Ergonomic automobile seat cushion cover with pneumatic device

Abstract

The invention discloses an ergonomic automobile seat cushion cover with a pneumatic device, relates to the technical field of automobile seat cushion covers, and solves the problem that the comfort level of the automobile seat cushion cover is insufficient. The control parameter calculation module adopts a BP (Back Propagation) neural network to calculate the required inflation volume in an air bag according to feedback data, the massage mechanical model unit establishes a massage mechanical model through a mechanical analysis method and multi-body dynamics simulation, and the massage mechanical model adopts a particle swarm algorithm to determine massage contact pressure. The massage driving module achieves human body massage through an air pressure driving method, the intelligent adjusting module achieves massage time adjustment and massage area selection through programmable control, the wireless controller outputs temperature control signals through an integral control algorithm, and the comfort level of the automobile seat cushion cover is greatly improved.

Description

Technical Field

[0001] This invention relates to the field of automotive seat cover technology, and more specifically to an ergonomic automotive seat cover with a pneumatic device. Background Technology

[0002] Car seat covers with pneumatic systems provide comfort, shock absorption, lumbar support, and posture adjustment by adjusting the air pressure inside the airbags. This provides a better driving or riding experience and protects the health of passengers. The pneumatic system can adjust the firmness and softness of the seat cushion according to the passenger's weight and body shape, providing more comfortable seating support. By adjusting the air pressure inside the airbags, different areas of support can be adjusted, reducing fatigue during long drives or rides. Many car seat cushions are equipped with lumbar support, but car seat covers with pneumatic systems can further enhance this support. By controlling the support level in the lumbar region through the inflation and deflation of the airbags, the burden on the lumbar spine can be reduced, protecting lumbar health and reducing discomfort and back pain during long drives. Car seat covers with pneumatic systems play an important role in maintaining the health and comfort of passengers.

[0003] Existing car seat covers with pneumatic devices have many drawbacks. On the one hand, the airbags do not provide ergonomic support, which can easily cause user fatigue and physical injury. They also cannot accurately calculate the required inflation volume inside the airbags, resulting in an inability to precisely control the inflation volume. On the other hand, they lack airbag massage functions, which cannot provide a comfortable environment for users, and they lack temperature regulation pads, which affects the user experience. Therefore, this invention proposes an ergonomic car seat cover with a pneumatic device, aiming to improve the comfort of car seat covers. Summary of the Invention

[0004] To address the shortcomings of the aforementioned technologies, this invention discloses an ergonomic car seat cover with a pneumatic device. The airbag is designed with an ergonomic support unit, and the air pump uses an electromagnetic air compression method to inflate and deflate the airbag, solving the problem of the airbag not supporting the human body in an ergonomic way. The control parameter calculation module uses a BP neural network to calculate the required inflation volume of the airbag based on feedback data. The valve adjustment module uses a programmable controller to output a voltage signal to drive the air pump to inflate and deflate the airbag, solving the problem of inaccurate control of the inflation volume. The massage mechanics model unit establishes a massage mechanics model through mechanical analysis and multibody dynamics simulation. The massage mechanics model uses a particle swarm optimization algorithm to determine the massage contact pressure. The massage drive module uses a pneumatic drive method to achieve human body massage. The intelligent adjustment module uses programmable control to adjust the massage time and select the massage area, solving the problem of lacking airbag massage function. The temperature adjustment pad uses a graphene heater and an electronic cooler to achieve heating and cooling. The wireless controller uses an integral control algorithm to output a temperature control signal to adjust heating and cooling, solving the problem of insufficient user comfort.

[0005] The present invention adopts the following technical solution:

[0006] An ergonomic car seat cover with a pneumatic mechanism includes a sensor module, a seat cushion, and a power module.

[0007] The sensor module uses electromyography (EMG) sensors, temperature sensors, heart rate sensors, pressure sensors, and volume sensors to provide feedback data.

[0008] The seat cushion is made of fiber leather to simulate the texture of leather.

[0009] The power module uses a rechargeable lithium-ion battery to provide power to the car seat cushion cover;

[0010] It also includes a pneumatic device module, a pneumatic control module, and a temperature regulating pad;

[0011] The pneumatic device module includes an airbag, an air pump, and tubing. The airbag includes an airbag shell, an inflation / deflation port, and an ergonomic support unit. The air pump uses an electromagnetic air compression method to inflate and deflate the airbag. The tubing is made of polyurethane material.

[0012] The pneumatic control module uses a programmable controller to control the inflation and deflation of the airbag and the massage intensity. The programmable controller includes an inflation and deflation control unit, a massage mechanics model unit, and a massage control unit. The output of the massage mechanics model unit is connected to the input of the massage control unit.

[0013] The temperature regulating pad includes a heating unit, a cooling unit, and a temperature control unit. The heating unit uses a graphene heater to heat the car seat cover, the cooling unit uses an electronic cooler to achieve the cooling effect, and the temperature control unit uses a wireless controller to control the heating and cooling. The wireless controller uses an integral control algorithm to output a temperature control signal to regulate the heating and cooling. The output terminal of the temperature control unit is connected to the input terminal of the heating unit and the input terminal of the cooling unit, respectively.

[0014] The output terminal of the power module is connected to the input terminal of the sensor module, the input terminal of the pneumatic device module, the input terminal of the pneumatic control module, and the input terminal of the temperature regulating seat. The output terminal of the sensor module is connected to the input terminal of the pneumatic control module and the input terminal of the temperature regulating seat. The output terminal of the pneumatic control module is connected to the input terminal of the pneumatic device module.

[0015] As a further technical solution of the present invention, the ergonomic support unit converts digital scanning data into a digital human body model through three-dimensional digital modeling to simulate the human body structure. The ergonomic support unit then designs thigh side support airbags, seat cushion airbags, waist airbags, headrest airbags and backrest airbags through the digital human body model.

[0016] As a further technical solution of the present invention, the inflation / deflation port includes an inlet valve and an exhaust valve. The electromagnetic air compression method generates a magnetic field by applying current to an electromagnetic coil. The magnetic field drives a piston to reciprocate linearly within the air pump. The piston moves downward to introduce outside air into the airbag through the inlet valve, and the piston moves upward to discharge the air in the airbag through the exhaust valve.

[0017] As a further embodiment of the present invention, the inflation / deflation control unit includes a control parameter calculation module and a valve adjustment module. The output terminal of the control parameter calculation module is connected to the input terminal of the valve adjustment module. The valve adjustment module drives the air pump to perform inflation / deflation operations on the airbag through a voltage signal output by a programmable controller. The programmable controller adjusts the voltage signal according to the control parameters using pulse width modulation. The control parameter calculation module uses a BP neural network to calculate the required inflation volume inside the airbag based on feedback data. The BP neural network receives feedback data through an input layer and then preprocesses the feedback data through a data processing layer. The data processing layer uses data scaling and normalization processing to standardize the feedback data. Finally, the BP neural network determines the required inflation volume inside the airbag through a neural network algorithm. The formula for calculating the required inflation volume inside the airbag is:

[0018]

[0019] In formula (1), Q is the required inflation volume inside the airbag, z is the airbag volume, n is the mass of air, R is the air constant, T is the air temperature, V is the air volume, and g is the elasticity of the airbag shell.

[0020] As a further embodiment of the present invention, the working method of the massage mechanics model unit is as follows:

[0021] Step 1: Analyze the mechanical characteristics of human muscle soft tissue using mechanical analysis methods. The mechanical characteristics of human muscle soft tissue include yield stress, elastic modulus, shear modulus and apparent viscoelastic modulus. The mechanical analysis method uses rod elements to simulate the morphology and stress state of human muscle.

[0022] Step 2: Then, a massage mechanics model is established using multibody dynamics simulation. The multibody dynamics simulation constructs a rigid model of the morphology and stress state of human muscles through stress analysis. The multibody dynamics simulation uses the finite difference algorithm to discretize the rigid model into discrete points on the coordinate axes. The finite difference algorithm uses the discrete points and the human body mechanics model to establish the massage mechanics model.

[0023] Step 3: Finally, the massage mechanics model uses a particle swarm optimization (PSO) algorithm to determine the massage contact pressure. The PSO algorithm combines muscle tension and heart rate to determine the optimal massage contact pressure. The formula for calculating the optimal massage contact pressure is as follows:

[0024]

[0025] In formula (2), P is the optimal solution of massage contact pressure, C is the massage contact area, E is the voltage of the electrical signal on the muscle surface, and m is the user's heart rate.

[0026] As a further embodiment of the present invention, the massage control unit includes a massage drive module and an intelligent adjustment module. The massage drive module realizes human body massage through a pneumatic drive method. The pneumatic drive method uses a pneumatic adjustment control algorithm to output a massage drive signal. The pneumatic adjustment control algorithm determines the control strategy of the massage drive signal according to the optimal solution of the massage contact pressure. The pneumatic drive method uses a control strategy of a drive actuator to execute the massage drive signal. The drive actuator realizes massage drive by periodically inflating and deflating an air pump.

[0027] As a further embodiment of the present invention, the intelligent adjustment module realizes massage time adjustment and massage area selection through programmable control. The programmable controller obtains the user's settings for massage time and area through the user interface, and then processes the information through a genetic algorithm. The genetic algorithm generates massage control commands based on the massage time and massage area set by the user. The programmable controller outputs the massage control commands to the airbag and air pump to realize the functions of massage time adjustment and massage area selection.

[0028] As a further embodiment of the present invention, the integral control algorithm uses a temperature error integrator to integrate and accumulate the temperature error value to obtain the target value of integral control. The formula for calculating the target value of integral control is as follows:

[0029]

[0030] In formula (3), N is the target value of integral control, q is the temperature error value, S is the integral time constant, and x is the integral gain;

[0031] The integral control algorithm then uses a proportional signal function to calculate the target value of integral control and the integral time constant. The calculation result is output as a temperature control signal, and the formula for the temperature control signal output is as follows:

[0032]

[0033] In formula (4), K represents the temperature control signal, and D i Let i be the temperature value measured by the temperature sensor, i be the index of the temperature value measured by the temperature sensor, n be the number of measurements taken by the temperature sensor, and y be the control gain of the temperature control signal.

[0034] The positive and beneficial effects of this invention compared to existing technologies are as follows:

[0035] This invention discloses an ergonomic car seat cover with a pneumatic device. The airbag is designed to conform to ergonomic principles through an ergonomic support unit. The air pump uses an electromagnetic air compression method to inflate and deflate the airbag, achieving an ergonomic support airbag design. The control parameter calculation module uses a BP neural network to calculate the required inflation volume of the airbag based on feedback data. The valve adjustment module drives the air pump to inflate and deflate the airbag through a programmable controller outputting a voltage signal, precisely controlling the inflation volume of the airbag. The massage mechanics model unit establishes a massage mechanics model through mechanical analysis methods and multibody dynamics simulation. The massage mechanics model uses a particle swarm optimization algorithm to determine the massage contact pressure. The massage drive module achieves human body massage through a pneumatic drive method. The intelligent adjustment module realizes massage time adjustment and massage area selection through programmable control, realizing the airbag massage function. The temperature adjustment pad achieves heating and cooling through a graphene heater and an electronic cooler. The wireless controller uses an integral control algorithm to output a temperature control signal to adjust heating and cooling. Attached Figure Description

[0036] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort, wherein:

[0037] Figure 1 This is a schematic diagram of the overall structure of an ergonomic car seat cover with a pneumatic device according to the present invention.

[0038] Figure 2 This is a flowchart illustrating the working method of the massage mechanics model unit used in this invention.

[0039] Figure 3 This is a schematic diagram of the pneumatic device module used in this invention.

[0040] Figure 4 This is a schematic diagram of the pneumatic control module used in this invention. Detailed Implementation

[0042] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0043] like Figures 1-4 As shown, an ergonomic car seat cover with a pneumatic mechanism includes a sensor module, a seat cushion, and a power module.

[0044] The sensor module uses electromyography (EMG) sensors, temperature sensors, heart rate sensors, pressure sensors, and volume sensors to provide feedback data.

[0045] The seat cushion is made of fiber leather to simulate the texture of leather.

[0046] The power module uses a rechargeable lithium-ion battery to provide power to the car seat cushion cover;

[0047] It also includes a pneumatic device module, a pneumatic control module, and a temperature regulating pad;

[0048] The pneumatic device module includes an airbag, an air pump, and tubing. The airbag includes an airbag shell, an inflation / deflation port, and an ergonomic support unit. The air pump uses an electromagnetic air compression method to inflate and deflate the airbag. The tubing is made of polyurethane material.

[0049] The pneumatic control module uses a programmable controller to control the inflation and deflation of the airbag and the massage intensity. The programmable controller includes an inflation and deflation control unit, a massage mechanics model unit, and a massage control unit. The output of the massage mechanics model unit is connected to the input of the massage control unit.

[0050] The temperature regulating pad includes a heating unit, a cooling unit, and a temperature control unit. The heating unit uses a graphene heater to heat the car seat cover, the cooling unit uses an electronic cooler to achieve the cooling effect, and the temperature control unit uses a wireless controller to control the heating and cooling. The wireless controller uses an integral control algorithm to output a temperature control signal to regulate the heating and cooling. The output terminal of the temperature control unit is connected to the input terminal of the heating unit and the input terminal of the cooling unit, respectively.

[0051] The output terminal of the power module is connected to the input terminal of the sensor module, the input terminal of the pneumatic device module, the input terminal of the pneumatic control module, and the input terminal of the temperature regulating seat. The output terminal of the sensor module is connected to the input terminal of the pneumatic control module and the input terminal of the temperature regulating seat. The output terminal of the pneumatic control module is connected to the input terminal of the pneumatic device module.

[0052] In specific embodiments, fiber leather, by mimicking the texture and color of genuine leather, can present an appearance similar to genuine leather. It can possess characteristics such as luster, softness, and delicacy, making it visually difficult to distinguish from genuine leather. Through special treatment, fiber leather can be made soft and smooth to the touch, providing a similar tactile feel to genuine leather, giving people a comfortable and warm sensation upon contact. Fiber leather is typically made from high-strength fiber materials, possessing good abrasion resistance. Compared to genuine leather, it is more durable in daily use and less prone to scratches or wear. The manufacturing process of fiber leather does not require the use of genuine leather, reducing harm to animals. Furthermore, fiber leather can be produced through recycling, exhibiting good environmental performance. Polyurethane material has excellent elasticity, returning to its original shape under pressure or bending, and is not easily deformed or broken. This makes polyurethane piping suitable for applications requiring frequent bending or flexing. Polyurethane material has high tensile strength, capable of withstanding significant pressure. Polyurethane piping is typically lightweight and flexible, facilitating installation and maintenance, reducing installation costs and improving construction efficiency.

[0053] Programmable logic controllers (PLCs) can be programmed, modified, and executed using programming languages ​​to achieve specific functions or tasks. PLCs typically have the following characteristics: 1. They are primarily used to control and manage pneumatic device modules. They can receive input signals, process data, and determine output results based on predefined logic and algorithms. Through PLCs, we can achieve various functions such as automation and intelligence; 2. Because PLCs are programmable, they have high flexibility. Developers can modify and upgrade programs as needed to adapt to different application scenarios and changing requirements; 3. PLCs typically support multiple interfaces and protocols, such as serial ports and Ethernet, enabling them to communicate and interact with other devices or systems, which facilitates system integration and expansion.

[0054] In a further embodiment, the ergonomic support unit converts digital scan data into a digital human body model through three-dimensional digital modeling to simulate the human body structure. The ergonomic support unit then designs thigh side support airbags, seat cushion airbags, lumbar airbags, headrest airbags, and backrest airbags based on the digital human body model.

[0055] In a further embodiment, the inflation / deflation port includes an inlet valve and an exhaust valve. The electromagnetic air compression method generates a magnetic field by applying current to an electromagnetic coil. The magnetic field drives a piston to reciprocate linearly within the air pump. The piston moves downward to introduce outside air into the airbag through the inlet valve, and moves upward to discharge the air from the airbag through the exhaust valve.

[0056] In a specific embodiment, 3D digital modeling is the process of acquiring information such as the shape, structure, and appearance of a physical object through a digital scanning device and converting it into a digital 3D model. In the field of human body modeling, 3D digital modeling can be used to create digital human body models for the simulation and analysis of human body structure. The general steps for achieving 3D digital modeling and simulating human body structure are as follows: 1. Digital scanning: Using a 3D scanner or other related equipment to scan the human body and acquire point cloud data or mesh data of the human body surface. This data contains information such as the coordinates and colors of various points on the human body surface; 2. Data processing: Preprocessing the scanned point cloud data or mesh data, including noise reduction. 1. Filtering, alignment, and other operations are performed to improve data quality and accuracy; 2. Surface reconstruction: Based on the preprocessed data, computer algorithms are used to perform 3D reconstruction. Common methods include point cloud reconstruction and surface reconstruction. These methods can convert discrete point cloud data into continuous surface meshes, thereby forming a complete 3D model; 3. Texture mapping: The texture information obtained in the original scan is mapped onto the 3D model, giving the model a realistic appearance; 4. Optimization and repair: The generated digital human body model is further optimized and repaired to improve its geometric smoothness, integrity, and usability. This may include operations such as filling holes and removing unnecessary details.

[0057] In a further embodiment, the inflation / deflation control unit includes a control parameter calculation module and a valve adjustment module. The output of the control parameter calculation module is connected to the input of the valve adjustment module. The valve adjustment module drives the air pump to inflate / deflate the airbag via a voltage signal output from a programmable controller. The programmable controller uses pulse width modulation to adjust the voltage signal according to the control parameters. The control parameter calculation module uses a backpropagation (BP) neural network to calculate the required inflation volume of the airbag based on feedback data. The BP neural network receives feedback data through an input layer and then preprocesses the feedback data through a data processing layer. The data processing layer uses data scaling and normalization to standardize the feedback data. Finally, the BP neural network determines the required inflation volume of the airbag using a neural network algorithm. The formula for calculating the required inflation volume of the airbag is:

[0058]

[0059] In formula (1), Q is the required inflation volume inside the airbag, z is the airbag volume, n is the mass of air, R is the air constant, T is the air temperature, V is the air volume, and g is the elasticity of the airbag shell.

[0060] In a specific embodiment, data scaling and normalization is a commonly used data preprocessing method. It aims to transform data of different scales and ranges into a unified standard unit for comparison and analysis. This helps to standardize feedback data, making it comparable and interpretable. For each feature, the feedback data is standardized by converting the original value to its deviation from the mean and then scaling it by dividing by the standard deviation. The required inflation volume inside the airbag is shown in Table 1.

[0061]

[0062] As shown in Table 1, four test groups were set up, and two methods were used to calculate the required inflation volume inside the airbag. Method 1 calculates the required inflation volume inside the airbag based on the required pressure and volume, while Method 2 uses a BP neural network to determine the required inflation volume inside the airbag through a neural network algorithm. The error of Method 1 is greater than that of Method 2. It can be seen that the BP neural network of the present invention has outstanding technical effect in determining the required inflation volume inside the airbag through a neural network algorithm.

[0063] In a further embodiment, the massage mechanics model unit operates as follows:

[0064] Step 1: Analyze the mechanical characteristics of human muscle soft tissue using mechanical analysis methods. The mechanical characteristics of human muscle soft tissue include yield stress, elastic modulus, shear modulus and apparent viscoelastic modulus. The mechanical analysis method uses rod elements to simulate the morphology and stress state of human muscle.

[0065] Step 2: Then, a massage mechanics model is established using multibody dynamics simulation. The multibody dynamics simulation constructs a rigid model of the morphology and stress state of human muscles through stress analysis. The multibody dynamics simulation uses the finite difference algorithm to discretize the rigid model into discrete points on the coordinate axes. The finite difference algorithm uses the discrete points and the human body mechanics model to establish the massage mechanics model.

[0066] Step 3: Finally, the massage mechanics model uses a particle swarm optimization (PSO) algorithm to determine the massage contact pressure. The PSO algorithm combines muscle tension and heart rate to determine the optimal massage contact pressure. The formula for calculating the optimal massage contact pressure is as follows:

[0067]

[0068] In formula (2), P is the optimal solution of massage contact pressure, C is the massage contact area, E is the voltage of the electrical signal on the muscle surface, and m is the user's heart rate.

[0069] In a specific embodiment, the method for simulating human muscles using rod elements is as follows: 1. Mesh generation: The human geometric model is meshed and discretized into multiple small elements. For muscle tissue, rod elements are typically used for modeling. 2. Rod element definition: Each rod element represents a muscle tissue part, possessing certain characteristics such as length, elasticity, and stiffness within that region. Appropriate material parameters can be selected to describe the mechanical behavior of the rod element based on the actual situation. 3. Boundary conditions: Appropriate boundary conditions are determined, including fixed points and constraint conditions. These boundary conditions will affect the simulation results. 4. Force application: Based on actual needs, corresponding external loads or constraint conditions are given to simulate the forces acting on the human body under different motion states. 5. Analysis: Based on the established rod element model and force conditions, the morphological structure and stress state of the muscle tissue are analyzed using mechanical equations.

[0070] The Particle Swarm Optimization (PSO) algorithm can determine the optimal massage contact pressure by combining muscle tension and heart rate. The specific steps are as follows: 1. Define a fitness function: First, a fitness function needs to be defined to evaluate the quality of the massage contact pressure. The fitness function can consider two factors: the voltage of the muscle surface electrical signal and heart rate; 2. Particle encoding: Represent each particle as a vector containing parameters of the massage contact pressure. Appropriate parameter ranges and precision can be selected according to actual needs; 3. Initialize the particle swarm: Randomly generate an initial particle swarm and assign random velocity and position to each particle; 4. Update velocity and position: According to the PSO algorithm principle, the optimal solution is searched by updating velocity and position. During the update process, factors such as the current optimal solution, the global optimal solution, and individual experience need to be considered; 5. Calculate the fitness value: For each particle, calculate the corresponding fitness value based on its current position, and set termination conditions, such as reaching the maximum number of iterations or reaching a satisfactory fitness value. Based on the optimal solutions recorded during the iteration process, the optimal massage contact pressure is determined. The statistical table of optimal massage contact pressure solutions is shown in Table 2.

[0071]

[0072] As shown in Table 2, four test groups were set up, and two methods were used to determine the massage contact pressure. Method 3 simulated the stress distribution on the surface of the massage area by computer and calculated the massage contact pressure based on the distribution. Method 4 used a particle swarm optimization algorithm to determine the optimal solution for massage contact pressure by combining muscle tension and heart rate. The error of method 3 was greater than that of method 4. It can be seen that the particle swarm optimization algorithm of the present invention, which combines muscle tension and heart rate to determine the optimal solution for massage contact pressure, has outstanding technical effect.

[0073] In a further embodiment, the massage control unit includes a massage drive module and an intelligent adjustment module. The massage drive module realizes human body massage through a pneumatic drive method. The pneumatic drive method uses a pneumatic adjustment control algorithm to output a massage drive signal. The pneumatic adjustment control algorithm determines the control strategy of the massage drive signal according to the optimal solution of the massage contact pressure. The pneumatic drive method uses a control strategy of a drive actuator to execute the massage drive signal. The drive actuator realizes massage drive by periodically inflating and deflating an air pump.

[0074] In a further embodiment, the intelligent adjustment module realizes massage time adjustment and massage area selection through programmable control. The programmable control obtains the user's settings for massage time and area through the user interface, and then processes the information through a genetic algorithm. The genetic algorithm generates massage control commands based on the massage time and massage area set by the user. The programmable controller outputs the massage control commands to the airbag and air pump to realize the functions of massage time adjustment and massage area selection.

[0075] In a specific embodiment, obtaining the user's settings for massage time and area can be achieved through a user interface. The following is a user interface design scheme: 1. Display massage time options: Display massage time options on the interface. This can be a preset time period (e.g., 10 minutes, 20 minutes, etc.) or a custom input box for the user to enter the specific massage time; 2. Provide massage area selection: Provide massage area selection options on the interface. Different methods can be designed according to specific situations. For example, a body image can be used, allowing the user to click or check the area they wish to massage; or a drop-down menu or checkbox can be used to list common massage areas for the user to choose from; 3. Confirmation button: To allow users to confirm their settings, a confirmation button is added to the interface. After the user completes the massage time and area settings, clicking this button submits their selection; 4. Optional functions: In addition to basic settings, some extra functions can be added to enhance the user experience. For example, functions such as saving settings, setting default values, and history can be provided.

[0076] In a further embodiment, the integral control algorithm uses a temperature error integrator to integrate and accumulate the temperature error value to obtain the target value for integral control. The formula for calculating the target value for integral control is as follows:

[0077]

[0078] In formula (3), N is the target value of integral control, q is the temperature error value, S is the integral time constant, and x is the integral gain;

[0079] The integral control algorithm then uses a proportional signal function to calculate the target value of integral control and the integral time constant. The calculation result is output as a temperature control signal, and the formula for the temperature control signal output is as follows:

[0080]

[0081] In formula (4), K represents the temperature control signal, and D i Let i be the temperature value measured by the temperature sensor, i be the index of the temperature value measured by the temperature sensor, n be the number of measurements taken by the temperature sensor, and y be the control gain of the temperature control signal.

[0082] In a specific embodiment, the temperature error integrator functions by integrating and accumulating the temperature error values ​​to obtain a target value for integral control. This target value is used to adjust the output of the control system, compensating for static errors and improving the stability and accuracy of the control system. Specifically, the temperature error integrator multiplies the temperature error value at each sampling moment by the sampling period and accumulates it in the integrator. By continuously accumulating these error values, the integrator generates an integral term that varies over time, representing the sum of all historical temperature errors. The proportional signal function calculates the target value for integral control and the integral time constant, and outputs the result as a temperature control signal. Specifically, the proportional signal function is a part of the PID (Proportional-Integral-Derivative) controller, used to generate a temperature control signal based on the accumulation of current and past errors. The temperature signal generation statistics are shown in Table 3.

[0083]

[0084] As shown in Table 3, four test groups were set up, and two methods were used to output temperature control signals respectively. Method 5 is to output temperature control signals by pulse width modulation control, and method 6 is to output temperature control signals by integral operation through integral control algorithm. The error of method 5 is greater than that of method 6. It can be seen that the integral control algorithm of the present invention outputs temperature control signals by integral operation with outstanding technical effect.

[0085] While specific embodiments of the present invention have been described above, those skilled in the art should understand that these specific embodiments are merely illustrative. Various omissions, substitutions, and changes can be made to the details of the methods and systems described above without departing from the principles and essence of the present invention. For example, combining the above method steps to perform substantially the same function and achieve substantially the same result using substantially the same method falls within the scope of the present invention. Therefore, the scope of the present invention is defined only by the appended claims.

Claims

1. An ergonomic car seat cover with a pneumatic device, characterized in that: Includes sensor module, seat cushion and power module: The sensor module uses electromyography (EMG) sensors, temperature sensors, heart rate sensors, pressure sensors, and volume sensors to provide feedback data. The seat cushion is made of fiber leather to simulate the texture of leather. The power module uses a rechargeable lithium-ion battery to provide power to the car seat cushion cover; Its features include a pneumatic device module, a pneumatic control module, and a temperature regulating pad; The pneumatic device module includes an airbag, an air pump, and tubing. The airbag includes an airbag shell, an inflation / deflation port, and an ergonomic support unit. The air pump uses an electromagnetic air compression method to inflate and deflate the airbag. The tubing is made of polyurethane material. The pneumatic control module uses a programmable controller to control the inflation and deflation of the airbag and the massage intensity. The programmable controller includes an inflation and deflation control unit, a massage mechanics model unit, and a massage control unit. The output of the massage mechanics model unit is connected to the input of the massage control unit. The temperature regulating pad includes a heating unit, a cooling unit, and a temperature control unit. The heating unit uses a graphene heater to heat the car seat cover, the cooling unit uses an electronic cooler to achieve the cooling effect, and the temperature control unit uses a wireless controller to control the heating and cooling. The wireless controller uses an integral control algorithm to output a temperature control signal to regulate the heating and cooling. The output terminal of the temperature control unit is connected to the input terminal of the heating unit and the input terminal of the cooling unit, respectively. The output terminal of the power module is connected to the input terminal of the sensor module, the input terminal of the pneumatic device module, the input terminal of the pneumatic control module, and the input terminal of the temperature regulating seat. The output terminal of the sensor module is connected to the input terminal of the pneumatic control module and the input terminal of the temperature regulating seat. The output terminal of the pneumatic control module is connected to the input terminal of the pneumatic device module.

2. The ergonomic car seat cover with a pneumatic device according to claim 1, characterized in that: The ergonomic support unit transforms digital scan data into a digital human body model through three-dimensional digital modeling to simulate the human body structure. The ergonomic support unit then designs thigh side support airbags, seat cushion airbags, lumbar airbags, headrest airbags, and backrest airbags based on the digital human body model.

3. The ergonomic car seat cover with a pneumatic device according to claim 1, characterized in that: The inflation / deflation port includes an inlet valve and an exhaust valve. The electromagnetic air compression method generates a magnetic field by applying current to an electromagnetic coil. The magnetic field drives a piston to reciprocate linearly within the air pump. When the piston moves downward, it introduces outside air into the airbag through the inlet valve. When the piston moves upward, it discharges the air from the airbag through the exhaust valve.

4. The ergonomic car seat cover with a pneumatic device according to claim 1, characterized in that: The inflation / deflation control unit includes a control parameter calculation module and a valve adjustment module. The output of the control parameter calculation module is connected to the input of the valve adjustment module. The valve adjustment module drives the air pump to inflate / deflate the airbag via a voltage signal output from a programmable controller. The programmable controller uses pulse width modulation to adjust the voltage signal according to the control parameters. The control parameter calculation module uses a backpropagation (BP) neural network to calculate the required inflation volume of the airbag based on feedback data. The BP neural network receives feedback data through an input layer and then preprocesses the feedback data through a data processing layer. The data processing layer uses data scaling and normalization to standardize the feedback data. Finally, the BP neural network determines the required inflation volume of the airbag using a neural network algorithm. The formula for calculating the required inflation volume of the airbag is: In formula (1), Q is the required inflation volume inside the airbag, z is the airbag volume, n is the mass of air, R is the air constant, T is the air temperature, V is the air volume, and g is the elasticity of the airbag shell.

5. The ergonomic car seat cover with a pneumatic device according to claim 1, characterized in that: The working method of the massage mechanical model unit is as follows: Step 1: Analyze the mechanical characteristics of human muscle soft tissue using mechanical analysis methods. The mechanical characteristics of human muscle soft tissue include yield stress, elastic modulus, shear modulus and apparent viscoelastic modulus. The mechanical analysis method uses rod elements to simulate the morphology and stress state of human muscle. Step 2: Then, a massage mechanics model is established using multibody dynamics simulation. The multibody dynamics simulation constructs a rigid model of the morphology and stress state of human muscles through stress analysis. The multibody dynamics simulation uses the finite difference algorithm to discretize the rigid model into discrete points on the coordinate axes. The finite difference algorithm uses the discrete points and the human body mechanics model to establish the massage mechanics model. Step 3: Finally, the massage mechanics model uses a particle swarm optimization (PSO) algorithm to determine the massage contact pressure. The PSO algorithm combines muscle tension and heart rate to determine the optimal massage contact pressure. The formula for calculating the optimal massage contact pressure is as follows: In formula (2), P is the optimal solution of massage contact pressure, C is the massage contact area, E is the voltage of the electrical signal on the muscle surface, and m is the user's heart rate.

6. The ergonomic car seat cover with a pneumatic device according to claim 1, characterized in that: The massage control unit includes a massage drive module and an intelligent adjustment module. The massage drive module realizes human body massage through a pneumatic drive method. The pneumatic drive method uses a pneumatic adjustment control algorithm to output a massage drive signal. The pneumatic adjustment control algorithm determines the control strategy of the massage drive signal according to the optimal solution of the massage contact pressure. The pneumatic drive method uses a drive actuator to execute the massage drive signal control strategy. The drive actuator realizes massage drive by periodically inflating and deflating an air pump.

7. The ergonomic car seat cover with a pneumatic device according to claim 6, characterized in that: The intelligent adjustment module realizes massage time adjustment and massage area selection through programmable control. The programmable controller obtains the user's settings for massage time and area through the user interface, and then processes the information through a genetic algorithm. The genetic algorithm generates massage control commands based on the massage time and massage area set by the user. The programmable controller outputs the massage control commands to the airbag and air pump to realize the functions of massage time adjustment and massage area selection.

8. The ergonomic car seat cover with a pneumatic device according to claim 1, characterized in that: The integral control algorithm uses a temperature error integrator to integrate and accumulate the temperature error value to obtain the target value for integral control. The formula for calculating the target value for integral control is as follows: In formula (3), N is the target value of integral control, q is the temperature error value, S is the integral time constant, and x is the integral gain; The integral control algorithm then uses a proportional signal function to calculate the target value of integral control and the integral time constant. The calculation result is output as a temperature control signal, and the formula for the temperature control signal output is as follows: In formula (4), K represents the temperature control signal, and D i Let i be the temperature value measured by the temperature sensor, i be the index of the temperature value measured by the temperature sensor, n be the number of measurements taken by the temperature sensor, and y be the control gain of the temperature control signal.

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