Intelligent seat, control method and device and medium

Abstract

The embodiment of the invention discloses an intelligent seat, a control method and device and a medium, the intelligent seat comprises a data processing module, a first control module and a data acquisition module, the data processing module is connected with the data acquisition module and the first control module, the data acquisition module comprises at least two braided fabric resistance type pressure sensors, and the braided fabric resistance type pressure sensors are connected with the first control module. The at least two braided fabric resistance type pressure sensors are arranged on the intelligent seat, and each braided fabric resistance type pressure sensor is formed by interweaving at least two pressure sensing yarns; under the condition that a user is located on the intelligent seat, the braided fabric resistance type pressure sensor under pressure transmits output impedance between at least two pressure sensing yarns to the data processing module; the data processing module is used for identifying output impedance, obtaining parameter information of a user and transmitting the parameter information to the first control module; the parameter information comprises a shape and / or a sitting posture; the first control module is used for adjusting the shape of the intelligent seat according to the parameter information.

Description

Technical Field

[0001] The present disclosure relates to the technical field of intelligent electric seats, and more specifically, to an intelligent seat, a control method, a device and a medium. Background Art

[0002] At present, smart car technology is developing rapidly, and various devices in cars are becoming more and more intelligent, such as smart seats with adjustment functions. Usually, due to different sitting postures or heights and weights of each person, the shape of the seat that suits each person is often inconsistent, which leads to different experiences of each person on the smart seat. Summary of the invention

[0003] One purpose of the embodiments of the present disclosure is to provide a new technical solution for a smart seat.

[0004] According to a first aspect of the present disclosure, there is provided a smart seat, comprising: a data processing module, a first control module and a data acquisition module, wherein the data processing module is connected to the data acquisition module and the first control module respectively.

[0005] The data acquisition module includes at least two woven fabric resistance type pressure sensors, and the at least two woven fabric resistance type pressure sensors are arranged on the smart seat, and the woven fabric resistance type pressure sensor is formed by interweaving at least two pressure sensing yarns;

[0006] Wherein, when the user is located in the smart chair, the woven fabric resistance type pressure sensor subjected to pressure transmits the output impedance between the at least two pressure sensing yarns to the data processing module;

[0007] The data processing module is used to identify the output impedance, obtain parameter information of the user, and transmit the parameter information to the first control module; wherein the parameter information includes shape and / or sitting posture;

[0008] The first control module is used to adjust the shape of the smart seat according to the parameter information.

[0009] Optionally, the smart seat further comprises a target component, the target component comprising at least one of a footrest, a waist support, a headrest and a backrest, and the target component is connected to the first control module.

[0010] The first control module is used to adjust the shape of the smart seat according to the parameter information, specifically including:

[0011] The angle of the target component is adjusted according to the parameter information to achieve adjustment of the shape of the smart seat.

[0012] Optionally, the smart chair further includes a second control module and a massage module, wherein the second control module is connected to the data processing module and the massage module respectively.

[0013] The data processing module is further used to transmit the parameter information to the second control module;

[0014] The second control module is used to adjust the position of the massage module according to the parameter information.

[0015] Optionally, the smart chair further includes a third control module, and the third control module is connected to the data processing module and the data acquisition module respectively.

[0016] When the user is located in the smart chair, the woven fabric resistance type pressure sensor under pressure transmits the output impedance between the at least two pressure sensing yarns to the data processing module, specifically including:

[0017] When a user is seated in the smart chair, the woven fabric resistance type pressure sensor subjected to pressure transmits the output impedance between the at least two pressure sensing yarns to the third control module;

[0018] The third control module converts the output impedance into an electrical signal, and transmits the electrical signal to the data processing module.

[0019] Optionally, the data processing module is used to identify the output impedance and obtain parameter information of the user, specifically including:

[0020] The electrical signal is identified to obtain the parameter information.

[0021] According to a second aspect of the present disclosure, a control method is further provided, which is applied to the smart chair described in the first aspect above, wherein the smart chair comprises at least two woven fabric resistance type pressure sensors, wherein the woven fabric resistance type pressure sensors are formed by interweaving at least two pressure sensing yarns, and the method comprises:

[0022] When a user is located in the smart chair, obtaining an output impedance between the at least two pressure sensing yarns in the woven fabric resistance type pressure sensor under pressure;

[0023] Identify the output impedance and obtain parameter information of the user; wherein the parameter information includes shape and / or sitting posture;

[0024] The shape of the smart seat is adjusted according to the parameter information.

[0025] Optionally, the smart seat further includes a massage module, and the method further includes:

[0026] The position of the massage module of the smart seat is adjusted according to the parameter information.

[0027] According to a third aspect of the present disclosure, a control device is further provided, which is applied to the smart chair described in the first aspect above, wherein the smart chair comprises at least two woven fabric resistance type pressure sensors, wherein the woven fabric resistance type pressure sensors are formed by interweaving at least two pressure sensing yarns, and the device comprises:

[0028] an acquisition module, for acquiring, when a user is located in the smart seat, an output impedance between the at least two pressure sensing yarns in the woven fabric resistance type pressure sensor under pressure;

[0029] An identification module, used to identify the output impedance and obtain parameter information of the user; wherein the parameter information includes shape and / or sitting posture;

[0030] An adjustment module is used to adjust the shape of the smart seat according to the parameter information.

[0031] According to a fourth aspect of the present disclosure, there is also provided a smart seat, which includes: a memory for storing executable computer instructions; and a processor for executing the control method according to the above second aspect under the control of the executable computer instructions.

[0032] According to a fifth aspect of the present disclosure, a readable storage medium is also provided, on which a program or instruction is stored. When the program or instruction is executed by a processor, the steps of the control method described in the second aspect above are implemented.

[0033] According to an embodiment of the present disclosure, a smart seat is provided, which includes a data processing module, a first control module and a data acquisition module. The data processing module is connected to the data acquisition module and the first control module respectively. The data acquisition module includes at least two woven fabric resistance type pressure sensors, and the woven fabric resistance type pressure sensor is formed by interweaving at least two pressure sensing yarns. Since the woven fabric resistance type pressure sensors are arranged on the smart seat, and each person's sitting posture and / or shape is different, the pressure position of the smart seat will be different. The woven fabric resistance type pressure sensor detects the pressure position, and the data processing module identifies the pressure position to obtain the user's shape and / or sitting posture, and then the first control module adjusts the shape of the smart seat according to the user's shape and / or sitting posture, so as to realize automatic adjustment of the smart seat. In other words, the smart seat can sense the user's shape and / or sitting posture through the woven fabric resistance type pressure sensor, and automatically adjust the shape of the smart seat to the most suitable shape for each person, thereby improving the user's experience in the smart seat. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments of the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0035] Figure 1 is one of the principle block diagrams of the smart chair according to an embodiment of the present disclosure;

[0036] Figure 2 is a schematic diagram of pressure sensing yarn winding according to an embodiment of the present disclosure;

[0037] Figure 3a to Figure 3c is a schematic diagram of two pressure sensing yarns in different forms according to an embodiment of the present disclosure;

[0038] Figure 4 This is the second principle block diagram of the smart chair according to the embodiment of the present disclosure;

[0039] Figure 5 This is the third principle block diagram of the smart chair according to the embodiment of the present disclosure;

[0040] Figure 6 is a flow chart of a control method according to an embodiment of the present disclosure;

[0041] Figure 7 is a principle block diagram of a control device according to an embodiment of the present disclosure;

[0042] Figure 8 It is a principle block diagram of a smart chair according to another embodiment of the present disclosure. DETAILED DESCRIPTION

[0043] Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. It should be noted that the relative arrangement of components and steps, numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present disclosure unless otherwise specifically stated.

[0044] The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the present disclosure, its application, or uses.

[0045] Technologies, methods, and equipment known to ordinary technicians in the relevant art may not be discussed in detail, but where appropriate, the technologies, methods, and equipment should be considered as part of the specification.

[0046] In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not limiting. Therefore, other examples of the exemplary embodiments may have different values.

[0047] It should be noted that like reference numerals and letters refer to similar items in the following figures, and therefore, once an item is defined in one figure, it need not be further discussed in subsequent figures.

[0048] <Smart Seat Example 1>

[0049] Please see Figure 1 , which is a principle block diagram of a smart seat 1 provided by an embodiment of the present disclosure. The smart seat 1 can generally be applied to smart cars. Figure 1 As shown, the smart chair 1 includes a data processing module 11, a first control module 12 and a data acquisition module 13, and the data processing module 11 is connected to the data acquisition module 13 and the first control module 12 respectively.

[0050] The data acquisition module 13 includes at least two woven fabric resistance type pressure sensors 131, and the at least two woven fabric resistance type pressure sensors 131 are arranged on the smart chair 1, and the woven fabric resistance type pressure sensor 131 is formed by at least two pressure sensing yarns interwoven with each other.

[0051] It should be noted that each braided resistance type pressure sensor 131 may include two or more pressure sensing yarns, and the two or more pressure sensing yarns may be interwoven with each other by being entangled with each other or in other ways. Figure 2 The woven fabric resistance type pressure sensor 131 comprises two pressure sensing yarns, which are intertwined with each other, one serving as a positive electrode and the other serving as a negative electrode.

[0052] The properties of the pressure sensing yarn, such as type, length, fineness, and content, can be set according to actual needs. For example, the type of the pressure sensing yarn can be carbon nanotube fiber yarn or other types of yarns with pressure sensing functions, which is not limited in this embodiment. The winding density of two or more pressure sensing yarns in the pressure sensing yarn can also be set according to actual needs, which is not limited in this embodiment.

[0053] Generally, the pressure sensing yarn has a pressure sensing function. When pressed, each pressure sensing yarn will be physically deformed when subjected to external force, and the output resistance between the pressure sensing yarns will change from megaohm level to several hundred ohms. Moreover, the output impedance is inversely proportional to the pressure, that is, the greater the pressure, the smaller the output impedance between at least two pressure sensing yarns in the braided fabric resistance type pressure sensor 131, and the smaller the pressure, the greater the output impedance between at least two pressure sensing yarns in the braided fabric resistance type pressure sensor 131.

[0054] Next, combine Figure 3a to Figure 3cThe braided fabric resistance type pressure sensor 131 is described as follows: if the braided fabric resistance type pressure sensor 131 is formed by interweaving two pressure sensing yarns, for example, pressure sensing yarn a and pressure sensing yarn b. Figure 3a When the braided fabric resistance type pressure sensor 131 is not pressed, the output impedance between the pressure sensing yarn a and the pressure sensing yarn b is greater than Figure 3b The output impedance between the pressure sensing yarn a and the pressure sensing yarn b when the knitted fabric resistance type pressure sensor 131 is lightly pressed is shown. Figure 3b When the braided fabric resistance type pressure sensor 131 is lightly pressed, the output impedance between the pressure sensing yarn a and the pressure sensing yarn b is greater than Figure 3c The output impedance between the pressure sensing yarn a and the pressure sensing yarn b when the knitted fabric resistance type pressure sensor 131 is subjected to heavy pressure is shown.

[0055] The first control module 12 can be understood as a smart seat shape control module, which is used to control the shape of the smart seat 1. Specifically, the first control module 12 can adjust the angle of the target component of the smart seat 1 to adjust the shape of the smart seat 1, wherein the target component includes at least one of a footrest, a lumbar support, a headrest and a backrest.

[0056] In this embodiment, when the user is sitting on the smart chair 1, the woven fabric resistance pressure sensor 131 under pressure transmits the output impedance between the at least two pressure sensing yarns to the data processing module 11; the data processing module 11 is used to identify the output impedance, obtain the user's parameter information, and transmit the parameter information to the first control module 12; wherein the parameter information includes shape and / or sitting posture; the first control module 12 is used to adjust the shape of the smart chair 1 according to the parameter information.

[0057] The shape of the user includes, for example but not limited to, the height of the user and the weight of the user.

[0058] The user's sitting posture can be understood as the position and posture of the user sitting on the smart chair 1.

[0059] Specifically, when the smart chair 1 further includes a target component (not shown in the figure), and the target component includes at least one of a footrest, a waist support, a headrest, and a backrest, the target component is connected to the first control module 12. The first control module 12 is used to adjust the shape of the smart chair 1 according to the parameter information, specifically including: adjusting the angle of the target component according to the parameter information to achieve the adjustment of the shape of the smart chair 1.

[0060] Exemplarily, the woven fabric resistance type pressure sensor 131 is wired on the smart chair 1, for example, the seat cushion, waist support, headrest and backrest of the smart chair 1. When the user uses the smart chair 1, the pressure position of the smart chair 1 is different due to the different shapes and sitting postures of each person, and the output impedance between at least two pressure sensing yarns in the woven fabric resistance type pressure sensor 131 at the pressure position will change. The woven fabric resistance type pressure sensor 131 under pressure transmits the output impedance between at least two internal pressure sensing yarns to the data processing module 11. The data processing module 11 identifies the output impedance to obtain the shape and sitting posture of the user, and transmits the shape and sitting posture of the user to the first control module 12. The first control module 12 adjusts the angles of the footrest, waist support, headrest and backrest of the smart chair 1 according to the shape and sitting posture of the user, so that the shape of the smart chair 1 is suitable for the shape and sitting posture of the user.

[0061] According to an embodiment of the present disclosure, a smart seat is provided, which includes a data processing module, a first control module and a data acquisition module. The data processing module is connected to the data acquisition module and the first control module respectively. The data acquisition module includes at least two woven fabric resistance type pressure sensors, and the woven fabric resistance type pressure sensor is formed by interweaving at least two pressure sensing yarns. Since the woven fabric resistance type pressure sensors are arranged on the smart seat, and each person's sitting posture and / or shape is different, the pressure position of the smart seat will be different. The woven fabric resistance type pressure sensor detects the pressure position, and the data processing module identifies the pressure position to obtain the user's shape and / or sitting posture, and then the first control module adjusts the shape of the smart seat according to the user's shape and / or sitting posture, so as to realize automatic adjustment of the smart seat. In other words, the smart seat can sense the user's shape and / or sitting posture through the woven fabric resistance type pressure sensor, and automatically adjust the shape of the smart seat to the most suitable shape for each person, thereby improving the user's experience in the smart seat.

[0062] In one embodiment, referring to Figure 4 The smart chair 1 also includes a second control module 14 and a massage module (not shown in the figure), and the second control module 14 is connected to the data processing module 11 and the massage module respectively.

[0063] In this embodiment, the data processing module 11 is further used to transmit the parameter information to the second control module 14; the second control module 14 is used to adjust the position of the massage module according to the parameter information.

[0064] The above-mentioned second control module 14 can be understood as an intelligent seat massager control module, which is used to control the position of the massage module of the intelligent seat 1. According to the shape of the intelligent seat 1, the position of the massage module can be adjusted so that the body parts massaged by each person are the same.

[0065] In the related art, due to the different sitting postures or heights and weights of each person, the massage module of the smart seat may massage the same body parts of the person at the same massage position, which may also cause the user's experience on the smart seat to be different. In this embodiment, the woven fabric resistance type pressure sensor 131 is wired on the smart seat 1. When the user uses the smart seat 1, due to the different shapes and sitting postures of each person, the pressure position of the smart seat 1 is different, and the output impedance of at least two pressure sensing yarns in the woven fabric resistance type pressure sensor 131 at the pressure position will change. The woven fabric resistance type pressure sensor 131 under pressure transmits the output impedance between at least two internal pressure sensing yarns to the data processing module 11. The data processing module 11 identifies the output impedance to obtain the shape and sitting posture of the user, and transmits the shape and sitting posture of the user to the second control module 14. The second control module 14 adjusts the position of the massage module according to the shape and sitting posture of the user, so that the massage module can massage the user's lumbar spine, back, shoulder blade, etc., so that the user can get a better massage experience.

[0066] According to this embodiment, since the woven fabric resistance type pressure sensor is arranged on the smart seat, and each person's sitting posture and / or shape is different, the pressure position of the smart seat will be different. The woven fabric resistance type pressure sensor detects the pressure position, and the data processing module identifies the pressure position to obtain the user's shape and / or sitting posture, and then the second control module adjusts the position of the massage module according to the user's shape and / or sitting posture, so as to realize the automatic adjustment of the smart seat. In other words, the smart seat can sense the user's shape and / or sitting posture through the woven fabric resistance type pressure sensor, and automatically adjust the position of the massage module to the most suitable position for each person, thereby improving the user's experience in the smart seat.

[0067] In one embodiment, referring to Figure 5 The smart chair 1 also includes a third control module 15, and the third control module 15 is connected to the data processing module 11 and the data acquisition module 13 respectively.

[0068] Typically, when the user is located on the smart chair 1, the woven fabric resistance type pressure sensor 131 under pressure transmits the output impedance between the at least two pressure sensing yarns to the data processing module 11, specifically including: when the user is located on the smart chair 1, the woven fabric resistance type pressure sensor 131 under pressure transmits the output impedance between the at least two pressure sensing yarns to the third control module 15; the third control module 15 converts the output impedance into an electrical signal, and transmits the electrical signal to the data processing module 11.

[0069] Typically, the data processing module 11 is used to identify the output impedance and obtain the parameter information of the user, which specifically includes: identifying the electrical signal to obtain the parameter information.

[0070] Exemplarily, the woven fabric resistance type pressure sensor 131 is wired on the smart chair 1. When the user uses the smart chair 1, the pressure position of the smart chair 1 is different due to the different shapes and sitting postures of each person, and the output impedance between at least two pressure sensing yarns in the woven fabric resistance type pressure sensor at the pressure position will change. The woven fabric resistance type pressure sensor 131 under pressure transmits the output impedance of at least two internal pressure sensing yarns to the third control module 15. The third control module 15 converts the output impedance into an electrical signal and transmits the electrical signal to the data processing module 11. The data processing module 11 identifies the electrical signal to obtain the user's shape and sitting posture, and transmits the user's shape and sitting posture to the first control module 12 and the second control module 14 at the same time. The first control module 12 adjusts the angles of the footrest, waist support, headrest and backrest of the smart chair 1 according to the user's shape and sitting posture, so that the shape of the smart chair 1 is suitable for the user's shape and sitting posture. The second control module 14 adjusts the position of the massage module according to the user's shape and sitting posture, so that the massage module can massage the user's lumbar spine, back, shoulder blades, etc., and the user can get a better massage experience.

[0071] According to this embodiment, a woven fabric resistance type pressure sensor is arranged on the smart seat. The different sitting postures and / or heights, sizes and shapes of each person result in different pressure positions on the smart seat. The woven fabric resistance type pressure sensor detects the pressure position and transmits it to the data processing module for processing through the corresponding third control module, and then adjusts the shape of the smart seat and the position of the massage module, thereby realizing automatic adjustment of the smart seat.

[0072] <Method Example>

[0073] See also Figure 6, which is a flow chart of a control method provided in an embodiment of the present application. The method can be applied to the smart seat of any of the above embodiments, wherein the smart seat includes at least two woven fabric resistance type pressure sensors, and the woven fabric resistance type pressure sensors are formed by interweaving at least two pressure sensing yarns.

[0074] like Figure 6 As shown, the control method may include steps S6100 to S6300, which are described in detail below.

[0075] Step S6100, when the user is located in the smart chair, obtaining the output impedance between the at least two pressure sensing yarns in the woven fabric resistance pressure sensor that is subjected to pressure.

[0076] Step S6200, identifying the output impedance and obtaining parameter information of the user.

[0077] The parameter information includes shape and / or sitting posture.

[0078] Step S6300: adjusting the shape of the smart seat according to the parameter information.

[0079] According to this embodiment, since the woven fabric resistance type pressure sensor is arranged on the smart seat, and each person's sitting posture and / or shape is different, the pressure position of the smart seat will be different. The woven fabric resistance type pressure sensor detects the pressure position, and the smart seat will identify the pressure position to obtain the user's shape and / or sitting posture, and adjust the shape of the smart seat according to the user's shape and / or sitting posture, so as to achieve automatic adjustment of the smart seat. In other words, the smart seat can sense the user's shape and / or sitting posture through the woven fabric resistance type pressure sensor, and automatically adjust the shape of the smart seat to the most suitable shape for each person, thereby improving the user's experience in the smart seat.

[0080] In one embodiment, the smart chair further includes a massage module, and the method further includes: adjusting the position of the massage module according to the parameter information.

[0081] According to this embodiment, since the woven fabric resistance type pressure sensor is arranged on the smart seat, and each person's sitting posture and / or shape is different, the pressure position of the smart seat will be different. The woven fabric resistance type pressure sensor detects the pressure position, and the smart seat will identify the pressure position to obtain the user's shape and / or sitting posture, and adjust the position of the massage module according to the user's shape and / or sitting posture, so as to achieve automatic adjustment of the smart seat. In other words, the smart seat can sense the user's shape and / or sitting posture through the woven fabric resistance type pressure sensor, and automatically adjust the position of the massage module to the most suitable position for each person, thereby improving the user's experience in the smart seat.

[0082] <Device Example>

[0083] Figure 7 : is a schematic diagram of the structure of a control device according to an embodiment, the control device can be applied to the smart seat of any of the above embodiments, the smart seat comprises at least two woven fabric resistance type pressure sensors, the woven fabric resistance type pressure sensors are formed by interweaving at least two pressure sensing yarns. Figure 7 As shown, the control device 700 includes an acquisition module 710 , an identification module 720 and an adjustment module 730 .

[0084] An acquisition module 710, configured to acquire, when a user is located in the smart chair, an output impedance between the at least two pressure sensing yarns in the woven fabric resistance type pressure sensor under pressure;

[0085] The identification module 720 is used to identify the output impedance and obtain the parameter information of the user; wherein the parameter information includes the shape and sitting posture;

[0086] The adjustment module 730 is used to adjust the shape of the smart seat according to the parameter information.

[0087] According to this embodiment, since the woven fabric resistance type pressure sensor is arranged on the smart seat, and each person's sitting posture and / or shape is different, the pressure position of the smart seat will be different. The woven fabric resistance type pressure sensor detects the pressure position, and the smart seat will identify the pressure position to obtain the user's shape and / or sitting posture, and adjust the shape of the smart seat according to the user's shape and / or sitting posture, so as to achieve automatic adjustment of the smart seat. In other words, the smart seat can sense the user's shape and / or sitting posture through the woven fabric resistance type pressure sensor, and automatically adjust the shape of the smart seat to the most suitable shape for each person, thereby improving the user's experience in the smart seat.

[0088] <Intelligent Seat Embodiment 2>

[0089] Figure 8 FIG. 1 is a schematic diagram of the hardware structure of a smart chair according to an embodiment. Figure 8 As shown, the smart chair 800 includes a processor 810 and a memory 820 .

[0090] The memory 820 may be used to store executable computer instructions.

[0091] The processor 810 can be used to execute the control method described in the embodiment of the method of the present disclosure according to the control of the executable computer instructions.

[0092] The smart chair 800 may be Figure 1The smart chair 1 shown may also be a device with other hardware structures, which is not limited here.

[0093] In another embodiment, the smart chair 800 may include the above control device 700 .

[0094] In one embodiment, each module of the above control device 700 can be implemented by the processor 810 running computer instructions stored in the memory 820 .

[0095] <Computer Readable Storage Medium>

[0096] The embodiment of the present disclosure further provides a computer-readable storage medium on which computer instructions are stored. When the computer instructions are executed by a processor, the control method provided by the embodiment of the present disclosure is executed.

[0097] The present disclosure may be a system, a method and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for causing a processor to implement various aspects of the present disclosure.

[0098] A computer-readable storage medium may be a tangible device that can hold and store instructions used by an instruction execution device. A computer-readable storage medium may be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples of computer-readable storage media (a non-exhaustive list) include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as a punch card or a raised structure in a groove on which instructions are stored, and any suitable combination of the foregoing. As used herein, a computer-readable storage medium is not to be interpreted as a transient signal per se, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., a light pulse through a fiber optic cable), or an electrical signal transmitted through a wire.

[0099] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to each computing / processing device, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, optical fiber transmissions, wireless transmissions, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in the computer-readable storage medium in each computing / processing device.

[0100] The computer program instructions for performing the operation of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages, such as Smalltalk, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. Computer-readable program instructions may be executed completely on a user's computer, partially on a user's computer, as an independent software package, partially on a user's computer, partially on a remote computer, or completely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., using an Internet service provider to connect via the Internet). In some embodiments, an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), may be customized by utilizing the state information of the computer-readable program instructions, and the electronic circuit may execute the computer-readable program instructions, thereby realizing various aspects of the present disclosure.

[0101] Various aspects of the present disclosure are described herein with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present disclosure. It should be understood that each box in the flowchart and / or block diagram and the combination of each box in the flowchart and / or block diagram can be implemented by computer-readable program instructions.

[0102] These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, thereby producing a machine, so that when these instructions are executed by the processor of the computer or other programmable data processing device, a device that implements the functions / actions specified in one or more boxes in the flowchart and / or block diagram is generated. These computer-readable program instructions can also be stored in a computer-readable storage medium, and these instructions cause the computer, programmable data processing device, and / or other equipment to work in a specific manner, so that the computer-readable medium storing the instructions includes a manufactured product, which includes instructions for implementing various aspects of the functions / actions specified in one or more boxes in the flowchart and / or block diagram.

[0103] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device so that a series of operating steps are performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby causing the instructions executed on the computer, other programmable data processing apparatus, or other device to implement the functions / actions specified in one or more boxes in the flowchart and / or block diagram.

[0104] The flowcharts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the systems, methods and computer program products according to multiple embodiments of the present disclosure. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of an instruction, and the module, a program segment or a part of an instruction contains one or more executable instructions for realizing the specified logical function. In some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or the flowchart, and the combination of the boxes in the block diagram and / or the flowchart can be implemented by a dedicated hardware-based system that performs the specified function or action, or can be implemented by a combination of dedicated hardware and computer instructions. It is well known to those skilled in the art that it is equivalent to implement it by hardware, implement it by software, and implement it by combining software and hardware.

[0105] The embodiments of the present disclosure have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and changes will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The choice of terms used herein is intended to best explain the principles of the embodiments, practical applications, or technical improvements in the marketplace, or to enable other persons of ordinary skill in the art to understand the embodiments disclosed herein. The scope of the present disclosure is defined by the appended claims.

Claims

1. A smart seat, characterized in that: include: A data processing module, a first control module and a data acquisition module, wherein the data processing module is connected to the data acquisition module and the first control module respectively. The data acquisition module includes at least two woven fabric resistance type pressure sensors, and the at least two woven fabric resistance type pressure sensors are arranged on the smart seat, and the woven fabric resistance type pressure sensor is formed by interweaving at least two pressure sensing yarns; Wherein, when the user is located in the smart chair, the woven fabric resistance type pressure sensor subjected to pressure transmits the output impedance between the at least two pressure sensing yarns to the data processing module; The data processing module is used to identify the output impedance, obtain parameter information of the user, and transmit the parameter information to the first control module; wherein the parameter information includes shape and / or sitting posture; The first control module is used to adjust the shape of the smart seat according to the parameter information.

2. The smart chair according to claim 1, characterized in that: The smart seat further includes a target component, the target component including at least one of a footrest, a waist support, a headrest and a backrest, and the target component is connected to the first control module. The first control module is used to adjust the shape of the smart seat according to the parameter information, specifically including: The angle of the target component is adjusted according to the parameter information to achieve adjustment of the shape of the smart seat.

3. The smart chair according to claim 1, characterized in that: The smart chair further includes a second control module and a massage module, wherein the second control module is connected to the data processing module and the massage module respectively. The data processing module is further used to transmit the parameter information to the second control module; The second control module is used to adjust the position of the massage module according to the parameter information.

4. The smart chair according to claim 3, characterized in that: The smart chair further includes a third control module, which is connected to the data processing module and the data acquisition module respectively. When the user is located in the smart chair, the woven fabric resistance type pressure sensor under pressure transmits the output impedance between the at least two pressure sensing yarns to the data processing module, specifically including: When a user is seated in the smart chair, the woven fabric resistance type pressure sensor subjected to pressure transmits the output impedance between the at least two pressure sensing yarns to the third control module; The third control module converts the output impedance into an electrical signal, and transmits the electrical signal to the data processing module.

5. The smart chair according to claim 4, characterized in that: The data processing module is used to identify the output impedance and obtain the user's parameter information, specifically including: The electrical signal is identified to obtain the parameter information.

6. A control method, characterized in that: The smart chair according to any one of claims 1 to 5, wherein the smart chair comprises at least two woven fabric resistance type pressure sensors, wherein the woven fabric resistance type pressure sensors are formed by interweaving at least two pressure sensing yarns, and the method comprises: When a user is located in the smart chair, obtaining an output impedance between the at least two pressure sensing yarns in the woven fabric resistance type pressure sensor under pressure; Identify the output impedance and obtain parameter information of the user; wherein the parameter information includes shape and / or sitting posture; The shape of the smart seat is adjusted according to the parameter information.

7. The method according to claim 6, characterized in that The smart seat further includes a massage module, and the method further includes: The position of the massage module is adjusted according to the parameter information.

8. A control device, characterized in that: The smart chair according to any one of claims 1 to 5, comprising at least two woven fabric resistance type pressure sensors, wherein the woven fabric resistance type pressure sensors are formed by interweaving at least two pressure sensing yarns, and the device comprises: an acquisition module, for acquiring, when a user is located in the smart seat, an output impedance between the at least two pressure sensing yarns in the woven fabric resistance type pressure sensor under pressure; An identification module, used to identify the output impedance and obtain parameter information of the user; wherein the parameter information includes shape and / or sitting posture; An adjustment module is used to adjust the shape of the smart seat according to the parameter information.

9. A smart seat, characterized in that: include: Memory for storing executable computer instructions; A processor, configured to execute the control method according to claim 6 or 7 under the control of the executable computer instructions.

10. A readable storage medium, characterized in that: The readable storage medium stores a program or instruction, and when the program or instruction is executed by the processor, the steps of the control method according to claim 6 or 7 are implemented.

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