Adaptive adjustment of a seat and method for adjusting a seat

Abstract

The application discloses a self-adaptive adjusting seat and a seat adjusting method, which comprise a supporting mechanism, a posture sensing unit and a self-adaptive adjusting mechanism. The posture sensing unit is used for acquiring the sitting posture data of a user in real time; the self-adaptive adjusting mechanism comprises an electric control unit and a damping adjusting unit, which are respectively used for providing a displacement driving force of the supporting mechanism and changing a dynamic supporting force of the supporting mechanism by adjusting damping characteristics. The damping adjusting unit adjusts the dynamic damping characteristics by using a magneto-rheological damping adjusting component and / or a valve type damping adjusting component based on a posture self-adaptive coefficient. The posture change characteristics of the user are acquired in real time by the sensor of the posture sensing unit, a control instruction is output by using an algorithm model, and a valve type and / or a magneto-rheological damper is adopted, so that the high-precision and millisecond-level rapid adaptive adjustment of the seat supporting damping value is realized, and the technical defects of the traditional mechanical linkage seat adjustment lag and the inability to dynamically adapt the damping to individual differences are solved.

Description

Technical Field

[0001] This application relates to the field of ergonomic smart seat technology, specifically to an adaptive adjustable seat and a seat adjustment method. Background Technology

[0002] With the popularization of smart homes and ergonomic concepts, the comfort and health support performance of seats have become the core focus of seat research and development. As a result, ergonomic smart seats have emerged, and their research and development direction has shifted from simple static support to dynamic intelligent adaptation. Summary of the Invention

[0003] The technical problem this application aims to solve is how to achieve the dynamic adaptive adjustment function of an ergonomic intelligent seat.

[0004] According to the first aspect, this application provides an adaptive adjustable seat, including:

[0005] The posture sensing unit is used to acquire user sitting posture data, including force sensors, displacement sensors, angle sensors and / or image sensors;

[0006] Support mechanisms for supporting a user’s hips, back, head, waist and / or legs, including a chassis, backrest, headrest, lumbar support and / or leg rest;

[0007] An adaptive adjustment mechanism is used to adjust the support mechanism according to the user's sitting posture data so as to fit the user's contact area;

[0008] The adaptive adjustment mechanism includes an electronic control unit and a damping adjustment unit;

[0009] The electronic control unit is used to provide a driving force to adjust the displacement of the support mechanism according to the attitude adaptation coefficient;

[0010] The damping adjustment unit is used to adjust the damping value of the support mechanism according to the posture adaptation coefficient; wherein, the posture adaptation coefficient is obtained based on the user's sitting posture data and is used to adjust the actuation intensity of the damping adjustment unit, and the damping adjustment unit uses a magnetorheological damping adjustment component and / or a valve-type damping adjustment component to adjust the damping value. In one embodiment, the adaptive adjustable seat further includes:

[0011] The central control unit is connected to the posture sensing unit and the electrical control unit, respectively. It is used to control the damping adjustment unit to drive the support mechanism to conform to the user's back, head and / or waist based on the user's sitting posture data obtained by the posture sensing unit and through the electrical control unit. The central control unit is also used to adjust the posture adaptation coefficient based on the user's sitting posture data and / or the change in user's sitting posture data obtained by the posture sensing unit, so as to dynamically adjust the damping value of the support mechanism through the damping adjustment unit.

[0012] In one embodiment, the central control unit applies a preset AI mapping model and / or reinforcement learning model and / or behavior prediction model to obtain the posture adaptation coefficient based on multi-parameter linkage matching calculation of the user's sitting posture data.

[0013] In one embodiment, the adaptive adjustable seat further includes:

[0014] A human-machine interaction unit, connected to the central control unit, is used to interact with the central control unit through a human-machine interface, so as to adjust and set the posture of the support mechanism and / or adjust the working state of the mechanism through the central control unit.

[0015] In one embodiment, when the damping adjustment unit includes a magnetorheological damping adjustment component, the magnetorheological damping adjustment component adjusts the damping value according to the posture adaptive coefficient. The damping value is generated by regulating the rheological properties of the internal damping medium through a viscosity electronic control signal, so that the support mechanism is linked to the user's sitting posture and / or the change in the user's sitting posture. When the damping adjustment unit includes a valve-type damping adjustment component, the valve-type damping adjustment component adjusts the damping value according to the posture adaptive coefficient. The damping value is continuously adjustable or self-locking by regulating the valve opening through a valve port electronic control signal.

[0016] In one embodiment, when the damping adjustment unit includes a magnetorheological damping adjustment component and a valve-type damping adjustment component, the damping adjustment unit adjusts the damping value according to the attitude adaptive coefficient. The damping value is generated by regulating the rheological properties of the internal damping medium through a viscosity electronic control signal and / or by regulating the valve opening through a valve port electronic control signal.

[0017] According to a second aspect, one embodiment of this application provides a seat adjustment method applied to an adaptive adjustable seat as described in the first aspect, comprising:

[0018] Obtain the user's sitting posture;

[0019] The user's sitting posture adjustment support mechanism conforms to the user's buttocks, back, head, waist and / or legs;

[0020] After fitting, the posture adaptation coefficient is adjusted according to the user's sitting posture and / or changes in sitting posture to dynamically adjust the user's fitting comfort.

[0021] In one embodiment, the seat adaptive adjustment method further includes:

[0022] Under a preset triggering condition, the initial position signal of the support mechanism is acquired, and the initial position signal is compared with a preset zero position parameter to obtain the deviation value between the two.

[0023] The attitude adaptation coefficient is compensated and corrected based on the deviation value.

[0024] In one embodiment, the preset triggering condition is a zero-position calibration command output by the central control unit or a manual zero-position calibration signal output by the human-machine interaction unit.

[0025] The central control unit includes a wireless connection module, which is used to wirelessly connect with the mobile terminal and send and receive the zero-position calibration command; the human-machine interaction unit includes a zero-position calibration button, which is used to output the manual zero-position calibration signal.

[0026] In one embodiment, the central control unit sends a self-locking signal based on the user's sitting posture and / or the change in sitting posture. The magnetorheological damping adjustment component and / or the valve damping adjustment component adjust the rheological properties of the damping medium and / or control the valve opening based on the self-locking signal, thereby achieving self-locking of the support mechanism by locking the damping value.

[0027] According to the adaptive adjustable seat disclosed in the embodiments of this application, by using magnetorheological damping adjustment components and / or valve-type damping adjustment components, the defects of large inertia and slow response of traditional mechanical transmission are overcome by utilizing magnetorheological effect or fluid throttling principle, and millisecond-level dynamic response of damping characteristics and decoupling of damping force can be achieved.

[0028] Furthermore, the seat not only allows for stepless adjustment of its position (support mechanism), but also enables independent control of the "hardness" (damping characteristics) of the support system. When the user's posture changes rapidly, the system can provide a millisecond-level response to sudden changes in damping force, effectively eliminating the lag and impact caused by mechanical adjustments and significantly improving the matching degree of dynamic support.

[0029] Furthermore, in this embodiment of the application, a closed-loop control system for dynamic adaptive adjustment of the seat is constructed based on multi-dimensional perception and AI decision-making, adopting a full-link closed-loop architecture of sensing, AI decision-making, and execution control. The posture sensing unit captures multi-dimensional data such as the human body's backward tilt angle, angular velocity, and center of gravity distribution in real time. The central control unit uses an AI mapping model or reinforcement learning model to obtain posture adaptation coefficients, thereby accurately predicting the user's support needs. This allows the seat to adapt to different users' weights, sitting habits, and usage scenarios, achieving an intelligent leap from people adapting to chairs to chairs adapting to people. Attached Figure Description

[0030] Figure 1 A schematic diagram showing the corresponding curves of damping force provided by a backrest and the adjustment angle of the backrest;

[0031] Figure 2 This is a schematic diagram illustrating the control and function of an adaptive adjustable seat in one embodiment.

[0032] Figure 3 This is a three-dimensional structural diagram of an adaptive adjustable seat in one embodiment;

[0033] Figure 4 This is a chassis structure diagram of an adaptive adjustable seat in one embodiment;

[0034] Figure 5 This is a diagram of the internal structure of the chassis of an adaptive adjustable seat in one embodiment;

[0035] Figure 6 This is a schematic cross-sectional view of the magnetorheological damping adjustment component in one embodiment;

[0036] Figure 7 This is a schematic cross-sectional view of a valve-type damping adjustment component in one embodiment;

[0037] Figure 8 This is a schematic cross-sectional view of a composite damping adjustment component combining magnetorheology and valves in one embodiment.

[0038] Figure 9 This is a flowchart illustrating a seat adjustment method in one embodiment;

[0039] Figure 10 This is a schematic diagram of the entire process control logic for dynamic adaptive adjustment in one embodiment;

[0040] Figure 11 This is a schematic diagram showing the corresponding curves of the damping force provided by the backrest and the adjustment angle of the backrest during the stretching process in one embodiment. Detailed Implementation

[0041] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0042] It should be noted that when a component is referred to as being "fixed to" or "set on" another component, it can be directly or indirectly attached to that other component. When a component is referred to as being "connected to" another component, it can be directly or indirectly connected to that other component. The term "connection" or "linkage" as used in this application, unless otherwise expressly stated, includes both physical connections in mechanical structures and electrical connections (wired or wireless) as well as data communication connections.

[0043] Furthermore, the terms "first," "second," etc., used in this specification and claims are merely for distinguishing similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein.

[0044] It should be specifically noted that the "unit," "module," or "mechanism" (such as central control unit, damping adjustment unit) mentioned in this application can be implemented in the form of hardware circuits (such as ASIC, FPGA), firmware, software programs running on general-purpose processors, or combinations thereof. For those skilled in the art, any improvements and modifications made to the above embodiments without departing from the principles of this invention should also be considered within the scope of protection of this invention.

[0045] To improve the user experience and comfort of chairs, traditional ergonomic chairs rely on mechanical structures, shape design, and material elasticity to adjust support components through fixed or manual adjustments. Due to their simple structure, they are highly reliable, but they have drawbacks such as fixed support positions (unable to follow changes in human posture), reliance on repeated manual adjustments by the user (low adaptation efficiency, for example, different heights, weights, and sitting postures require multiple fine adjustments, and most users do not have the fine-tuning skills, resulting in a significant reduction in actual support effect), inability to adapt to dynamic work scenarios (modern people frequently change sitting postures, and the static structure is always in a state of "partial fit and partial suspension", which can easily lead to fatigue over a long period of time), and insufficient personalized function settings (unable to automatically match according to weight, pelvic width, and spinal curvature, and can only roughly adapt by adjusting the settings).

[0046] The core technologies of dynamic adaptation in ergonomic smart chairs are posture recognition, support adjustment, and dynamic tracking. Current posture recognition uses seat pressure sensors and simple gyroscopes, which can only roughly determine a user's forward or backward leaning posture. It has poor accuracy in recognizing side sitting, leg crossing, body twisting, and shifts between shallow and deep sitting, and is easily affected by environmental interference (e.g., clothing or slight swaying of the sitting posture can easily trigger false adjustments). Current support adjustment is executed sequentially through sensor sampling, algorithm calculation, and motor / pump, resulting in delays (the chair only starts moving after the user has changed posture), large adjustment steps, and / or fixed speeds. This causes the seat to be inconsistently firm and uncomfortable, reducing comfort and failing to achieve "seamless following," instead creating a sense of disturbance. One reason is the limited support methods, leading to coarse force control; another is the weak generalization ability of adaptive algorithms (mostly fixed rule control (if-else), resulting in significant differences in adaptation effects for people of different heights, weights, and spinal curvatures, failing to learn user habits, and not achieving a "more comfortable fit over time"). Current ergonomic smart chairs still face several shortcomings in addressing the aforementioned deficiencies. These include reliability and lifespan issues due to structural complexity (e.g., air pumps and airbags are prone to leakage and generate significant noise; multi-motor structures have a high failure rate; sensors drift and lose accuracy after long-term use; high maintenance costs and low modularity), power consumption and battery life issues (e.g., high power consumption during continuous sampling and real-time adjustment; strong constraints with wired connections and short battery life with wireless models; poor standby power consumption control, leading to frequent charging and impacting the user experience), and a lack of coordination with overall body posture (e.g., only adjusting the backrest and lumbar support without linking to seat cushion tilt, armrest height, or headrest position; no coordination with office equipment such as height-adjustable desks and monitor stands).

[0047] The following uses the backrest support provided by a seat as an example to describe the shortcomings in the force control of existing smart seat support adjustment, specifically including:

[0048] When the backrest damping force is provided by a mechanical spring structure, the adjustment angle of the backrest generally ranges from 90° (upright) to 180° (reclining). The curve corresponding to the damping force and the backrest angle increases non-linearly, and can be roughly divided into three regions: small angle, medium angle, and large angle. In the small angle stage (90° to 120°), the damping increase is gradual (torsion spring / coil spring preload); in the medium angle stage (120° to 150°), the damping increases rapidly (spring stretching / torsion intensifies); and in the large angle stage (150° to 180°), the damping tends to saturate / increase sharply (mechanical limit or spring nearing full travel). Please refer to [reference needed]. Figure 1This is a schematic diagram showing the corresponding curves of the damping force provided by a backrest and the backrest adjustment angle. The corresponding curves are approximately quadratic or exponential curves overall. The corresponding curve of the damping force provided by the mechanical spring structure is relatively fixed, and after long-term use, the corresponding curve will undergo irreversible deformation due to mechanical fatigue (spring decay, decrease in locking force, loosening or automatic sliding). It cannot adapt to different weights / preferences, and is too non-linear (too light at small angles, too heavy at large angles, uneven adjustment effort). In particular, the hysteresis and jamming (slow response speed, low adjustment accuracy) and the resulting non-coincidence of the curves of the tilting and returning processes are the biggest defects and shortcomings of the mechanical spring structure.

[0049] When the backrest damping force is provided by a motor servo structure, the curve corresponding to the damping force and the backrest angle is the same as that of a mechanical spring structure. The damping force is positively correlated with the backrest angle (the larger the angle, the higher the basic damping). However, an additional adaptive adjustment by electronic control is added. For example, the damping force can be adjusted according to weight / sitting posture (low damping for lighter weight, high damping for heavier weight), according to adjustment speed (high damping for fast adjustment to prevent impact, low damping for slow adjustment to reflect smoothness), and according to the scene (moving or stationary state). The core of the motor servo structure is to improve the dynamic matching degree by precisely controlling the multi-phase stepper motor. It is slightly stronger than the mechanical spring structure. However, due to its long electrical control link and large mechanical transmission clearance, it still has problems such as dynamic response lag and weak high-frequency tracking ability. At the same time, affected by transmission error, friction fluctuation and load change, the damping torque adjustment accuracy is low, the small damping control is unstable, and the steady-state error is obvious, making it difficult to achieve smooth and precise adaptive damping support.

[0050] As mentioned above, the core pain point of the current ergonomic smart seats involving dynamic adaptation of support force is the lag, stiffness, and insufficient precision in adjustment. The adaptive adjustment seat provided in this application embodiment uses magnetorheological damping adjustment components and valve-type damping adjustment components to adjust the damping value. Since it does not go through gears or worm gears, there is no backlash, no idle travel, and no jamming. There will be no motor start-stop impact, reversing dead zone, or torque fluctuation. The adjustment is more delicate and closer to ergonomic needs. Even under extreme conditions such as collision, rapid acceleration, and rapid deceleration, it can still provide stable support accurately and quickly.

[0051] Example 1:

[0052] Please refer to Figure 2This is a schematic diagram illustrating the control and functional principle of an adaptive adjustable seat in one embodiment. The adaptive adjustable seat includes a central control unit 3, a posture sensing unit 4, an adaptive adjustment mechanism 1, a support mechanism 2, and a human-computer interaction unit 5. The support mechanism 2 is a general term for the seat's human body support components, used to support the user's buttocks, back, head, waist, and / or legs. It includes at least a chassis and a backrest, and further includes a headrest, lumbar support, and / or leg rest mounted on the adaptive adjustable seat. The posture sensing unit 4 is connected to the central control unit 3 and is used to acquire user sitting posture data through at least one sensor. The sensor types in the posture sensing unit 4 include, but are not limited to, force sensors, displacement sensors, image sensors, and angle sensors. The force sensor is used to feed back pressure signals to the central control unit 3, the displacement sensor is used to feed back displacement signals to the central control unit 3, and the angular velocity sensor is used to feed back angle signals to the central control unit 3. In one embodiment, the force sensor includes a pressure sensor. The displacement sensor includes a displacement sensor, a position sensor, an infrared sensor, and / or an image sensor. The angle sensor includes a gyroscope and / or a Hall sensor. The displacement sensor is used to detect linear and / or curvilinear displacement, and the angle sensor is used to detect rotation and / or tilt angles. An adaptive adjustment mechanism 1 is mounted on the support mechanism 2 and is used to respond to electronic control commands output by the central control unit 3, adjusting the support force, angle, and / or height of the support mechanism 2 according to the user's sitting posture. In one embodiment, the image sensor includes a camera for acquiring image data containing the user's posture. In one embodiment, the posture adaptation coefficient is a normalized gain coefficient calculated based on the user's sitting posture data (including pressure sensing data, displacement sensing data, image data, and / or angle sensing data), used to adjust the execution intensity of the damping adjustment unit 12. The human-machine interface unit 5 is connected to the central control unit 3 and is used to acquire control commands input by the user through the human-machine interface control panel and / or a smart mobile terminal, and send the control commands to the central control unit 3 to actively adjust the adaptive adjustable seat. The adaptive adjustment mechanism 1 adjusts the support mechanism 2 according to the user's sitting posture, thereby conforming to the user's contact area. In one embodiment, the adaptive adjustment mechanism 1 includes an electronic control unit 11 and a damping adjustment unit 12. The damping adjustment unit 12 is used to adjust the damping value of the support mechanism 2 according to the posture adaptive coefficient, wherein the posture adaptive coefficient is used to reflect the fit comfort of the contact area. The damping adjustment unit 12 uses a magnetorheological damping adjustment component and / or a valve-type damping adjustment component to adjust the damping value. The central control unit 3 is connected to the posture sensing unit 4 and the electronic control unit 11 respectively, and is used to control the damping adjustment unit 12 to drive the support mechanism 2 to fit the user's back, head and / or waist according to the user's sitting posture obtained by the posture sensing unit.In one embodiment, the central control unit 3 is further configured to adjust the posture adaptation coefficient based on the user sitting posture and / or the change in user sitting posture obtained by the posture sensing unit 4, so as to dynamically adjust the damping value of the support mechanism 2 through the adaptive adjustment mechanism 1.

[0053] In one embodiment, the central control unit 3 applies a preset AI mapping model and / or reinforcement learning model and / or behavior prediction model to obtain posture adaptation coefficients based on multi-parameter linkage matching calculations of the user's sitting posture. In one embodiment, the posture adaptation coefficients are the output value of the mapping function after multi-source information fusion. They are obtained by inputting the pressure vector array (Matrix) obtained by the sensor array, the scalar feedback from the displacement sensor, and the angle change features captured by the angle sensing unit (such as a gyroscope or encoder) into a preset digital control model. The digital control model outputs a control gain that guides the actuator's operation.

[0054] In one embodiment, when the damping adjustment unit includes a magnetorheological damping adjustment component, the magnetorheological damping adjustment component adjusts the damping value according to the attitude adaptive coefficient. The damping value is generated by regulating the rheological properties of the internal damping medium through a viscosity electronic control signal, causing the support mechanism to be linked to the user's sitting posture and / or the change in the user's sitting posture. Specifically, the electronic control unit controlling the damping adjustment unit outputs a viscosity electronic control signal to regulate the damping characteristics of the magnetorheological damping adjustment component. The magnetorheological damping adjustment component is based on the principle of magnetorheological effect, using electromagnetic reactions to change the damping characteristics. The current of the viscosity electronic control signal output by the electronic control unit changes the magnetic field strength generated by the electromagnetic coil in the piston, thereby controlling the viscosity and flow characteristics of the magnetorheological fluid (the principle is that the change in particle arrangement after electromagnetization increases or decreases the viscosity, thus increasing or decreasing the damping force), thereby achieving dynamic and continuous adjustment of the damping.

[0055] In one embodiment, when the damping adjustment unit includes a valve-type damping adjustment component, the valve-type damping adjustment component adjusts the damping value according to the attitude adaptive coefficient. The damping value is controlled by the valve port electrical control signal to regulate the valve port opening, achieving stepless adjustment or self-locking. Specifically, the valve port opening is changed by controlling the current or voltage of the valve port electrical control signal output by the electrical control unit.

[0056] In one embodiment, when the damping adjustment unit includes both a magnetorheological damping adjustment component and a valve-type damping adjustment component, the damping adjustment unit adjusts the damping value according to the attitude adaptive coefficient. The damping value is jointly regulated by the viscosity control signal and the valve port control signal output by the control control unit.

[0057] Please refer to Figure 3This is a perspective view of an adaptive adjustable seat in one embodiment. The adaptive adjustable seat includes a seat frame 17, a chassis 10, a seat cushion 18, a backrest 15, and a headrest 16. The seat cushion 18 is disposed on the chassis 10, the central control unit is disposed in the chassis 10, and the sensors of the posture sensing unit are disposed in the seat frame 17, chassis 10, seat cushion 18, backrest 15, and / or headrest 16.

[0058] Please refer to Figure 4 and Figure 5 The diagrams show the chassis structure and internal layout of an adaptive adjustable seat in one embodiment. A first pressure sensor 41, a second pressure sensor 42, a third pressure sensor 43, and a fourth sensor 44 are respectively installed at the four corners of the chassis 10, where they bear force. The central control unit collects weight sensor data from the four pressure sensors to calculate the coordinates of the hip pressure center point and the center of gravity offset. In one embodiment, a pressure sensor array is installed on the backrest 15 to collect the back pressure distribution and rate of change. In another embodiment, in… Figure 4 A gyroscope 31 is installed on the backrest 15 shown to detect the back tilt speed and tilt angle change rate during sitting. In one embodiment, a displacement sensor acquires the center of gravity offset signal, such as the forward shift of the center of gravity when leaning forward while working or the backward shift of the center of gravity when resting. The central control unit calculates and generates posture adaptation coefficients using a preset AI model based on the sensor detection data from the posture sensing unit and the posture change rate collected over time. The preset AI model can be an AI mapping model, a reinforcement learning model, or a behavior prediction model. The AI ​​mapping model determines the user's current action intention (e.g., switching from a forward-leaning working posture to a backward-leaning resting posture) by identifying the center of gravity offset, movement trajectory, and / or displacement speed of the chassis pressure center point. In one embodiment, during coefficient calculation, the AI ​​mapping model calculates the posture adaptation coefficient corresponding to the current moment based on the identified user's current action intention. This posture adaptation coefficient represents the displacement or dynamic damping compensation required to achieve the target support fit.

[0059] The adaptive adjustable seat disclosed in one embodiment of this application achieves a truly "unobtrusive, continuous, precise, and personalized" dynamic back support experience through multi-faceted improvements in areas such as multi-sensor fusion perception, predictive compliant control, full-body zone support, personalized AI adaptation, high-reliability and low-power structure, and ecological collaboration.

[0060] In one embodiment, the central control unit couples the posture adaptive coefficient, which ensures comfort by following the user's sitting posture, into an electronic control command that enables the adaptive adjustment mechanism to operate. This electronic control command is then sent to the adaptive adjustment mechanism for execution. The central control unit records the adjusted state parameters of the adaptive adjustment mechanism to cyclically calculate the next posture adaptive coefficient after updating the sensor data sent by the posture sensing unit. In one embodiment, the entire adjustment process is a closed-loop control process. In another embodiment, the central control unit outputs a damping electronic control command based on the posture adaptive coefficient to regulate the output viscosity electronic control signal and / or valve port electronic control signal of the electronic control unit. In yet another embodiment, the adaptive adjustment mechanism is linked to at least one of the chassis, backrest, headrest, lumbar support, and leg rest via a linkage or lead screw. Based on various electronic control commands calculated by the central control unit from multiple sensors of the posture sensing unit detecting the user's sitting posture, it adjusts the corresponding support mechanism by actuating the corresponding linkage or lead screw structure to achieve a close fit with the user's contact points. In one embodiment, the damping adjustment unit is used to provide the driving force for adjusting the displacement of the support mechanism. The damping adjustment unit is used to adjust the damping value according to the attitude adaptation coefficient, which is used to reflect the fitting comfort of the contact area. The damping adjustment unit uses magnetorheological damping adjustment components and / or valve-type damping adjustment components to adjust the damping value.

[0061] In one embodiment, the central control unit receives pressure, displacement, and angle sensing signals from the attitude sensing unit. Based on a preset AI mapping model and / or reinforcement learning model and / or behavior prediction model, it calculates and generates attitude adaptive coefficients. According to these attitude adaptive coefficients and the state records of the adaptive adjustment mechanism, it outputs viscosity control commands, valve port control commands, and displacement control commands to adjust the support mechanism. The electronic control unit responds to these commands by outputting corresponding viscosity control signals and / or valve port control signals. By controlling the damping characteristics of the damping adjustment unit, the smoothness and comfort of the support mechanism's adjustment are improved. For example, when the central control unit detects a user's attitude change rate of P1, the adaptive coefficient is set to P2. At this time, the magnetorheological coil of the damping adjustment unit outputs a current of P3, thereby generating a damping value P4 that makes the user feel comfortable.

[0062] In one embodiment, the AI ​​model is a dynamic mapping function connecting the user's posture biomechanical characteristics with the hardware execution state of the adaptive adjustment mechanism. The central control unit can achieve real-time control of seat comfort through the AI ​​model. The AI ​​model is based on millisecond-level dynamic matching of damping value with the rate of change of the user's sitting posture, and adjusts the fit of the support mechanism in real time through this posture adaptation coefficient. For example, when the user suddenly leans back at a large angle (such as stretching, with a sudden increase in angular velocity), the system detects that the angular velocity is greater than the threshold. It not only adjusts the backrest angle, but more importantly, it instantaneously reduces the current of the magnetorheological damper to reduce damping and avoid excessive mechanical rebound force; when the limit angle is reached, the current is increased again to lock the posture. That is, the "millisecond-level response" can be reflected in the specific dynamic adaptation adjustment and control timing of the seat back.

[0063] Experimental data shows that, compared with traditional mechanical or fixed damping adjustment, this embodiment reduces the amplitude of body center of gravity sway by about 15%-25% during user posture switching, significantly improving the smoothness of support and the comfort of long-term use.

[0064] In one embodiment, to provide convenient and user-friendly interactive operation, the human-machine interface unit is connected to the central control unit. The human-machine interface unit includes a human-machine interface through which the user interacts with the central control unit regarding seat operation. The human-machine interface can be a touchscreen or buttons. The user sends required information to the central control unit through the human-machine interface unit, which then sets the posture of the support mechanism and / or adjusts the working state of the mechanism.

[0065] like Figure 4 and Figure 5 As shown, the adaptive adjustable seat includes a chassis 10 and a backrest 15 rotatably mounted on the rear of the chassis. A backrest connector 151 is movably mounted on the chassis 10 via a pivot mechanism 1030. A gyroscope assembly 31, serving as an attitude sensing unit 2, is mounted on the backrest connector 151. The gyroscope assembly 31 is electrically connected to a main control circuit board 50. The main control circuit board 50 is the control calculation hardware carrier for the central control unit 1. The main control circuit board 50 is also electrically connected to a damping adjustment unit 35. One end of the damping adjustment unit 35 is fixed to the chassis via a mounting base 106, and the other end is movably connected to a linkage mechanism 1020 via a linkage connection part 1021. The damping adjustment unit 35 controls the reclining angle of the backrest connector 151 via the linkage mechanism 1020 according to received damping electronic control commands, thereby adjusting the reclining angle of the backrest 15. Understandably, other support mechanisms, including headrests, lumbar supports, and / or leg supports, can also be linked to damping adjustment units 35 via linkages or lead screws. Under the closed-loop calculation and control of the central control unit 1, the corresponding damping adjustment units 35 can provide more comfortable support to different parts of the body according to the user's sitting posture and changes.

[0066] Please refer to Figure 6 This is a schematic diagram of the structure of a magnetorheological damping adjustment component in one embodiment. In one embodiment, the damping adjustment unit 35 is a magnetorheological damping adjustment component 70. The magnetorheological damping adjustment component 70 includes a valve body, a floating valve 76 disposed in the valve body, a cavity, and a valve core. The cavity is filled with a magnetorheological liquid A, and an excitation coil 75 is disposed on the valve core. The magnetorheological damping adjustment component 70 adjusts the damping value of the corresponding support structure on the human body according to the damping electronic control command calculated by the posture adaptive coefficient matching. In one embodiment, the damping electronic control command is a viscosity electronic control command. The excitation coil 75 generates damping by regulating the rheological properties of the internal damping medium through the viscosity electronic control signal, so that the support mechanism is linked to the user's sitting posture and / or the change in the user's sitting posture.

[0067] Please refer to Figure 7 This is a schematic diagram of the structure of a valve-type damping adjustment component in one embodiment. In one embodiment, when the damping adjustment unit 35 is a valve-type damping adjustment component 60, the valve-type damping adjustment component 60 includes a valve body and a floating valve 67, a cavity, and an open valve 63 disposed in the valve body. Fluid C is injected into the cavity, and the open valve 63 opens a valve port 631. The valve port 631 is controlled by a piston 66 to adjust its opening degree. The valve-type damping adjustment component 60 adjusts the displacement of the piston 66 according to the displacement electronic control command calculated by the attitude adaptive coefficient matching, thereby controlling the opening degree of the valve port 631 to achieve stepless adjustment or self-locking.

[0068] Please refer to Figure 8 This is a schematic diagram of the structure of a composite damping adjustment unit combining magnetorheological and valve-type components in one embodiment. In one embodiment, the damping adjustment unit 35 combines a magnetorheological damping adjustment component and a valve-type damping adjustment component. The composite damping adjustment unit 80 includes a valve body and a floating valve 81, a cavity, a second open valve 82, a second piston 83, and a second valve core 85 disposed within the valve body. A magnetorheological liquid A is injected into the cavity. The second open valve 82 has a second valve port 821. The second valve core 85 is equipped with a coil 86. The second valve core 85 has a hollow structure and a manual lock structure is installed inside. The manual lock structure includes a push rod 87. One end of the push rod 87 is a pushing part for pushing the second piston 83, and the other end extends out of the valve core 85 and is connected to an operating handle 88. This composite damping adjustment unit 80 is applied in… Figure 4In the illustrated seat embodiment, one end of the valve is fixed to the chassis 10 via a fixing seat 106, and the other end is fixed to the connecting rod connection 1021. The composite damping adjustment unit 80 adjusts the damping value based on the viscosity electronic control signal calculated by the posture adaptive coefficient matching. The damping value regulates the rheological properties of the internal damping medium through the viscosity electronic control signal, and the composite damping adjustment unit 80 is locked and unlocked via a manual lock structure. The composite damping adjustment component combines the advantages of magnetorheological and valve-based damping adjustments. In daily seat fine-tuning, magnetorheological adjustment (fast response, stepless adjustment) is used for dynamic adjustment. When a fixed posture needs to be maintained for a long time (e.g., for a chair used for focused office work), the valve-based damping is triggered to achieve a mechanical-hydraulic "lock," thereby completely cutting off the power supply to the magnetorheological coil and achieving extremely low power consumption standby.

[0069] In this embodiment, the inherent design logic of traditional mechanical control in conventional seats is broken through. Rheological damping adjustment components, valve-type damping adjustment components, and / or composite damping adjustment components (magnetorheological and valve-type composite) are used to achieve adaptive adjustment of the damping value of the seat support structure. This establishes a direct response link between electronic control, damping characteristics, and support force output, enabling rapid, stepless, and precise adjustment of the seat damping force. Simultaneously, it can be combined with ergonomic design requirements to synchronously or independently match functions such as backrest angle adjustment and lumbar support, forming an integrated control of posture adjustment and force adaptation. This significantly improves the seat's vibration isolation performance, riding comfort, and driving stability. Due to its compact structure, rapid response, high adjustment accuracy, and strong adaptability, it is easy to achieve intelligent control of the seat.

[0070] Please refer to Figure 9 This is a flowchart illustrating a seat adjustment method in one embodiment. In another embodiment, this application also discloses a seat adjustment method applied to the adaptive adjustable seat described above, employing an intelligent interactive closed-loop logic based on a sensing layer (multi-dimensional perception acquisition), an AI model decision layer (intelligent algorithm decision-making), and an execution control layer (transient execution response). The sensing layer comprehensively captures key data such as the user's reclining angle, rate of posture change, total weight, and center of gravity offset through multi-sensor collaboration (e.g., collaboration between a gyroscope and a distributed weighing sensor), constructing a "perceptual neural network." The AI ​​model decision layer, based on a four-dimensional mapping model of angle, center of gravity, weight, and current, integrates algorithms such as basic calculation, center of gravity correction, dynamic correction, and scene correction to achieve data parsing and command generation, creating an "intelligent decision-making brain." The execution control layer uses a damping adjustment unit as the core execution component, responding to the decision layer's commands to achieve millisecond-level force adjustment, forming a "precise execution limb." Through the collaboration of these three layers, a full-link closed-loop control is achieved, encompassing posture recognition, command generation, and the adaptation of force and damping values. The seat adjustment method specifically includes:

[0071] Step 101: Obtain the user's sitting posture.

[0072] The central control unit receives the sitting posture data detected by the posture sensing unit's sensors and the sitting posture change rate collected in the time dimension. It applies a preset AI model, including but not limited to AI mapping model and / or reinforcement learning model and / or behavior prediction model, to determine the usage scenario and calculate and generate posture adaptation coefficients.

[0073] Step 102: Adjust the support mechanism.

[0074] The support mechanism adjusts to fit the user's hips, back, head, waist, and / or legs according to the user's sitting posture.

[0075] Step 103: Dynamically adjust comfort.

[0076] After fitting, the posture adaptation coefficient is adjusted according to the user's sitting posture and / or changes in sitting posture to dynamically adjust the user's fitting comfort.

[0077] In one embodiment, the seat adjustment also includes a zero-position calibration function, and the seat adjustment method further includes:

[0078] Step 104: Obtain the deviation value.

[0079] Under a preset trigger condition, the initial position signal of the support mechanism is acquired, and the initial position signal is compared with a preset zero-position parameter to obtain the deviation value between the two. The preset trigger condition is either a zero-position calibration command output by the central control unit or a manual zero-position calibration signal output by the human-machine interface unit. In one embodiment, the central control unit includes a wireless connection module for wirelessly connecting to a mobile terminal and transmitting and receiving zero-position calibration commands. In another embodiment, the human-machine interface unit includes a zero-position calibration button for outputting a manual zero-position calibration signal.

[0080] Step 105, compensation and correction.

[0081] The attitude adaptation coefficient is compensated and corrected based on the deviation value.

[0082] In one embodiment, the AI ​​model simulates usage scenarios based on sensor data. For example, in a scenario involving dynamic switching of leaning back, the backrest sensors detect increased pressure, and the AI ​​model predicts that the user's posture will change to leaning back. Based on the predicted required support, it calculates a posture adaptation coefficient and simultaneously generates a damping electronic control command to instantly increase the damping force of the magnetorheological damping adjustment component to provide support. During this process, due to the millisecond-level intervention of magnetorheological damping, the user will not feel a sudden collapse or mechanical jerking, resulting in greater comfort. Alternatively, in static fine-adjustment scenarios such as prolonged sitting, the sensors detect a shift in the user's center of gravity, and the AI ​​model fine-tunes the lumbar support height and damping characteristics based on input sensor parameters to maintain and improve the fit of the support mechanism.

[0083] To facilitate understanding of the process of the adaptive adjustable seat disclosed in this application performing dynamic adaptive adjustment, the following description will take the entire process from sensor signal acquisition, signal processing, logic judgment to execution control as an example, specifically including:

[0084] Please refer to Figure 10 This is a schematic diagram of the entire control logic flow for dynamic adaptive adjustment in one embodiment. The attitude sensing unit includes a gyroscope (gyroscope detection module) and a weight sensor (weighing sensor module). The central control unit is a control module (MCU). The electrical control unit of the adaptive adjustment mechanism responds to the PWM control signal output by the MCU, controls the drive circuit to output drive current to drive the electromagnetic damper, thereby adjusting the actuator module (support mechanism). Specifically, the control module sends the user's sitting posture data (fusion data of angle and weight) acquired by the attitude sensing unit to the AI ​​calculation module. The AI ​​calculation module feeds back the ergonomically optimal force command (attitude adaptive coefficient) to the MCU. The MCU outputs PWM control signals with different duty cycles based on the attitude adaptive coefficient.

[0085] The first stage is system initialization (marked as time t0).

[0086] When the system is powered on, the gyroscope starts up (outputs an angle signal), and the weighing sensor goes into low-power sleep mode (no output).

[0087] In the second stage, the human body leans against the backrest (marked as time t1).

[0088] When a person leans against the backrest, dθ / dt > 0.5° / s, the control module outputs a wake-up signal (high level).

[0089] The third stage is data acquisition (marked as time t1 to t2).

[0090] The gyroscope starts up (100Hz sampling), the load cell enters low-power mode (1Hz sampling), and loads a four-dimensional mapping model (including a reference current of 1A when θ=90°, ΔX=0cm, and m=75kg). The load cell starts up (approximately 50ms), collects weight data, and transmits it to the MCU.

[0091] In the fourth stage, output control signals (marked as time t2-t3).

[0092] The MCU calculates the target force and outputs a PWM signal to drive the damper adjustment;

[0093] The fifth stage is the output driving force (marked as time t3).

[0094] When the angle stabilizes (dθ / dt < 0.1° / s), the MCU outputs a sleep signal (low level), and the load cell stops working.

[0095] The sixth stage is the dynamic maintenance stage (marked after time t3).

[0096] Only the gyroscope continues to operate, waiting for the next valid trigger. When the gyroscope detects dθ / dt > 0.3° / s (effective attitude change), it triggers the weighing sensor to switch to high-speed sampling, simultaneously collecting θ, dθ / dt, m, ΔX, and backrest acceleration a. This data is used to calculate the drive current, and parameters such as center of gravity correction (related to ΔX), dynamic correction (related to dθ / dt), and scene correction (related to acceleration a) are considered when calculating the drive current.

[0097] Compared with existing ergonomic smart seats, the adaptive adjustable seat disclosed in this application embodiment has improvements in terms of perception, control, support structure, algorithm, and reliability.

[0098] 1. At the perception level, it has been upgraded from "single-point rough perception" to "full-domain precise perception".

[0099] In one embodiment of this application, multi-dimensional sensor fusion is introduced, such as pressure array, inertial measurement, near-range ranging, and / or spinal posture vision. Flexible thin-film sensors are used to cover the back, waist, and buttocks to achieve high-density pressure field reconstruction. In another embodiment, electromyography and center of gravity trajectory detection can also be added to predict posture changes earlier, reduce misjudgments, and achieve accurate micro-posture recognition.

[0100] 2. At the control level, the approach is shifting from "lagging triggering" to "predictive adaptation".

[0101] In one embodiment of this application, based on a time-series posture prediction algorithm, changes in sitting posture are predicted in advance and actively pre-adjusted. Specifically, compliant control and force control closed loop are adopted instead of simple position control. This not only ensures that the adjustment speed and force are dynamically matched with the rate of change of posture, but also achieves imperceptible, smooth and follow-up adjustment.

[0102] 3. In terms of support structure, it has been upgraded from "single-point lumbar support" to "full-body zone dynamic support".

[0103] The back features multi-segment independent flexible support units (thoracic, lumbar, and sacral sectional control), combined with the seat cushion's forward / backward tilt linkage, to improve pelvic posture while balancing support strength and fit. This allows the spine to maintain a natural S-shape in all postures, resulting in more even pressure distribution.

[0104] 4. At the algorithm level, the approach has been upgraded from rule-based control to pre-defined personalized AI models.

[0105] Establish a user's human body parameter model (automatic recognition of height, weight, shoulder width, and pelvic width), enhance learning, record user preferences, and form a personalized support curve. In particular, it will remind users of abnormal sitting postures (hunchback, prolonged forward tilting) and further achieve progressive correction.

[0106] 5. In terms of reliability, it achieves high integration, low power consumption, and modularity.

[0107] High integration can improve response speed; the addition of a low-power wake-up mechanism allows the device to enter sleep mode when stationary, significantly improving battery life; the modular design of the core execution module facilitates maintenance and replacement.

[0108] In one embodiment of this application, when the damping adjustment unit uses a valve-type damping adjustment component to adjust the damping value, it also has a locking and unlocking switch function. That is, the central control unit sends a self-locking signal or an unlocking signal according to the user's sitting posture and / or the amount of change in sitting posture, realizing the instant locking and unlocking function of the support mechanism position. For example, it realizes the fixed and movable switching of the backrest / lumbar support mechanism of the adaptive seat, meeting the user's posture locking needs in different scenarios (such as locking the backrest when working and unlocking the reclining when resting). The micro-valve of the valve-type damping adjustment component is the core switching component of the actuator. Its valve port state directly controls the flow of internal fluid. When the locking state is executed, it responds to the self-locking signal, the micro-valve port is completely closed, the internal magnetorheological fluid / hydraulic oil cannot flow, the damper is in a "rigidly locked" state, the linkage mechanism cannot extend or retract, the seat back cannot recline, and the lumbar support mechanism cannot move, thus achieving posture fixation. When unlocking, the micro valve opens according to the required force in response to the unlock signal, allowing the internal fluid to flow freely. The damper resumes its damping adjustment function, and the linkage mechanism moves in accordance with the user's operation or force adjustment command. The backrest can recline normally, and the waist support mechanism can provide synchronous support.

[0109] After long-term use, the fatigue accumulation of the mechanical structure of the seat will cause the initial angle reference of the backrest to deviate. The initial angle reference of the seat backrest (also known as the zero reference or design reference angle) is the physical origin and design reference angle of the seat backrest adjustment mechanism. It usually refers to the angle between the backrest and the vertical direction or the seat cushion plane when the backrest is in the initial design position (usually 0° vertical or the design reference angle specified by the manufacturer, such as 25°). When the initial angle reference of the backrest deviates, the angle display of the seat backrest will be inconsistent with the actual position, which will cause the seat memory function to malfunction (the memory position cannot accurately return to the set posture, the backrest is slightly forward or backward after each memory recall, and the backrest position becomes increasingly off-center when multiple users switch positions), automatic adjustment / linkage function failure (asynchrony with lumbar support, leg support, and headrest and chaotic adaptive logic), abnormal adjustment travel (the backrest cannot be adjusted to the limit, prematurely triggering the stall protection or stopping, and impacting the interior / frame when overtraveling), motor malfunction (the motor repeatedly zeros, idles, vibrates, makes abnormal noises, and wears out), and safety risks. In order to solve the angle detection error, the seat adjustment method disclosed in one embodiment of this application also includes zero-position calibration, specifically including:

[0110] The central control unit of the adaptive seat receives the zero-position calibration signal output by the trigger component and initiates zero-position calibration;

[0111] During zero-position calibration, the central control unit collects the current reclining angle of the backrest when it is in a stable state;

[0112] Calculate the zero position offset based on the initial zero position and the current pitch angle. If the zero position offset is greater than the offset threshold, update the initial zero position to the current pitch angle.

[0113] When the zero offset is less than the offset threshold, maintain the pitch angle corresponding to the initial zero position.

[0114] The aforementioned zero-position calibration signal includes either a zero-position calibration command or a manual zero-position calibration signal.

[0115] The central control unit includes a wireless connectivity module for wirelessly connecting to a mobile terminal and sending / receiving zero-position calibration commands. Alternatively, the central control unit can be electrically connected to a zero-position calibration button, which outputs a manual zero-position calibration signal. Upon initial use of the seat or upon detecting environmental / structural misalignment, the central control unit can receive a trigger signal to initiate zero-position calibration. The user can send commands via a mobile terminal or press and hold a physical button on the seat to allow the central control unit's built-in wireless module or circuit interface to capture the calibration signal.

[0116] During zero-position calibration, the central control unit first calls the attitude sensing unit to monitor whether the backrest is in a stable, stationary state without load. Logical calculation: The central control unit acquires the current backrest tilt angle and compares it with the preset initial zero position in memory, calculating the zero-position offset between the two. Threshold judgment and update: If the zero-position offset exceeds the preset offset threshold, the central control unit automatically updates the current physical position parameters to a new logical zero position, which serves as the reference coordinate for subsequent adaptive coefficient calculations. This mechanism solves the fatigue accumulation error caused by long-term use of the mechanical structure, ensuring accurate starting point for millisecond-level response.

[0117] An adaptive adjustable seat provided in one embodiment of this application breaks through the inherent design logic of traditional mechanical control of traditional seats. It adopts a magnetorheological damper or a micro valve-controlled damper as the core actuator. It directly regulates the rheological characteristics of the damping medium or the opening and closing state of the valve through electronic control signals, and constructs a direct response link of "electronic control-damping characteristics-force output" to realize rapid, stepless and precise adjustment of seat damping force. At the same time, combined with ergonomic design requirements, it synchronously or independently matches functions such as backrest angle adjustment and lumbar support, forming an integrated control scheme of "posture adjustment + force adaptation".

[0118] To facilitate understanding of how the adaptive adjustable seat disclosed in this application achieves precise and continuous dynamic adaptive adjustment to match changes in user posture, the following example illustrates the dynamic adjustment process of the backrest damping force:

[0119] When the system detects that the user is about to stretch (assuming the user returns to their initial posture after the stretch), the adaptive adjustment mechanism needs to dynamically adjust the damping force of the backrest throughout the entire process. Please refer to [reference needed]. Figure 11This diagram illustrates the corresponding curves of the damping force provided by the backrest and the backrest adjustment angle during a stretching process in one embodiment, including an extension phase and a recovery phase. Since the duration and speed of limb movement differ between the extension and recovery phases during a user's stretching action, the damping force provided by the backrest needs to be dynamically adapted (it cannot remain constant), and the backrest angle also needs to be adjusted accordingly, finally returning to the initial state. Therefore, the corresponding curve is a closed curve, and the damping force changes between the extension and recovery phases are also different. It is important to note that during the damping force adjustment process, the magnitude of the damping force is not directly correlated with the backrest angle (in the prior art, damping force and backrest angle are positively correlated). For example, in the extension phase, to reduce resistance during posture changes, even if the backrest angle increases, the damping force must decrease. Because the adaptive adjustment mechanism that provides the driving force for the support mechanism in the seat uses magnetorheological damping adjustment components and valve-type damping adjustment components, it has the characteristics of fast response speed, continuous linear adjustment, high precision and good compliance. Therefore, it can fully meet the dynamic change adaptation of support force when the user changes posture. In particular, the adjustment of magnetorheological damping can achieve a response speed of KHz (millisecond level), and the adjustment accuracy of its damping force can be controlled within ±0.5% to 1% FS (full scale).

[0120] An embodiment of this application discloses an adaptive adjustable seat, including a support mechanism, a posture sensing unit, and an adaptive adjustment mechanism. The posture sensing unit is used to acquire the user's sitting posture data in real time; the adaptive adjustment mechanism includes an electronic control unit and a damping adjustment unit, which are used to provide displacement driving force for the support mechanism and to change the dynamic support force of the support mechanism by adjusting the damping characteristics, respectively. The damping adjustment unit adjusts the dynamic damping characteristics based on the posture adaptive coefficient, using magnetorheological damping adjustment components and / or valve-type damping adjustment components. This application acquires the user's posture change characteristics in real time through the sensors of the posture sensing unit, outputs control commands using an algorithm model, and employs valve-type and / or magnetorheological dampers to achieve high-precision, millisecond-level rapid adaptive adjustment of the seat support damping value, thereby solving the technical defects of traditional mechanical linkage seats, such as lag in adjustment and inability to dynamically adapt damping to individual differences.

[0121] In the above embodiments, implementation can be achieved, in whole or in part, by software, hardware, firmware, or any combination thereof. Furthermore, as those skilled in the art will understand, the principles herein can be reflected in a computer program product on a computer-readable storage medium pre-loaded with computer-readable program code. Any tangible, non-transitory computer-readable storage medium may be used, including magnetic storage devices (hard disks, floppy disks, etc.), optical storage devices (CDs, DVDs, Blu-ray discs, etc.), flash memory, and / or the like. These computer program instructions can be loaded onto a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus to form a machine, such that instructions executing on the computer or other programmable data processing apparatus can generate means for performing a specified function. These computer program instructions can also be stored in a computer-readable storage medium that can instruct the computer or other programmable data processing apparatus to operate in a particular manner, such that instructions stored in the computer-readable storage medium can form an article of manufacture, including means for implementing the specified function. The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to perform a series of operational steps on the computer or other programmable apparatus to produce a computer-implemented process, such that instructions executing on the computer or other programmable apparatus can provide steps for implementing the specified function.

[0122] This document describes various exemplary embodiments with reference to them. However, those skilled in the art will recognize that changes and modifications can be made to the exemplary embodiments without departing from the scope of this document. For example, various operational steps and components for performing operational steps can be implemented in different ways depending on the specific application or considering any number of cost functions associated with the operation of the system (e.g., one or more steps can be deleted, modified, or combined with other steps).

[0123] While the principles herein have been illustrated in various embodiments, numerous modifications to the structures, arrangements, proportions, elements, materials, and components, particularly suited to specific environments and operational requirements, may be used without departing from the principles and scope of this disclosure. These modifications and other alterations or alterations will be included within the scope of this document. Those skilled in the art will recognize that many changes can be made to the details of the above embodiments without departing from the fundamental principles of the invention.

Claims

1. An adaptive adjustable seat, characterized in that, include: The posture sensing unit is used to acquire user sitting posture data, including force sensors, displacement sensors, angle sensors and / or image sensors; Support mechanisms for supporting a user’s hips, back, head, waist and / or legs, including a chassis, backrest, headrest, lumbar support and / or leg rest; An adaptive adjustment mechanism is used to adjust the support mechanism according to the user's sitting posture data so as to fit the user's contact area; The adaptive adjustment mechanism includes an electronic control unit and a damping adjustment unit; The electronic control unit is used to provide a driving force to adjust the displacement of the support mechanism according to the attitude adaptation coefficient; The damping adjustment unit is used to adjust the damping value of the support mechanism according to the attitude adaptation coefficient; wherein, the attitude adaptation coefficient is obtained based on the user's sitting posture data and is used to adjust the execution intensity of the damping adjustment unit, and the damping adjustment unit uses a magnetorheological damping adjustment component and / or a valve-type damping adjustment component to adjust the damping value.

2. The adaptive adjustable seat as described in claim 1, characterized in that, Also includes: The central control unit is connected to the posture sensing unit and the electrical control unit, respectively. It is used to control the damping adjustment unit to drive the support mechanism to conform to the user's back, head and / or waist based on the user's sitting posture data obtained by the posture sensing unit and through the electrical control unit. The central control unit is also used to adjust the posture adaptation coefficient based on the user's sitting posture data and / or the change in user's sitting posture data obtained by the posture sensing unit, so as to dynamically adjust the damping value of the support mechanism through the damping adjustment unit.

3. The adaptive adjustable seat as described in claim 2, characterized in that, The central control unit uses a preset AI mapping model and / or reinforcement learning model and / or behavior prediction model to obtain the posture adaptation coefficient based on multi-parameter linkage matching calculation of the user's sitting posture data.

4. The adaptive adjustable seat as described in claim 2, characterized in that, Also includes: A human-machine interaction unit, connected to the central control unit, is used to interact with the central control unit through a human-machine interface, so as to adjust and set the posture of the support mechanism and / or adjust the working state of the mechanism through the central control unit.

5. The adaptive adjustable seat as described in claim 1, characterized in that, When the damping adjustment unit includes a magnetorheological damping adjustment component, the magnetorheological damping adjustment component adjusts the damping value according to the posture adaptive coefficient. The damping value is generated by regulating the rheological properties of the internal damping medium through a viscosity electronic control signal, so that the support mechanism is linked to the user's sitting posture and / or the change in the user's sitting posture. When the damping adjustment unit includes a valve-type damping adjustment component, the valve-type damping adjustment component adjusts the damping value according to the attitude adaptive coefficient. The damping value is steplessly adjusted or self-locked by controlling the valve opening degree through the valve port electrical control signal.

6. The adaptive adjustable seat as described in claim 1, characterized in that, When the damping adjustment unit includes a magnetorheological damping adjustment component and a valve-type damping adjustment component, the damping adjustment unit adjusts the damping value according to the attitude adaptive coefficient. The damping value is generated by regulating the rheological properties of the internal damping medium through a viscosity electronic control signal and / or by regulating the valve opening through a valve port electronic control signal.

7. A method for adaptive adjustment of a seat, characterized in that, Applied to the adaptive adjustable seat as described in any one of claims 1 to 6, comprising: Obtain the user's sitting posture; The user's sitting posture adjustment support mechanism conforms to the user's buttocks, back, head, waist and / or legs; After fitting, the posture adaptation coefficient is adjusted according to the user's sitting posture and / or changes in sitting posture to dynamically adjust the user's fitting comfort.

8. The seat adaptive adjustment method as described in claim 7, characterized in that, Also includes: Under a preset triggering condition, the initial position signal of the support mechanism is acquired, and the initial position signal is compared with a preset zero position parameter to obtain the deviation value between the two. The attitude adaptation coefficient is compensated and corrected based on the deviation value.

9. The seat adaptive adjustment method as described in claim 8, characterized in that, The preset triggering condition is either a zero-position calibration command output by the central control unit or a manual zero-position calibration signal output by the human-machine interaction unit. The central control unit includes a wireless connection module, which is used to wirelessly connect with the mobile terminal and send and receive the zero-position calibration command; the human-machine interaction unit includes a zero-position calibration button, which is used to output the manual zero-position calibration signal.

10. The seat adaptive adjustment method as described in claim 9, characterized in that, The central control unit sends a self-locking signal based on the user's sitting posture and / or changes in sitting posture. The magnetorheological damping adjustment component and / or valve-type damping adjustment component adjust the rheological properties of the damping medium and / or control the valve opening based on the self-locking signal, thereby achieving self-locking of the support mechanism by locking the damping value.

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