WO2019157686A1

WO2019157686A1 - Autoregulatory bed and regulating method therefor

Info

Publication number: WO2019157686A1
Application number: PCT/CN2018/076782
Authority: WO
Inventors: 孙成俊; 刘众; 卢坤涛; 乐勇
Original assignee: 深圳市三分之一睡眠科技有限公司
Priority date: 2018-02-14
Filing date: 2018-02-14
Publication date: 2019-08-22

Abstract

An autoregulatory bed, comprising: an electronically controlled part (10), a mechanically regulated part (20), and a support part (30). The electronically controlled part (10) is connected to the mechanically regulated part (20); the mechanically regulated part (20) is slidably connected to the support part (30); the support part (30) is partitioned according to a specified amounts; the partitions respectively correspond to specified parts of a human body; the electronically controlled part (10) is used to regulate the heights of specified partitions of the support part (30).

Description

Automatic adjustment bed and its adjustment method

[0001] The present invention relates to the field of intelligent control bed technology, and more particularly to an automatic adjustment bed and a method of adjusting the same.

Background technique

[0002] Today's office workers have a fast pace of life and high work pressure. These factors lead to their anxiety, difficulty falling asleep or poor sleep quality, which in turn affects their working conditions. Therefore, choosing a suitable bed to improve sleep quality is a good idea. effective method.

[0003] Existing mattresses can be classified into soft, medium hardness, and harder by softness. Soft mattresses cushion the discomfort of body pressure by installing cushions such as springs or sponges. However, due to their structural fixation, it is difficult for these beds to completely maintain blood circulation, or to make the body's nerves in a normal state, that is, it is difficult to achieve healthy sleep.

[0004] The so-called healthy sleep means that when a person is asleep, the bed can maintain its natural physiological curvature in the different sleeping positions, and has reasonable pressure on various parts of the body to keep the blood circulation unblocked. The nerves of the site are in normal working condition. Specifically, people of different sizes need different support from the mattress; the same person needs different support for the mattress in different sleeping positions. For example, in general, when the human body is lying down, in order to keep the cervical vertebrae of the neck in a healthy physiological curvature, the head needs to be raised about 8-10 cm from the plane of the mattress (ie, the person sleeps The height of the pillow), while lying on the side, because the shoulder is also pressed against the mattress, the head needs to be raised about 12-15cm from the plane of the mattress, and because of the size and shoulder width of each person. The height, weight and other parameters are different. The optimum height is not the same. Other parts, such as the shoulder, waist, back, buttocks, etc., also have different support needs.

[0005] The existing bed structure has a single structure, and the individual smart bed requires manual operation, and it is not possible to intelligently detect different sleeping postures of people with different body types and different body weights and intelligently construct the bed structure. Control, in order to keep the spine in the natural physiological curvature during sleep, have appropriate pressure on all parts of the body, keep the blood circulation smooth, the nerves in all parts are in a normal state, and achieve healthy sleep. Summary of invention

technical problem

[0006] It is therefore necessary to improve the existing bed to improve the sleep quality of the user.

Problem solution

Technical solution

[0007] The technical problem to be solved by the present invention is that, in view of the problem that the existing bed cannot intelligently detect and adjust the sleeping position of the person, an automatic adjusting bed and an adjusting method thereof are proposed, which are established by acquiring basic information of the human body. The static muscle model and the spine model are identified by the partition pressure detecting unit to identify the number of people and their weight and whether they are lying normally, and obtain the feature values of each part as the input of the classifier SVM, and then pass Introducing the Lagrang function to obtain the decision function to accurately identify the sleeping position, and then to obtain the final adjustment height. According to the above adjustment height, the electronic control unit drives the mechanical adjustment part to make the supporting part reach the appropriate height, thereby enabling the person to Keep your spine in a natural physiological curvature during sleep, and have appropriate pressure on all parts of the body, keep the blood circulation smooth, and the nerves in each part are in a normal state to achieve healthy sleep.

[0008] In a first aspect of the embodiments of the present invention, an automatic adjustment bed is provided, which includes a support portion, an electric control portion, and a mechanical adjustment portion, wherein the electronic control portion is coupled to the mechanical adjustment portion, and the mechanical adjustment portion is Slidingly connected to the support portion, the support portion is partitioned according to a predetermined number, and the partition portion respectively corresponds to a predetermined portion of the human body, and the electronic control portion is configured to detect the pressure of the human body portion transmitted by each of the support portions and according to the The pressure is used to determine the real-time state of the human body in the automatic adjustment bed, and is used to drive the mechanical adjustment portion to adjust the height of the predetermined portion of the support portion.

[0009] Further, the electronic control unit includes a control chip and a predetermined number of partition pressure detecting units, a partition processing circuit, and a driving device, wherein the partition pressure detecting unit is electrically connected to the partition processing circuit, and is configured to detect each a body part pressure of the partition, and converting the pressure into an analog electrical signal to the partition processing circuit, the partition processing circuit is electrically connected to the partition pressure detecting unit, and is electrically connected to the control chip through the 485 bus a connection, a digital signal for filtering, amplifying, and converting the analog electrical signal into a control chip, wherein the control chip is electrically connected to the partition processing circuit and the driving device, and is used for data of the partition pressure detecting unit Analyze and control according to the specified algorithm Drive action,

[0010] The driving device is connected to the control chip for operating according to an instruction of the control chip.

[0011] Further, the mechanical adjustment portion includes a predetermined number of adjustment mechanisms, first and second connecting members, a stud and a base, and the first end of the active structure of the adjusting mechanism is hinged to the carrier, and the second The end is slidably coupled to the base, the first end of the driven structure is slidably coupled to the carrier, the second end is hinged to the base, and the first connector connects two active structures having synchronized adjustment mechanisms, The first connecting member is connected to the stud through a second connecting member. One end of the second connecting member is hinged to the stud, and the other end is fixedly connected to the connecting tube. The stud is screwed to the driving rod of the driving device.

[0012] Further, the support portion includes an elastic mattress body and a bearing bracket, the elastic mattress body is provided with latex, a sponge and an independent spring from top to bottom, and a network system of the partition pressure detecting unit is disposed at the bearing The intermediate interlayer of the bracket and the independent spring.

[0013] Further, the carrier bracket is formed by connecting a predetermined number of separate support plates and angle steels through a joint spring, and the elastic mattress body is embedded in the bracket, each of the separation The support plate or angle steel supports the specified zone pressure detection unit.

[0014] Further, the automatic adjustment bed further comprises a cotton wool, a fabric and a edging for wrapping the main structure of the automatic adjustment bed.

[0015] Further, the partition pressure detecting unit and the partition processing circuit are in one-to-one correspondence with the driving device, and have the same number of partitions as the supporting portion.

[0016] Further, the number of partitions of the support portion is five or more.

[0017] In a second aspect, the embodiment of the present invention further provides the method for adjusting the automatic adjustment bed according to any one of the above embodiments, including:

[0018] obtaining basic information of the user, including at least three of gender, height, weight, BMI, length of the trunk, shoulder width, chest circumference, waist circumference, and hip circumference;

[0019] establishing a static muscle model and a spine model with the length of the trunk coincided with the length direction of the self-adjusting bed body, and the angle between the normal phase of the trunk and the phase of the bed is 0 degrees;

[0020] identifying whether the person, the number of people, the weight, the normal lying position, and the sleeping position are automatically adjusted on the bed;

[0021] obtaining an angle between a normal phase of the trunk and a bed surface method according to the recognition result;

[0022] acquiring a space model of the human torso and the self-adjusting bed, and determining the space of each trunk muscle and the spine Location

[0023] The final adjustment height is determined based on the spatial position and with reference to the appropriate adjustment height under the muscle model and the adjustment height under the spinal model.

[0024] Further, the step of identifying whether the person, the number of people, the weight, the normal lying position, and the sleeping position in the automatic adjustment bed are normally positioned is:

[0025] converting the partitioned pressure information data into image information data;

Identifying an edge of the image, and dividing the image by partitioning the pressure point;

[0027] The length, width, and aspect ratio data of the trunk are identified and calculated, and if the data is within the predetermined range, it is determined to be a normal lying posture, and vice versa.

[0028] Further, the step of recognizing the sleeping position in the automatic adjustment bed whether the person, the number of people, the weight, the normal lying position and the sleeping position are recognized includes:

[0029] collecting pressure matrices in five sleeping positions in the training sample;

[0030] identifying each part of the torso, and calculating a feature value of the pressure matrix of each part in each sleeping position; [0031] using the feature value as an input of an SVM classifier;

[0032] Obtaining the SVM classifier optimal classification hyperplane (wx)+b=0 between each two sleeping postures, and by constructing a Lagrangian function:

[0036] finally obtaining an optimal solution and obtaining a decision function;

[0037] By voting, the most votes are recorded as the sleeping position after the final classification.

[0038] Further, the characteristic values include: a pressure specific gravity of a head and neck region, a trunk region, a hip region, and a size leg region, a gradient size and direction of the pressure pixel point, a symmetry of the trunk region and the hip region, and a size leg region. The variance of the center of gravity.

[0039] Further, the method for acquiring the symmetry of the trunk region or the hip region is:

[0040] obtaining an array of pressures per row in the torso region or the buttock region;

[0041] obtaining a peak of the row and a width of 30% of the peak and a center point of the width, that is, a geometric center;

[0042] acquiring a barycentric coordinate of the row pressure, and acquiring a distance from the geometric center to the barycentric coordinate;

[0043] Obtain the variance of the center of gravity of each row of the torso region or the buttock region.

Advantageous effects of the invention

Beneficial effect

[0044] By using the automatic adjustment bed provided by the embodiment of the invention, the person keeps the spine in a natural physiological curvature during sleep, has appropriate pressure on various parts of the body, maintains smooth blood circulation, and the nerves in each part are normal. The state of achieving a healthy sleep.

Brief description of the drawing

DRAWINGS

[0045] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly described below. Obviously, the drawings in the following description are only some of the present invention. Example.

1 is a schematic diagram showing the logical composition connection of an embodiment of an automatic adjustment bed according to the present invention;

2 is a schematic diagram of a logical component connection embodiment of an embodiment of an electronic control unit in an automatic adjustment bed according to the present invention;

3 is a schematic diagram showing a logical composition connection of an embodiment of a mechanical adjustment portion in an automatic adjustment bed according to the present invention;

4 is a schematic structural diagram of a side view of an embodiment of a support portion in an automatic adjustment bed according to the present invention; [0050] FIG. 5 is a schematic diagram of a connection structure of a bracket structure in an automatic adjustment bed according to the present invention; [0051] FIG. 6 is a top view of an automatic adjustment bed provided by the present invention; [0052] FIG. 7 is a front elevational view of a self-adjusting bed provided by the present invention;

8 is a left side view of an automatic adjustment bed provided by the present invention;

[0054] FIG. 9 is a perspective view of an automatic adjustment bed provided by the present invention;

[0055] FIG. 10 is a bottom view of an automatic adjustment bed provided by the present invention;

[0056] FIG. 11 is a plan view of the automatic adjustment bed after removing the support portion according to the present invention;

12 is a schematic flow chart of an embodiment of a method for automatically adjusting a bed according to the present invention;

13 is a schematic flow chart of an embodiment of a method for judging normal lying in step S3 in a method for automatically adjusting a bed according to the present invention;

14 is a schematic flow chart of an embodiment of a method for determining a sleeping position in step S3 in a method for automatically adjusting a bed according to the present invention; and

15 is a schematic flow chart of an embodiment of a method for acquiring a symmetry feature value of a trunk region and a leg region in step S32b in the method for automatically adjusting a bed according to the present invention.

DESCRIPTION OF THE DRAWINGS FIG. 10: Electronic control part, 11-partition pressure detecting unit, 12-partition processing circuit, 13-control chip, 14-drive device, 20-mechanical adjustment part, 21-stud, 22 — First connector, 23-adjustment mechanism, 24-second connector, 25-base, 30-support, 31-breast, edging and fabric combination, 32-latex, 33-sponge, 34-independent spring , ₃₅ a bracket. Invention embodiment

Embodiments of the invention

The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It is understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

Please refer to FIG. 1 and FIG. 1 . FIG. 1 is a schematic diagram showing the logical composition connection of an embodiment of an automatic adjustment bed according to an embodiment of the present invention. FIG. 11 is a schematic diagram of the removal support portion 30 of the automatic adjustment bed provided by the present invention. A schematic view of a top view embodiment.

The embodiment of the present invention provides an automatic adjustment bed, including a support portion 30, an electric control portion 10, and a mechanical adjustment portion 20, wherein the electronic control portion 10 is connected to the mechanical adjustment portion 20, and the mechanical adjustment portion 20 and the support portion 30-sliding connection, the support portion 30 includes a specified number of partitions (displayed as 5 in the related view, of course, can be set Further, the partition corresponds to a predetermined portion of the human body, and the electronic control unit 10 is configured to detect the pressure of the human body part transmitted by each of the partitions, and adjust the height of the predetermined partition area according to the action of the pressure-driven mechanical adjustment unit 20. The electronic control unit 10 acquires the basic information of the human body, establishes a static muscle model and a spinal model, and identifies the number of people and their weights and whether or not they are lying normally by setting the partition pressure detecting unit 11 to obtain the situation of the partition pressure, and obtain the respective parts. The eigenvalue is used as the input of the classifier SVM, and then the Lagrange function acquisition decision function is introduced to accurately recognize the sleeping position, thereby obtaining the final adjustment height. According to the adjustment height, the electronic control unit 10 drives the mechanical adjustment unit 20 to operate. , the support portion 30 is partitioned to a suitable height, so that the person maintains the natural physiological curvature of the spine during sleep, and has appropriate pressure on all parts of the body, keeping the blood circulation smooth, and the nerves of each part are in a normal state. Achieve healthy sleep

[0065] Embodiment of Electronic Control Unit 10

Please refer to FIG. 2. FIG. 2 is a schematic diagram of a logical component connection embodiment of an embodiment of an electronic control unit 10 in an automatic adjustment bed according to the present invention.

[0067] Specifically, the electronic control unit 10 includes a predetermined number of partition pressure detecting units 11, a partition processing circuit 12, a driving device 14, and a control chip 13, and the partition pressure detecting unit 11 is electrically connected to the partition processing circuit 12, which is used for detecting The body part of each zone is pressurized and the pressure is converted to an analog electrical signal for transmission to the zone processing circuit 12. The partition processing circuit 12 is electrically connected to the partition pressure detecting unit 11 and electrically connected to the control chip 13 via the 485 bus for filtering, amplifying, and converting the analog digital signal into a required digital signal for transmission to the control chip 13. The control chip 13 is electrically connected to the partition processing circuit 12 and the driving device 14, for analyzing the data of the partition pressure detecting unit 11, and controlling the driving device 14 according to a predetermined algorithm. The drive unit 14 is connected to the control chip 13 for operating in accordance with the command of the control chip 13.

[0068] Further, in conjunction with the embodiment of the electronic control unit 10, the partition pressure detecting unit 11 can be implemented as a partition pressure sensor network, and all the partition pressure sensor networks are connected together to form a pressure sensor network system of the entire automatic adjustment bed. The partition sensor network detects the pressure data of the partition, and integrates the pressure data detected by all the partition sensor networks through the control chip 13, thereby facilitating the control of the pressure distribution of the chip 13 on the entire torso, in the case of introducing the Lagrangian decision function. To achieve accurate discrimination of the sleeping position of the human body.

[0069] Further, in conjunction with the embodiment of the electronic control unit 10, the partition detection circuit may be implemented as a The large filter circuit, the AD conversion circuit, the multi-path selection circuit, the sensing data processing chip, and the integrated circuit of the 485 processing chip are used to implement amplification filtering, digital-to-analog conversion, and communication functions on the detected human body pressure analog electric signal. It is obvious to those skilled in the art that the composition and connection relationship of the above integrated circuit are only one of the embodiments, and the protection range of the embodiment of the electronic control unit 10 to the partition processing circuit 12 is not limited to this embodiment.

[0070] Further, in conjunction with the embodiment of the electronic control unit 10, the driving device 14 may be implemented as a motor power device for providing a power device to the mechanical adjustment portion 20, and the driving device 14 may include a motor, a transmission structure, and Connection structure, etc.

[0071] Mechanical Adjustment Section 20 Embodiment

Please refer to FIG. 3 and FIG. 7-10. FIG. 3 is a schematic diagram showing the logical composition connection of an embodiment of the mechanical adjustment unit 20 in the automatic adjustment bed according to the present invention, and FIG. 7 is an automatic adjustment bed provided by the present invention. Figure 8 is a left side view of an automatic adjustment bed provided by the present invention, Figure 9 is a perspective view of an automatic adjustment bed provided by the present invention, and Figure 10 is a bottom view of an automatic adjustment bed provided by the present invention. .

Specifically, as shown in FIGS. 3 and 7, the mechanical adjustment portion 20 includes a prescribed number of adjustment mechanisms 23, first and second connectors, studs 21 and a base 25. The first end of the active structure of the adjustment mechanism 23 is hinged to the carrier 35, and the second end is slidably coupled to the base 25. The first end of the driven structure is slidably coupled to the carrier 35 and the second end is hinged to the base 25. The first connecting member 22 is connected to two active structures having synchronous adjustment mechanisms 23, and the connecting tube is connected to the stud 21 through the second connecting member 24. One end of the second connecting member 24 is hinged to the stud 21, and the other end is The connecting tube is fixedly connected, and the stud 21 is screwed to the driving rod of the driving device 14.

Further, as shown in FIGS. 8 and 9, in conjunction with the mechanical adjustment portion 20 embodiment, the adjustment mechanism 23 can be implemented as a hinged fork mechanism including an active structure and a driven structure. As shown in FIG. 8, the active structure and the driven structure respectively have one end hinged with the base 25 or the support bracket 35 of the support portion 30, and the other end and the base 25 or the support bracket 35 of the support portion 30 pass through the slider. Slide the connection.

[0075] The specific implementation principle is as follows: The driving device 14 rotates the active structure of the hinged fork mechanism through the first connecting member 22 and the second connecting member 24, thereby driving the driven structure to achieve height adjustment.

It is known to those skilled in the art that the present embodiment is intended to describe a mechanical adjustment mechanism 23 that can receive the motor power and can adjust the height up and down. The adjustment range of the adjustment mechanism 23 of the embodiment of the mechanical adjustment unit 20 is not limited to this embodiment, for example. Can also be implemented as a hydraulic adjustment device to adjust the partition of the automatic adjustment bed Height, other adjustment devices can also be used.

[0077] Embodiment of support portion 30

4 is a schematic structural view of a side view of an embodiment of a support portion 30 in an automatic adjustment bed according to the present invention, and FIG. 5 is a structural connection relationship of a bracket 35 in an automatic adjustment bed according to the present invention. FIG. 6 is a schematic view showing an embodiment of a top view of an automatic adjustment bed according to the present invention.

[0079] Specifically, as shown in FIGS. 4 and 6, the support portion 30 further includes an elastic mattress body and a carrier 35. The elastic mattress body is provided with a latex 32, a sponge 33 and an independent spring 34 from top to bottom. The pressure detecting unit 11 is disposed in the intermediate interlayer of the bracket 35 and the independent spring 34.

[0080] As shown in FIG. 5, the carrier 35 is formed by a predetermined number of separate support plates and angle steels connected by a joint spring, and the elastic mattress body is embedded in the carrier 35, each separate support plate or The angle steel supports a prescribed zone pressure detecting unit 11.

[0081] In combination with the electronic control unit 10 embodiment, the mechanical adjustment unit 20 embodiment, and the support portion 30 embodiment, the support portion 30 partition, the partition pressure detecting unit 11, the partition processing circuit 12, the driving device 14, and the adjusting mechanism 23 are correspondingly configured. , and the number is the same. The number of embodiments shown in the drawings of the present invention is five, it being understood that the greater the number, the higher the accuracy of the adjustment.

[0082] Preferably, the number of partitions of the support portion 30 is five, that is,

[0083] The support portion 30 is divided into a first partition, a second partition, a third partition, a fourth partition, and a fifth partition respectively corresponding to a head, a shoulder, a waist, a hip, and a leg of the human body, and the partition pressure detecting unit 11 respectively The first partition pressure detecting unit 11, the second partition pressure detecting unit 11, the third partition pressure detecting unit 11, the fourth partition pressure detecting unit 11, and the fifth partition pressure detecting unit 11, respectively, the partition processing circuit 12 is the first partition The processing circuit 12, the second partition processing circuit 12, the third partition processing circuit 12, the fourth partition processing circuit 12, and the fifth partition processing circuit 12, the driving device 14 is a first driving device 14, a second driving device 14, respectively The three driving device 14, the fourth driving device 14, the fifth driving device 14, and the adjusting mechanism 23 are a first adjusting mechanism 23, a second adjusting mechanism 23, a third adjusting mechanism 23, a fourth adjusting mechanism 23, and a fifth adjusting mechanism, respectively. 23, the support portion 30 partition, the partition pressure detecting unit 11, the partition processing circuit 12, the driving device 14, and the adjusting mechanism 23 are in one-to-one correspondence. Their structural relationship is as follows: The adjustment mechanism 23 is fixed to the angle iron by screws, the sectional pressure detecting unit 11 is fixed on the adjustment mechanism 23, and the adjustment mechanism 23 is fixed to the sectional pressure detecting unit 11 by the transmission connecting device 14 and the independent spring 34. , sponge 33 milk The glue 32 is fixed on the independent spring 34, the cotton wool and the fabric are cotton, the wrapping winding adjustment mechanism 23, the partition pressure detecting unit 11, the independent spring 34, the sponge 33, and the latex 32-ring.

[0084] In actual use, since the position of the person during sleep may vary, it is not necessary to sleep under the position of the mechanism. Therefore, the actual sensor of each part does not necessarily correspond to the position of the part. Through the zone pressure detecting unit 11 of each zone, the system of the zone pressure detecting unit 11 constituting the whole bed can monitor the body pressure distribution of the whole bed, and identify the actual position of the body parts and the corresponding real-time pressure by the algorithm, and recognize The human body sleeps in real time.

[0085] The first zone pressure detecting unit 11 is fixed to the first adjusting mechanism 23 (at the foremost end of the bed, usually the head position of the person), and the second zone pressure detecting unit 11 is fixed to the second adjusting mechanism 23. (usually the shoulder position of the person), the third zone pressure detecting unit 11 is fixed on the third adjusting mechanism 23 (usually the waist position of the person), and the fourth zone pressure detecting unit 11 is fixed to the fourth adjusting mechanism 23 (usually Is the hip position of the person), the fifth zone pressure detecting unit 11 is fixed to the fifth adjusting mechanism 23 (usually the leg position of the person), and the first zone processing circuit 12 acquires the pressure sensor data of the first zone pressure detecting unit 11 ( Head) The second partition processing circuit 12 acquires pressure sensor data (shoulders) of the second partition pressure detecting unit 11, and the third partition processing circuit 12 acquires pressure sensor data (waist) of the third partition pressure detecting unit 11. The fourth partition processing circuit 12 acquires pressure sensor data (hip) of the fourth partition pressure detecting unit 11, Five partition processing circuit 12 acquires data of the pressure sensor (legs) partitions a fifth pressure detecting unit 11.

[0086] The first partition processing circuit 12, the second partition processing circuit 12, the third partition processing circuit 12, the fourth partition processing circuit 12, and the fifth partition processing circuit 12 will calculate shoulder pressure data, waist pressure data, and hip pressure data. The leg pressure data is transmitted to the control chip 13. The control chip 13 integrates the sensor data into the head pressure data, the shoulder pressure data, the waist pressure data, the hip pressure data, and the leg pressure data, and then analyzes the sensor data to obtain sleep information data. , including sleep data such as flat side information and body pressure distribution. The control chip analyzes the sleep data, and combines ergonomic analysis to adjust the height of the head, shoulders, waist, hips, and legs, and then transmits the adjustment information to the first driving device 14 (head), Two driving devices 14 (shoulders), third driving device 14 (waist), fourth driving device 14 (buttocks), fifth driving device 14 (legs), head partitioning of the automatic adjustment bed, shoulder portion, The waist part area, the hip part area, and the leg part area are adjusted. [0087] The automatic adjustment bed further includes a cotton wool, a fabric and a edging, and is used for wrapping the main structure of the automatic adjustment bed.

Method technical solution

Please refer to FIG. 12. FIG. 12 is a schematic flowchart diagram of an embodiment of an automatic adjustment method according to the present invention.

[0090] A method for adjusting an automatic adjustment bed according to any of the above embodiments is provided, including:

[0091] S1. Acquire basic information of the user, which includes at least three of gender, height, weight, BMI, length of the trunk, shoulder width, chest circumference, waist circumference, and hip circumference. Preferably, the basic information includes all of the above contents.

[0092] The sensing array converts the pressure of each sensing region into a voltage, and then converts it into a data signal through an ADC, thereby obtaining a pressure matrix S[r][c| of the entire bed, wherein

The number of rows and columns of the array are respectively.

[0093] S2. A static muscle model and a spinal model are established based on the case where the length of the trunk coincides with the longitudinal direction of the bed bed, and the angle between the normal phase of the trunk and the phase of the bed is 0 degrees.

[0094] S3. Identify whether the person, the number of people, the weight, the normal lying position, and the sleeping position are automatically adjusted on the bed.

[0095] The respective pressure values of the pressure matrix are determined, and when all the pressure values are smaller than the undetermined threshold value St hi , it is determined to be unmanned. Sum all elements of the matrix, Sum(S[i][j]), if it exceeds the threshold Sowthl, it is judged to be overweight; or if an element S[i][j] in the matrix exceeds the second threshold Sowth2, the same Also determined to be overweight. Find the lateral gradient gradSx for the matrix S, calculate the extreme value of gradSx[j] for each row, and determine the number of people by the number of extreme values.

[0096] S4. Obtain an angle between the normal phase of the trunk and the bed surface method according to the recognition result.

[0097] S5. Obtain a space model of the human torso and the automatic adjustment bed, and determine the spatial position of each trunk muscle and the spine.

[0098] S6. Determine the final adjustment height according to the spatial position and with reference to the appropriate adjustment height under the muscle model and the adjustment height under the spinal model.

[0099] In step S3, the step of determining whether the normal lying is included in the step S3 is as shown in FIG. 13 and FIG. 13 is a schematic flowchart of an embodiment of the method for determining whether the normal lying is determined in the step S3 of the automatic adjusting method provided by the present invention.

[0100] S31a, converting the partitioned pressure information data into image information data;

[0101] S32a, identifying an edge of the image, and dividing the image by partitioning the pressure point;

[0102] S33a, identifying and calculating the length, width, and aspect ratio data of the trunk, and if the data is within the predetermined range, determining that the posture is normal, and vice versa. [0103] First, the pressure of the block is converted into an image, the edges of the image are identified, and then the pressure points are clustered, thereby dividing the segment into pressure blocks. Then the trunk is identified. One way to identify the trunk is to find the width of each row, then use the row with the same width as the trunk, and then find the length, width and aspect ratio of the trunk. If long, If the width and aspect ratio are within a certain range, it is judged to be a normal sleeping position.

[0104] Steps in the step S3 include steps, and FIG. 14 is a schematic flowchart of an embodiment of the method for determining the sleeping position in the step S3 of the automatic adjustment method provided by the present invention.

[0105] S31b, collecting pressure matrices in five sleeping positions in the training sample;

[0106] S32b, identifying each part of the torso, and calculating a characteristic value of a pressure matrix of each part in each sleeping position;

[0107] S33b, using the feature value as an input of the SVM classifier;

[0108] S34b. Obtain an SVM classifier optimal classification hyperplane (wx)+b=0 between each two sleeping postures, and construct a Lagrangian function:

[0109]

[0110] According to the duality of the Lagrangian function, the problem is converted to:

[0111]

[0112] finally obtaining an optimal solution and obtaining a decision function;

[0113] S35b, counting by voting, the most votes are recorded as the sleeping position after the final classification. Obtain the feature values of each part, as the input of the classifier SVM, and then obtain the decision function by introducing the Lagrang function to improve The accuracy of sleeping position recognition.

[0114] The matrix pressures collected above are classified by a support vector machine (SVM), according to the normal vector of the plane of the torso (direction: from the back to the chest) and the normal vector of the bed surface (direction: face up) The angle of separation from 0 to 180° can be divided into multiple levels, such as 0°, 45°, 90°, 135° and 180°.

. Among them, since the human body part is bilaterally symmetrical, it is not distinguished whether the left half of the trunk is the support axis or the right half is the support axis, because for example, the left half is the support axis 45° and the right half is The 135° of the support shaft is equivalent. Therefore, the unified default here is to divide the support axis into the left half, then it can be found that 0° is supine, 180° is prone, and 90° is lying on the side. Therefore, we divide the sleeping position into five types from the angle between the normal vector of the trunk and the normal phase vector of the bed.

[0115] The characteristic values include: the pressure specific gravity of the head and neck region, the trunk region, the hip region, and the size of the leg region, the symmetry of the trunk region and the buttock region, and the variance of the center of gravity of the size and leg regions, and the gradient magnitude and direction of the pressure pixel points, such as pixels. The gradient of point (i, j):

Gi(i,j)=F(i+l,j)-F(i-l,j);

[0117] Gj(i,j)=F(i,j+l)-F(i,j-l);

G(i,j)=sqrt(Gi(i,j)2 + Gj(i,j)2);

[0119] y(i,j)=arctan(Gj(i,j)/ Gi(ij));

[0120] The step of calculating the feature values of the pressure matrix of each part in each sleeping position in step S32b includes: a method for acquiring the symmetry of the trunk region or the hip region, as shown in FIG. 15, FIG. 15 is a A schematic flowchart of an embodiment of a method for acquiring a symmetry feature value of a trunk region and a leg region in the automatic adjustment method step S32b. The process is specifically as follows:

[0121] S32bl, obtaining an array of pressures per row of the torso region or the buttock region;

[0122] S32b2, obtaining a center point of a width and a width of a peak and a 30% peak of the row, that is, a geometric center;

[0123] S32b3, obtaining a barycentric coordinate of the row pressure, and acquiring a distance of the center of gravity coordinate of the geometric center;

[0124] S32b4: Obtain a variance of the center of gravity of each row of the trunk region or the hip region.

[0125] The present invention is practiced to keep the spine in a natural physiological curvature during sleep, and to have appropriate pressure on various parts of the body, to maintain blood circulation, and to have normal nerves in various parts, thereby achieving healthy sleep.

The embodiments of the present invention have been described above with reference to the accompanying drawings, but the present invention is not limited to the above. The above-described embodiments are merely illustrative and not restrictive, and those of ordinary skill in the art, without departing from the scope of the invention, Many forms are also possible, all of which are within the protection of the present invention.

Claims

Claim

[Claim 1] An automatic adjustment bed includes an electric control unit, a mechanical adjustment unit, and a support portion, wherein the electric control unit is coupled to the mechanical adjustment unit, and the mechanical adjustment unit is slidably coupled to the support portion, the support The sections are partitioned according to a predetermined number, the partitions respectively corresponding to the specified parts of the human body, the electronic control part is configured to detect the pressure of the human body part transmitted by each section of the support part and determine the automatic adjustment according to the pressure The real-time state of the human body on the bed and used to drive the mechanical adjustment portion to adjust the height of the predetermined section of the support portion.

[Claim 2] The automatic adjustment bed according to claim 1, wherein the electronic control unit includes a control chip and a predetermined number of partition pressure detecting units, a partition processing circuit, and a driving device, wherein the partition pressure detecting The unit is electrically connected to the partition processing circuit, configured to detect a body part pressure of each of the partitions, and convert the pressure into an analog electrical signal for transmission to the partition processing circuit, and the partition processing circuit passes the 485 The bus is electrically connected to the control chip, and is configured to filter, amplify, and convert the analog digital signal into a required digital signal, and the control chip is electrically connected to the partition processing circuit and the driving device, and is configured to The partition pressure detecting unit data is analyzed, and the driving device is controlled according to a predetermined algorithm, and the driving device is configured to operate according to an instruction of the control chip.

[Claim 3] The automatic adjustment bed according to claim 1, wherein the mechanical adjustment portion includes a predetermined number of adjustment mechanisms, first and second connecting members, a stud and a base, and the adjusting mechanism The first end of the active structure is hinged with the carrier bracket, the second end is slidably connected to the base, the first end of the driven structure is slidably connected to the carrier bracket, the second end is hinged to the base, and the first connecting member is connected to the two An active structure of the adjusting mechanism having a synchronous action, the first connecting member is connected to the stud through a second connecting member, one end of the second connecting member is hinged to the stud, and the other end is fixedly connected with the connecting tube. The stud is threadedly coupled to a drive rod of the drive.

[Claim 4] The self-adjusting bed according to claim 1, wherein the support portion comprises an elastic mattress body and a bearing bracket, and the elastic mattress body is provided with latex and sponge from top to bottom. A separate spring, a zone pressure detecting unit network system is disposed in the intermediate interlayer of the bracket and the independent spring.

[Claim 5] The self-adjusting bed according to claim 4, wherein the carrier bracket is prescribed The number of separate support plates and angles are joined by a joint spring, the resilient mattress body being embedded in the carrier, each of the separate support plates or angles supporting a defined zoned pressure sensing unit.

[Claim 6] The self-adjusting bed according to claim 1, wherein the automatic adjustment bed further comprises a cotton wool, a fabric, and a hem for winding the main structure of the self-adjusting bed.

[Claim 7] The automatic adjustment bed according to claim 2, wherein the partition pressure detecting unit, the partition processing circuit, the driving device, and the adjusting mechanism are in one-to-one correspondence with the partition of the supporting portion, and the partition The same amount.

The automatic adjustment bed according to any one of claims 1 to 7, wherein the number of the divisions is 5 or more.

[Claim 9] A method for automatically adjusting a bed, comprising:

Obtaining basic information of the user, including at least three of gender, height, weight, BMI, length of the trunk, shoulder width, chest circumference, waist circumference, and hip circumference; and lengthwise adjustment of the length of the trunk and the length of the bed body A static muscle model and a spine model are established as a reference when the angle between the normal phase of the trunk and the law of the trunk is 0 degrees; whether the person, the number, the weight, the normal lying position, and the sleeping position of the automatic adjustment bed are performed Identifying; obtaining an angle between the normal phase of the torso and the bed surface method according to the recognition result; acquiring a spatial model of the torso and the automatic adjustment bed, determining a spatial position of each trunk muscle and the spine; according to the spatial position, and referring to The appropriate adjustment height under the muscle model and the adjustment height under the spinal model determine the final adjustment height.

[Attachment 10] The automatic adjustment method according to claim 9, wherein the identification of whether the person, the number of people, the weight, the normal lying position, and the sleeping position are recognized in the automatic adjustment bed The steps include:

Converting the pressure information data of the partition into image information data; identifying an edge of the image, dividing the image by partitioning the pressure point; identifying and calculating the length, width, and aspect ratio data of the trunk, if the data is Within the specified range, it is determined to be a normal lying position, and vice versa.

[Attachment 11] The automatic adjustment method according to claim 9, wherein the pair of the automatic The steps of adjusting the sleeping position recognition in the identification of whether the person, the number, the weight, the normal lying position and the sleeping position are included in the bed include:

Collecting pressure matrices in five sleeping positions in the training sample; identifying various parts of the torso, calculating characteristic values of the pressure matrices of the respective parts in each sleeping position; using the characteristic values as inputs of the SVM classifier;

Obtain the SVM classifier optimal classification hyperplane (wx)+b=0 between each two sleeping positions, and construct a Lagrangian function from this:

, according to the duality of the Lagrangian function, convert the problem to:

Finally, the optimal solution is obtained, and the decision function is obtained. By voting, the most votes are recorded as the final sleeping position.

[Attachment 12] The automatic adjustment method according to claim 11, wherein the feature value includes

: The pressure specific gravity of the head and neck area, the trunk area, the hip area, and the size of the leg area, the gradient size and direction of the pressure pixel point, the symmetry of the trunk area and the hip area, and the variance of the center of gravity of the large and small leg areas.

[Attachment 13] The automatic adjustment method according to claim 11, wherein the calculating the feature value of the pressure points of the respective parts in each sleeping position comprises acquiring the symmetry of the trunk area or the hip area The method for obtaining the symmetry of the torso region or the hip region includes:

Obtaining an array of pressures per row of the torso region or the buttock region; obtaining a peak of the row and a width of 30% of the peak and a center point of the width, that is, a geometric center; acquiring a center of gravity of the discharge pressure Coordinates, and obtain the distance from the geometric center to the center of gravity coordinates; obtain the variance of the center of gravity of each row of the torso region or the buttock region.