Intelligent chair intelligent control method and intelligent chair intelligent control system

Abstract

The present invention belongs to the technical field of smart tables and chairs, and in particular, relates to a smart chair intelligent control method and system, wherein the method obtains armrest touch authentication information within a preset detection area of ​​the smart chair, and then determines whether the current user has the right to use the armrest according to the armrest touch authentication information. If the determination is no, a reminder that the chair cannot be used is generated; if the determination is yes, a seat reset instruction is generated, and the smart chair is controlled to reset to a preset use state based on the seat reset instruction, and then, the seat force information of the seat of the smart chair at each preset force collection moment is continuously obtained, wherein one preset force collection moment corresponds to one seat force information; then, according to each seat force information, it is determined whether the seat has local bias force within a preset time period; finally, if the determination is yes, a sitting posture correction reminder is generated. The present invention realizes true sitting posture correction, greatly meets the user's usage needs, and has extremely high practicality.

Description

Technical Field

[0001] The present invention belongs to the technical field of smart tables and chairs, and in particular relates to a smart chair smart control method and a smart chair smart control system. Background Art

[0002] Chairs are indispensable necessities for office workers and school children. Especially for office workers, they need to sit on chairs for 8 hours or more every day due to work requirements. Long-term sitting and standing are prone to back pain. The main reason why office workers are prone to back pain is that they sit for too long and have a wrong sitting posture. Sitting for a long time and having a wrong sitting posture make the whole body weight press on the lumbar sacral area or make the whole body weight distributed on one side or the other. The uneven pressure distribution will cause sagging or pain in the waist, abdomen, and back muscles.

[0003] With the development of chairs and the demand for intelligent chairs, smart chairs have appeared on the market. However, most of the smart chairs on the market are just publicity gimmicks. At most, they only have massage functions or are more comfortable to sit on. For example, the utility model patent with application number CN201920973897.4 discloses a smart chair with a sitting posture correction function, which relates to the field of chair technology, including a bracket, a seat, a chair back, a support plate, an armrest and a cushion. The cushion is provided with a cavity, a first spherical cavity, a spherical block, a connecting strip and a second spherical cavity. The interior of the chair back is provided with a movable cavity, a connecting block, a connecting roller, a massage sheet, a servo electric cylinder and a moving block. The cross-section of the moving block is a trapezoidal structure, and a plurality of springs are provided on the outer wall of the connecting block away from the connecting roller.

[0004] Although the name of this technical solution includes the sitting posture correction function, it can only achieve the massage function through the structure and does not really have the effect of sitting posture correction. Other smart chairs on the market also have similar disadvantages, that is, they are unable to correct the user's sitting posture well, which in turn affects the use.

[0005] Therefore, it is necessary to design a smart chair intelligent control method and a smart chair intelligent control system. Summary of the invention

[0006] The purpose of the present invention is to provide an intelligent control method and an intelligent control system for an intelligent chair, aiming to solve the technical problem that the chairs in the prior art cannot properly correct the sitting posture of the user, thereby affecting the use.

[0007] To achieve the above object, an embodiment of the present invention provides a smart chair intelligent control method, the method comprising:

[0008] Get the touch authentication information of the armrests within the preset detection area of ​​the smart chair;

[0009] Determine whether the current user has the use authority according to the armrest touch authentication information, and if it is determined to be no, generate a reminder that the chair cannot be used; if it is determined to be yes, generate a seat reset instruction, and control the smart chair to reset to a preset use state based on the seat reset instruction;

[0010] Continuously acquiring the seat force information of the seat of the smart chair at each preset force collection moment, wherein one preset force collection moment corresponds to one seat force information;

[0011] Determining whether the seat is subjected to local bias force within a preset time period according to the force information of each seat;

[0012] If the judgment is no, the preset usage state is maintained; if the judgment is yes, a sitting posture correction reminder is generated and the sitting posture correction reminder is broadcast.

[0013] Optionally, judging whether the seat is locally biased within a preset time period according to the seat force information specifically includes:

[0014] Acquire a pre-branching area for the seat, wherein the pre-branching area at least includes a left detection area, a right detection area, a front detection area, and a rear detection area;

[0015] Decomposing the seat force information of the seat within a preset time period, and respectively obtaining the actual force data of the left detection area, the right detection area, the front detection area, and the rear detection area, wherein the left detection area corresponds to the left force data, the right detection area corresponds to the right force data, the front detection area corresponds to the front force data, and the rear detection area corresponds to the rear force data;

[0016] Generate a force data analysis graph according to each of the left force data, each of the right force data, each of the front force data and each of the rear force data within a preset time period;

[0017] Extracting abnormal force change segments from each of the force data analysis diagrams;

[0018] It is determined whether the abnormal force change segment matches the standard force imbalance data segment. If so, it is determined that the seat is locally biased. If not, it is determined that the seat is not locally biased.

[0019] Optionally, if the judgment is no, the preset use state is maintained, and if the judgment is yes, a sitting posture correction reminder is generated and the sitting posture correction reminder is broadcast, specifically including:

[0020] generating abnormal force data according to the abnormal force change segment;

[0021] Generate standard correction data according to the abnormal force data;

[0022] A sitting posture correction reminder is generated according to the standard correction data, and the sitting posture correction reminder is broadcast.

[0023] Optionally, the method obtains the seat force information based on a seat force information acquisition mechanism, the seat force information acquisition mechanism includes a top plate, an elastic fixing plate, a pressure sensor and a touch sensor, the top plate is installed at the top of the seat, the elastic fixing plate is installed in the seat and is located below the top plate, the side of the elastic fixing plate is fixedly connected to the side of the seat, the number of the pressure sensors is multiple, each of the pressure sensors is installed through the elastic fixing plate, the number of the touch sensors is multiple, each of the touch sensors is installed at the bottom of the seat, and each of the touch sensors is located directly below each of the pressure sensors;

[0024] The continuously acquiring the seat force information of the seat of the smart chair at each preset force collection moment, wherein one preset force collection moment corresponds to one seat force information, specifically includes:

[0025] Acquiring real-time pressure detection information at each preset force collection moment based on each pressure sensor, wherein one piece of real-time pressure detection information corresponds to one pressure sensor;

[0026] Acquiring real-time touch detection information at each preset force collection moment based on each touch sensor, wherein the touch detection information is derived from the triggering of the bottom end of the pressure sensor, and one piece of real-time touch detection information corresponds to one touch sensor;

[0027] The real-time pressure detection information and the real-time touch detection information are aggregated to generate seat force information.

[0028] Optionally, the method further comprises:

[0029] Generate a current total number of touches according to the touch detection information;

[0030] Obtaining the touch duration of the current total number of touches;

[0031] generating a touch risk coefficient according to the current total number of touches and the touch duration;

[0032] Determine whether the touch risk factor is greater than a preset standard risk factor. If so, generate a seat overload reminder; if not, do not remind.

[0033] Optionally, the armrest touch authentication information includes armrest touch information and armrest touch pressure information;

[0034] The step of obtaining the armrest touch authentication information within the preset detection area of ​​the smart chair specifically includes:

[0035] Acquire the armrest touch information that triggers the first detection area in the preset detection area;

[0036] Acquire the touch pressure information of the armrest at the second detection area in the preset detection area;

[0037] The armrest touch authentication information is acquired according to the armrest touch information and the armrest touch pressure information.

[0038] Optionally, judging whether the current user has the right to use the chair according to the armrest touch authentication information, and if the judgment is no, generating a reminder that the chair cannot be used; if the judgment is yes, generating a seat reset instruction, and controlling the smart chair to reset to a preset use state based on the seat reset instruction; specifically including:

[0039] Determining whether the armrest touch information lasts for a first time;

[0040] If the judgment is yes, determining whether the armrest touch pressure information is greater than or equal to the first standard pressure;

[0041] If it is further determined to be yes, it is determined that the current user has the use authority to generate a seat reset instruction, and based on the seat reset instruction, the smart chair is controlled to reset to a preset use state;

[0042] If the result is no, it is determined that the current user does not have the permission to use the application, and a reminder that the application cannot be used is generated.

[0043] Optionally, a smart chair intelligent control system, the system comprising:

[0044] An authentication information acquisition module is used to obtain the touch authentication information of the armrests within the preset detection area of ​​the smart chair;

[0045] A usage authority judgment module is used to judge whether the current user has the usage authority according to the armrest touch authentication information, and if the judgment is no, a non-usable reminder is generated; if the judgment is yes, a seat reset instruction is generated, and based on the seat reset instruction, the smart chair is controlled to reset to a preset usage state;

[0046] A force information collection module, used to continuously obtain the seat force information of the seat of the smart chair at each preset force collection moment, wherein one preset force collection moment corresponds to one seat force information;

[0047] A bias force judgment module, used to judge whether the seat is locally biased within a preset time period according to the seat force information;

[0048] The correction reminder generating module is used to maintain the preset usage state if the judgment is no, and to generate a sitting posture correction reminder and broadcast the sitting posture correction reminder if the judgment is yes.

[0049] The present invention also provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps in the smart chair intelligent control method when executing the computer program.

[0050] The present invention also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps in the intelligent control method of the intelligent chair are implemented.

[0051] The above one or more technical solutions in the intelligent control method of the smart chair and the intelligent control system of the smart chair provided by the embodiments of the present invention have at least one of the following technical effects:

[0052] The intelligent control method of the smart chair of the present invention first obtains the armrest touch authentication information in the preset detection area of ​​the smart chair, and then determines whether the current user has the use authority according to the armrest touch authentication information. If the judgment is no, a reminder that the chair cannot be used is generated; if the judgment is yes, a seat reset instruction is generated, and the smart chair is controlled to reset to a preset use state based on the seat reset instruction, so that a smart chair is dedicated to a user and the user can use it exclusively through authority. Then, the seat force information of the seat of the smart chair at each preset force collection moment is continuously obtained, wherein one preset force collection moment corresponds to one seat force information; then, according to each seat force information, it is determined whether the seat has local bias force within a preset time period; finally, if the judgment is no, the preset use state is maintained, and if the judgment is yes, a sitting posture correction reminder is generated and the sitting posture correction reminder is broadcast, thereby realizing the judgment of whether the user has a sitting posture problem based on the seat force information of the seat, thereby realizing true sitting posture correction, greatly meeting the user's use needs, and having extremely high practicality. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0054] Figure 1A schematic diagram of a flow chart of an intelligent control method for an intelligent chair provided in an embodiment of the present invention;

[0055] Figure 2 A schematic diagram of a flow chart for determining whether there is a local bias stress provided by an embodiment of the present invention;

[0056] Figure 3 A schematic diagram of a process for generating a sitting posture correction reminder provided by an embodiment of the present invention;

[0057] Figure 4 A schematic diagram of a process for obtaining seat force information provided by an embodiment of the present invention;

[0058] Figure 5 A structural block diagram of a seat force information collection mechanism provided by an embodiment of the present invention;

[0059] Figure 6 A schematic diagram of a process for generating a seat overweight reminder provided by an embodiment of the present invention;

[0060] Figure 7 A schematic diagram of a process for obtaining handrail touch authentication information provided by an embodiment of the present invention;

[0061] Figure 8 A schematic diagram of a process for generating an unavailable reminder provided by an embodiment of the present invention;

[0062] Fig. 9 A structural block diagram of the intelligent control system for an intelligent chair provided by an embodiment of the present invention;

[0063] Fig.10 A structural block diagram of a computer device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0064] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0065] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0066] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0067] As used in the specification and appended claims of this application, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is detected" or "in response to detecting [described condition or event]", depending on the context.

[0068] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0069] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0070] In one embodiment of the present invention, Figure 1 As shown, a method for intelligent control of a smart chair is provided, the method is performed based on the smart chair, and the method specifically comprises the following steps:

[0071] Step S100: Acquire the armrest touch authentication information within the preset detection area of ​​the smart chair;

[0072] Step S200: judging whether the current user has the use authority according to the armrest touch authentication information, and if the judgment is no, generating a reminder that the chair cannot be used; if the judgment is yes, generating a seat reset instruction, and controlling the smart chair to reset to a preset use state based on the seat reset instruction;

[0073] In this step, the armrest touch authentication information is first obtained, and then the user's authority is determined. That is, the smart chair is only used by authorized users, such as students or office workers, so that each smart chair has a specific user, avoiding the situation of random use of smart chairs in the prior art.

[0074] On the other hand, different from the prior art, in this step, a specific preset detection area is set, so that only the real user can touch the preset detection area to trigger it, thereby obtaining the armrest touch authentication information within the preset detection area, and binding the smart chair with the user through the area setting.

[0075] Step S300: continuously acquiring the seat force information of the smart chair at each preset force collection moment, wherein one preset force collection moment corresponds to one seat force information;

[0076] Step S400: determining whether the seat is locally biased within a preset time period according to the seat force information;

[0077] In this step, the local biased pressure is the unbalanced pressure on the seat, such as the pressure on one side of the seat is much greater than the pressure on the right side. Considering that the normal healthy sitting posture is an upright sitting posture, the pressure on each part of the seat should be uniform. Therefore, if the user's body leans to one side of the seat, an unhealthy sitting posture may occur, and at this time the seat has a local biased pressure situation.

[0078] Step S500: If the judgment is no, the preset use state is maintained; if the judgment is yes, a sitting posture correction reminder is generated and the sitting posture correction reminder is broadcast.

[0079] In this step, if the judgment is no, that is, it is judged that there is no local bias force on the seat, then the preset usage state is maintained. The preset usage state is a state of the smart chair that is pre-customized by the user and corresponds to the posture of the user's usage habits.

[0080] If the answer is yes, that is, it is determined that there is local bias force on the seat within the preset time period, then a posture correction reminder is generated and announced through voice broadcast, so as to quickly, conveniently and efficiently remind the user.

[0081] The intelligent control method of the smart chair of the present invention first obtains the armrest touch authentication information in the preset detection area of ​​the smart chair, and then determines whether the current user has the use authority according to the armrest touch authentication information. If the judgment is no, a reminder that the chair cannot be used is generated; if the judgment is yes, a seat reset instruction is generated, and the smart chair is controlled to reset to a preset use state based on the seat reset instruction, so that a smart chair is dedicated to a user and the user can use it exclusively through authority. Then, the seat force information of the seat of the smart chair at each preset force collection moment is continuously obtained, wherein one preset force collection moment corresponds to one seat force information; then, according to each seat force information, it is determined whether the seat has local bias force within a preset time period; finally, if the judgment is no, the preset use state is maintained, and if the judgment is yes, a sitting posture correction reminder is generated and the sitting posture correction reminder is broadcast, thereby realizing the judgment of whether the user has a sitting posture problem based on the seat force information of the seat, thereby realizing true sitting posture correction, greatly meeting the user's use needs, and having extremely high practicality.

[0082] In another embodiment of the present invention, as shown in step 2, step S400: judging whether there is a local bias force on the seat within a preset time period according to the force information of each seat, specifically includes:

[0083] Step S410: obtaining a pre-branching area for the seat, wherein the pre-branching area at least includes a left detection area, a right detection area, a front detection area, and a rear detection area;

[0084] Step S420: decomposing the seat force information of the seat within a preset time period, and respectively obtaining the actual force data of the left detection area, the right detection area, the front detection area, and the rear detection area, wherein the left detection area corresponds to the left force data, the right detection area corresponds to the right force data, the front detection area corresponds to the front force data, and the rear detection area corresponds to the rear force data;

[0085] Furthermore, in this step, a left detection area, a right detection area, a front detection area and a rear detection area are set, and in order to more accurately obtain the force conditions of each area, the force information of the seat is decomposed to obtain the actual force data of the left detection area, the right detection area, the front detection area and the rear detection area, respectively.

[0086] Step S430: generating force data analysis diagrams according to each of the left force data, each of the right force data, each of the front force data and each of the rear force data within a preset time period;

[0087] Specifically, one preset force collection moment corresponds to one force data, and different moments corresponding to one area correspond to different force data, that is, each left-side force data, each right-side force data, each front-end force data and each rear-end force data within a preset time period. Therefore, the force data of each area are respectively analyzed by icons, that is, the data of one area corresponds to one force data analysis graph.

[0088] The force data analysis diagram is an analysis diagram with time as the horizontal axis and force as the vertical axis. Therefore, the force data analysis diagram is used to realize a visual display of the force changes in each area, thereby improving the data display effect.

[0089] Step S440: extracting abnormal force change segments from each of the force data analysis diagrams;

[0090] Step S450: Determine whether the abnormal force change segment matches the standard force imbalance data segment. If so, determine that the seat is locally biased. If not, determine that the seat is not locally biased.

[0091] Furthermore, in this embodiment, by extracting the abnormal force change segment from each of the force data analysis diagrams, and then judging whether the abnormal force change segment matches the standard force imbalance data segment, if it is judged to be yes, it is judged that the seat is subjected to local bias force; if it is judged to be no, it is judged that the seat is not subjected to local bias force, thereby realizing the judgment of local bias force.

[0092] Among them, if the force in a certain area is always normal, the curve corresponding to the force data analysis diagram of the area is a curve with little fluctuation, that is, the slope of the force data analysis diagram is always close to the same. Then, if the slope fluctuates greatly and exceeds a specific slope value, it means that a sudden change in local force occurs at this time, and this part of the curve is the abnormal force change segment, and the abnormal force change segment is extracted.

[0093] Then, after extracting the abnormal force change segment, calculate the average slope of the abnormal force change segment, and then obtain the average slope of the preset standard force imbalance data segment. If the difference between the two is less than the preset standard slope, it is a match, otherwise it is a mismatch.

[0094] The average slope of the standard unbalanced force data segment is preset and fixed.

[0095] In another embodiment of the present invention, Figure 3 As shown, step S500: if the judgment is no, then maintain the preset use state; if the judgment is yes, then generate a sitting posture correction reminder and broadcast the sitting posture correction reminder, specifically including:

[0096] Step S521: generating abnormal force data according to the abnormal force change segment;

[0097] Step S522: generating standard correction data according to the abnormal force data;

[0098] Step S523: generating a sitting posture correction reminder according to the standard correction data, and broadcasting the sitting posture correction reminder.

[0099] In this embodiment, the force abnormality data corresponding to the force abnormality segment is extracted according to the force abnormality segment, and the force abnormality data is compared with the preset standard matching data, then the difference between the two is the standard correction data, that is, the standard correction data is generated according to the force abnormality data. Then, the sitting posture correction reminder is generated according to the standard correction data, that is, the sitting posture correction reminder broadcast includes information of the difference data, so that the user can adjust the sitting posture conveniently until the user maintains the correct sitting posture.

[0100] In another embodiment of the present invention, Figure 4-Figure 5 As shown, the method obtains the force information of the seat 211 based on the force information acquisition mechanism of the seat 211, and the force information acquisition mechanism of the seat 211 includes a top plate 111, an elastic fixing plate 112, a pressure sensor 113 and a touch sensor 114, the top plate 111 is installed at the top of the seat 211, the elastic fixing plate 112 is installed in the seat 211 and is located below the top plate 111, the side of the elastic fixing plate 112 is fixedly connected to the side inside the seat 211, the number of the pressure sensors 113 is multiple, and each of the pressure sensors 113 is installed through the elastic fixing plate 112, the number of the touch sensors 114 is multiple, and each of the touch sensors 114 is installed at the bottom of the seat 211, and each of the touch sensors 114 is located directly below each of the pressure sensors 113.

[0101] On the one hand, the top plate 111 has the function of protecting the pressure sensor 113. On the other hand, the detection end of the pressure sensor 113 is fixed to the top plate 111, and the top surface of the top plate 111 is connected to the top of the inside of the seat 211. The top of the seat 211 is the area that directly bears the weight of the user. Therefore, by setting a stacked structure of the seat 211, the top plate 111 and the pressure sensor 113, the pressure on the seat 211 can be accurately transmitted to each of the pressure sensors 113.

[0102] The elastic fixing plate 112 can fix the pressure sensor 113 on one hand, and can also play a supporting role in the seat 211 on the other hand, thereby improving the overall stability of the seat 211. In addition, when the force applied by the user is too large, the elastic fixing plate 112 will undergo a large elastic deformation, until the pressure sensor 113 is driven to trigger the touch sensor 114 disposed below the pressure sensor 113, thereby further acquiring data on the load-bearing force of the seat.

[0103] Step S300: continuously acquiring the force information of the seat 211 of the smart chair at each preset force collection moment, wherein one preset force collection moment corresponds to one force information of the seat 211, specifically including:

[0104] Step S310: acquiring the real-time pressure detection information of each preset force collection moment based on each pressure sensor 113 , wherein one piece of real-time pressure detection information corresponds to one pressure sensor 113 ;

[0105] Step S320: acquiring real-time touch detection information at each preset force collection moment based on each touch sensor 114 , wherein the touch detection information is derived from the triggering of the bottom end of the pressure sensor 113 , and one piece of real-time touch detection information corresponds to one touch sensor 114 ;

[0106] In this step, the touch sensor 114 is triggered only when the force applied by the user to the seat is large enough.

[0107] Step S330: Aggregate the real-time pressure detection information and the real-time touch detection information to generate seat force information.

[0108] In another embodiment of the present invention, Figure 6 As shown, the method also includes:

[0109] Step S341: generating a current total number of touches according to the touch detection information;

[0110] Step S342: Obtain the touch duration of the current total number of touches;

[0111] Step S343: generating a touch risk coefficient according to the current total number of touches and the touch duration;

[0112] Step S344: Determine whether the touch risk factor is greater than a preset standard risk factor. If so, generate a seat overweight reminder; if not, do not give a reminder.

[0113] In this embodiment, as long as the touch sensor is triggered, it means that the pressure applied to the smart chair is too great. When the excessive pressure is applied more than a certain number of times, the smart chair will be damaged. If the smart chair contains objects such as springs, a safety accident is very likely to occur.

[0114] Therefore, in order to improve safety and reliability, the touch risk coefficient is generated by first generating the current total number of touches, then obtaining the touch duration corresponding to the current total number of touches, and then adding the two, that is, adding the current total number of touches and the touch duration.

[0115] The larger the value of the touch risk coefficient is, the more dangerous it is. Then, by setting the standard risk coefficient, if it is greater than or equal to the standard risk coefficient, it means that the smart chair has been used for a long time and there is a greater possibility of risk. Therefore, a seat overweight reminder is generated. If it is judged as no, no reminder is given.

[0116] In another embodiment of the present invention, Figure 7 As shown, the armrest touch authentication information includes armrest touch information and armrest touch pressure information;

[0117] Step S100: Acquiring armrest touch authentication information within a preset detection area of ​​the smart chair, specifically including:

[0118] Step S110: Acquire the handrail touch information that triggers the first detection area in the preset detection area;

[0119] Specifically, the armrest touch information is obtained by setting a touch sensor at the first detection area.

[0120] Step S120: Acquiring the armrest touch pressure information that triggers the second detection area in the preset detection area;

[0121] Specifically, a pressure detection sensor is provided at the first detection area to obtain the armrest touch pressure information.

[0122] Step S130: Acquire armrest touch authentication information according to the armrest touch information and the armrest touch pressure information.

[0123] In this embodiment, the preset detection area is the armrest area of ​​the smart chair, the first detection area is below the armrest of the smart chair, and the second detection area is the upper surface of the armrest of the smart chair. When the first detection area is touched by hand, the armrest touch information can be obtained. At the same time, the user's hand holds the second detection area to obtain the armrest touch pressure information, and then by combining the two, the armrest touch authentication information is obtained.

[0124] In another embodiment of the present invention, Figure 8 As shown, step S200: judging whether the current user has the use permission according to the armrest touch authentication information, if the judgment is no, generating a reminder that the chair cannot be used; if the judgment is yes, generating a seat reset instruction, and controlling the smart chair to reset to a preset use state based on the seat reset instruction; specifically including:

[0125] Step S210: determining whether the armrest touch information lasts for a first time;

[0126] Step S220: If the judgment is yes, determine whether the armrest touch pressure information is greater than or equal to the first standard pressure;

[0127] Step S230: If it is further determined to be yes, it is determined that the current user has the use authority to generate a seat reset instruction, and based on the seat reset instruction, the smart chair is controlled to reset to a preset use state;

[0128] Step S240: If the further determination is no, it is determined that the current user does not have the permission to use the application, and a reminder that the application cannot be used is generated.

[0129] In the present embodiment, it is first determined whether the armrest touch information continues for a first time, and when it is determined to be yes, it is then determined whether the armrest touch pressure information is greater than or equal to the first standard pressure. That is, only when both are determined to be yes, can a seat reset instruction be generated, and based on the seat reset instruction, the smart chair is controlled to reset to a preset usage state. Compared with the inconvenience and inaccurate authentication caused by authentication only by fingerprint touch in the prior art, in this step, the armrest touch information and the armrest touch pressure information are combined and judged in combination to realize the judgment of whether the authority is possessed, which achieves more accuracy and efficiency, and there is no need to set up a smart touch screen, which saves the structural space of the smart chair and has extremely high practicality.

[0130] In another embodiment of the present invention, the method further comprises:

[0131] First, the seat back force information of the seat back is obtained;

[0132] Next, determining whether the seat back force information matches the preset standard force information;

[0133] Then, if it is judged that there is a match, a reminder that the seat back force is normal is generated, and if it is judged that there is no match, a reminder of the seat back sitting posture is generated.

[0134] Furthermore, in the present embodiment, a plurality of pressure sensors are arranged on the chair back to detect the force of the entire chair back. The detected force is the chair back force information. The chair back force information feeds back the force applied by the user to the chair back of the smart chair. Therefore, if it is judged that the chair back force information matches the preset standard force information, a normal chair back force reminder is generated. If it is judged that it does not match, a chair back sitting posture reminder is generated.

[0135] Therefore, by detecting the force information of the chair back, a more accurate reminder of the sitting posture can be achieved, thereby improving the effect and comprehensiveness of the sitting posture correction.

[0136] In another embodiment of the present invention, Fig. 9 As shown, the present invention also provides an intelligent chair intelligent control system, the system comprising:

[0137] The authentication information acquisition module 10 is used to obtain the touch authentication information of the armrest within the preset detection area of ​​the smart chair;

[0138] The use permission judgment module 20 is used to judge whether the current user has the use permission according to the armrest touch authentication information, and if it is judged as no, a reminder of unusable is generated; if it is judged as yes, a seat reset instruction is generated, and based on the seat reset instruction, the smart chair is controlled to reset to a preset use state;

[0139] The force information collection module 30 is used to continuously obtain the seat force information of the seat of the smart chair at each preset force collection moment, wherein one preset force collection moment corresponds to one seat force information;

[0140] A bias force determination module 40 is used to determine whether the seat is subjected to local bias force within a preset time period according to the seat force information;

[0141] The correction reminder generating module 50 is used to maintain the preset use state if the judgment is no, and to generate a sitting posture correction reminder and broadcast the sitting posture correction reminder if the judgment is yes.

[0142] In another embodiment of the present invention, the bias force judgment module 40 is also used to: obtain a pre-branching area for the seat, the pre-branching area at least includes a left detection area, a right detection area, a front detection area and a rear detection area; decompose the seat force information of the seat within a preset time period, and respectively obtain the actual force data of the left detection area, the right detection area, the front detection area and the rear detection area, wherein the left detection area corresponds to the left force data, the right detection area corresponds to the right force data, the front detection area corresponds to the front force data, and the rear detection area corresponds to the rear force data; generate a force data analysis diagram according to each of the left force data, each of the right force data, each of the front force data and each of the rear force data within the preset time period; extract an abnormal force change segment from each of the force data analysis diagrams; judge whether the abnormal force change segment matches the standard force imbalance data segment, if it is judged to be yes, it is judged that the seat has a local bias force, if it is judged to be no, it is judged that the seat does not have a local bias force.

[0143] In another embodiment of the present invention, the correction reminder generating module 50 is further used to: generate abnormal force data according to the abnormal force change segment; generate standard correction data according to the abnormal force data; generate a sitting posture correction reminder according to the standard correction data, and broadcast the sitting posture correction reminder.

[0144] In another embodiment of the present invention, the force information acquisition module 30 is also used for: acquiring real-time pressure detection information at each preset force collection moment based on each pressure sensor, one real-time pressure detection information corresponds to one pressure sensor; acquiring real-time touch detection information at each preset force collection moment based on each touch sensor, the touch detection information comes from the triggering of the bottom end of the pressure sensor, one real-time touch detection information corresponds to one touch sensor; aggregating each real-time pressure detection information and each real-time touch detection information to generate seat force information.

[0145] In another embodiment of the present invention, the force information acquisition module 30 is also used to: generate the current total number of touches based on the touch detection information; obtain the touch duration of the current total number of touches; generate a touch risk coefficient based on the current total number of touches and the touch duration; determine whether the touch risk coefficient is greater than a preset standard risk coefficient, and if so, generate a seat overweight reminder, and if not, do not remind.

[0146] In another embodiment of the present invention, the authentication information acquisition module 10 is also used to: obtain the armrest touch information that triggers the first detection area within the preset detection area; obtain the armrest touch pressure information that triggers the second detection area within the preset detection area; and obtain the armrest touch authentication information based on the armrest touch information and the armrest touch pressure information.

[0147] In another embodiment of the present invention, the authentication information acquisition module 10 is also used to: determine whether the armrest touch information continues for a first time; if it is determined to be yes, determine whether the armrest touch pressure information is greater than or equal to a first standard pressure; if it is further determined to be yes, determine whether the current user has the permission to use and generate a seat reset instruction, and control the smart chair to reset to a preset usage state based on the seat reset instruction; if it is further determined to be no, determine that the current user does not have the permission to use and generate a non-usable reminder.

[0148] In another embodiment of the present invention, the system also includes a chair back information processing module, which is used to: obtain the chair back force information of the chair back; determine whether the chair back force information matches the preset standard force information; if it is determined to match, generate a normal chair back force reminder, if it is determined to not match, generate a chair back sitting posture reminder.

[0149] In another embodiment of the present invention, Fig.10 As shown, an electronic device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps in the smart chair intelligent control method when executing the computer program.

[0150] In another embodiment of the present invention, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the steps in the smart chair intelligent control method are implemented.

[0151] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and 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 embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0152] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A smart chair intelligent control method, characterized in that: The intelligent chair intelligent control method comprises: Get the touch authentication information of the armrests within the preset detection area of ​​the smart chair; Determine whether the current user has the use permission according to the armrest touch authentication information, and if it is determined to be no, generate a reminder that the chair cannot be used; if it is determined to be yes, generate a seat reset instruction, and control the smart chair to reset to a preset use state based on the seat reset instruction; Continuously acquiring the seat force information of the seat of the smart chair at each preset force collection moment, wherein one preset force collection moment corresponds to one seat force information; Determining whether the seat is subjected to local bias force within a preset time period according to the force information of each seat; If the judgment is no, the preset use state is maintained; if the judgment is yes, a sitting posture correction reminder is generated and the sitting posture correction reminder is broadcast; The intelligent control method of the intelligent chair obtains the seat force information based on the seat force information collection mechanism, and the seat force information collection mechanism includes a top plate, an elastic fixing plate, a pressure sensor and a touch sensor, the top plate is installed at the top of the seat, the elastic fixing plate is installed in the seat and is located below the top plate, the side of the elastic fixing plate is fixedly connected to the side of the seat, the number of the pressure sensors is multiple, and each of the pressure sensors is installed through the elastic fixing plate, the number of the touch sensors is multiple, and each of the touch sensors is installed at the bottom of the seat, and each of the touch sensors is located directly below each of the pressure sensors; The continuously acquiring the seat force information of the seat of the smart chair at each preset force collection moment, wherein one preset force collection moment corresponds to one seat force information, specifically includes: Acquiring real-time pressure detection information at each preset force collection moment based on each pressure sensor, wherein one piece of real-time pressure detection information corresponds to one pressure sensor; Acquiring real-time touch detection information at each preset force collection moment based on each touch sensor, wherein the touch detection information is derived from the triggering of the bottom end of the pressure sensor, and one piece of real-time touch detection information corresponds to one touch sensor; Aggregate each of the real-time pressure detection information and each of the real-time touch detection information to generate seat force information; The intelligent chair intelligent control method also includes: Generate a current total number of touches according to the touch detection information; Obtaining the touch duration of the current total number of touches; generating a touch risk coefficient according to the current total number of touches and the touch duration; Determine whether the touch risk factor is greater than a preset standard risk factor, if so, generate a seat overload reminder, if not, do not remind; The armrest touch authentication information includes armrest touch information and armrest touch pressure information; The step of obtaining the armrest touch authentication information within the preset detection area of ​​the smart chair specifically includes: Acquire the armrest touch information that triggers the first detection area in the preset detection area; Acquire the touch pressure information of the armrest at the second detection area in the preset detection area; Acquiring handrail touch authentication information according to the handrail touch information and the handrail touch pressure information; When the user applies force, the elastic fixing plate will be elastically deformed until the pressure sensor is driven to trigger the touch sensor arranged below the pressure sensor, thereby acquiring data on the bearing force of the seat.

2. The intelligent control method of the intelligent chair according to claim 1, characterized in that: The determining, based on the seat force information, whether the seat is subjected to local bias force within a preset time period specifically includes: Acquire a pre-branching area for the seat, wherein the pre-branching area at least includes a left detection area, a right detection area, a front detection area, and a rear detection area; Decomposing the seat force information of the seat within a preset time period, and respectively obtaining the actual force data of the left detection area, the right detection area, the front detection area, and the rear detection area, wherein the left detection area corresponds to the left force data, the right detection area corresponds to the right force data, the front detection area corresponds to the front force data, and the rear detection area corresponds to the rear force data; Generate a force data analysis graph according to each of the left force data, each of the right force data, each of the front force data and each of the rear force data within a preset time period; Extracting abnormal force change segments from each of the force data analysis diagrams; It is determined whether the abnormal force change segment matches the standard force imbalance data segment. If so, it is determined that the seat is locally biased. If not, it is determined that the seat is not locally biased.

3. The intelligent control method of the intelligent chair according to claim 2, characterized in that: If the judgment is no, the preset use state is maintained; if the judgment is yes, a sitting posture correction reminder is generated and the sitting posture correction reminder is broadcast, specifically including: generating abnormal force data according to the abnormal force change segment; Generate standard correction data according to the abnormal force data; A sitting posture correction reminder is generated according to the standard correction data, and the sitting posture correction reminder is broadcast.

4. The intelligent control method of the intelligent chair according to claim 1, characterized in that: The method further comprises determining whether the current user has the right to use the handrail according to the handrail touch authentication information, and if the user is not authorized to use the handrail, generating a reminder that the handrail cannot be used; If the judgment is yes, a seat reset instruction is generated, and based on the seat reset instruction, the smart chair is controlled to reset to a preset use state; specifically including: Determining whether the armrest touch information lasts for a first time; If the judgment is yes, determining whether the armrest touch pressure information is greater than or equal to the first standard pressure; If it is further determined to be yes, it is determined that the current user has the use authority to generate a seat reset instruction, and based on the seat reset instruction, the smart chair is controlled to reset to a preset use state; If the result is no, it is determined that the current user does not have the permission to use the application, and a reminder that the application cannot be used is generated.

5. An intelligent control system for an intelligent chair, characterized in that: The intelligent control system for the smart chair applies the intelligent control method for the smart chair according to any one of claims 1 to 4, and the system comprises: An authentication information acquisition module is used to obtain the touch authentication information of the armrests within the preset detection area of ​​the smart chair; A usage authority judgment module is used to judge whether the current user has the usage authority according to the armrest touch authentication information, and if the judgment is no, a non-usable reminder is generated; if the judgment is yes, a seat reset instruction is generated, and based on the seat reset instruction, the smart chair is controlled to reset to a preset usage state; A force information collection module, used to continuously obtain the seat force information of the seat of the smart chair at each preset force collection moment, wherein one preset force collection moment corresponds to one seat force information; A bias force judgment module, used to judge whether the seat is locally biased within a preset time period according to the seat force information; A correction reminder generating module, for maintaining the preset use state if the judgment is no, and generating a sitting posture correction reminder and broadcasting the sitting posture correction reminder if the judgment is yes; The intelligent control method of the intelligent chair obtains the seat force information based on the seat force information collection mechanism, and the seat force information collection mechanism includes a top plate, an elastic fixing plate, a pressure sensor and a touch sensor, the top plate is installed at the top of the seat, the elastic fixing plate is installed in the seat and is located below the top plate, the side of the elastic fixing plate is fixedly connected to the side of the seat, the number of the pressure sensors is multiple, and each of the pressure sensors is installed through the elastic fixing plate, the number of the touch sensors is multiple, and each of the touch sensors is installed at the bottom of the seat, and each of the touch sensors is located directly below each of the pressure sensors; The continuously acquiring the seat force information of the seat of the smart chair at each preset force collection moment, wherein one preset force collection moment corresponds to one seat force information, specifically includes: Acquiring real-time pressure detection information at each preset force collection moment based on each pressure sensor, wherein one piece of real-time pressure detection information corresponds to one pressure sensor; Acquiring real-time touch detection information at each preset force collection moment based on each touch sensor, wherein the touch detection information is derived from the triggering of the bottom end of the pressure sensor, and one piece of real-time touch detection information corresponds to one touch sensor; Aggregate each of the real-time pressure detection information and each of the real-time touch detection information to generate seat force information; The intelligent chair intelligent control method also includes: Generate a current total number of touches according to the touch detection information; Obtaining the touch duration of the current total number of touches; generating a touch risk coefficient according to the current total number of touches and the touch duration; Determine whether the touch risk factor is greater than a preset standard risk factor, if so, generate a seat overload reminder, if not, do not remind; The armrest touch authentication information includes armrest touch information and armrest touch pressure information; The step of obtaining the armrest touch authentication information within the preset detection area of ​​the smart chair specifically includes: Acquire the armrest touch information that triggers the first detection area in the preset detection area; Acquire the touch pressure information of the armrest at the second detection area in the preset detection area; Acquiring handrail touch authentication information according to the handrail touch information and the handrail touch pressure information; When the user applies force, the elastic fixing plate will be elastically deformed until the pressure sensor is driven to trigger the touch sensor arranged below the pressure sensor, thereby acquiring data on the bearing force of the seat.

6. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the smart chair intelligent control method described in any one of claims 1 to 4 are implemented.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the intelligent control method of the intelligent chair described in any one of claims 1 to 4 are implemented.

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