Intelligently adjustable seat cushion

Abstract

The utility model relates to an intelligent adjustment seat cushion, including: data acquisition unit module, data algorithm processing module and intelligent control unit module, the data acquisition unit includes flexible pressure sensor array, flexible pressure sensor array is integrated in the inside of the seat cushion of seat cushion according to array rule, the flexible pressure sensor array is connected with the data algorithm processing module, and the intelligent control unit module is connected with the data algorithm processing module. The pressure sensor is used for collecting the pressure value on the cushion. According to the intelligent adjusting seat cushion disclosed by the utility model, the sitting posture of a human body is obtained through a posture recognition algorithm, and the sitting posture of the human body is recognized, so that corresponding intelligent air bag adjustment and massage adjustment are performed. The waist can be more comfortable and protected, and human body skeleton changes and even a series of spinal diseases caused by bad sitting postures are avoided. Meanwhile, the intelligent alarm function is achieved, the better monitoring effect is achieved, the sedentariness reminding function is achieved, and the user is reminded to make a response in time and adjust and correct the sitting posture.

Description

Technical Field

[0001] The utility model relates to the technical field of flexible sensors, in particular to an intelligently adjustable seat cushion. Background Art

[0002] At present, the types of products that can adjust the back and waist include furniture products such as chairs, sofas, back cushions, waist pads and beds, as well as automotive products. The main problem with these products is that they are fixed in shape and cannot be adjusted automatically, or the adjustment method is single and cannot meet the individual comfort needs. In particular, they cannot take into account the needs of special groups, such as the elderly, patients with special body injuries, and the disabled.

[0003] In view of the problems existing in the above-mentioned traditional products, a seat cushion that can be intelligently adjusted through posture recognition can meet the needs that the above-mentioned traditional products cannot meet, and can also improve the intelligence of the seat cushion. Utility Model Content

[0004] The technical problem solved by the utility model is to provide an intelligently adjustable seat cushion.

[0005] The technical solution adopted by the utility model to solve its technical problems is:

[0006] An intelligently adjustable seat cushion comprises: a data acquisition unit module, a data algorithm processing module and an intelligent control unit module;

[0007] The data acquisition unit comprises a flexible pressure sensor array, which is regularly integrated and arranged inside the seat cushion of the seat cushion in an array, and is used to collect the pressure value on the seat cushion;

[0008] The data algorithm processing module includes a main control MCU for calculation processing and core control, a memory unit SRAM for software system operation and temporary data storage, and a memory unit FLASH for data storage, wherein the memory unit stores control software and posture recognition algorithm; the data algorithm processing module collects data from all flexible pressure sensor arrays in the seat cushion through an ADC analog-to-digital converter, and calculates and recognizes the posture of a human body sitting on the seat cushion through the posture recognition algorithm;

[0009] The intelligent control unit module includes a backrest adjustment module, a massage module, a heating module and a voice interaction module, the backrest adjustment module includes the airbag, the massage module includes a plurality of vibration motors and vibration blocks, the heating module includes a nanomaterial heating fabric based on carbon nanomaterials, and the voice interaction module includes a speaker for outputting voice and a microphone for inputting voice; the massage module is regularly integrated inside the back cushion for vibrating and tapping the waist, spine and shoulders of the human body, the nanomaterial heating fabric is regularly integrated inside the seat cushion or the seat cushion and the back cushion for heating the seat cushion, and the voice interaction module is used for human-computer interaction and reminders of bad postures of the human body.

[0010] Furthermore, the data acquisition unit module also includes an air pressure sensor and a temperature sensor. The air pressure sensor is regularly integrated and arranged inside the cushion of the seat cushion or at the air port of the airbag inside the headrest to collect the air pressure value of the airbag; the temperature sensors are regularly integrated and arranged inside the seat cushion to collect the temperature value of the seat cushion;

[0011] Furthermore, four flexible pressure sensor arrays are regularly arranged on the seat cushion, and are regularly arranged in the front, back, left and right areas of the seat cushion, respectively forming a left front sensor array, a right front sensor array, a left rear sensor array and a right rear sensor array, and the seat cushion is divided into four equal parts in a 2×2 design to form an intelligently adjustable seat cushion based on recognition by four flexible pressure sensors; the left front sensor array, the right front sensor array, the left rear sensor array and the right rear sensor array collect respective pressure values ​​through an ADC analog-to-digital converter, and perform posture recognition through a posture algorithm to identify the front sitting posture, the back sitting posture, the sitting-out posture and the center posture.

[0012] Furthermore, nine flexible pressure sensor arrays are regularly arranged on the seat cushion of the seat cushion, and are regularly arranged in the front, middle, rear, left, middle and right nine areas of the seat cushion to form a left front sensor array, a front middle sensor array, a right front sensor array, a left middle sensor array, a middle sensor array, a right middle sensor array, a left rear sensor array, a rear middle sensor array and a right rear sensor array, and the seat cushion is divided into nine equal parts in a 3×3 design to form an intelligent adjustable seat cushion based on recognition by nine flexible pressure sensors; the left front sensor array, the front middle sensor array, the right front sensor array, the left middle sensor array, the middle sensor array, the right middle sensor array, the left rear sensor array, the rear middle sensor array and the right rear sensor array collect their respective pressure values ​​through an ADC analog-to-digital converter, and perform posture recognition through a posture recognition algorithm to identify the front sitting posture, the back sitting posture, the sitting posture, the centering posture, the left leg raised posture and the right leg raised posture.

[0013] Furthermore, the seat cushion also includes a data interface module, and the data interface module communicates and interacts with an external vehicle system or computer system through a data cable.

[0014] Furthermore, the seat cushion also includes a wireless module and a remote control software module. The wireless module communicates and interacts wirelessly with the vehicle system or the mobile device. The remote control software module is installed on the vehicle system or the mobile device to facilitate remote control of the vehicle system or the mobile device.

[0015] The beneficial effects of the utility model are:

[0016] The intelligently adjustable seat cushion of the utility model uses a posture recognition algorithm to learn the sitting posture of the human body, recognize the sitting posture of the human body, and make corresponding intelligent airbag adjustments and massage adjustments. It can make the waist more comfortable and protect the waist, and also prevent bad sitting posture from changing the human skeleton and even inducing a series of spinal diseases. At the same time, by having an intelligent alarm function, it has a better monitoring effect and a sedentary reminder function, which reminds the user to respond in time and adjust the correct sitting posture. When the user sits for a long time, or in a certain posture for a long time, an alarm is issued. It can meet the needs of special groups, such as the elderly, patients with special injuries, and the disabled. At the same time, a voice interaction module is integrated to facilitate the user's voice adjustment. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a system module diagram of the utility model;

[0018] Figure 2 It is a specific unit module diagram and interaction diagram of the system module of the utility model;

[0019] Figure 3 It is a module diagram of the flexible pressure sensor array unit in the first embodiment of the utility model;

[0020] Figure 4 The pressure data collected by the flexible pressure sensor array unit in the first embodiment of the utility model;

[0021] Figure 5 This is a communication interaction diagram between the air pressure sensor and the temperature sensor and the MCU in the first embodiment of the utility model;

[0022] Figure 6 It is a module diagram of a flexible pressure sensor array unit in a second embodiment of the present utility model;

[0023] Figure 7The pressure data collected by the flexible pressure sensor array unit in the second embodiment of the utility model;

[0024] Figure 8 This is a communication interaction diagram between the air pressure sensor, the temperature sensor and the MCU in the second embodiment of the utility model. DETAILED DESCRIPTION

[0025] In order to make the above-mentioned purposes, features and advantages of the utility model more obvious and easy to understand, the specific implementation methods of the utility model are described in detail below in conjunction with the accompanying drawings. In the following description, many specific details are set forth to facilitate a full understanding of the utility model. However, the utility model can be implemented in many other ways different from those described herein, and those skilled in the art can make similar improvements without violating the connotation of the utility model, so the utility model is not limited by the specific embodiments disclosed below.

[0026] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art in the technical field of the present invention. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items.

[0027] like Figure 1 As shown, the utility model provides an intelligently adjustable seat cushion, including a data acquisition unit module based on a flexible sensor array, a data algorithm processing module based on a main control MCU processor, and an intelligent adjustment unit module.

[0028] like Figure 1 and Figure 2 As shown, the data acquisition unit module includes several different types of sensors for data acquisition, which are integrated inside the seat cushion to collect pressure data, air pressure data, temperature data, etc. on the seat cushion, including but not limited to a flexible pressure sensor array, an air pressure sensor, and several temperature sensors.

[0029] The flexible pressure sensor array is used to collect pressure data of the seat cushion, the air pressure sensor is used to collect air pressure data of the airbag inside the seat cushion, and the temperature sensor is used to collect temperature data of the seat cushion. All data collected by the sensors are transmitted to the main control MCU processor, which calculates, processes and analyzes the data.

[0030] like Figure 1 and Figure 2As shown, the data algorithm processing module includes a main control MCU for calculation processing and core control, a memory unit (SRAM) for software system operation and temporary data storage, and a memory unit (FLASH) for data storage. Various types of sensor analog data (pressure data, air pressure data, temperature data, etc.) collected by the data acquisition unit module are converted into various types of sensor digital signals through an independent ADC converter or an AD conversion unit in the main control MCU, and the software in the data algorithm processing module performs data processing, calculation and analysis to obtain the pressure state, air pressure state and temperature state of the seat cushion. The sitting posture of the human body is analyzed through the pressure data of the seat cushion, and the posture recognition of the human body sitting posture is realized, providing a basic reference for the subsequent intelligent adjustment or reminder of the seat cushion.

[0031] Through the recognition of the sitting posture of the human body, the massage module and the backrest adjustment module are intelligently adjusted, so that when using it, the waist can get a more comfortable experience and have a protective effect on the waist, and it can also prevent the changes in the human skeleton caused by bad sitting posture and even induce a series of spinal diseases. At the same time, the massage module vibrates, knocks or rolls the waist or shoulders of the human body, so as to massage and relax the waist or shoulders of the human body.

[0032] like Figure 1 and Figure 2 As shown, the intelligent adjustment unit module includes a backrest adjustment module, a massage module, a heating module and a voice interaction module. Among them:

[0033] The backrest adjustment module is used to adjust the thickness of the seat cushion backrest, including the airbag. By inflating and deflating the airbag, the air pressure inside the airbag is adjusted to adjust the backrest thickness to reasonably support the human waist.

[0034] The massage module is used to massage the shoulders, spine or waist of the human body, and includes but is not limited to a plurality of vibration motors and vibration blocks, and a plurality of rolling motors and rollers, etc. The plurality of vibration motors drive the vibration blocks to vibrate regularly, thereby providing vibration and beating massage effects, and the plurality of rolling motors drive the rollers to rotate regularly, thereby providing pushing or rolling massage effects.

[0035] The heating module is used to realize the heating function of the seat cushion, including a nano material heating fabric, and the required heating temperature is achieved by providing heating power to the heating body in the nano material heating fabric. The nano material heating fabric includes a flexible heating body and one or more flexible protective layers, and the flexible protective layers are arranged on the upper and lower layers of the flexible heating body, so as to wrap the flexible heating body or wrap and seal it. Among them, the flexible protective layer can use fabric as a protective layer, and can also use other flexible materials as a protective layer. In one embodiment, the flexible heating body includes a carbon material layer based on carbon nanomaterials and an electrode layer arranged on the carbon material layer, and the electrode layer is led out of the protective layer through a wire.

[0036] The voice interaction module is used to realize voice prompts, alarms and human-computer interaction of the seat cushion, including a speaker for voice output, a microphone for voice input and a buzzer for prompts.

[0037] Furthermore, the seat cushion includes a seat cushion and a back cushion. The seat cushion is used to support the buttocks and thighs of the human body to provide support for the human body in a sitting posture; the back cushion is used to support the waist and shoulders of the human body to provide support for the human body in a leaning posture. Therefore, in one embodiment, the flexible pressure sensor array is regularly integrated on the seat cushion to collect the pressure values ​​of the human body's buttocks and thighs on the seat cushion, and then according to the recognition algorithm in the data algorithm processing module, the sitting posture of the human body is calculated and analyzed. The air pressure sensor is regularly integrated in the backrest adjustment module to detect the air pressure value of the airbag, thereby realizing the intelligent adjustment of the airbag and providing a reference for inflating or deflating the airbag according to the sitting posture of the human body. The temperature sensor is regularly set in the seat cushion and the back cushion to detect the temperature value on the seat cushion or the back cushion. The temperature sensor is set around the heating module to detect the temperature value around the heating module.

[0038] Furthermore, the airbag in the backrest adjustment module is regularly arranged at the middle and lower part of the cushion, so as to be close to the waist of the human body, so as to achieve the posture adjustment of the waist of the human body. The massage module is regularly arranged at the middle or upper part of the cushion, so as to be close to the waist, spine and shoulder of the human body, so as to achieve the massage of the waist, spine and shoulder of the human body.

[0039] Of course, in another embodiment, the seat cushion also includes a headrest. Therefore, in this embodiment, an airbag and an air pressure sensor can be regularly arranged in the headrest to achieve intelligent adjustment of the seat cushion headrest.

[0040] The above seat cushion includes an outer protective layer, an inner buffer layer and an inner support layer. The outer protective layer includes but is not limited to cortical material, fabric material, leather material or a composite of multiple materials. The inner support layer preferably uses a plastic material with elastic material. The inner buffer layer includes but is not limited to sponge, foam, latex and other materials with high resilience. The above data acquisition unit module, data algorithm processing module and intelligent adjustment unit module are regularly arranged inside the seat cushion.

[0041] The outer protective layer and the inner buffer layer are used to protect the data acquisition unit module, data algorithm processing module and intelligent adjustment unit module inside the seat cushion, as well as to provide protection and soft contact with the human body. The inner support layer is used for the plasticity of the seat cushion, thereby maintaining the shape of the seat cushion and avoiding deformation of the seat cushion and damage to the internal modules.

[0042] Of course, the seat cushions that achieve intelligent adjustment through posture recognition in the above embodiments can also be integrated into furniture products such as seats, sofas, back cushions, lumbar pads, beds, or automotive products, thereby forming intelligently adjustable seats, sofas, back cushions, lumbar pads, beds, car seats, wheelchairs, etc.

[0043] The seat cushion of the utility model can make the waist more comfortable and protect the waist by intelligently adjusting the vibration motor and the airbag according to the posture recognition, and can also prevent the changes of human bones caused by bad sitting posture and even induce a series of spinal diseases. The intelligent alarm has a better monitoring effect and has a sedentary reminder function to remind users to respond in time and adjust the correct sitting posture. The alarm will be triggered when the user sits for a long time or sits in a certain posture for a long time. It meets the needs of special groups, such as the elderly, patients with special body injuries, and the disabled. At the same time, the voice interaction module is integrated to facilitate the user's voice adjustment.

[0044] Embodiment 1: Intelligently adjustable seat cushion based on recognition of four flexible pressure sensors

[0045] like Figure 3 As shown, the flexible pressure sensor array in the data acquisition unit module uses four flexible sensor arrays, which are regularly arranged in the front, back, left, and right regions of the seat cushion, forming a left front sensor array, a right front sensor array, a left rear sensor array, and a right rear sensor array, respectively.

[0046] like Figure 4 As shown, the pressure data (pressure values) collected by the left front sensor array, the right front sensor array, the left rear sensor array, and the right rear sensor array through the ADC analog-to-digital converter are A1, A2, B1, and B2 respectively. Therefore, in this embodiment, the posture recognition algorithms in the data algorithm processing module are respectively:

[0047] Front seat recognition:

[0048] The first step, (A1+A2)≥((B1+B2)×K1);

[0049] Step 2: MAX(A1,A2)≥(MAX(B1,B2)×K1);

[0050] Among them, K1 is the fore-squat coefficient, which is the preset value of the control software module. The MAX(A1,A2) function means taking the maximum value of A1 and A2, and MAX(B1,B2) means taking the maximum value of B1 and B2.

[0051] Recoil Recognition:

[0052] The first step, ((A1+A2)×K2)≤(B1+B2);

[0053] Step 2, (MAX(A1,A2)×K2) <MAX(B1,B2);

[0054] Among them, K2 is the recoil coefficient, which is the preset value of the control software module.

[0055] Away Recognition:

[0056] (SUM = ∑(A1+A2+B1+B2)) <W;

[0057] Wherein, W is the stand-off pressure value, which is the preset value of the control software module.

[0058] Center recognition:

[0059] Step 1, (SUM = ∑ (A1 + A2 + B1 + B2)) > W;

[0060] Step 2:

[0061] Among them, M is the sensitivity coefficient, which is the preset value of the control software module. The larger the M value, the more sensitive it is, and the lower the gesture recognition degree; the smaller the M value, the less sensitive it is, and the more accurate the recognition is.

[0062] In one embodiment, the preset values ​​of the squat coefficient K1 and the squat coefficient K2 are adjustable in the range of 1.05-1.15, and the preset value of the sensitivity coefficient M is adjustable in the range of 0.05-0.1.

[0063] After calculation and processing by the posture recognition algorithm, the sitting posture of the human body is inferred. In this embodiment, the sitting posture includes the front sitting state, the back sitting state, the sitting state and the center state.

[0064] Progressive, such as Figure 5As shown in the figure, the communication mode between the temperature sensor and the pressure sensor and the main control MCU in this embodiment is shown. The temperature sensor uses an ADC analog-to-digital converter to communicate with the main control MCU, and the ADC analog-to-digital converter collects and converts the temperature analog signal, and transmits the converted temperature digital signal to the main control MCU using the SPI protocol. The pressure sensor uses the IIC protocol to communicate directly with the main control MCU, and the AD unit in the main control MCU directly collects and converts the pressure analog signal.

[0065] Example 2: Intelligently adjustable seat cushion based on recognition of nine flexible pressure sensors

[0066] like Figure 6 As shown, the flexible pressure sensor array in the data acquisition unit module uses nine flexible pressure sensor arrays. The rules are set in the front, middle, rear, left, middle, and right areas of the seat cushion to form a left front sensor array, a front middle sensor array, a right front sensor array, a left middle sensor array, a middle middle sensor array, a right middle sensor array, a left rear sensor array, a rear middle sensor array, and a right rear sensor array.

[0067] like Figure 7 As shown, the pressure data (pressure values) collected by the left front sensor array, the front middle sensor array, the right front sensor array, the left middle sensor array, the middle middle sensor array, the right middle sensor array, the left rear sensor array, the rear middle sensor array, and the right rear sensor array through the ADC analog-to-digital converter are A1, A2, A3, B1, B2, B3, C1, C2, and C3 respectively. Therefore, the posture recognition algorithms in the data algorithm processing module in this embodiment are respectively:

[0068] Front seat recognition:

[0069] The first step, (A1+A2+A3)≥((B1+B2+B3)×K1);

[0070] Step 2: MAX(A1,A2,A3)≥(MAX(B1,B2,B3)×K1);

[0071] Among them, K1 is the squat coefficient, which is the preset value of the control software module.

[0072] Recoil Recognition:

[0073] The first step, ((B1+B2+B3)×K2)≤(C1+C2+C3);

[0074] Step 2: (MAX(B1+B2+B3)×K2)≤MAX(C1+C2+C3);

[0075] Among them, K2 is the recoil coefficient, which is the preset value of the control software module.

[0076] Away Recognition:

[0077] (SUM=∑(A1+A2+A3+B1+B2+B3+C1+C2+C3)) <W;

[0078] Wherein, W is the stand-off pressure value, which is the preset value of the control software module.

[0079] Center recognition:

[0080] Step 1, (SUM = ∑ (A1 + A2 + A3 + B1 + B2 + B3 + C1 + C2 + C3)) > W;

[0081] Step 2:

[0082] Among them, M is the sensitivity coefficient, which is the preset value of the control software module. The larger the M value, the more sensitive it is, and the lower the gesture recognition degree; the smaller the M value, the less sensitive it is, and the more accurate the recognition is.

[0083] Left leg recognition:

[0084]

[0085] Among them, H1 is the left leg lift coefficient, which is the preset value of the control software module. It means finding the average value of A3+B2+B3+C1+C2+C3.

[0086] Right leg recognition:

[0087]

[0088] Among them, H2 is the right leg lift coefficient, which is also the preset value of the control software module.

[0089] In one embodiment, the preset values ​​of the front squat coefficient K1, the rear squat coefficient K2, the left leg-crossing coefficient H1 and the right leg-crossing coefficient H2 are adjustable in the range of 1.05-1.15, and the preset value of the sensitivity coefficient M is adjustable in the range of 0.05-0.1.

[0090] After the calculation and processing of the posture recognition algorithm in this embodiment, the sitting posture state of the human body in this embodiment is deduced. In this embodiment, the sitting posture states include front sitting state, back sitting state, sitting off state, centering state, left leg crossed state and right leg crossed state.

[0091] Further, such as Figure 8As shown in the figure, the communication mode between the temperature sensor and the air pressure sensor and the main control MCU in this embodiment. In this embodiment, the temperature sensor uses the IIC protocol to communicate directly with the main control MCU, and the AD unit in the main control MCU directly collects and converts the temperature analog signal. The air pressure sensor uses the ADC analog-to-digital converter to communicate with the main control MCU, and the ADC analog-to-digital converter collects and converts the air pressure analog signal, and transmits the converted air pressure digital signal to the main control MCU.

[0092] like Figure 2 As shown, in the above two embodiments, the user can interact with the intelligent adjustment unit module through voice interaction module to achieve voice control. At the same time, the corresponding prompts and warnings are broadcast through the speaker in the voice interaction module, as well as the output of voice. When the user sits in an incorrect posture or in other states, a language prompt or notification alarm can be given.

[0093] Furthermore, the intelligent adjustment unit module adjusts the air pressure of the airbag in the backrest adjustment module through the sitting posture of the human body obtained from the above posture recognition algorithm, thereby adjusting the waist posture. When the system detects the forward sitting posture, the airbag is inflated to increase the thickness of the airbag to reasonably support the waist of the human body; when the system detects the backward sitting posture, the airbag is deflated to reduce the thickness of the airbag to reasonably support the waist of the human body, thereby ensuring that the waist of the human body is in a comfortable support environment.

[0094] Furthermore, the intelligent adjustment unit module controls the heating module to provide the required working power for the heating body in the nanomaterial heating fabric to output the required heating temperature or heat. When the weather is cold, the seat cushion can be heated in advance to ensure the comfort of the human body when sitting on the seat cushion.

[0095] Furthermore, the seat cushion of the utility model that realizes intelligent adjustment through posture recognition also includes a data interface module, a wireless module and a control software module. The data interface module and the data cable communicate and interact with the external vehicle system or computer system, thereby facilitating the control of external devices. The wireless module communicates and interacts wirelessly with the external vehicle system or mobile device, and the control software module is installed on the vehicle system or mobile device, thereby facilitating the remote control of the vehicle system or mobile device.

[0096] The specific embodiments described above further illustrate the purpose, technical solutions and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An intelligently adjustable seat cushion, characterized in that: include: Data acquisition unit module, data algorithm processing module and intelligent control unit module; The data acquisition unit comprises a flexible pressure sensor array, which is regularly integrated and arranged inside the seat cushion of the seat cushion in an array, and is used to collect the pressure value on the seat cushion; The data algorithm processing module includes a main control MCU for calculation processing and core control, a memory unit SRAM for software system operation and temporary data storage, and a memory unit FLASH for data storage, wherein the memory unit stores control software and posture recognition algorithm; the data algorithm processing module collects data from all flexible pressure sensor arrays in the seat cushion through an ADC analog-to-digital converter, and calculates and recognizes the posture of a human body sitting on the seat cushion through the posture recognition algorithm; The intelligent control unit module includes a backrest adjustment module, a massage module, a heating module and a voice interaction module. The backrest adjustment module includes an airbag, the massage module includes a plurality of vibration motors and vibration blocks, the heating module includes a nanomaterial heating fabric based on carbon nanomaterials, and the voice interaction module includes a speaker for outputting voice and a microphone for inputting voice; the massage module is regularly integrated inside the back cushion to perform vibration and tapping massage on the waist, spine and shoulders of the human body, the nanomaterial heating fabric is regularly integrated inside the seat cushion or the seat cushion and the back cushion to heat the seat cushion, and the voice interaction module is used for human-computer interaction and reminders of bad postures of the human body.

2. The intelligently adjustable seat cushion according to claim 1, characterized in that: The data acquisition unit module also includes an air pressure sensor and a temperature sensor. The air pressure sensor is regularly integrated inside the seat cushion or at the air port of the airbag inside the headrest to collect the air pressure value of the airbag; the several temperature sensors are regularly integrated inside the seat cushion to collect the temperature value of the seat cushion.

3. The intelligently adjustable seat cushion according to claim 2, characterized in that: The seat cushion is provided with four flexible pressure sensor arrays in a regular manner, which are arranged in four regions, front, back, left and right, of the seat cushion, respectively forming a left front sensor array, a right front sensor array, a left rear sensor array and a right rear sensor array, and the seat cushion is divided into four equal parts in a 2×2 design to form an intelligently adjustable seat cushion based on recognition by four flexible pressure sensors; The left front sensor array, the right front sensor array, the left rear sensor array and the right rear sensor array collect respective pressure values ​​through an ADC analog-to-digital converter, and perform posture recognition through a posture algorithm to identify the front sitting posture, the back sitting posture, the sitting posture and the center posture.

4. The intelligently adjustable seat cushion according to claim 2, characterized in that: The seat cushion is regularly provided with nine flexible pressure sensor arrays, which are regularly arranged in the front, middle, rear, left, middle, and right areas of the seat cushion, forming a left front sensor array, a front middle sensor array, a right front sensor array, a left middle sensor array, a middle middle sensor array, a right middle sensor array, a left rear sensor array, a rear middle sensor array, and a right rear sensor array, and the seat cushion is divided into nine equal parts in a 3×3 design to form an intelligently adjustable seat cushion based on recognition by nine flexible pressure sensors; The left front sensor array, the front center sensor array, the right front sensor array, the left center sensor array, the center center sensor array, the right center sensor array, the left rear sensor array, the rear center sensor array and the right rear sensor array collect respective pressure values ​​through an ADC analog-to-digital converter, and perform posture recognition through a posture recognition algorithm to identify the forward sitting posture, the backward sitting posture, the sitting-out posture, the center posture, the left leg crossed posture and the right leg crossed posture.

5. An intelligently adjustable seat cushion according to any one of claims 1 to 4, characterized in that: The seat cushion also includes a data interface module, and the data interface module communicates and interacts with an external vehicle system or a computer system through a data cable.

6. The intelligently adjustable seat cushion according to claim 5, characterized in that: The seat cushion also includes a wireless module and a remote control software module. The wireless module communicates and interacts wirelessly with the vehicle system or the mobile device. The remote control software module is installed on the vehicle system or the mobile device to facilitate remote control of the vehicle system or the mobile device.

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