Intelligent pressure-sensitive low-noise adjusting bedding and adjusting method and equipment thereof

Abstract

The invention belongs to the technical field of intelligent control, particularly relates to an intelligent pressure-sensitive low-noise adjusting bedding and an adjusting method and adjusting equipment thereof, and is used for solving the problems that an existing intelligent bedding is poor in noise reduction effect, inflation and deflation noise and the adjusting speed are mutually restricted, and the comfort of a user is affected. The intelligent pressure-sensitive low-noise adjusting bedding comprises an intelligent air pump, a low-pressure air bag, a high-pressure air bag connected with the intelligent air pump, a plurality of air springs which are connected with the high-pressure air bag and the low-pressure air bag through pipelines with valves and are vertically arranged on a bedding base, fiber pressure sensors arranged at the tops of the air springs and an audio acquisition device. The adjusting method comprises the steps of determining an initial sleeping posture and each piece of to-be-determined pressure data based on initial pressure data and a preset sleeping posture model, and further determining a to-be-inflated / deflated air spring; on the basis of the real-time noise information and the initial sleeping posture, the noise threshold value adjusting range is determined, and the inflation / deflation state of each air spring to be inflated / deflated is further dynamically adjusted.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent control, and particularly relates to an intelligent pressure-sensitive low-noise adjustable bedding and its adjustment method and adjustment device. Background Technique

[0002] Disclosing the information of this background technical part is only intended to increase the understanding of the overall background of the present invention, and is not necessarily regarded as an admission or an indication in any form that this information constitutes the prior art already known to those of ordinary skill in the art.

[0003] During sleep and lying, the body is in full contact with the bedding, thus reducing the burden of the body against gravity and effectively relaxing the whole body, especially the spine. Although the bedding offsets the influence of gravity on the body during lying, the bedding itself has a reaction force on the body. When the hardness and softness of the bedding do not match the body's force, it will instead cause an additional burden on the body. To adapt to the bedding, the body will tighten the spine and muscles more, or cause excessive stretching of local ligaments, resulting in diseases such as stiff neck and low back pain, and at the same time, it will also affect the body comfort during sleep.

[0004] To solve the above problems, in existing intelligent bedding, an air pump or an electromagnetic valve is usually used to inflate or deflate the airbag or air spring in the mattress, so that the intelligent bedding becomes harder or softer to improve the sleep comfort of users. However, during the inflation or deflation of the airbag, the working noise of the air pump and the flowing sound of the deflation air flow will affect the sleep of the user. Reducing the flow rate of the air pump and the deflation valve can reduce the noise generated by inflation and deflation to a certain extent, but when the sleep posture changes, the airbag is difficult to adjust quickly, resulting in the hardness and softness of the mattress being difficult to match the posture change in time, thus affecting the comfort during sleep.

[0005] The existing patent CN116616581B discloses a noise control method. Based on the preset relationships between environmental noise and wind speed, and between wind speed and opening degree, the opening state of the deflation valve device is dynamically adjusted to adjust the wind speed of the airbag deflation, so as to actively reduce the noise during the deflation of the airbag and at the same time quickly adjust the airbag of the mattress to an appropriate softness and hardness. In this patent, environmental noise is used as an index to adjust the deflation valve, making the working noise of the deflation valve less than the environmental noise, but it does not indicate whether the working noise of the deflation valve is excluded from the environmental noise, and there may be a problem of over-adjustment caused by the working noise as an adjustment index. Moreover, this patent uses the directly collected environmental noise as a control index, ignoring the noise tolerance of users in different sleeping postures and different sleep stages. In addition, this patent only shows the noise control during the deflation process, and the working noise intensity of the air pump during the inflation process is higher. Based on the disclosure of this patent, it cannot be reasonably inferred that its control method can simultaneously meet the inflation speed and noise control. Summary of the Invention

[0006] The present invention provides an intelligent pressure-sensitive low-noise adjustable bedding, an adjustment method thereof, and an adjustment device, which are used to solve the problems that the existing intelligent bedding has poor noise reduction effect, the inflation and deflation noise and the adjustment speed restrict each other, and affect the comfort of users.

[0007] In order to achieve the above object, the present invention is realized by the following technical solutions:

[0008] In the first aspect, the present invention provides an intelligent pressure-sensitive low-noise adjustable bedding, including an intelligent air pump, a low-pressure airbag, a high-pressure airbag connected to the intelligent air pump, a plurality of air springs respectively connected to the high-pressure airbag and the low-pressure airbag through pipelines with valves and vertically arranged on the bedding base, fiber pressure sensors arranged on the tops of the air springs, and an audio collection device. The low-pressure airbag is provided with a deflation valve. The intelligent air pump, the low-pressure airbag and the high-pressure airbag are arranged at the tail end of the intelligent pressure-sensitive low-noise adjustable bedding, and the audio collection device is arranged at the head end.

[0009] In the second aspect, the present invention provides an adjustment method for the intelligent pressure-sensitive low-noise adjustable bedding as described in the first aspect, including the following steps:

[0010] Obtain the initial pressure data of each fiber pressure sensor, and determine the initial sleeping position and each undetermined pressure data based on the initial pressure data and a preset sleeping position model;

[0011] Generate corresponding adjustment pressure data based on the initial sleeping position and each undetermined pressure data, and determine the air springs to be inflated and the air springs to be deflated;

[0012] Obtain the real-time noise information collected by the audio collection device, and determine the adjustment noise threshold range based on the real-time noise information and the initial sleeping position;

[0013] Inflate each air spring to be inflated with the high-pressure airbag, deflate each air spring to be inflated with the low-pressure airbag, and dynamically adjust the inflation state of each air spring to be inflated and / or the deflation state of each air spring to be deflated based on the real-time noise information and the adjustment noise threshold range until each undetermined pressure data is satisfied.

[0014] In an implementation manner of the present invention, the step of determining the initial sleeping position and each undetermined pressure data based on the initial pressure data and a preset sleeping position model specifically includes:

[0015] Input the sleeping position pressure data sample into a multiple linear regression model, train the multiple linear regression model, and obtain the preset sleeping position model. The sleeping position pressure data sample includes the pressure data before adjustment and the pressure data after adjustment;

[0016] Input each of the initial pressure data into the preset sleeping posture model, determine the initial sleeping posture and the initial pressure data that needs to be adjusted, and output the corresponding pending pressure data.

[0017] In one implementation of the present invention, the step of inputting each of the initial pressure data into the preset sleeping posture model, determining the initial sleeping posture and the initial pressure data that needs to be adjusted, and outputting the corresponding pending pressure data specifically includes:

[0018] Determine the initial pressure data sequence corresponding to each of the initial pressure data, match the initial pressure data sequence with the pre-adjustment pressure data sequence corresponding to the pre-adjustment pressure data, and determine the initial sleeping posture;

[0019] According to the human body parts corresponding to the initial sleeping posture, divide the initial pressure data sequence into several initial pressure data subsequences;

[0020] According to the preset adjustment criteria, respectively determine the corresponding pending pressure data subsequences for each of the initial pressure data subsequences, and generate each of the pending pressure data. The preset adjustment criteria include a comparison threshold for determining the initial pressure data that needs to be adjusted.

[0021] In one implementation of the present invention, the step of generating the corresponding adjusted pressure data based on the initial sleeping posture and each of the pending pressure data, and determining the air springs to be inflated and the air springs to be deflated specifically includes:

[0022] Based on the relationship between the pressure data of the fiber pressure sensor and the pressure value of the air spring in different sleeping postures, convert each of the pending pressure data into each of the adjusted pressure data;

[0023] Compare the pressure value of each air spring with each of the adjusted pressure data. The air spring with a pressure value less than the adjusted pressure data is determined as the air spring to be inflated, and the air spring with a pressure value greater than the adjusted pressure data is determined as the air spring to be deflated.

[0024] In one implementation of the present invention, obtain the real-time noise information collected by the audio collection device, and determine the adjusted noise threshold range based on the real-time noise information and the initial sleeping posture, specifically including:

[0025] Based on the real-time noise information, use the noise feature database to determine the environmental noise information in the real-time noise information. The environmental noise information includes the environmental noise type and the environmental noise intensity;

[0026] Based on the environmental noise type, determine the environmental adjustment coefficient;

[0027] Based on the initial sleeping posture, determine the sleeping posture adjustment coefficients corresponding to each sleeping posture;

[0028] Based on the environmental noise intensity, environmental adjustment coefficient, and sleeping posture adjustment coefficient, determine the adjusted noise threshold range;

[0029] Repeat the above steps at regular intervals to re-determine the adjusted noise threshold range.

[0030] In one implementation of the present invention, inflating each of the air springs to be inflated using a high-pressure airbag and deflating each of the air springs to be deflated using a low-pressure airbag specifically includes:

[0031] Open the valves of the pipelines between the high-pressure airbag and each of the air springs to be inflated, and the gas in the high-pressure airbag enters each of the air springs to be inflated until the pressure value of the air spring to be inflated meets the adjustment pressure data;

[0032] Open the valves of the pipelines between the low-pressure airbag and each of the air springs to be deflated, and the gas in each of the air springs to be deflated enters the low-pressure airbag until the pressure value of each of the air springs to be deflated meets the adjustment pressure data.

[0033] In one implementation of the present invention, based on the real-time noise information and the adjusted noise threshold range, dynamically adjusting the inflation state of each of the air springs to be inflated and / or the deflation state of each of the air springs to be deflated specifically includes:

[0034] Determine the noise intensity in the real-time noise information, and compare the noise intensity with the adjusted noise threshold range;

[0035] When the noise intensity is less than the minimum value in the adjusted noise threshold range, adjust the valve opening degrees of the pipelines between the high-pressure airbag and each of the air springs to be inflated and / or each of the air springs to be deflated one by one until the noise intensity is higher than the maximum value in the adjusted noise threshold range;

[0036] When the noise intensity is greater than the minimum value in the adjusted noise threshold range, adjust the valve opening degrees of the pipelines between the high-pressure airbag and each of the air springs to be inflated and / or each of the air springs to be deflated one by one until the noise intensity is lower than the minimum value in the adjusted noise threshold range.

[0037] In one implementation of the present invention, based on the real-time noise information and the adjusted noise threshold range, dynamically adjusting the inflation state of each of the air springs to be inflated and / or the deflation state of each of the air springs to be deflated further includes:

[0038] Monitor the pressure values of the high-pressure airbag and the low-pressure airbag. When the pressure value of the high-pressure airbag is less than the standard pressure and the noise intensity is lower than the minimum value in the adjusted noise threshold range, use the intelligent air pump to inflate the high-pressure airbag until the pressure value is greater than the standard pressure; when the pressure value of the low-pressure airbag is greater than the standard pressure and the noise intensity is lower than the minimum value in the adjusted noise threshold range, deflate the low-pressure airbag until the pressure value is less than the standard pressure;

[0039] The standard pressure of the high-pressure airbag is the maximum pressure of each air spring, and the standard pressure of the low-pressure airbag is the minimum pressure of each air spring.

[0040] In a third aspect, an adjustment device for an intelligent pressure-sensing and low-noise adjustable bedding as described in the first aspect of the present invention is characterized by comprising:

[0041] At least one processor; and,

[0042] A memory communicatively connected to the at least one processor; wherein,

[0043] The memory stores instructions that can be executed by the at least one processor, so that the at least one processor can execute the adjustment method as described in the second aspect.

[0044] The beneficial effects obtained by one or more of the above technical solutions of the present invention are as follows:

[0045] A high-pressure airbag and a low-pressure airbag are provided in the intelligent pressure-sensing and low-noise adjustable bedding. During the inflation process of the air spring, the air spring is inflated through the pressure difference between the high-pressure airbag and the air spring, avoiding the large working noise generated by the intelligent air pump to meet the rapid adjustment of the air spring. During the deflation process of the air spring, the air is deflated into the low-pressure airbag, reducing the deflation pressure difference and thus reducing the deflation noise. The high-pressure airbag and the low-pressure airbag meet the adjustment speed while meeting the noise reduction requirements.

[0046] The adjustment method takes into account the type and intensity of the environmental noise heard by the user during the sleep stage and the sensitivity to different noises in different sleeping postures, sets the adjusted noise threshold range based on the environmental noise type, environmental noise intensity and sleeping posture, and adjusts the inflation and deflation process of the air spring with the adjusted noise threshold range as an index, improving the adjustment accuracy and avoiding over-adjustment to simultaneously meet the noise reduction effect and the adjustment speed. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The specification drawings forming a part of the present invention are used to provide a further understanding of the present invention. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation to the present invention.

[0048] Figure 1A top-down cross-sectional view of an intelligent pressure-sensitive low-noise adjustable bedding in an embodiment of the present invention;

[0049] Figure 2 A top view of an intelligent pressure-sensitive low-noise adjustable bedding in an embodiment of the present invention;

[0050] Figure 3 A schematic flow chart of an adjustment method for an intelligent pressure-sensitive low-noise adjustable bedding in an embodiment of the present invention;

[0051] Figure 4 A schematic structural diagram of an adjustment device for an intelligent pressure-sensitive low-noise adjustable bedding in an embodiment of the present invention;

[0052] In the figure, 100 is an intelligent pressure-sensitive low-noise adjustable bedding, 110 is the head end, 111 is an audio acquisition device, 120 is an air spring, 121 is a fiber pressure sensor, 130 is the tail end, 131 is an intelligent air pump, 132 is a low-pressure airbag, 133 is a high-pressure airbag. Detailed implementation manners

[0053] In order to enable those skilled in the art to more clearly understand the technical solutions of the present invention, the technical solutions of the present invention will be described in detail below in combination with specific embodiments and comparative examples.

[0054] An embodiment of the present application provides a top-down cross-sectional view of an intelligent pressure-sensitive low-noise adjustable bedding. As Figure 1 shown, the intelligent pressure-sensitive low-noise adjustable bedding 100 includes an intelligent air pump 131, a low-pressure airbag 132, and a high-pressure airbag 133 connected to the intelligent air pump 131, which are arranged at the tail end 130, and a plurality of air springs 120 that are respectively connected to the high-pressure airbag 133 and the low-pressure airbag 132 through pipelines (not shown) with valves (not shown) and are vertically arranged on the bedding base. The low-pressure airbag 132 is provided with a deflation valve (not shown). As Figure 2 shown, fiber pressure sensors 121 are arranged at the tops of the air springs 120, and an audio acquisition device 111 is arranged at the head end 110 of the intelligent pressure-sensitive low-noise adjustable bedding 100.

[0055] The audio acquisition device 111 is arranged at the head end 120, close to the user's head, and can collect the noise heard by the user more accurately. The intelligent air pump 131, the low-pressure airbag 132, and the high-pressure airbag 133 are arranged at the tail end 130 to prevent the noise and pressure changes generated during their operation from affecting the user's comfort level. The low-pressure airbag 132 is set to deflate the air spring 120. Since the air pressure in the air spring 120 is much higher than the atmospheric pressure, when the air spring 120 deflates directly to the atmosphere, the pressure difference is large, resulting in a high gas flow rate and generating airflow noise that affects sleep. The low-pressure airbag 132 is used as a buffer device for the deflation of the air spring 120 to reduce the pressure difference and gas flow rate generated when the air spring 120 deflates. At the same time, the airflow noise is covered by the intelligent pressure-sensitive low-noise adjustable bedding 100, so as to meet the needs of noise reduction and pressure adjustment at the same time. The high-pressure airbag 133 is set to inflate the air spring 120, avoiding the large working noise generated by the intelligent air pump 131 to meet the rapid adjustment of the air spring 120. To keep the pressures of the low-pressure airbag 132 and the high-pressure airbag 133 at the levels required for operation, the deflation valve of the low-pressure airbag 132 and the intelligent air pump 131 can be turned on at low power on the premise of meeting the noise requirements.

[0056] In the embodiment of the present application, the low-pressure airbag 132 is connected to the intake end of the intelligent air pump 131, and then the air in the low-pressure airbag 132 can be recycled for inflating the high-pressure airbag 133.

[0057] In the embodiment of the present application, the number of air springs 120 can be adjusted according to actual use.

[0058] In the embodiment of the present application, a method for adjusting an intelligent pressure-sensitive low-noise adjustable bedding is provided for the above-mentioned intelligent pressure-sensitive low-noise adjustable bedding, as Figure 3 shown, including steps S1 to S4.

[0059] S1. Obtain the initial pressure data of each fiber pressure sensor, and based on the initial pressure value and the preset sleeping posture model, determine the initial sleeping posture and each pending pressure data.

[0060] Among them, the initial pressure data is the bearing pressure data of the intelligent pressure-sensitive low-noise adjustable bedding on the current user.

[0061] The initial pressure data is collected by the fiber pressure sensor, and then the initial pressure data of each fiber pressure sensor is obtained through the processor electrically connected to the fiber pressure sensor. The processor can be an internal processor or an external processor of the intelligent air pump.

[0062] When the user lies, reclines, or sits on the intelligent pressure-sensitive low-noise adjustable bedding, the fiber pressure sensor collects the bearing pressure data of the intelligent pressure-sensitive low-noise adjustable bedding on the current user and transmits it to the processor, which uses the bearing pressure data as the initial pressure data. In the processor or the storage medium connected to the processor, the bearing pressure data of the bedding when it is not in use can be pre-stored, and a bearing pressure range can be set. The minimum value of the bearing pressure range can be the bearing pressure data when the bedding bears a baby or a child, and the maximum value of the bearing pressure range can be the maximum bearing pressure data that the bedding can bear. The processor can determine whether there is a current user when the bearing pressure data is within the bearing pressure range.

[0063] The storage medium includes phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette tape, disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device.

[0064] In an embodiment of the present invention, based on the initial pressure data and the preset sleeping posture model, the initial sleeping posture and each undetermined pressure data are determined, specifically including:

[0065] Input the sleeping posture pressure data sample into the multiple linear regression model, train the multiple linear regression model, and obtain the preset sleeping posture model. The sleeping posture pressure data sample includes the pressure data before adjustment and the pressure data after adjustment;

[0066] Input each initial pressure data into the preset sleeping posture model, determine the initial sleeping posture and the initial pressure data that needs to be adjusted, and output the corresponding undetermined pressure data.

[0067] Since the above input initial pressure data samples correspond to different sleeping postures, when using the initial pressure data samples to train the preset sleeping posture model, the sleeping posture label corresponding to the initial pressure data sample can be given, so that the preset sleeping posture model can identify the sleeping posture corresponding to the initial pressure data. The preset sleeping posture model can be a multiple linear regression model or a neural network model.

[0068] In an embodiment of the present invention, since it is less efficient for the processor to calculate the undetermined pressure data of each air spring individually, to improve the acquisition speed of the undetermined pressure data, input each of the initial pressure data into the preset sleeping posture model, determine the initial sleeping posture and the initial pressure data that needs to be adjusted, and output the corresponding undetermined pressure data, specifically including:

[0069] Determine the initial pressure data sequence corresponding to each initial pressure data, match the initial pressure data sequence with the pre-regulation pressure data sequence corresponding to the pre-regulation pressure data, and determine the initial sleeping position;

[0070] According to the human body part corresponding to the initial sleeping position, divide the initial pressure data sequence into several initial pressure data subsequences;

[0071] According to the preset regulation standard, respectively determine each pending pressure data subsequence corresponding to each initial pressure data subsequence, and generate each pending pressure data. The preset regulation standard includes a comparison threshold for determining the initial pressure data that needs to be regulated.

[0072] The pressure coordination standard can be understood as the standard for whether to adjust the pressure of the air springs and / or strip-shaped airbags corresponding to each part of the human body. Take the average value of the initial pressure data subsequence corresponding to the "buttocks" area of the body part, and take the average value of the initial pressure data subsequence corresponding to the "waist" area of the body part. For example, the average value corresponding to the "buttocks" area is a, the average pressure value corresponding to the "waist" area is b, the comparison threshold is c, the average value of "buttocks" is greater than the comparison threshold, while the average value of "waist" is less than the comparison threshold, then the initial pressure data corresponding to "buttocks" and "waist" are both pressure data to be coordinated. Among them, the processor can provide the error of the comparison threshold, and the error is d, constituting an acceptable error comparison threshold interval [c - d, c + d] for the coordinated comparison threshold. When the average value of the initial pressure data subsequence in the "waist" and "buttocks" areas is within the acceptable error comparison threshold interval, the pressure adjustment can no longer be performed.

[0073] S2. Based on the initial sleeping position and each pending pressure data, generate the corresponding adjusted pressure data, and determine the air springs to be inflated and the air springs to be deflated.

[0074] In the embodiment of the present invention, based on the initial sleeping position and each pending pressure data, generating the corresponding adjusted pressure data, and determining the air springs to be inflated and the air springs to be deflated specifically includes:

[0075] Based on the relationship between the pressure data of the fiber pressure sensor and the pressure value of the air spring in different sleeping positions, convert each pending pressure data into each adjusted pressure data;

[0076] Compare the pressure value of each air spring with each of the adjusted pressure data. The air spring with a pressure value less than the adjusted pressure data is determined as the air spring to be inflated, and the air spring with a pressure value greater than the adjusted pressure data is determined as the air spring to be deflated.

[0077] The pressures on different parts of the body are different in different sleeping postures. For example, when lying on the back, the initial pressure data on the back and buttocks are relatively large, while the initial pressure data on the waist and legs are relatively small. After adjustment, the pending pressure data on the back and buttocks decrease compared with the initial pressure data, while the pending pressure data on the waist and legs increase. The pending pressure data corresponds to the detected pressure of the fiber pressure sensor, rather than the internal pressure of the air spring, and the air spring cannot be adjusted directly based on the pending pressure data. Therefore, the pending pressure data is converted into adjustment pressure data, which is then used to compare with the pressure value of the air spring.

[0078] S3. Obtain the real-time noise information collected by the audio acquisition device, determine the environmental noise information, and determine the adjustment noise threshold range based on the environmental noise information and the initial sleeping posture.

[0079] In an embodiment of the present invention, obtaining the real-time noise information collected by the audio acquisition device, determining the environmental noise information, and determining the adjustment noise threshold range based on the environmental noise information and the initial sleeping posture specifically include:

[0080] Based on the real-time noise information, use the noise feature database to determine the environmental noise information in the real-time noise information, where the environmental noise information includes the environmental noise type and the environmental noise intensity;

[0081] Determine the environmental adjustment coefficient based on the environmental noise type and the environmental noise intensity;

[0082] Determine the sleeping posture adjustment coefficient corresponding to each sleeping posture based on the initial sleeping posture;

[0083] Determine the adjustment noise threshold range based on the environmental noise intensity, the environmental adjustment coefficient, and the sleeping posture adjustment coefficient;

[0084] Repeat the above steps at intervals of a set time to re-determine the adjustment noise threshold range.

[0085] During the adjustment process, the real-time noise actually heard by the user consists of the working noise generated by air charging and discharging and the environmental noise. If the two are not distinguished and the real-time noise information is directly used to adjust the air spring charging and discharging process, the adjusted working noise is re-used as the adjustment standard, causing the adjustment standard to change continuously, and thus resulting in over-adjustment.

[0086] The environmental noise during sleep can be divided into continuous noise and discontinuous noise. Continuous noise includes the working noise generated by indoor equipment (such as clocks, air conditioners, humidifiers, etc.), and discontinuous noise includes snoring, talking in sleep, and sudden noise, etc. Continuous noise often has a fixed intensity range and is regular, while the noise intensity of discontinuous noise has a large fluctuation range, with poor regularity or no regularity. In addition, the environmental noise intensity is relatively low at midnight, making it impossible to achieve effective adjustment. Therefore, based on different types of environmental noise and environmental noise intensity, different environmental adjustment coefficients are determined. For example, the environmental adjustment coefficient is set to 1 - 1.1 for continuous noise, and 0.5 - 0.7 for discontinuous noise, to improve the accuracy of noise control and avoid the noise control affecting the adjustment function.

[0087] The perception of noise is different in different sleeping postures. When lying flat, both ears of the user are unobstructed, while when lying on the side, one ear of the user is close to the bedding. Compared with lying flat, the user is more sensitive to the working noise generated inside the intelligent pressure-sensitive low-noise adjustable bedding. Therefore, different sleeping posture adjustment coefficients need to be determined for different initial sleeping postures. The sleeping posture adjustment coefficient when lying on the side needs to be less than that when lying flat.

[0088] After determining the environmental adjustment coefficient and the sleeping posture adjustment coefficient, multiply the adjustment coefficient by the environmental noise intensity to determine the adjusted noise threshold range, and re-determine the adjusted noise threshold range at intervals of a set time (such as 5s, 10s, etc.) to ensure the accuracy of the adjusted noise threshold range.

[0089] S4, use the high-pressure airbag to inflate the air spring to be inflated, and use the low-pressure airbag to deflate the air spring to be deflated. Based on the real-time noise information and the adjusted noise threshold range, dynamically adjust the inflation state of the air spring to be inflated and / or the deflation state of the air spring to be deflated until the pending pressure data are satisfied.

[0090] The inflation / deflation adjustment is not a one-time large adjustment, but a step-by-step small-step strategy. After each adjustment, wait for a certain time interval (such as 0.1s, 0.2s), and observe the feedback information such as noise intensity and pressure change to ensure that the adjustment effect is controllable and prevent over-adjustment.

[0091] In the embodiment of the present invention, using the high-pressure airbag to inflate the air spring to be inflated and using the low-pressure airbag to deflate the air spring to be deflated specifically includes:

[0092] Open the valve of the pipeline between the high-pressure airbag and each air spring to be inflated, and the gas in the high-pressure airbag enters each air spring to be inflated until the pressure value of the air spring to be inflated meets the adjusted pressure data;

[0093] Open the valve of the pipeline between the low-pressure airbag and each air spring to be deflated, and the gas in the air spring to be deflated enters the low-pressure airbag until the pressure values of each air spring to be deflated meet the regulated pressure data.

[0094] During the inflation process, the processor regulates the valve according to the preset inflation rate curve. The inflation rate curve is formulated based on factors such as the elastic characteristics of the air spring, the response time of the overall mattress structure to pressure distribution, and the human perception sensitivity to pressure changes. For example, at the initial stage of inflation, to quickly make up for a large pressure gap, the inflation rate is relatively fast; as the pressure value of the air spring to be inflated gradually approaches the regulated pressure data, the inflation rate gradually slows down to avoid overshoot of pressure and ensure accurate attainment of the target pressure.

[0095] The deflation process also follows the rate control principle, which is determined based on factors such as the comfort requirements of the mattress, preventing local collapse of the mattress due to rapid deflation, and reducing deflation noise. For example, a step-by-step decreasing deflation rate mode is adopted. At the initial stage, most of the excess gas is discharged at a relatively fast rate. As the pressure of the air spring to be deflated approaches the regulated pressure data, the deflation rate gradually decreases until the valve is closed when the target pressure is reached, and the entire deflation process proceeds smoothly and orderly.

[0096] In the embodiment of the present invention, based on the real-time noise information and the regulated noise threshold range, the inflation state of the air spring to be inflated and / or the deflation state of the air spring to be deflated are dynamically adjusted, specifically including:

[0097] Determine the noise intensity in the real-time noise information, and compare the noise intensity with the regulated noise threshold range;

[0098] When the noise intensity is less than the minimum value in the regulated noise threshold range, adjust the valve opening degrees of the pipelines between the high-pressure airbag and each air spring to be inflated and / or each air spring to be deflated one by one until the noise intensity is higher than the maximum value in the regulated noise threshold range;

[0099] When the noise intensity is greater than the minimum value in the regulated noise threshold range, adjust the valve opening degrees of the pipelines between the high-pressure airbag and each air spring to be inflated and / or each air spring to be deflated one by one until the noise intensity is lower than the minimum value in the regulated noise threshold range.

[0100] In another embodiment of the present invention, based on the real-time noise information and the regulated noise threshold range, dynamically adjusting the inflation state of the air spring to be inflated and / or the deflation state of the air spring to be deflated further includes:

[0101] Monitor the pressure values of the high-pressure airbag and the low-pressure airbag. When the pressure value of the high-pressure airbag is less than the standard pressure and the noise intensity is lower than the minimum value of the adjusted noise threshold range, use an intelligent air pump to inflate the high-pressure airbag until the pressure value is greater than the standard pressure. When the pressure value of the low-pressure airbag is greater than the standard pressure and the noise intensity is lower than the minimum value in the adjusted noise threshold range, deflate the low-pressure airbag until the pressure value is less than the standard pressure;

[0102] The standard pressure of the high-pressure airbag is the maximum pressure of each air spring, and the standard pressure of the low-pressure airbag is the minimum pressure of each air spring.

[0103] During the pressure adjustment process of the high-pressure airbag and the low-pressure airbag, the pressure adjustment speed can be changed according to the degree of pressure change during inflation / deflation and the noise intensity. For example, the power of the intelligent air pump or the opening of the air release valve can be adjusted to keep the pressure of the high-pressure airbag or the low-pressure airbag constant, minimizing the working noise brought by the high-pressure airbag and the low-pressure airbag.

[0104] An embodiment of the present invention provides an adjustment device for the above-mentioned intelligent pressure-sensitive low-noise adjustable bedding, such as Figure 4 shown, including:

[0105] At least one processor; and,

[0106] A memory communicatively connected to the at least one processor; wherein,

[0107] The memory stores instructions that can be executed by the at least one processor, enabling the at least one processor to execute the above adjustment method.

[0108] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent pressure-sensitive low-noise adjustable bedding, characterized in that: It includes an intelligent air pump, a low-pressure airbag, a high-pressure airbag connected to the intelligent air pump, a plurality of air springs which are connected to the high-pressure airbag and the low-pressure airbag respectively through pipelines with valves and are vertically arranged on a bedding base, a fiber pressure sensor arranged on the top of each of the air springs, and an audio collection device. The low-pressure airbag is provided with an air release valve. The intelligent air pump, the low-pressure airbag and the high-pressure airbag are arranged at the tail end of the intelligent pressure-sensitive low-noise adjustable bedding, and the audio collection device is arranged at the head end.

2. A method for adjusting the intelligent pressure-sensitive low-noise adjustable bedding as claimed in claim 1, characterized in that: The following steps are involved: Acquire initial pressure data of each of the fiber pressure sensors, and determine an initial sleeping posture and each to-be-determined pressure data based on the initial pressure data and a preset sleeping posture model; Based on the initial sleeping posture and the to-be-determined pressure data, corresponding adjustment pressure data are generated to determine the air spring to be inflated and the air spring to be deflated; Acquire real-time noise information collected by the audio collection device, and determine the adjustment noise threshold range based on the real-time noise information and the initial sleeping posture; A high-pressure airbag is used to inflate each of the air springs to be inflated, and a low-pressure airbag is used to deflate each of the air springs to be inflated. Based on the real-time noise information and the adjustment noise threshold range, the inflation state of each of the air springs to be inflated and / or the deflation state of each of the air springs to be deflated are dynamically adjusted until each of the pending pressure data is met.

3. The adjustment method according to claim 2, characterized in that: The determining of the initial sleeping posture and each pending pressure data based on the initial pressure data and the preset sleeping posture model specifically includes: Inputting the sleeping posture pressure data sample into a multiple linear regression model, training the multiple linear regression model, and obtaining the preset sleeping posture model, wherein the sleeping posture pressure data sample includes pressure data before adjustment and pressure data after adjustment; The initial pressure data are input into the preset sleeping posture model, the initial sleeping posture and the initial pressure data to be adjusted are determined, and the corresponding pending pressure data are output.

4. The adjustment method according to claim 3, characterized in that: The step of inputting each of the initial pressure data into the preset sleeping posture model, determining the initial sleeping posture and the initial pressure data to be adjusted, and outputting each of the corresponding pending pressure data specifically includes: determining an initial pressure data sequence corresponding to each of the initial pressure data, matching the initial pressure data sequence with a pre-adjustment pressure data sequence corresponding to the pre-adjustment pressure data, and determining the initial sleeping position; dividing the initial pressure data sequence into a plurality of initial pressure data subsequences according to the human body part corresponding to the initial sleeping posture; According to a preset adjustment standard, each pending pressure data subsequence corresponding to each initial pressure data subsequence is determined respectively to generate each pending pressure data, wherein the preset adjustment standard includes a comparison threshold for determining the initial pressure data that needs to be adjusted.

5. The adjustment method according to claim 2, characterized in that: The generating corresponding adjustment pressure data based on the initial sleeping posture and the to-be-determined pressure data, and determining the air spring to be inflated and the air spring to be deflated specifically includes: Based on the relationship between the pressure data of the fiber pressure sensor and the pressure value of the air spring under different sleeping positions, the to-be-determined pressure data are converted into respective adjustment pressure data; The pressure value of each air spring is compared with each of the adjustment pressure data, and the air spring whose pressure value is less than the adjustment pressure data is determined as the air spring to be inflated, and the air spring whose pressure value is greater than the adjustment pressure data is determined as the air spring to be deflated.

6. The adjustment method according to claim 2, characterized in that: Acquiring real-time noise information collected by an audio collection device, and determining an adjustment noise threshold range based on the real-time noise information and the initial sleeping posture, specifically comprising: Based on the real-time noise information, determine the environmental noise information in the real-time noise information using a noise feature database, wherein the environmental noise information includes the type of environmental noise and the intensity of environmental noise; Determining an environmental adjustment factor based on the environmental noise type; Based on the initial sleeping posture, determining a sleeping posture adjustment coefficient corresponding to each sleeping posture; Determining a noise adjustment threshold range based on the environmental noise intensity, the environmental adjustment coefficient, and the sleeping posture adjustment coefficient; The above steps are repeated at each set time interval to redefine the adjustment noise threshold range.

7. The adjustment method according to claim 2, characterized in that: The method of using a high-pressure airbag to inflate each of the air springs to be inflated and using a low-pressure airbag to deflate each of the air springs to be inflated specifically includes: Opening the valve of the pipeline between the high-pressure airbag and each of the air springs to be inflated, the gas in the high-pressure airbag enters each of the air springs to be inflated until the pressure value of the air spring to be inflated meets the adjustment pressure data; The valve of the pipeline between the low-pressure airbag and each of the air springs to be deflated is opened, and the gas in each of the air springs to be deflated enters the low-pressure airbag until the pressure value of each of the air springs to be deflated meets the adjustment pressure data.

8. The adjustment method according to claim 2, characterized in that: The dynamically adjusting the inflation state of each of the air springs to be inflated and / or the deflation state of each of the air springs to be deflated based on the real-time noise information and the adjusted noise threshold range specifically includes: Determining the noise intensity in the real-time noise information, and comparing the noise intensity with the adjusted noise threshold range; When the noise intensity is less than the minimum value in the noise adjustment threshold range, adjusting the valve opening of the pipeline between the high-pressure airbag and each of the air springs to be inflated and / or each of the air springs to be deflated one by one until the noise intensity is higher than the maximum value in the noise adjustment threshold range; When the noise intensity is greater than the minimum value in the adjustment noise threshold range, the valve opening of the pipeline between the high-pressure airbag and each of the air springs to be inflated and / or each of the air springs to be deflated is adjusted one by one until the noise intensity is lower than the minimum value in the adjustment noise threshold range.

9. The adjustment method according to claim 8, characterized in that: The method of dynamically adjusting the inflation state of each of the air springs to be inflated and / or the deflation state of each of the air springs to be deflated based on the real-time noise information and the adjustment noise threshold range further includes: Monitor the pressure values ​​of the high-pressure airbag and the low-pressure airbag, and when the pressure value of the high-pressure airbag is lower than the standard pressure and the noise intensity is lower than the minimum value in the noise adjustment threshold range, use the intelligent air pump to inflate the high-pressure airbag until the pressure value is greater than the standard pressure; when the pressure value of the low-pressure airbag is greater than the standard pressure and the noise intensity is lower than the minimum value in the noise adjustment threshold range, deflate the low-pressure airbag until the pressure value is less than the standard pressure; The standard pressure of the high-pressure airbag is the maximum pressure of each of the air springs, and the standard pressure of the low-pressure airbag is the minimum pressure of each of the air springs.

10. An adjustment device for intelligent pressure-sensitive low-noise adjustable bedding as claimed in claim 1, characterized in that: include: at least one processor; as well as, 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 adjustment method according to any one of claims 2 to 9.

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