Adaptive body-sensing comfort system control method and related devices

Abstract

The application discloses a self-adaptive somatosensory comfort system control method and related equipment, and the method comprises the following steps: acquiring a first detection signal from a first sensor, judging whether a passenger exists on a target seat based on the first detection signal; in response to the determination that the passenger exists on the target seat, acquiring a second detection signal from a second sensor, and identifying the body shape characteristics of the passenger based on the second detection signal; and based on the identified body shape characteristics, determining and executing the output intensity of the somatosensory comfort system matched with the body shape characteristics.

Description

Technical Field

[0001] This application belongs to the field of vehicle control technology, specifically relating to an adaptive haptic comfort system control method, an adaptive haptic comfort system, a seat control unit, a computer-readable storage medium, and a vehicle. Background Technology

[0002] With the development of intelligent cockpit technology in automobiles, car seats have integrated various active functions such as vibration warning, dynamic support adjustment, and immersive haptic feedback. Currently, haptic feedback systems mainly use factory-fixed output intensity, without fully considering the differences in occupant size and weight. Under the same output intensity, lighter occupants may experience excessive stimulation and discomfort, while heavier occupants may not be able to effectively perceive the feedback signal. Existing systems generally lack the ability to automatically detect occupant presence; related functions may continue to operate even when the seat is unoccupied, resulting in wasted energy and unnecessary in-vehicle noise. In pure electric vehicles, this also directly consumes the vehicle's range. The perception dimensions of these systems are relatively limited, unable to simultaneously determine occupant presence and body shape recognition. Therefore, an adaptive haptic comfort system control method is urgently needed to solve these problems. Summary of the Invention

[0003] This application aims to address at least one of the technical problems existing in the prior art. To this end, this application proposes an adaptive ergonomic comfort system control method, which can solve problems such as mismatch between ergonomic output and occupant body size, high energy consumption during system idling, and insufficient perception and adjustment capabilities. At the same time, it can improve the energy waste and in-vehicle noise problems caused by the lack of an automatic occupant presence detection mechanism and the system continuing to operate when the seat is vacant.

[0004] To achieve the above objectives, a first aspect of the present invention provides an adaptive ergonomic comfort system control method, comprising: acquiring a first detection signal from a first sensor, determining whether there is an occupant on a target seat based on the first detection signal; in response to determining that there is an occupant on the target seat, acquiring a second detection signal from a second sensor, identifying the occupant's body shape characteristics based on the second detection signal; and determining and executing an output intensity of an ergonomic comfort system that matches the identified body shape characteristics based on the identified body shape characteristics.

[0005] In some embodiments, the first sensor includes a seatbelt reminder device and a pressure sensor; determining whether there is an occupant in the target seat based on the first detection signal includes: in response to the seatbelt reminder device being triggered and the pressure value detected by the pressure sensor exceeding a preset resting threshold, determining that there is an occupant in the target seat.

[0006] In some embodiments, the first sensor includes a pressure sensor; determining whether there is an occupant on the target seat based on the first detection signal includes: determining that there is an occupant on the target seat in response to the pressure distribution detected by the pressure sensor conforming to a preset human body pressure distribution characteristic.

[0007] In some embodiments, the second sensor includes an array of pressure sensors disposed on the surface of the target seat; body shape features include occupant weight; identifying occupant body shape features based on the second detection signal includes: determining the total pressure value collected by the array of pressure sensors based on the second detection signal, and determining the occupant weight based on the total pressure value.

[0008] In some embodiments, the method further includes classifying the occupant's body type into at least two categories based on a comparison of the occupant's weight with one or more preset weight threshold ranges.

[0009] In some embodiments, based on identified body shape characteristics, determining and executing the output intensity of a ergonomic comfort system that matches the body shape characteristics includes: in response to an occupant's weight being less than a first weight threshold, determining that the occupant's body shape is small, and reducing the output intensity of the ergonomic comfort system to below the default calibration intensity; in response to an occupant's weight being greater than a second weight threshold, determining that the occupant's body shape is large, and increasing the output intensity of the ergonomic comfort system to above the default calibration intensity; and in response to an occupant's weight being greater than the first weight threshold and less than the second weight threshold, determining that the occupant's body shape is standard, and maintaining the output intensity of the ergonomic comfort system at the default calibration intensity.

[0010] In some embodiments, the method further includes: in response to determining based on a first detection signal that an occupant has left the target seat, controlling the ergonomic comfort system to shut down or controlling the ergonomic comfort system to enter a dormant state.

[0011] An adaptive haptic comfort system control method according to an embodiment of the present invention includes: acquiring a first detection signal from a first sensor; determining whether an occupant is present on a target seat based on the first detection signal; in response to determining that an occupant is present on the target seat, acquiring a second detection signal from a second sensor; identifying the occupant's body shape characteristics based on the second detection signal; and determining and executing an output intensity of a haptic comfort system that matches the identified body shape characteristics based on the identified body shape characteristics. Therefore, this application can solve problems such as mismatch between haptic output and occupant body shape, high energy consumption during system idling, and insufficient perception and adjustment capabilities. It achieves adaptive matching of haptic feedback intensity and intelligent start-stop of the system, reduces energy loss and unnecessary in-vehicle noise caused by idling, and improves the intelligence level and ease of use of the cabin system.

[0012] To achieve the above objectives, a second aspect of the present invention provides an adaptive ergonomic comfort system, comprising: an occupant detection unit configured to acquire a first detection signal from a first sensor and a second detection signal from a second sensor; a control unit connected to the occupant detection unit, configured to: determine whether an occupant is present on a target seat based on the first detection signal; in response to determining that an occupant is present on the target seat, identify the occupant's body shape characteristics based on the second detection signal; and determine and execute an output intensity of the ergonomic comfort system matching the identified body shape characteristics based on the identified body shape characteristics; and a disturbance intervention execution unit connected to the control unit, configured to receive and execute the output intensity determined by the control unit.

[0013] In some embodiments, the occupant detection unit includes: a first detection module, including at least one of a seatbelt reminder device, a capacitive sensor, and a pressure sensor; and a second detection module, including at least one of an array-type pressure pad, an in-cabin camera, a millimeter-wave radar sensor, a seatbelt pull-out length detection sensor, and a seat position motor current detection module.

[0014] In some embodiments, the disturbance intervention execution unit includes at least one of a vibrator, an airbag, a pre-tensioned seat belt, a neck ventilation device, a seat heating pad, and a seat ventilation fan.

[0015] An adaptive haptic comfort system according to an embodiment of the present invention includes: an occupant detection unit configured to acquire a first detection signal from a first sensor and a second detection signal from a second sensor; a control unit connected to the occupant detection unit configured to: determine whether an occupant is present on a target seat based on the first detection signal; in response to determining that an occupant is present on the target seat, identify the occupant's body shape characteristics based on the second detection signal; determine and execute an output intensity of the haptic comfort system matching the identified body shape characteristics; and a disturbance intervention execution unit connected to the control unit for receiving and executing the output intensity determined by the control unit. Thus, this application can solve problems such as mismatch between haptic output and occupant body shape, high energy consumption during system idling, and insufficient perception and adjustment capabilities, achieving adaptive matching of haptic feedback intensity and intelligent start-stop of the system, reducing energy loss and unnecessary in-vehicle noise caused by idling, and improving the intelligence level and ease of use of the cabin system.

[0016] To achieve the above objectives, a third aspect of the present invention provides a seat control unit, comprising: a processor and a memory, wherein the memory stores a program or instructions executable on the processor, and the program or instructions, when executed by the processor, implement the steps of the adaptive ergonomic comfort system control method as described in any of the foregoing.

[0017] To achieve the above objectives, a fourth aspect of the present invention provides a computer-readable storage medium on which a program or instructions are stored, which, when executed by a processor, implement the steps of the adaptive haptic comfort system control method as described in any of the preceding claims.

[0018] To achieve the above objectives, a fifth aspect of the present invention provides a vehicle including any of the aforementioned adaptive haptic comfort systems.

[0019] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0020] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which: Figure 1 A flowchart illustrating the adaptive haptic comfort system control method provided in this application embodiment; Figure 2 This is a schematic diagram of the occupant detection process provided in an embodiment of this application; Figure 3 This is a schematic diagram of the occupant detection process provided in an embodiment of this application; Figure 4 This is a schematic diagram of the body shape feature confirmation process provided in the embodiments of this application; Figure 5 This is a schematic diagram of the output strength verification process provided in an embodiment of this application; Figure 6 This is a schematic diagram of the output strength verification framework provided in an embodiment of this application; Figure 7 A schematic diagram of the logic state machine provided in the embodiments of this application; Figure 8 This is a schematic diagram of a target seat without pressure, provided as an embodiment of this application. Figure 9 A schematic diagram of child stress provided in an embodiment of this application; Figure 10 A schematic diagram of adult stress provided for an embodiment of this application; Figure 11 This is a schematic diagram of an adaptive haptic comfort system provided in an embodiment of this application; Figure 12 This is a schematic diagram of the adaptive haptic comfort system framework provided in the embodiments of this application; Figure 13 This is a schematic diagram of the structure of an electronic device according to an embodiment of this application.

[0021] Reference numerals: occupant detection unit 1101, control unit 1102, disturbance intervention execution unit 1103, processor 1310, memory 1320, input / output interface 1330, communication interface 1340, bus 1350. Detailed Implementation

[0022] Embodiments of this application will now be described in more detail with reference to the accompanying drawings. While some embodiments of this application are shown in the drawings, it should be understood that this application can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided to provide a more thorough and complete understanding of this application. It should be understood that the drawings and embodiments of this application are for illustrative purposes only and are not intended to limit the scope of protection of this application.

[0023] It should be understood that the steps described in the method embodiments of this application may be performed in different orders and / or in parallel. Furthermore, the method embodiments may include additional steps and / or omit the steps shown. The scope of this application is not limited in this respect.

[0024] As described in the background section, in the automotive field, seats, as load-bearing components that come into direct contact with occupants, have gradually integrated functions such as tactile safety warnings, dynamic support adjustment, and immersive entertainment haptic feedback. Currently, haptic feedback systems generally adopt factory-calibrated output modes, with execution parameters such as vibrator amplitude, airbag inflation pressure, and seatbelt pretension force all set to fixed values. The system's start and stop are mainly triggered manually or in fixed scenarios, but the differences in occupant body size are not fully considered. Due to the large range of occupant body sizes, under the same output force, smaller occupants will experience excessive acceleration, which may easily cause discomfort or even fright. Larger occupants, due to their greater inertia, may not be able to effectively perceive feedback signals. At the same time, the system lacks an automatic occupant presence detection mechanism, and related functions may continue to operate even when the seat is vacant, causing unnecessary energy consumption and generating excessive in-vehicle noise. In pure electric vehicles, this directly consumes range. Existing systems have a relatively single perception dimension and cannot simultaneously complete the determination of occupant presence and body type recognition.

[0025] To address the aforementioned shortcomings, the adaptive ergonomic comfort system control method of the present invention, through hierarchical detection, body shape recognition, and dynamic compensation of output intensity control logic, can solve problems such as mismatch between ergonomic output and occupant body shape, high energy consumption during system idling, and insufficient perception and adjustment capabilities. It achieves adaptive matching of ergonomic feedback intensity and intelligent start-stop of the system, reduces energy loss and unnecessary in-vehicle noise caused by idling, and improves the intelligence level and ease of use of the cockpit system.

[0026] The following is for reference. Figures 1-10This application describes an adaptive haptic comfort system control method provided in its embodiments.

[0027] Step S101: Obtain a first detection signal from the first sensor, and determine whether there is an occupant on the target seat based on the first detection signal.

[0028] Specifically, the control unit reads the first detection signal output by the first sensor. The first detection signal can be the on / off status of the seat belt buckle, the pressure value of the seat bearing surface, and pressure distribution data, etc. Among them, the on / off status of the seat belt buckle is used to determine whether the seat belt is in the buckled state, the pressure value of the seat bearing surface is used to characterize the current overall load of the seat, and the pressure distribution data is used to identify the distribution pattern of the pressure area of ​​the seat, the location of pressure concentration, and the contour characteristics of the area, thereby distinguishing different pressure scenarios such as occupant sitting down and object placement.

[0029] In step S102, in response to determining that there is an occupant in the target seat, a second detection signal from the second sensor is acquired, and the occupant's body shape characteristics are identified based on the second detection signal.

[0030] Specifically, after determining that an occupant is present in the target seat, the control unit acquires a second detection signal from the second sensor. This second detection signal can be the total pressure value of the seat's bearing surface, pressure distribution data in various areas, etc. Based on the total pressure value, the control unit compares it with preset weight grading thresholds and body type classification rules to identify the occupant's body type characteristics and categorize the occupant into the corresponding body type category.

[0031] Step S103: Based on the identified body shape characteristics, determine and execute the output intensity of the haptic comfort system that matches the body shape characteristics.

[0032] Specifically, the control unit, based on the occupant's mass parameters corresponding to their body type, adjusts the output intensity downwards for occupants with smaller masses and upwards for occupants with larger masses, ensuring that the perceived intensity of the occupant's sensation is consistent across different body types. The control unit generates corresponding control commands and sends control signals to the vibration actuators, airbags, pre-tensioned seat belts, and other motion-sensing components. By adjusting operating parameters such as drive current, inflation pressure, and pre-tensioning torque, the control unit executes a motion-sensing output intensity that matches the occupant's body characteristics.

[0033] As an optional embodiment, the first sensor includes a seatbelt reminder device and a pressure sensor; determining whether there is an occupant in the target seat based on the first detection signal includes: in response to the seatbelt reminder device being triggered and the pressure value detected by the pressure sensor exceeding a preset static threshold, determining that there is an occupant in the target seat.

[0034] It should be noted that the preset static threshold is a judgment threshold set by the vehicle controller during the vehicle's factory calibration phase, under static conditions where the seat is unloaded and only bears the weight of the seat structure itself. This threshold eliminates the basic pressure interference caused by the weight of the seat frame and foam padding. When only light items such as backpacks and cardboard boxes are placed on the seat, the pressure sensor output value usually cannot reach this threshold. Only when a person sits down and brings additional load will the pressure value exceed this threshold, thus distinguishing between the unloaded static state and the state where someone is sitting, reducing the probability of misjudging a person sitting down when there are items on the seat.

[0035] Specifically, such as Figure 2 The diagram illustrates the occupant detection process provided in this embodiment. The control unit acquires the on / off status signal of the seatbelt reminder device and the real-time pressure detection value of the pressure sensor. When the seatbelt reminder device is detected to be in a triggered state (i.e., the seatbelt buckle is engaged) and the pressure value detected by the pressure sensor exceeds a preset static threshold, it is determined that an occupant is present in the target seat. This dual-condition determination method can reduce the judgment deviation caused by false triggering of a single sensor and avoid misidentification caused by objects placed on the seat or accidental activation of the buckle.

[0036] As an optional embodiment, the first sensor includes a pressure sensor; such as Figure 3 The diagram shown is a schematic of the occupant detection process provided in an embodiment of this application. It determines whether an occupant is present in the target seat based on a first detection signal, including: Step S301: In response to the pressure distribution detected by the pressure sensor conforming to the preset human body pressure distribution characteristics.

[0037] Specifically, the preset human body pressure distribution characteristics include the overall shape of the pressure-bearing area, the location and distribution range of the pressure concentration area, and the pressure gradient changes in different areas, which can be clearly distinguished from the irregular pressure distribution in scenarios such as placing items on a seat.

[0038] Step S302: Determine that there is an occupant in the target seat.

[0039] Specifically, the control unit extracts characteristic parameters such as the pressure coverage area, pressure peak position, and pressure distribution ratio in front, behind, left, and right of the real-time pressure distribution data under the current working condition, and compares these characteristic parameters with the preset human body pressure distribution characteristics to determine whether the current pressure distribution matches the preset human body pressure distribution characteristics. If the real-time pressure distribution matches the preset human body pressure distribution characteristics, the control unit determines that there is an occupant in the target seat.

[0040] As an optional embodiment, the second sensor includes an array of pressure sensors arranged on the surface of the target seat; body characteristics include occupant weight.

[0041] It should be noted that the array-type pressure sensor consists of a large number of pressure sensing points evenly arranged in rows and columns. When a sensing point is pressed, it will output a corresponding pressure value. The control unit can read the pressure data of all points and stitch them together to form a complete seat pressure heat map. After the occupant sits down, the buttocks and back of the body will squeeze the corresponding sensing points to generate pressure signals. When the seat is unloaded or only light objects are placed, there is only a very low basic pressure. The control unit adds up the pressure values ​​collected from all points to obtain the total load, and then converts the total load into the occupant's weight through a pre-calibrated conversion relationship.

[0042] like Figure 4 The diagram shown is a schematic of the body shape feature confirmation process provided in an embodiment of this application. Based on a second detection signal, the body shape features of the occupant are identified, including: Step S401: Determine the total pressure value collected by the array pressure sensor based on the second detection signal.

[0043] Specifically, the control unit extracts the pressure values ​​of all sensing units within the effective pressure-bearing range of the seat, and calculates the total pressure value borne by the seat bearing surface by summing them up. During the calculation process, the reference pressure corresponding to the static self-weight of the seat can be deducted in advance to eliminate the interference of the structural self-weight on the load statistics.

[0044] Step S402: Determine the occupant's weight based on the total pressure value.

[0045] Specifically, the control unit substitutes the calculated total pressure value into the corresponding conversion logic, and performs calibration by combining the correction coefficients for additional loads such as regular clothing and personal belongings, to determine the corresponding occupant weight value.

[0046] As an optional embodiment, the method further includes: classifying the occupant's body type into at least two categories based on a comparison of the occupant's weight with one or more preset weight threshold ranges.

[0047] Specifically, the weight threshold can be calibrated by combining the characteristics of the target occupant group of the vehicle and the load-bearing characteristics of the seat. It can be divided according to weight range. The control unit compares the calculated occupant weight with each preset weight threshold range. Different body types correspond to preset somatosensory output control benchmarks.

[0048] As an optional embodiment, based on the identified body shape characteristics, the output intensity of the ergonomic comfort system that matches the body shape characteristics is determined and executed.

[0049] like Figure 5 The diagram shown is a schematic of the output strength verification process provided in an embodiment of this application, including: In step S501, in response to the occupant's weight being less than a first weight threshold, the occupant's body type is determined to be small, and the output intensity of the ergonomic comfort system is reduced to below the default calibration intensity.

[0050] Specifically, when an occupant's weight is below a first weight threshold, the occupant's body type is classified as small, and the control unit applies Newton's second law. (Net external force = inertial mass × acceleration) Parameters are adjusted by reducing the drive current of the exciter and reducing the airbag inflation flow to reduce the output force of the comfort system, so that the actual output intensity is lower than the default calibration intensity, thus avoiding discomfort caused by excessive vibration acceleration for small-sized occupants.

[0051] In step S502, in response to the occupant's weight being greater than the second weight threshold, the occupant's body type is determined to be large, and the output intensity of the ergonomic comfort system is increased to a level higher than the default calibration intensity.

[0052] Specifically, when the occupant's weight exceeds the second weight threshold, the occupant's body type is classified as large. Large occupants have greater inertia, and if the default calibration intensity is used, the occupant's perceived tactile effect will be weak. The control unit increases the output intensity of the tactile comfort system to a level higher than the default calibration intensity, so that the vibration acceleration actually felt by the occupant reaches the system's preset value.

[0053] In step S503, in response to the occupant's weight being greater than the first weight threshold and less than the second weight threshold, the occupant's body shape is determined to be a standard body shape, and the output intensity of the comfort system is maintained at the default calibration intensity.

[0054] Specifically, when the occupant's weight is greater than the first weight threshold and less than the second weight threshold, the occupant's body type is classified as standard body type. Under this weight range, the occupant operates at the factory default calibration intensity. The control unit keeps parameters such as motor output current and airbag inflation pressure unchanged, and the body comfort system maintains the default calibration intensity operation to ensure that standard weight occupants receive appropriate body feedback.

[0055] By setting a first and a second weight threshold, occupant body types are divided into ranges. The intensity of the haptic feedback is adjusted separately for occupants of different weights and body types, instead of using a uniform fixed output parameter for all occupants. Smaller occupants are more easily moved by vibrations, so the output intensity is reduced to prevent excessive haptic stimulation. Larger occupants require more force to feel a clear adjustment effect, so the output intensity is increased. Occupants of moderate weight can directly use the factory preset parameters. This allows occupants of small, standard, and large body types to obtain a haptic effect that matches their own body characteristics, improving the problem of excessively strong or weak haptic feedback for different body types and enhancing the adaptability and comfort of the seat's haptic feedback adjustment.

[0056] As an optional embodiment, the method further includes: in response to determining based on a first detection signal that an occupant has left the target seat, controlling the ergonomic comfort system to shut down or controlling the ergonomic comfort system to enter a dormant state.

[0057] Specifically, the control unit reads the first detection signal output by the first sensor to monitor the occupant's position in the seat. When the data of the seat belt reminder device no longer meets the buckle engagement trigger state, and the pressure value collected by the pressure sensor falls below the preset static threshold and the pressure distribution pattern no longer matches the preset human body pressure distribution characteristics, it can be determined that the occupant has left the target seat. The control unit issues a stop working command to shut down the ergonomic comfort system or control the system to enter sleep mode. In sleep mode, the power supply of other components besides the sensor can be reduced to prevent the ergonomic components from working continuously and generating unnecessary noise when the seat is empty, and to reduce power consumption.

[0058] like Figure 6 The diagram shown is a schematic of the adaptive ergonomic comfort system framework provided in this embodiment. The control unit receives first detection signals from the seatbelt reminder device and the pressure sensor. When the seatbelt reminder device is triggered and the pressure sensor measures a pressure value exceeding a preset static threshold, or when the pressure sensor collects pressure distribution characteristics consistent with a human sitting posture, it is determined that an occupant is present in the seat. If none of the above conditions are met, the seat is determined to be unoccupied. Figure 7 The diagram shown is a schematic of the logic state machine provided in an embodiment of this application. The system is initially in a low-power standby (no occupants) state, and the system only activates the seat belt reminder device (SBR) for monitoring, thereby reducing the overall standby power consumption.

[0059] like Figure 8 The diagram shown is a schematic of the target seat without pressure according to an embodiment of this application. The overall pressure value of the heat map corresponding to the empty seat is low, with only a few low pressure data points distributed. As a reference standard for no-load operation, the ergonomic comfort system is turned off or enters a sleep state, stopping all ergonomic actuators from working and saving vehicle power. When the seat belt reminder device is triggered, the system wakes up the array-type pressure sensor to perform a deep judgment. After determining that there is an occupant in the target seat, the control unit obtains the second detection signal collected by the array-type pressure sensor, calculates the total pressure value applied by the occupant based on the data of each sensor unit, and then calculates the occupant's weight. The occupant's weight is then compared with the first weight threshold and the second weight threshold to classify the corresponding body type.

[0060] like Figure 9As shown, this is a schematic diagram of child pressure provided in an embodiment of this application. When the occupant's weight is less than the first weight threshold and is determined to be a small-sized occupant, the overall pressure value of the heat map corresponding to the small-sized member is low, the color block with pressure value covers a narrow range, the seat bearing contact area is small, and the pressure is mainly concentrated in the rear of the seat cushion. At this time, the output force of the vibrator, airbag assembly and seat belt pretensioning mechanism is reduced so that the actual output intensity is lower than the default calibration intensity set for standard-sized occupants, so as to avoid small-weight occupants from experiencing excessive acceleration and discomfort.

[0061] like Figure 10 The diagram shown is a schematic of adult pressure provided in this application embodiment. When the occupant's weight exceeds the second weight threshold and is determined to be a large-sized occupant, the overall pressure value of the heat map corresponding to the large-sized occupant is higher, and the overall pressure value is significantly higher than that under the condition of a child. The color block with pressure value covers a wider range, and high-pressure color blocks are distributed in the front, middle, and rear of the seat cushion, resulting in a more uniform overall pressure distribution. At this time, the system increases the output intensity of the ergonomic comfort system to ensure that the acceleration actually felt by the occupant reaches the preset target value. When the occupant's weight is greater than the first weight threshold but less than the second weight threshold and is determined to be a standard-sized occupant, the ergonomic comfort system maintains the factory-preset default calibration intensity. The system compares the pressure value changes in real time. When the pressure value returns to a distribution state similar to an empty seat, it is determined that the occupant has left the seat. The system stops the ergonomic output and returns to the sleep standby state, completing the entire control process.

[0062] refer to Figure 9 and Figure 10 By comparing the peak values, overall pressure, pressure coverage area, and high pressure distribution locations of pressure heat maps for children and adults, the body shape of occupants can be distinguished from multiple perspectives. The presence and body shape of an occupant can be determined simply by analyzing the array pressure pads. Furthermore, the combination of multi-dimensional image feature cross-judgment and single total pressure weight judgment can reduce the probability of errors in body shape recognition, improve the recognition accuracy of the body-sensing adaptive adjustment system, and allow occupants of different body shapes to receive appropriate body-sensing adjustment intensity.

[0063] The adaptive haptic comfort system control method provided in this application includes: acquiring a first detection signal from a first sensor; determining whether an occupant is present on a target seat based on the first detection signal; in response to determining that an occupant is present on the target seat, acquiring a second detection signal from a second sensor; identifying the occupant's body shape characteristics based on the second detection signal; and determining and executing the output intensity of a haptic comfort system that matches the identified body shape characteristics based on the identified body shape characteristics. Therefore, this application can solve problems such as mismatch between haptic output and occupant body shape, high energy consumption during system idling, and insufficient perception and adjustment capabilities. It achieves adaptive matching of haptic feedback intensity and intelligent start-stop of the system, reduces energy loss and unnecessary in-vehicle noise caused by idling, and improves the intelligence level and ease of use of the cockpit system.

[0064] It should be noted that the method of this embodiment can be executed by a single device, such as a computer or server. The method of this embodiment can also be applied to a distributed scenario, where multiple devices cooperate to complete the task. In such a distributed scenario, one of these devices may execute only one or more steps of the method of this embodiment, and the multiple devices will interact with each other to complete the above method.

[0065] It should be noted that the above description describes some embodiments of the present invention. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps described in the claims may be performed in a different order than that shown in the above embodiments and still achieve the desired results. Furthermore, the processes depicted in the drawings do not necessarily require a specific or sequential order to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0066] like Figure 11 The diagram shown is a schematic of an adaptive ergonomic comfort system provided in an embodiment of this application. The adaptive ergonomic comfort system includes: an occupant detection unit 1101, configured to acquire a first detection signal from a first sensor and a second detection signal from a second sensor; a control unit 1102, connected to the occupant detection unit 1101, configured to: determine whether an occupant is present on the target seat based on the first detection signal; in response to determining that an occupant is present on the target seat, identify the occupant's body shape characteristics based on the second detection signal; determine and execute the output intensity of the ergonomic comfort system that matches the identified body shape characteristics based on the identified body shape characteristics; and a disturbance intervention execution unit 1103, connected to the control unit 1102, for receiving and executing the output intensity determined by the control unit 1102.

[0067] Specifically, the occupant detection unit 1101 acquires a first detection signal from a first sensor and a second detection signal from a second sensor. The first sensor is mainly used to indicate whether an occupant is seated in the seat, while the second sensor reflects the occupant's body shape characteristics. The control unit 1102 analyzes the first detection signal to determine whether an occupant is seated. If an occupant is determined to be seated, the control unit 1102 retrieves the second detection signal to identify the occupant's body shape characteristics and generates a corresponding control command. The disturbance intervention execution unit 1103 receives the control command output by the control unit 1102 and completes the haptic feedback output. When the occupant detection unit 1101 detects that an occupant has left the seat, the control unit 1102 sends a stop operation command to the disturbance intervention execution unit 1103.

[0068] As an optional embodiment, the occupant detection unit includes: a first detection module, including at least one of a seatbelt reminder device, a capacitive sensor, and a pressure sensor; and a second detection module, including at least one of an array-type pressure pad, an in-cabin camera, a millimeter-wave radar sensor, a seatbelt pull-out length detection sensor, and a seat position motor current detection module.

[0069] Specifically, such as Figure 12 The diagram shows a schematic of the adaptive ergonomic comfort system framework provided in this application embodiment. The first detection module includes at least one of a seatbelt reminder device, a capacitive sensor, and a pressure sensor. The seatbelt reminder device detects the buckle engagement status. The capacitive sensor identifies whether an occupant is approaching the seat based on capacitance changes. The pressure sensor collects the basic pressure value of the seat bearing surface to preliminarily determine whether an occupant is present on the seat. The second detection module includes at least one of an array-type pressure pad, an in-cabin camera, a millimeter-wave radar sensor, a seatbelt pull-out length detection sensor, and a seat position motor current detection module. The array-type pressure pad can output multi-point pressure values ​​and form a pressure cloud map. The occupant's weight and posture are estimated based on the total pressure value and pressure distribution. The in-cabin camera obtains the occupant's body contour through image recognition. The millimeter-wave radar sensor can detect the occupant's body shape. The seatbelt pull-out length detection sensor assists in determining the occupant's body shape based on the length of the seatbelt pull-out. The components of the second detection module will only start working when the first detection module determines that there is a high probability of an occupant in the seat, reducing overall energy consumption.

[0070] As an optional embodiment, the disturbance intervention actuator includes at least one of a vibrator, an airbag, a pre-tensioned seat belt, a neck ventilation device, a seat heating pad, and a seat ventilation fan.

[0071] Specifically, please refer to Figure 12The system includes a vibrator for outputting vibrations, with the vibration intensity adjusted based on body shape. Airbags are located on the seat cushion and backrest, allowing for adjustment of inflation pressure and support travel according to the body shape of different occupants, conforming to their backs and buttocks. Pre-tensioned seat belts can adjust their pretension according to the output parameters corresponding to the occupant's body shape, preventing the restraint from being too loose or too tight due to body shape differences. The neck ventilation device delivers directional airflow to the occupant's neck area, adjusting the airflow intensity to adapt to the sitting position of different body types, improving the feeling of localized stuffiness. The seat heating pad can adjust its heating output power according to body shape, adapting to the heating needs of different body types. The seat ventilation fan changes the ventilation volume by adjusting its speed, matching the corresponding ventilation intensity to the seat contact area of ​​different body types, dissipating heat from the seat contact surface.

[0072] An adaptive haptic comfort system according to an embodiment of this application includes: an occupant detection unit configured to acquire a first detection signal from a first sensor and a second detection signal from a second sensor; a control unit connected to the occupant detection unit configured to: determine whether an occupant is present on a target seat based on the first detection signal; in response to determining that an occupant is present on the target seat, identify the occupant's body shape characteristics based on the second detection signal; determine and execute an output intensity of the haptic comfort system matching the identified body shape characteristics; and a disturbance intervention execution unit connected to the control unit, used to receive and execute the output intensity determined by the control unit. Therefore, this application can solve problems such as mismatch between haptic output and occupant body shape, high energy consumption during system idling, and insufficient perception and adjustment capabilities, achieving adaptive matching of haptic feedback intensity and intelligent start-stop of the system, reducing energy loss and unnecessary in-vehicle noise caused by idling, and improving the intelligence level and ease of use of the cabin system.

[0073] refer to Figure 13 This is a schematic diagram of the structure of an electronic device according to an embodiment of this application. The device may include: a processor 1310, a memory 1320, an input / output interface 1330, a communication interface 1340, and a bus 1350. The processor 1310, memory 1320, input / output interface 1330, and communication interface 1340 are interconnected within the device via the bus 1350.

[0074] The processor 1310 can be implemented using a general-purpose CPU (Central Processing Unit), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this specification.

[0075] The memory 1320 can be implemented in the form of ROM (Read Only Memory), RAM (Random Access Memory), static storage device, dynamic storage device, etc. The memory 1320 can store the operating system and other applications. When the technical solutions provided in the embodiments of this specification are implemented by software or firmware, the relevant program code is stored in the memory 1320 and is called and executed by the processor 1310.

[0076] The input / output interface 1330 is used to connect input / output modules to realize information input and output. The input / output modules can be configured as components in the device (not shown in the figure) or externally connected to the device to provide corresponding functions. Input devices may include keyboards, mice, touch screens, microphones, various sensors, etc., and output devices may include displays, speakers, vibrators, indicator lights, etc.

[0077] The communication interface 1340 is used to connect a communication module (not shown in the figure) to enable communication between this device and other devices. The communication module can communicate via wired means (such as USB, Ethernet cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.).

[0078] Bus 1350 includes a pathway for transmitting information between various components of the device, such as processor 1310, memory 1320, input / output interface 1330, and communication interface 1340.

[0079] It should be noted that although the above-described device only shows the processor 1310, memory 1320, input / output interface 1330, communication interface 1340, and bus 1350, in specific implementations, the device may also include other components necessary for normal operation. Furthermore, those skilled in the art will understand that the above-described device may only include the components necessary for implementing the embodiments of this specification, and not necessarily all the components shown in the figures.

[0080] The electronic devices described above are used to implement the corresponding adaptive haptic comfort system control method in any of the foregoing embodiments, and have the beneficial effects of the corresponding adaptive haptic comfort system control method embodiments, which will not be repeated here.

[0081] Based on the same concept, corresponding to the adaptive haptic comfort system control method provided in any of the above embodiments, this application also provides a computer-readable storage medium storing a program or instructions, which, when executed by a processor, implements the adaptive haptic comfort system control method as described in the first aspect.

[0082] The aforementioned computer-readable storage medium can be any available medium or data storage device that a computer can access, including but not limited to magnetic storage (e.g., floppy disks, hard disks, magnetic tapes, magneto-optical disks (MOs), etc.), optical storage (e.g., CDs, DVDs, BDs, HVDs, etc.), and semiconductor storage (e.g., ROMs, EPROMs, EEPROMs, non-volatile memory (NAND flash), solid-state drives (SSDs)).

[0083] The computer instructions stored in the storage medium of the above embodiments are used to cause the computer to execute the corresponding adaptive haptic comfort system control method in any of the foregoing embodiments, and have the beneficial effects of the corresponding adaptive haptic comfort system control method embodiments, which will not be repeated here.

[0084] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, it should be noted that the scope of the methods and apparatuses in the embodiments of this application is not limited to performing functions in the order shown or discussed, but may also include performing functions substantially simultaneously or in the reverse order, depending on the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0085] From the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of computer software products plus necessary general-purpose hardware platforms, and of course, they can also be implemented by hardware. The computer software product is stored in a storage medium (such as ROM, RAM, magnetic disk, optical disk, etc.) and includes several instructions to cause the terminal or network-side device to execute the methods described in the various embodiments of this application.

[0086] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other implementations under the guidance of this application without departing from the spirit and scope of the claims. All of these implementations are within the protection scope of this application.

Claims

1. A control method for an adaptive haptic comfort system, characterized in that, include: Acquire a first detection signal from a first sensor, and determine whether there is an occupant in the target seat based on the first detection signal; In response to determining that there is an occupant in the target seat, a second detection signal from the second sensor is acquired, and the body shape characteristics of the occupant are identified based on the second detection signal; Based on the identified body shape characteristics, the output intensity of the ergonomic comfort system that matches the body shape characteristics is determined and executed.

2. The adaptive ergonomic comfort system control method according to claim 1, characterized in that, The first sensor includes a seatbelt reminder device and a pressure sensor; The step of determining whether there is an occupant in the target seat based on the first detection signal includes: In response to the seatbelt reminder device being triggered and the pressure value detected by the pressure sensor exceeding a preset static threshold, it is determined that there is an occupant in the target seat.

3. The adaptive haptic comfort system control method according to claim 1, characterized in that, The first sensor includes a pressure sensor; The step of determining whether there is an occupant in the target seat based on the first detection signal includes: In response to the pressure distribution detected by the pressure sensor conforming to the preset human body pressure distribution characteristics, it is determined that there is an occupant in the target seat.

4. The adaptive ergonomic comfort system control method according to claim 1, characterized in that, The second sensor includes an array of pressure sensors arranged on the surface of the target seat; the body shape feature includes the occupant's weight; The step of identifying the occupant's body shape characteristics based on the second detection signal includes: The total pressure value collected by the array pressure sensor is determined based on the second detection signal, and the occupant's weight is determined based on the total pressure value.

5. The adaptive haptic comfort system control method according to claim 4, characterized in that, The method further includes: Based on the comparison results between the occupant's weight and one or more preset weight threshold ranges, the occupant's body type is divided into at least two categories.

6. The adaptive haptic comfort system control method according to claim 5, characterized in that, The step of determining and executing the output intensity of a haptic comfort system that matches the identified body shape characteristics includes: In response to the occupant's weight being less than a first weight threshold, the occupant's body type is determined to be small, and the output intensity of the ergonomic comfort system is reduced to below the default calibration intensity; In response to the occupant's weight being greater than a second weight threshold, the occupant's body type is determined to be large, and the output intensity of the ergonomic comfort system is increased to a level higher than the default calibration intensity; In response to the occupant's weight being greater than the first weight threshold and less than the second weight threshold, the occupant's body type is determined to be a standard body type, and the output intensity of the ergonomic comfort system is maintained at the default calibrated intensity.

7. The adaptive ergonomic comfort system control method according to claim 1, characterized in that, The method further includes: In response to determining, based on the first detection signal, that the occupant has left the target seat, the system is either turned off or put into a sleep state.

8. An adaptive haptic comfort system, characterized in that, include: The occupant detection unit is configured to acquire a first detection signal from a first sensor and a second detection signal from a second sensor; The control unit, connected to the occupant detection unit, is configured to: Based on the first detection signal, determine whether there is an occupant in the target seat; In response to determining that there is an occupant in the target seat, the body shape characteristics of the occupant are identified based on the second detection signal; Based on the identified body shape characteristics, determine and execute the output intensity of the ergonomic comfort system that matches the body shape characteristics; A disturbance intervention execution unit, connected to the control unit, is used to receive and execute the output intensity determined by the control unit.

9. The adaptive haptic comfort system according to claim 8, characterized in that, The occupant detection unit includes: The first detection module includes at least one of a seatbelt reminder device, a capacitive sensor, and a pressure sensor; The second detection module includes at least one of the following: an array-type pressure pad, an in-cabin camera, a millimeter-wave radar sensor, a seatbelt pull-out length detection sensor, and a seat position motor current detection module.

10. The adaptive haptic comfort system according to claim 8, characterized in that, The disturbance intervention unit includes at least one of the following: a vibrator, an airbag, a pre-tensioned seat belt, a neck ventilation device, a seat heating pad, and a seat ventilation fan.

11. A seat control unit, characterized in that, include: A processor and a memory, the memory storing a program or instructions executable on the processor, the program or instructions, when executed by the processor, implementing the steps of the adaptive haptic comfort system control method as described in any one of claims 1 to 7.

12. A computer-readable storage medium, characterized in that, The readable storage medium stores a program or instructions that, when executed by a processor, implement the steps of the adaptive haptic comfort system control method as described in any one of claims 1 to 7.

13. A vehicle, characterized in that, The adaptive haptic comfort system includes any one of claims 8 to 10.

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