformation prediction model is a radial basis function network.

[0105] Among them, the radial basis function (RBF) network is a feedforward artificial neural network, which has the advantages of strong nonlinear mapping ability, strong generalization ability and fast training.

[0106] In this embodiment, the anthropometric data of the dummy in the simulation test, the distance between the corresponding position of the dummy's ankle on the seat and the front panel, the distance between the corresponding position of the dummy's chest on the seat and the steering wheel, and the driving speed information are used as input items, and the impact force received by the corresponding dummy and the deformation distance of the corresponding front structure of the seat toward the direction of the seat are used as output items. The relationship between the input items and the output items is constructed through a radial basis function network.

[0107] The driving speed information, detection distance information and anthropometric data are input into the radial basis function network, and the radial basis function network outputs the predicted impact force and predicted deformation distance.

[0108] Determine whether the predicted impact force is less than a preset impact force threshold, and determine whether the first difference is greater than a preset distance threshold. Based on the judgment result, translate and rotate the seat backward so that the seat obtains a new position and angle, and obtains new detection distance information.

[0109] The new detection distance information is updated to the radial basis function network through the back propagation algorithm, and the new predicted impact force and predicted deformation distance are output for further judgment.

[0110] When the predicted impact force is less than the preset impact force threshold and the first difference is greater than the preset distance threshold, the training is stopped and the target distance is finally output.

[0111] In some embodiments, after controlling the seat to move so that the distance between the seat and the corresponding front structure is the target distance, the method further includes:

[0112] Obtaining information about the detonation time of the seat's airbag and the tension of the seat belt;

[0113] Determining a target airbag deployment time and a target seatbelt tension based on driving speed information, target distance, anthropometric data, deployment time information, and tension information;

[0114] When a collision signal of the vehicle is received, the tension of the seat belt is adjusted to the target tension, and the airbag is deployed at the target deployment time.

[0115] The seat airbag may be an airbag installed on the side of the seat, the detonation moment information is the moment when the airbag is activated and rapidly inflated, and the seat belt tension information is the magnitude of the pulling force applied by the seat belt to the occupant.

[0116] In this embodiment, the detonation time information of the airbag can be obtained through the airbag control unit of the vehicle, and the tension information of the seat belt can be obtained through the tension sensor.

[0117] In this embodiment, the target detonation time is the time when the airbag is expected to be detonated. Detonating the airbag at the target detonation time can improve the protection level of the occupant. The target tension is the tension that the seat belt is expected to reach. The seat belt is at the target tension to improve the protection level of the occupant.

[0118] In this embodiment, the distance between the occupant's head, chest, legs, ankles, etc. and the front structure corresponding to the seat when the occupant maintains a comfortable sitting posture can be analyzed based on the target distance and anthropometric data. The possible forward distance of the occupant's body can be analyzed based on the driving speed information and anthropometric data, and the inertia effect during vehicle emergency braking is taken into consideration. The possible collisions the occupant may suffer and the forces caused by the collisions can be analyzed. The possible degree of damage to the vehicle can be analyzed based on the driving speed information. In combination with the detonation time information and the tension information, the degree of protection that the airbag and seat belt can provide to the occupant can be analyzed. When the driving speed information, the target distance, and the anthropometric data are determined, the detonation time information and the tension information are adjusted to determine the target detonation time and target tension, so that the airbag and seat belt can provide more effective protection for the occupant.

[0119] In actual implementation, based on driving speed information, target distance, anthropometric data, detonation time information and tension information, the target detonation time and target tension can be determined through corresponding neural network models or machine learning models.

[0120] The collision occurrence signal is used to indicate that a vehicle has collided. The collision can be detected by a collision sensor or the like, and a collision occurrence signal can be issued.

[0121] In this embodiment, when a collision signal is received from the vehicle, indicating that the vehicle has collided, the tension of the seat belt is adjusted to the target tension, and the airbag is deployed at the target deployment time to provide protection for the occupants.

[0122] Before a vehicle collision occurs, the seat is moved to a position at a target distance from the corresponding front structure so that the occupants have a certain amount of survival space when the vehicle crashes, reducing injuries to the occupants.

[0123] In actual implementation, the target detonation time of the airbag and the target tension of the seatbelt can be determined through a radial basis function network based on driving speed information, target distance, anthropometric data, detonation time information and tension information.

[0124] Driving speed information, target distance, anthropometric data, detonation time information, and tension information are used as input items, and the impact force and the deformation distance of the front structure corresponding to the seat in the direction of the seat are used as output items. The relationship between the input and output items is constructed through a radial basis function network.

[0125] According to the output predicted impact force and predicted deformation distance, it is determined whether the predicted impact force is less than a preset impact force threshold and whether the first difference is greater than a preset distance threshold.

[0126] According to the judgment results, the tension of the seat belt and the detonation time of the airbag are adjusted, and the radial basis function network is updated through the back propagation algorithm to output the new predicted impact force and predicted deformation distance. The judgment is made again. When the predicted impact force is less than the preset impact force threshold and the first difference is greater than the preset distance threshold, the training is stopped, and the target detonation time and target tension are finally output.

[0127] When a collision signal is received from the vehicle, the sensor transmits the target detonation time and target tension output by the radial basis function network to the vehicle's electronic control unit (ECU). The ECU adjusts the tension of the seat belt to the target tension and detonates the airbag at the target detonation time.

[0128] In some embodiments, anthropometric data is determined based on age data, gender data, and weight data of the occupant.

[0129] In this embodiment, an interactive screen can be provided in the vehicle, and passengers can input their age and gender data on the interactive screen, activate the weight data acquisition function, and set a weight sensor under the seat to acquire weight data.

[0130] In this embodiment, the anthropometric data may be determined by searching an anthropometric database or standard based on the age data, gender data, and weight data of the occupant.

[0131] The seat control method provided in the embodiment of the present application can be executed by a seat control device. In the embodiment of the present application, the seat control device is used as an example to illustrate the seat control method provided in the embodiment of the present application.

[0132] An embodiment of the present application also provides a control device for a seat.

[0133] In this embodiment, the seat is mounted to a vehicle.

[0134] like Figure 6 As shown, the control device of the seat includes:

[0135] an acquisition module 610 for acquiring vehicle speed information, a detection distance between a seat and a front structure corresponding to the seat in the vehicle, and anthropometric data of an occupant in the seat;

[0136] a first processing module 620 for determining a target distance between a seat and a corresponding front structure based on the driving speed information, the detection distance information, and the anthropometric data;

[0137] The second processing module 630 is configured to control the movement of the seat upon receiving a collision warning signal from the vehicle so that the distance between the seat and the corresponding front structure reaches a target distance.

[0138] According to the control device of the seat provided in the embodiment of the present application, by obtaining the vehicle's driving speed information, the detection distance information between the seat and the corresponding front structure, and the anthropometry data of the occupant on the seat, and obtaining the target distance between the seat and the corresponding front structure based on the driving speed information, the detection distance information, and the anthropometry data, the seat is moved before the vehicle is about to collide so that the distance between the seat and the corresponding front structure is the target distance. When the vehicle is about to collide, protection for the occupant is activated, providing the occupant with a certain living space, thereby reducing the direct collision to the occupant when the vehicle collides and reducing the impact force, thereby alleviating damage to the occupant.

[0139] In some embodiments, the first processing module 620 is configured to determine a predicted impact force on the occupant and a predicted deformation distance of a front structure corresponding to the seat in a direction toward the seat based on the driving speed information, the detection distance information, and the anthropometric data;

[0140] The target distance is determined based on the predicted impact force and the predicted deformation distance.

[0141] In some embodiments, the first processing module 620 is configured to use the detected distance information as initial first distance information;

[0142] If the predicted impact force is greater than or equal to a preset impact force threshold, and / or the first difference between the first distance information and the predicted deformation distance is less than or equal to the preset distance threshold, increasing the first distance information and determining a new predicted impact force and a new predicted deformation distance based on the driving speed information, the new first distance information, and the anthropometric data until the predicted impact force is less than the preset impact force threshold and the first difference is greater than the preset distance threshold;

[0143] The first distance information corresponding to the predicted impact force being less than the preset impact force threshold and the first difference being greater than the preset distance threshold is determined as the target distance.

[0144] In some embodiments, the first processing module 620 is used to input driving speed information, detection distance information and anthropometric data into an impact force-deformation prediction model, predict the impact force suffered by the occupant and the deformation of the front structure corresponding to the seat through the impact force-deformation prediction model, and output the predicted impact force and predicted deformation distance.

[0145] In some embodiments, the impact force-deformation prediction model is a radial basis function network.

[0146] In some embodiments, the second processing module 630 is further configured to obtain information on the detonation time of the seat's airbag and tension information of the seat belt;

[0147] Determining a target airbag deployment time and a target seatbelt tension based on driving speed information, target distance, anthropometric data, deployment time information, and tension information;

[0148] When a collision signal of the vehicle is received, the tension of the seat belt is adjusted to the target tension, and the airbag is deployed at the target deployment time.

[0149] In some embodiments, anthropometric data is determined based on age data, gender data, and weight data of the occupant.

[0150] The seat control device in the embodiment of the present application can be an electronic device or a component in an electronic device, such as an integrated circuit or a chip. The electronic device can be a terminal or other device other than a terminal. For example, the electronic device can be a mobile phone, a tablet computer, a laptop computer, a PDA, an in-vehicle electronic device, a mobile internet device (MID), an augmented reality (AR) / virtual reality (VR) device, a robot, a wearable device, an ultra-mobile personal computer (UMPC), a netbook or a personal digital assistant (PDA), etc. It can also be a server, a network attached storage (NAS), a personal computer (PC), a television (TV), a teller machine or a self-service machine, etc., and the embodiment of the present application does not specifically limit it.

[0151] The seat control device in the embodiment of the present application may be a device having an operating system. The operating system may be an Android operating system, an iOS operating system, or other possible operating systems, which are not specifically limited in the embodiment of the present application.

[0152] The control device of the seat provided in the embodiment of the present application can achieve Figures 1 to 5 To avoid repetition, the various processes implemented in the method embodiment are not described here.

[0153] An embodiment of the present application also provides a seat.

[0154] The seat includes a moving device, which is connected to the above-mentioned control device and is used to move the seat.

[0155] like Figure 7 As shown, the moving device includes two sets of guide rails and four spring mechanisms 730 , wherein the first guide rail 710 is arranged along the X direction and the second guide rail 720 is arranged along the Y direction.

[0156] The first guide rail 710 is located above the second guide rail 720 and can move along the X direction along the second guide rail 720 as a whole. The seat is located above the first guide rail 710 and can move along the Y direction along the first guide rail 710 as a whole.

[0157] Four spring mechanisms 730 are arranged below the second guide rail 720 and are connected to the second guide rail 720. Each spring mechanism 730 can be individually adjusted to a certain degree of release. The combination method includes rotating to varying degrees in the X direction, Y direction, and at any spring mechanism 730. In addition, the four spring mechanisms 730 can be adjusted simultaneously to complete the lifting and lowering of the seat in the Z direction.

[0158] When the vehicle's collision warning signal is received, the seat is slid by sliding the guide rail and the state of the four secondary springs under the guide rail is adjusted to rotate the seat, so that the seat position and angle are adjusted to the target distance from the corresponding front structure.

[0159] According to the seat provided in the embodiment of the present application, by obtaining the vehicle's driving speed information, the detection distance information between the seat and the corresponding front structure, and the anthropometry data of the occupant on the seat, and obtaining the target distance between the seat and the corresponding front structure based on the driving speed information, the detection distance information, and the anthropometry data, the seat is moved before the vehicle is about to collide so that the distance between the seat and the corresponding front structure is the target distance. When the vehicle is about to collide, protection for the occupant is activated, providing the occupant with a certain living space, thereby reducing the direct collision to the occupant when the vehicle collides and reducing the impact force, thereby alleviating damage to the occupant.

[0160] In some embodiments, the seat further comprises:

[0161] Airbag and seat belt, the airbag and seat belt are arranged on the seat body.

[0162] The present application also provides a vehicle, characterized by comprising:

[0163] Such as the seats mentioned above.

[0164] According to the vehicle provided in the embodiment of the present application, by obtaining the vehicle's driving speed information, the detection distance information between the seat and the corresponding front structure, and the anthropometry data of the occupant on the seat, and obtaining the target distance between the seat and the corresponding front structure based on the driving speed information, the detection distance information, and the anthropometry data, the seat is moved before the vehicle is about to collide so that the distance between the seat and the corresponding front structure is the target distance. When the vehicle is about to collide, protection for the occupant is activated, providing the occupant with a certain living space, thereby reducing the direct collision to the occupant when the vehicle collides and reducing the impact force, thereby alleviating injuries to the occupant.

[0165] In some embodiments, the vehicle further comprises:

[0166] The user operation interface is used to receive user input and determine anthropometric data in response to the user input.

[0167] Among them, the user operation interface is an interface that can receive user operation instructions and data input. User input can include age data and gender data, and the weight data acquisition function can be activated according to the user input. A pressure sensor is set on the seat cushion to obtain weight data, thereby determining anthropometric data.

[0168] The vehicle provided in the embodiment of the present application integrates an active safety control module, a passive safety control module, a user operation interface and a system collaborative work module.

[0169] Among them, the active safety control module can monitor the vehicle status and surrounding environment in real time through the sensor network. When a vehicle collision is about to occur, the active safety control module can combine the radial basis network model and the seat avoidance mechanism, i.e., the moving device, to pre-adjust the seat position, thereby reducing the impact force on the occupants.

[0170] The passive safety integrated control module can provide additional protection by regulating the airbags, seat belts and other seat components built into the seats to absorb impact when a collision occurs.

[0171] The user interface allows occupants to manually preset the seat's response parameters, providing personalized safety settings.

[0172] The system collaboration module enables the seat system to communicate and collaborate with the vehicle's Electronic Control Unit (ECU) module to provide a comprehensive safety strategy.

[0173] The integrated active and passive design can improve the intelligence level of the vehicle's safety system, and can take safety protection measures before a collision occurs, thereby improving the overall safety of the occupants.

[0174] In this embodiment, the vehicle also includes multiple sensors that monitor the vehicle's driving speed information, the weight information of the occupant on the seat, the distance between the occupant's ankle and the front panel, the distance between the occupant's chest and the steering wheel, and transmit the RBF output information to the ECU module.

[0175] The vehicle also includes at least one memory for storing the RBF network model.

[0176] A specific embodiment of a seat control method is introduced below.

[0177] like Figure 2 As shown, in step 1, the age data a, gender data s, and weight data m of the occupant on the active and passive integrated seat are collected through the user operation interface, pressure sensor, and speed sensor to determine the anthropometric data. The distance sensor is used to collect the distance L2 between the position corresponding to the ankle of the occupant on the seat and the front panel of the vehicle, and the distance L1 between the position corresponding to the chest of the occupant and the steering wheel to obtain detection distance information. The speed sensor is used to collect the vehicle's driving speed information v.

[0178] Step 2: Input the anthropometric data, the distance L2 between the position corresponding to the occupant's ankle on the seat and the front panel of the vehicle, the distance L1 between the position corresponding to the occupant's chest and the steering wheel, and the driving speed information v into the pre-trained radial basis function network model, and output the new distance L2 between the position corresponding to the occupant's ankle on the seat and the front panel of the vehicle, and the distance L1 between the position corresponding to the occupant's chest and the steering wheel.

[0179] Step 3. When a head-on collision signal is detected, that is, when a collision warning signal from the vehicle is received, the secondary spring system is activated, the angle α of the active and passive integrated seat is adjusted, and the slide rail is slid backward, so that the angle and position of the seat are dynamically updated after adjustment to the distance between the position corresponding to the occupant's ankle on the seat and the front panel of the vehicle is a new L2, and the distance between the position corresponding to the occupant's chest and the steering wheel is a new L1.

[0180] Step 4: Update the radial basis function network using the backpropagation algorithm to determine the distance L2 between the occupant's ankle on the seat and the vehicle's front panel, and the distance L1 between the occupant's chest and the steering wheel, and output the target detonation time of the airbag and the target tension of the seat belt.

[0181] Step 5: The target tension and target detonation time are transmitted to the vehicle's ECU module through the sensor to control the force limit of the seat belt and the detonation time of the airbag.

[0182] The following introduces the training process of a radial basis function network.

[0183] like Figure 3As shown, step 1, in the simulation test, collect the sample driving speed of the vehicle under standard working conditions, and the placement of the dummy on the seat, that is, the distance between the dummy's chest and the steering wheel and the distance between the dummy's ankles and the front panel, as well as the corresponding age, gender and weight of the dummy, and collect the tension of the seat belt and the detonation time of the airbag as input items, and the corresponding dummy injury, that is, the impact force suffered by the dummy, and the front panel intrusion, that is, the deformation distance of the front structure toward the seat as output items.

[0184] Step 2: Establish a mapping relationship between the collected input items and output items through the radial basis function network to construct the original model of the radial basis function network.

[0185] Step 3: Use sensors to detect parameters that are the same as those in the simulation test conditions.

[0186] Step 4: Input the data detected by the sensor into the original model of the radial basis function network.

[0187] Step 5: Output the data detected by the sensor as input items of the occupant chest injury, ie, the predicted impact force, and the front panel intrusion, ie, the predicted deformation distance.

[0188] Step 6: Use the mean square error formula to determine the correlation between the predicted impact force and predicted deformation distance mapped by the original model of the radial basis function network and the experimental simulation results. Based on the judgment results, use the reverse algorithm to update the non-parametric variables in the original model of the radial basis function network until the correlation meets the requirements, completing the training of the radial basis function network.

[0189] Step 7: Output the predicted impact force and predicted deformation distance that meet the correlation requirements.

[0190] The following describes a specific embodiment of active safety control corresponding to a seat control method.

[0191] like Figure 4 As shown, in step 1, the sensor detects the driving speed information v, the distance L1 between the corresponding position of the chest of the seat occupant and the steering wheel, the distance L2 between the corresponding position of the seat occupant's ankle and the front panel of the vehicle, the age data a, gender data s and weight data m of the seat occupant, and determines the anthropometric data.

[0192] Step 2: Input the information detected by the sensor into the trained radial basis function network.

[0193] Step 3: Output the predicted impact force H and the predicted deformation distance D.

[0194] Step 4: Determine whether the predicted impact force H and the predicted deformation distance D satisfy H < the preset impact force threshold and D < L, where L = min(L1, L2). According to the judgment result, use the backpropagation algorithm to update L1 and L2, and repeat Steps 2 to 4 until the requirements are met.

[0195] Step 5: Output the updated distance L1 between the corresponding position of the occupant's chest on the seat and the steering wheel, and the distance L2 between the corresponding position of the occupant's ankle and the vehicle's front bulkhead.

[0196] The following introduces a specific embodiment of passive safety control corresponding to the control method of a seat.

[0197] As Figure 5 shown, Step 1: Detect the driving speed information v, the age data a, gender data s, and weight data m of the occupant on the seat, the tension F of the seat belt and the ignition time t of the airbag, as well as the distance L1 between the corresponding position of the occupant's chest on the seat and the steering wheel corresponding to the target distance, and the distance L2 between the corresponding position of the occupant's ankle and the vehicle's front bulkhead through sensors.

[0198] Step 2: Input the information in Step 1 into the trained radial basis function network;

[0199] Step 3: Output the predicted impact force H and the predicted deformation distance D.

[0200] Step 4: Determine whether the predicted impact force H and the predicted deformation distance D satisfy H < the preset impact force threshold and D < L, where L = min(L1, L2). According to the judgment result, use the backpropagation algorithm to update the tension F of the seat belt and the ignition time t of the airbag, and repeat Steps 2 to 4 until the requirements are met.

[0201] Step 5: Output the updated tension F of the seat belt as the target tension and the ignition time t of the airbag as the target ignition time.

[0202] In some embodiments, as Figure 8 shown, the embodiment of the present application also provides an electronic device 800, including a processor 801, a memory 802, and a computer program stored on the memory 802 and executable on the processor 801. When the program is executed by the processor 801, it implements each process of the embodiment of the control method of the seat described above and can achieve the same technical effects. To avoid repetition, it will not be elaborated here.

[0203] It should be noted that the electronic device in the embodiment of the present application includes the above-mentioned mobile electronic device and non-mobile electronic device.

[0204] An embodiment of the present application also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the various processes of the above-mentioned seat control method embodiment are implemented and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0205] The processor is the processor in the electronic device described in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a computer read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0206] An embodiment of the present application also provides a computer program product, including a computer program, which implements the above-mentioned seat control method when executed by a processor.

[0207] The processor is the processor in the electronic device described in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a computer read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0208] An embodiment of the present application further provides a chip, which includes a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the various processes of the above-mentioned seat control method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0209] It should be understood that the chip mentioned in the embodiments of the present application can also be called a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.

[0210] It should be noted that, in this article, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the statement "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or device comprising the element. In addition, it should be noted that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in the opposite order according to the functions involved. For example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0211] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus the necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art can be embodied in the form of a computer software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), including a number of instructions for enabling a terminal (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in each embodiment of the present application.

[0212] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of this application, ordinary technicians in this field can also make many forms without departing from the purpose of this application and the scope of protection of the claims, all of which are within the protection of this application.

[0213] Throughout this specification, reference to terms such as "one embodiment," "some embodiments," "illustrative embodiments," "examples," "specific examples," or "some examples" means that the specific features, structures, materials, or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0214] Although the embodiments of the present application have been shown and described, those skilled in the art will appreciate that various changes, modifications, substitutions, and variations may be made to the embodiments without departing from the principles and purpose of the present application, and that the scope of the present application is defined by the claims and their equivalents.

Claims

1. A seat control method, characterized in that: The seat is installed on a vehicle, and faces the front of the vehicle. The method includes: acquiring driving speed information of the vehicle, detection distance information between the seat and a front structure corresponding to the seat in the vehicle, and anthropometric data of an occupant in the seat; determining a target distance between the seat and the corresponding front structure based on the driving speed information, the detection distance information, and the anthropometric data; When a collision warning signal of the vehicle is received, the seat is controlled to move so that the distance between the seat and the corresponding front structure becomes the target distance.

2. The seat control method according to claim 1, characterized in that: The determining, based on the driving speed information, the detection distance information, and the anthropometric data, of a target distance between the seat and the corresponding front structure includes: determining, based on the driving speed information, the detection distance information, and the anthropometric data, a predicted impact force on the occupant and a predicted deformation distance of the front structure corresponding to the seat in a direction toward the seat; The target distance is determined based on the predicted impact force and the predicted deformation distance.

3. The seat control method according to claim 2, characterized in that: The determining the target distance based on the predicted impact force and the predicted deformation distance includes: Using the detected distance information as initial first distance information; If the predicted impact force is greater than or equal to a preset impact force threshold, and / or a first difference between the first distance information and the predicted deformation distance is less than or equal to a preset distance threshold, increasing the first distance information, and determining a new predicted impact force and a new predicted deformation distance based on the driving speed information, the new first distance information, and the anthropometric data, until the predicted impact force is less than the preset impact force threshold and the first difference is greater than the preset distance threshold; The first distance information corresponding to the predicted impact force being less than the preset impact force threshold and the first difference being greater than the preset distance threshold is determined as the target distance.

4. The seat control method according to claim 2, characterized in that: The determining, based on the driving speed information, the detection distance information, and the anthropometric data, of the predicted impact force on the occupant and the predicted deformation distance of the front structure corresponding to the seat in the direction of the seat includes: The driving speed information, the detection distance information and the anthropometric data are input into an impact force-deformation prediction model, and the impact force exerted on the occupant and the deformation of the front structure corresponding to the seat are predicted by the impact force-deformation prediction model, and the predicted impact force and the predicted deformation distance are output.

5. The seat control method according to claim 4, characterized in that: The impact force-deformation prediction model is a radial basis function network.

6. The seat control method according to any one of claims 1 to 5, characterized in that: After controlling the seat to move so that the distance between the seat and the corresponding front structure is the target distance, the method further includes: Obtaining information about the detonation time of the seat's airbag and tension information of the seat belt; determining a target detonation time of the airbag and a target tension of the seat belt based on the driving speed information, the target distance, the anthropometric data, the detonation time information, and the tension information; When a collision signal of the vehicle is received, the tension of the seat belt is adjusted to the target tension, and the airbag is deployed at the target deployment time.

7. The seat control method according to any one of claims 1 to 5, characterized in that: The anthropometric data is determined based on age data, gender data, and weight data of the occupant.

8. A seat control device, characterized in that: The seat is mounted on a vehicle, and the device comprises: an acquisition module, configured to acquire information on the vehicle's travel speed, information on a detection distance between the seat and a front structure corresponding to the seat in the vehicle, and anthropometric data of an occupant of the seat; a first processing module, configured to determine a target distance between the seat and the corresponding front structure based on the driving speed information, the detection distance information, and the anthropometric data; The second processing module is configured to control the seat to move so that the distance between the seat and the corresponding front structure becomes the target distance when a collision warning signal of the vehicle is received.

9. A seat, characterized in that: The seat comprises: A moving device connected to the control device according to claim 8, wherein the moving device is used to move the seat.

10. The seat according to claim 9, characterized in that Also includes: An airbag and a safety belt are provided on the seat body.

11. A vehicle, characterized in that: include: A seat as claimed in claim 9 or 10.

12. The vehicle according to claim 11, characterized in that Also includes: A user operation interface is used to receive user input and determine the anthropometric data in response to the user input.

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