Method for controlling string bed

Abstract

The present invention relates to a method for controlling a string bed and, more specifically, to a method for controlling a string bed, which enables the deep sleep of a user to be induced and maintained by analyzing a sleeping posture of the user by using a body pressure sensor during sleep on a mattress having a 3D string, and controlling to adjust air pressure (hardness) of the 3D string and / or adjust tilting of the mattress, in real time according to the result of the analysis. The method for controlling a string bed, according to an embodiment of the present invention, comprises the steps of: (A) outputting, to a monitoring server through a smart controller, a plurality of sensing values obtained by sensing body pressure via a body pressure sensor on a 3D string when a user sleeps on a mattress having the 3D string; (B) analyzing, by the monitoring server, the plurality of sensing values to identify a sleeping posture of the user; (C) determining, by the monitoring server, hardness suitable for the sleeping posture and transmitting a control signal to the smart controller; and (D) controlling, by the smart controller, an operation of a hardness adjustment pump according to the control signal to adjust the hardness of the 3D string.

Description

Stringbed control method

[0001] The present invention relates to a string bed control method, and more particularly, to a string bed control method that analyzes a user's sleeping posture using a body pressure sensor during sleep on a mattress equipped with a 3D string, and controls the air pressure (hardness) of the 3D string and / or the tilting of the mattress in real time according to the analysis result, thereby inducing and maintaining a good night's sleep for the user.

[0002] Generally, a bed is a piece of furniture designed for users to sleep on, and is assembled by loading and fixing a mattress on a bed frame made of metal or wood.

[0003] Here, the mattress can be detachably attached to the bed frame so that it can be replaced with another mattress of the same or similar specifications.

[0004] The above mattress is a bed component that actually comes into contact with the user's body, and in order to provide comfort to the user, a plurality of spring members are placed inside, and the plurality of spring members are woven together using steel wires or the like to have a predetermined external shape, and then the external shape is finished with a mattress cover made of fabric or cushion material.

[0005] In order to diversify their functionality, recent mattresses are not manufactured using the traditional spring material method, but rather using materials with improved elastic properties such as latex or sponge.

[0006]

[0007] Meanwhile, people unconsciously move their bodies during sleep to distribute body pressure, regulate body temperature, and promote blood circulation.

[0008] At this time, pressure may be concentrated in certain areas of the body due to the individual postures that are naturally taken, and people unconsciously toss and turn to improve the discomfort in those areas where pressure is concentrated, and this tossing and turning interferes with deep sleep.

[0009] Recently, medical institutions have been conducting polysomnography tests in which users are asked to attach sensors to their bodies and sleep in an experimental environment to obtain information about their sleeping posture, and the users are observed through multiple cameras. Information is collected and analyzed based on the results of the polysomnography tests. However, there has been a problem that it cannot fundamentally solve the problem of users' deep sleep.

[0010] The present invention has been devised to solve the above-described problem, and the purpose of the present invention is to provide a string bed control method that can induce and maintain a good night's sleep for a user by analyzing the user's sleeping posture using a body pressure sensor during sleep in a mattress equipped with a 3D string that maintains a predetermined gap even when a predetermined weight is added and provides a more comfortable cushioning feeling to the user through air cushioning, and controlling the air pressure (hardness) of the 3D string and / or the tilting of the mattress in real time according to the analysis result.

[0011] In order to achieve the above-described purpose, a string bed control method according to an embodiment of the present invention comprises the steps of: (A) outputting a plurality of sensing values ​​obtained by sensing body pressure from a body pressure sensor on the upper part of a 3D string when a user sleeps on a mattress equipped with a 3D string to a monitoring server through a smart controller;

[0012] (B) A step of analyzing a plurality of sensing values ​​in the monitoring server to determine the user's sleeping posture;

[0013] (C) a step of determining a hardness suitable for a sleeping position in the monitoring server and transmitting a control signal to a smart controller; and

[0014] (D) A step of controlling the operation of a hardness control pump according to a control signal from the smart controller to control the hardness of the 3D string;

[0015] In addition, the body pressure sensor is characterized by having a plurality of flexible thin film resistance lines arranged to cross horizontally and vertically on an insulating fabric, and sensing body pressure by the resistance measured at the intersection.

[0016] In addition, (a) the user setting is performed to recommend a hardness suitable for the user's sleeping posture before step (A), and in step (A), the hardness is adjusted to the hardness recommended in step (a) at the beginning of sleep.

[0017] In addition, the above step (a) is a step of (a-1) initializing the smart controller while the user is lying on the mattress in an upright position, and then injecting air into the 3D string to achieve maximum hardness;

[0018] (a-2) A step of finding a point where the 3D string touches the pressure sensor while discharging air, and outputting a plurality of numerical values ​​(sensing values) of the pressure at that point to the monitoring server through a smart controller; and

[0019] (ㄱ-3) It is characterized by performing a step of recommending a hardness suitable for the user by checking the contact point where the pressure is well distributed in the monitoring server.

[0020] In addition, in the above step (C), the hardness is lowered for other sleeping positions based on the user's sleeping position being the upright position.

[0021] Additionally, it is characterized by increasing or decreasing the hardness according to the user's body mass index (BMI).

[0022] In addition, in the step (C), the control signal is controlled so that the hardness can be adjusted only when the user is in a sleeping state, but in a deep sleep state and maintains the same sleeping posture for more than 5 minutes.

[0023] In addition, in the step (C), the tilting is determined to suit the user's sleeping posture, a control signal is transmitted to the smart controller, and in the step (D), the operation of the tilting control pump is controlled according to the control signal to adjust the tilting of the mattress.

[0024] In addition, five air chambers are provided in the front, back, left, right, and center at the bottom of the mattress, and the air chambers are each connected to a tilt control pump, and the tilt control pumps are each controlled for operation by a single smart controller.

[0025] In addition, (B-1) a step in which the monitoring server lists a number of sensing values ​​transmitted from the pressure sensor in step (B);

[0026] (B-2) A step of converting a numerical list in the above monitoring server into an array such as an m*n array of pressure sensors; and

[0027] (B-3) It is characterized by performing a step of expressing the color by changing the saturation according to the number after selecting the color by number.

[0028] And in the above step (B-3), the 9 numbers in the 3*3 array are divided into one group, and the 8 surrounding numbers are changed at a certain ratio according to the change in one number among them.

[0029] According to the solution to the above-described problem, a mattress equipped with a 3D string that maintains a predetermined gap even when a predetermined weight is added and provides a more comfortable cushioning feeling to the user through air cushioning analyzes the user's sleeping posture using a body pressure sensor during sleep, and controls the air pressure (hardness) of the 3D string and / or the tilting of the mattress in real time according to the analysis result, thereby inducing and maintaining a good night's sleep for the user.

[0030] FIG. 1 is a block diagram of a system applied to a string bed control method according to an embodiment of the present invention.

[0031] Figures 2 and 3 are internal configuration diagrams of the smart controller and pressure sensor unit shown in Figure 1.

[0032] Figure 4 is an example of a string mattress applied to the present invention.

[0033] Figure 5 is an example diagram of a string bed applied to the present invention.

[0034] Figure 6 is a flowchart showing a string bed control method according to an embodiment of the present invention.

[0035] Figure 7 is a flowchart showing the process of colorizing the body pressure (sensing value) of Figure 6.

[0036] Figure 8 is a flowchart specifically illustrating the user setting steps of Figure 6.

[0037] Figures 9 to 12 are drawings for explaining each step shown in Figure 7.

[0038] Hereinafter, the configuration and operation of an embodiment of the present invention will be described with reference to the attached drawings.

[0039] FIG. 1 is a block diagram of a system applied to a string bed control method according to an embodiment of the present invention, FIGS. 2 and 3 are internal diagrams of a smart controller and a pressure sensor unit shown in FIG. 1, FIG. 4 is an example diagram of a string mattress applied to the present invention, and FIG. 5 is an example diagram of a string bed applied to the present invention.

[0040] As shown in FIGS. 1 to 5, the system applied to the present invention is configured to include a smart controller (110), a 3D string (120), a body pressure sensor unit (130), a user terminal (140), a monitoring server (150), an air chamber (30a,…,30n), and a tilting control pump (160a,…,160n).

[0041] The above 3D string (120) is provided in the mattress (10) constituting the string bed as shown in FIG. 4, and is made of, for example, 14 million threads (high-strength, low-shrinkage yarn made of polyester) (122), and has an ideal structure for distributing body pressure by preventing the balloon effect through a three-dimensional three-dimensional weaving method and maintaining a perfect horizontal plane to evenly distribute body pressure of different sizes coming down from the human body.

[0042] That is, each person has a different body shape (curvature), and the greatest strength of the 3D string (120) when the pressure is adjusted is that it can adapt to the curvature of the human body.

[0043] The above 3D string (120) is described in detail in the registered patent No. 10-2302769 previously filed by the applicant of the present invention, so a detailed description thereof will be omitted here.

[0044]

[0045] The smart controller (110) adjusts the hardness of the mattress by injecting air into the 3D string (120) or exhausting air to the outside.

[0046] Through this, the softness of the mattress (10) can be changed as desired according to the user's condition and preference.

[0047] The above smart controller (110) is equipped with an MCU (111), a hardness control pump (112), a solenoid valve (113), a pressure sensor (114), and a Wi-Fi-Bluetooth set (115) as shown in FIG. 2.

[0048] The MCU (111) controls the operation of the hardness control pump (112) manually or automatically.

[0049] The above hardness control pump (112) is connected to the 3D string (120) and operates under the control of the MCU (111) to inject air at high pressure into the inside of the 3D string (120).

[0050] At this time, the flow rate is, for example, 12.0 L / min or more.

[0051] The above solenoid valve (113) is interposed between the hardness control pump (112) and the 3D string (120) to control the flow of air flowing (backward) from the 3D string (120) to the hardness control pump (112).

[0052] The pressure sensor (114) is branched between the hardness control pump (112) and the 3D string (120) to measure the pressure inside the 3D string (120) and provide it to the MCU (111).

[0053] The range of pressure measured at this time is, for example, - 3.6 psi (Pound per Square Inch) to 3.6 psi.

[0054] The Wi-Fi-Bluetooth set (115) supports Wi-Fi and BLE to enable wireless communication with surrounding devices such as a pressure sensor unit (130), a monitoring server (150), and a user terminal (140).

[0055]

[0056] The body pressure sensor unit (130) is equipped with a body pressure sensor (130a), an MCU (131), and a Wi-Fi-Bluetooth set (135) as shown in FIG. 3.

[0057] The above body pressure sensor (130a) is interposed between the 3D string (130) and the cushioning material (24), i.e., between the upper part of the 3D string (130) and the lower part of the cushioning material (24), as shown in FIG. 4, and senses (measures) the pressure (body pressure) of the human body located thereon.

[0058] At this time, if the body pressure sensor (130a) is located on the upper part of the cushion material (24), it may have durability problems because it comes into direct contact with the human body, and the pressure measurement may not be accurate because the cushion material (24) absorbs the primary pressure, but in the case of the present invention, if it is located on the lower part of the cushion material (24), even if the same person lies down, the value received by the body pressure sensor (130a) changes when the pressure changes, and the sensing value changes.

[0059] Based on this, it is possible to adjust the hardness optimized for the human body, and even for the same person, the sensing value can be changed by adjusting the cushion material (130a).

[0060] The above body pressure sensor (130a) is formed by arranging a plurality of flexible thin film resistance lines (134a), i.e., conductive threads, in a horizontal and vertical manner on an insulating fabric (132a), and senses body pressure by measuring the resistance at the intersection.

[0061] At this time, it is desirable to uniformly arrange the conductive thin film resistance wire (134a) at regular intervals to enable automation, thereby improving productivity and facilitating production.

[0062] In addition, if the above pressure sensor (130a) is manufactured to be approximately the same size as the mattress (10), the cost is high at approximately 7 to 8 million won.

[0063] However, when measuring body pressure, the head is different for each pillow anyway, so the head part is excluded, and the actual body pressure coming from the leg part is only 10% to 20% of the human body, so the present invention excludes this and provides a body pressure sensor (130a) that senses the body pressure from below the shoulder to above the knee, which is the remaining 80%, so that the sleeping posture can be known.

[0064] That is, since the present invention enables the sleep posture to be known through the body pressure sensor (130a), the entire body pressure of the person is first measured, and then the body pressure area to be practically focused on is designated so that the body pressure can be sensed by the body pressure sensor (130a) for the area excluding the head area and the leg area below the knees.

[0065] Considering this, the body pressure sensor according to the embodiment of the present invention has, for example, a size of 800 * 1300 (mm) and a sensing point (intersection) of 30 horizontal X 18 vertical, which is 540.

[0066] At this time, the pressure range is 0 to 2.99 psi (Pound per Square Inch), but is not limited thereto.

[0067] The above Wi-Fi-Bluetooth set (135) supports Wi-Fi and BLE to enable wireless communication with a smart controller (110), which is a peripheral device.

[0068] The above-mentioned body pressure sensor unit (130) senses the body pressure from below the shoulder to above the knee at regular intervals during sleep and outputs it to the smart controller (110).

[0069]

[0070] The monitoring server (150) applies a CNN (Convolutional neural network) algorithm, which is an AI algorithm, to analyze the sleeping environment during sleep and learn each individual's sleeping pattern to provide comfortable sleeping conditions to the user.

[0071] To explain this in more detail, first, a person lies down directly on a body pressure sensor (130a) and the person's posture is measured, such as whether he or she is lying upright or on the right side, and then about 20,000 to 30,000 pieces of measured data are accumulated to create a learning model through an AI algorithm on a monitoring server (150).

[0072] When accumulating the above measurement data, rather than accumulating it for just one person, the measurement data must be transformed, so the measurement data is accumulated while lying down straight, but when learning, it is learned so that predictions such as slightly increasing or decreasing the size or turning left and right are possible.

[0073] In this way, the learning model is created by learning and applying data that can be predicted in this way, and although the basic data is 20,000 to 30,000, in reality, over 100,000 data are created.

[0074] Through this, a learning model is implemented in the monitoring server (150), and when the sensing value of the body pressure sensor (130a) is input to the monitoring server (150) through the smart controller (110), the monitoring server (150) determines whether the lying posture is frontal or sideways, etc., based on the sensing value for the current lying state through the learning model.

[0075] The above monitoring server (150) determines the hardness or tilting angle suitable for the sleeping posture and transmits it to the smart controller (110).

[0076] To explain this a little more, the monitoring server (150) determines the sleeping posture of a sleeping person, for example, four basic postures such as upright posture, left side, right side, and back posture, as well as postures such as crossed legs, arms raised, sitting posture, and postures at risk of falling, by means of a body pressure sensor (130a), and can thereby determine the direction of tilting.

[0077] For example, if your sleeping position is on your left side, tilt to the right, if your sleeping position is on your right side, tilt to the left, and if your sleeping position is on your back, tilt downwards.

[0078] In addition, the hardness is adjusted in the direction of lowering the hardness as shown in Table 1 below when in a different posture based on the above-mentioned posture.

[0079] Basic adjustment valueAdjusted pressure valueAdjusted pressure correction valuePosture pressure valueFHLeft, right size Posture pressure valueFH-Anseal number Step 2 If BMI is 19 or lower, Anseal number +1 If BMI is 25 or higher, Anseal number -1 Back posture pressure valueFH-Anseal number Step 1 If BMI is 25 or higher, Anseal number -1

[0080] For example, if the hardness is divided into 10 levels and the most suitable hardness value is FH when the user's sleeping position is upright, the hardness is lowered to level 2 of the anseal number (level FH-2) when the sleeping position is left-side or right-side, but if the body mass index (BMI) is 19 or lower, the hardness is raised to level 1 of the anseal number (level FH-1), and if the body mass index (BMI) is 25 or higher, the hardness is lowered to level 1 of the anseal number (level FH-3).

[0081] Also, if the sleeping position is the back position, the hardness is lowered to level 1 of the anseal number (level FH-1), and if the body mass index (BMI) is 25 or higher, the hardness is lowered to level 1 of the anseal number (level FH-2).

[0082] Here, the hardness adjustment values ​​for each posture are explained based on the anseal number, but they can be changed based on the 3D string pressure value.

[0083] In addition, since adjusting the hardness in a shallow sleep state may rather interfere with the depth of sleep, the present invention allows the hardness to be adjusted only when the user is in a deep sleep state and maintains the same sleeping posture for more than 5 minutes.

[0084] The sensing value measured by the above body pressure sensor (130a) is a numerical value, and the monitoring server (150) visualizes this number into a color image so that the user can easily see it. When viewed by a person, the closer it is to yellow, the higher the body pressure, and the bluer it is, the lower the pressure.

[0085]

[0086] The user terminal (140) may be a terminal carried by the user, for example, a smartphone with a sleep monitoring app (142) installed.

[0087] Users can accurately determine their sleep status by recording and reporting their sleep patterns through a user terminal (140) that communicates wirelessly with a monitoring server (150).

[0088]

[0089] The air chambers (30a,…,30n) are provided at the bottom of the mattress (10) as shown in Fig. 5, and are composed of, for example, five air chambers, and are provided at the front, back, left, right, and center of the bottom of the mattress (10) and are supported and accommodated together with the mattress (10) within the accommodation space (172) formed in the bed frame (170).

[0090] Each of the above air chambers (30a,…, 30n) is connected to a tilting control pump (160a,…, 160n), and the tilting control pump (160a,…, 160n) is controlled by a smart controller (110) so that the angle (tilting) of the mattress is controlled by injecting or exhausting air into or from each air chamber (30a,…, 30n).

[0091] To explain this a little more, the sleeping posture of a sleeping person can be known by the body pressure sensor (130a), and the direction of tilting can be determined through this.

[0092] For example, if your sleeping position is on your left side, tilt to the right, if your sleeping position is on your right side, tilt to the left, and if your sleeping position is on your back, tilt downwards.

[0093] In the case of the above tilting, there are five air chambers (30a,…,30n), and the pressure of each of the five air chambers (30a,…,30n) can be checked with an unillustrated pressure sensor, so that the tilting angle of the mattress (10) can be controlled.

[0094] At this time, five tilting control pumps (160a,…,160n) are controlled by one smart controller (110), and thereby the five air chambers (30a,…,30n) can be individually controlled by the smart controller (110) to tilt the mattress (10) in various directions.

[0095]

[0096] As shown in Fig. 4, the mattress (10) is formed by stacking, from the bottom to the top, a mattress frame (20), a 3D string (120), a body pressure sensor (130a), a cushioning material (24), and a cover (26).

[0097] In this drawing, two 3D strings (120) and two body pressure sensors (130a) are shown as an example, but one 3D string (120) and one body pressure sensor (130a) may be provided.

[0098] The mattress frame (20) has a receiving portion (22) formed inside, and the 3D string (120), pressure sensor (130a), cushioning material (24), and cover (26) are received in the receiving portion (22).

[0099] The above cushioning material (24) may be made of, for example, a two-layer foam of memory foam and polyurethane (PU).

[0100] The upper cover (26) covering the upper surface of the above cushion material (24) provides a cooling function.

[0101]

[0102] Figure 6 is a flowchart showing a string bed control method according to an embodiment of the present invention.

[0103] As shown in Fig. 6, the monitoring server (150) uses CNN technology to measure the postures of a person, such as whether the person is lying down in a standing posture or lying on the right side, and accumulates about 20,000 to 30,000 pieces of measured data to create a learning model (S502).

[0104] When accumulating the above measurement data, rather than accumulating it for just one person, the measurement data must be transformed, so the measurement data is accumulated while lying down straight, but when learning, it is learned so that predictions such as slightly increasing or decreasing the size or turning left and right are possible.

[0105] In this way, the learning model is created by learning and applying data that can be predicted in this way, and although the basic data is 20,000 to 30,000, in reality, over 100,000 data are created.

[0106] The user setting is performed to recommend a level of hardness suitable for the user's sleeping posture through a process similar to that in Figure 8 (S504).

[0107] That is, as shown in Fig. 8, after the user is lying in an upright position on the mattress (10) (S702), the smart controller is initialized (S704), and then air is injected as much as possible into the 3D string (120) to make it as hard as possible (stiff) (S706).

[0108] When air is discharged from the next 3D string (S708), a point that touches the pressure sensor (130a) is created, and the numerical value (sensing value) of this point is found (S710) and transmitted to the monitoring server (150) (S710).

[0109] The monitoring server (150) above identifies the point of contact where the pressure is best distributed by finding the point with the highest pressure among the multiple sensing values ​​sent from the pressure sensor (130a), the point with the lowest average value, etc., and recommends a hardness level (e.g., level 4 out of a total of 10 levels) suitable for the user (S712).

[0110] In this way, when the user lies down on the mattress with the user's hardness recommended as, for example, level 4, the 3D string is initially set to level 4, and then the body pressure of the sleeping user is sensed by the body pressure sensor (130a), and hundreds (540) of sensing values, for example, are input to the monitoring server (150) through the smart controller (110) (S506).

[0111] The above monitoring server (150) learns on its own and analyzes hundreds of sensing values ​​to identify the user's sleeping posture (S508), determines the user's hardness and / or tilting angle accordingly (S510), and transmits a control signal to the smart controller (110).

[0112] The above smart controller (110) controls the operation of the hardness control pump (112) and the tilt control pump (160a,…,160n) according to this control signal to control the hardness of the 3D string (120) and the tilting of the mattress (130) (S512).

[0113] Here, in the case of hardness, for example, if the hardness is divided into 10 levels and the most suitable hardness value is level 4 when the user's sleeping position is upright, if the sleeping position is left-side or right-side, the hardness is lowered by 2 levels (level 2), but if the BMI is 19 or lower based on the body mass index (BMI), the hardness is raised by 1 level (level 3), and if the BMI is 25 or higher based on the body mass index (BMI), the hardness is lowered by 1 level (level 1).

[0114] Also, if the sleeping position is the back position, the firmness is lowered by 1 level (level 3), and if the body mass index (BMI) is 25 or higher, the firmness is lowered by 1 level (level 2).

[0115] In case of tilting, for example, if the sleeping position is left side, tilt to the right, if the sleeping position is right side, tilt to the left, and if the sleeping position is back, tilt downwards.

[0116] Afterwards, the body pressure sensor (130a) senses body pressure periodically (e.g., every 50 seconds) and transmits it to the monitoring server (150) (S514). The monitoring server (150) determines whether the sensing value corresponds to a hardness or tilting condition (S516). If a hardness or tilting condition is met, it transmits a control signal to the smart controller (110) to adjust the hardness or tilting (S518).

[0117] By repeating these movements while the user sleeps, the string bed's condition is adjusted for optimal sleep, allowing the user to enjoy a good night's sleep.

[0118]

[0119] Fig. 7 is a flowchart showing the process of coloring the body pressure (sensing value) of Fig. 6, and Figs. 9 to 12 are drawings for explaining each step shown in Fig. 7.

[0120] Meanwhile, the sensing value measured by the above body pressure sensor (130a) is a numerical value, and the monitoring server (150) displays this number as a color image for the user to view, with the closer it is to yellow, the higher the body pressure, and the closer it is to blue, the lower the pressure.

[0121] For example, when a person lies down straight, the shoulder and hip areas are pressed down a lot, as shown in Figure 12, and those areas are displayed in yellow and red.

[0122] To explain this imaging process in more detail, as shown in Fig. 9, for example, 540 sensing values ​​from a body pressure sensor (130a) are transmitted as numeric values ​​to a monitoring server (150) and listed (S602).

[0123] The above monitoring server (150) converts the numerical sequence into an array of m*n (e.g., 18*30) like the array of pressure sensors (130a) as shown in Fig. 10 (S604).

[0124] After selecting a color by number, the color is expressed by changing the saturation according to the number (S606).

[0125] And, as in Fig. 11, for example, 9 numbers in a 3*3 array are divided into one group, and the remaining 8 surrounding numbers are set to change at a certain ratio according to the change in one number (12) among them (S608).

[0126] Through this, colors are smoothly expressed in the image on the user terminal (140) as shown in Fig. 12.

Claims

1. (A) A step of outputting a plurality of sensing values ​​obtained by sensing body pressure from a body pressure sensor on the upper part of a 3D string while the user is sleeping on a mattress equipped with a 3D string to a monitoring server through a smart controller; (B) A step of analyzing a plurality of sensing values ​​in the monitoring server to determine the user's sleeping posture; (C) a step of determining a hardness suitable for a sleeping position in the monitoring server and transmitting a control signal to a smart controller; and (D) a step of controlling the operation of the hardness control pump according to a control signal from the smart controller to control the hardness of the 3D string; including, In the above step (A), the body pressure sensor senses the body pressure from below the shoulder to above the knee in order to determine the sleeping posture. (B-1) A step in which the monitoring server lists a number of sensing values ​​transmitted from the pressure sensor in step (B); (B-2) A step of converting a numerical list in the above monitoring server into an array such as an m*n array of pressure sensors; and (B-3) A string bed control method characterized by performing a step of expressing a color by changing the saturation according to the number after selecting a color by number, dividing 9 numbers in a 3*3 array into one group and causing the remaining 8 surrounding numbers to change at a certain ratio according to the change of one number among them so that the color is expressed smoothly in the image.

2. In paragraph 1, A string bed control method characterized in that the above body pressure sensor is formed by arranging a plurality of flexible thin film resistance lines in a horizontal and vertical manner on an insulating fabric, and senses body pressure by measuring resistance at the intersection points.

3. In paragraph 1, (a) Before step (A) above, perform user settings to recommend a level of hardness suitable for the user's sleeping posture, A string bed control method characterized in that the hardness is adjusted to the hardness recommended in step (a) in the early stage of sleep in step (A).

4. In paragraph 3, The above step (a) is a step (a-1) in which the user initializes the smart controller while lying on the mattress in an upright position, and then injects air into the 3D string to achieve maximum hardness; (a-2) A step of finding a point where the 3D string touches the pressure sensor while discharging air, and outputting a plurality of numerical values ​​(sensing values) of the pressure at that point to the monitoring server through a smart controller; and (a-3) A string bed control method characterized in that the monitoring server performs a step of recommending a hardness suitable for the user by checking a contact point where body pressure is well distributed.

5. In paragraph 1, A string bed control method characterized in that, in step (C) above, the hardness is lowered for other sleeping positions based on the user's sleeping position being the upright position.

6. In paragraph 5, A string bed control method characterized by increasing or decreasing hardness according to the body mass index (BMI) of the user.

7. In paragraph 1, A string bed control method characterized in that, in the above step (C), a control signal is controlled so that the hardness can be adjusted only when the user is in a sleeping state, but in a deep sleep state and maintains the same sleeping posture for more than 5 minutes.

8. In paragraph 1, A string bed control method characterized in that in the step (C) above, a tilting suitable for the user's sleeping posture is determined and a control signal is transmitted to a smart controller, and in the step (D) above, the operation of a tilting control pump is controlled according to the control signal to control the tilting of the mattress.

9. In paragraph 8, A string bed control method characterized in that five air chambers are provided in the front, back, left, right, and center of the lower portion of the mattress, and the air chambers are each connected to a tilt control pump, and the tilt control pumps are each controlled for operation by a single smart controller.

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