An automotive seating system and automotive product

Abstract

This invention discloses an automotive seat system and an automotive product. The automotive seat system includes a seat, multiple pressure sensing units, and a control unit. The pressure sensing units are distributed across the seat cushion and backrest components. The pressure sensing units detect pressure data, and the control unit receives the pressure data detected by each unit and performs a health assessment based on the pressure data. This invention allows for health assessment of occupants simply by sitting naturally in the seat, without relying on their self-awareness. This enables health monitoring of occupants while seated in a car, facilitating the monitoring and prevention of health risks for drivers and passengers. Since no health monitoring equipment is required, it avoids affecting the posture of occupants, thus ensuring driving safety. This invention has wide applications in the automotive technology field.

Description

Technical Field

[0001] This invention relates to the field of automotive technology, and in particular to an automotive seat system and automotive products. Background Technology

[0002] While driving, drivers are prone to health risks such as lumbar spine injuries due to poor posture, such as maintaining an unsupported lower back for extended periods, uneven weight distribution, and crossing their legs. Current automotive technology is insufficient to monitor and prevent these health risks, relying instead on driver awareness or wearing health monitoring devices. However, by the time drivers notice discomfort, irreversible lumbar spine damage has often already occurred. Furthermore, wearing health monitoring devices can easily prevent drivers from maintaining a proper driving posture, compromising driving safety. Summary of the Invention

[0003] In view of at least one of the above-mentioned technical problems, the present invention aims to provide an automotive seat system and an automotive product.

[0004] On one hand, embodiments of the present invention include an automotive seat system, the automotive seat system comprising: Seats; Multiple pressure sensing units; each of the pressure sensing units is distributed and disposed on the seat cushion component and backrest component of the seat, and the pressure sensing units are used to detect and obtain pressure data; Control unit; the control unit is used to receive the pressure data detected by each of the pressure sensing units and to perform a health assessment based on the pressure data.

[0005] Furthermore, the car seat system also includes an identity detection unit; the identity detection unit is used to detect the identity of the person sitting in the seat and obtain identity information; The health assessment based on the aforementioned stress data includes: Obtain the position information of each pressure sensing unit; Using the location information as an index, the pressure data detected at the first moment are mapped into a first data matrix; Based on the identity information, multiple reference data matrices are invoked; each of the reference data matrices is obtained by mapping pressure data detected by a pressure sensing unit of a subject corresponding to the identity information in a specific sitting posture. Determine a reference data matrix that matches the first data matrix; Based on the determined baseline data matrix, the first health status information is determined.

[0006] Furthermore, the car seat unit also includes multiple temperature control units; each temperature control unit is distributed in the seat cushion component and backrest component of the seat, and the temperature control unit is used for controlled heating or cooling; Control unit; the control unit is used to control each of the temperature control units according to the pressure data.

[0007] Furthermore, controlling each of the temperature control units based on the pressure data includes: Obtain the position information of each pressure sensing unit; Using the location information as an index, the pressure data detected at the second time point are mapped into a second data matrix, and the pressure data detected at the third time point are mapped into a third data matrix; the third time point is after the second time point. The temperature control units are controlled according to the second data matrix and the third data matrix.

[0008] Further, controlling each of the temperature control units according to the second data matrix and the third data matrix includes: The third data matrix is ​​compared with the second data matrix to determine the heating mode or the cooling mode; When the heating mode is determined, the temperature control unit is controlled to perform heating. When the cooling mode is determined, the temperature control unit is controlled to perform cooling.

[0009] Further, the step of comparing the third data matrix with the second data matrix to determine the heating mode or cooling mode includes: The extreme value elements of the second data matrix are detected to obtain the location information of the second extreme value; The extreme value elements of the third data matrix are detected to obtain the position information of the third extreme value; the extreme value elements represent the elements belonging to the extreme values. Obtain the overlap between the second extreme value location information and the third extreme value location information; When the overlap is greater than a threshold, the heating mode is determined; otherwise, the cooling mode is determined.

[0010] Furthermore, the control unit is used to invoke each of the pressure sensing units to perform health assessments based on the control of each of the temperature regulating units.

[0011] Furthermore, the step of invoking each of the pressure sensing units to perform a health assessment based on the control of each of the temperature control units includes: Set the target temperature-time curve; During the first time period, each of the temperature control units is controlled to perform temperature adjustment according to the target temperature time curve; During the first time period, the pressure-time curve is detected by the pressure sensing unit synchronously with each of the temperature control units. The second health status information is determined based on the target temperature-time curve and the pressure-time curve.

[0012] Further, determining the second health status information based on the target temperature-time curve and the pressure-time curve includes: Obtain the cross-correlation function between the target temperature-time curve and the pressure-time curve; Determine the duration information when the cross-correlation function reaches its maximum value; The second health status information is determined based on the duration information.

[0013] On the other hand, embodiments of the present invention also include an automotive product, the automotive product including the automotive seat system in the embodiments.

[0014] The beneficial effects of the present invention are as follows: the car seat system in the embodiment allows for health assessment of people simply by having them sit naturally in the seat, without relying on their self-awareness, thereby enabling health monitoring of people while they are in the car seat and enabling the monitoring and prevention of health risks for drivers, passengers, and other occupants; since people do not need to wear health monitoring equipment, it avoids affecting the sitting posture of occupants, thus ensuring driving safety. Attached Figure Description

[0015] Figure 1 This is a schematic diagram of the car seat system in the embodiment; Figure 2 This is a schematic diagram of the structure of a single composite functional unit in the embodiment; Figure 3 This is a schematic diagram illustrating the steps of the control method for the car seat system in the embodiment; Figure 4 This is a schematic diagram of the first data matrix in the embodiment; Figure 5 This is a schematic diagram illustrating the first type of correspondence between the second and third data matrices in the embodiment; Figure 6 This is a schematic diagram illustrating a second type of correspondence between the second data matrix and the third data matrix in an embodiment. Detailed Implementation

[0016] This embodiment provides an automotive seat system. The automotive seat system includes a control unit, a seat, and multiple composite functional units. (Refer to...) Figure 1The various composite functional units are distributed and arranged in the seat cushion and backrest components of the seat, and can be embedded inside the skin of the seat cushion and backrest components.

[0017] In this embodiment, the structure of a single composite functional unit is as follows: Figure 2 As shown. (Refer to...) Figure 2 Each composite functional unit consists of a pressure sensing unit, a heating unit, and a cooling unit, with the heating and cooling units forming a temperature control unit. The pressure sensing unit is equipped with a thin-film pressure sensor that detects pressure and outputs pressure data. The heating unit contains components such as a resistance wire, which generates heat when energized. The cooling unit can be the cold end of a semiconductor cooling component, providing cooling when operational. The hot end of the semiconductor cooling component can be located inside the seat or elsewhere, dissipating heat through methods such as air cooling to ensure the cooling function of the unit.

[0018] In this embodiment, Figure 2 The composite functional unit shown combines pressure detection, heating, and cooling functions. In this embodiment, the heating unit and the cooling unit do not operate simultaneously. When the heating unit operates, it performs the heating function of the temperature control unit; when the cooling unit operates, it performs the cooling function of the temperature control unit. The pressure sensing unit can operate simultaneously with either the heating unit or the cooling unit.

[0019] In this embodiment, a component with functions such as data acquisition, data processing, and control, such as an Electronic Control Unit (ECU), is used as the control unit. The data input terminal of the control unit is connected to the data output terminal of each pressure sensing unit, thereby enabling it to receive the pressure data detected by each pressure sensing unit; the control terminal of the control unit is connected to the controlled terminal of the drive circuit of each heating unit and each cooling unit, thereby enabling it to control each heating unit and each cooling unit to operate or stop operating, and to control the heating power (target temperature) of each heating unit and the cooling power (target temperature) of each cooling unit.

[0020] In this embodiment, refer to Figure 1 Since the various composite functional units are distributed in the seat cushion and backrest components, the pressure sensing units, heating units and cooling units are also distributed in the seat cushion and backrest components.

[0021] In this embodiment, based on Figure 1 The structure of the car seat system shown is as follows: Figure 2 The structure of the composite functional unit shown indicates that the control unit can execute control methods for the automotive seat system. (Refer to...) Figure 3The control method for a car seat system includes the following steps: S1. Receive pressure data detected by each pressure sensing unit and perform a health assessment based on the pressure data; S2. Control each temperature control unit based on the pressure data; S3. Based on the control of each temperature control unit, call each pressure sensing unit to perform a health assessment.

[0022] In this embodiment, steps S1-S3 are parallel. For example, the control unit can choose to execute only step S1 without executing steps S2 and S3, or it can choose to execute only step S2 without executing steps S1 and S3, or it can choose to execute only step S3 without executing steps S1 and S2.

[0023] Step S1 involves individually calling each pressure sensing unit to conduct a health assessment of the occupants (e.g., the driver or passengers) sitting in the seats; Step S2 involves first calling each pressure sensing unit to perform detection, and then controlling each temperature control unit based on the detection results of each pressure sensing unit; Step S3 involves first controlling each temperature control unit, and then, based on the impact of controlling each temperature control unit on the occupants, calling each pressure sensing unit to conduct a health assessment of the occupants.

[0024] In this embodiment, when the control unit performs step S1, which is the health assessment based on various pressure data, it can specifically perform the following steps: S101. Obtain the position information of each pressure sensing unit; S102. Using the location information as an index, map the pressure data detected at the first moment into a first data matrix; S103. Based on the identity information, call up multiple baseline data matrices; S104. Determine a reference data matrix that matches the first data matrix; S105. Determine the first health status information based on the established baseline data matrix.

[0025] In step S101, the location information of the pressure sensing unit can be either the spatial location information of the pressure sensing unit on the seat or the address information of the pressure sensing unit when communicating with the control unit.

[0026] In step S102, the control unit converts the position information of a pressure sensing unit into row and column numbers in a matrix, thereby determining the position of the pressure data detected by that pressure sensing unit in the matrix. Since the pressure data detected by each pressure sensing unit can be mapped to a corresponding position in the same matrix, in this embodiment, all pressure sensing units are at the same first moment...t The pressure data detected at any given time is mapped into a matrix to form the first data matrix. M 1.

[0027] In this embodiment, the first data matrix M The content of 1 is as follows Figure 4 As shown. First data matrix M Let I be a matrix with I rows and J columns. If the number of pressure sensing units is N, then I × J ≥ N is required to ensure that the pressure data detected by each pressure sensing unit can be mapped to the same matrix. If N is not exactly equal to I × J, then the first data matrix... M In step 1, some elements may not be mapped to pressure data detected by any pressure sensing unit, so the values ​​of these elements can be set to 0.

[0028] In this embodiment, the detected first data matrix M 1 represents the distribution of pressure exerted on the seat by a person sitting on it. It corresponds to the person's sitting posture and thus reflects the characteristics of the person's sitting posture.

[0029] In this embodiment, the calibration test can be performed by the manufacturer of the automotive seat system. During the calibration test, the manufacturer can set multiple different identity information (specifically determined by parameters such as age, gender, and weight) and invite multiple subjects with each identity information to participate. The subjects sit in the vehicle seat system... Figure 1 On the chair with the structure shown, various sitting postures were observed, including standard sitting posture, unhealthy sitting posture 1 (e.g., lower back unsupported), and unhealthy sitting posture 2 (e.g., crossing legs), thereby detecting multiple characteristics. Figure 4 The reference data matrix is ​​shown in the form shown. In this embodiment, the correspondence between each reference data matrix and identity information and sitting posture is shown in Table 1.

[0030] Table 1

[0031] In step S103, the control unit can invoke the identity detection unit (e.g., a camera with facial, body shape, and age recognition functions) on the vehicle equipped with the car seat system to detect the identity of the person sitting in the seat and obtain their identity information. The control unit detects the identity information in Table 1 that best matches the identity information of the person in the seat (let's assume it's identity information 2), thereby obtaining the baseline data matrix corresponding to various sitting postures of the person with identity information 2. M 0_4 , benchmark data matrix M 0_5 and benchmark data matrix M0_6 Multiple benchmark data matrices.

[0032] In step S104, the control unit executes the matrix similarity algorithm to calculate the first data matrix respectively. M 1 and M 0_4 , M 0_5 and M 0_6 The similarity between each benchmark data matrix is ​​used to determine the relationship with the first data matrix. M The baseline data matrix with the highest similarity to 1 (let's assume it's...). M 0_5 ) as the first data matrix M 1. A matching baseline data matrix.

[0033] In step S105, the first health status information is determined based on the reference data matrix determined in step S104. For example, in this embodiment, the reference data matrix determined in step S104 is... M 0_5 Referring to Table 1, the corresponding sitting posture is unhealthy posture 1 (lower back unsupported). This posture is unhealthy, so the control unit can generate the first health status information with the content "unhealthy". The control unit can also generate a prompt message with the content "Your current sitting posture is unhealthy" and send the prompt message to the human-computer interaction module for display, thereby reminding the person sitting in the seat that their current sitting posture is unhealthy and suggesting that they correct their posture in time.

[0034] The car seat system in this embodiment, through pressure sensing units distributed on the seat cushion and backrest components, can detect the pressure data generated by various body parts of the person on the seat when they sit in contact with these components. This pressure data is mapped to a first data matrix. By comparing this first data matrix with a baseline data matrix (i.e., the data matrices generated by different sitting postures with the same identity information), the person's sitting posture is determined, and a health assessment is performed based on the health level of the posture. This car seat system allows for health assessment of individuals simply by them sitting naturally, without relying on their self-awareness. This enables health monitoring while seated, allowing for the monitoring and prevention of health risks for drivers, passengers, and other occupants. Since no health monitoring equipment is required, it avoids affecting the sitting posture of occupants, thus ensuring driving safety.

[0035] In this embodiment, when the control unit executes step S2, which is to control each temperature control unit based on each pressure data, it can specifically perform the following steps: S201. Obtain the position information of each pressure sensing unit; S202. Using the location information as an index, the pressure data detected at the second time point are mapped into a second data matrix, and the pressure data detected at the third time point are mapped into a third data matrix; S203. Control each temperature control unit according to the second data matrix and the third data matrix.

[0036] In this embodiment, the principle of steps S201-S202 is the same as that of steps S101-S102, the difference being the detection time. Specifically, in steps S201-S202, each pressure sensing unit is detected at the same second time. t 2. The pressure data detected (specifically, at any given time) is mapped into a matrix to form a second data matrix. M 2, at the second moment t The moment after 2, i.e., the third moment. t 3. The control unit also calls upon each pressure sensing unit to perform detection, thereby obtaining the corresponding third data matrix. M 3.

[0037] In this embodiment, due to the second data matrix M 2 includes personnel in the second moment t 2. Postural characteristics, third data matrix M 3 includes personnel in the third moment. t The sitting posture characteristics of 3, therefore, by comparing the third data matrix M 3 and the second data matrix M 2. It can be determined that personnel will be present from the second moment. t 2 to the third moment t 3. Changes in sitting posture.

[0038] Specifically, during step S203, the control unit processes the second data matrix. M The values ​​of each element in 2 are analyzed to determine the second data matrix. M 2. Elements belonging to extreme values ​​such as maxima (i.e., local maxima) or minima (i.e., local minima). In this embodiment, the second data matrix is ​​determined. M 2. Elements belonging to the maxima are used as the second data matrix. M The extreme element of 2, whose position is the second extreme value position information.

[0039] For example, refer to Figure 5 and Figure 6 Second data matrix M The elements marked in red in section 2 are the second data matrix. M The maximum element in 2, in the second data matrixM The row and column numbers in 2 represent the second extreme value location information.

[0040] Similarly, during step S203, the control unit processes the third data matrix. M The values ​​of each element in 3 are analyzed to determine the third data matrix. M The elements of the three maxima are used as the third data matrix. M The extreme element of 3 has its position as the third extreme value position information.

[0041] In this embodiment, since both the second and third extreme value position information are combinations of row and column indices, the control unit can treat the second and third extreme value position information as vectors respectively. Using a vector similarity algorithm, the similarity between the second and third extreme value position information is calculated, which serves as the degree of overlap between the two information. In this embodiment, the third data matrix M The third extreme value location information corresponding to 3 and the second data matrix M The location information of the second extreme value corresponding to 2 may have two corresponding relationships.

[0042] The first type of correspondence is as follows: Figure 5 As shown, the overlap between the second and third extreme value location information is greater than a threshold (e.g., 80%), indicating that the second data matrix... M The maximum element present in 2 exists in the second data matrix. M The position (row and column number) in 2, and the third data matrix M The maximum value element in 3 exists in the third data matrix. M The positions (row and column numbers) in 3 are the same, and it can only be the third data matrix. M The magnitude of the maximum element in 3 is relative to the second data matrix. M The magnitude of the maximum element in 2 has changed.

[0043] The second type of correspondence is as follows: Figure 6 As shown, the overlap between the second and third extreme value location information is less than a threshold (e.g., 30%), indicating that the second data matrix... M The maximum element present in 2 exists in the second data matrix. M The position (row and column number) in 2, and the third data matrix M The maximum value element in 3 exists in the third data matrix. M The positions (row and column numbers) in 3 are different, meaning the positions of the maximum value elements have changed.

[0044] In this embodiment, Figure 5 The first correspondence shown indicates that the person sitting in the seat, from the second moment... t 2 to the third moment t The change in sitting posture 3 is a movement perpendicular to the seat surface (such as up and down movement relative to the seat), which usually indicates that the person feels cold. Therefore, in order to ensure the comfort of the person sitting in the seat, it is appropriate to control the temperature control unit to work in the heating mode, that is, control the heating unit to heat.

[0045] In this embodiment, Figure 6 The second correspondence shown indicates that the person sitting in the seat, from the second moment... t 2 to the third moment t 3. The change in sitting posture is a movement parallel to the seat surface (such as moving left and right on the seat), which usually indicates that the person feels heat. Therefore, in order to ensure the comfort of the person sitting in the seat, it is appropriate to control the temperature control unit to work in the cooling mode, that is, control the cooling unit to cool.

[0046] In this embodiment, by executing step S2, the car seat system can intelligently detect whether the person feels cold or hot based on the changes in the pressure data distribution generated by the person on the seat. This allows the temperature control unit to adjust the temperature appropriately, alleviating the person's feeling of cold or heat, thereby improving the intelligence level of the car seat system and ensuring the comfort of the person sitting in the car seat.

[0047] In this embodiment, when the control unit executes step S3, which is the step of calling each pressure sensing unit to perform a health assessment based on the control of each temperature control unit, it can specifically perform the following steps: S301. Set the target temperature-time curve; S302. During the first time period, control each temperature control unit to perform temperature adjustment according to the target temperature time curve; S303. During the first time period, the pressure time curve is detected by each pressure sensing unit synchronously with each temperature control unit. S304. Determine the second health status information based on the target temperature-time curve and the pressure-time curve.

[0048] In step S301, the control unit can set the time from the fourth moment. t 4 to 5 moments t The first time period of 5 [ t 4, t The target temperature-time curves within [5] correspond to... T 1. T 2…… T n Multiple target temperature values, each corresponding to the first time period [ t4, t [5] includes n equally divided time points, including the left and right endpoints.

[0049] In step S302, when the timer reaches the fourth moment... t 4. The control unit can sequentially read the target temperature-time curve corresponding to... T 1. T 2…… T n Wait for each target temperature value until the timer reaches the fifth moment. t 5, so that in the first time period [ t 4, t [5] Inside, the temperature of the seat surface is adjusted to... T 1. T 2…… T n Each target temperature value can be fitted to a continuous target temperature-time curve. T ( t ),in t Represents a time variable. T This indicates the target temperature value.

[0050] Specifically, if the first target temperature value T If the temperature is lower than the ambient temperature in the car's passenger compartment, then the control unit can activate the fourth time. t 4. Control all refrigeration units to T 1 is used as the target temperature for heating; then, if the second target temperature value... T 2 is higher than the first target temperature value. T 1. Then the control unit can be in the fourth moment. t After 4, control all cooling units at an equal interval. T 2. Cooling is performed at the target temperature... Step S303 is executed synchronously with step S302. For example, at the fourth moment... t 4. The control unit controls all temperature adjustment units to adjust the temperature, and simultaneously calls each pressure sensing unit to detect pressure data, calculating the average value of all detected pressure data to obtain the fourth time step. t 4 corresponds to the average pressure p 1; at the fourth moment t At the next equal time interval after step 4, the control unit controls all temperature adjustment units to adjust the temperature, while simultaneously calling each pressure sensing unit to detect pressure and calculating the average value of all detected pressure data to obtain the fourth time interval. t The average pressure corresponding to an equal time interval after 4 p 2...at the fifth moment t5. The control unit controls all temperature adjustment units to adjust the temperature, and simultaneously calls each pressure sensing unit to detect pressure, and calculates the average value of all detected pressure data to obtain the fifth time step. t 5 corresponds to the average pressure p n Ultimately, the first time period was obtained. t 4, t Multiple pressure values ​​within 5] p 1. p 2…… p n These pressure values ​​can be fitted to a continuous pressure-time curve. p ( t ),in t Represents a time variable. p This indicates the average pressure exerted on the seat by a person sitting in it.

[0051] In this embodiment, the target temperature-time curve T ( t The control unit actively controls the temperature adjustment unit on the seat to adjust the temperature, so that the time curve of the temperature reached by the seat surface is within the target temperature time curve. T ( t In the case that the curve is not straight, the temperature of the seat surface can be adjusted in the first time period. t 4, t 5] The temperature of the seat surface changes over time, causing the person sitting in the seat to feel a change in temperature; while the pressure-time curve p ( t This refers to the test results of the actual pressure exerted by the person on the seat; due to the target temperature-time curve. T ( t Non-gradual changes in temperature will create a sensation of "from cold to hot" or "from hot to cold" for people sitting in the seat, thus prompting them to make movements relative to the seat, causing changes in the pressure exerted on the seat, i.e., the target temperature-time curve. T ( t This is generated by active control, while the pressure-time curve... p ( t This is generated by the passive reaction of personnel, as shown in the stress-time curve. p ( t The peak-valley characteristics of the target temperature over time curve will be more pronounced than those of the target temperature over time curve. T ( t (Delay for a certain period of time)

[0052] Based on the above principles, in this embodiment, the control unit can calculate the target temperature-time curve. T ( t (and pressure-time curve) p (t cross-correlation function R ( τ ),in τ This is a time delay variable. If a duration information... τ 0 can be τ = τ 0 makes | R ( τ If we take the maximum value, then... τ 0 represents the target temperature-time curve. T ( t (and pressure-time curve) p ( t The optimal time delay between the two parameters means that the control unit controls the temperature control unit according to the pressure-time curve. p ( t The temperature is adjusted so that the seat surface changes from "cold" to "hot" or "hot" to "cold," and the reaction time of the person sitting in the seat in response to this change in physical sensation. (Duration information) τ 0 reflects the health status of the person sitting in the seat, such as the duration of the information. τ When the time threshold is greater than 0 (which can be determined through calibration tests), it indicates that the person sitting in the seat is too slow to react to changes in the seat's temperature, which may alert the person to health risks (such as poor blood circulation due to improper posture or prolonged sitting, leading to slow reaction). At this time, a second health status information with the content "unhealthy" can be generated. The control unit can also generate a prompt message with the content "Your current posture is unhealthy" and send the prompt message to the human-computer interaction module for display, thereby reminding the person sitting in the seat that their current posture is unhealthy and suggesting that they correct their posture in time.

[0053] In this embodiment, by executing step S3, the temperature change of the car seat can be actively controlled, and the responsiveness of the person can be intelligently detected based on the change in the pressure data generated by the person on the seat. This allows for the control and judgment of the person's health status, thereby improving the intelligence level of the car seat system. It can effectively identify common improper sitting postures or prolonged sitting time that lead to poor blood circulation and sluggish reactions, and provide timely health risk warnings to reduce the possibility of more serious diseases or traffic risks.

[0054] It should be noted that, unless otherwise specified, when a feature is referred to as "fixed" or "connected" to another feature, it can be directly fixed or connected to the other feature, or indirectly fixed or connected to the other feature. Furthermore, the descriptions of "upper," "lower," "left," and "right" used in this disclosure are only relative to the relative positional relationships of the components of this disclosure in the accompanying drawings. The singular forms "a," "an," and "the" used in this disclosure are also intended to include the plural forms, unless the context clearly indicates otherwise. Moreover, unless otherwise defined, all technical and scientific terms used in this embodiment have the same meaning as commonly understood by one of ordinary skill in the art. The terminology used in this embodiment specification is only for describing particular embodiments and is not intended to limit the invention. The term "and / or" as used in this embodiment includes any combination of one or more of the associated listed items.

[0055] It should be understood that although the terms first, second, third, etc., may be used to describe various elements in this disclosure, these elements should not be limited to these terms. These terms are only used to distinguish elements of the same type from each other. For example, a first element may also be referred to as a second element without departing from the scope of this disclosure, and similarly, a second element may also be referred to as a first element. The use of any and all instances or exemplary language (“e.g.,” “such as,” etc.) provided in this embodiment is intended only to better illustrate embodiments of the invention and, unless otherwise required, does not impose a limitation on the scope of the invention.

[0056] It should be recognized that embodiments of the present invention can be implemented or carried out by computer hardware, a combination of hardware and software, or by computer instructions stored in a non-transitory computer-readable storage medium. The method can be implemented using standard programming techniques—including a non-transitory computer-readable storage medium configured with a computer program, wherein such a storage medium causes the computer to operate in a specific and predefined manner—according to the methods and drawings described in the specific embodiments. Each program can be implemented in a high-level procedural or object-oriented programming language to communicate with the computer system. However, if desired, the program can be implemented in assembly or machine language. In any case, the language can be a compiled or interpreted language. Furthermore, for this purpose, the program can run on a programmed application-specific integrated circuit (ASIC).

[0057] Furthermore, the procedures described in this embodiment can be performed in any suitable order unless otherwise indicated by this embodiment or clearly contradicted by the context. The procedures (or variations and / or combinations thereof) described in this embodiment can be executed under the control of one or more computer systems configured with executable instructions, and can be implemented by hardware or a combination thereof as code (e.g., executable instructions, one or more computer programs, or one or more applications) that commonly executes on one or more processors. A computer program includes multiple instructions executable by one or more processors.

[0058] Furthermore, the method can be implemented in any suitable type of computing platform, including but not limited to personal computers, minicomputers, mainframes, workstations, networked or distributed computing environments, standalone or integrated computer platforms, or in communication with charged particle tools or other imaging devices, etc. Aspects of the invention can be implemented as machine-readable code stored on a non-transitory storage medium or device, whether removable or integrated into a computing platform, such as a hard disk, optical read and / or write storage medium, RAM, ROM, etc., such that it is readable by a programmable computer, and when the storage medium or device is read by the computer, it can be used to configure and operate the computer to perform the processes described herein. Furthermore, the machine-readable code, or portions thereof, can be transmitted via wired or wireless networks. The invention of this embodiment includes these and other different types of non-transitory computer-readable storage media when such media comprises instructions or programs that implement the steps above in conjunction with a microprocessor or other data processor. When programmed according to the methods and techniques of the invention, the invention also includes the computer itself.

[0059] A computer program can be applied to input data to perform the functions of this embodiment, thereby transforming the input data to generate output data stored in non-volatile memory. The output information can also be applied to one or more output devices, such as a display. In a preferred embodiment of the invention, the transformed data represents physical and tangible objects, including specific visual depictions of physical and tangible objects generated on the display.

[0060] The above are merely preferred embodiments of the present invention. The present invention is not limited to the above-described embodiments. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention, as long as they achieve the technical effects of the present invention by the same means, should be included within the scope of protection of the present invention. Within the scope of protection of the present invention, the technical solutions and / or implementation methods can have various modifications and variations.

Claims

1. A car seat system, characterized in that, The vehicle seat system includes: Seats; Multiple pressure sensing units; each of the pressure sensing units is distributed and disposed on the seat cushion component and backrest component of the seat, and the pressure sensing units are used to detect and obtain pressure data; Control unit; the control unit is used to receive the pressure data detected by each of the pressure sensing units and to perform a health assessment based on the pressure data.

2. The automotive seat system according to claim 1, characterized in that: The car seat system also includes an identity detection unit; the identity detection unit is used to detect the identity of the person sitting in the seat and obtain identity information. The health assessment based on the aforementioned stress data includes: Obtain the position information of each pressure sensing unit; Using the location information as an index, the pressure data detected at the first moment are mapped into a first data matrix; Based on the identity information, multiple reference data matrices are invoked; each of the reference data matrices is obtained by mapping pressure data detected by a pressure sensing unit of a subject corresponding to the identity information in a specific sitting posture. Determine a reference data matrix that matches the first data matrix; Based on the determined baseline data matrix, the first health status information is determined.

3. The automotive seat system according to claim 1, characterized in that: The car seat unit also includes multiple temperature control units; each of the temperature control units is distributed in the seat cushion component and backrest component of the seat, and the temperature control unit is used for controlled heating or cooling. Control unit; the control unit is used to control each of the temperature control units according to the pressure data.

4. The automotive seat system according to claim 3, characterized in that, The control of each temperature regulating unit based on the pressure data includes: Obtain the position information of each pressure sensing unit; Using the location information as an index, the pressure data detected at the second time point are mapped into a second data matrix, and the pressure data detected at the third time point are mapped into a third data matrix; the third time point is after the second time point. The temperature control units are controlled according to the second data matrix and the third data matrix.

5. The automotive seat system according to claim 4, characterized in that, The step of controlling each of the temperature control units according to the second data matrix and the third data matrix includes: The third data matrix is ​​compared with the second data matrix to determine the heating mode or the cooling mode; When the heating mode is determined, the temperature control unit is controlled to perform heating. When the cooling mode is determined, the temperature control unit is controlled to perform cooling.

6. The automotive seat system according to claim 5, characterized in that, The step of comparing the third data matrix with the second data matrix to determine the heating mode or cooling mode includes: The extreme value elements of the second data matrix are detected to obtain the location information of the second extreme value; The extreme value elements of the third data matrix are detected to obtain the position information of the third extreme value; the extreme value elements represent the elements belonging to the extreme values. Obtain the overlap between the second extreme value location information and the third extreme value location information; When the overlap is greater than a threshold, the heating mode is determined; otherwise, the cooling mode is determined.

7. The automotive seat system according to any one of claims 3-6, characterized in that: The control unit is used to invoke each of the pressure sensing units to perform health assessments based on the control of each of the temperature control units.

8. The automotive seat system according to claim 7, characterized in that, The step of invoking each of the pressure sensing units to perform a health assessment based on the control of each of the temperature control units includes: Set the target temperature-time curve; During the first time period, each of the temperature control units is controlled to perform temperature adjustment according to the target temperature time curve; During the first time period, the pressure-time curve is detected by the pressure sensing unit synchronously with each of the temperature control units. The second health status information is determined based on the target temperature-time curve and the pressure-time curve.

9. The automotive seat system according to claim 8, characterized in that, The step of determining the second health status information based on the target temperature-time curve and the pressure-time curve includes: Obtain the cross-correlation function between the target temperature-time curve and the pressure-time curve; Determine the duration information when the cross-correlation function reaches its maximum value; The second health status information is determined based on the duration information.

10. An automobile product, characterized in that, The automotive product includes the automotive seat system as described in any one of claims 1-9.

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