Vehicle seat comfort optimization method and optimization system

Abstract

The invention provides a vehicle seat comfort optimization method and optimization system, and relates to the technical field of vehicle seat adjustment. The vehicle seat comfort optimization method comprises the steps that sitting posture test data of a test object are acquired, the sitting posture test data at least comprise static state data and driving state data, and the driving state data are seat stress data generated when the test object drives a vehicle in a simulated driving scene; the static state data is seat stress data generated when the test object is in a static state; determining a seat stress model based on the sitting posture test data; based on the seat stress model, a seat comfort optimization strategy is generated, and the seat comfort optimization strategy at least comprises one of a material optimization strategy, a softness optimization strategy and a seat contour optimization strategy. By means of the technical scheme, the angle and the supporting degree of the seat can be accurately adjusted so as to ensure that the comfort level of the seat can be improved, driving fatigue can be reduced, driving safety can be improved, and user experience can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of automobile seat adjustment, and in particular to a vehicle seat comfort optimization method and optimization system. Background Art

[0002] Car seats are an important ergonomic design that is directly related to the comfort and health of drivers and passengers. Reasonable and scientific ergonomic design can improve the comfort of drivers and passengers and reduce the damage to the body caused by long-term driving.

[0003] The shape and structural design of car seats are the basis of ergonomic design, which directly affects the sitting posture and waist and back support of the driver and passengers. A good seat design should conform to the natural curve of the human spine and provide sufficient support to relieve the pressure on the back. The back and cushion of the seat should be designed with ergonomic curves to provide the best support and comfort.

[0004] In the design stage, the existing car seats often use the built-in sensors of the human body model and the computer connection to reflect the most intuitive points of stress on the human body. Although this method can intuitively reflect the comfort level of the human body in each position of the seat, this method is only applicable to a single human body model and cannot take into account the differences in human body shape, driving habits and postures, and the data obtained is not comprehensive. In the prior art, a detection module is designed for the seat to detect the stress of each part of the seat, but the pressure of each part of the human body is collected by the pressure sensor to establish the model, which makes it difficult to accurately collect data on slightly concave parts such as the back spine groove, resulting in the neglect of this part of the structure in the final model, affecting the comfort of the final ergonomic seat.

[0005] Currently, no effective solution has been proposed for the above-mentioned technical problems. Summary of the invention

[0006] The main purpose of the present invention is to provide a vehicle seat comfort optimization method and optimization system to solve the problem in the prior art that it is difficult to accurately collect data on slightly depressed parts of the seat.

[0007] In order to achieve the above-mentioned purpose, according to one aspect of the present invention, a vehicle seat comfort optimization method is provided, comprising: obtaining sitting posture test data of a test subject, the sitting posture test data at least including static state data and driving state data, the driving state data being seat force data generated when the test subject drives a vehicle in a simulated driving scenario, and the static state data being seat force data generated when the test subject is in a static state; determining a seat force model based on the sitting posture test data; generating a seat comfort optimization strategy based on the seat force model, the seat comfort optimization strategy including at least one of the following: material optimization strategy, softness optimization strategy, seat contour optimization strategy.

[0008] Optionally, there are multiple test objects, and based on the sitting test data, a seat force model is determined, comprising the following steps: acquiring characteristic data of the multiple test objects, the characteristic data comprising at least one of the following: height and weight; based on the characteristic data, dividing the multiple test objects into multiple test object sets; based on the sitting test data, determining multiple seat force models, and setting the seat force models to the test object sets in one-to-one correspondence.

[0009] Optionally, a seat comfort optimization strategy is generated based on a seat force model, comprising the following steps: obtaining a seat basic model; generating a seat optimization model based on the seat basic model and multiple seat force models, wherein the seat optimization model is at least used to reflect an ideal state of the seat under force conditions; generating a seat comfort optimization strategy based on the seat optimization model.

[0010] Optionally, the seat force model includes at least multiple sets of force point data, the force point data include at least the force point position and the force point deformation value, the seat basic model includes at least the seat three-dimensional model, and based on the seat basic model and multiple seat force models, a seat optimization model is generated, including the following steps: based on the multiple sets of force point data, the seat three-dimensional model is annotated to generate a seat optimization model.

[0011] According to another aspect of the present invention, a vehicle seat comfort optimization system is provided. The vehicle seat comfort optimization system is controlled by the above-mentioned vehicle seat comfort optimization method, and includes: a test seat, the height and backrest angle of the test seat are adjustable; a sitting posture detection device, the sitting posture detection device is arranged on the test seat, the sitting posture detection device at least includes a sitting posture detection component, and the sitting posture detection component is used to detect the deformation of the test seat and generate a deformation signal; a data processing device, the data processing device is electrically connected to the sitting posture detection device, and the data processing device is at least used to generate a seat force model based on the deformation signal.

[0012] Furthermore, the vehicle seat comfort optimization system also includes: a simulated steering wheel, which is arranged adjacent to the test seat; and a simulated pedal, which is arranged adjacent to the test seat.

[0013] Furthermore, the sitting posture detection component includes a plurality of deformation detectors, which are arranged toward the seating surface of the test seat and are used to detect deformation of the seating surface.

[0014] Furthermore, the deformation detector includes: a detection shell, the detection shell has an active cavity with an opening at one end, and the side wall of the active cavity is provided with a resistor extending along the height direction of the active cavity; a detection column, the detection column is movably arranged along the height direction of the active cavity, and the first end of the detection column is connected to the active cavity through an elastic member, and the first end of the detection column is provided with a conductive member; during the movement of the detection column along the height direction of the active cavity, the resistance value of the resistor changes accordingly, and the resistance value of the resistor is used to generate a deformation signal.

[0015] Furthermore, the second end of the detection column is provided with a flexible portion, and the material of the flexible portion is the same as the surface material of the test seat.

[0016] Furthermore, a slide groove is provided on the side wall of the active cavity, the resistor is arranged in the slide groove, a slider is provided on the outer peripheral surface of the first end of the detection column, at least part of the slider extends into the slide groove, and the conductive member is arranged on the slider and contacts the resistor.

[0017] By applying the technical solution of the present invention, the sitting posture test data of the test object is obtained, and the sitting posture test data includes at least static state data and driving state data. The driving state data is the seat force data generated when the test object drives the vehicle in a simulated driving scenario, and the static state data is the seat force data generated when the test object is in a static state; based on the sitting posture test data, the seat force model is determined; based on the seat force model, a seat comfort optimization strategy is generated, and the seat comfort optimization strategy includes at least one of the following: material optimization strategy, softness optimization strategy, and seat contour optimization strategy. According to the actual force conditions of the test object in different states, a seat force model for the test object can be generated, and a seat comfort optimization strategy can be generated according to the seat force model, and the angle and support degree of the seat can be accurately adjusted to ensure that the seat comfort is improved, driving fatigue is reduced, driving safety is improved, and user experience is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The drawings constituting a part of the present application are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0019] Figure 1 A flow chart showing an embodiment of a vehicle seat comfort optimization method according to the present invention;

[0020] Figure 2 A schematic structural diagram of an embodiment of a vehicle seat comfort optimization system according to the present invention is shown;

[0021] Figure 3 A schematic structural diagram of an embodiment of a deformation detector according to the present invention is shown;

[0022] Figure 4 A flowchart of an embodiment of a vehicle seat comfort optimization method according to the present invention is shown;

[0023] Figure 5 A schematic structural diagram of an embodiment of a data processing device according to the present invention is shown.

[0024] The above drawings include the following reference numerals:

[0025] 1. Sitting posture detection device; 2. Test seat; 3. Sitting posture detection component; 4. Signal collector; 5. Detection shell; 50. Active cavity; 6. Slide groove; 7. Elastic part; 8. Detection column; 9. Slider; 10. Resistor; 11. Conductive part; 12. Simulated steering wheel; 13. Simulated pedal; 14. Adjustment device; 15. Flexible part. DETAILED DESCRIPTION

[0026] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0027] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present application. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprise" and / or "include" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0028] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the terms used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein, for example. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0029] Now, exemplary embodiments according to the present application will be described in more detail with reference to the accompanying drawings. However, these exemplary embodiments may be implemented in a variety of different forms and should not be construed as being limited to the embodiments described herein. It should be understood that these embodiments are provided to make the disclosure of the present application thorough and complete, and to fully convey the concepts of these exemplary embodiments to those of ordinary skill in the art. In the accompanying drawings, for the sake of clarity, the thickness of the layers and regions may be enlarged, and the same reference numerals are used to represent the same devices, and thus their descriptions will be omitted.

[0030] Combination Figure 1 As shown, according to a specific embodiment of the present application, a method for optimizing vehicle seat comfort is provided.

[0031] Specifically, the vehicle seat comfort optimization method comprises the following steps:

[0032] Step S10: Acquire sitting posture test data of the test subject, the sitting posture test data at least including static state data and driving state data, the driving state data is seat force data generated when the test subject drives a vehicle in a simulated driving scenario, and the static state data is seat force data generated when the test subject is in a static state;

[0033] Specifically, the sitting posture test data includes dynamic driving state data and static resting state data. When the test subject is in the driving state, he needs to drive by operating the driving console. The driving state data includes the dynamic pressure distribution of the seat, the sitting posture adjustment frequency of the test subject, and the subtle pressure changes of the seat caused by the test subject's body joint activities. When the test subject is in a resting state, the resting state data mainly includes the angle of static support for the operation, the degree of fit with the human body curve, and the pressure distribution of various parts.

[0034] Step S12: determining a seat force model based on the sitting posture test data;

[0035] Specifically, by collecting and processing the sitting posture test data, a mathematical model or a visual model of the seat force is established based on the processed data.

[0036] Step S14: Generate a seat comfort optimization strategy based on the seat force model. The seat comfort optimization strategy includes at least one of the following: material optimization strategy, softness optimization strategy, and seat contour optimization strategy.

[0037] Specifically, the material optimization strategy can optimize materials with different properties required for different areas of the seat to improve comfort and safety; the softness optimization strategy can make differentiated designs based on ergonomic principles to provide different or adjustable softness areas for different areas; the seat contour optimization strategy can dynamically adjust according to changes in sitting posture to provide multifunctional customization of work contours.

[0038] It should be noted that the seat comfort optimization strategy can integrate material optimization strategy, softness optimization strategy and seat contour optimization strategy to achieve the best comprehensive optimization effect, improve the ergonomic performance of the seat, provide testers with a more comfortable and healthy sitting experience, and also improve the driving safety of the vehicle.

[0039] Through the above steps, the sitting posture test data of the test object is obtained, and the sitting posture test data includes at least static state data and driving state data. The driving state data is the seat force data generated when the test object drives the vehicle in a simulated driving scenario, and the static state data is the seat force data generated when the test object is in a static state; based on the sitting posture test data, the seat force model is determined; based on the seat force model, a seat comfort optimization strategy is generated, and the seat comfort optimization strategy includes at least one of the following: material optimization strategy, softness optimization strategy, and seat contour optimization strategy. According to the actual force conditions of the test object in different states, a seat force model for the test object can be generated, and a seat comfort optimization strategy can be generated according to the seat force model, and the seat angle and support degree can be accurately adjusted to ensure that the seat comfort is improved, driving fatigue is reduced, driving safety is improved, and user experience is improved.

[0040] Optionally, in step S12, there are multiple test objects, and based on the sitting posture test data, determining the seat force model includes the following steps:

[0041] Step S121: Acquire characteristic data of multiple test subjects, the characteristic data including at least one of the following: height and weight;

[0042] Specifically, the test subjects are different individuals, and different sitting posture test data are generated for different characteristics of multiple different test subjects. The characteristic data is a data set used to analyze samples or attributes of different test subjects in the seat comfort optimization strategy. The characteristic data of different test subjects may also include characteristic data such as body shape, age, gender, and clothing material. In this embodiment, the characteristic data of multiple test subjects are analyzed to ensure that the seat design has a wide range of practical value, which can not only meet the needs of a wide range of people, but also be personalized for different people, so as to achieve the greatest common divisor of seat optimization.

[0043] Step S122: dividing the multiple test objects into multiple test object sets based on the feature data;

[0044] Specifically, there are multiple test object sets, and different test object sets are different feature data sets generated after dividing different feature data. The test object sets can be divided into multiple sets in stages according to height, weight and other feature data to classify and divide the feature data of all test objects, and then divide the sitting test data generated by multiple test objects.

[0045] Step S123: Based on the sitting posture test data, multiple seat force models are determined, and the seat force models are set in a one-to-one correspondence with the test object set.

[0046] Specifically, each test object generates a corresponding sitting posture test data, determines a seat force model, and classifies the seat force model determined by the test object according to the test object set. Finally, there are multiple seat force models corresponding to multiple test object sets. By analyzing the multiple seat force models in each test object set, an ergonomic seat that is more suitable for the test objects in this test object set can be designed.

[0047] Among them, each test subject is subjected to a driving state data sitting posture test and a static state data sitting posture test to collect complete sitting posture test data, which makes the determined seat force model more realistic and accurate, and provides stronger data support for the determination of subsequent seat comfort optimization strategies.

[0048] In this embodiment, multiple test subjects are divided into stages, for example, according to their height, with 5 cm as one stage, and the weight of the test subjects in each stage is recorded from the test subjects and recorded in the data processing device. Then, the sitting posture test data is carried out in batches according to the test subject sets at the division, and the seat force models are determined respectively, and multiple seat force models are recorded to facilitate subsequent data analysis of the seat force models.

[0049] Optionally, in step S14, a seat comfort optimization strategy is generated based on the seat force model, including the following steps:

[0050] Step S141: obtaining a basic seat model;

[0051] Specifically, the seat basic model is a main structural and dimensional basic model of the seat itself according to the ergonomic curve.

[0052] Step S142: generating a seat optimization model based on the seat basic model and the plurality of seat force models, wherein the seat optimization model is at least used to reflect an ideal state of the seat under a force condition;

[0053] Specifically, the seat force model is a model generated according to the characteristic parameters of the test object. Multiple seat force models are used to personalize the seat basic model to generate a seat optimization model. The seat optimization model is a seat model generated corresponding to the current test object set and suitable for the current test object set under ideal conditions.

[0054] Step S143: Generate a seat comfort optimization strategy based on the seat optimization model.

[0055] Specifically, the seat optimization model integrates the common optimization requirements in this test object set, and the generated seat comfort optimization strategy is the seat comfort optimization strategy in this test object set.

[0056] It should be noted that the seat optimization models generated by multiple test object sets can be further combined to generate a seat optimization model. The seat optimization model is based on the sitting posture test data of all test objects and is generated in combination with the seat basic model. A seat comfort optimization strategy is generated based on this seat optimization model, which can make the designed seats more ergonomic, meet the needs of a wide range of people, and improve seat comfort and safety.

[0057] Optionally, in step S142, the seat force model includes at least a plurality of groups of force point data, the force point data includes at least the force point position and the force point deformation value, the seat basic model includes at least the seat three-dimensional model, and generating a seat optimization model based on the seat basic model and the plurality of seat force models includes the following steps:

[0058] Step S1421: Based on multiple sets of force point data, the three-dimensional seat model is annotated to generate a seat optimization model.

[0059] Specifically, multiple groups of stress point data are collected from multiple groups of test objects, and the positions of the stress points are different from the deformation values ​​(force magnitudes) generated by the stress points. The stress point data are collected and analyzed to identify the commonalities and differences in the stress points, and the generated three-dimensional model is marked with the positions of the stress points and the force magnitudes of the stress points to generate a visual seat optimization model.

[0060] Among them, by marking the actual stress points and pressure values ​​on the 3D model, the stress conditions of the seat in different states can be reflected more accurately, problems in the seat design can be quickly identified, and effective improvements can be made based on the test user characteristics, improving the design efficiency and ensuring that the ergonomic snow performance of the seat is more scientific and accurate. At the same time, the marked seat optimization model can be stored, and in subsequent tests, the seat 3D model can be further marked based on the current seat optimization model to generate a new seat optimization model.

[0061] Combination Figure 2 , Figure 3As shown, according to another specific embodiment of the present application, a vehicle seat comfort optimization system is also provided, and the vehicle seat comfort optimization system is controlled by the above-mentioned vehicle seat comfort optimization method.

[0062] Specifically, Figure 2 As shown, the vehicle seat comfort optimization system includes a test seat 2, a sitting posture detection device 1 and a data processing device. The height and the seat back angle of the test seat 2 can be adjusted; the sitting posture detection device 1 is arranged on the test seat 2, and the sitting posture detection device 1 at least includes a sitting posture detection component 3, and the sitting posture detection component 3 is used to detect the deformation of the test seat 2 and generate a deformation signal; the data processing device is electrically connected to the sitting posture detection device 1, and the data processing device is at least used to generate a seat force model based on the deformation signal.

[0063] By applying the technical solution of this embodiment, the test subject only needs to sit on the test seat 2, adjust the height and backrest angle of the test seat 2 to a suitable position and angle for the test subject, and then take the most comfortable posture in the driving state and the static state. The sitting posture detection device 1 can automatically collect the sitting posture test data through the sitting posture detection component 3 based on the pressure position and deformation value generated by the test subject on the test seat 2, generate a deformation signal, and transmit the deformation signal to the data processing device for processing and analysis to generate the seat force model of the current test subject. The vehicle seat comfort optimization system can automatically detect and analyze the force condition of the seat, so that the designer can accurately understand the force condition and existing problems of the seat, and can design a more comfortable and safer seat to solve the problem.

[0064] In one embodiment of the present application, Figure 5 As shown, the data processing device includes a signal conversion module, a comparison and correction module and an image output module. The signal conversion module is used to convert the resistance value of the resistance signal sent by all deformation detectors to the signal collector 4 into the deformation value detected by each deformation detector; the comparison and correction module is used to compare the test data of all test objects to calculate the optimal seat point and value; the image output module projects the obtained optimal seat point and value onto a three-dimensional space image for reference of the designer's data.

[0065] Specifically, Figure 2 As shown, the vehicle seat comfort optimization system also includes a simulated steering wheel 12 and a simulated pedal 13. The simulated steering wheel 12 is arranged adjacent to the test seat 2; the simulated pedal 13 is arranged adjacent to the test seat 2. By arranging the simulated steering wheel 12 and the simulated pedal 13, the test subject can experience a more realistic simulated driving scene, and the force analysis of the seat can be more practical and accurate. When optimizing the design of the seat, the comfort and safety of the seat can be improved more specifically, and the efficiency and accuracy of the design and test can also be improved.

[0066] Furthermore, the sitting posture detection component 3 includes a plurality of deformation detectors, which are arranged toward the seating surface of the test seat 2, and are used to detect the deformation of the seating surface. The test subject generates pressure on the test seat 2, thereby causing the seating surface of the test seat 2 to deform. The deformation detector can monitor the deformation magnitude of the seating surface by contacting the body of the test subject, and the deformation detector can determine the magnitude of the pressure according to the magnitude of the deformation magnitude. And since the plurality of deformation detectors are set at different positions, the pressure generated by the test subject at different positions of the test seat 2 can generate different deformation magnitudes, thereby realizing the comfort optimization design of the seating surface of the entire test seat 2. For example, for the position where the deformation detector generates a large deformation magnitude, it can be determined that this is the main stress point of the test subject, and this position can be set with a material with stronger support and the surrounding contour can be optimized.

[0067] In this embodiment, when the test subject sits on the test seat 2, the direct contact situations between various parts of the body and the seating surface of the test seat 2 can be divided into three types, namely, no contact, contact force and just contact part. When there is no contact, the pressure is zero, when there is just contact, the deformation value is very small, and the deformation value of the contact force part is large. Since the deformation value is an irregular quantity at multiple points, it is relatively complicated to directly measure the deformation value. The deformation values ​​at multiple positions are collected by a deformation detector to obtain the main position and size of the force point, the pressure size is determined by the size of the deformation value, the stress concentration point is obtained, and the softness parameters of the seat are set for the stress concentration point.

[0068] Specifically, Figure 3 As shown, the deformation detector includes a detection shell 5 and a detection column 8, the detection shell 5 has an active cavity 50 with an opening at one end, and the side wall of the active cavity 50 is provided with a resistor 10 extending along the height direction of the active cavity 50; the detection column 8 is movably arranged along the height direction of the active cavity 50, and the first end of the detection column 8 is connected to the active cavity 50 through an elastic member 7, and the first end of the detection column 8 is provided with a conductive member 11; during the movement of the detection column 8 along the height direction of the active cavity 50, the resistance value of the resistor 10 changes accordingly, and the resistance value of the resistor 10 is used to generate a deformation signal. In this way, accurate detection can be achieved through a simple structure and convenient operation. After the detection column 8 is subjected to pressure, it moves along the height direction of the active cavity 50, causing the resistance of the resistor 10 to change, and then the conductive member 11 generates a current change according to the change in the resistance value of the resistor 10, resulting in a change in the deformation signal, which can represent the different pressures applied to the deformation detector. The setting of the elastic member 7 can realize the elastic reset of the detection column 8. When the pressure applied to the detection column 8 is removed, based on the restoring force of the elastic member 7, the detection column 8 is reset to the initial state (the elastic member 7 returns to the natural state) to facilitate the next test subject to perform a sitting test.

[0069] Furthermore, if Figure 3 As shown, the second end of the detection column 8 is provided with a flexible portion 15, and the material of the flexible portion 15 is set to be the same as the surface material of the test seat 2. By providing the flexible portion 15 and setting the material of the flexible portion 15 to be the same as the surface material of the test seat 2, a more realistic simulation of the pressure distribution of the human body on the seat can be ensured, the detection accuracy is improved, and the experience of the test subject is also improved.

[0070] Furthermore, a slide groove 6 is provided on the side wall of the active cavity 50, and the resistor 10 is arranged in the slide groove 6. A slider 9 is provided on the outer peripheral surface of the first end of the detection column 8, and at least part of the slider 9 extends into the slide groove 6. The conductive member 11 is arranged on the slider 9 and contacts the resistor 10. When the detection column 8 moves in the active cavity 50, the detection column 8 drives the slider 9 to slide in the slide groove 6, thereby changing the contact point between the conductive member 11 and the resistor 10, so that the resistance value of the resistor 10 connected to the circuit changes, so that the deformation signal generates different currents, and the different characteristics of the test object are distinguished. At the same time, such a setting can also ensure the stable contact between the resistor 10 and the conductive member 11, ensure the accurate generation of the deformation signal, and improve the reliability of the vehicle seat comfort optimization system.

[0071] In one embodiment of the present application, when various parts of the body of the test subject come into contact with the deformation detector, the detection column 8 on each deformation detector presses down the elastic member 7 along the active cavity 50 due to the force. At this time, the conductive member 11 on the slider 9 cooperates with the resistor 10 under the drive of the slider 9. The resistance of the resistor 10 is a material whose resistance changes linearly with the change of its own length. At the same time, the conductive member 11 and the resistor 10 are electrically connected to the data processing device. The function of detecting the deformation condition of the point is realized by connecting the resistance value signal of the circuit part of the resistor 10, and the pressure value is converted into a length value, which is more intuitive and convenient for subsequent data analysis.

[0072] By using the vehicle seat comfort optimization system in the above-mentioned embodiment, accurate data collection can be performed on slightly concave parts such as the back spinal groove. The sitting posture detection device 1 is used to detect whether various parts of the test subject's body are close to the sitting posture detection component 3. Subsequently, a seat force model is established based on the pressure of various parts of the human body collected by the sitting posture detection device 1 after the human body sits down. Accurate data collection is performed on the concave parts of the seating surface of the test seat 2. At the same time, the deformation detector collects this data and sends it to the data processing device, which calculates and outputs the data.

[0073] The present application also provides a preferred embodiment of a vehicle seat comfort optimization system.

[0074] Specifically, the vehicle seat comfort optimization system includes a sitting posture detection device 1 and a data processing device. The sitting posture detection device and the data processing device are signal-connected. The sitting posture detection device 1 includes a test seat 2, a sitting posture detection component 3 and a signal collector 4. The sitting posture detection components 3 are distributed throughout the seating surface of the test seat 2, and all sitting posture detection components 3 are facing the user's seating direction. The signal collector is fixedly connected to the middle part of the seat back of the test seat 2, and the sitting posture detection components 3 are connected to the signal collector 4.

[0075] The sitting posture detection component 3 includes a plurality of deformation detectors, which are cylindrical in shape. A slide groove 6 is opened on the inner side wall of the deformation detector. An elastic member 7 is fixedly connected to the inner bottom wall of the deformation detector. A detection column 8 is fixedly connected to the other end of the elastic member 7. A flexible portion 15 made of the same material as the surface of the test seat 2 is provided at one end of the detection column 8 away from the elastic member 7. A slider 9 corresponding to the slide groove 6 is welded to the bottom of the detection column 8, and the slider 9 is vertically slidably matched with the slide groove 6.

[0076] A resistor 10 is welded inside the slide groove 6. The resistor 10 is made of a material whose resistance can change along with its length. A conductive part 11 is welded on the middle of the outer side of the slider 9 on the detection column 8. The conductive part 11 and the resistor 10 are vertically slidably frictionally matched. Both the conductive part 11 and the resistor 10 are electrically connected to the signal collector 4.

[0077] A simulated steering wheel 12 is bolted fixedly connected to the front side of the test seat 2, a simulated pedal 13 is bolted fixedly connected to the lower side of the simulated steering wheel 12, and an adjustment device 14 is bolted fixedly connected to the right side of the test seat 2. The adjustment device 14 can adjust the height and backrest angle of the test seat 2.

[0078] The specific implementation process of the vehicle seat comfort optimization system in the above embodiment is as follows:

[0079] The test subject sits on the test seat 2 twice according to his personal driving habits. During the test, the test subject first uses the adjustment device 14 to adjust the position of the test seat 2 to the best. When the test subject sits still on the test seat 2 according to his personal driving habits, the body parts are directly in contact with the deformation detectors on the sitting posture detection component 3. When the body parts are in contact with the deformation detectors, the detection columns 8 on each deformation detector are pressed downward due to the force. Because the slider 9 and the slide groove 6 are vertically slidably matched, the detection column 8 drives the elastic member 7 at the bottom thereof to deform. At this time, the conductive member 11 on the slider 9 slides. Driven by the block 9, it also vertically slides with the resistor 10 on the slide slot 6. Since the resistance of the resistor 10 is a material whose resistance changes linearly with its own length, and the conductive member 11 and the resistor 10 are electrically connected to the signal collector 4, when the conductive member 11 slides vertically, the length of the circuit part where the conductive member 11 and the resistor 10 are connected to the signal collector 4 changes linearly, so the resistance of the resistor 10 also changes linearly. At this time, the signal collector 4 collects the resistance value signal of the resistor 10 connected to the circuit part to realize the deformation detection function of this point.

[0080] It can be seen from the above embodiments that the vehicle seat comfort optimization system has the following beneficial effects:

[0081] 1) The sitting posture detection device 1 collects the pressure of various parts of the human body to establish a model, and accurately collects data on slightly concave parts such as the back spine groove. At the same time, an intelligent data processing device is also provided to automatically process and analyze the data to obtain the results, thereby reducing manual analysis of the data and alleviating the burden on the staff.

[0082] 2) Use a deformation detector to measure the deformation of the seat and find the stress concentration point. The optimization parameters can be designed for the stress concentration point. This is more intuitive than directly measuring the deformation value. By setting the elastic part 7, the seat can be restored to its original state after detection without the need for staff to adjust.

[0083] 3) A simulated steering wheel 12 is provided on the front side of the test seat 2, and a simulated pedal 13 is provided on the lower side of the simulated steering wheel 12. In real situations, the driver usually adjusts the height and angle of the seat before driving the vehicle to obtain the best driving feeling. Adding the simulated steering wheel 12 and the simulated pedal 13 can further simulate the real scene, making the test results more accurate and realistic, and facilitating subsequent data analysis.

[0084] The present application also provides a preferred embodiment of a vehicle seat comfort optimization method, combining Figure 4 As shown, the vehicle seat comfort optimization method includes the following steps:

[0085] Step 1: Crowd segmentation: classify the physical information of the test subjects and record it in the data processing device;

[0086] Among them, the height and weight information of multiple test subjects are collected by inquiry survey or questionnaire survey, and the test subjects are divided into stages according to their height, for example, 5 cm is one stage. The weight of the test subjects in each stage is then recorded from the test subjects and recorded in the data processing device to summarize the height and weight data before the test.

[0087] Step 2: Data collection and conversion. All test subjects are tested on the sitting posture detection device 1. The test simulates the real driving situation. The signal conversion module converts the pressure data corresponding to each part of the test subject on the test seat 2 into deformation data. After the test is completed, the data processing device organizes and collects the data.

[0088] Among them, after the deformation data is collected, the data conversion model directly converts the deformation data into a three-dimensional seat stress diagram and automatically marks the denser areas with high stress and the denser areas with zero stress.

[0089] Step 3: Comparison and error correction: the data processing device compares the test objects classified in the population division in step 1 by category, eliminates large errors and calculates the mean, and uses the mean as the optimal value and optimal position;

[0090] Among them, since the test subjects in the same stage are not tall, the height variable is directly excluded for comparison of the weight variable. Based on the different weights of the test subjects (the weight difference is not large), the stresses generated by the corresponding tests are also different. The data processing device automatically calculates the median of pressure and distance at different stress points, eliminates the points and values ​​with the largest errors, and the obtained value is the most average stress value at that point and is marked and recorded on the three-dimensional image of the test seat 2.

[0091] Step 4: The data processing device sets the optimal position and the optimal value on the three-dimensional seat image respectively.

[0092] Among them, after the completion of step three, the data processing device marks the stress median and point positions at the places where the stress is relatively dense, and the optimal position of the uncontacted point on the three-dimensional image of the test seat 2, and then performs phased comparison and calculation according to the age stages of the population divided in step one. At this time, due to the different height stages, the device performs step three again to obtain the stress median and point positions at a place where the stress is relatively dense and the optimal position of the uncontacted point for all test objects, and then the data processing device marks the point positions and values ​​of the two points on a new three-dimensional space image of the test seat 2, and this image is the final output result.

[0093] In this embodiment, the point where the stress is relatively dense represents the part of the body where the test subject applies pressure to the test seat 2, and therefore also represents the part of the test seat 2 that is depressed by the force. Since the point and value of this point are the optimal point and value calculated by the data processing device based on the test data of all test subjects, and are the optimal point and value suitable for the general public, the designer can refer to the distribution of the point and value on the three-dimensional test seat 2 diagram to design parameters such as the material, softness, and outer contour of the point. Similarly, a point with zero stress represents zero pressure at this point, and therefore also represents a part where the point and the test subject and the test seat 2 are not in contact or have just been in contact. At this time, the designer can consider adding a raised part there to highlight this part of the user. Since this point is also an optimal point calculated by the data processing device for the test data of all test subjects, the designer can refer to the distribution of the point and value on the three-dimensional test seat 2 diagram to design an outer contour of the raised part.

[0094] For ease of description, spatially relative terms such as "above", "above", "on the upper surface of", "above", etc. may be used here to describe the spatial positional relationship between a device or feature and other devices or features as shown in the figure. It should be understood that spatially relative terms are intended to include different orientations of the device in use or operation in addition to the orientation described in the figure. For example, if the device in the accompanying drawings is inverted, the device described as "above other devices or structures" or "above other devices or structures" will be positioned as "below other devices or structures" or "below other devices or structures". Thus, the exemplary term "above" can include both "above" and "below". The device can also be positioned in other different ways (rotated 90 degrees or in other orientations), and the spatially relative descriptions used here are interpreted accordingly.

[0095] In addition to the above, it should be noted that "one embodiment", "another embodiment", "embodiment", etc. mentioned in this specification refer to the specific features, structures or characteristics described in conjunction with the embodiment included in at least one embodiment generally described in this application. The same expression appearing in multiple places in the specification does not necessarily refer to the same embodiment. Further, when describing a specific feature, structure or characteristic in conjunction with any embodiment, it is claimed that the realization of such feature, structure or characteristic in conjunction with other embodiments also falls within the scope of the present invention.

[0096] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0097] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A vehicle seat comfort optimization method, characterized in that: include: Acquire sitting posture test data of the test subject, the sitting posture test data at least including static state data and driving state data, the driving state data being seat force data generated when the test subject drives a vehicle in a simulated driving scenario, and the static state data being seat force data generated when the test subject is in a static state; Determining a seat force model based on the sitting posture test data; Based on the seat force model, a seat comfort optimization strategy is generated, and the seat comfort optimization strategy includes at least one of the following: a material optimization strategy, a softness optimization strategy, and a seat contour optimization strategy.

2. The method according to claim 1, characterized in that There are multiple test objects, and based on the sitting posture test data, determining a seat force model includes the following steps: Acquire characteristic data of a plurality of the test subjects, wherein the characteristic data includes at least one of the following: height and weight; Based on the feature data, the plurality of test objects are divided into a plurality of test object sets; Based on the sitting posture test data, a plurality of seat force models are determined, and the seat force models are arranged in a one-to-one correspondence with the test object set.

3. The method according to claim 2, characterized in that Based on the seat force model, a seat comfort optimization strategy is generated, including the following steps: Get the seat base model; Generate a seat optimization model based on the seat basic model and the plurality of seat force models, wherein the seat optimization model is at least used to reflect an ideal state of the seat under force conditions; Based on the seat optimization model, the seat comfort optimization strategy is generated.

4. The method according to claim 3, characterized in that The seat force model at least includes multiple groups of force point data, the force point data at least includes the force point position and the force point deformation value, the seat basic model at least includes a seat three-dimensional model, and generating a seat optimization model based on the seat basic model and the multiple seat force models includes the following steps: Based on the multiple groups of force point data, the three-dimensional model of the seat is annotated to generate the seat optimization model.

5. A vehicle seat comfort optimization system, characterized in that: The vehicle seat comfort optimization system is controlled by the vehicle seat comfort optimization method according to any one of claims 1 to 4, comprising: A test seat (2), wherein the height and the backrest angle of the test seat (2) are adjustable; A sitting posture detection device (1), the sitting posture detection device (1) being arranged on the test seat (2), the sitting posture detection device (1) comprising at least a sitting posture detection component (3), the sitting posture detection component (3) being used to detect deformation of the test seat (2) and generate a deformation signal; A data processing device, the data processing device is electrically connected to the sitting posture detection device (1), and the data processing device is at least used to generate a seat force model based on the deformation signal.

6. The vehicle seat comfort optimization system according to claim 5, characterized in that: The vehicle seat comfort optimization system further includes: a simulated steering wheel (12), the simulated steering wheel (12) being arranged adjacent to the test seat (2); A simulation pedal (13), wherein the simulation pedal (13) is arranged adjacent to the test seat (2).

7. The vehicle seat comfort optimization system according to claim 5, characterized in that: The sitting posture detection component (3) comprises a plurality of deformation detectors, the deformation detectors being arranged toward the seating surface of the test seat (2), and the deformation detectors being used to detect the deformation of the seating surface.

8. The vehicle seat comfort optimization system according to claim 7, characterized in that: The deformation detector comprises: A detection housing (5), the detection housing (5) having an active cavity (50) with an opening at one end, the side wall of the active cavity (50) being provided with a resistor sheet (10) extending in a height direction of the active cavity (50); A detection column (8), wherein the detection column (8) is movably arranged along the height direction of the movable cavity (50), and a first end of the detection column (8) is connected to the movable cavity (50) via an elastic member (7), and a conductive member (11) is arranged at the first end of the detection column (8); During the movement of the detection column (8) along the height direction of the active cavity (50), the resistance value of the resistor (10) changes accordingly, and the resistance value of the resistor (10) is used to generate the deformation signal.

9. The vehicle seat comfort optimization system according to claim 8, characterized in that: The second end of the detection column (8) is provided with a flexible portion (15), and the material of the flexible portion (15) is the same as the surface material of the test seat (2).

10. The vehicle seat comfort optimization system according to claim 8, characterized in that: The side wall of the active cavity (50) is provided with a slide groove (6), the resistor (10) is arranged in the slide groove (6), the outer peripheral surface of the first end of the detection column (8) is provided with a slider (9), at least part of the slider (9) extends into the slide groove (6), and the conductive member (11) is arranged on the slider (9) and contacts the resistor (10).

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