Massage chair control method and system based on vehicle-mounted air source

Abstract

The invention provides a massage chair control method based on a vehicle-mounted air source, belongs to the technical field of control, and is applied to a massage chair control system comprising the vehicle-mounted air source, an air bag, a pressure sensor, a human body posture sensor and a controller. The method comprises the following steps: acquiring an initial massage strategy; a body pressure distribution model is constructed by combining the real-time posture data and the air bag pressure value, a fatigue feature area is recognized, a strategy is dynamically corrected, and a personalized massage sequence is generated; and dynamically calibrating the massage strategy according to the posture change of the user. According to the method, the layout of the system is optimized by multiplexing the vehicle-mounted air source, accurate massage is realized by utilizing dynamic modeling and self-adaptive adjustment, the method can adapt to the characteristics of the vehicle-mounted environment, the individuation and safety of massage can be improved, and the user experience is effectively improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of control, in particular to a massage chair control method and system based on a vehicle-mounted gas source. BACKGROUND

[0002] With the rapid development of the automobile industry and the upgrading of consumption, users' demand for vehicle comfort configurations is increasing, and the performance optimization of vehicle-mounted massage chairs, as an important configuration to improve the driving experience, has become a research hotspot. Traditional vehicle-mounted massage chairs mostly use independent air pumps as the air source, which has the problems of large size, high energy consumption, obvious noise, etc., and is difficult to adapt to the limited space and energy constraints in the vehicle. At the same time, the existing massage control method mostly uses fixed programs to perform air charging and discharging operations, which cannot dynamically adjust according to the user's body size, posture and fatigue state, and is prone to problems such as inadequate massage intensity and insufficient coverage of key areas, affecting the massage effect and user experience. In addition, the air source pressure fluctuates greatly in the vehicle environment, and if there is no adaptive adjustment mechanism, it may cause unstable massage intensity, and even cause safety hazards due to abnormal pressure. SUMMARY

[0003] The embodiments of the present application provide a massage chair control method based on a vehicle-mounted gas source to improve the above problems.

[0004] To achieve the above purpose, the technical scheme adopted by the present application is as follows: In a first aspect, the embodiments of the present application provide a massage chair control method based on a vehicle-mounted gas source. The method is applicable to a massage chair control system, and the massage chair control system includes a vehicle-mounted gas source, N air bags, N pressure sensors corresponding to the air bags, a human posture sensor, and a controller. The air bags are connected to the vehicle-mounted gas source. The method is applicable to the controller and includes the following steps: Obtaining an initial massage strategy at a target massage period, wherein the initial massage strategy is to control the N air bags to perform air charging and discharging operations in a preset order; Collecting real-time posture data based on the human posture sensor, and obtaining real-time pressure values of the corresponding air bags detected by the pressure sensors, to construct a user body pressure distribution model; Identifying a fatigue feature area of the user based on the body pressure distribution model, dynamically modifying the initial massage strategy according to the muscle tension parameters of the fatigue feature area, and generating a personalized massage sequence, wherein the modification rule includes: Extending the air charging and pressure maintaining time length of the air bags corresponding to the fatigue feature area, and increasing the air charging and discharging frequency; During the target massage period, performing air bag control according to the personalized massage sequence, continuously collecting posture change data of the user, and when detecting that the user posture change amplitude exceeds a preset range, automatically pausing the current massage operation and recalibrating the body pressure distribution model, and generating an adjusted massage strategy based on the new model.

[0005] In combination with the first aspect, real-time posture data is collected based on a human posture sensor, and real-time pressure values of corresponding airbags detected by each pressure sensor are obtained to construct a user body pressure distribution model, including: The real-time posture data is converted into three-dimensional human coordinate information, and installation position parameters of N airbags are obtained. Based on the mapping relationship between the pressure values and the human contact area, a pressure distribution heat map is obtained.

[0006] In combination with the first aspect, a fatigue feature area of the user is identified based on the body pressure distribution model, and an initial massage strategy is dynamically corrected according to a muscle tension parameter of the fatigue feature area to generate a personalized massage sequence, including: Based on the space-time variation law of the pressure values in the body pressure distribution model, and in combination with a preset human muscle group pressure threshold range, a pressure abnormal area is determined as the fatigue feature area.

[0007] In combination with the first aspect, a fatigue feature area of the user is identified based on the body pressure distribution model, and an initial massage strategy is dynamically corrected according to a muscle tension parameter of the fatigue feature area to generate a personalized massage sequence, including: According to the distribution density of the fatigue feature area, adjacent airbag control sequences corresponding to the fatigue feature areas are automatically merged to form a cooperative massage unit.

[0008] In combination with the first aspect, the method further includes: Massage preference parameters input by the user through an interactive device are received, and the preference parameters are integrated as constraint conditions into the generation process of the personalized massage sequence. The preference parameters include massage intensity preference, key area selection, and massage rhythm type.

[0009] In combination with the first aspect, the method further includes: After each target massage period ends, a massage effect evaluation report is generated based on the pressure change curve in the current massage process, the user posture adjustment frequency, and the abnormal data record, and the evaluation report is used as a basis for optimizing the subsequent initial massage strategy.

[0010] In the second aspect, the application provides a massage chair control system based on a vehicle-mounted gas source, characterized in that it includes a vehicle-mounted gas source, N airbags, N pressure sensors corresponding to the airbags, a human posture sensor, and a controller. The airbags are connected to the vehicle-mounted gas source. The system is configured to: An initial massage strategy for a target massage period is obtained. The initial massage strategy is to control the N airbags to perform inflation and deflation operations in a predetermined order. Real-time posture data is collected based on a human posture sensor, and real-time pressure values of corresponding airbags detected by each pressure sensor are obtained to construct a user body pressure distribution model. Based on a body pressure distribution model, fatigue characteristic regions of the user are identified. The initial massage strategy is dynamically adjusted according to the muscle tension parameters of these fatigue characteristic regions to generate a personalized massage sequence. The adjustment rules include: Extend the inflation and pressure holding time of airbags corresponding to fatigue characteristic areas and increase the inflation and deflation frequency; During the target massage cycle, airbag control is executed according to the personalized massage sequence, while continuously collecting user posture change data. When the user posture change exceeds the preset range, the current massage operation is automatically paused and the body pressure distribution model is recalibrated. An adjusted massage strategy is generated based on the new model.

[0011] The method according to claim 1 is characterized in that, based on real-time posture data collected by human posture sensors and the real-time pressure values ​​of the corresponding airbags detected by each pressure sensor, a user body pressure distribution model is constructed, including: Real-time posture data is converted into three-dimensional human body coordinate information, and the installation position parameters of N airbags are obtained. Based on the mapping relationship between multiple pressure values ​​and human body contact areas, a pressure distribution heat map is generated.

[0012] In conjunction with the second aspect, optionally, the system is configured as follows: Based on a body pressure distribution model, fatigue characteristic regions of the user are identified. The initial massage strategy is dynamically adjusted according to the muscle tension parameters of these fatigue characteristic regions to generate a personalized massage sequence, including: Based on the spatiotemporal variation of pressure values ​​in the body pressure distribution model, and combined with the preset pressure threshold range of human muscle groups, abnormal pressure areas are identified as fatigue characteristic areas.

[0013] In conjunction with the second aspect, optionally, the system is configured as follows: Based on a body pressure distribution model, fatigue characteristic regions of the user are identified. The initial massage strategy is dynamically adjusted according to the muscle tension parameters of these fatigue characteristic regions to generate a personalized massage sequence, including: Based on the distribution density of fatigue characteristic regions, the airbag control sequences corresponding to adjacent fatigue characteristic regions are automatically merged to form a collaborative massage unit.

[0014] In conjunction with the second aspect, optionally, the system is configured as follows: The system receives massage preference parameters input by the user through an interactive device and incorporates these parameters as constraints into the generation process of a personalized massage sequence. The preference parameters include massage intensity preference, key area selection, and massage rhythm type.

[0015] In conjunction with the second aspect, optionally, the system is configured as follows: After each target massage cycle, a massage effect evaluation report is generated based on the pressure change curve, user posture adjustment frequency, and abnormal data records during the massage process. The evaluation report is used as the basis for optimizing subsequent initial massage strategies.

[0016] Thirdly, embodiments of this application provide a vehicle characterized by comprising: Vehicle body; Vehicle-mounted air source, the vehicle-mounted air source is installed in the vehicle body, and For example, the second aspect proposes a massage chair control system based on a vehicle-mounted air source.

[0017] A fourth aspect of this invention provides an electronic device, the electronic device comprising: At least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method proposed in the first aspect of the present invention.

[0018] A fifth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method as described in the first aspect of the present invention.

[0019] In summary, the above methods and systems have the following technical effects: This application provides a massage chair control method based on an on-board air source, belonging to the field of control technology, and applied to a massage chair control system including an on-board air source, airbags, pressure sensors, human posture sensors, and a controller. The method includes: acquiring an initial massage strategy; constructing a body pressure distribution model by combining real-time posture data and airbag pressure values, identifying fatigue characteristic areas and dynamically correcting the strategy to generate a personalized massage sequence; and dynamically calibrating the massage strategy according to changes in user posture. This invention optimizes the system layout by reusing the on-board air source and achieves precise massage through dynamic modeling and adaptive adjustment. It adapts to the characteristics of the on-board environment, enhances the personalization and safety of the massage, and effectively improves the user experience. Attached Figure Description

[0020] Figure 1 This is a flowchart illustrating a massage chair control method based on a vehicle-mounted air source proposed in an embodiment of this application. Detailed Implementation

[0021] 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, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0022] This application provides a vehicle, which can be one of a gasoline-powered vehicle, an electric vehicle, a range-extended electric vehicle, or a hybrid vehicle. The vehicle includes a body, a power unit, and an on-board air source. The on-board air source is fixedly mounted on the vehicle body.

[0023] The on-board air source may include an air compressor, multiple molecular sieve tanks, multiple air storage tanks, a valve assembly, and an air source controller. The molecular sieve tanks are connected to the air compressor; the air storage tanks are connected to the molecular sieve tanks, wherein at least one air storage tank is used to store nitrogen; the air source controller is connected to the valve assembly and the air compressor.

[0024] Understandably, the air compressor serves as the gas source; multiple molecular sieve tanks are connected downstream of the air compressor to separate nitrogen from the air; multiple gas storage tanks are connected after the molecular sieve tanks to store the separated gas, with at least one storage tank specifically for storing high-purity nitrogen; valve assemblies are used to precisely control the flow and on / off of gas between various components; and the gas source controller acts as the brain of the system, connecting and coordinating the actions of the valve assemblies and the start and stop of the air compressor to ensure that the entire system operates efficiently and reliably on demand, providing the required gas source for the vehicle.

[0025] In this embodiment, the vehicle air source is used to provide kinetic energy to the massage system. This application proposes a massage chair control method based on a vehicle-mounted air source. The method is applicable to a massage chair control system, which includes a vehicle-mounted air source, N airbags, N pressure sensors corresponding one-to-one with the airbags, a human posture sensor, and a controller. The airbags are connected to the vehicle-mounted air source. The method is applicable to the controller. Please refer to [link to relevant documentation]. Figure 1 The method includes the following steps: S101: Obtain the initial massage strategy for the target massage cycle. The initial massage strategy is to control N airbags to perform inflation and deflation operations in a preset order.

[0026] Understandably, when acquiring the initial massage strategy for the target massage cycle, the controller first calls the basic massage program library pre-stored in the system. This library contains standardized airbag control logic designed for different driving scenarios. The initial massage strategy is centered on a sequence of instructions that inflate and deflate N airbags in a preset order. This preset order is based on ergonomic principles, typically with airbags sequentially acting on key areas such as the back, waist, and legs, forming a basic massage rhythm that progresses from shallow to deep and from localized to overall. The inflation and deflation of each airbag is associated with a basic pressure threshold range and action duration parameters to ensure that the massage intensity is within a safe and comfortable range. The initial strategy can be initially adapted by interacting with the vehicle system to obtain the current vehicle status, providing a baseline framework for subsequent personalized adjustments.

[0027] S102: Based on the human posture sensor, collect real-time posture data and obtain the real-time pressure value of the corresponding airbag detected by each pressure sensor to construct a user body pressure distribution model.

[0028] Understandably, when constructing the user's body pressure distribution model, human posture sensors capture the user's three-dimensional posture data in real time, such as sitting angle and body tilt, and simultaneously convert it into spatial coordinates of various parts of the body on the massage chair. At the same time, each pressure sensor continuously collects the real-time pressure values ​​of its corresponding airbags, generating pressure change curves over time. The controller performs spatiotemporal matching of posture and pressure data, combining this with airbag installation location parameters (such as zoning information for the upper / middle / lower back and front / back of the legs), to establish a mapping relationship between pressure values ​​and the areas of contact with the body. Through algorithmic interpolation of the discrete pressure data, a dynamic pressure distribution heatmap covering all contact areas of the user's body is generated, visually presenting the pressure intensity differences in different body regions. This provides a quantitative analysis basis for subsequent identification of fatigue-related areas, enabling the model to reflect the real-time interaction between the user's body and the massage chair.

[0029] For example, real-time posture data is converted into three-dimensional human body coordinate information, and the installation position parameters of N airbags are obtained. Based on the mapping relationship between multiple pressure values ​​and human body contact areas, a pressure distribution heat map is generated.

[0030] Understandably, when converting real-time posture data into three-dimensional human body coordinate information, the controller first performs coordinate transformation on the angle, displacement, and other data collected by the human posture sensor to generate three-dimensional coordinates of key parts of the human body using the massage chair as the reference coordinate system. Simultaneously, it retrieves pre-stored installation position parameters for N airbags, including the spatial position of each airbag in the coordinate system and its corresponding human body region. Then, it matches the real-time pressure values ​​of each airbag with the three-dimensional human body coordinates, and uses an interpolation algorithm to map the discrete pressure data to the corresponding human body contact area, generating a dynamically updated pressure distribution heatmap that visually displays the pressure intensity in different areas, achieving spatial visualization of the pressure data.

[0031] S103: Based on a body pressure distribution model, identify the user's fatigue characteristic regions, dynamically adjust the initial massage strategy according to the muscle tension parameters of the fatigue characteristic regions, and generate a personalized massage sequence. The adjustment rules include: Extend the inflation and pressure holding time of the airbags corresponding to the fatigue characteristic areas and increase the inflation and deflation frequency.

[0032] When identifying fatigue-prone areas based on a body pressure distribution model, the controller analyzes persistently abnormal pressure areas in the heatmap (such as areas with high pressure values ​​and low frequency of change), and combines this with the distribution characteristics of human muscle groups to locate fatigue areas with high muscle tension. For these areas, the controller applies correction rules: extending the inflation and pressure-holding time of the corresponding airbags beyond the initial strategy to enhance the sustained soothing effect on tense muscles; and simultaneously increasing the inflation and deflation frequency of the airbags in these areas to promote local blood circulation through more frequent pressure changes. The resulting personalized massage sequence accurately matches the user's actual fatigue state, making the massage more focused on the areas needing relief, thus improving the targeting and effectiveness of the massage.

[0033] For example, based on the spatiotemporal variation of pressure values ​​in the body pressure distribution model, combined with the preset pressure threshold range of human muscle groups, abnormal pressure areas can be identified as fatigue characteristic areas.

[0034] Understandably, when identifying fatigue-prone areas based on a body pressure distribution model, the controller first analyzes the spatiotemporal variation patterns of pressure values: in the time dimension, it tracks the duration, fluctuation frequency, and amplitude of pressure values ​​in each area during the massage process; in the spatial dimension, it observes the distribution density and gradient differences of pressure values ​​in different body areas. Simultaneously, the system invokes preset pressure threshold ranges for human muscle groups. These thresholds are set based on ergonomic research and include the pressure ranges of different muscle groups in a normal relaxed state. When the pressure value in a certain area exceeds the normal threshold range for the corresponding muscle group, and this abnormal state is persistent in the time dimension (e.g., persistently high pressure or abnormally slow fluctuations), the area is identified as a pressure abnormality area, i.e., the user's fatigue-prone area, thereby achieving precise localization of muscle tension.

[0035] Optionally, based on the distribution density of fatigue feature regions, the airbag control sequences corresponding to adjacent fatigue feature regions are automatically merged to form a collaborative massage unit.

[0036] Understandably, when the identified fatigue feature areas are densely distributed, the controller will determine the positional correlation between adjacent areas and automatically merge the airbag control sequences corresponding to these areas to form a collaborative massage unit. The airbags within this unit synchronously inflate and deflate, enhancing the massage intensity and range on concentrated fatigue areas through synergistic action, thus improving the overall soothing effect.

[0037] S104: During the target massage cycle, airbag control is executed according to the personalized massage sequence, while continuously collecting user posture change data. When the user posture change exceeds the preset range, the current massage operation is automatically paused and the body pressure distribution model is recalibrated. An adjusted massage strategy is generated based on the new model.

[0038] Understandably, within the target massage cycle, the controller precisely controls the inflation and deflation of each airbag according to the personalized massage sequence, ensuring the massage is performed at the set rhythm and intensity. Simultaneously, the human posture sensor continuously captures changes in the user's sitting posture, such as body tilt angle and limb position shifts. When these changes exceed the system's preset normal range (e.g., significant body twisting or obvious posture adjustment), the controller immediately pauses the current massage operation to avoid misalignment or uncomfortable pressure caused by posture changes. Subsequently, the system re-collects the posture data and real-time pressure values ​​of each airbag, calibrates and updates the body pressure distribution model, and then generates an adjusted massage strategy matching the current posture based on the new model. This ensures that subsequent massages can still accurately target the corresponding areas of the user's body, maintaining the effectiveness and comfort of the massage.

[0039] Optionally, the system can receive massage preference parameters input by the user through an interactive device and incorporate these preference parameters as constraints into the generation process of a personalized massage sequence. The preference parameters include massage intensity preference, key area selection, and massage rhythm type.

[0040] The system allows users to input their personal massage preferences via interactive devices (such as in-vehicle touchscreens, voice commands, or physical buttons). These parameters include preferences for massage intensity (e.g., gentle, moderate, strong), desired areas of the body to be massaged (e.g., lower back, shoulders, neck, etc.), and preferred massage rhythm (e.g., soothing, rapid, alternating). When generating a personalized massage sequence, the controller incorporates these user preferences as constraints into its calculations. While generating a basic strategy based on fatigue-prone areas, it adjusts parameters such as the pressure threshold and inflation / deflation frequency of the corresponding airbags to ensure that the final massage plan matches both the user's actual fatigue state and their personal usage habits.

[0041] Optionally, after each target massage cycle, a massage effect evaluation report is generated based on the pressure change curve, user posture adjustment frequency, and abnormal data records during the massage process, and the evaluation report is used as the basis for optimizing subsequent initial massage strategies.

[0042] Understandably, this report will serve as a basis for optimization, used to adjust the parameter settings of subsequent initial massage strategies (such as the basic pressure threshold, airbag action sequence, etc.) so that the initial strategy gradually aligns with the user's long-term usage habits, thereby achieving continuous optimization of the massage effect.

[0043] This application provides a massage chair control method based on an on-board air source, applied to a massage chair control system including an on-board air source, airbags, pressure sensors, human posture sensors, and a controller. The method includes: acquiring an initial massage strategy; constructing a body pressure distribution model by combining real-time posture data and airbag pressure values, identifying fatigue characteristic areas and dynamically correcting the strategy to generate a personalized massage sequence; and dynamically calibrating the massage strategy based on changes in user posture. This invention optimizes the system layout by reusing the on-board air source and achieves precise massage through dynamic modeling and adaptive adjustment. It adapts to the characteristics of the on-board environment, enhances the personalization and safety of the massage, and effectively improves the user experience.

[0044] Based on the same inventive concept, this application also proposes a massage chair control system based on a vehicle-mounted air source, characterized in that it includes a vehicle-mounted air source, N airbags, N pressure sensors corresponding one-to-one with the airbags, a human posture sensor, and a controller. The airbags are connected to the vehicle-mounted air source, and the system is configured as follows: The initial massage strategy for the target massage cycle is obtained. The initial massage strategy is to control N airbags to perform inflation and deflation operations in a preset order. Based on the real-time posture data collected by the human posture sensor, and the real-time pressure values ​​of the corresponding airbags detected by each pressure sensor, a user body pressure distribution model is constructed. Based on a body pressure distribution model, fatigue characteristic regions of the user are identified. The initial massage strategy is dynamically adjusted according to the muscle tension parameters of these fatigue characteristic regions to generate a personalized massage sequence. The adjustment rules include: Extend the inflation and pressure holding time of airbags corresponding to fatigue characteristic areas and increase the inflation and deflation frequency; During the target massage cycle, airbag control is executed according to the personalized massage sequence, while continuously collecting user posture change data. When the user posture change exceeds the preset range, the current massage operation is automatically paused and the body pressure distribution model is recalibrated. An adjusted massage strategy is generated based on the new model.

[0045] The method according to claim 1 is characterized in that, based on real-time posture data collected by human posture sensors and the real-time pressure values ​​of the corresponding airbags detected by each pressure sensor, a user body pressure distribution model is constructed, including: Real-time posture data is converted into three-dimensional human body coordinate information, and the installation position parameters of N airbags are obtained. Based on the mapping relationship between multiple pressure values ​​and human body contact areas, a pressure distribution heat map is generated.

[0046] Optionally, the system is configured as follows: Based on a body pressure distribution model, fatigue characteristic regions of the user are identified. The initial massage strategy is dynamically adjusted according to the muscle tension parameters of these fatigue characteristic regions to generate a personalized massage sequence, including: Based on the spatiotemporal variation of pressure values ​​in the body pressure distribution model, and combined with the preset pressure threshold range of human muscle groups, abnormal pressure areas are identified as fatigue characteristic areas.

[0047] Optionally, the system is configured as follows: Based on a body pressure distribution model, fatigue characteristic regions of the user are identified. The initial massage strategy is dynamically adjusted according to the muscle tension parameters of these fatigue characteristic regions to generate a personalized massage sequence, including: Based on the distribution density of fatigue characteristic regions, the airbag control sequences corresponding to adjacent fatigue characteristic regions are automatically merged to form a collaborative massage unit.

[0048] Optionally, the system is configured as follows: The system receives massage preference parameters input by the user through an interactive device and incorporates these parameters as constraints into the generation process of a personalized massage sequence. The preference parameters include massage intensity preference, key area selection, and massage rhythm type.

[0049] Optionally, the system is configured as follows: After each target massage cycle, a massage effect evaluation report is generated based on the pressure change curve, user posture adjustment frequency, and abnormal data records during the massage process. The evaluation report is used as the basis for optimizing subsequent initial massage strategies.

[0050] This application provides a massage chair control system based on an in-vehicle air source, applied to a massage chair control system including an in-vehicle air source, airbags, pressure sensors, human posture sensors, and a controller. The method includes: acquiring an initial massage strategy; constructing a body pressure distribution model by combining real-time posture data and airbag pressure values, identifying fatigue characteristic areas and dynamically correcting the strategy to generate a personalized massage sequence; and dynamically calibrating the massage strategy based on changes in user posture. This invention optimizes the system layout by reusing the in-vehicle air source and achieves precise massage through dynamic modeling and adaptive adjustment. It adapts to the characteristics of the in-vehicle environment, enhances the personalization and safety of the massage, and effectively improves the user experience.

[0051] Based on the same inventive concept, embodiments of this application also propose an electronic device, which includes: At least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the massage chair control method based on a vehicle-mounted air source according to the embodiments of this application.

[0052] Furthermore, to achieve the above objectives, embodiments of this application also propose a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the massage chair control method based on a vehicle-mounted air source according to embodiments of this application.

[0053] The following is a detailed introduction to the various components of the electronic device: In this context, the processor is the control center of the electronic device. It can be a single processor or a collective term for multiple processing elements. For example, a processor can be one or more central processing units (CPUs), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement embodiments of the present invention, such as one or more digital signal processors (DSPs), or one or more field-programmable gate arrays (FPGAs).

[0054] Alternatively, the processor can perform various functions of the electronic device by running or executing software programs stored in memory and by calling data stored in memory.

[0055] The memory is used to store the software program that executes the solution of the present invention, and the execution is controlled by the processor. The specific implementation method can be referred to the above method embodiment, which will not be repeated here.

[0056] Optionally, the memory can be read-only memory (ROM) or other types of static storage devices capable of storing static information and instructions, random access memory (RAM) or other types of dynamic storage devices capable of storing information and instructions, or electrically erasable programmable read-only memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but not limited thereto. The memory can be integrated with the processor or exist independently and coupled to the processor through an interface circuit of an electronic device; the embodiments of the present invention do not specifically limit this.

[0057] A transceiver is used to communicate with network devices or with terminal devices.

[0058] Optionally, the transceiver may include a receiver and a transmitter. The receiver is used to implement the receiving function, and the transmitter is used to implement the sending function.

[0059] Optionally, the transceiver can be integrated with the processor or exist independently and coupled to the processor through the router's interface circuit. This embodiment of the invention does not specifically limit this.

[0060] Furthermore, the technical effects of the electronic device can be referred to the technical effects of the data transmission method in the above method embodiments, and will not be repeated here.

[0061] It should be understood that the processor in the embodiments of the present invention can be a central processing unit (CPU), or it can be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.

[0062] It should also be understood that the memory in the embodiments of the present invention can be volatile memory or non-volatile memory, or may include both volatile and non-volatile memory. The non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. The volatile memory can be random access memory (RAM), which is used as an external cache. By way of example, but not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate synchronous DRAM (DDRSDRAM), enhanced synchronous DRAM (ESDRAM), synchronous linked DRAM (SLDRAM), and direct rambus RAM (DRRAM).

[0063] The above embodiments can be implemented, in whole or in part, by software, hardware (such as circuits), firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, as a computer program product. A computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, all or part of the flow or function according to the embodiments of the present invention is generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. Computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., infrared, wireless, microwave, etc.) means. A computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more sets of available media. Available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media. Semiconductor media can be solid-state drives.

[0064] It should be understood that the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. A and B can be singular or plural. Additionally, the character " / " in this article generally indicates an "or" relationship between the preceding and following related objects, but it can also represent an "and / or" relationship. Please refer to the context for a more accurate understanding.

[0065] In this invention, "at least one" means one or more, and "more than one" means two or more. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of a single item or a plurality of items. For example, at least one of a, b, or c can represent: a, b, c, ab, ac, bc, or abc, where a, b, and c can be a single item or multiple items.

[0066] It should be understood that, in various embodiments of the present invention, the order of the above-mentioned process numbers does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0067] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

Claims

1. A massage chair control method based on a vehicle-mounted air source, characterized in that, The method is applicable to a massage chair control system, which includes a vehicle-mounted air source, N airbags, N pressure sensors corresponding one-to-one with the airbags, a human posture sensor, and a controller. The airbags are connected to the vehicle-mounted air source, and the method is applicable to the controller, including: The initial massage strategy for obtaining the target massage cycle is to control the N airbags to perform inflation and deflation operations in a preset order. Based on the human posture sensor, real-time posture data is collected, and the real-time pressure values ​​of the corresponding airbags detected by each pressure sensor are obtained to construct a user body pressure distribution model. Based on the body pressure distribution model, fatigue characteristic regions of the user are identified. The initial massage strategy is dynamically adjusted according to the muscle tension parameters of these fatigue characteristic regions to generate a personalized massage sequence. The adjustment rules include: The inflation and pressure holding time of the airbags corresponding to the fatigue characteristic areas is extended, and the inflation and deflation frequency is increased. During the target massage cycle, airbag control is performed according to the personalized massage sequence, while continuously collecting the user's posture change data. When the user's posture change exceeds the preset range, the current massage operation is automatically paused and the body pressure distribution model is recalibrated. An adjusted massage strategy is generated based on the new model.

2. The method according to claim 1, characterized in that, Based on the real-time posture data collected by the human posture sensor and the real-time pressure values ​​of the corresponding airbags detected by each pressure sensor, a user body pressure distribution model is constructed, including: The real-time posture data is converted into three-dimensional human body coordinate information, and the installation position parameters of N airbags are obtained. Based on the mapping relationship between multiple pressure values ​​and human body contact areas, a pressure distribution heat map is generated.

3. The method according to claim 1, characterized in that, Based on the body pressure distribution model, fatigue characteristic regions of the user are identified. The initial massage strategy is dynamically adjusted according to the muscle tension parameters of these fatigue characteristic regions to generate a personalized massage sequence, including: Based on the spatiotemporal variation pattern of the pressure value in the body pressure distribution model, and combined with the preset human muscle group pressure threshold range, the pressure abnormal area is determined as the fatigue characteristic area.

4. The method according to claim 1, characterized in that, Based on the body pressure distribution model, fatigue characteristic regions of the user are identified. The initial massage strategy is dynamically adjusted according to the muscle tension parameters of these fatigue characteristic regions to generate a personalized massage sequence, including: Based on the distribution density of the fatigue feature regions, the airbag control sequences corresponding to adjacent fatigue feature regions are automatically merged to form a collaborative massage unit.

5. The method according to claim 1, characterized in that, The method further includes: The system receives massage preference parameters input by the user through an interactive device and incorporates these preference parameters as constraints into the generation process of the personalized massage sequence. The preference parameters include massage intensity preference, key area selection, and massage rhythm type.

6. The method according to claim 1, characterized in that, The method further includes: After each target massage cycle, a massage effect evaluation report is generated based on the pressure change curve, user posture adjustment frequency, and abnormal data records during the massage process. The evaluation report is used as the basis for optimizing subsequent initial massage strategies.

7. A massage chair control system based on a vehicle-mounted air source, characterized in that, The system includes an on-board air source, N airbags, N pressure sensors corresponding one-to-one with each airbag, a human posture sensor, and a controller. The airbags are connected to the on-board air source. The method is applicable to the controller. The system is configured as follows: The initial massage strategy for obtaining the target massage cycle is to control the N airbags to perform inflation and deflation operations in a preset order. Based on the human posture sensor, real-time posture data is collected, and the real-time pressure values ​​of the corresponding airbags detected by each pressure sensor are obtained to construct a user body pressure distribution model. Based on the body pressure distribution model, fatigue characteristic regions of the user are identified. The initial massage strategy is dynamically adjusted according to the muscle tension parameters of these fatigue characteristic regions to generate a personalized massage sequence. The adjustment rules include: The inflation and pressure holding time of the airbags corresponding to the fatigue characteristic areas is extended, and the inflation and deflation frequency is increased. During the target massage cycle, airbag control is performed according to the personalized massage sequence, while continuously collecting the user's posture change data. When the user's posture change exceeds the preset range, the current massage operation is automatically paused and the body pressure distribution model is recalibrated. An adjusted massage strategy is generated based on the new model.

8. A vehicle, characterized in that, include: Vehicle body; A vehicle-mounted air source, wherein the vehicle-mounted air source is installed in the vehicle body, and A massage chair control system based on a vehicle-mounted air source as described in claim 7.

9. An electronic device, characterized in that, include: At least one processor; And, a memory communicatively connected to at least one of the processors; The memory stores instructions executable by at least one of the processors, which are executed by at least one of the processors to enable the at least one processor to perform the method as claimed in any one of claims 1-6.

10. A computer-readable storage medium, characterized in that, It stores a computer program that, when executed by a processor, implements the method as claimed in any one of claims 1-6.

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