CN113616033A - Hardness-adaptive mattress and intelligent regulation and control method thereof - Google Patents
Hardness-adaptive mattress and intelligent regulation and control method thereof Download PDFInfo
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- CN113616033A CN113616033A CN202111026217.6A CN202111026217A CN113616033A CN 113616033 A CN113616033 A CN 113616033A CN 202111026217 A CN202111026217 A CN 202111026217A CN 113616033 A CN113616033 A CN 113616033A
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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
- A47C27/00—Spring, stuffed or fluid mattresses or cushions specially adapted for chairs, beds or sofas
- A47C27/08—Fluid mattresses or cushions
- A47C27/081—Fluid mattresses or cushions of pneumatic type
- A47C27/083—Fluid mattresses or cushions of pneumatic type with pressure control, e.g. with pressure sensors
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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
- A47C27/00—Spring, stuffed or fluid mattresses or cushions specially adapted for chairs, beds or sofas
- A47C27/22—Spring, stuffed or fluid mattresses or cushions specially adapted for chairs, beds or sofas with both fibrous and foamed material inlays
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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
- A47C31/123—Means, e.g. measuring means for adapting chairs, beds or mattresses to the shape or weight of persons for beds or mattresses
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Abstract
The invention provides a hardness-adaptive mattress, which comprises a plurality of regional air spring groups, wherein the hardness and the rigidity of each regional air spring group can be adjusted in real time according to the spine form of a user in different prone positions to achieve the spine form close to a natural standing position, the problems that the size is large and the hardness adjustment cannot guarantee the spine form of the prone position when an existing mattress air bag is used for laying a cushion layer are solved, the supporting force and the height of each region can be changed by adjusting the air spring groups, the requirements of the natural spine form in different prone positions are met, the adjustment fineness is high, and the comfort level is high. The invention also provides an intelligent regulation and control method suitable for the softness and hardness self-adaptive mattress, which presets a related algorithm through the arrangement of the prone position and spine shape recognition module, the air spring rigidity regulation module and the processing module, so that the system can learn autonomously, the mattress can be intelligently regulated, the setting before sleep and interactive operation are not needed, and the intelligent regulation and control are safe and convenient.
Description
Technical Field
The invention belongs to the technology of the field of mattresses, and particularly relates to a hardness-softness adaptive mattress and an intelligent regulation and control method thereof.
Background
The hardness of the mattress has direct influence on the sleeping quality and the sleeping comfort of the human body, and especially has important influence on the spinal form and the accessory soft tissues thereof. At present, the research of the mattress with adjustable hardness mainly focuses on the air cushion mattress used in the medical care field, the air cushion mattress mainly uses strip-shaped air bags fixed along the width direction of the mattress, odd-numbered air bags are connected in series to form an air path, even-numbered air bags are connected in series to form an air path, two paths of air bags are circularly and alternately inflated and deflated in the working process, and meanwhile, the inflation pressure of the air bags can be adjusted through an air pump. In addition, the hardness-adjustable mattress for household use mainly uses block-shaped air bags, three cubic air bags are arranged in the contact area of the mattress and the waist, back and hip parts of a human body, and the hardness of the air bags in the waist, back and hip parts is respectively controlled by a control system so as to achieve the purpose of adjusting the hardness. However, the air bags are large in size and embedded in bedding materials such as sponge, steel springs are still used as core layer materials, the distribution of the interface pressure of a 'human-mattress' is changed only by adjusting the hardness of the air bags in the partial areas of the bedding layers, the air bags which deform vertically are used as supporting structures besides the massive air bags as the supporting structures, the air bags are arranged on the core layer of the mattress in a matrix mode, namely the air bag layers and the steel springs exist in one mattress at the same time, and the air bags are still used as the bedding layers.
Research shows that the shape of the prone position spine of a human body is mainly influenced by the supporting layer and has little relation with the bedding layer, so that the existing mattress for adjusting the hardness of the bedding layer can not ensure the adjustment of the shape of the prone position spine.
Disclosure of Invention
The invention provides a hardness-self-adaptive mattress, which solves the problems that an air bag in the prior art is large in size and the regulation of the form of a prone position spine cannot be guaranteed by regulating the hardness of a bedding layer, and provides a mattress which can realize the regulation of the supporting force and the height of each region by regulating an air spring group so as to meet the requirements of natural spine forms in different prone positions, and is high in regulation fineness and high in comfort level.
The invention also provides an intelligent regulation and control method suitable for the hardness-softness adaptive mattress, which realizes intelligent regulation of the mattress by establishing the mapping relation between the input signal and the output signal through supervised machine learning, does not need to carry out pre-sleep setting and interactive operation, and is safe and convenient.
A softness adaptive mattress, characterized by comprising: the air spring device comprises a top bedding layer and a bottom supporting layer, wherein a plurality of areas of air spring groups are arranged between the top bedding layer and the bottom supporting layer according to human body segments in a separated manner, supporting sponges which play an equivalent adjusting role are arranged between the top bedding layer and the bottom supporting layer in areas except the air spring groups,
the air spring group is connected with the prone position and spine shape recognition module and the air spring rigidity adjusting module, and the prone position and spine shape recognition module and the air spring rigidity adjusting module are both connected with the processing module;
the prone position and spine shape recognition module is used for recognizing the prone position of a human body on the mattress and the corresponding spine shape and sending signals of the prone position and the spine shape to the processing module;
the air spring stiffness adjusting module is used for adjusting the stiffness and the height of the air spring group in each area of the mattress, so that the hardness of each area of the mattress and the shape of a human prone spine are adjusted;
the processing module is used for judging the posture of the prone position and the spine according to the prone position and spine shape signals sent by the prone position and spine shape recognition module; and the information of the prone position and the shape of the spine is fed back to the air spring rigidity adjusting module for adjustment.
Furthermore, the air spring groups are arranged in a left-right symmetrical array along the length direction of the mattress according to the human body percentile size of each segment of the human body, and comprise a left shoulder area air spring group, a left upper back area air spring group, a left lower back air spring group, a left waist area air spring group and a left hip area air spring group; the air spring group comprises a middle shoulder area air spring group, a middle upper back area air spring group, a middle lower back area air spring group, a middle waist area air spring group and a middle hip area air spring group; the air spring group comprises a right shoulder area air spring group, a right upper back area air spring group, a right lower back area air spring group, a right waist area air spring group and a right hip area air spring group; also included are a head zone air spring set and a leg zone air spring set.
Furthermore, the prone position and spine shape recognition module comprises a prone position recognition submodule and a spine shape recognition submodule, and the prone position and spine shape signal comprises prone position type information and a spine shape discrimination result;
the prone position recognition submodule is used for recognizing the prone position of a user on the mattress, the recognition types comprise a left side lying type, a right side lying type and a back lying type, and the prone position recognition submodule feeds back the prone position type to the spine form recognition submodule;
the spine form recognition submodule is used for judging whether the spine form under the prone position type recognized by the prone position recognition submodule meets the requirement of a natural curve or not according to the height of the air spring group in each region of the mattress, and feeding back the spine form judgment result to the processing module.
Preferably, the air spring stiffness adjusting module comprises an air spring air pressure measuring submodule, an air pressure judging submodule and an air source management submodule;
the air spring air pressure measuring submodule is used for measuring real-time air pressure in each area of the mattress and feeding real-time air pressure data back to the air pressure judging submodule;
the air pressure judgment submodule is used for judging whether the real-time air pressure in the air spring group in each area of the current mattress meets the requirement of the natural prone position spine form of a user or not and feeding back the air pressure judgment result to the processing module;
and the air source management submodule is used for controlling the air spring groups in each region of the mattress to inflate, deflate and maintain pressure according to the instruction of the processing module, and adjusting the rigidity and height of the air spring groups in each region of the mattress.
Further, the air spring air pressure measurement submodule comprises air pressure sensors respectively arranged in air spring groups of each region, the air pressure sensors are connected with an air pressure judgment submodule, the air source management submodule comprises an air source, the air source is connected with the input end of a main pipeline, the other end of the main pipeline is connected with a main path direct connection electromagnetic valve and then is connected with a two-position three-way electromagnetic valve, the two-position three-way electromagnetic valve is provided with a plurality of connecting pipelines, the connecting pipelines are connected with air charging and discharging ports of the air spring groups, branch path direct connection electromagnetic valves are respectively arranged on the connecting pipelines, and the main path direct connection electromagnetic valve, the two-position three-way electromagnetic valve and the branch path direct connection electromagnetic valve are all connected with the air source management submodule.
Preferably, the bedding layer is one or more layers of soft and elastic materials, and the supporting sponge is polyurethane foam sponge.
The invention also provides an intelligent regulation and control method of the hardness-softness adaptive mattress, which comprises the following steps:
step 1: when the user does not lie, the lying posture recognition submodule recognizes the lying posture state of the human body and feeds back the lying posture type to the spine shape recognition submodule;
step 2: the spine form recognition submodule judges whether the spine form under the prone position type recognized by the prone position recognition submodule meets the requirement of a natural curve or not according to the height of the air spring group in each region of the mattress, and feeds back the spine form judgment result to the processing module;
and step 3: the air spring air pressure measuring submodule measures real-time air pressure in an air spring group in each area of the mattress and feeds real-time air pressure data back to the air pressure judging submodule processing module; the air pressure judgment sub-module is used for judging whether the real-time air pressure in the air spring group in each area of the current mattress meets the requirement of the natural prone position spine form of a user or not and feeding back the air pressure judgment result to the processing module;
and 4, step 4: the processing module makes an instruction of inflating, deflating or maintaining pressure of the air spring group in each region of the mattress according to the spine form judgment result and the air pressure judgment result and sends the instruction to the air source management submodule;
step 5, the air source management submodule controls air spring modules in each region of the mattress to inflate, deflate or maintain pressure, and the rigidity and the height of the air spring modules in the regions are adjusted;
step 6: and (5) repeating the step (3) and the step (4) until the air pressure in each area of the air spring module of the mattress meets the requirement of the optimal spine form of the prone position.
Preferably, step 1 specifically comprises:
setting reference standards of air pressure ratio indexes in air spring groups corresponding to the left-side lying, the right-side lying and the back lying of a human body on a lying posture identification submodule, forming an air pressure ratio vector by the air pressure of the left-side air spring group and the air pressure of the right-side air spring group, wherein the air pressure ratio vector comprises a plurality of dimensionless numerical value elements, and calculating an air pressure ratio vector L1 norm R when a user does not lie down0The ratio vector of | | | and the pressure after lying down is L1 norm | | | R | |; if R | | | R0If yes, judging that the human body is in a supine posture; if R does not calculation>||R0If the human body is in the left side lying posture, judging whether the human body is in the left side lying posture; | R | non-conducting phosphor<||R0And | l, judging that the human body is in the right side lying posture.
Further preferably, step 2 specifically comprises:
the spine form recognition sub-module judges the height variation of the independent air spring groups in each area of the mattress after the human body is lying based on the corresponding relation between the air pressure variation rate and the height variation rate of the air spring groups, and extracts the vertical height difference value between the most convex point of the thoracic vertebra section, the most concave point of the lumbar vertebra section and the most convex point of the hip area, thereby tracing the spine forms of different lying postures.
Further, the specific algorithm of the processing module is as follows:
establishing a supervised deep learning network, and taking the vertical height difference between three key points of the highest convex point of the thoracic vertebra section, the lowest concave point of the lumbar vertebra section and the highest convex point of the buttocks of a human body when a user lies on the back as an input vector V of the deep learning networkSVHorizontal distance difference vector V between thoracic most convex point, lumbar most concave point and buttock most convex point of spine sagittal plane in standing posture of healthy human bodySHAs reference vector, and as basis for judging the form of supine spine, the supine vector VSVAnd the standing posture vector VSFormed discourse domain UsEstablishing a supine vector VSVSpace and standing posture vector VSHMapping relation of space;
calculating the height change according to the air pressure change of the air spring module in the waist, back and hip area of the mattress to construct an input vector VSVAnd universe of discourse UsV inSHComparing until VSVCan be matched with corresponding VSHThe system adjustment is finished;
establishing a supervised deep learning network, and taking the vertical height difference between three key points of the highest point of the thoracic vertebra segment, the lowest point of the lumbar vertebra segment and the highest point of the crotch of the side profile of a human body when a user lies on side as an input vector V of the deep learning networkLVWhen the healthy human body without scoliosis stands, the horizontal distance difference between the outer contours of the thoracic vertebra, the lumbar vertebra and the hip of the coronal plane of the spine forms a reference vector VLHThe supine vector V is used as the basis for judging the shape of the side-lying spineLVAnd the standing posture vector VLHFormed discourse domain ULEstablishing a lateral-lying vector VLVSpace and standing posture vector VLHMapping relation of space;
calculating the height change according to the air pressure change of the air spring module in the waist, back and hip area of the mattress to construct an input vector VLVAnd universe of discourse ULV inLHComparing until VLVCan be matched with corresponding VLHAnd the system adjustment is finished.
Compared with the prior art, the invention has the obvious improvements that:
the invention provides a hardness-adaptive mattress, solves the problems that an air bag in the prior art is large in size and the regulation of the form of a prone position spine cannot be guaranteed by regulating the hardness of a bedding layer, and provides a mattress which can realize the supporting force and height of each region by regulating an air spring group so as to meet the requirements of natural spine forms in different prone positions, and is high in regulation fineness and high in comfort level.
The invention also provides an intelligent regulation and control method suitable for the hardness-softness adaptive mattress, which intelligently regulates the mattress through autonomous learning without setting before sleep and interactive operation, is safe and convenient.
(1) The invention uses the air spring as the supporting structure of the mattress, and can change the hardness of the mattress by adjusting the inflation pressure of the air spring, thereby realizing the function that the mattress structure is suitable for more users.
(2) The invention can meet the requirements of different prone positions on the support hardness of the mattress by adjusting the inflation pressure of the air spring, thereby maintaining the natural human spine shape and improving the sleeping comfort and health.
(3) The invention is suitable for the human body structure by subdividing the adjusting area into 17 air spring groups, and has high adjusting precision and high comfort level.
(4) The sleeping posture is distinguished by the prone posture identifying submodule through the air pressure value of the spring group, the system automatically identifies the sleeping posture, the spine shape identifying submodule judges whether the spine shape under the prone posture type identified by the prone posture identifying submodule meets the requirement of a natural curve or not according to the height of the air spring group in each region of the mattress through autonomous learning, the system is intelligent and efficient, and manual operation is not needed.
(5) According to the invention, through the built-in sensing system and algorithm module, the prone position of the user and the difference degree between the current spine shape and the natural standing position are recognized in real time through a machine learning algorithm, and the rigidity and the height of the supporting layer of each region of the mattress are adjusted, so that the optimal prone position spine shape is achieved, the comfort level and the health of sleeping are ensured, and the function of protecting the spine is really achieved.
Drawings
FIG. 1 is a schematic view of a mattress according to the present invention;
FIG. 2 is a schematic sectional view of a mattress according to the present invention;
FIG. 3 is a schematic view of the arrangement of the support layers of the mattress of the present invention;
FIG. 4 is a schematic view of the connection of the air pressure control system of the mattress of the present invention;
FIG. 5 is a schematic block diagram of a mattress according to the present invention;
fig. 6 is a flow chart of the adjustment method of the mattress according to the invention.
Reference numerals:
1-a composite fabric layer, 2-a first bedding layer, 3-a second bedding layer, 4-a system control box, 5-a bottom supporting layer, 6-an air spring group and 7-a supporting sponge;
401-main pipeline, 402-main path straight-through electromagnetic valve, 403-two-position three-way electromagnetic valve, 404-air pressure sensor, 405-branch path straight-through electromagnetic valve;
601-a first zone, 602-a second zone, 603-a third zone, 604-a fourth zone, 605-a fifth zone, 606-a sixth zone;
4001-head region air spring group, 4002-left side shoulder air spring group, 4003-left side upper back air spring group, 4004-left side lower back air spring group, 4005-left side waist air spring group, 4006-left side hip air spring group, 4007-right side shoulder air spring group, 4008-right side upper back air spring group, 4009-right side lower back air spring group, 40010-right side waist air spring group, 40011-middle shoulder air spring group, 40012-middle upper back air spring group, 40013-middle lower back air spring group, 40014-middle waist air spring group, 40015-right side hip air spring group, 40016-middle side hip air spring group, 40017-leg air spring group.
Detailed Description
The following examples further describe the invention in detail with reference to the accompanying drawings.
As shown in fig. 1-6, the softness adaptive mattress and the intelligent regulation method thereof comprise a plurality of regions, and each region can increase or decrease the rigidity differently.
In the present embodiment, the number of the regions is 6, including the first region 601, the second region 602, the third region 603, the fourth region 604, the fifth region 605, and the sixth region 606, and appropriate support rigidity of the shoulder, the back, the waist, the hip, and the leg can be ensured in accordance with the head region, the shoulder region, the back region, the waist region, the hip region, and the leg region of the human body.
Fig. 1 is a schematic structural diagram of the mattress of the present invention, which includes a composite fabric layer 1, a first bedding layer 2, a second bedding layer 3, a system control box 4, a bottom supporting layer 5, an air spring layer 6 and a supporting sponge 7 for equivalent adjustment.
The composite fabric layer 1 of the mattress is quilted by common materials such as filling cotton and non-woven fabrics, the filling cotton comprises pure cotton fabric, doll cotton and sponge, one, two or three of the filling cotton fabric, the doll cotton and the sponge can be selected, and the filling cotton is a conventional mattress combination in the market, which is the outermost layer of the mattress.
The first bedding layer 2 of the mattress is a medium-low density sponge with high softness, such as 19kg/m3The function of filling the curved surface of the human body is achieved, and good fitting feeling is provided; the second layer 3 should have a higher hardness and elasticity than the first layer and should support the second layer to a certain extent, such as a latex foam with a density of 80kg/m3. The surface hardness of the mattress is determined by the bedding layer and the composite fabric layer, and the surface hardness is lower than the core layer hardness and the bottom layer hardness. The bedding layer may have one or more layers.
The bottom supporting layer of the mattress is made of materials with higher hardness and elasticity, such as high-density sponge, air fiber and the like, so that the bottom hardness of the mattress is improved.
The supporting layer of the mattress consists of an air spring group 6 with an active adjusting function and a supporting sponge 7 with an equivalent adjusting function, and the lifting of the adjusting area of the mattress is equivalently realized by adjusting the relative height between the air spring group 6 and the supporting sponge 7 with fixed height to perform equivalent adjustment; the air spring used by the air spring group 6 is made of flexible materials, bears vertical pressure and generates vertical deformation, and the specific reference is to patent publication No. CN 112268090A.
The air spring group 6 is divided into head, shoulder, back, waist, hip and leg regions along the length direction of the mattress according to the human body structure, as shown in fig. 2; the terminal control box is placed in the area of the rear part of the mattress, which is located in the supporting layer of the mattress, and the area is not provided with air springs, and only the sponge and the terminal control box are arranged.
As shown in fig. 3, the mattress air spring group 6 is divided into 17 independent control areas, and the air springs of the independent control areas are respectively connected to the terminal control box 4 in series;
the air passages of the 17 subdivided region independent control air spring modules comprise a left shoulder region air spring group 4002, a left upper back region air spring group 4003, a left lower back air spring group 4004, a left waist region air spring group 4005 and a left hip region air spring group 4006; comprises a middle shoulder area air spring group 40011, a middle upper back area air spring group 40012, a middle lower back area air spring group 40013, a middle waist area air spring group 40014 and a middle hip area air spring group 40016; comprises a right shoulder area air spring group 4007, a right upper back area air spring group 4008, a right lower back area air spring group 4009, a right waist area air spring group 40010 and a right hip area air spring group 40016; also included are a head zone air spring set 4001 and a leg zone air spring set 40017.
Fig. 4 is a schematic connection diagram of an air pressure regulation and control system of the independent control air spring modules in each region and 17 subdivided regions of the mattress, and the air pressure regulation and control system is composed of a total air passage and an electromagnetic valve thereof, and each branch air passage and an electromagnetic valve 405 thereof in the 17 subdivided regions of the mattress;
the air pump 401 is used for providing an air source, and the air pressure output range of the air pump is 0-30 KPa in the embodiment;
the input end of the main path is connected with an air source 401, the output end of the main path is connected with 17 branches, the main path comprises a through electromagnetic valve 402, a two-position three-way electromagnetic valve 403 and an air pressure sensor 404, wherein the through electromagnetic valve 402 is connected with the two-position three-way electromagnetic valve 403 in series, and three working modes of inflation, deflation and pressure maintaining can be realized;
each branch gas circuit is connected with a straight-through electromagnetic valve in series, and the working principle is as follows:
the air pressure in the air spring group of each subdivision region of the mattress is measured by an air pressure sensor 404, at the moment, the through electromagnetic valve 402 needs to be closed, the two-position three-way electromagnetic valve 403 is adjusted to be at a low position, the communication with an air source and air is disconnected, then the branch through electromagnetic valves 405 of the air passages of each subdivision region of the mattress are sequentially opened, the air pressure values are measured and fed back to the processing module, the branch through electromagnetic valves 405 are closed, and the processes are repeated until the air pressure of each branch air passage is completely measured;
when the air spring modules in each subdivision area of the mattress are inflated, a main-path electromagnetic straight-through valve 402 is opened, a main-path two-position three-way electromagnetic valve 403 is adjusted to be in a high position and communicated with a main pipeline 401, a branch-path straight-through electromagnetic valve 405 is opened in sequence, and the air pressure of the branch-path air spring modules is measured through an air pressure sensor 404 until a target value is reached;
when the air spring modules in each subdivision area of the mattress are deflated, the main path electromagnetic straight-through valve 402 is closed, the main path two-position three-way electromagnetic valve 403 is adjusted to be at a low position and communicated with the atmosphere, the branch path straight-through electromagnetic valve to be inflated in the branch path straight-through electromagnetic valve 405 is sequentially opened, and the air pressure of the branch path air spring modules is measured through the air pressure sensor 404 until the target value is reached.
As shown in fig. 5, the core of the mattress terminal control box 4 is a single chip microcomputer, and a hardware system and a software system thereof, and includes a prone position recognition submodule, a spine shape recognition submodule, an air spring stiffness adjustment module, an air source management submodule, an air pressure measurement submodule, and a power supply module, in this embodiment, a 12 v dc voltage-stabilized power supply is used, and the single chip microcomputer supplies power to a 5 v power supply. The modules are functional modules which are all existing modules and are realized through program control of an embedded air system, and core hardware is a single-chip microcomputer for processing air pressure signals, such as model STM32, and an air pressure sensor for measuring air pressure of air springs in each region, such as MSP40-G series.
The working principle of the prone position identification submodule is as follows:
the air pressure sensor 404 is used for detecting the air pressure of each air spring module in the left and right areas of the mattress below the body part of the human body after the human body lies down, the air pressure is transmitted to the processing module, the processing module respectively calculates the ratio of the air spring modules in the left and right body areas 401, 407, 403, 4084, 406 and 4015, and the initial state ratio of the mattress without the human body lying down and the ratio after lying down are respectively constructed into a high-dimensional vector R0And R, wherein R0＝[X1,X2,X3,X4,X5]，R＝[x1,x2,x3,x4,x5]Separately calculating high-dimensional vectors R0And the L1 norm of R, the rationale being as follows:
(1) l1 norm of high-dimensional vector of ratio of each original pressure signal
Wherein, | | R0I is L1 norm of high-dimensional vector of air pressure ratio of each region in the initial state of the mattress, XiIs the original vector element of the initial air pressure signal, and N is the number of the element and corresponds to the number of the mattress partitions.
Wherein, R is L1 norm of high-dimensional vector of air pressure ratio value of each region of the initial state of the mattress after the user lies, xiThe element is the original vector element of the air pressure signal after the human body lies, N is the number of the element and corresponds to the number of the mattress partitions.
(2) Prone position index representation
In an ideal situation, when a user lies on the back, the air pressure ratio of the air spring modules of the left and right subdivided areas of the mattress is 1 or approximately 1, and is consistent with or approximately equal to the ratio of the initial state of the mattress; when the user lies on the left side, the weight of the human body is distributed on the left side of the mattress in a biased mode, so that the air pressure value of the left air spring module in each subdivision area of the mattress is larger than the air pressure value on the right side, namely the element of the original vector R is larger than 1, and the norm of L1 is larger than R0The L1 norm; the elements of the original vector R are less than 1 when lying on the right side, and the norm of L1 is less than R0L1 norm. Therefore, the following indexes and corresponding quantitative relations are defined to represent three lying positions:
lying on the back: r | | ═ R | | | R0||。
② lying on the left side: | R | non-conducting phosphor>||R0||。
③ lying on the right side: | R | non-conducting phosphor<||R0||。
The working principle of the spine form identifier module is as follows;
a supervised deep learning network is established on the spine form recognition submodule, and when a user lies on the back, the thoracic vertebrae section of the human body is the most convex and the lumbar vertebrae section is the most concaveThe vertical height difference between three key points of the concave point and the most convex point of the hip is used as an input vector V of the deep learning networkSVHorizontal distance difference vector V between thoracic most convex point, lumbar most concave point and buttock most convex point of spine sagittal plane in standing posture of healthy human bodySHAs reference vector, and as basis for judging the form of supine spine, the supine vector VSVAnd the standing posture vector VSFormed discourse domain UsEstablishing a supine vector VSVSpace and standing posture vector VSHAnd (4) mapping relation of the space. The spine form recognition submodule calculates height change according to air pressure change of the air spring module in the waist, back and hip areas of the mattress and constructs an input vector VSVAnd universe of discourse UsV inSHComparing until VSVCan be matched with corresponding VSHAnd the system adjustment is finished.
A supervised deep learning network is established on the spine form recognition submodule, and the vertical height difference between three key points of the lateral contour of a human body, namely the most convex point of the thoracic vertebra section, the most concave point of the lumbar vertebra section and the most convex point of the crotch section, is used as an input vector V of the deep learning network when the user lies on the sideLVWhen the healthy human body without scoliosis stands, the horizontal distance difference between the outer contours of the thoracic vertebra, the lumbar vertebra and the hip of the coronal plane of the spine forms a reference vector VLHThe supine vector V is used as the basis for judging the shape of the side-lying spineLVAnd the standing posture vector VLHFormed discourse domain ULEstablishing a lateral-lying vector VLVSpace and standing posture vector VLHAnd (4) mapping relation of the space. The spine form recognition submodule calculates height change according to air pressure change of the air spring module in the waist, back and hip areas of the mattress and constructs an input vector VLVAnd universe of discourse ULV inLHComparing until VLVCan be matched with corresponding VLHAnd the system adjustment is finished.
As shown in fig. 6, the intelligent adjustment algorithm principle of the mattress is shown, in this embodiment, the control system includes two chips, the belonging systems are respectively a prone position and spine shape recognition system and an air spring mattress adjustment and control system, and the two systems work synchronously in the operation process.
The whole operation process is as follows: after the human body lies, the mattress lying position identification submodule judges the current lying position and sends a judgment result to the processing module; the mattress spine shape recognition sub-module and the air pressure measurement sub-module calculate the height difference of the most convex points of the current prone position spine shape and judge whether the current prone position spine shape meets the requirements through an autonomous learning network; if the judgment result of the spine form recognition sub-module does not accord with the requirement of the natural spine form, the air source management sub-module of the mattress is called, the rigidity and the height of the air spring groups 6 in each area of the mattress are adjusted, the spine form recognition sub-module is called circularly to judge the adjustment result until the rigidity and the height of the air spring groups 6 in each area of the mattress are judged to accord with the requirement of the natural spine form, and the adjustment and the control are stopped.
The invention is not limited to the embodiments described above, and variations can be made by those skilled in the art within the knowledge of the skilled person without departing from the spirit of the invention.
Claims (10)
1. A softness adaptive mattress, characterized by comprising: a top bedding layer and a bottom supporting layer (5), a plurality of areas of air spring groups (6) are separately arranged between the top bedding layer and the bottom supporting layer (5) according to human body segments, a supporting sponge (7) with an equivalent adjusting function is arranged between the top bedding layer and the bottom supporting layer (5) at the area outside the air spring groups (6),
the air spring group (6) is connected with the prone position and spine shape recognition module and the air spring rigidity adjusting module, and the prone position and spine shape recognition module and the air spring rigidity adjusting module are both connected with the processing module;
the prone position and spine shape recognition module is used for recognizing the prone position of a human body on the mattress and the corresponding spine shape and sending signals of the prone position and the spine shape to the processing module;
the air spring stiffness adjusting module is used for adjusting the stiffness and the height of the air spring group in each area of the mattress, so that the hardness of each area of the mattress and the shape of a human prone spine are adjusted;
the processing module is used for judging the posture of the prone position and the spine according to the prone position and spine shape signals sent by the prone position and spine shape recognition module; and the information of the prone position and the shape of the spine is fed back to the air spring rigidity adjusting module for adjustment.
2. The softness adaptive mattress according to claim 1, characterized in that: the air spring groups (6) are arranged in a left-right symmetrical array along the length direction of the mattress according to the human body percentile size of each segment of the human body, and comprise a left shoulder area air spring group (4002), a left upper back area air spring group (4003), a left lower back air spring group (4004), a left waist area air spring group (4005) and a left hip area air spring group (4006); the air spring device comprises a middle shoulder area air spring group (40011), a middle upper back area air spring group (40012), a middle lower back area air spring group (40013), a middle waist area air spring group (40014) and a middle hip area air spring group (40016); the air spring device comprises a right shoulder area air spring group (4007), a right upper back area air spring group (4008), a right lower back area air spring group (4009), a right waist area air spring group (40010) and a right hip area air spring group (40015); also included are head zone air spring sets (4001) and leg zone air spring sets (40017).
3. The softness adaptive mattress according to claim 2, characterized in that: the prone position and spine shape recognition module comprises a prone position recognition submodule and a spine shape recognition submodule, and the prone position and spine shape signals comprise prone position type information and a spine shape discrimination result;
the prone position recognition submodule is used for recognizing the prone position of a user on the mattress, the recognition types comprise a left side lying type, a right side lying type and a back lying type, and the prone position recognition submodule feeds back the prone position type to the spine form recognition submodule;
the spine form recognition submodule is used for judging whether the spine form under the prone position type recognized by the prone position recognition submodule meets the requirement of a natural curve or not according to the height of the air spring group (6) in each region of the mattress, and feeding back the spine form judgment result to the processing module.
4. The softness adaptive mattress of claim 3, wherein: the air spring stiffness adjusting module comprises an air spring air pressure measuring submodule, an air pressure judging submodule and an air source management submodule;
the air spring air pressure measuring submodule is used for measuring real-time air pressure in each area of the air spring group (6) of the mattress and feeding back real-time air pressure data to the air pressure judging submodule;
the air pressure judgment submodule is used for judging whether the real-time air pressure in the air spring group (6) in each area of the current mattress meets the requirement of the natural prone position spine form of a user or not and feeding back the air pressure judgment result to the processing module;
and the air source management submodule is used for controlling the air spring groups (6) in each region of the mattress to inflate, deflate and maintain pressure according to the instruction of the processing module, and adjusting the rigidity and height of the air spring groups (6) in each region of the mattress.
5. The softness adaptive mattress of claim 4, wherein: the air spring air pressure measuring submodule comprises air pressure sensors (404) which are respectively arranged in air spring groups (6) of all areas, the air pressure sensor (404) is connected with an air pressure judgment submodule, the air source management submodule comprises an air source, the air source is connected with the input end of a main pipeline (401), the other end of the main pipeline (401) is connected with a main path straight-through electromagnetic valve (402) and then is connected with a two-position three-way electromagnetic valve (403), the two-position three-way electromagnetic valve (403) is provided with a plurality of connecting pipelines which are connected with the air charging and discharging ports of the air spring group (6), and branch straight-through electromagnetic valves (405) are respectively arranged on the connecting pipelines, and the main road straight-through electromagnetic valve (402), the two-position three-way electromagnetic valve (403) and the branch straight-through electromagnetic valves (405) are all connected with the air source management submodule.
6. The softness adaptive mattress according to claim 1, characterized in that: the bedding layer is one layer or a plurality of layers of soft and elastic materials, and the supporting sponge (7) is polyurethane foam sponge.
7. The intelligent hardness-adaptive mattress adjusting and controlling method based on claim 4 is characterized by comprising the following steps:
step 1: when the user does not lie, the lying posture recognition submodule recognizes the lying posture state of the human body and feeds back the lying posture type to the spine shape recognition submodule;
step 2: the spine form recognition submodule judges whether the spine form under the prone position type recognized by the prone position recognition submodule meets the requirement of a natural curve or not according to the height of the air spring group (6) in each region of the mattress, and feeds back the spine form judgment result to the processing module;
and step 3: the air spring air pressure measuring submodule measures real-time air pressure in each area of the air spring group (6) of the mattress and feeds real-time air pressure data back to the air pressure judging submodule processing module; the air pressure judgment submodule is used for judging whether the real-time air pressure in the air spring group (6) in each area of the current mattress meets the requirement of the natural prone position spine form of a user or not and feeding back the air pressure judgment result to the processing module;
and 4, step 4: the processing module makes an instruction of inflating, deflating or maintaining pressure of the air spring group (6) in each region of the mattress according to the spine form judgment result and the air pressure judgment result and sends the instruction to the air source management submodule;
step 5, the air source management submodule controls air spring modules in each region of the mattress to inflate, deflate or maintain pressure, and the rigidity and the height of the air spring modules in the regions are adjusted;
step 6: and (5) repeating the step (3) and the step (4) until the air pressure in each area of the air spring module of the mattress meets the requirement of the optimal spine form of the prone position.
8. The intelligent hardness-adaptive mattress adjusting and controlling method based on claim 7 is characterized in that the step 1 specifically comprises the following steps:
setting reference standards of air pressure ratio indexes in air spring groups (6) corresponding to the left side lying, the right side lying and the back lying of a human body on a prone position identification submodule, forming an air pressure ratio vector by the air pressure of the left side air spring group and the air pressure of the right side air spring group, wherein the air pressure ratio vector comprises a plurality of dimensionless numerical elements, and calculating an air pressure ratio vector L1 norm R when a user does not lie down0The ratio vector of | | | and the pressure after lying down is L1 norm | | | R | |; if R | | | R0If yes, judging that the human body is in a supine posture; if R does not calculation>||R0If the human body is in the left side lying posture, judging whether the human body is in the left side lying posture; | R | non-conducting phosphor<||R0And | l, judging that the human body is in the right side lying posture.
9. The intelligent hardness-adaptive mattress adjusting and controlling method based on claim 8 is characterized in that the step 2 specifically comprises the following steps:
the spine form recognition sub-module judges the variation of the height of the independent air spring groups (6) in each area of the mattress after the human body is lying based on the corresponding relation between the air pressure variation rate and the height variation rate of the air spring groups, and extracts the vertical height difference value between the most convex point of the thoracic vertebra section, the most concave point of the lumbar vertebra section and the most convex point of the hip area, thereby tracing the spine forms of different lying postures.
10. The intelligent hardness-adaptive mattress adjusting and controlling method based on claim 9 is characterized in that the specific algorithm of the processing module is as follows:
establishing a supervised deep learning network, and taking the vertical height difference between three key points of the highest convex point of the thoracic vertebra section, the lowest concave point of the lumbar vertebra section and the highest convex point of the buttocks of a human body when a user lies on the back as an input vector V of the deep learning networkSVHorizontal distance difference vector V between thoracic most convex point, lumbar most concave point and buttock most convex point of spine sagittal plane in standing posture of healthy human bodySHAs reference vector, and as basis for judging the form of supine spine, the supine vector VSVAnd the standing posture vector VSFormed discourse domain UsEstablishing a supine vector VSVSpace and standing posture vector VSHMapping relation of space;
calculating the height change according to the air pressure change of the air spring module in the waist, back and hip area of the mattress to construct an input vector VSVAnd universe of discourse UsV inSHComparing until VSVCan be matched with corresponding VSHThe system adjustment is finished;
establishing a supervised deep learning network, and taking the vertical height difference between three key points of the highest point of the thoracic vertebra segment, the lowest point of the lumbar vertebra segment and the highest point of the crotch of the side profile of a human body when a user lies on side as an input vector V of the deep learning networkLVWhen the healthy human body without scoliosis stands, the horizontal distance difference between the outer contours of the thoracic vertebra, the lumbar vertebra and the hip of the coronal plane of the spine forms a reference vector VLHThe supine vector V is used as the basis for judging the shape of the side-lying spineLVAnd the standing posture vector VLHFormed discourse domain ULEstablishing a lateral-lying vector VLVSpace and standing posture vector VLHMapping relation of space;
calculating the height change according to the air pressure change of the air spring module in the waist, back and hip area of the mattress to construct an input vector VLVAnd universe of discourse ULV inLHComparing until VLVCan be matched with corresponding VLHAnd the system adjustment is finished.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114469475A (en) * | 2022-02-11 | 2022-05-13 | 慕思健康睡眠股份有限公司 | Spinal column correction system and control method thereof |
| CN114680511A (en) * | 2022-03-30 | 2022-07-01 | 浙江梦神家居股份有限公司 | Intelligent air bag mattress control method and system, storage medium and intelligent terminal |
| WO2023140564A1 (en) * | 2022-01-18 | 2023-07-27 | 코웨이 주식회사 | Mattress assembly and furniture comprising same |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2009026740A1 (en) * | 2007-04-18 | 2009-03-05 | Han-Chung Hsu | Bed adjusted according to vertebral curve of human |
| CN103110296A (en) * | 2013-02-01 | 2013-05-22 | 安徽农业大学 | Experimental bed capable of automatically controlling system mechanical properties |
| CN106419292A (en) * | 2016-11-21 | 2017-02-22 | 深圳市易控迪智能家居科技有限公司 | Hardness-adjustable mattress |
| CN108618465A (en) * | 2018-04-18 | 2018-10-09 | 浙江想能云软件股份有限公司 | A kind of soft or hard adjustable bed mattess that realizing intelligence learning and its hardness regulating system and method |
| CN108703582A (en) * | 2018-03-23 | 2018-10-26 | 曹可瀚 | The method of bedding and adjustment bedding |
| CN108764123A (en) * | 2018-05-25 | 2018-11-06 | 暨南大学 | Intelligent recognition human body sleep posture method based on neural network algorithm |
| CN108937325A (en) * | 2018-08-01 | 2018-12-07 | 浙江想能睡眠科技股份有限公司 | A kind of soft or hard adjustable bed mattess and its adjusting method adapting to human body sleeping position curve |
| CN109157194A (en) * | 2018-08-17 | 2019-01-08 | 浙江想能云软件股份有限公司 | A kind of healthy data acquisition of soft or hard adjustable bed mattess and analysis system and method |
| CN111053396A (en) * | 2019-06-05 | 2020-04-24 | 深圳市华信物联传感技术有限公司 | Hardness-adjustable bed and chair cushion and adjusting method thereof |
| CN211722516U (en) * | 2020-02-25 | 2020-10-23 | 金可儿（上海）床具有限公司 | Intelligent mattress selection device |
-
2021
- 2021-09-02 CN CN202111026217.6A patent/CN113616033B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2009026740A1 (en) * | 2007-04-18 | 2009-03-05 | Han-Chung Hsu | Bed adjusted according to vertebral curve of human |
| CN103110296A (en) * | 2013-02-01 | 2013-05-22 | 安徽农业大学 | Experimental bed capable of automatically controlling system mechanical properties |
| CN106419292A (en) * | 2016-11-21 | 2017-02-22 | 深圳市易控迪智能家居科技有限公司 | Hardness-adjustable mattress |
| CN108703582A (en) * | 2018-03-23 | 2018-10-26 | 曹可瀚 | The method of bedding and adjustment bedding |
| CN108618465A (en) * | 2018-04-18 | 2018-10-09 | 浙江想能云软件股份有限公司 | A kind of soft or hard adjustable bed mattess that realizing intelligence learning and its hardness regulating system and method |
| CN108764123A (en) * | 2018-05-25 | 2018-11-06 | 暨南大学 | Intelligent recognition human body sleep posture method based on neural network algorithm |
| CN108937325A (en) * | 2018-08-01 | 2018-12-07 | 浙江想能睡眠科技股份有限公司 | A kind of soft or hard adjustable bed mattess and its adjusting method adapting to human body sleeping position curve |
| CN109157194A (en) * | 2018-08-17 | 2019-01-08 | 浙江想能云软件股份有限公司 | A kind of healthy data acquisition of soft or hard adjustable bed mattess and analysis system and method |
| CN111053396A (en) * | 2019-06-05 | 2020-04-24 | 深圳市华信物联传感技术有限公司 | Hardness-adjustable bed and chair cushion and adjusting method thereof |
| CN211722516U (en) * | 2020-02-25 | 2020-10-23 | 金可儿（上海）床具有限公司 | Intelligent mattress selection device |
Non-Patent Citations (1)
| Title |
|---|
| 刘美 等: "基于人体脊柱形态的床垫舒适性测试与评价方法探讨", 《林业工程学报》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023140564A1 (en) * | 2022-01-18 | 2023-07-27 | 코웨이 주식회사 | Mattress assembly and furniture comprising same |
| CN114469475A (en) * | 2022-02-11 | 2022-05-13 | 慕思健康睡眠股份有限公司 | Spinal column correction system and control method thereof |
| CN114680511A (en) * | 2022-03-30 | 2022-07-01 | 浙江梦神家居股份有限公司 | Intelligent air bag mattress control method and system, storage medium and intelligent terminal |
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