WO2019237622A1

WO2019237622A1 - Automatic adjusting mattress and intelligent bed

Info

Publication number: WO2019237622A1
Application number: PCT/CN2018/111193
Authority: WO
Inventors: 孙成俊; 卢坤涛; 刘众; 乐勇
Original assignee: 深圳市格兰莫尔科技有限公司
Priority date: 2018-06-12
Filing date: 2018-10-22
Publication date: 2019-12-19
Also published as: CN213429315U; CN109171315A

Abstract

Provided is a sensor for a mattress, the sensor comprising a sensing structure. The sensing structure comprises a sensing layer, wherein the sensing layer successively comprises from top to bottom: an upper flexible signal transduction layer, a pressure sensing layer and a lower flexible signal transduction layer, the pressure sensing layer comprising a dot-matrix sensor, a strip sensor or a discrete sensor; and a convex-concave structure or a hard material is arranged on an upper side and/or a lower side of the sensing structure. Further provided are an air bag type sensing device, a mattress, an air bag adjustment mattress and an intelligent adjusting bed.

Description

Automatic adjustment of mattresses and smart beds

Technical field

The invention relates to the technical field of intelligent adjustment beds, and in particular, to a sensor, an automatic adjustment mattress including the sensor, and a smart bed.

Background technique

In different sleeping positions, according to ergonomics, the support required by each part of the body is different, and the body pressure in each area is different. From the perspective of maintaining health and balance, lying flat and sideways When lying, you need to maintain the normal physiological curvature of your spine. At present, ordinary mattresses on the market cannot meet this demand, and Wanda can give users a healthy sleep.

Considering the physiological curvature of the spine, the reasonable distribution of body pressure, and the smoothness of the muscles and blood supply, the support of certain areas of the human body needs to be appropriately adjusted. In this case, the mattress also needs to meet the requirements of low cost, which is conducive to mass production and promotion. At the same time, it must be light and transportable, and it must also retain the original comfort of the mattress. At present, the existing solution is to use a motor and a mechanical structure to adjust the height of the mattress in multiple regions. At the same time, it is equipped with a dot matrix sensor module. In theory, it can basically meet the above requirements. In order to ensure comfort, the entire mattress will eventually be thicker.

From a technical point of view, the pressure of various parts of the user's body needs to be detected and adjusted in real time. At present, there is no intelligent adjustment mattress that can achieve this function in the products on the market.

Therefore, in the current market, there is a great demand for mattresses that are automatically adjusted according to sleeping position in multiple regions.

technical problem

The purpose of the embodiments of the present invention is to provide a sensor for a mattress and an intelligent mattress capable of automatic adjustment, which aims to solve the problem that the existing mattress cannot be adjusted in real time according to the sleeping position and pressure at the same time, while taking into account the cost , Experience, weight, and difficulty in industrialization.

Technical solutions

The embodiment of the present invention is implemented as follows. A sensor for a mattress includes a sensing structure, the sensing structure includes a sensing layer, and the sensing layer includes, from top to bottom, a flexible upper signal transmission layer and pressure A sensing layer and a flexible lower-layer signal conducting layer, the pressure sensing layer includes a dot matrix sensor, a strip sensor, or a discrete sensor, and a convex-concave shape is provided on the upper side and / or the lower side of the sensing structure Structure or hard material.

Another object of the embodiment of the present invention is to provide an airbag type sensing device including a pressure sensor and an airbag, the sensor is connected to a spring, the sensor and the spring are both located in the airbag, and the pressure sensor is located at the top of the airbag Or the bottom.

Another object of the embodiment of the present invention is to provide a mattress including the sensor provided by the present invention and an airbag. A comfort layer is provided above the sensor, and a buffer layer is provided below.

Another object of the embodiment of the present invention is to provide an airbag adjusting mattress including a plurality of individual airbags, a relay airbag, an air valve, and a discrete air pipe, wherein the plurality of individual airbags are connected to the transit airbag through a discrete air pipe, and An air valve is provided for controlling the gas flow, and the diameter of the joint between the discrete air pipe and a plurality of individual airbags is larger than the diameter of the joint between the discrete air pipe and the transit airbag.

An embodiment of the present invention further provides an airbag adjusting mattress, including a plurality of individual airbags, an air valve, and an air pipe. Two adjacent individual air bags are connected at both ends through an air pipe, and each air pipe is provided with an air valve to control air flow. Flow.

An embodiment of the present invention further provides an intelligent adjustment bed including the airbag adjustment mattress of the present invention.

Beneficial effect

The technical solution of the present application uses a combination of an airbag and a flexible sensing structure, both of which correspond to the functions of regulation and sensing, respectively. This setup can greatly reduce the weight and cost while meeting the functional requirements, and because the air pump and flexible sensors are non-hard, it is easier to meet the comfort requirements.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a mattress structure provided by an embodiment of the present invention.

FIG. 2 is a partial structure of a mattress according to another embodiment of the present invention.

FIG. 3 is a schematic diagram of an arrangement of sensing layers in a sensor according to an embodiment of the present invention.

FIG. 4 is a schematic structural diagram of a sensor according to an embodiment of the present invention.

FIG. 5 is a schematic structural diagram of a sensor according to another embodiment of the present invention.

FIG. 6 is a schematic structural diagram of a sensing structure according to an embodiment of the present invention.

FIG. 7 is a schematic structural diagram of a sensing structure according to another embodiment of the present invention.

FIG. 8 is a schematic structural diagram of a sensing structure according to another embodiment of the present invention.

FIG. 9 is a schematic diagram of a partition structure of a sensing structure according to another embodiment of the present invention.

FIG. 10 is a schematic structural diagram of a sensing structure according to another embodiment of the present invention.

FIG. 11 is a cross-sectional view of the sensing structure shown in FIG. 10.

FIG. 12 is a schematic structural diagram of a sensing structure according to another embodiment of the present invention.

FIG. 13 is a schematic structural diagram of a sensing structure according to another embodiment of the present invention.

FIG. 14 is a schematic structural diagram of a sensing structure according to another embodiment of the present invention.

15 is a schematic structural diagram of a sensing structure in which a buffer layer is cut according to another embodiment of the present invention.

FIG. 16 is a schematic structural diagram of an airbag sensor structure according to an embodiment of the present invention.

FIG. 17 is a schematic structural diagram of an airbag sensor structure according to an embodiment of the present invention.

FIG. 18 is a schematic structural diagram of an air pressure including an air pressure sensor according to an embodiment of the present invention.

FIG. 19A is a schematic structural diagram of a mattress provided by an embodiment of the present invention.

FIG. 19B is a schematic structural diagram of the discrete trachea in FIG. 19A.

FIG. 19C is a schematic structural diagram of the air pump with a sound insulation device in FIG. 19A.

FIG. 20 is a schematic structural diagram of a mattress according to another embodiment of the present invention.

FIG. 21 is a schematic structural diagram of an airbag mattress provided by an embodiment of the present invention.

FIG. 22 is a schematic diagram of a circuit structure according to an embodiment of the present invention.

FIG. 23 is a flowchart of system control according to an embodiment of the present invention.

FIG. 24 is a schematic structural diagram of a low-pass filter used in an embodiment of the present invention.

FIG. 25 is a schematic structural diagram of a low-pass filter used in an embodiment of the present invention.

FIG. 26 is a circuit structural diagram of a multi-stage instrumentation amplification and filtering provided by an embodiment of the present invention.

FIG. 27 is a sensor recognition process method provided by an embodiment of the present invention.

FIG. 28 is a flowchart of a torso recognition method according to an embodiment of the present invention.

FIG. 29 is a specific step of determining a sleeping position according to an embodiment of the present invention.

FIG. 30 is a specific step of determining the torso area symmetry (SYM) provided by an embodiment of the present invention.

FIG. 31 is a schematic diagram of an adjustment algorithm of an intelligent adjustment bed according to an embodiment of the present invention.

Embodiments of the invention

In order to make the technical problems, technical solutions, and beneficial effects of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

An embodiment of the present invention provides a sensor for a smart bed. The sensor may be a piezoresistive sensor, a pressure-capacitive sensor, or a strain-type pressure sensor according to a material type.

Specifically, the sensor includes a sensing structure, the sensing structure includes a sensing layer, and the sensing layer includes, from top to bottom, a flexible upper signal transmission layer, a pressure sensing layer, and a flexible lower signal transmission layer, the pressure The sensing layer includes a dot matrix sensor, a strip sensor, or a discrete sensor, and a convex-concave structure or a hard material is provided on the upper side and / or the lower side of the sensing structure.

In the embodiment of the present invention, the mattress according to the relationship between the sensing and regulating module can be divided into: a sensing and regulating independent structure (see FIG. 1) and a combined sensing airbag structure (as shown in FIG. 2). FIG. 1 shows an embodiment of a mattress with independent sensing structure and adjusting structure. As shown in FIG. 1, the mattress includes a comfort layer, a sensing layer, a buffer layer, and an airbag layer in order from top to bottom. A buffer layer is provided between the sensing layer and the airbag layer (adjusting structure), and the two are spatially independent and do not affect each other. The airbag adjusts the height of the corresponding part of the mattress by inflating and deflating. The sensing layer mainly includes: a flexible upper signal conducting layer, a flexible lower signal conducting layer, and an intermediate pressure sensing layer.

FIG. 2 shows an embodiment in which the sensing layer and the adjustment layer are integrated into one body. In this embodiment, a sensor adjustment layer is provided below the comfort layer of the mattress, and the airbag is fused in the sensor-adjustment layer. Integrating the sensing layer and the adjustment layer into a whole, compared with the embodiment of FIG. 1, the thickness of the mattress is significantly reduced, and the use of the buffer layer is reduced. On the other hand, the cost and weight are also reduced.

The sensing layer used in the embodiment of the present invention may be configured as a dot matrix sensor, a strip sensor, or a discrete sensor. For a dot matrix sensor, also known as a planar dot matrix sensor, the sensor is a whole layered flexible film with a distributed sensing unit arranged in a matrix, as shown in Figure 3, which shows the arrangement of the sensing unit. Among them, the sensing units are arranged in an array, each row has a row of scanning lines, and each column has a signal output line. This arrangement can obtain the dot matrix pressure value of the sensor membrane.

In another embodiment, the sensor is a sensor composed of multiple strip-shaped sensing units. The sensor in this embodiment has multiple sensing units arranged side by side, as shown in FIG. 4, where each strip (sensor The unit) includes multiple single sensors. The difference between this embodiment and the embodiment shown in FIG. 3 is that the setting method of the strip sensor can be arbitrarily selected for placement, that is, the setting is more flexible, and the arrangement is denser and denser. Degree, can realize the key monitoring of pressure in some areas.

In another embodiment, the sensor is a discrete sensor. As shown in FIG. 5, each point is an independent sensing unit, so that the sensing layer can achieve size adjustment and free setting of position. The embodiments of FIG. 3 and FIG. 4 are more flexible.

FIG. 6 shows a distribution diagram of a sensing layer in an embodiment of the present invention. The sensor includes a flexible top signal layer and a flexible bottom signal layer, and a core sensing layer located between the two. The flexible top signal layer is also referred to as a flexible top trace layer, and the flexible bottom signal layer is also referred to as a flexible bottom trace layer. The sensing module has a comfort layer above it and a buffer layer below it to isolate the sensing layer from the conditioning layer. The problem with this self-contained sensing structure is that the pressure on the mattress surface is distributed to the surroundings horizontally through the medium layer (comfort layer), which causes the independency of the sensing data, which causes the pressure on the sensing layer to be different from the actual pressure. There is a certain deviation in the body pressure of the sleeper, which makes the detection result inaccurate. In order to reduce this deviation, the present invention proposes the following solutions: 1. Thickness compensation method, 2. Hardness compensation method, 3. Cutting legislation.

The first method, the thickness compensation method, specifically implements a convex-concave structure on or under the sensing unit, or makes a comfortable layer above the sensing layer structure or a buffer layer below the concave-convex structure or Both are uneven.

FIG. 7 shows a schematic diagram of a mattress structure in which the bottom buffer layer is made into a concave-convex shape in one embodiment of the present invention, and FIG. 8 shows an embodiment in which the buffer layer and the comfort layer are both provided with a concave-convex shape. The purpose of making a concave-convex structure is that when a signal acts on the comfort layer, it will inevitably cause deformation of all materials in the thickness direction of the stressed area. Since the material of the sensing area of the sensor is thicker than that of other areas (non-sensing areas), pressure is preferentially applied to the sensing area. Therefore, in the case of equivalent thickness, the elastic coefficient of the sensing area Should be greater than the elastic coefficient of the surrounding area (non-sensing area, that is, the area that does not contain the sensing unit), as shown in Figure 9, where K1 represents the elastic coefficient of the sensing area and K2 represents the elastic coefficient of the non-sensing area, as above. As mentioned, K1> K2. In this case, the pressure is preferentially allocated to the sensing area. This setting will reduce the lateral transfer of pressure, while increasing the independence of the sensor and improving the detection sensitivity.

The second method, the hardness compensation method, is specifically filled with a hard material by lining a hard module above or below the sensing unit, or digging a groove on the comfort layer or the buffer layer below the sensing unit. As shown in Figure 10, the figure only shows the structure of the sensing layer. A hard material is placed in the sensing area. The elastic coefficient of this hard material is higher than that of the comfort layer, so the overall elasticity of the sensing area The coefficient is higher than other areas (non-sensing areas), which can also achieve the purpose of more independent sensors. FIG. 11 is a cross-sectional view of the structure of the sensing layer shown in FIG. 10. The comfort layer of the mattress in the embodiment of the present invention is the structural layer on the top of the mattress closest to the user. The comfort layer may include the following materials: sponge, latex, memory cotton, mountain palm, coconut palm, jute, gel factor latex, gel factor memory cotton, gel factor sponge, and bamboo charcoal fiber cotton.

Figures 12-14 show structural diagrams of an embodiment of a mattress with a rigid pad (filler). Figure 12 shows a mattress with a portion of the thickness cut out of the side of the comfort layer that touches the sensing area and then filled with a hard filler. In another embodiment, the hard filler is filled into the bottom buffer layer, as shown in FIG. 13. In another embodiment, the comfort layer and the cushion layer are both filled with a hard pad. In another specific embodiment, a hard pad is placed above the bottom buffer layer and below the sensing layer, as shown in FIG. 14.

The third solution, cutting legislation, specifically refers to cutting the upper comfort layer to a certain thickness in the column direction of the sensing unit (cut marks can pass through the comfort layer or not pass through the comfort layer), As a result, the sensing units have better independence and avoid mutual interference. The specific structure is shown in FIG. 15. The cutting lines of the comfort layer in FIG. 15 are parallel to each other and parallel to the arrangement direction of the individual sensors.

In a preferred embodiment, the cutting discrete scheme is used in combination with the strip-shaped sensing unit shown in FIG. 4. And the cutting mark of the comfort layer corresponds to the edge of the strip-shaped sensor unit, so the lateral conduction effect of setting the blocking pressure is more significant.

The mattress provided in the embodiment of the present invention further includes an adjustment device, and the sensor transmits information to the adjustment device after detecting the pressure condition on the mattress, and the adjustment device adaptively adjusts the height of the surface of the mattress so that the user is most comfortable. Sleeping position. The adjusting device used in the embodiment of the present invention may be an airbag adjusting device, or may be another adjusting device.

Another embodiment of the present invention provides a combined airbag-type sensing structure, in which the sensor and the adjustment airbag in the combined airbag-type sensing structure are an integrated structure, that is, an adjustment-sensing structure, as shown in FIG. 2. In this way, after the sensor recognition, the adjustment is performed, and at the same time, the sensor feedback is continuously performed to achieve more precise adjustment, which effectively realizes the integration of sensor adjustment. The combined airbag sensor structure mainly includes three parts: airbag, sensor, and airflow meter. When pressure is applied to the airbag, the elasticity of the airbag itself can offset some of the pressure, and other pressures are applied to the sensor. Therefore, the force obtained on the sensor is not exactly equal to the actual pressure, and there will be a slight deviation. The elasticity of the airbag itself or the offset pressure is related to the air pressure in the airbag. Compensation and correction.

Specifically, the combined sensing airbag structure may be a sensor located at the top or bottom of the airbag. As shown in FIG. 16, one end of the spring is connected to the top of the airbag and the other end is connected to a pressure sensor, which is located at the bottom of the airbag. When pressure is applied to the airbag, it is transmitted to the pressure sensor through the spring.

A pressure sensor may also be provided on the top or bottom of the outside of the airbag, and the pressure sensor can collect the pressure level in the airbag area, as shown in FIG. 17. The structure shown in FIG. 17 can be rotated 180 ° (that is, the pressure sensor is located above the airbag) to obtain a similar effect of integration of sensing and adjustment.

As shown in FIG. 18 in another embodiment, the air pressure sensor is located on the wall of the air bag, or the air pressure sensor may also be located on the inner wall of the air bag. When the air bag is inflated and deflated, the air pressure in the air bag must be changed. When the airbag is under pressure, the air pressure sensor will also feel the corresponding change in pressure, thereby detecting the pressure.

An embodiment of the present invention also provides an airbag-type mattress adjustment structure, which is explained by the following specific embodiments:

Example 1:

The mattress provided in this embodiment uses an airbag adjustment method, as shown in FIG. 19A, in which the bottom of the mattress is arranged by a row of individual airbags, and each individual airbag is connected with an air pipe, which is convenient for regulating the pressure in a smaller area. And lift. Both the air bag and the air pipe are connected to the transfer air bag, which is controlled by an air valve in the middle, and the transfer air bag is connected with the overall air pipe and the air pump. The transit airbag is used to store air pressure, which is convenient for the regulation of individual airbags. The air valve and air pump are used to control the inflation and deflation of each air bag, thereby adjusting the softness and hardness of each air bag.

On the other hand, in the embodiment of the present invention, the discrete trachea adopts a trachea with a varying caliber. As shown in FIG. 19B, the caliber of the trachea at the individual airbag is relatively large, and the caliber of the trachea at the transit airbag is relatively small. In the case, the airflow speed of the airbag is reduced during inflation and deflation, and the sound of the airflow in the airbag is reduced.

Preferably, the air pump is placed in the soundproof box and the buffer layer, which is used to slow down the vibration of the air pump and reduce the sound of the air pump, as shown in FIG. 19C.

Example 2:

Compared with Embodiment 1, this embodiment adds a motor module. As shown in FIG. 20, the motor module is connected to the transfer airbag through a screw rod and a nut.

In specific operations, a sufficient amount of gas is pre-charged to the transfer airbag through an air pump, and then the air pump is turned off. During use, the corresponding air pipe is opened by the air valve, and the motor screw is rotated to push the nut to squeeze or move away from the transit airbag, so as to increase the air pressure of the transit airbag and press the gas into the airbag inside the mattress or reduce the transit airbag. The air pressure of the airbag inside the mattress enters the transit airbag, thereby adjusting the softness of the airbag.

Example 3:

The mattress in this embodiment is shown in FIG. 21. The bottom of the mattress is arranged by a row of airbags. Adjacent airbags communicate with each other through trachea. Each air pipe is controlled by a valve. Two adjacent individual airbags can directly regulate each other's air flow through the air valve.

When a person is lying on a mattress, where there is high pressure on the buttocks, the gas from the airbag with a higher pressure will flow through the air pipe of the opened valve to the airbag with a lower pressure.

In this mattress, the airbag is divided into three parts by the air valve, the head part, the spine part, and the leg and foot parts, and the individual airbags inside the three parts can realize the mutual flow of airflow. Further, the spine portion includes a neck, a shoulder, a back, a waist, and a hip. When a person lies on a mattress, the pressure on the buttocks is greater, and the pressure on the waist is less. The gas in the airbag in which the hips are located flows into the airbag in which the waists are located, thereby supporting the waist.

In addition, the algorithm can be used to control the opening and closing of the valve, so that the same airbags can be connected to each other, so that the specified airbag can be quickly inflated and deflated. Compared with Embodiments 1 and 2, this embodiment has low manufacturing cost, light weight, and is convenient for transportation and installation.

The improvement points of the embodiment of the present invention are: the setting for reducing the sound of airflow: the caliber of the trachea at the discrete airbag is relatively large, and the caliber of the trachea of the transit airbag is relatively small, which can reduce the sound of the airflow of the trachea; The motor squeezes the relay airbag to inflate and deflate the airbag of the mattress, reducing the sound brought by the air pump. At the same time, the speed of inflation and deflation can be controlled by changing the rotation speed of the motor to reduce the sound of airflow in the air pipe. For the mattress in Example 3: When different people lie on the mattress, the positions of the head part, spine part, and leg area are different, and the position of the air valve switch can be changed to adapt to the changes of the position of the three parts in real time. This embodiment can significantly reduce production costs.

Circuit configuration

The mattress in the embodiment of the present invention further includes a circuit module structure. The circuit module structure mainly includes a sensing array scanning signal generating unit, a sensing signal amplification and filtering unit, an AD unit, a main control unit (MCU), and an airbag control unit, such as Figure 22 shows.

The circuit module used in the embodiment of the present invention mainly includes the following modules:

1. Filter amplification unit: mainly low-pass filtering and amplification of small signals output by the sensor array;

2. Signal scanning unit: forming a line scanning signal of the sensor;

3. AD unit: AD processed the filtered and amplified signal into a digital signal;

4. MCU unit: It mainly preprocesses the sensor signals after AD, and then performs sensor recognition algorithms and adjustment algorithms;

5. Airbag control unit: It is mainly the drive module for controlling the air pump of the airbag.

The system control flow of the embodiment of the present invention is shown in FIG. 23.

Systematic key technical points of the present invention

1, signal noise processing

When a person is lying still, the pressure is a static DC signal. The change in pressure can be regarded as the change of the DC operating point of the circuit. However, due to environmental factors, such as power frequency interference or environmental micro-vibrations, as well as circuit components and power sources, noise will be introduced at the output of the sensing signal. In severe cases, the noise of the signal will even drown some small amplitudes. Valid signal. Under the premise of a certain sensitivity of the sensor, it is necessary to reduce the output noise of the signal. For this reason, it is proposed in the present application to reduce signal noise and improve signal-to-noise ratio through circuit noise reduction and algorithm noise reduction.

(1) Circuit noise reduction: low-pass filter

Since pressure is a static signal, the frequency can be considered to be extremely low, while environmental and circuit noise is a kind of white noise, that is, the noise is distributed in various frequency bands. Therefore, when the circuit is designed, adding low-pass filtering to the sensing signal end will greatly To reduce environmental noise.

As shown in Figure 24, a simple low-pass filter is provided. When the sensor changes its impedance due to deformation, it will cause the output DC level to change. The low-pass filter structure composed of resistor R and capacitor C can achieve first order Low-pass filtering with a cut-off frequency f ₀ :

.

Figure 25 shows a low-pass filter circuit diagram of another sensing structure. Among them, R1, R2, R3, and R4 form a group of full-bridge structures. The resistance values of R1 and R2 change in opposite directions, the resistance values of R3 and R4 change in opposite directions, and the resistance changes of R1 and R3 are opposite. When pressure is applied to the sensor, it will cause a voltage difference between the + and-ends of the operational amplifier, and RC forms a low-pass feedback loop. Its cut-off frequency f ₀ is:

.

Figure 26 shows a multi-stage low-pass high-precision multi-stage instrumentation amplifier filter circuit structure diagram, where R1 = R2 = R3 = R4 = R, R1, R2, R3, and R4 form a group of sensors with a full bridge structure The resistance values of R1 and R2 change in opposite directions, the resistance values of R3 and R4 change in opposite directions, and the resistance values of R1 and R3 change in opposite directions. Among them, the output resistance of C1 and the sensor will constitute the first-order low-pass filtering, and its cut-off frequency f ₁ :

.

R5 and C2, R6, and C3 form a second-order low-pass filter, where R5 = R6 and C2 = C3. Second-order low-pass cut-off frequency f2:

.

At the output of the last stage of the amplifier, R13 and C4 perform the third-order passive low-pass RC filtering, and their cutoff frequencies are:

.

These three orders can be arbitrarily selected for first or multiple orders for filtering.

(2) Algorithm for noise reduction:

Set specific thresholds based on the characteristics of the sensing structure and the measured value database to handle noise.

Algorithm noise reduction is mainly to process digital signals after AD. The methods of noise reduction are: digital signal filter, mean smoothing filter and image denoising method.

Signal digital filter is by adding multi-order FIR or IIR low-pass filter, cut-off frequency can be 1HZ to 100Hz, and 50Hz power frequency notch filter to remove power frequency interference.

Mean filtering can remove glitches in some signals, that is,

.

(3) Image denoising:

The sensing data is regarded as a piece of image data, and the data of the sensing dot matrix corresponds to the value of each pixel in the picture. The related denoising algorithm of the image is used for denoising, including morphological open operation or morphological closed operation. That is, the image formed by the sensing data is binarized, and then the method of expansion first and then corrosion or first corrosion and then expansion is performed to denoise the data.

2.Recognition algorithm

An embodiment of the present invention further provides a sensor recognition method, which includes: number recognition, whether overweight, body movement, and sleeping position recognition and adjustment algorithms, as shown in FIG. 27.

1.Sensor matrix data acquisition

The sensing array converts the pressure of each sensing area into a voltage, and then converts it into a data signal through the ADC, thereby obtaining the pressure matrix S [r] [c] of the entire bed, where r and c are the number of rows of the array and The number of columns.

2.Is there anyone identified?

Each pressure value of the pressure matrix is determined, and when all the pressure values are less than the determination threshold Sth1 of no one, it is determined that no one is.

3. Overweight recognition

Sum all elements of the matrix, Sum (S [i] [j]), if it exceeds the threshold Sowth1, it is determined to be overweight; or if an element S [i] [j] in the matrix exceeds the second threshold Sowth2, the same It was also judged to be overweight.

4, number identification

Find the horizontal gradient of the matrix S, gradSx, take the extreme value of gradSx [j] of each row, and determine the number of people by the number of extreme values.

5.Identification of normal lying

The pressure of the block is first converted into an image, the edges of the image are first recognized, and then the pressure points are clustered to segment the pressure into a pressure block. Then, torso recognition is performed on the block. One method of torso recognition is to find the width of each row, then use the number of rows of similar width as the torso part, and then find the length, width, and aspect ratio of the torso part. When the width and length-to-width ratios are within a certain range, it is determined that the sleeping position is normally lying, as shown in FIG. 28.

6. Sleeping position recognition algorithm based on SVM machine learning

Use the support vector machine (SVM) to classify the collected matrix pressures. The angle between the normal vector of the trunk plane (direction: from the back to the chest) and the normal vector of the bed surface (direction: front-up) is from 0 ~ 180 ° classifies the sleeping position and can be divided into multiple levels, such as 0 °, 45 °, 90 °, 135 °, and 180 °. Among them, since the torso of a person is bilaterally symmetrical, it is not distinguished whether the left half of the trunk is used as the support axis or the right half as the support axis, because, for example, 45 ° with the left half as the support axis and the right half as 135 ° of the supporting shaft is equivalent. Therefore, the unified default here is to divide the left half into the supporting axis, then you can find that 0 ° is lying on the back, 180 ° is lying on the stomach, and 90 ° is lying on the side. Therefore, from the angle between the normal vector of the torso and the normal phase vector of the bed surface, we divide the sleeping position into five types.

The specific steps are shown in Figure 29, where:

S1: Collect the stress matrix in 5 sleeping positions of training samples;

S2: The torso region recognition algorithm in [5] is used to identify the head and neck region, the torso region, the buttocks, and the big and small leg regions;

S3: Calculate the eigenvalues of the pressure matrix. The eigenvalues mainly include:

(1) The pressure proportions of the four body regions (head and neck region, torso region, hips, and big and small leg regions),

(2) The gradient size and gradient direction of the pressure pixel, such as the gradient of the pixel (i, j):

Gi (i, j) = F (i + 1, j) -F (i-1, j);

Gj (i, j) = F (i, j + 1) -F (i, j-1);

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

γ (i, j) = arctan (Gj (i, j) / Gi (i, j));

(3) SYM of trunk area symmetry:

SYM calculation process:

(4) symmetry SYM in the hip area;

(5) The variance of the center of gravity of the leg area in each row.

S4: Use the feature values in each sleeping position obtained by S3 as the input of the SVM classifier

S5: Find the optimal classifier hyperplane (w X) + b = 0 between each two sleeping positions and construct a Lagrange function

According to the duality of the Lagrange function, the problem is transformed into:

Finally, the optimal solution is obtained, and a decision function is obtained.

S6: Find the decision function between two sleeping positions.

S7: By counting the votes, those with more votes are recorded as the sleeping position after the final classification.

7, adjust the algorithm, the specific steps are shown in Figure 31:

S1: Obtain the basic information of the user, including: gender, height, weight, BMI, length of the trunk, shoulder width, bust, waist, hip and other information.

S2: Establish a muscle model and a spine model under static conditions. In so-called static conditions, the spatial position relationship between the trunk and the bed is not considered. The length direction of the trunk can be consistent with the length of the bed. As a benchmark. The muscle model is the size of each part of the trunk, the spine model is the length of the spine, and the curvature of several key nodes (cervical, thoracic, lumbar, and tail).

S3: The position of each area of the user and the angle between the direction of the body and the length of the bed obtained by the sleeping position recognition.

S4: Obtain an angle between the normal phase of the trunk and the normal phase of the bed surface through the sleeping position recognition in step 6.

S5: Combining S2, S3, and S4 can obtain the spatial model of the human torso and bed, that is, the position of each torso of the human body, including muscles and spines, is determined under the bed as the reference system.

S6: Calculate the adjustment height of each pixel lattice. The adjustment height can weigh the appropriate adjustment height under the muscle model and the adjustment height under the spine model as the final adjustment height. Because the ultimate goal of adjusting the height is to get the best fit between the bed and the spine, and to obtain the best force support for each part of the spine, of course, you must also take into account the muscle comfort.

The above description is only the preferred embodiments of the present invention and is not intended to limit the present invention. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention shall be included in the protection of the present invention. Within range.

Claims

A sensor for a mattress includes a sensing structure, the sensing structure includes a sensing layer, and the sensing layer includes, from top to bottom, a flexible upper signal conductive layer, a pressure sensing layer, and a flexible lower signal conductive layer. The pressure sensing layer includes a dot matrix sensor, a strip sensor, or a discrete sensor, and a convex-concave structure or a hard material is provided on an upper side and / or a lower side of the sensing structure.
The sensor according to claim 1, wherein the sensor includes a sensing region and a non-sensing region, and an elastic coefficient of the sensing region is greater than an elastic coefficient of the non-sensing region.
The sensor according to claim 1, wherein the hard material is provided by way of filling, and an elastic coefficient of the hard material is higher than an elastic coefficient of a structural layer where the hard material is located.
The sensor according to claim 1, further comprising an airbag structure, the airbag structure comprising an airbag, a sensor, and an airflow meter.
An airbag type sensing device includes a pressure sensor and an airbag, the sensor is connected to a spring, the sensor and the spring are both located in the airbag, and the pressure sensor is located at the top or the bottom of the airbag.
A mattress comprising the sensor according to claim 1, further comprising an airbag, a comfort layer is provided above the sensor, and a buffer layer is provided below.
The mattress according to claim 6, wherein a cut of a certain thickness is performed on the comfort layer, and the cut penetrates or does not penetrate the comfort layer.
The mattress according to claim 7, wherein the pressure sensing layer is a strip sensor, and the cutting direction is parallel to the arrangement direction of the individual sensors in the strip sensor.
The mattress according to claim 6, further comprising a circuit module, the circuit module comprising a sensor array scan signal generating unit, a filter amplifying unit, an AD unit, a main control unit, and an airbag control unit.
An airbag adjusting mattress includes a plurality of individual airbags, a transfer airbag, an air valve, and a discrete air pipe, wherein the plurality of individual airbags are connected to the transfer airbag through a discrete air pipe, and an air valve is provided on the discrete air pipe to control the gas flow. The caliber at the junction of the discrete trachea and a plurality of individual airbags is larger than the caliber at the junction of the discrete trachea and a transit airbag.
The airbag adjustment mattress according to claim 10, wherein the airbag adjustment mattress further comprises a motor module, and the motor module is connected to the transit airbag through a screw rod and a nut.
An airbag adjusting mattress includes a plurality of individual airbags, an air valve, and an air pipe. Two adjacent individual air bags are connected at both ends through an air pipe. Each air pipe is provided with an air valve to control the flow of airflow.
The airbag adjusting mattress according to claim 12, wherein the plurality of individual airbags are divided into three parts as a whole, respectively corresponding to a head part, a spine part, and a leg and foot part, and the individual airbags in the three parts The air currents can circulate with each other.
The airbag adjusting mattress according to claim 10 or 12, further comprising a circuit module, the circuit module comprising a sensor array scan signal generating unit, a filter amplifying unit, an AD unit, a main control unit, and an airbag control unit.
An intelligent adjustment bed, comprising the airbag adjustment mattress according to any one of claims 10-14.