WO2024139592A1

WO2024139592A1 - Intelligent adjustment method and device applied to intelligent pressure-sensitive adjustable bedding

Info

Publication number: WO2024139592A1
Application number: PCT/CN2023/126277
Authority: WO
Inventors: 李拾
Original assignee: 李拾
Priority date: 2022-12-27
Filing date: 2023-10-24
Publication date: 2024-07-04
Also published as: CN115998116B; CN115998116A

Abstract

An intelligent adjustment method and device (300) applied to intelligent pressure-sensitive adjustable bedding, relating to the technical field of intelligent control, for use in solving the technical problems that an existing intelligent mattress adjustment method is fixed in adjustment mode and cannot adapt to the body condition of each user, resulting in proneness to inappropriate support modes and strengths for users. The method comprises: determining the posture of a current user (S201); dividing a pressure matrix into regions, and calculating a pressure balance value of each region (S202); controlling an intelligent air pump to inflate or deflate a folding airbag in each region, and obtaining a first deformation value of each folding airbag (S203); obtaining a predicted posture of the current user at the next moment according to change features of the pressure matrix at the current moment and the previous moment (S204); determining a second deformation value of each folding airbag at a predicted position of each body part according to the first deformation value and the predicted posture (S205); and inflating or deflating the folding airbag at the predicted position of each body part according to the second deformation value, so as to achieve synchronous support for the current user (S206).

Description

Intelligent adjustment method and device for intelligent pressure-sensing adjustment bedding

This application claims the priority of the Chinese patent application filed with the China Patent Office on December 17, 2022, with application number 202211681489.4 and invention name “A method and device for intelligent adjustment of intelligent pressure-sensing bedding”, the entire contents of which are incorporated by reference in this application.

Technical Field

The present application relates to the field of intelligent control technology, and in particular to an intelligent adjustment method and device for intelligent pressure-sensitive adjustment bedding.

Background technique

About one-third of a person's life is spent sleeping, and the quality of sleep will directly affect people's mental state and physical health. During the sleep process, the quality of sleep is directly related to the sleeping posture. Sleeping or lying in bed is an effective way to relax the whole body, especially the spine, because the body is in full contact with the bed, reducing the burden of resisting gravity when the body is upright. However, if the sleeping posture or lying posture is improper, it will aggravate the tightening of the spine and muscles, or cause excessive stretching of local ligaments, leading to diseases such as stiff neck and low back pain, and will also affect the body's comfort during sleep.

Based on the above problems, there are now some beds or mattresses that can intelligently adjust the height. By adjusting the height of different parts of the bed or mattress, different support forces are generated for different parts of the user's body, so that the user can maintain a normal physiological curve during sleep. However, the existing intelligent adjustment methods mostly provide several fixed adjustment modes and support strengths. Users are limited by the provided modes and not only need to set them manually, but also have fewer choices. These methods do not take into account the differences and different personalized needs of each user, and are not necessarily suitable for every user. On the contrary, inappropriate support methods and support strengths will cause greater harm to the user's body.

Summary of the invention

The embodiments of the present application provide an intelligent adjustment method and device for intelligent pressure-sensitive adjustment bedding, which are used to solve the following technical problems: the existing intelligent adjustment method for mattresses has a fixed adjustment mode, which cannot adapt to each user and is prone to produce inappropriate support methods and strengths for users.

The present application embodiment adopts the following technical solutions:

On the one hand, an embodiment of the present application provides an intelligent adjustment method for intelligent pressure-sensitive adjustable bedding, wherein the intelligent pressure-sensitive adjustable bedding comprises at least: an intelligent air pump, a plurality of folding air bags vertically installed in an array on a bedding base, and a plurality of fiber sensors installed on the surface of each folding air bag, wherein the method comprises: receiving pressure data sent back by each fiber sensor in real time, and converting the pressure data into a pressure matrix; analyzing and calculating the pressure matrix to determine the posture of the current user; dividing the pressure matrix into regions according to the posture of the current user, and calculating the pressure balance value of each partition; controlling the intelligent air pump to adjust the pressure of the folding air bags in each partition Inflation or deflating are performed respectively, and after the error between the pressure value corresponding to each folding airbag and the pressure balance value enters the allowable error range, the first deformation value of each folding airbag is obtained; based on the pressure matrix change characteristics between the current moment and the previous moment, the predicted posture of the current user at the next moment and the predicted position of each body part are obtained; based on the first deformation value and the predicted posture, the second deformation value of each folding airbag at the predicted position of each body part is determined; based on the second deformation value, the each folding airbag at the predicted position of each body part is inflated or deflated accordingly in advance to achieve synchronous support for the current user.

The embodiment of the present application receives in real time the data transmitted by the fiber sensors arranged in an array on the intelligent pressure-sensitive adjustable bedding, and supports different parts of the user with different strengths through matrix analysis technology, so that the support force on various parts of the user is more balanced. The support arc formed in this way better fits the user's own body curve. The present application also predicts the user's posture and position in the next second based on the current pressure matrix, so that when the user changes his posture, the folding airbag in the corresponding position can be synchronously adjusted to a suitable arc, thereby producing a synchronous support effect on the user's posture changes.

In a feasible implementation, after receiving the pressure data transmitted back by each fiber sensor in real time and converting the pressure data into a pressure matrix, the method further includes: setting different adjustment gears for different weight ranges borne by all folding airbags; different adjustment gears correspond to different expansion and contraction ranges of the folding airbags; adding the element values in the pressure matrix whose values are greater than the minimum pressure threshold to obtain the total weight currently borne by all folding airbags; wherein the minimum pressure threshold is used to set the minimum pressure that the human body can produce on the intelligent pressure-sensing adjustable bedding; when the total weight is less than a preset weight threshold, the folding airbags are not adjusted; when the total weight is greater than or equal to the preset weight threshold, the corresponding adjustment gear is determined according to the weight range to which the total weight belongs.

In a feasible implementation, the pressure matrix is analyzed and calculated to determine the posture of the current user, specifically including: in the pressure matrix, the element area with a value greater than the minimum pressure threshold is determined as the pressure area, and the number of elements in the pressure area is counted as the current pressure area of the bedding; the current pressure area is compared with the preset pressure area intervals of different posture types to preliminarily determine the posture type of the current user; wherein the posture types include sitting, supine, and side-lying; the supine specifically includes supine and prone, and the side-lying specifically includes left-side lying and right-side lying; when the posture type is side-lying, Acquire several element value peaks in the pressure area, and fit the several element value peaks into a straight line to determine it as the force axis; analyze the number of elements on both sides of the force axis in the pressure area, and determine the side with a larger number of elements as the facing side of the current user; when the posture type is lying flat, calculate the average value of the element values in the pressure area, and determine the area formed by elements smaller than the average value of the element values as a low-force area; if there is at least one low-force area in the longitudinal middle area of the pressure area, determine that the current user is in a supine posture, otherwise determine that the current user is in a prone posture.

In a feasible implementation, the pressure matrix is divided into regions according to the posture of the current user, and the pressure balance value of each partition is calculated, specifically including: judging the height of the current user according to the posture of the current user; determining the position of each body part of the current user according to the height of the current user and the distribution of pressure data; dividing the pressure area into at least a trunk partition, a left upper limb partition, a right upper limb partition, a left lower limb partition and a right lower limb partition according to the position of each body part; respectively obtaining the minimum and maximum values of the element values in each partition, and calculating the average value to obtain the pressure balance value corresponding to each partition.

In a feasible implementation, the intelligent air pump is controlled to inflate or exhaust the folding airbags in each partition respectively, and the first deformation value of each folding airbag is obtained after the error between the pressure value corresponding to each folding airbag and the pressure balance value enters the allowable error range, specifically including: in the pressurized area, slowly exhausting the folding airbags corresponding to the elements whose pressure value is greater than the pressure balance value, and slowly inflating the folding airbags corresponding to the elements whose pressure value is less than the pressure balance value; real-time monitoring of the pressure value borne by each folding airbag in the pressurized area during the inflation or exhaust process, and recording the real-time deformation value of each folding airbag; wherein the real-time deformation value is the difference between the real-time expansion and contraction value of the folding airbag and the initial expansion and contraction value; when the error between the pressure value borne by the folding airbag and the corresponding pressure balance value enters the allowable error range, or the real-time deformation value reaches the current When the telescopic interval boundary value corresponding to the adjustment gear position is reached, the inflation or exhaust process is stopped; the real-time deformation value of each folded airbag in the pressurized area at this time is determined as the first deformation value of each folded airbag.

In a feasible implementation, the predicted posture of the current user at the next moment and the predicted position of each body part are predicted based on the change characteristics of the pressure matrix at the current moment and the previous moment, specifically including: subtracting the pressure matrix at the current moment from the pressure matrix at the previous moment to obtain the current pressure change matrix, and inheriting the partition position of the pressure matrix in the current pressure change matrix; respectively counting the ratio of negative values to positive values in each partition; determining the movement direction of the current user according to the ratio of each partition; inputting the current pressure change matrix into a pre-trained posture prediction model to obtain the predicted posture of the current user at the next moment; determining the predicted position of each body part of the current user according to the movement direction and the predicted posture.

In a feasible implementation, the second deformation value of each folded airbag at the predicted position of each body part is determined according to the first deformation value and the predicted posture, specifically including: determining the predicted pressure area according to the predicted posture; re-dividing the predicted pressure area according to the predicted position of each body part to obtain each predicted partition; making the folded airbags in each predicted partition correspond one by one to the folded airbags in each partition at the current moment; assigning the first deformation value of the folded airbag in each partition at the current moment to the folded airbag in the corresponding predicted partition to obtain the second deformation value of each folded airbag in the predicted pressure area; and setting the second deformation value of each folded airbag outside the predicted pressure area to 0.

In a feasible implementation, according to the second deformation value, each folding airbag at the predicted position of each body part is inflated or deflated in advance, specifically including: at the beginning of the next moment, controlling the intelligent air pump to inflate or deflate each folding airbag, and recording the real-time deformation value of each folding airbag until the error between the real-time deformation value and the second deformation value enters the allowable error range, or the real-time deformation value reaches the boundary value of the telescopic interval corresponding to the current adjustment gear, and then stopping the inflation or deflation process; after detecting that the current user's posture change has ended, controlling the intelligent air pump according to the real-time pressure matrix to fine-tune the folding airbag in each partition, so that the error between the pressure value corresponding to each folding airbag and the pressure balance value of each actual partition is within the allowable error range.

In a feasible implementation manner, the intelligent pressure-sensing adjustable bedding further comprises a first strip airbag area and a second strip airbag area, wherein the first strip airbag area is located at the head end of the bedding base, and the second strip airbag area is located at the head end of the bedding base. The airbag area is located at the tail end of the bed of the bedding base; after analyzing and calculating the pressure matrix to determine the posture of the current user, the method also includes: when the posture type of the current user is a sitting posture, the folding airbag is not adjusted; if the pressure value detected by the fiber sensor on the surface of the first strip airbag area exceeds the minimum pressure threshold, according to the preset inflation amount, the intelligent air pump is controlled to inflate different degrees of gas into the plurality of strip airbags in the first strip airbag area, so that the head end of the intelligent pressure-sensing adjustment bedding is raised and presents a preset curvature; wherein, the plurality of strip airbags are closely arranged transversely in the first strip airbag area; the transverse direction refers to a direction parallel to the width of the bedding.

On the other hand, an embodiment of the present application also provides an intelligent adjustment device for intelligent pressure-sensitive adjustable bedding, the device comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions that can be executed by the at least one processor so that the at least one processor can execute an intelligent adjustment method for intelligent pressure-sensitive adjustable bedding as described in any of the above embodiments.

The embodiment of the present application provides an intelligent adjustment method and device for intelligent pressure-sensitive adjustment bedding. Relying on the intelligent pressure-sensitive adjustment bedding with a special structure, a method for analyzing the user's posture through a pressure matrix is proposed, and each part of the body is adjusted in a zone. Each zone adjusts the folding airbag based on the pressure balance value, so as to achieve balanced force and balanced support for each part of the user's body. The present application does not set a fixed adjustment mode, but performs real-time support feedback according to the real-time pressure exerted by the user on the mattress. No matter who lies on the mattress, a suitable curvature can be generated, which can almost adapt to every user, and because the support strength is determined according to the user's pressure, it will not produce inappropriate support methods and strength for the user. The present application also proposes a method for predicting the user's next posture and a synchronous airbag support method. According to the first deformation value recorded when adjusting the folding airbags of each zone in the first stage, the second deformation value required for the user's next posture is determined in advance, so as to control the curvature of the folding airbag to produce the corresponding motion position while the user changes his posture. If the user adjusts the bedding after turning over or changing the position, the sudden pressure may cause the user to wake up or feel uncomfortable. The present application solves this problem.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present application, and it is obvious to ordinary technicians in this field that they can be easily understood without creative effort. On the premise of the above, other drawings can be obtained based on these drawings. In the drawings:

FIG1 is a top view of an intelligent pressure-sensing adjustable bedding structure provided in an embodiment of the present application;

FIG2 is a flow chart of an intelligent adjustment method for intelligent pressure-sensing adjustable bedding provided in an embodiment of the present application;

FIG3 is a schematic diagram of the structure of an intelligent adjustment device applied to intelligent pressure-sensing adjustable bedding provided in an embodiment of the present application.

Detailed ways

In order to enable those skilled in the art to better understand the technical solutions in this application, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are only part of the embodiments of this application, not all of them. Based on the embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this application.

FIG1 is a top view of a structure of an intelligent pressure-sensing regulating bedding provided by an embodiment of the present application. As shown in FIG1 , the intelligent pressure-sensing regulating bedding in the present application can be understood as an intelligent mattress. In the middle of the mattress, there are a number of folding airbags vertically installed in an array shape, and a fiber sensor (not shown in the figure) is installed on the surface of each folding airbag to send the pressure value of each folding air cushion to the processor. The two ends of the mattress are also equipped with a first strip airbag area and a second strip airbag area. The first strip airbag area is located at the head end of the mattress (i.e., the right end in FIG1 ), and the second strip airbag area is located at the tail end of the mattress (i.e., the left end in FIG1 ). All airbags are installed on the bedding base. All folding airbags and all strip airbags are connected to an intelligent air pump, which is connected to a processor for inflating or exhausting the connected airbags according to the instructions of the processor. The intelligent air pump and the processor are both installed at the tail end of the mattress. The units of the values marked in the figure are millimeters.

Based on the special structure of the above-mentioned intelligent pressure-sensing adjustable bedding, the embodiment of the present application provides an intelligent adjustment method to better control the ups and downs adjustment of the airbag, so that the user can obtain a better user experience when using the bedding.

As shown in FIG1 , the intelligent adjustment method applied to the intelligent pressure-sensing adjustable bedding specifically includes steps S201-S206:

S201. The processor receives the pressure data sent back by each fiber sensor in real time, converts the pressure data into a pressure matrix, analyzes and calculates the pressure matrix, and determines the current user's posture.

Specifically, the fiber sensor installed on the surface of each folding airbag monitors the pressure value in real time and transmits it to the processor. The processor stores the pressure data received at the same time in the form of a matrix. The specific method is: specify the head direction and the foot direction of the intelligent pressure-sensing adjustable bedding, and obtain the top view of the bedding with the head of the bed facing up, mark the row number i and column number j of each folding airbag in the top view of the bedding, and then display the pressure value A _ij returned by the fiber sensor corresponding to the folding airbag (i, j) in the i-th row and j-th column of the pressure matrix, and finally obtain a complete pressure matrix.

Furthermore, the processor will set different adjustment gears for different weight ranges borne by all folding airbags, and different adjustment gears correspond to different expansion and contraction ranges of the folding airbags. First, in the obtained pressure matrix, the element values with values greater than the minimum pressure threshold are added to obtain the total weight currently borne by all folding airbags, where the minimum pressure threshold is used to set the minimum pressure that the human body can produce on the intelligent pressure-sensitive adjustment bedding. When the total weight is less than the preset weight threshold, the folding airbags are not adjusted. When the total weight is greater than or equal to the preset weight threshold, the corresponding adjustment gear is determined according to the weight range to which the total weight belongs.

As a feasible implementation method, in real life, bedding may bear some pressure other than human body, such as pillows, quilts, mobile phones, etc., but these pressures are relatively small. Therefore, this application sets a minimum pressure threshold by analyzing the minimum pressure that can be generated by human bodies (including infants) of various weights sitting or lying on bedding, and determines the pressure value less than or equal to this minimum pressure threshold as other pressures, and the pressure value greater than this minimum pressure threshold is identified as the pressure generated by the human body. Further, by calculating the total weight borne by all folding airbags, the approximate weight of the current user can be known. The preset weight threshold is used to distinguish between minors and adults. For users whose weight is less than the preset weight threshold, the bedding provided by this application is not adjusted to avoid affecting the physical development of minors. For users whose weight is greater than the preset weight threshold, this application divides the weight into multiple intervals, each interval corresponds to a different adjustment gear, and each adjustment gear corresponds to a different folding airbag telescopic interval. In general, the larger the weight interval, the smaller the corresponding folding airbag telescopic interval, so that a stronger support force can be generated for obese users to protect their spinal health.

Furthermore, the pressure matrix is analyzed and calculated to determine the current user's posture, specifically including: in the pressure matrix, the element area with a value greater than the minimum pressure threshold is determined as the pressure area, and the number of elements in the pressure area is counted as the current pressure area of the bedding. The current pressure area is compared with the preset pressure area intervals of different posture types to preliminarily determine the posture type of the current user; wherein the posture types include sitting, supine, and side-lying; supine specifically includes supine and prone, and side-lying specifically includes left and right side. Lie down.

In one embodiment, according to the different pressure areas of different postures, the general relationship between the pressure areas is: lying flat > lying on the side > sitting. Therefore, the present application sets different pressure area intervals for different posture types. The actual pressure area can be preliminarily determined as the corresponding posture type based on the interval. After the posture type is determined, the specific posture can be further judged.

Furthermore, when the posture type is side-lying, several element value peaks in the pressure area are obtained, and several element value peaks are fitted into a straight line to determine the force axis; the number of elements on both sides of the force axis in the pressure area is analyzed, and the side with a larger number of elements is determined as the current user's facing side. When lying on the side, the main force area is in the torso. By fitting the element peaks into a straight line that roughly coincides with the torso and analyzing the number of elements on the left and right of this straight line, the side with a larger number of elements is the current user's facing direction.

Furthermore, when the posture type is supine, the average value of the element values in the compressed area is calculated, and the area formed by the elements less than the average value of the element values is determined as a low-stress area; if there is at least one low-stress area in the longitudinal middle area of the compressed area, the current user is determined to be in a supine posture, otherwise the current user is determined to be in a prone posture. The principle of the design here is that when the human body is supine, the waist has an arched arc, and the pressure between the waist and the mattress is relatively small. When lying prone, the pressure between the belly and the mattress is relatively large. Therefore, by calculating the average pressure of the whole body, the area with lower pressure is selected. If there is an area with lower pressure in the middle of the compressed area, it can be determined that the user is supine, otherwise it is prone.

As a feasible implementation, when the current user's posture type is sitting, the folding airbag is not adjusted. If the pressure value detected by the fiber sensor on the surface of the first strip airbag area exceeds the minimum pressure threshold, the intelligent air pump is controlled to fill the strip airbags in the first strip airbag area with different degrees of gas according to the preset inflation amount, so that the head end of the intelligent pressure-sensitive adjustment bedding is raised and presents a preset curvature; wherein the strip airbags are closely arranged transversely in the first strip airbag area; transverse refers to the direction parallel to the width of the bedding.

In one embodiment, since the first strip airbag area is located at the head of the bed, when it is determined that the current user is in a sitting position, if the fiber sensor in the first strip airbag area senses the pressure of the human body, it controls the intelligent air pump to inflate the strip airbags in the first strip airbag area, and the strip airbags close to the head of the bed are inflated the most, and the air volume decreases downwards, thereby forming a support slope to better support the back of the current user.

S202: The processor divides the pressure matrix into regions according to the current user's posture, and calculates the pressure balance value of each region.

Specifically, the height of the current user is determined according to the posture of the current user. The positions of various body parts of the current user are determined according to the height of the current user and the distribution of pressure data. Then, according to the positions of various body parts, the pressure area is divided into at least a trunk area, a left upper limb area, a right upper limb area, a left lower limb area, and a right lower limb area.

In one embodiment, when the current user's posture type is lying flat or lying on the side, the maximum vertical span of the pressure area is first determined as the current user's body length. Then, based on the area with the greatest pressure in the pressure area, the positions of the shoulders and hips are determined, and then based on the distribution ratio of the human body, the positions of other parts such as the neck, waist, limbs, etc. are determined, thereby dividing the pressure area into multiple partitions.

Different parts of the human body have different weights. For example, there is a large difference in weight between the torso and the limbs. If the human body is adjusted as a whole, the weight differences between different parts of the body will be ignored. Therefore, in this application, each part is adjusted in a zone so that each part of the body can get appropriate support.

Furthermore, the minimum and maximum values of the element values in each partition are obtained respectively, and the average value is calculated to obtain the pressure balance value corresponding to each partition.

When a person lies on a non-adjustable mattress, due to the physiological curvature, the pressure exerted on the mattress by various parts is uneven. For example, the torso and buttocks exert greater pressure on the mattress, while the waist exerts less pressure on the mattress. The uneven force causes the waist to be unable to be effectively supported, and the buttocks are squeezed, which also causes discomfort. Therefore, this application calculates the average of the maximum and minimum pressures in different partitions to obtain the pressure balance value in the partition, and then adjusts the expansion and contraction value of the folding air cushion at the corresponding position according to the current actual pressure value, so that the pressure between the body and the mattress in the same partition is more balanced.

S203, the processor controls the intelligent air pump to inflate or evacuate the folding airbags in each partition respectively, and obtains the first deformation value of each folding airbag after the error between the pressure value corresponding to each folding airbag and the pressure balance value enters the allowable error range.

Specifically, in the pressure area, the folded airbags corresponding to the elements with a pressure greater than the pressure balance value are slowly evacuated, and the folded airbags corresponding to the elements with a pressure less than the pressure balance value are slowly inflated. During the inflation or evacuation process, the pressure value of each folded airbag in the pressure area is monitored in real time, and the real-time deformation value of each folded airbag is recorded. The real-time deformation value is the difference between the real-time expansion and contraction value of the folded airbag and the initial expansion and contraction value.

Furthermore, when the error between the pressure value of the folding airbag and the corresponding pressure balance value enters the allowable error range, or the real-time deformation value reaches the boundary value of the telescopic interval corresponding to the current adjustment gear, the inflation or pumping is stopped. The real-time deformation value of each folded airbag in the pressurized area at this time is determined as the first deformation value of each folded airbag.

In one embodiment, if the current maximum pressure in the torso partition is located at the buttocks, with a value of 35, and the minimum pressure is located at the waist, with a value of 5, then the pressure balance value is an average value of 20. At this time, the processor controls the intelligent air pump to slowly evacuate the folding airbags with a pressure value greater than 20 in the torso partition, and slowly inflate the folding airbags with a pressure value less than 20, and monitor the pressure values of these folding airbags in real time. This application sets an error tolerance range, such as allowing an error range of 0.5, so when the real-time pressure value of the folding airbag reaches the interval [19.5, 20.5], inflation or evacuation can be stopped. If the critical value of the airbag expansion and contraction value of the current adjustment gear has been reached during the adjustment process of a certain folding airbag, the adjustment is stopped. After the adjustment is completed, the folding airbag at the buttocks position will sink, and the folding airbag at the waist will arch up, forming a support force for the waist, and the support force borne by the buttocks and waist is relatively balanced, which can better fit the body curve of the current user. Record the first deformation value of each airbag at this time.

S204. The processor obtains the predicted posture of the current user at the next moment and the predicted position of each body part according to the pressure matrix change characteristics between the current moment and the previous moment.

Specifically, the pressure matrix at the current moment is subtracted from the pressure matrix at the previous moment to obtain the current pressure change matrix, and the partition position of the pressure matrix is inherited in the current pressure change matrix. The ratio of negative values to positive values in each partition is counted respectively; the movement direction of the current user is determined according to the ratio of each partition; the current pressure change matrix is input into the pre-trained posture prediction model to obtain the predicted posture of the current user at the next moment; the predicted position of each body part of the current user is determined according to the movement direction and the predicted posture.

In one embodiment, the pressure change matrix obtained by subtracting the pressure matrices at adjacent moments can be used to know the pressure change in each partition. If the number of negative values is much larger than the number of positive values, it means that the total pressure of the current user on the current partition has decreased. If the number of positive values is much larger than the number of negative values, it means that the total pressure of the current user on the current partition has increased. Therefore, combined with the ratio of the number of negative and positive values in the left and right partitions, it can be determined whether the current user's movement direction is to the left or to the right. In the preparation stage, the application also pre-trains a motion posture prediction model through a large number of pressure change matrices and the corresponding next posture. By inputting the pressure change matrix into the model, the next predicted posture can be output, and combined with the movement direction, the body position of each part of the user at the next moment can be determined.

S205: The processor determines the predicted position of each body part according to the first deformation value and the predicted posture. The second deformation value of each folded airbag.

Specifically, the predicted pressure area is determined according to the predicted posture. According to the predicted position of each body part, the predicted pressure area is re-divided into regions to obtain each predicted partition. The folding airbags in each predicted partition are matched one by one with the folding airbags in each partition at the current moment. The first deformation value of the folding airbag in each partition at the current moment is assigned to the folding airbag in the corresponding predicted partition to obtain the second deformation value of each folding airbag in the predicted pressure area; and the second deformation value of each folding airbag outside the predicted pressure area is set to 0.

In one embodiment, after obtaining the predicted posture, the predicted compressed area can be determined according to the method for determining the body part mentioned in S202, and a new predicted trunk partition and predicted limb partition can be divided according to the position of the body part. The new partition is matched one-to-one with the previously divided partition, and the first deformation value of the folding airbag in the previously divided partition is set as the second deformation value of the folding airbag in each predicted partition. In the case that the number of folding airbags contained in the two corresponding partitions is inconsistent, the correspondence can be performed column by column from left to right, without the need for each folding airbag to correspond one-to-one. There will be fine-tuning operations later to ensure that the user will not feel uncomfortable after turning over or changing position.

S206: The processor performs corresponding inflating or deflating processing on each folding airbag at the predicted position of each body part in advance according to the second deformation value, so as to achieve synchronous support for the current user.

Specifically, at the beginning of the next moment, the intelligent air pump is controlled to inflate or deflate each folding airbag, and the real-time deformation value of each folding airbag is recorded until the error between the real-time deformation value and the second deformation value enters the allowable error range, or the real-time deformation value reaches the boundary value of the telescopic range corresponding to the current adjustment gear, and then the inflation or deflation process is stopped.

Furthermore, after detecting that the current user's posture change has ended, the intelligent air pump is controlled according to the real-time pressure matrix to fine-tune the folding airbags in each partition so that the error between the pressure value corresponding to each folding airbag and the pressure balance value of each actual partition is within the allowable error range.

In one embodiment, after the second deformation value is determined, the folding airbags in the predicted pressure area are inflated or evacuated at the next moment, so that when the user turns over, the folding airbags in the predicted pressure area are deformed synchronously, thereby providing synchronous support to the user's body. After the user changes his posture, the curvature of the bedding does not necessarily completely match the user's body curve. At this time, according to the pressure balance value of each new partition, the folding airbags in each new partition are fine-tuned in a small range to achieve the effect of matching the user's body.

As a feasible implementation method, the present application can also record the different postures of the same user. The first deformation value of the area is set. When a recorded user is detected lying on the mattress, each folded airbag can be automatically adjusted to the first deformation value to avoid repeated detection.

The embodiment of the present application provides an intelligent adjustment method and device for intelligent pressure-sensitive adjustment bedding. Relying on the intelligent pressure-sensitive adjustment bedding with a special structure, a method of analyzing the user's posture through a pressure matrix is proposed, and the various parts of the body are adjusted in zones. Each zone adjusts the folding airbag based on the pressure balance value, so as to achieve balanced force and balanced support for various parts of the user's body. The present application also proposes a method for predicting the user's next posture and a synchronous airbag support method. According to the first deformation value recorded when adjusting the folding airbags of each zone in the first stage, the second deformation value required for the user's next posture is determined in advance, so that the folding airbag is controlled to produce the arc of the corresponding motion position while the user changes his posture. If the user adjusts the bedding after turning over or changing position, the sudden pressure may cause the user to wake up or feel uncomfortable. The present application solves this problem.

In addition, the embodiment of the present application further provides an intelligent adjustment device applied to an intelligent pressure-sensitive adjustment bedding. As shown in FIG3 , the intelligent adjustment device 300 applied to the intelligent pressure-sensitive adjustment bedding specifically includes:

At least one processor 310; and a memory 320 in communication with the at least one processor 310; wherein the memory 320 stores instructions executable by the at least one processor 310, so that the at least one processor 310 can execute:

Receive the pressure data sent back by each fiber sensor in real time, and convert the pressure data into a pressure matrix; analyze and calculate the pressure matrix to determine the current user's posture;

Dividing the pressure matrix into regions according to the current user's posture, and calculating the pressure balance value of each region;

Controlling the intelligent air pump to inflate or evacuate the folding airbags in each partition, and obtaining a first deformation value of each folding airbag after the error between the pressure value corresponding to each folding airbag and the pressure balance value enters an allowable error range;

According to the pressure matrix change characteristics between the current moment and the previous moment, the predicted posture of the current user at the next moment and the predicted position of each body part are obtained;

Determining, according to the first deformation value and the predicted posture, a second deformation value of each folded airbag at the predicted position of each body part;

According to the second deformation value, the folding airbags at the predicted positions of the body parts are inflated or deflated accordingly in advance to achieve synchronous support for the current user.

Each embodiment in this application is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

The above describes specific embodiments of the present application. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the embodiments of the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the embodiments of the present application should be included in the scope of the claims of the present application.

Claims

An intelligent adjustment method for intelligent pressure-sensitive adjustable bedding, characterized in that the intelligent pressure-sensitive adjustable bedding comprises at least: an intelligent air pump, a plurality of folding airbags vertically installed in an array on a bedding base, and a plurality of fiber sensors installed on the surface of each folding airbag, the method comprising:

Receive the pressure data sent back by each fiber sensor in real time, convert the pressure data into a pressure matrix, analyze and calculate the pressure matrix, and determine the current user's posture;

Dividing the pressure matrix into regions according to the current user's posture, and calculating the pressure balance value of each region;

Controlling the intelligent air pump to inflate or evacuate the folding airbags in each partition, and obtaining a first deformation value of each folding airbag after the error between the pressure value corresponding to each folding airbag and the pressure balance value enters an allowable error range;

According to the pressure matrix change characteristics between the current moment and the previous moment, the predicted posture of the current user at the next moment and the predicted position of each body part are obtained;

Determining, according to the first deformation value and the predicted posture, a second deformation value of each folded airbag at the predicted position of each body part;

According to the second deformation value, the folding airbags at the predicted positions of the body parts are inflated or deflated accordingly in advance to achieve synchronous support for the current user.
The intelligent adjustment method for intelligent pressure-sensing adjustable bedding according to claim 1 is characterized in that, after receiving the pressure data returned by each fiber sensor in real time and converting the pressure data into a pressure matrix, the method further comprises:

Different adjustment gears are set for different weight ranges borne by all folding airbags; different adjustment gears correspond to different expansion and contraction ranges of the folding airbags;

Add the values of the elements in the pressure matrix whose values are greater than the minimum pressure threshold to obtain the total weight currently borne by all folding airbags; wherein the minimum pressure threshold is used to set the minimum pressure that the human body can produce on the intelligent pressure-sensing adjustable bedding;

When the total weight is less than a preset weight threshold, the folding airbag is not adjusted;

When the total weight is greater than or equal to the preset weight threshold, the corresponding adjustment gear is determined according to the weight range to which the total weight belongs.
The intelligent adjustment method for intelligent pressure-sensing adjustable bedding according to claim 1 is characterized in that the analyzing and calculating of the pressure matrix to determine the current user's posture comprises:

In the pressure matrix, the element area whose value is greater than the minimum pressure threshold is determined as the pressure area, and the number of elements in the pressure area is counted as the current pressure area of the bedding;

Compare the current pressure area with the preset pressure area intervals of different posture types to preliminarily determine the posture type of the current user; wherein the posture types include sitting, lying flat, and lying on the side; the lying flat specifically includes lying on the back and lying on the stomach, and the lying on the side specifically includes lying on the left side and lying on the right side;

When the posture type is side-lying, obtain several element value peaks in the pressure area, and fit the several element value peaks into a straight line to determine it as the force axis; analyze the number of elements on both sides of the force axis in the pressure area, and determine the side with a larger number of elements as the facing side of the current user;

When the posture type is lying flat, the average value of the element values in the pressure area is calculated, and the area formed by the elements smaller than the average value of the element values is determined as a low-force area; if there is at least one low-force area in the longitudinal middle area of the pressure area, it is determined that the current user is in a supine posture, otherwise it is determined that the current user is in a prone posture.
The intelligent adjustment method for intelligent pressure-sensing adjustable bedding according to claim 3 is characterized in that the pressure matrix is divided into regions according to the current user's posture, and the pressure balance value of each partition is calculated, including:

Determining the height of the current user according to the posture of the current user;

Determining the position of each body part of the current user according to the height of the current user and the distribution of pressure data;

According to the positions of the various body parts, the compressed area is divided into at least a trunk partition, a left upper limb partition, a right upper limb partition, a left lower limb partition, and a right lower limb partition;

The minimum and maximum values of the element values in each partition are obtained respectively, and the average value is calculated to obtain the pressure balance value corresponding to each partition.
According to the intelligent adjustment method for intelligent pressure-sensing adjustable bedding according to claim 1, it is characterized in that the intelligent air pump is controlled to inflate or evacuate the folding airbags in each partition respectively, and after the error between the pressure value corresponding to each folding airbag and the pressure balance value enters the allowable error range, the pressure adjustment method is obtained. Take the first deformation value of each folded airbag, including:

In the pressurized area, the folded airbags corresponding to the elements with a pressure greater than the pressure balance value are slowly evacuated, and the folded airbags corresponding to the elements with a pressure less than the pressure balance value are slowly inflated;

Real-time monitoring of the pressure value of each folded airbag in the pressure area during inflation or deflating, and recording the real-time deformation value of each folded airbag; wherein the real-time deformation value is the difference between the real-time expansion and contraction value of the folded airbag and the initial expansion and contraction value;

When the error between the pressure value borne by the folding airbag and the corresponding pressure balance value enters the allowable error range, or the real-time deformation value reaches the boundary value of the telescopic interval corresponding to the current adjustment gear, the inflation or degassing process is stopped;

The real-time deformation value of each folded airbag in the pressurized area at this time is determined as the first deformation value of each folded airbag.
The intelligent adjustment method for intelligent pressure-sensing adjustable bedding according to claim 1 is characterized in that the predicted posture of the current user at the next moment and the predicted position of each body part are predicted based on the pressure matrix change characteristics at the current moment and the previous moment, including:

Subtracting the pressure matrix at the current moment from the pressure matrix at the previous moment to obtain a current pressure change matrix, and inheriting the partition position of the pressure matrix in the current pressure change matrix;

Count the ratio of negative values to positive values in each partition respectively;

Determining the movement direction of the current user according to the ratio of each partition;

Inputting the current pressure change matrix into a pre-trained posture prediction model to obtain a predicted posture of the current user at the next moment;

The predicted positions of various body parts of the current user are determined according to the movement direction and the predicted posture.
The intelligent adjustment method for intelligent pressure-sensing adjustable bedding according to claim 1 is characterized in that the second deformation value of each folded airbag at the predicted position of each body part is determined according to the first deformation value and the predicted posture, comprising:

Determining a predicted pressure area according to the predicted posture;

Re-dividing the predicted compressed area according to the predicted positions of the various body parts to obtain various predicted partitions;

The folding airbags in each predicted partition correspond to the folding airbags in each partition at the current moment one by one;

The first deformation value of the folded airbag in each partition at the current moment is assigned to the folded airbag in the corresponding predicted partition to obtain the second deformation value of each folded airbag in the predicted pressure area; and the second deformation value of each folded airbag outside the predicted pressure area is set to 0.
According to claim 7, the intelligent adjustment method for intelligent pressure-sensitive adjustment bedding is characterized in that, according to the second deformation value, each folding airbag at the predicted position of each body part is inflated or deflated in advance accordingly, specifically comprising:

At the beginning of the next moment, the intelligent air pump is controlled to inflate or exhaust each folded airbag, and the real-time deformation value of each folded airbag is recorded until the error between the real-time deformation value and the second deformation value enters the allowable error range, or the real-time deformation value reaches the boundary value of the telescopic interval corresponding to the current adjustment gear, and then the inflation or exhaust process is stopped;

After detecting that the current user's posture change has ended, the intelligent air pump is controlled according to the real-time pressure matrix to fine-tune the folding airbags in each partition so that the error between the pressure value corresponding to each folding airbag and the pressure balance value of each actual partition is within the allowable error range.
According to claim 1, the intelligent adjustment method for intelligent pressure-sensitive adjustment bedding is characterized in that the intelligent pressure-sensitive adjustment bedding further comprises a first strip airbag area and a second strip airbag area, the first strip airbag area is located at the head end of the bedding base, and the second strip airbag area is located at the tail end of the bedding base;

After analyzing and calculating the pressure matrix to determine the current user's posture, the method further includes:

When the current user's posture type is a sitting posture, the folding airbag is not adjusted;

If the pressure value detected by the fiber sensor on the surface of the first strip airbag area exceeds the minimum pressure threshold, the intelligent air pump is controlled to fill the plurality of strip airbags in the first strip airbag area with gas to different degrees according to the preset inflation amount, so that the head end of the intelligent pressure-sensing adjustable bedding is raised and presents a preset curvature; wherein the plurality of strip airbags are closely arranged transversely in the first strip airbag area; the transverse direction refers to a direction parallel to the width of the bedding.
An intelligent adjustment device applied to intelligent pressure-sensing adjustment bedding, characterized in that the device comprises:

at least one processor; and,

a memory communicatively connected to the at least one processor; wherein,

The memory stores instructions that can be executed by the at least one processor, so that the at least one processor can execute the intelligent adjustment method applied to the intelligent pressure-sensing adjustable bedding according to any one of claims 1-9.