CN117898576A - Intelligent seat position regulation and control system and method based on sitting posture detection - Google Patents
Intelligent seat position regulation and control system and method based on sitting posture detection Download PDFInfo
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- CN117898576A CN117898576A CN202410309972.2A CN202410309972A CN117898576A CN 117898576 A CN117898576 A CN 117898576A CN 202410309972 A CN202410309972 A CN 202410309972A CN 117898576 A CN117898576 A CN 117898576A
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47C—CHAIRS; SOFAS; BEDS
- A47C31/00—Details or accessories for chairs, beds, or the like, not provided for in other groups of this subclass, e.g. upholstery fasteners, mattress protectors, stretching devices for mattress nets
- A47C31/12—Means, e.g. measuring means, for adapting chairs, beds or mattresses to the shape or weight of persons
- A47C31/126—Means, e.g. measuring means, for adapting chairs, beds or mattresses to the shape or weight of persons for chairs
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47C—CHAIRS; SOFAS; BEDS
- A47C7/00—Parts, details, or accessories of chairs or stools
- A47C7/36—Supports for the head or the back
- A47C7/40—Supports for the head or the back for the back
- A47C7/46—Supports for the head or the back for the back with special, e.g. adjustable, lumbar region support profile; "Ackerblom" profile chairs
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M99/00—Subject matter not provided for in other groups of this subclass
- G01M99/001—Testing of furniture, e.g. seats or mattresses
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Abstract
The invention discloses an intelligent seat position regulation and control system and method based on sitting posture detection, and relates to the technical field of intelligent seat regulation and control, wherein the intelligent seat position regulation and control system comprises a data acquisition module, a stress analysis module and a seat regulation and control module; the data acquisition module and the seat regulation and control module are respectively connected with the stress analysis module in a data way; the data acquisition module is used for acquiring the back pressure of the seat back, the supporting pressure of the back supporting piece and the inclination angle of the seat back; the stress analysis module is used for analyzing the backrest pressure, the supporting pressure and the inclination angle and judging whether the sitting posture of the user has abrasion to the intelligent seat or not; the seat regulation and control module is used for regulating and controlling the intelligent seat; the intelligent seat control method is used for solving the problem that the service life of the intelligent seat is reduced due to the fact that the existing intelligent seat control technology is lack of analysis on the stress of the seat back.
Description
Technical Field
The invention relates to the technical field of intelligent seat regulation and control, in particular to an intelligent seat position regulation and control system and method based on sitting posture detection.
Background
The intelligent seat regulation and control technology is to apply sensors, algorithms and automatic regulation mechanisms to intelligently monitor and regulate the seat so as to provide personalized comfort and support for users.
The existing intelligent seat regulation and control technology generally only considers the comfort level of a user, ignores the abrasion condition of an intelligent seat support assembly under the stress condition, and a lot of people like a high-elevation semi-lying sitting posture, and the sitting posture needs to adjust the seat back to a larger inclination angle, at this time, the people lie on the intelligent seat regulation and control technology only by supporting the back support piece at the bottom of the seat back, and long-term extrusion can cause the problem that the back support piece is loose or damaged and gives out abnormal sound, so that under the condition of considering the comfortable sitting posture of the user, the stress of the seat back is also needed to be analyzed, so as to reduce the loss of the back support piece, prolong the life cycle of the intelligent seat, for example, in China patent with application publication number CN116570118A, an office seat regulation method, an office seat regulation device and a storage medium are disclosed.
Disclosure of Invention
The invention aims to solve at least one of the technical problems in the prior art to a certain extent, a stress area is determined by detecting the contact area between a human body and a seat backrest, then a detection point is divided based on the stress area, an intelligent force measuring device is installed on a backrest support, the pressure threshold value of the seat backrest is analyzed through supporting pressure and an inclination angle, the pressure of the backrest is analyzed when the supporting pressure exceeds the pressure threshold value, and meanwhile, the optimal supporting point on the seat backrest is found by combining factors such as shaking of a seat by a user and the like, and the seat backrest is supported through the seat support, so that the problem that the service life of the intelligent seat is reduced due to the fact that the existing intelligent seat regulation and control technology lacks analysis of the stress of the seat backrest is solved.
In order to achieve the above object, in a first aspect, the present application provides an intelligent seat position control system based on sitting posture detection, which includes a data acquisition module, a stress analysis module, and a seat control module; the data acquisition module and the seat regulation and control module are respectively connected with the stress analysis module in a data way;
The data acquisition module is used for acquiring the back pressure of the seat back, the supporting pressure of the back supporting piece and the inclination angle of the seat back;
The stress analysis module is used for analyzing the backrest pressure, the supporting pressure and the inclination angle and judging whether the sitting posture of the user has abrasion to the intelligent seat or not;
The seat regulation and control module is used for regulating and controlling the intelligent seat.
Further, the data acquisition module comprises a pressure acquisition unit and an inclination acquisition unit, wherein the pressure acquisition unit is used for acquiring the back pressure and the supporting pressure; the inclination acquisition unit is used for acquiring the inclination angle of the seat back.
Further, the pressure acquisition unit is configured with a pressure acquisition strategy comprising:
Selecting a first test number of testers to sit on the intelligent seat in a first sitting posture, detecting the contact area of the seat backrest and the human body, and marking the contact area as a stress area; the first sitting posture is that the back of a tester is attached to the backrest of the seat, and the buttocks are seated on the seat cushion;
Drawing a central line in the vertical direction based on the seat backrest, and acquiring an intersection point of the central line and the bottommost part of the stress area, and naming the intersection point as a first detection point;
designating the midpoint of the straight line at the top of the seat back as the midpoint of the top, and connecting the first detection point with the midpoint of the top to obtain a stressed straight line;
Marking the midpoint of the stressed straight line as a first midpoint, and marking the first midpoint and the top midpoint as a third detection point and a fifth detection point respectively;
Marking the midpoint of the straight line between the first detection point and the third detection point as a second detection point, and marking the midpoint of the straight line between the third detection point and the fifth detection point as a fourth detection point;
The intelligent force measuring device is installed at the first detection point, the second detection point, the third detection point, the fourth detection point and the fifth detection point; an intelligent force measuring device is arranged at the backrest support;
The bottom pressure is detected through a first detection point, the middle pressure is detected through a second detection point, the middle pressure is detected through a third detection point, the middle pressure is detected through a fourth detection point, the top pressure is detected through a fifth detection point, and the supporting pressure is detected through an intelligent force measuring device at the backrest supporting piece.
Further, the stress analysis module comprises a factory threshold determination unit, a shaking factor analysis unit and a support point position analysis unit, wherein the factory threshold determination unit is used for determining a pressure threshold of the intelligent seat; the shaking factor analysis unit is used for detecting a pressure relation function of shaking to supporting pressure at different points on the seat backrest of a user; the support point position analysis unit is used for searching a new support point position on the seat back and supporting the seat back.
Further, the factory threshold determining unit is configured with a factory threshold determining policy, where the factory threshold determining policy includes:
Acquiring a current inclination angle of the intelligent seat, and marking the current inclination angle as an initial angle, wherein the inclination angle is an included angle between a seat back and a seat cushion; after the tester sits on the intelligent seat in the first sitting posture, acquiring the inclination angle again, and marking the inclination angle as a leaning angle;
subtracting the initial angle from the leaning angle, and marking the calculated value as an initial offset angle;
Increasing the pressure applied to the seat back so that the leaning angle is increased, stopping the pressure when the leaning angle is not changed any more, and recording the leaning angle at the moment and marking the leaning angle as a high-pressure angle;
subtracting the initial angle from the high-voltage angle, and marking the calculated value as a maximum offset angle;
The wear angle is calculated by the formula g= (gmax+gmin)/2; wherein G is a wear angle, gmax is a maximum offset angle, gmin is an initial offset angle;
support pressure at lean angle = wear angle is obtained, labeled as pressure threshold.
Further, the shaking factor analysis unit is configured with a shaking factor analysis strategy, and the shaking factor analysis strategy includes:
Marking the first detection point, the second detection point, the third detection point, the fourth detection point and the fifth detection point as pressure detection points;
sequentially applying pressure to the pressure detection points, so that the leaning angle=high-pressure angle, recording the value of the pressure applied at the moment, and marking the value as the pressing pressure;
Reducing the pressing pressure, wherein the reduced value is shaking the first pressure, and marking the reduced pressing pressure as low-pressure; immediately increasing the shaking first pressure after the reduction, and continuing the first test time; calculating the pressurizing pressure-low pressure, and marking the calculation result as shaking pressure;
detecting the maximum value and the minimum value of the leaning angle in the first test time, respectively marking the maximum value and the minimum value as a first angle and a second angle, calculating the difference value between the first angle and the second angle, and marking the difference value as a shaking angle;
judging whether the low pressure is equal to zero, and if the low pressure is equal to zero, outputting a circulation ending signal; if the low pressure is not equal to zero, reducing the shaking first pressure again on the basis of the low pressure and recording the shaking angle;
Testing shaking pressure and shaking angles of all pressure detection points, taking the shaking pressure as an X axis and the shaking angles as a Y axis aiming at the first detection point, the second detection point, the third detection point, the fourth detection point and the fifth detection point, and respectively marking the shaking pressure as a first coordinate system, a second coordinate system, a third coordinate system, a fourth coordinate system and a fifth coordinate system which are collectively called a pressure angle coordinate system; recording the shaking pressure and the shaking angle into a corresponding pressure angle coordinate system;
And performing exponential regression on the pressure angle coordinate system to obtain fitting functions of the first coordinate system, the second coordinate system, the third coordinate system, the fourth coordinate system and the fifth coordinate system, wherein the fitting functions are sequentially marked as a bottom relation function, a middle-lower relation function, a middle relation function, an upper-middle relation function and a top relation function, and are collectively called a pressure relation function.
Further, the supporting point position analysis unit is configured with a supporting point position analysis strategy, and the supporting point position analysis strategy includes:
Acquiring the supporting pressure of a user during use, and marking the supporting pressure as the using pressure;
Comparing the using pressure with a pressure threshold, and outputting a support-free signal if the using pressure is smaller than the pressure threshold; if the using pressure is greater than or equal to the pressure threshold, outputting a signal needing to be supported;
If the support signal is output, analyzing the optimal support point of the seat back by the back pressure obtained through the pressure relation function and the pressure detection point detection;
the backrest pressure comprises bottom pressure, middle-lower pressure, middle-upper pressure and top pressure;
detecting whether shaking exists or not, and outputting a shaking-free signal if shaking does not exist; if the shaking exists, outputting a shaking signal;
if the shake-free signal is output, marking a detection point corresponding to the maximum value of the backrest pressure as an optimal supporting point;
If the shaking signal exists in the output, detecting shaking bottom pressure through a first detection point, detecting shaking middle lower pressure through a second detection point, detecting shaking middle pressure through a third detection point, detecting shaking middle upper pressure through a fourth detection point, and detecting shaking top pressure through a fifth detection point;
Substituting the shaking bottom pressure into a bottom relation function, and marking the calculated result as a bottom influence value; substituting the shaking middle-lower pressure into a middle-lower relation function, and marking the calculated result as a middle-lower influence value; substituting the shaking middle pressure into a middle relation function, and marking the calculated result as a middle influence value; substituting the upper middle pressure in the shaking into the upper middle relation function, and marking the calculated result as an upper middle influence value; substituting the shaking top pressure into a top relation function, and marking the calculated result as a top influence value; the bottom influence value, the middle-lower influence value, the middle-upper influence value and the top influence value are collectively called point position influence values;
Searching the maximum value in the point position influence values, marking the maximum influence value, and marking the detection point corresponding to the maximum influence value as the optimal supporting point.
Further, the seat adjustment module includes a support adjustment unit and a seat support; the support regulating and controlling unit is used for regulating and controlling the seat support; the seat support is used for supporting a seat backrest, the seat support is arranged to be of a telescopic structure, the seat support is arranged on the seat backrest, the seat support and the seat backrest are connected in a sliding mode through an electric sliding rail, an electric locking structure is arranged in the electric sliding rail, and the electric locking structure is used for locking the supporting position of the seat support.
Further, the support regulating and controlling unit is used for moving the seat support to an optimal supporting point and controlling the electric locking structure to lock.
In a second aspect, the present application provides a method for intelligent seat position adjustment based on sitting posture detection, comprising the steps of:
Step S1, collecting the back pressure of a seat back, the supporting pressure of a back supporting piece and the inclination angle of the seat back;
s2, analyzing the back pressure, the supporting pressure and the inclination angle, and judging whether the sitting posture of the user has abrasion to the intelligent seat or not;
And S3, regulating and controlling the intelligent seat.
The invention has the beneficial effects that: according to the intelligent seat, the supporting pressure and the inclination angle are analyzed, and the pressure threshold value of the backrest supporting piece is calculated, so that the seat supporting piece can be controlled to support the backrest when the supporting pressure exceeds the pressure threshold value, the supporting pressure is reduced, the abrasion of the backrest supporting piece is reduced, the service life of the intelligent seat is prolonged, and the rationality of the intelligent seat regulation is improved;
According to the intelligent seat control system, the shaking pressure and the inclination angle at different detection points are tested, and the shaking pressure and the inclination angle are analyzed to obtain the pressure relation function of each detection point;
According to the invention, whether a user shakes or not is analyzed through the backrest pressure, the optimal supporting point is selected according to the maximum backrest pressure when the user does not shake, and the detection point which has the greatest influence on the seat backrest is calculated according to the shaking pressure and the pressure relation function and marked as the optimal supporting point when the user shakes.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application. The objectives and other advantages of the application will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
Drawings
FIG. 1 is a flow chart of the steps of the method of the present invention;
FIG. 2 is a schematic diagram of a force-bearing region and a pressure-detecting point according to the present invention;
FIG. 3 is a schematic diagram of an integrated coordinate system according to the present invention;
FIG. 4 is a schematic view of a seat support of the present invention;
fig. 5 is a functional block diagram of the system of the present invention.
Detailed Description
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the invention. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the present invention.
Embodiments of the invention and features of the embodiments may be combined with each other without conflict.
Embodiment 1, referring to fig. 1, in a first aspect, the present application provides an intelligent seat position adjustment method based on sitting posture detection, comprising the following steps:
step S1, collecting the back pressure of a seat back, the supporting pressure of a back supporting piece and the inclination angle of the seat back; step S1 comprises the following sub-steps:
Step S101, collecting the back pressure and the supporting pressure;
Step S101 includes the following sub-steps:
Referring to fig. 2, step S1011, selecting a first test number of testers sitting on the intelligent seat in a first sitting posture, detecting a contact area between the backrest and the human body, and marking the contact area as a stress area; the first sitting posture is that the back of a tester is attached to the backrest of the seat, and the buttocks are seated on the seat cushion;
Step S1012, drawing a central line in the vertical direction based on the seat backrest, and acquiring an intersection point of the central line and the bottommost part of the stress area, and naming the intersection point as a first detection point;
step S1013, the midpoint of the top straight line of the seat back is named as the top midpoint, and the first detection point is connected with the top midpoint to obtain a stressed straight line;
Step S1014, marking the midpoint of the stressed straight line as a first midpoint, and marking the first midpoint and the top midpoint as a third detection point and a fifth detection point respectively;
Step S1015, marking a midpoint of a straight line between the first detection point and the third detection point as a second detection point, and marking a midpoint of a straight line between the third detection point and the fifth detection point as a fourth detection point;
step S1016, installing an intelligent force measuring device at the first detection point, the second detection point, the third detection point, the fourth detection point and the fifth detection point; an intelligent force measuring device is arranged at the backrest support;
Step S1017, detecting bottom pressure through a first detection point, detecting middle-lower pressure through a second detection point, detecting middle pressure through a third detection point, detecting middle-upper pressure through a fourth detection point, detecting top pressure through a fifth detection point, and detecting supporting pressure through an intelligent force measuring device at a backrest support;
In the implementation, as the body data of each person is different and the contact areas leaning on the seat back are different, the first test quantity is set to obtain the stress areas of different persons, so that the set positions of the actual detection points are obtained; in this embodiment, the first test number is set to 100, and in 100 stress areas, the stress area with the boundary of the stress area closest to the straight line of the bottom of the seat back is selected as a sample, and the positions of the first detection point, the second detection point, the third detection point, the fourth detection point and the fifth detection point are shown in fig. 2; the mounting position of the intelligent force measuring apparatus at the back support is shown in fig. 4; the intelligent force measuring device adopts an existing intelligent force measuring meter;
Step S102, collecting the inclination angle of a seat back;
In a specific implementation, the inclination angle is measured by an angle measuring instrument.
S2, analyzing the back pressure, the supporting pressure and the inclination angle, and judging whether the sitting posture of the user has abrasion to the intelligent seat or not; step S2 comprises the following sub-steps:
step S201, determining a pressure threshold of the intelligent seat;
step S201 includes the following sub-steps:
Step S2011, acquiring the current inclination angle of the intelligent seat, wherein the current inclination angle is marked as an initial angle, and the inclination angle is an included angle between a seat back and a seat cushion; after the tester sits on the intelligent seat in the first sitting posture, acquiring the inclination angle again, and marking the inclination angle as a leaning angle;
Step S2012, subtracting the initial angle from the leaning angle, and marking the calculated value as an initial offset angle;
Step S2013, increasing the pressure applied to the backrest so that the leaning angle is increased, stopping the pressure when the leaning angle is not changed any more, and recording the leaning angle at the moment and marking the leaning angle as a high-pressure angle;
step S2014, the initial angle is subtracted from the high-voltage angle, and the calculated value is marked as a maximum offset angle;
Step S2015, calculating the wear angle by the formula g= (gmax+gmin)/2; wherein G is a wear angle, gmax is a maximum offset angle, gmin is an initial offset angle;
Step S2016, obtaining the support pressure at the lean angle=wear angle, labeled as the pressure threshold;
In the implementation, an initial angle of 110 degrees is obtained, a tester selects an adult with an average weight of 60kg, the adult sits on a seat and naturally leans against a backrest of the seat to test that the leaning angle is 111 degrees, and the initial offset angle is 1 degree; the leaning angle is increased by the tester through the back leaning backwards, the high-pressure angle is tested to be 116 degrees, and the maximum offset angle is calculated to be 7 degrees; in practical application, the backrest has certain toughness, and the inclination angle can be increased along with the leaning of a user, so that buffer is provided for the backrest support, the damage of the backrest support is reduced, the maximum deflection angle is the limit of the toughness of the backrest, if the leaning pressure is increased again, the backrest support is rapidly damaged, and the damage to the backrest is larger when the leaning pressure is in the limit of the toughness of the backrest, therefore, a pressure threshold value is required to be set, and the deflection angle of the backrest is prevented from reaching the limit; the formula g= (gmax+gmin)/2 is to make the offset angle at half the limit value, so that it is ensured that the toughness of the back support can play a role, and the wear is minimal; the wear angle g= (1 ° +7 °)/2=4° is calculated, and the support pressure at the lean angle=4° is 153N, that is, the pressure threshold value is 153N.
Step S202, detecting a pressure relation function of shaking to supporting pressure at different points on a seat back of a user;
step S202 includes the following sub-steps:
step S2021, marking the first, second, third, fourth, and fifth detection points as pressure detection points;
step S2022, sequentially applying pressure to the pressure detection points such that the leaning angle=the high pressure angle, recording the value of the pressure applied at this time, and marking as the pressing pressure;
Step S2023, reducing the pressing pressure by a value of shaking the first pressure, and marking the reduced pressing pressure as a low-pressure; immediately increasing the shaking first pressure after the shaking is reduced, and using the shaking first pressure to simulate shaking of a human body, and continuing the first test time; calculating the pressurizing pressure-low pressure, and marking the calculation result as shaking pressure;
Step S2024, detecting the maximum value and the minimum value of the leaning angle in the first test time, respectively marking the maximum value and the minimum value as a first angle and a second angle, calculating the difference between the first angle and the second angle, and marking the difference as a shaking angle;
In the embodiment, the third detection point is taken as an example to explain the process of obtaining the pressure relation function, and the process of obtaining the pressure relation function of the rest pressure detection points is the same as the process of obtaining the pressure relation function of the third detection point, so that the description is not repeated in detail in the embodiment; when the leaning angle=117° is obtained when the pressing pressure is 187N, the smaller the shaking first pressure is, the higher the accuracy of the pressure relation function is, and in order to facilitate data display, the shaking first pressure is set to 10N, the low pressure is 182N after the shaking first pressure is reduced, and the human body shaking process is simulated through cyclic pressing of 187N and 177N; the first test time is set to be 10s for enabling the shaking pressure to reach the maximum shaking angle under the action of toughness on the seat backrest, and the change range of the leaning angle within 10s is (116.5 degrees, 117 degrees) through continuous monitoring, wherein the first angle is 117 degrees, the second angle is 116.5 degrees, and the shaking angle is calculated to be 0.3 degrees;
Step S2025, judging whether the low pressure is equal to zero, if so, outputting a cycle end signal; if the low pressure is not equal to zero, reducing the shaking first pressure again on the basis of the low pressure and recording the shaking angle;
Referring to fig. 3, step S2026 is performed to test the shaking pressure and the shaking angle of all the pressure detection points, and a rectangular coordinate system is established for the first detection point, the second detection point, the third detection point, the fourth detection point and the fifth detection point by taking the shaking pressure as the X axis and the shaking angle as the Y axis, and is respectively marked as a first coordinate system, a second coordinate system, a third coordinate system, a fourth coordinate system and a fifth coordinate system, which are collectively referred to as a pressure angle coordinate system; recording the shaking pressure and the shaking angle into a corresponding pressure angle coordinate system;
In specific implementation, if the low pressure is 177N and is not zero, the low pressure is reduced by 10N again to obtain 167N and shake simulation is performed for 10s again, the shake angles are recorded to be 0.8 °, and the cyclic judgment is performed until a cyclic end signal is output, at this time, shake pressures in the test result are sequentially 10N, 20N, 30N, 40N, 50N, 60N, 70N, 80N, 90N, 100N, 110N, 120N, 130N, 140N, 150N, 160N, 170N, 180N and 187N, corresponding shake angles are sequentially 0.3 °,0.8 °, 1.1 °, 1.5 °, 1.9 °, 2.1 °, 2.4 °, 2.7 °, 2.8 °, 3.1 °, 3.4 °, 3.8 °, 4.6 °,5 °, 5.4 °, 5.9 °, 6.4 ° and 7 ° in sequence, the pressure angle coordinate systems are obtained, the pressure angle coordinate systems are integrated, the coordinate systems are marked as an integrated coordinate system, the coordinate systems are the same as the integrated coordinate systems, the detection points shown in the left to right, the coordinate system is the fifth coordinate system, and the coordinate system is the same as the first coordinate system, the color detection point, the fifth coordinate system, and the coordinate system is the corresponding to the detection point, and the fourth coordinate system is shown in sequence;
step S2027, performing exponential regression on the pressure angle coordinate system to obtain fitting functions of the first coordinate system, the second coordinate system, the third coordinate system, the fourth coordinate system and the fifth coordinate system, which are marked as a bottom relationship function, a middle-lower relationship function, a middle relationship function, an upper-middle relationship function and a top relationship function in sequence, and are collectively called a pressure relationship function;
In specific implementation, the bottom relation function is obtained by exponential regression ; The middle-lower relationship function is; The middle relation function is; The middle-upper relationship function is; The top relationship function is; Wherein, X1 to X5 are the shaking pressure obtained by detecting the first detection point to the fifth detection point respectively, Y1 to Y5 are the shaking angles corresponding to the first detection point to the second detection point respectively;
Step S203, searching a new supporting point position on the seat back and supporting the seat back;
Step S203 includes the following sub-steps:
Step S2031, acquiring a supporting pressure when a user uses, and marking the supporting pressure as a using pressure;
step S2032, comparing the usage pressure with a pressure threshold, and if the usage pressure is less than the pressure threshold, outputting a support-free signal; if the using pressure is greater than or equal to the pressure threshold, outputting a signal needing to be supported;
In practical application, when a user normally uses the device, if the inclination angle is lower than 120 degrees, the pressure threshold value is difficult to trigger, so that under normal conditions, the use pressure is higher than the pressure threshold value and occurs when the inclination angle of the seat back is larger, and at the moment, the seat support piece can normally extend to the ground to provide supporting force; the using pressure is 163N, the using pressure is larger than the pressure threshold value through comparison, and a signal needing to be supported is output;
step S2033, if the support signal is output, analyzing the optimal support point of the seat back by the pressure relation function and the back pressure obtained by detecting the pressure detection point;
Step S2034, the backrest pressure includes a bottom pressure, a middle-lower pressure, a middle pressure, an upper-upper pressure, and a top pressure;
step S2035, detecting whether shake exists, and if not, outputting a shake-free signal; if the shaking exists, outputting a shaking signal;
step S2036, if the shake-free signal is output, marking a detection point corresponding to the maximum value of the backrest pressure as an optimal supporting point;
Step S2037, if a shake signal is output, detecting a shake bottom pressure through a first detection point, detecting a shake middle pressure through a second detection point, detecting a shake middle pressure through a third detection point, detecting a shake upper pressure through a fourth detection point, and detecting a shake top pressure through a fifth detection point;
Step S2038, substituting the shaking bottom pressure into a bottom relation function, and marking the calculated result as a bottom influence value; substituting the shaking middle-lower pressure into a middle-lower relation function, and marking the calculated result as a middle-lower influence value; substituting the shaking middle pressure into a middle relation function, and marking the calculated result as a middle influence value; substituting the upper middle pressure in the shaking into the upper middle relation function, and marking the calculated result as an upper middle influence value; substituting the shaking top pressure into a top relation function, and marking the calculated result as a top influence value; the bottom influence value, the middle-lower influence value, the middle-upper influence value and the top influence value are collectively called point position influence values;
step S2039, searching the maximum value in the point position influence values, marking the maximum influence value, and marking the detection point corresponding to the maximum influence value as the optimal supporting point;
In specific implementation, the existence of shake is detected, a shake signal is output, the bottom pressure is 98N, the middle-lower pressure is 82N, the middle pressure is 66N, the middle-upper pressure is 43N, the top pressure is 31N, and x1=98n is substituted into X2=82n substitutionX3=66N substitutionX4=43n substitutionX5=31n substitutionThe point location influence values are calculated to be 1.77, 1.47, 1.78, 1.66 and 1.81 in sequence, and the maximum influence value is obtained by searching to be 1.81, namely a fifth detection point is the optimal supporting point; in practical application, the larger the calculated shaking angle of the detection point is, the larger the influence on the backrest support is, so that the detection point corresponding to the maximum value is selected as the optimal support point.
S3, regulating and controlling the intelligent seat; step S3 comprises the following sub-steps:
Step S301, adjusting and controlling a seat support;
step S301 comprises the following sub-steps:
Step S3011, obtaining the pressure born by the optimal supporting point, and marking the pressure as point position stress;
step S3012, moving the seat support to an optimal supporting point, and controlling the electric locking structure to lock;
Step S3013, supporting the seat back by the seat support member, wherein the supporting force provided by the seat support member is equal to the point position stress;
in the implementation, the point stress is 106N through the detection of the fifth detection point, and the seat support piece is moved to the fifth detection point to provide 106N supporting force for the seat backrest;
Referring to fig. 4, step S302, a seat back is supported, a seat support is mounted on the seat back, the seat support and the seat back are slidably connected through an electric slide rail, and are movable and fixed, and an electric locking structure is disposed in the electric slide rail and is used for locking a supporting position of the seat support;
in an implementation, the seat support is shown in fig. 4.
Embodiment 2, referring to fig. 5, in a second aspect, the present application provides an intelligent seat position control system based on sitting posture detection, which includes a data acquisition module, a stress analysis module, and a seat control module; the data acquisition module and the seat regulation and control module are respectively connected with the stress analysis module in a data way;
The data acquisition module is used for acquiring the backrest pressure of the backrest, the supporting pressure of the backrest supporting piece and the inclination angle of the backrest; the data acquisition module comprises a pressure acquisition unit and an inclination acquisition unit, and the pressure acquisition unit is used for acquiring the back pressure and the supporting pressure; the inclination acquisition unit is used for acquiring the inclination angle of the seat back;
the pressure acquisition unit is configured with a pressure acquisition strategy comprising:
Selecting a first test number of testers to sit on the intelligent seat in the same sitting posture, detecting the contact area of the seat backrest and the human body, and marking the contact area as a stress area;
Drawing a central line in the vertical direction based on the seat backrest, and acquiring an intersection point of the central line and the bottommost part of the stress area, and naming the intersection point as a first detection point;
designating the midpoint of the straight line at the top of the seat back as the midpoint of the top, and connecting the first detection point with the midpoint of the top to obtain a stressed straight line;
Marking the midpoint of the stressed straight line as a first midpoint, and marking the first midpoint and the top midpoint as a third detection point and a fifth detection point respectively;
Marking the midpoint of the straight line between the first detection point and the third detection point as a second detection point, and marking the midpoint of the straight line between the third detection point and the fifth detection point as a fourth detection point;
The intelligent force measuring device is installed at the first detection point, the second detection point, the third detection point, the fourth detection point and the fifth detection point; an intelligent force measuring device is arranged at the backrest support;
Detecting bottom pressure through a first detection point, detecting middle-lower pressure through a second detection point, detecting middle pressure through a third detection point, detecting middle-upper pressure through a fourth detection point, detecting top pressure through a fifth detection point, and detecting supporting pressure through an intelligent force measuring device at a backrest supporting piece;
the stress analysis module is used for analyzing the backrest pressure, the supporting pressure and the inclination angle and judging whether the sitting posture of the user has abrasion to the intelligent seat or not; the stress analysis module comprises a factory threshold determination unit, a shaking factor analysis unit and a supporting point position analysis unit, wherein the factory threshold determination unit is used for determining the pressure threshold of the intelligent seat; the shaking factor analysis unit is used for detecting a pressure relation function of shaking to supporting pressure at different points on the seat back of a user; the support point position analysis unit is used for searching a new support point position on the seat back and supporting the seat back;
The factory threshold determining unit is configured with a factory threshold determining policy, and the factory threshold determining policy includes:
Acquiring the current inclination angle of the intelligent seat, marking the current inclination angle as an initial angle, wherein the inclination angle is an included angle between a seat back and a seat cushion; after the tester sits on the intelligent seat in the first sitting posture, acquiring the inclination angle again, and marking the inclination angle as a leaning angle;
subtracting the initial angle from the leaning angle, and marking the calculated value as an initial offset angle;
Increasing the pressure applied to the seat back so that the leaning angle is increased, stopping the pressure when the leaning angle is not changed any more, and recording the leaning angle at the moment and marking the leaning angle as a high-pressure angle;
subtracting the initial angle from the high-voltage angle, and marking the calculated value as a maximum offset angle;
The wear angle is calculated by the formula g= (gmax+gmin)/2; wherein G is a wear angle, gmax is a maximum offset angle, gmin is an initial offset angle;
Obtaining a support pressure at a lean angle = wear angle, labeled as a pressure threshold;
The shaking factor analysis unit is configured with a shaking factor analysis strategy, and the shaking factor analysis strategy comprises:
Marking the first detection point, the second detection point, the third detection point, the fourth detection point and the fifth detection point as pressure detection points;
sequentially applying pressure to the pressure detection points, so that the leaning angle=high-pressure angle, recording the value of the pressure applied at the moment, and marking the value as the pressing pressure;
reducing the pressing pressure, wherein the reduced value is shaking the first pressure, and marking the reduced pressing pressure as low-pressure; immediately increasing the shaking first pressure after the shaking is reduced, simulating the shaking of a human body, and continuously testing for a first test time; calculating the pressurizing pressure-low pressure, and marking the calculation result as shaking pressure;
detecting the maximum value and the minimum value of the leaning angle in the first test time, respectively marking the maximum value and the minimum value as a first angle and a second angle, calculating the difference value between the first angle and the second angle, and marking the difference value as a shaking angle;
judging whether the low pressure is equal to zero, and if the low pressure is equal to zero, outputting a circulation ending signal; if the low pressure is not equal to zero, reducing the shaking first pressure again on the basis of the low pressure and recording the shaking angle;
Testing shaking pressure and shaking angles of all pressure detection points, taking the shaking pressure as an X axis and the shaking angles as a Y axis aiming at the first detection point, the second detection point, the third detection point, the fourth detection point and the fifth detection point, and respectively marking the shaking pressure as a first coordinate system, a second coordinate system, a third coordinate system, a fourth coordinate system and a fifth coordinate system which are collectively called a pressure angle coordinate system; recording the shaking pressure and the shaking angle into a corresponding pressure angle coordinate system;
Performing exponential regression on the pressure angle coordinate system to obtain fitting functions of a first coordinate system, a second coordinate system, a third coordinate system, a fourth coordinate system and a fifth coordinate system, and sequentially marking the fitting functions as a bottom relation function, a middle-lower relation function, a middle relation function, an upper-middle relation function and a top relation function, wherein the fitting functions are collectively called a pressure relation function;
The supporting point position analysis unit is configured with a supporting point position analysis strategy, and the supporting point position analysis strategy comprises:
Acquiring the supporting pressure of a user during use, and marking the supporting pressure as the using pressure;
Comparing the using pressure with a pressure threshold, and outputting a support-free signal if the using pressure is smaller than the pressure threshold; if the using pressure is greater than or equal to the pressure threshold, outputting a signal needing to be supported;
If the support signal is output, analyzing the optimal support point of the seat back by the back pressure obtained through the pressure relation function and the pressure detection point detection;
The backrest pressure comprises bottom pressure, middle-lower pressure, middle-upper pressure and top pressure;
detecting whether shaking exists or not, and outputting a shaking-free signal if shaking does not exist; if the shaking exists, outputting a shaking signal;
if the shake-free signal is output, marking a detection point corresponding to the maximum value of the backrest pressure as an optimal supporting point;
If the shaking signal exists in the output, detecting shaking bottom pressure through a first detection point, detecting shaking middle lower pressure through a second detection point, detecting shaking middle pressure through a third detection point, detecting shaking middle upper pressure through a fourth detection point, and detecting shaking top pressure through a fifth detection point;
Substituting the shaking bottom pressure into a bottom relation function, and marking the calculated result as a bottom influence value; substituting the shaking middle-lower pressure into a middle-lower relation function, and marking the calculated result as a middle-lower influence value; substituting the shaking middle pressure into a middle relation function, and marking the calculated result as a middle influence value; substituting the upper middle pressure in the shaking into the upper middle relation function, and marking the calculated result as an upper middle influence value; substituting the shaking top pressure into a top relation function, and marking the calculated result as a top influence value; the bottom influence value, the middle-lower influence value, the middle-upper influence value and the top influence value are collectively called point position influence values;
searching the maximum value in the point position influence values, marking the maximum influence value, and marking the detection point corresponding to the maximum influence value as the optimal supporting point;
The seat regulation and control module is used for regulating and controlling the intelligent seat; the seat regulation and control module comprises a support regulation and control unit and a seat support piece; the support regulating and controlling unit is used for regulating and controlling the seat support; the seat support is used for supporting the seat backrest, the seat support is of a telescopic structure, the seat support is mounted on the seat backrest, the seat support and the seat backrest are connected in a sliding manner through an electric sliding rail and can move and be fixed, an electric locking structure is arranged in the electric sliding rail and is used for locking the supporting position of the seat support, the electric locking structure and the electric sliding rail are both electric devices, the seat support is of an electric telescopic rod, and the electric locking structure, the electric sliding rail and the seat support are respectively connected with the supporting regulation and control unit through electric signals; the supporting regulation and control unit is used for moving the seat support piece to an optimal supporting point, controlling the electric locking structure to lock, and then adjusting the length of the seat support piece to enable the seat support piece to be in contact with the ground so as to achieve a supporting function.
In the foregoing embodiments of the present application, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media having computer-usable program code embodied therein. The storage medium may be implemented by any type or combination of volatile or nonvolatile memory devices, such as static random access memory (Static Random Access Memory, SRAM), electrically erasable programmable read-only memory (ELECTRICALLY ERASABLE PROGRAMMABLE READ-only memory, EEPROM), erasable programmable read-only memory (Erasable Programmable Read Only Memory, EPROM), programmable read-only memory (Programmable Read-only memory, PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk, or optical disk. These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. The above-described apparatus embodiments are merely illustrative, for example, the division of the units is merely a logical function division, and there may be other manners of division in actual implementation, and for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some communication interface, device or unit indirect coupling or communication connection, which may be in electrical, mechanical or other form.
Claims (10)
1. The intelligent seat position regulation and control system based on sitting posture detection is characterized by comprising a data acquisition module, a stress analysis module and a seat regulation and control module; the data acquisition module and the seat regulation and control module are respectively connected with the stress analysis module in a data way;
The data acquisition module is used for acquiring the back pressure of the seat back, the supporting pressure of the back supporting piece and the inclination angle of the seat back;
The stress analysis module is used for analyzing the backrest pressure, the supporting pressure and the inclination angle and judging whether the sitting posture of the user has abrasion to the intelligent seat or not;
The seat regulation and control module is used for regulating and controlling the intelligent seat.
2. The intelligent seat position control system based on sitting posture detection of claim 1, wherein the data acquisition module comprises a pressure acquisition unit and an inclination acquisition unit, the pressure acquisition unit is used for acquiring backrest pressure and supporting pressure; the inclination acquisition unit is used for acquiring the inclination angle of the seat back.
3. The intelligent seat position control system based on sitting posture detection of claim 1, wherein the pressure acquisition unit is configured with a pressure acquisition strategy comprising:
Selecting a first test number of testers to sit on the intelligent seat in a first sitting posture, detecting the contact area of the seat backrest and the human body, and marking the contact area as a stress area; the first sitting posture is that the back of a tester is attached to the backrest of the seat, and the buttocks are seated on the seat cushion;
Drawing a central line in the vertical direction based on the seat backrest, and acquiring an intersection point of the central line and the bottommost part of the stress area, and naming the intersection point as a first detection point;
designating the midpoint of the straight line at the top of the seat back as the midpoint of the top, and connecting the first detection point with the midpoint of the top to obtain a stressed straight line;
Marking the midpoint of the stressed straight line as a first midpoint, and marking the first midpoint and the top midpoint as a third detection point and a fifth detection point respectively;
Marking the midpoint of the straight line between the first detection point and the third detection point as a second detection point, and marking the midpoint of the straight line between the third detection point and the fifth detection point as a fourth detection point;
The intelligent force measuring device is installed at the first detection point, the second detection point, the third detection point, the fourth detection point and the fifth detection point; an intelligent force measuring device is arranged at the backrest support;
The bottom pressure is detected through a first detection point, the middle pressure is detected through a second detection point, the middle pressure is detected through a third detection point, the middle pressure is detected through a fourth detection point, the top pressure is detected through a fifth detection point, and the supporting pressure is detected through an intelligent force measuring device at the backrest supporting piece.
4. The intelligent seat position regulation and control system based on sitting posture detection according to claim 3, wherein the stress analysis module comprises a factory threshold determination unit, a shaking factor analysis unit and a supporting point position analysis unit, wherein the factory threshold determination unit is used for determining a pressure threshold of the intelligent seat; the shaking factor analysis unit is used for detecting a pressure relation function of shaking to supporting pressure at different points on the seat backrest of a user; the support point position analysis unit is used for searching a new support point position on the seat back and supporting the seat back.
5. The intelligent seat position regulation and control system based on sitting posture detection of claim 4, wherein the factory threshold determination unit is configured with a factory threshold determination policy, the factory threshold determination policy comprising:
Acquiring a current inclination angle of the intelligent seat, and marking the current inclination angle as an initial angle, wherein the inclination angle is an included angle between a seat back and a seat cushion; after the tester sits on the intelligent seat in the first sitting posture, acquiring the inclination angle again, and marking the inclination angle as a leaning angle;
subtracting the initial angle from the leaning angle, and marking the calculated value as an initial offset angle;
Increasing the pressure applied to the seat back so that the leaning angle is increased, stopping the pressure when the leaning angle is not changed any more, and recording the leaning angle at the moment and marking the leaning angle as a high-pressure angle;
subtracting the initial angle from the high-voltage angle, and marking the calculated value as a maximum offset angle;
The wear angle is calculated by the formula g= (gmax+gmin)/2; wherein G is a wear angle, gmax is a maximum offset angle, gmin is an initial offset angle;
support pressure at lean angle = wear angle is obtained, labeled as pressure threshold.
6. The intelligent seat position control system based on sitting posture detection of claim 5, wherein the sway factor analysis unit is configured with a sway factor analysis strategy comprising:
Marking the first detection point, the second detection point, the third detection point, the fourth detection point and the fifth detection point as pressure detection points;
sequentially applying pressure to the pressure detection points, so that the leaning angle=high-pressure angle, recording the value of the pressure applied at the moment, and marking the value as the pressing pressure;
Reducing the pressing pressure, wherein the reduced value is shaking the first pressure, and marking the reduced pressing pressure as low-pressure; immediately increasing the shaking first pressure after the reduction, and continuing the first test time; calculating the pressurizing pressure-low pressure, and marking the calculation result as shaking pressure;
detecting the maximum value and the minimum value of the leaning angle in the first test time, respectively marking the maximum value and the minimum value as a first angle and a second angle, calculating the difference value between the first angle and the second angle, and marking the difference value as a shaking angle;
judging whether the low pressure is equal to zero, and if the low pressure is equal to zero, outputting a circulation ending signal; if the low pressure is not equal to zero, reducing the shaking first pressure again on the basis of the low pressure and recording the shaking angle;
Testing shaking pressure and shaking angles of all pressure detection points, taking the shaking pressure as an X axis and the shaking angles as a Y axis aiming at the first detection point, the second detection point, the third detection point, the fourth detection point and the fifth detection point, and respectively marking the shaking pressure as a first coordinate system, a second coordinate system, a third coordinate system, a fourth coordinate system and a fifth coordinate system which are collectively called a pressure angle coordinate system; recording the shaking pressure and the shaking angle into a corresponding pressure angle coordinate system;
And performing exponential regression on the pressure angle coordinate system to obtain fitting functions of the first coordinate system, the second coordinate system, the third coordinate system, the fourth coordinate system and the fifth coordinate system, wherein the fitting functions are sequentially marked as a bottom relation function, a middle-lower relation function, a middle relation function, an upper-middle relation function and a top relation function, and are collectively called a pressure relation function.
7. The intelligent seat position control system based on sitting posture detection of claim 6, wherein the support point position analysis unit is configured with a support point position analysis strategy comprising:
Acquiring the supporting pressure of a user during use, and marking the supporting pressure as the using pressure;
Comparing the using pressure with a pressure threshold, and outputting a support-free signal if the using pressure is smaller than the pressure threshold; if the using pressure is greater than or equal to the pressure threshold, outputting a signal needing to be supported;
If the support signal is output, analyzing the optimal support point of the seat back by the back pressure obtained through the pressure relation function and the pressure detection point detection;
the backrest pressure comprises bottom pressure, middle-lower pressure, middle-upper pressure and top pressure;
detecting whether shaking exists or not, and outputting a shaking-free signal if shaking does not exist; if the shaking exists, outputting a shaking signal;
if the shake-free signal is output, marking a detection point corresponding to the maximum value of the backrest pressure as an optimal supporting point;
If the shaking signal exists in the output, detecting shaking bottom pressure through a first detection point, detecting shaking middle lower pressure through a second detection point, detecting shaking middle pressure through a third detection point, detecting shaking middle upper pressure through a fourth detection point, and detecting shaking top pressure through a fifth detection point;
Substituting the shaking bottom pressure into a bottom relation function, and marking the calculated result as a bottom influence value; substituting the shaking middle-lower pressure into a middle-lower relation function, and marking the calculated result as a middle-lower influence value; substituting the shaking middle pressure into a middle relation function, and marking the calculated result as a middle influence value; substituting the upper middle pressure in the shaking into the upper middle relation function, and marking the calculated result as an upper middle influence value; substituting the shaking top pressure into a top relation function, and marking the calculated result as a top influence value; the bottom influence value, the middle-lower influence value, the middle-upper influence value and the top influence value are collectively called point position influence values;
Searching the maximum value in the point position influence values, marking the maximum influence value, and marking the detection point corresponding to the maximum influence value as the optimal supporting point.
8. The intelligent seat position control system based on sitting posture detection of claim 7, wherein the seat control module comprises a support control unit and a seat support; the support regulating and controlling unit is used for regulating and controlling the seat support; the seat support is used for supporting a seat backrest, the seat support is arranged to be of a telescopic structure, the seat support is arranged on the seat backrest, the seat support and the seat backrest are connected in a sliding mode through an electric sliding rail, an electric locking structure is arranged in the electric sliding rail, and the electric locking structure is used for locking the supporting position of the seat support.
9. The intelligent seat position control system based on sitting posture detection of claim 8, wherein the support control unit is configured to move the seat support to an optimal support point and control the electric locking mechanism to lock.
10. A method for a smart seat position control system based on sitting posture detection as claimed in any one of claims 1 to 9, comprising the steps of:
Step S1, collecting the back pressure of a seat back, the supporting pressure of a back supporting piece and the inclination angle of the seat back;
s2, analyzing the back pressure, the supporting pressure and the inclination angle, and judging whether the sitting posture of the user has abrasion to the intelligent seat or not;
And S3, regulating and controlling the intelligent seat.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2177132A1 (en) * | 2008-10-20 | 2010-04-21 | Sedus Stoll AG | Device for adjusting seat angles and chair |
| CN107089170A (en) * | 2017-04-19 | 2017-08-25 | 京东方科技集团股份有限公司 | Seat system |
| CN211722459U (en) * | 2020-01-09 | 2020-10-23 | 上海理工大学 | An office chair |
| CN115782709A (en) * | 2023-01-31 | 2023-03-14 | 张家港市宏博机械有限公司 | Automatic change seat adjustment system |
-
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- 2024-03-19 CN CN202410309972.2A patent/CN117898576B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2177132A1 (en) * | 2008-10-20 | 2010-04-21 | Sedus Stoll AG | Device for adjusting seat angles and chair |
| CN107089170A (en) * | 2017-04-19 | 2017-08-25 | 京东方科技集团股份有限公司 | Seat system |
| CN211722459U (en) * | 2020-01-09 | 2020-10-23 | 上海理工大学 | An office chair |
| CN115782709A (en) * | 2023-01-31 | 2023-03-14 | 张家港市宏博机械有限公司 | Automatic change seat adjustment system |
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