Seat pressure distribution detection method and system, seat and equipment

Abstract

The invention discloses a seat pressure distribution detection method and system, a seat and equipment, and the method comprises the steps: obtaining a pressure characteristic parameter of the contact between a user and the seat and a contact hot area characteristic parameter; obtaining an initial pressure distribution result of the user on the seat according to the pressure characteristic parameters of the contact between the user and the seat; according to the incidence relation between the pre-stored pressure characteristic parameters and the contact hot area characteristic parameters, the initial pressure distribution result is corrected through the contact hot area characteristic parameters, a final pressure distribution result is obtained, and the final pressure distribution result comprises the human tissue type and the pressure of the contact part of the user and the seat. With the adoption of the method and the device, the supporting condition of the seat on each part of the body of the user can be accurately known, so that reliable guidance can be brought to the supporting adjustment of the seat.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of seats, in particular to a seat pressure distribution detection method and system, a seat and equipment. BACKGROUND

[0002] With the increase of the sitting office population in modern society, health problems such as lumbar muscle strain and spinal deformation caused by poor sitting posture. Especially for teenagers, poor sitting posture is easy to cause humpback. Therefore, the related art appears the means for detecting the sitting posture. Then, the related art seat posture detection means usually relies on a single pressure sensor for pressure detection, and the pressure sensor can only monitor the contact pressure distribution of the body and the seat, but cannot determine the physiological causes of posture abnormalities, such as whether it is caused by muscle fatigue, etc. Finally, it leads to a lag or inaccurate intervention opportunity. SUMMARY

[0003] Therefore, it is necessary to provide a seat pressure distribution detection method, system, seat and equipment to accurately understand the support of the seat to each part of the user's body, so as to provide reliable guidance for seat support adjustment.

[0004] In a first aspect, a seat pressure distribution detection method is provided, comprising: obtaining pressure feature parameters and contact hot zone feature parameters of a user contacting a seat; obtaining an initial pressure distribution result of the user on the seat according to the pressure feature parameters of the user contacting the seat; correcting the initial pressure distribution result through the contact hot zone feature parameters according to the association between the pre-stored pressure feature parameters and the contact hot zone feature parameters, to obtain a final pressure distribution result, wherein the final pressure distribution result includes the human tissue type and pressure of the user contacting the seat.

[0005] In some examples, the obtaining of the pressure feature parameters and the contact hot zone feature parameters of the user contacting the seat comprises: obtaining pressure distribution data of the user contacting the seat detected by a pressure sensor array; obtaining a hot zone image of the user contacting the seat detected by an infrared thermal imager; extracting the pressure feature parameters of the user contacting the seat from the pressure distribution data, and extracting the contact hot zone feature parameters of the user contacting the seat from the hot zone image, wherein the pressure sensor array and the infrared thermal imager are arranged in the seat surface area and the seat back area.

[0006] In some examples, before extracting the pressure feature parameter of the user contacting the seat from the pressure distribution data and extracting the contact heat zone feature parameter of the user contacting the seat from the heat zone image, the method further comprises: filtering and normalizing the pressure distribution data in sequence; filtering and converting the heat zone image into a gray scale image in sequence, wherein the gray scale values of different regions in the gray scale image represent actual temperatures.

[0007] In some examples, the obtaining the initial pressure distribution result of the user on the seat according to the pressure feature parameter of the user contacting the seat comprises: constructing an initial seat pressure distribution model according to the pressure feature parameter of the user contacting the seat, wherein the initial seat pressure distribution model comprises the initial pressure distribution result of the user on the seat, and the initial pressure distribution result is determined based on interpolation of the pressure feature parameter.

[0008] In some examples, the correcting the initial pressure distribution result according to the association between the pre-stored pressure feature parameter and the contact heat zone feature parameter by the contact heat zone feature parameter to obtain a final pressure distribution result comprises: obtaining a correction factor corresponding to the contact heat zone feature parameter according to the association between the pressure feature parameter and the contact heat zone feature parameter; correcting the initial pressure distribution result according to the correction factor.

[0009] In some examples, before correcting the initial pressure distribution result according to the association between the pre-stored pressure feature parameter and the contact heat zone feature parameter by the contact heat zone feature parameter to obtain a final pressure distribution result, the method further comprises: calculating the correlation between the contact heat zone feature parameter and the pressure feature parameter by a Pearson correlation coefficient; obtaining the association between the pressure feature parameter and the contact heat zone feature parameter according to the correlation.

[0010] In some examples, the method further comprises: generating pressure adjustment instructions for different regions according to the final pressure distribution result; adjusting the support of the user by different regions on the seat according to the pressure adjustment instructions.

[0011] In a second aspect, a pressure distribution detection system of a seat is provided, comprising: an acquisition module configured to obtain a pressure feature parameter of a user contacting a seat and a contact heat zone feature parameter; an initial pressure determination module configured to obtain an initial pressure distribution result of the user on the seat according to the pressure feature parameter of the user contacting the seat; a pressure distribution detection module configured to correct the initial pressure distribution result by the contact hot zone feature parameter according to a pre-stored correlation between the pressure feature parameter and the contact hot zone feature parameter, to obtain a final pressure distribution result, wherein the final pressure distribution result comprises a human tissue type and pressure of a part of the user contacting the seat.

[0012] The third aspect provides a seat, comprising the seat pressure distribution detection system according to the second aspect.

[0013] The fourth aspect provides a computer device, comprising a memory and a processor, the memory stores a computer program, and the processor executes the computer program to realize the seat pressure distribution detection method according to the first aspect.

[0014] According to the embodiments of the present application, the initial pressure distribution result of the user on the seat can be obtained according to the obtained pressure feature parameter of the user contacting the seat, then the initial pressure distribution result can be accurately corrected according to the obtained contact hot zone feature parameter of the user contacting the seat, to obtain an accurate and reliable final pressure distribution result, and then the support of the seat on each part of the user's body can be accurately understood, so that reliable guidance can be provided for seat support adjustment. BRIEF DESCRIPTION OF DRAWINGS

[0015] Other features, objects and advantages of the present application will become more apparent from the following detailed description of non-limiting embodiments thereof, read in conjunction with the accompanying drawings: Figure 1 a flow chart of the seat pressure distribution detection method provided by the embodiments of the present application; Figure 2 a process schematic diagram of the seat pressure distribution detection method provided by the embodiments of the present application; Figure 3 a structure block diagram of the seat pressure distribution detection system provided by the embodiments of the present application; Figure 4 a structure block diagram of the computer device provided by the embodiments of the present application. DETAILED DESCRIPTION

[0016] The present application will be further described in conjunction with the embodiments and the accompanying drawings. It can be understood that the specific embodiments described herein are only used to explain the related application, but not to limit the application. In addition, it should be noted that, for the convenience of description, only the parts related to the application are shown in the drawings.

[0017] It should be noted that the features of the embodiments in the present application can be combined with each other without conflict. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0018] The pressure distribution detection method, system, seat and device of the seat according to the embodiments of the present application are described in detail below in combination with the accompanying drawings.

[0019] Figure 1 is a flow chart of the pressure distribution detection method of the seat according to one embodiment of the present application. As shown in Figure 1 The pressure distribution detection method of the seat according to the embodiments of the present application comprises the following steps: S101: Obtain the pressure feature parameters and the contact hot zone feature parameters of the user contacting the seat.

[0020] In one implementation scheme, obtaining the pressure feature parameters and the contact hot zone feature parameters of the user contacting the seat comprises: obtaining the pressure distribution data of the user contacting the seat detected by the pressure sensor array; obtaining the hot zone image of the user contacting the seat detected by the infrared thermal imager; extracting the pressure feature parameters of the user contacting the seat from the pressure distribution data, and extracting the contact hot zone feature parameters of the user contacting the seat from the hot zone image, wherein the pressure sensor array and the infrared thermal imager are arranged in the seat surface area and the seat back area.

[0021] The pressure sensor array comprises a plurality of pressure sensors, and the infrared thermal imager can be set in a corresponding number according to actual needs.

[0022] Specifically, in combination with Figure 2As shown, by embedding array pressure sensors (i.e., pressure sensor array) inside the seat surface and backrest (i.e., chair back) of the seat, the pressure data of different areas can be accurately collected. By installing an infrared thermal imager below the seat surface and behind the backrest, the heat zone distribution generated by the human body contacting the seat can be captured, i.e., infrared thermal imaging signal collection, and the contact (human body and seat contact) heat zone image is captured. For example, in the array pressure sensors embedded in the seat surface and backrest, each pressure sensor can use a piezoresistive sensor, the density of the pressure sensor array is, for example, 1-2 per square centimeter, the measurement range is 0kPa-100kPa, and the measurement accuracy is ±2%. It is used to collect pressure data of human body and seat contact. In this example, it is used to collect pressure distribution data of user and seat contact. An infrared thermal imager is installed below the seat surface and behind the backrest of the seat, respectively. The resolution of the infrared thermal imager is usually not less than 320x240 pixels, the temperature measurement range is 20-45°C, the temperature measurement accuracy is ±0.5°C, the sampling frame rate is usually not less than 10fps, and the lens view angle of the infrared thermal imager covers the entire seat surface and backrest area. It is used to capture the contact heat zone image of the human body and the seat, and in this example, it is used to collect the heat zone image of the user and the seat contact.

[0023] In order to improve the quality of the pressure feature parameters and the contact heat zone feature parameters of the user and the seat contact, the pressure distribution data and the heat zone image can be preprocessed before extracting the pressure feature parameters of the user and the seat contact from the pressure distribution data and extracting the contact heat zone feature parameters of the user and the seat contact from the heat zone image. The preprocessing includes: sequentially filtering and normalizing the pressure distribution data; and sequentially filtering and converting the heat zone image to a grayscale image, wherein the grayscale values of different regions in the grayscale image represent actual temperatures.

[0024] As shown in Figure 2 The preprocessing of the pressure distribution data can sequentially use a 5th-order Trews low-pass filter and normalization processing, wherein the normalization is to map the pressure distribution data to the range of 0-1. The preprocessing of the heat zone image sequentially uses 3x3 median filter denoising and stable calibration, wherein the temperature calibration is to convert the heat zone image to grayscale, and after conversion, the grayscale values of different regions in the grayscale image represent actual temperatures.

[0025] That is, the heat zone image of the user contacting the seat and the pressure distribution data of the user contacting the seat are optimized to improve the data quality. After filtering and normalization processing, the pressure distribution data of the user contacting the seat is extracted, for example, the key pressure characteristic parameters such as the pressure peak value, the center coordinate and the distribution entropy are extracted; after denoising and temperature calibration, the contact heat zone characteristic parameters are extracted from the infrared thermal imaging (i.e. heat zone image), for example: the contact heat zone characteristic parameters include the heat zone temperature peak value, the area, the center of gravity coordinate and the temperature gradient. Specifically, the original data collected by the pressure sensor is filtered, a 5-stage Butterworth low-pass filter can be used, the cutoff frequency is 10Hz, the high-frequency noise in the pressure distribution data of the user contacting the seat is removed, and then normalized processing is performed, the denoised pressure distribution data of the user contacting the seat is mapped to the range of 0-1, thereby eliminating the influence of the weight difference of different individuals. Finally, the pressure characteristic parameters of the user contacting the seat are extracted, which include but are not limited to the pressure peak value, the pressure center coordinate and the pressure distribution entropy. The heat zone image of the user contacting the seat can be denoised by using the median filter algorithm, and the window size is 3x3, and then temperature calibration is performed, that is: the filtered heat zone image of the user contacting the seat is converted into a gray scale image, the gray scale values of each part in the gray scale image are converted into actual temperatures, and then the contact heat zone characteristic parameters are extracted, including but not limited to the heat zone temperature peak value, the heat zone area, the heat zone center of gravity coordinate and the temperature gradient.

[0026] S102: Obtain the initial pressure distribution result of the user on the seat according to the pressure characteristic parameters of the user contacting the seat.

[0027] In an embodiment of the present application, obtaining the initial pressure distribution result of the user on the seat according to the pressure characteristic parameters of the user contacting the seat includes: constructing an initial seat pressure distribution model according to the pressure characteristic parameters of the user contacting the seat, wherein the initial seat pressure distribution model includes the initial pressure distribution result of the user on the seat, and the initial pressure distribution result is determined based on the pressure characteristic parameters.

[0028] Specifically, as shown in Figure 2 Based on the pressure characteristic parameters, a pressure distribution model is constructed, that is: based on the pressure characteristic parameters of the user on the seat, an initial pressure distribution model is constructed by using an interpolation algorithm, which includes the initial pressure distribution result of the user on the seat, that is: the pressure distribution of the user on the seat, for example: the pressure of a certain area.

[0029] S103: correcting the initial pressure distribution result according to the contact thermal zone characteristic parameter based on a pre-stored correlation between the pressure characteristic parameter and the contact thermal zone characteristic parameter, to obtain a final pressure distribution result, wherein the final pressure distribution result comprises a human tissue type and pressure of a contact part between the user and the seat.

[0030] In an embodiment of the present application, the final pressure distribution result is obtained by correcting the initial pressure distribution result according to the contact thermal zone characteristic parameter based on a pre-stored correlation between the pressure characteristic parameter and the contact thermal zone characteristic parameter, including: obtaining a correction factor corresponding to the contact thermal zone characteristic parameter according to the correlation between the pressure characteristic parameter and the contact thermal zone characteristic parameter; and correcting the initial pressure distribution result according to the correction factor.

[0031] It should be noted that the correlation between the pressure characteristic parameter and the contact thermal zone characteristic parameter is pre-constructed, and specifically, before the final pressure distribution result is obtained by correcting the initial pressure distribution result according to the contact thermal zone characteristic parameter based on a pre-stored correlation between the pressure characteristic parameter and the contact thermal zone characteristic parameter, it further includes: calculating the correlation between the contact thermal zone characteristic parameter and the pressure characteristic parameter by a Pearson correlation coefficient; and obtaining the correlation between the pressure characteristic parameter and the contact thermal zone characteristic parameter according to the correlation.

[0032] As a specific example, the correlation between the contact thermal zone characteristic parameter and the pressure characteristic parameter is determined by thermal zone and pressure characteristic correlation analysis, and finally the contact thermal zone characteristic parameter is used as a correction factor to optimize the pressure of each position in the initial pressure distribution model for the bone protrusion area and the muscle area, that is, the initial pressure distribution model (i.e., the seat pressure distribution model) is corrected to obtain the final pressure distribution result.

[0033] Specifically, as shown in Figure 2 In the thermal zone and pressure characteristic correlation analysis, the correlation between the contact thermal zone characteristic parameter and the pressure characteristic parameter can be calculated by a Pearson correlation coefficient, for example, the correlation between the temperature peak and the pressure peak, and the correlation between the thermal zone gravity center coordinates and the pressure center coordinates. Then, according to the analysis result of the correlation, the contact thermal zone characteristic parameter of the user and the seat obtained in step S101 is used as a correction factor to correct the initial pressure distribution model, for example, for the bone protrusion area, the corresponding thermal zone temperature is relatively low and the temperature gradient is large, and the pressure value is high, so the pressure value weight of this area is adjusted by the contact thermal zone characteristic parameter, for the muscle tissue area, the corresponding thermal zone temperature is relatively high and the temperature gradient is small, and the pressure value is relatively low, and the pressure value is also optimized according to the contact thermal zone characteristic parameter.

[0034] Finally, the final pressure distribution result can be displayed in the form of a visual image, for example, a visual pressure distribution image is displayed, and key parameters of each region, such as regional pressure values and pressure center trajectories, are displayed, where each region corresponds to a human tissue region. In this way, the pressure conditions of muscle tissue and bone tissue can be quickly understood.

[0035] In an embodiment of the present application, the pressure distribution detection method of the seat further includes: generating pressure adjustment instructions for different regions according to the final pressure distribution result; and adjusting the support of the seat on the user in different regions according to the pressure adjustment instructions. That is, the pressure change can be monitored in real time and adjustment instructions can be generated according to the final pressure distribution result. Thus, the support pressure of the seat can be appropriately reduced for parts with excessive pressure, and the support of the seat can be appropriately increased for parts with insufficient pressure. In this way, the use experience of the seat can be effectively improved, and the physical fatigue of the user can be effectively reduced or even eliminated.

[0036] The pressure distribution detection method of the seat according to the embodiments of the present application can be applied to intelligent seats such as office chairs, car seats, medical rehabilitation equipment, and other scenarios that require accurate monitoring of the contact state between the human body and the seat, to provide accurate and reliable pressure monitoring for the seat.

[0037] According to the pressure distribution detection method of the seat according to the embodiments of the present application, the initial pressure distribution result of the user on the seat can be obtained by the obtained pressure characteristic parameters of the user in contact with the seat, and then the initial pressure distribution result can be accurately corrected by the obtained contact hot zone characteristic parameters of the user in contact with the seat to obtain an accurate and reliable final pressure distribution result. In this way, the support of the seat on each part of the user's body can be accurately understood, and reliable guidance can be provided for seat support adjustment.

[0038] For example, the support pressure of the seat can be appropriately reduced for parts with excessive pressure, and the support of the seat can be appropriately increased for parts with insufficient pressure, effectively improving the use experience of the seat and effectively reducing or even eliminating the physical fatigue of the user.

[0039] Figure 3 is a structural block diagram of a pressure distribution detection system of a seat according to an embodiment of the present application. As shown in Figure 3 The pressure distribution detection system of the seat according to an embodiment of the present application includes an acquisition module 310, an initial pressure determination module 320, and a pressure distribution detection module 330. The acquisition module 310 is configured to obtain pressure characteristic parameters and contact hot zone characteristic parameters of a user in contact with a seat. The initial pressure determination module 320 obtains an initial pressure distribution result of the user on the seat according to the pressure characteristic parameter of the user contacting the seat; The pressure distribution detection module 330 corrects the initial pressure distribution result according to the association between the pre-stored pressure characteristic parameter and the contact hot area characteristic parameter, and obtains a final pressure distribution result, wherein the final pressure distribution result includes the human tissue type and the pressure of the part of the user contacting the seat.

[0040] According to the pressure distribution detection system of the seat, the initial pressure distribution result of the user on the seat can be obtained according to the obtained pressure characteristic parameter of the user contacting the seat, then the initial pressure distribution result can be corrected accurately according to the obtained contact hot area characteristic parameter of the user contacting the seat, and the accurate and reliable final pressure distribution result is obtained, and then the support of the seat on each part of the user's body can be accurately understood, so that reliable guidance can be provided for the support adjustment of the seat.

[0041] For example, the support pressure of the seat can be appropriately reduced for the part with excessive pressure, and the support of the seat on the part with insufficient pressure can be appropriately increased, so as to effectively improve the use experience of the seat and effectively reduce or even eliminate the physical fatigue of the user.

[0042] The specific limitation of the pressure distribution detection system of the seat can be referred to the limitation of the pressure distribution detection method of the seat in the above, and details are not described herein. The modules of the pressure distribution detection system of the seat can be realized by software, hardware and combinations thereof. The modules can be embedded in or independent of the processor in the computer device in the form of hardware, or stored in the memory of the computer device in the form of software, so as to be called and executed by the processor.

[0043] In one embodiment, a seat is provided, which comprises the pressure distribution detection system of the seat according to the above embodiments, and the initial pressure distribution result of the user on the seat can be obtained according to the obtained pressure characteristic parameter of the user contacting the seat, then the initial pressure distribution result can be corrected accurately according to the obtained contact hot area characteristic parameter of the user contacting the seat, and the accurate and reliable final pressure distribution result is obtained, and then the support of the seat on each part of the user's body can be accurately understood, so that reliable guidance can be provided for the support adjustment of the seat.

[0044] For example, the support pressure of the seat can be appropriately reduced for the part with excessive pressure, and the support of the seat for the part with insufficient pressure can be appropriately increased, so as to effectively improve the use experience of the seat and effectively reduce or even eliminate the body fatigue of the user.

[0045] In addition, other configurations and effects of the seat according to the embodiments of the present application are known to those skilled in the art, and are not described here.

[0046] In an embodiment, a computer device is provided. Figure 4 For the structural block diagram of the computer device provided in the embodiments of the present application, reference is made to Figure 4 . The computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the aforementioned pressure distribution detection method of the seat when executing the computer program. For example, the following steps are executed: obtaining the pressure feature parameter and the contact hot zone feature parameter of the user contacting the seat; obtaining the initial pressure distribution result of the user on the seat according to the pressure feature parameter of the user contacting the seat; correcting the initial pressure distribution result by the contact hot zone feature parameter according to the pre-stored association relationship between the pressure feature parameter and the contact hot zone feature parameter, to obtain the final pressure distribution result, wherein the final pressure distribution result includes the human tissue type and the pressure of the part of the user contacting the seat.

[0047] The embodiments of the present application also provide a computer readable storage medium, which stores a computer program, and the processor implements the aforementioned pressure distribution detection method of the seat when executing the computer program. For example, the following steps are executed: obtaining the pressure feature parameter and the contact hot zone feature parameter of the user contacting the seat; obtaining the initial pressure distribution result of the user on the seat according to the pressure feature parameter of the user contacting the seat; correcting the initial pressure distribution result by the contact hot zone feature parameter according to the pre-stored association relationship between the pressure feature parameter and the contact hot zone feature parameter, to obtain the final pressure distribution result, wherein the final pressure distribution result includes the human tissue type and the pressure of the part of the user contacting the seat.

[0048] The embodiments of the present application provide a computer program product, which includes instructions, and when the instructions are executed, the method as described in the embodiments of the present application is executed. For example, the following steps of the pressure distribution detection method of the seat shown in Figure 1 may be executed, for example, the following steps are executed: obtaining the pressure feature parameter and the contact hot zone feature parameter of the user contacting the seat; According to the pressure characteristic parameter of the user contacting the seat, an initial pressure distribution result of the user on the seat is obtained; According to a pre-stored correlation between the pressure characteristic parameter and the contact hot zone characteristic parameter, the initial pressure distribution result is corrected through the contact hot zone characteristic parameter to obtain a final pressure distribution result, wherein the final pressure distribution result includes a human tissue type and pressure of a part of the user contacting the seat.

[0049] Those skilled in the art can understand that all or part of the processes in the method for implementing the above embodiments can be completed by instructing related hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium. When the computer program is executed, it can include the processes of the above embodiments of each method. Any reference to memory, storage, database or other medium used in each embodiment provided by the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory or optical memory, etc. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration but not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0050] Each technical feature of the above embodiments can be combined arbitrarily. In order to make the description simple, all possible combinations of each technical feature in the above embodiments are not described, however, as long as the combination of these technical features does not exist contradictory, it should be considered as the scope of the present application.

[0051] The above embodiments only express several implementation manners of the present application, and the description is more specific and detailed, but it should not be understood as a limitation on the patent scope of the application. It should be pointed out that for ordinary skilled in the art, without departing from the concept of the present application, several modifications and improvements can be made, which are all within the protection scope of the present application. Therefore, the patent protection scope of the present application should be subject to the appended claims.

Claims

1. A method of detecting pressure distribution of a seat, characterized by, The method comprises: obtaining a pressure feature parameter and a contact thermal zone feature parameter of a user contacting a seat; obtaining an initial pressure distribution result of the user on the seat according to the pressure feature parameter of the user contacting the seat; correcting the initial pressure distribution result according to a pre-stored correlation between the pressure feature parameter and the contact thermal zone feature parameter, and obtaining a final pressure distribution result through the contact thermal zone feature parameter, wherein the final pressure distribution result comprises a human tissue type and a pressure of a part of the user contacting the seat.

2. The pressure distribution detection method of a seat according to claim 1, characterized by, The method comprises: obtaining pressure distribution data of the user contacting the seat detected by a pressure sensor array; obtaining a thermal zone image of the user contacting the seat detected by an infrared thermal imager; extracting the pressure feature parameter of the user contacting the seat from the pressure distribution data and extracting the contact thermal zone feature parameter of the user contacting the seat from the thermal zone image, wherein the pressure sensor array and the infrared thermal imager are arranged in a seat surface area and a seat back area of the seat.

3. The pressure distribution detection method of a seat according to claim 2, characterized by, Before extracting the pressure feature parameter of the user contacting the seat from the pressure distribution data and extracting the contact thermal zone feature parameter of the user contacting the seat from the thermal zone image, the method further comprises: performing filtering and normalization operations on the pressure distribution data in sequence; performing filtering and grayscale conversion on the thermal zone image in sequence to obtain a grayscale image, wherein grayscale values of different areas in the grayscale image represent actual temperatures.

4. The pressure distribution detection method of a seat according to any one of claims 1 to 3, characterized by, The method comprises: constructing an initial seat pressure distribution model according to the pressure feature parameter of the user contacting the seat, wherein the initial seat pressure distribution model comprises the initial pressure distribution result of the user on the seat, and the initial pressure distribution result is determined based on interpolation of the pressure feature parameter.

5. The pressure distribution detecting method of a seat according to claim 4, characterized by, The method comprises: obtaining a correction factor corresponding to the contact thermal zone feature parameter according to the correlation between the pressure feature parameter and the contact thermal zone feature parameter; correcting the initial pressure distribution result according to the correction factor.

6. The pressure distribution detecting method of a seat according to claim 5, wherein Before correcting the initial pressure distribution result according to the pre-stored correlation between the pressure feature parameter and the contact thermal zone feature parameter, and obtaining the final pressure distribution result through the contact thermal zone feature parameter, the method further comprises: calculating a correlation between the contact thermal zone feature parameter and the pressure feature parameter through a Pearson correlation coefficient; obtaining the correlation between the pressure feature parameter and the contact thermal zone feature parameter according to the correlation.

7. The pressure distribution detecting method of a seat according to claim 1, wherein The method further comprises: generating pressure adjustment instructions for different areas according to the final pressure distribution result; adjusting supports of the user on the seat in different areas according to the pressure adjustment instructions.

8. A pressure distribution detection system for a seat, characterized by, The method comprises: An acquisition module is configured to obtain a pressure characteristic parameter and a contact hot zone characteristic parameter of a user contacting a seat; An initial pressure determination module is configured to obtain an initial pressure distribution result of the user on the seat according to the pressure characteristic parameter of the user contacting the seat; A pressure distribution detection module is configured to correct the initial pressure distribution result according to a pre-stored correlation between the pressure characteristic parameter and the contact hot zone characteristic parameter, and obtain a final pressure distribution result, wherein the final pressure distribution result comprises a human tissue type and a pressure of a part of the user contacting the seat.

9. A seat, characterized by The application further provides a computer program product comprising a computer program. The application further provides a seat pressure distribution detection system comprising the computer program product. 10.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is configured to perform the method according to any one of claims 1-9. The application further provides a seat pressure distribution detection method comprising the computer program product. The application further provides a seat pressure distribution detection system comprising the computer program product. The application further provides a seat pressure distribution detection method comprising the computer program product. The application further provides a seat pressure distribution detection system comprising the computer program product. The application further provides a seat pressure distribution detection method comprising the computer program product. The application further provides a seat pressure distribution detection system comprising the computer program product. The application further provides a seat pressure distribution detection method comprising the computer program product. The application further provides a seat pressure distribution detection system comprising the computer program product. The application further provides a seat pressure distribution detection method comprising the computer program product. The application further provides a seat pressure distribution detection system comprising the computer program product. The application further provides a seat pressure distribution detection method comprising the computer program product. The application further provides a seat pressure distribution detection system comprising the computer program product. The application further provides a seat pressure distribution detection method comprising the computer program product. The application further provides a seat pressure distribution detection system comprising the computer program product. The application further provides a seat pressure distribution detection method comprising the computer program product. The application further provides a seat pressure distribution detection system comprising the computer program product. The application further provides a seat pressure

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