Intelligent bed system and control method thereof

Abstract

The invention discloses an intelligent bed system and a control method thereof, and relates to the technical field of intelligent homes. The intelligent bed system comprises a sound acquisition module, a control module, a lifting mechanism and a sound wave emission mechanism, the sound collection module is electrically connected with the control module and is used for collecting the environment audio of the environment where the intelligent bed system is located and transmitting the environment audio to the control module; the control module is used for identifying environment audio and determining snore information in the environment audio; the snore information comprises snore intensity information, snore duration time information and snore phase information; the control module is electrically connected with the control end of the lifting mechanism and the control end of the sound wave emitting mechanism and used for controlling the working states of the lifting mechanism and the sound wave emitting mechanism according to the snore information. According to the technical scheme, the working states of the lifting mechanism and the sound wave emitting mechanism are controlled according to the snore information, the interference of the snore of a snorer on partners on the same bed is effectively reduced, and therefore the sleep quality of a user is improved.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of smart home technology, and in particular to a smart bed system and a control method thereof. Background Art

[0002] Smart home technology has developed rapidly in recent years, providing users with a more comfortable and convenient home experience through integrated sensors, automated control and artificial intelligence technologies. In the field of smart homes, improving sleep quality has become an important direction, especially for the problem of one person snoring disturbing the sleep of the other person in a double bed. Smart bed systems that can reduce snoring are gradually gaining attention.

[0003] In the prior art, the methods for reducing snoring in smart bed systems include posture correction, active noise reduction, and sound barriers. For example, a fixed sound barrier is set on the bed frame in the smart bed system to block the spread of snoring. Alternatively, a posture correction device is equipped in the smart bed system to reduce snoring by adjusting the sleeping posture of the snorer, and active noise reduction headphones are combined to protect the sleep of the other party.

[0004] However, the above methods of reducing snoring all have their shortcomings. Posture correction devices rely on mechanical push rods to forcibly adjust the sleeping position, which is uncomfortable and may interfere with sleep due to excessive thrust or improper adjustment, or even wake the user up. Active noise reduction headphones require users to wear the device, and the noise reduction effect is limited. Wearing headphones may affect the sleeping experience. Sound barriers are mostly fixed structures, which destroy the aesthetics of the bedroom space and cannot dynamically adapt to changes in human body position. When the snorer's position shifts, the sound insulation effect is significantly reduced. Summary of the invention

[0005] The present invention provides an intelligent bed system and a control method thereof, so as to effectively reduce the interference of the snoring of a snorer on a bed partner, thereby improving the sleep quality of the user.

[0006] A first aspect of the present invention provides an intelligent bed system, the intelligent bed system comprising: a sound collection module, a control module, a lifting mechanism and a sound wave transmitting mechanism;

[0007] The sound collection module is electrically connected to the control module, and is used to collect the ambient audio of the environment in which the smart bed system is located, and transmit the ambient audio to the control module;

[0008] The control module is used to identify the ambient audio and determine the snoring information in the ambient audio; the snoring information includes snoring intensity information, snoring duration information and snoring phase information;

[0009] The control module is electrically connected to the control end of the lifting mechanism and the control end of the sound wave emitting mechanism respectively, and is used to control the working states of the lifting mechanism and the sound wave emitting mechanism according to the snoring information.

[0010] Optionally, the lifting mechanism includes at least one lifting sub-mechanism;

[0011] The sound wave emitting mechanism includes at least one sound wave emitting sub-mechanism;

[0012] The control module is used to control at least one of the lifting sub-mechanisms to be lifted to a target height, and to control at least one of the sound wave emitting sub-mechanisms to emit a first target sound wave when the snoring intensity is greater than or equal to an intensity threshold, and the snoring duration is greater than or equal to a duration threshold; wherein the phase of the first target sound wave is related to the snoring phase information.

[0013] Optionally, the snoring information also includes snoring source information;

[0014] The control module is also used to determine the snoring source side and the non-snoring side according to the snoring source information;

[0015] The lifting mechanism includes a first lifting substructure and a second lifting substructure, the sound wave emitting mechanism includes the first sound wave emitting substructure and a first sound wave emitting substructure, the first sound wave emitting substructure is arranged on the first lifting substructure, and the second sound wave emitting substructure is arranged on the second lifting substructure;

[0016] The control module is used to control the first lifting sub-structure and the second lifting sub-structure to be lifted to a target height, and to at least control the sound wave emitting sub-mechanism located on the non-snoring side to emit the first target sound wave when the snoring intensity is greater than or equal to an intensity threshold and the snoring duration is greater than or equal to a duration threshold.

[0017] Optionally, the intelligent bed system further comprises: a pressure acquisition module;

[0018] The pressure acquisition module is electrically connected to the control module, and is used to acquire pressure distribution information of the intelligent bed system and transmit the pressure distribution information to the control module;

[0019] The control module is further used to determine the offset between the user's sleeping position and the lifting position of the lifting mechanism according to the pressure distribution information, and control the working state of the lifting mechanism according to the offset.

[0020] A second aspect of the present invention provides a control method for an intelligent bed system, which is applied to the intelligent bed system as described above;

[0021] The control method comprises:

[0022] Receive and identify the ambient audio of the environment in which the smart bed system is located, and determine the snoring information in the ambient audio; the snoring information includes snoring intensity information, snoring duration information and snoring phase information;

[0023] The working states of the lifting mechanism and the sound wave emitting mechanism are controlled according to the snoring information.

[0024] Optionally, identifying the ambient audio of the environment in which the smart bed system is located and determining the snoring information in the ambient audio includes:

[0025] Identify audio features of each sub-audio in the ambient audio;

[0026] Determine the snoring audio in the ambient audio according to the audio features and feature thresholds of each of the sub-audios;

[0027] Snoring information is determined according to the snoring audio.

[0028] Optionally, the audio features include audio periodicity, audio harmonic-to-noise ratio, and audio fluctuation degree;

[0029] The characteristic thresholds include a periodicity threshold, a harmonic-to-noise ratio threshold, a minimum fluctuation threshold, and a maximum fluctuation threshold;

[0030] Determining the snoring audio in the ambient audio according to the audio features and feature thresholds of each of the sub-audios includes:

[0031] Determine a periodicity probability factor according to a corresponding relationship between the audio periodicity of each of the sub-audios and the periodicity threshold;

[0032] Determine a harmonic-to-noise ratio probability factor according to a corresponding relationship between the audio harmonic-to-noise ratio of each of the sub-audios and the harmonic-to-noise ratio threshold;

[0033] Determine a fluctuation degree probability factor according to the corresponding relationship between the audio fluctuation degree of each sub-audio and the minimum fluctuation degree threshold and the maximum fluctuation degree threshold;

[0034] According to the periodic probability factor, the harmonic noise ratio probability factor and the fluctuation degree probability factor of each of the sub-audios, based on a first calculation formula, the snoring probability in the ambient audio is determined; the first calculation formula is:

[0035] P=α·Jbf+β·Hf+γ·Df

[0036] Wherein, P is the probability of snoring, Jbf is the periodicity probability factor, Hf is the harmonic-to-noise ratio probability factor, Df is the fluctuation degree probability factor, α is the periodicity weight value, β is the harmonic-to-noise ratio weight value, and γ is the fluctuation degree weight value;

[0037] The snoring audio in the environmental audio is determined according to the snoring probability and the probability threshold.

[0038] Optionally, the lifting mechanism includes at least one lifting substructure;

[0039] The sound wave emitting mechanism includes at least one sound wave emitting sub-mechanism;

[0040] Controlling the working states of the lifting mechanism and the sound wave emitting mechanism according to the snoring information includes:

[0041] When the snoring intensity information is greater than or equal to the intensity threshold, and the snoring duration is greater than or equal to the duration threshold, at least one of the lifting sub-mechanisms is controlled to be lifted to a target height, and at least one of the sound wave emitting sub-mechanisms is controlled to emit a first target sound wave; wherein the phase of the first target sound wave is related to the snoring phase information.

[0042] Optionally, the snoring information also includes snoring source information;

[0043] The lifting mechanism includes a first lifting substructure and a second lifting substructure, and the sound wave emitting mechanism includes a first sound wave emitting substructure and a second sound wave emitting substructure, wherein the first sound wave emitting substructure is arranged on the first lifting substructure, and the second sound wave emitting substructure is arranged on the second lifting substructure;

[0044] When the snoring intensity information is greater than or equal to an intensity threshold, and the snoring duration is greater than or equal to a duration threshold, controlling at least one of the lifting sub-mechanisms to be lifted to a target height, and controlling at least one of the sound wave emitting sub-mechanisms to emit a first target sound wave, including:

[0045] Determine the snoring source side and the non-snoring side according to the snoring source information;

[0046] When the snoring intensity information is greater than or equal to an intensity threshold, and the snoring duration is greater than or equal to a duration threshold, the first lifting sub-structure and the second lifting sub-structure are controlled to be lifted to a target height, and at least the sound wave emitting sub-mechanism located on the non-snoring side is controlled to emit the first target sound wave.

[0047] Optionally, after controlling at least one of the lifting substructures to be lifted to a target height and controlling at least one of the sound wave emitting substructures to emit a first target sound wave, the method further includes:

[0048] The target height is adjusted according to the real-time snoring intensity information.

[0049] Optionally, after controlling at least one of the lifting substructures to be lifted to a target height and controlling at least one of the sound wave emitting substructures to emit a first target sound wave, the method further includes:

[0050] When there is no snoring information in the ambient audio, at least one of the lifting substructures is controlled to be lowered.

[0051] Optionally, controlling the working states of the lifting mechanism and the sound wave emitting mechanism according to the snoring information includes:

[0052] When the snoring intensity information is less than an intensity threshold, and / or the snoring duration is less than a duration threshold, the sound wave emitting mechanism is controlled to emit a second target sound wave, wherein the phase of the second target sound wave is related to the snoring phase information.

[0053] Optionally, the smart bed system further comprises a pressure acquisition module; the pressure acquisition module is used to acquire pressure distribution information of the smart bed system;

[0054] The control method of the intelligent bed system further includes:

[0055] Acquiring the pressure distribution information;

[0056] Determining the offset between the sleeping position of the user and the lifting position of the lifting mechanism according to the pressure distribution information of the intelligent bed system;

[0057] The working state of the lifting mechanism is controlled according to the offset.

[0058] Optionally, controlling the working state of the lifting mechanism according to the offset includes:

[0059] When the offset is greater than or equal to an offset threshold, the lifting structure is controlled to be lifted to a target height; wherein the target height is related to the offset.

[0060] Optionally, after controlling the lifting structure to be lifted to a target height, the method further comprises:

[0061] When the time during which the offset is less than the offset threshold exceeds a preset time, the lifting structure is controlled to be lowered.

[0062] The technical solution of the present invention is to set a sound collection module, a control module, a lifting mechanism and a sound wave transmitting mechanism in the smart bed system, and set the sound collection module to be electrically connected with the control module, so that the sound collection module can collect the ambient audio of the environment in which the smart bed system is located, and transmit the ambient audio to the control module, so that the control module can identify the ambient audio and determine the snoring information in the ambient audio, and the snoring information includes snoring intensity information, snoring duration information and snoring phase information. And by setting the control module to be electrically connected with the control end of the lifting mechanism and the control end of the sound wave transmitting mechanism respectively, so that the control module determines that there is snoring in the current ambient audio, and when the snoring information meets the triggering conditions, such as the snoring duration exceeds a certain threshold, the snoring intensity is large, etc., the control module can control the lifting mechanism to rise, so as to form a physical barrier between the snorer and the other party, thereby effectively reducing the interference of the snoring of the snorer on the bed partner. At the same time, the sound wave emitting mechanism can emit sound waves with a phase opposite to that of the snoring according to the phase of the snoring detected by the control module, so that the two cancel each other out in the air, thereby reducing the spread of snoring. The smart bed system combines physical sound insulation and active noise reduction modes to significantly reduce the interference of snoring to the bed partner and improve the user's sleep quality.

[0063] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0065] Figure 1 is a structural schematic diagram of an intelligent bed system provided by Embodiment 1 of the present invention;

[0066] Figures 2 to 3 is a schematic diagram of the three-dimensional structure of an intelligent bed system provided by Embodiment 1 of the present invention at different viewing angles;

[0067] Figures 4 to 5 is a schematic diagram of the three-dimensional structure of another intelligent bed system provided by the first embodiment of the present invention at different viewing angles;

[0068] Figure 6 is a structural schematic diagram of another intelligent bed system provided by Embodiment 1 of the present invention;

[0069] Figure 7is a flow chart of a control method of an intelligent bed system provided in Embodiment 2 of the present invention;

[0070] Figure 8 is a flow chart of a control method of an intelligent bed system provided in Embodiment 3 of the present invention;

[0071] Fig. 9 is a flowchart of a method for determining snoring audio in ambient audio provided by Embodiment 3 of the present invention;

[0072] Fig.10 is a flow chart of a control method of an intelligent bed system provided in a fourth embodiment of the present invention;

[0073] Fig.11 It is a flow chart of a method for controlling the working state of a lifting sub-mechanism and a sound wave emitting sub-structure provided in a fourth embodiment of the present invention;

[0074] Fig.12 is a flow chart of a control method of an intelligent bed system provided in Embodiment 5 of the present invention;

[0075] Fig.13 is a flow chart of a control method of an intelligent bed system provided in Embodiment 6 of the present invention;

[0076] Fig.14 It is a flow chart of a control method of an intelligent bed system provided in Embodiment 7 of the present invention. DETAILED DESCRIPTION

[0077] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0078] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0079] Embodiment 1

[0080] Figure 1 1 is a schematic diagram of the structure of an intelligent bed system provided in the first embodiment of the present invention, wherein the intelligent bed system comprises a sound collection module 1, a control module 2, a lifting mechanism 3 and a sound wave transmitting mechanism 4; the sound collection module 1 is electrically connected to the control module 2, and is used to collect the ambient audio of the environment in which the intelligent bed system is located, and transmit the ambient audio to the control module 2; the control module 2 is used to identify the ambient audio, and determine the snoring information in the ambient audio; the snoring information includes snoring intensity information, snoring duration information and snoring phase information; the control module 2 is electrically connected to the control end of the lifting mechanism 3 and the control end of the sound wave transmitting mechanism 4, respectively, and is used to control the working states of the lifting mechanism 3 and the sound wave transmitting mechanism 4 according to the snoring information.

[0081] The sound collection module 1 is used to collect the ambient audio of the environment in which the smart bed system is located. The ambient audio can be specifically understood as various sound signals in the environment in which the smart bed system is located, such as the snoring sound generated by the user during sleep, the normal breathing sound of the user, the friction sound between the user and the mattress when turning over or moving the body, the ambient sound in the room, such as the running sound of electrical appliances such as air conditioners and fans, and external noise, such as the sound of vehicles outside the window, the barking of pets, or the footsteps of residents upstairs, etc. Exemplarily, the sound collection module 1 can be specifically an array composed of 8 microphones, the signal-to-noise ratio of the microphone can be greater than 70 decibels, and the sampling frequency of the microphone can be 48kHZ, so as to enhance the accuracy of the ambient audio collection.

[0082] The sound collection module 1 is electrically connected to the control module 2 so that the sound collection module 1 can transmit the collected environmental audio to the control module 2. The control module 2 is used to identify the environmental audio and determine the snoring information in the environmental audio. For example, the control module 2 may include a microcontroller chip, such as an STM32 series microcontroller chip, an ESP32 microcontroller chip, and an ATmega328P microcontroller chip, etc. The specific model can be selected according to the actual application requirements, and the present invention does not specifically limit this. Specifically, after the control module 2 receives the environmental audio transmitted by the sound collection module 1, it can first separate multiple independent audio signals from the environmental audio, and can determine whether each independent audio signal belongs to snoring by identifying the audio periodicity, audio harmonic noise ratio, and audio fluctuation degree of each independent audio signal. After determining the audio signal belonging to snoring, the control module 2 can also determine the snoring intensity information, snoring duration information, and snoring phase information of the snoring. Among them, the intensity information of snoring can be understood as the decibel of snoring detected by the microphone array; the duration information of snoring can be continuously analyzed by the control module 2 for a period of time to determine whether the snoring exists, thereby calculating the length of time the snoring exists; the phase information of snoring can be understood as the phase characteristics of snoring detected by the microphone array in time, and the phase information can be used to calculate the sound waves that are in antiphase with the snoring, so as to more effectively perform active noise reduction. The control module 2 is also electrically connected to the control end of the lifting mechanism 3 and the control end of the sound wave transmitting mechanism 4 respectively. The control module 2 lays the foundation for the subsequent control of the working state of the lifting mechanism 3 and the sound wave transmitting mechanism 4 by determining the snoring information in the ambient audio.

[0083] The lifting mechanism 3 can be specifically understood as a dynamic arc partition, which can be located on the side of the snorer and the side of the snorer's bed partner. When the control module 2 determines that there is snoring in the current ambient audio and the snoring information meets the triggering conditions, such as the snoring duration exceeds a certain threshold, the snoring intensity is large, etc., the control module 2 will control the lifting mechanism 3 to rise to form a physical barrier between the snorer and the other party, thereby effectively reducing the interference of the snoring of the snorer on the bed partner. Exemplarily, the lifting mechanism 3 can adopt a retractable carbon fiber skeleton to provide a lightweight and stable support structure for the arc partition, and ensure that the arc partition can be quickly unfolded and retracted. When the control module 2 does not identify snoring or the snoring information does not meet the triggering conditions, the arc partition can remain retracted, so as not to affect the user's normal sleeping experience, and will not affect the beauty and comfort of the smart bed system. The unfolded height of the arc partition can be 60cm, and the curvature radius of the arc partition can be 80cm, so as to effectively block the spread of snoring and improve the sound insulation effect. The arc partition can adopt a multi-layer composite sound insulation structure, and the materials from the outer layer to the inner layer are micro-perforated plates, porous sound-absorbing cotton and Helmholtz resonance chambers, which can effectively isolate high-frequency, medium-frequency and low-frequency snoring sounds, enhance the sound insulation effect of the lifting mechanism 3, and make the sound insulation of the lifting mechanism 3 greater than 35 decibels, and can reduce snoring sounds with a frequency of 500HZ by 28 decibels, thereby significantly weakening the core frequency components of snoring sounds and improving the noise reduction effect. In addition, the response time of the lifting mechanism 3 is less than 1.5s to ensure that the lifting mechanism 3 can timely soundproof the snoring sounds, and the noise of the lifting mechanism 3 is less than 30 decibels to ensure that the arc partition will not cause secondary interference to the user when it is raised or retracted, effectively improving the user's sleep quality.

[0084] It can also be understood that the lifting mechanism 3 can be controlled by a motor drive system, and the motor drive system can use a brushless DC motor with a torque of 2.5N·m and a planetary gear reducer with a reduction ratio of 15:1 to ensure that the lifting process of the lifting mechanism 3 is smooth and accurate. The drive system can also include a fault protection mechanism, that is, when it is detected that the current of the brushless DC motor exceeds the current threshold, such as 5A, the brushless DC motor can be emergency braked, and the braking time can be less than 0.3s, so as to prevent the intelligent bed system from operating abnormally, thereby improving the safety and reliability of the intelligent bed system. The lifting mechanism 3 can also include a hidden cabin structure, so that the dynamic arc partition can be completely stored in the slide rail mechanism at the bottom of the bed body of the intelligent bed system when not in use, and the storage thickness of the dynamic arc partition is only 8cm, which is flush with the bottom surface of the bed frame and does not affect the overall appearance of the bed body. Among them, the travel of the slide rail mechanism can be 60cm, and the load capacity can be 50kg to ensure the stability of the dynamic arc partition when it is deployed and retracted.

[0085] The sound wave transmitting mechanism 4 can be specifically understood as a mechanism for active noise reduction. Specifically, the sound wave transmitting mechanism 4 can be installed on the lifting mechanism 3. When the control module 2 determines that there is snoring in the current ambient audio and the snoring information meets the triggering conditions, such as the duration of snoring exceeds a certain threshold, the snoring intensity is large, etc., the control module 2 will control the sound wave transmitting mechanism 4 to emit a sound wave with a phase opposite to the snoring according to the phase of the snoring detected by the control module 2, so that the two cancel each other out in the air, thereby reducing the propagation of snoring. Exemplarily, the frequency of the sound wave emitted by the sound wave transmitting mechanism 4 can be between 50HZ and 800HZ, and the phase control accuracy of the sound wave emitted by the sound wave transmitting mechanism 4 can be around 5°, so as to ensure that the sound wave emitted by the sound wave transmitting mechanism 4 can match the frequency range of snoring, and can ensure that the noise reduction wave and snoring are accurately canceled out. The sound wave transmitting mechanism 4 can adopt the least mean square error (LMS) algorithm and set the iteration step size to 0.01 to ensure that the sound wave transmitting mechanism 4 can adjust the emitted sound waves in time so that the noise reduction sound waves emitted by the sound wave transmitting mechanism 4 can be dynamically optimized with the changes of snoring.

[0086] Optionally, the lifting mechanism 3 includes at least one lifting sub-mechanism; the sound wave emitting mechanism 4 includes at least one sound wave emitting sub-mechanism; the control module 2 is used to control at least one lifting sub-mechanism to be lifted to a target height, and control at least one sound wave emitting sub-mechanism to emit a first target sound wave when the snoring intensity is greater than or equal to an intensity threshold, and the snoring duration is greater than or equal to a duration threshold; wherein the phase of the first target sound wave is related to the snoring phase information.

[0087] Specifically, the lifting mechanism 3 may include one or more lifting sub-mechanisms, and the sound wave emitting mechanism 4 may include one or more sound wave emitting sub-mechanisms. The number of the lifting sub-mechanisms and the sound wave emitting sub-mechanisms may be determined according to actual needs, and the present invention does not specifically limit this. Figure 2 and Figure 3 As shown, the lifting mechanism 3 may include a first sub-lifting structure 31 and a second sub-lifting structure 32; the first sub-lifting structure 31 and the second sub-lifting structure 32 are symmetrically arranged relative to the intelligent bed system; the sound wave emitting mechanism 4 includes a first sound wave emitting sub-mechanism 41 and a second sound wave emitting sub-mechanism 42; the first sound wave emitting sub-mechanism 41 is arranged on the first sub-lifting structure 31, and the second sound wave emitting sub-mechanism 42 is arranged on the second sub-lifting structure 32.

[0088] After determining the snoring intensity information, snoring duration information and snoring phase information, the control module 2 will compare the snoring intensity information with the intensity threshold, and compare the snoring duration with the duration threshold. For example, the intensity threshold may be 55 decibels, and the duration threshold may be 30 seconds. That is, the control module can control at least one sub-lifting mechanism to be lifted to the target height when the snoring intensity information is greater than or equal to 55 decibels, and the snoring duration is greater than or equal to 30 seconds. Figure 2 and Figure 3 As shown, a physical barrier is formed between the snorer and the other party. The control module 2 can also control at least one sound wave emission sub-mechanism to emit a first target sound wave according to the phase information of the snoring when the intensity information of the snoring is greater than 55 decibels and the duration of the snoring is greater than 30 seconds. The first target sound wave can be specifically understood as a sound wave with a phase opposite to that of the snoring, so that the two cancel each other out in the air, thereby reducing the propagation of the snoring. The control module 2 controls the working state of at least one sub-lifting mechanism and at least one sound wave emission sub-mechanism when the intensity of the snoring is greater than or equal to the threshold and the duration of the snoring is greater than or equal to the duration threshold, thereby achieving a significant reduction in the interference of snoring to the bed partner by combining the two modes of physical sound insulation and active noise reduction, improving the user's sleep quality, reducing equipment loss, avoiding unnecessary intervention, and improving the user's comfort.

[0089] Optionally, the snoring information also includes snoring source information; the control module 2 is also used to determine the snoring source side and the non-snoring side according to the snoring source information; the lifting mechanism 3 includes a first lifting substructure 31 and a second lifting substructure 32, and the sound wave emitting mechanism 4 includes a first sound wave emitting substructure 41 and a second sound wave emitting substructure 42, the first sound wave emitting substructure 41 is arranged on the first lifting substructure 31, and the second sound wave emitting substructure 42 is arranged on the second lifting substructure 32; the control module 2 is used to control the first lifting substructure and the second lifting substructure to be lifted to the target height when the snoring intensity is greater than or equal to the intensity threshold, and the snoring duration is greater than or equal to the duration threshold, and at least control the sound wave emitting substructure located on the non-snoring side to emit the first target sound wave.

[0090] like Figure 4 and Figure 5 As shown, the lifting mechanism 3 may include a first sub-lifting structure 31 and a second sub-lifting structure 32; the first sub-lifting structure 31 and the second sub-lifting structure 32 are symmetrically arranged relative to the intelligent bed system; the sound wave emitting mechanism 4 includes a first sound wave emitting sub-mechanism 41 and a second sound wave emitting sub-mechanism 42; the first sound wave emitting sub-mechanism 41 is arranged on the first sub-lifting structure 31, and the second sound wave emitting sub-mechanism 42 is arranged on the second sub-lifting structure 32.

[0091] Specifically, after determining the snoring intensity information, snoring duration information and snoring phase information, the control module 2 will compare the snoring intensity information with the intensity threshold, and compare the snoring duration with the duration threshold. For example, the intensity threshold may be 55 decibels, and the duration threshold may be 30 seconds. That is, the control module can control the first sub-lifting structure 31 and the second sub-lifting structure 32 to be lifted to the target height when the snoring intensity information is greater than or equal to 55 decibels, and the snoring duration is greater than or equal to 30 seconds. Figure 4 and Figure 5 As shown, the first sub-lifting structure 31 and the second sub-lifting structure 32 can be located on the snorer's side and the snorer's bed partner's side, respectively, so that the lifting mechanism located on the snorer's side can form a physical isolation barrier at the source of the snoring sound, effectively reducing the spread of snoring sound toward the partner. At the same time, the lifting mechanism located on the snorer's bed partner's side can form an additional physical barrier around the partner, further reducing the disturbance of snoring sound and making the partner's sleeping environment quieter.

[0092] At the same time, when the control module 2 determines that the intensity of the snoring sound is greater than or equal to the intensity threshold and the duration of the snoring sound is greater than or equal to the duration threshold, the control module 2 can also determine the source position of the snoring sound according to the time difference of each microphone in the microphone array in the sound collection module receiving the snoring sound, so as to be able to infer that the snoring sound comes from the left or right user, that is, to determine the snoring sound source side and the side without snoring sound. Therefore, when the intensity information of the snoring sound is greater than 55 decibels and the duration of the snoring sound is greater than 30s, the control module 2 can also control the sound wave emission sub-mechanism on the lifting sub-mechanism on the bed partner side of the snorer to emit noise reduction waves according to the source information of the snoring sound, and the directivity range of the noise reduction waves can be ±15°, so as to ensure that the noise reduction waves can be accurately focused on the ear area on the bed partner side of the snoring sound, thereby effectively reducing the interference of the snoring sound of the snoring sound on the bed partner. The noise reduction wave emitted by the sound wave emission mechanism 4 can have a decibel cancellation efficiency of greater than 12 decibels on the snoring sound, thereby effectively reducing the volume of the snoring sound. The control module 2 controls the working states of the lifting mechanism 3 and the sound wave emitting mechanism 4 by controlling the snoring information in a targeted manner according to the snoring source side and the non-snoring side, thereby combining the two modes of physical sound insulation and active noise reduction to significantly reduce the interference of snoring to the bed partner and improve the user's sleep quality.

[0093] Optional, Figure 6 is a schematic diagram of the structure of another intelligent bed system provided in the first embodiment of the present invention. Figure 6As shown, the smart bed system also includes: a pressure acquisition module 5; the pressure acquisition module 5 is electrically connected to the control module 2, and is used to obtain the pressure distribution information of the smart bed system, and transmit the pressure distribution information to the control module 2; the control module 2 is also used to determine the offset between the user's sleeping position and the lifting position of the lifting mechanism 3 according to the pressure distribution information, and control the working state of the lifting mechanism according to the offset.

[0094] Among them, the pressure acquisition module 5 is used to obtain the pressure distribution information of the smart bed system, and the pressure distribution information can be specifically understood as the pressure distribution information on the mattress surface in the smart bed system when the user is sleeping. Exemplarily, the pressure acquisition module 5 can be specifically a piezoelectric film sensor array evenly distributed on the mattress surface in the smart bed system, and the resolution of each piezoelectric film sensor can be 5cm×5cm. Each piezoelectric film sensor can update the pressure distribution information every 0.5s, so as to be able to monitor the pressure distribution information on the mattress surface in real time, so as to determine the current sleeping position of the user. At the same time, the pressure acquisition module 5 is electrically connected to the control module 2, so that the pressure acquisition module 5 can transmit the pressure distribution information to the control module 2, so that the control module 2 can determine the offset between the user's sleeping position and the lifting position of the lifting mechanism 3 according to the user's current sleeping position, wherein the lifting position of the lifting mechanism 3 can be specifically understood as the fixed lifting area of ​​the dynamic arc partition in the smart bed system, and the position can be determined according to actual needs, and the present invention does not make specific limitations on this. When the offset is less than the offset threshold, the control module 2 will control the lifting mechanism 3 to remain in the storage state, thereby preventing the lifting process of the lifting mechanism 3 from affecting the user's sleep; when the offset is greater than or equal to the offset threshold, the control module 2 will control the lifting mechanism 3 to rise, thereby ensuring the noise reduction effect while not affecting the user's sleep, thereby improving the user's sleep quality.

[0095] In this embodiment, a sound collection module, a control module, a lifting mechanism and a sound wave transmitting mechanism are arranged in the smart bed system, and the sound collection module is electrically connected to the control module, so that the sound collection module can collect the ambient audio of the environment in which the smart bed system is located, and transmit the ambient audio to the control module, so that the control module can identify the ambient audio and determine the snoring information in the ambient audio, and the snoring information includes snoring intensity information, snoring duration information and snoring phase information. And by arranging the control module to be electrically connected to the control end of the lifting mechanism and the control end of the sound wave transmitting mechanism respectively, so that the control module determines that there is snoring in the current ambient audio, and when the snoring information meets the triggering conditions, such as the snoring duration exceeds a certain threshold, the snoring intensity is large, etc., the control module can control the lifting mechanism to rise, so as to form a physical barrier between the snorer and the other party, thereby effectively reducing the interference of the snoring of the snorer on the bed partner. At the same time, the sound wave emitting mechanism can emit sound waves with a phase opposite to that of the snoring according to the phase of the snoring detected by the control module, so that the two cancel each other out in the air, thereby reducing the spread of snoring. The smart bed system combines physical sound insulation and active noise reduction modes to significantly reduce the interference of snoring to the bed partner and improve the user's sleep quality.

[0096] Embodiment 2

[0097] Figure 7 is a flow chart of a control method of a smart bed system provided by the second embodiment of the present invention. This embodiment can be used to control the smart bed system of the above embodiment. The method can be executed by a control device of the smart bed system. The device can be implemented by software and / or hardware and can generally be integrated into the control module of the smart bed system. Figure 7 As shown, the control method of the intelligent bed system may include:

[0098] S101, receiving and identifying the ambient audio of the environment in which the smart bed system is located, and determining snoring information in the ambient audio.

[0099] The snoring information includes snoring intensity information, snoring duration information and snoring phase information.

[0100] Among them, the environmental audio can be specifically understood as various sound signals in the environment where the smart bed system is located, such as the snoring sound generated by the user during sleep, the normal breathing sound of the user, the friction sound between the user and the mattress when turning over or moving the body, the environmental sound in the room, such as the running sound of electrical appliances such as air conditioners and fans, and external noise, such as the sound of vehicles outside the window, the barking of pets, or the footsteps of residents upstairs. Specifically, after the control module of the smart bed system receives the environmental audio collected by the sound collection module of the smart bed system, it can first separate multiple independent audio signals from the environmental audio, and can determine whether each independent audio signal belongs to snoring by identifying the audio periodicity, audio harmonic-to-noise ratio, and audio fluctuation degree of each independent audio signal. After determining the audio signal belonging to snoring, the control module can also determine at least one of the intensity information and duration of the snoring. Among them, the intensity information of snoring can be understood as the decibel of snoring detected by the sound collection module; the duration of snoring can be analyzed by the control module for a period of time to continuously analyze whether the snoring exists, so as to calculate the length of time the snoring exists; the phase information of snoring can be understood as the phase characteristics of snoring detected by the microphone array in time, and the phase information can be used to calculate the sound waves that are in antiphase with the snoring, so as to perform active noise reduction more effectively. By determining the snoring information in the ambient audio, the control module lays the foundation for the subsequent control of the working state of the lifting mechanism and the sound wave transmitting mechanism.

[0101] S102: Controlling the working states of the lifting mechanism and the sound wave emitting mechanism according to the snoring information.

[0102] Among them, the lifting mechanism can be specifically understood as a dynamic arc partition, which can be located on the side of the snorer and the side of the snorer's bed partner respectively. Specifically, when the control module determines that there is snoring in the current ambient audio and the snoring information meets the trigger conditions, such as the snoring duration exceeds a certain threshold, the snoring intensity is large, etc., the control module will control the lifting mechanism to rise to form a physical barrier between the snorer and the other party, thereby effectively reducing the interference of the snoring of the snorer on the bed partner. When the control module does not identify snoring or the snoring information does not meet the trigger conditions, the arc partition can remain retracted, so as not to affect the user's normal sleep experience, and will not affect the aesthetics and comfort of the smart bed system.

[0103] The sound wave transmitting mechanism can be specifically understood as a mechanism for active noise reduction. Specifically, the sound wave transmitting mechanism can be installed on the lifting mechanism. When the control module determines that there is snoring in the current ambient audio and the snoring information meets the triggering conditions, such as the duration of the snoring exceeds a certain threshold, the snoring intensity is large, etc., the control module will control the sound wave transmitting mechanism to emit a sound wave with a phase opposite to the snoring according to the phase of the snoring detected by the control module, so that the two cancel each other out in the air, thereby reducing the spread of snoring. The control module controls the working state of the lifting mechanism and the sound wave transmitting mechanism according to the snoring information, and realizes the combination of physical sound insulation and active noise reduction to significantly reduce the interference of snoring to the bed partner and improve the user's sleep quality.

[0104] In this embodiment, the control module in the smart bed system receives and identifies the ambient audio of the environment in which the smart bed system is located, and determines the snoring information in the ambient audio, so that the control module can control the lifting mechanism to rise when it is determined that there is snoring in the current ambient audio and the snoring information meets the trigger conditions, so as to form a physical barrier between the snorer and the other party, thereby effectively reducing the interference of the snoring of the snorer on the bed partner. At the same time, when the control module is determined that there is snoring in the current ambient audio and the snoring information meets the trigger conditions, the control module will control the sound wave emission mechanism to emit a sound wave with a phase opposite to the snoring according to the phase of the snoring detected by the control module, so that the two cancel each other out in the air, thereby reducing the spread of snoring. The control module controls the working state of the lifting mechanism and the sound wave emission mechanism according to the snoring information, and realizes the combination of physical sound insulation and active noise reduction to significantly reduce the interference of snoring on the bed partner, thereby improving the sleep quality of the user.

[0105] Embodiment 3

[0106] Figure 8 is a flow chart of a control method of a smart bed system provided by Embodiment 3 of the present invention. Based on the above embodiments, this embodiment describes in detail a method for determining snoring information in ambient audio. Figure 8 As shown, the control method of the smart bed system of this embodiment may include:

[0107] S201, receiving ambient audio of the environment in which the smart bed system is located.

[0108] S202: Identify audio features of each sub-audio in the ambient audio.

[0109] Specifically, after the control module of the smart bed system receives the ambient audio collected by the sound collection module of the smart bed system, it can first enhance the sound information in different directions through beamforming technology, such as optimal weight filtering, spatial filtering, etc., so as to achieve preliminary distinction of different sound sources. Afterwards, the ambient audio can be decomposed based on blind source separation (BSS) algorithms, such as independent component analysis (ICA), non-negative matrix factorization (NMF), etc., to separate each independent sound source signal into different sub-audio, which lays the foundation for the subsequent determination of whether each sub-audio is snoring, and improves the accuracy and robustness of snoring extraction.

[0110] After decomposing the ambient audio into multiple sub-audios, the control module can use time-frequency analysis or statistical analysis to identify the audio features of each sub-audio. Optionally, the audio features may include audio periodicity, audio harmonic-to-noise ratio (HNR) and audio fluctuation degree. First, the control module can calculate the periodic features of each sub-audio through short-time Fourier transform (STFT) or autocorrelation analysis to determine whether it conforms to the regular pattern of snoring. Secondly, the control module can use harmonic-to-noise ratio analysis to calculate the energy ratio of harmonic components to non-harmonic components in each sub-audio signal. Snoring is caused by the vibration of upper airway tissue, which usually forms a relatively stable harmonic structure with a high harmonic-to-noise ratio value, while ambient noise is usually a non-periodic or random signal with a low harmonic-to-noise ratio value. In addition, the control module can evaluate the fluctuation degree of each sub-audio signal, that is, the change of amplitude and frequency, through envelope analysis, spectral entropy and other methods to distinguish snoring from other stable or transient sound signals, such as speaking or sudden noise. By identifying the audio features of each sub-audio to determine whether each sub-audio is snoring, the accuracy and robustness of snoring recognition are improved.

[0111] S203: Determine the snoring audio in the ambient audio according to the audio features and feature thresholds of each sub-audio.

[0112] Specifically, after determining the audio features of each sub-audio, the control module can compare the audio features of each sub-audio with the snoring feature threshold corresponding to the feature to determine whether the sub-audio is snoring, thereby determining whether there is snoring audio in the ambient audio.

[0113] Optionally, the characteristic thresholds include a periodicity threshold, a harmonic-to-noise ratio threshold, a minimum fluctuation threshold, and a maximum fluctuation threshold; Fig. 9As shown, the snoring audio in the ambient audio is determined according to the audio features and feature thresholds of each sub-audio, including:

[0114] S2031. Determine a periodicity probability factor according to a corresponding relationship between the audio periodicity of each sub-audio and a periodicity threshold.

[0115] Among them, the audio periodicity can be specifically understood as the ratio of the average value of the time difference between adjacent cycles to the average time of the total cycle. When the ratio is large, it means that the audio periodicity is strong. Specifically, the intelligent bed system determines the periodicity probability factor by comparing the audio periodicity of each sub-audio with the periodicity threshold. First, the control module can calculate the periodicity of the sub-audio by autocorrelation analysis or short-time Fourier transform. Snoring usually has a relatively stable periodicity, and its period is usually between 0.1s and 0.5s, while the periodicity of random noise is weak or unstable. Therefore, by setting the periodicity threshold, it is possible to distinguish between snoring with strong periodicity and random noise. When the audio periodicity is greater than or equal to the periodicity threshold, it is considered that the sub-audio has a strong periodicity, and the periodicity probability factor is set to 1; when the audio periodicity is less than the periodicity threshold, it is considered that the sub-audio has a weak periodicity, and the periodicity probability factor is set to 0. By comparing the size of the audio periodicity and the periodicity threshold, the snoring signal with strong periodicity can be effectively screened out, avoiding the misjudgment of environmental noise as snoring, and improving the accuracy of snoring detection. At the same time, through the rapid calculation of the periodic probability factor, the computational burden of subsequent in-depth analysis is reduced, and the real-time processing capability of the system is improved. In addition, the periodic threshold can be dynamically adjusted according to the user's snoring characteristics, so that the smart bed system can adapt to the snoring patterns of different users, thereby more effectively improving the user's sleep experience.

[0116] S2032: Determine a harmonic-to-noise ratio probability factor according to a corresponding relationship between the audio harmonic-to-noise ratio of each sub-audio and a harmonic-to-noise ratio threshold.

[0117] The calculation formula of the audio harmonic-to-noise ratio (HNR) may be specifically:

[0118]

[0119] Specifically, the smart bed system can also determine the harmonic noise ratio probability factor by comparing the harmonic noise ratio of each sub-audio with the harmonic noise ratio threshold. First, the control module can calculate the harmonic noise ratio of each sub-audio using autocorrelation analysis, time-frequency analysis or a method based on linear predictive coding to measure the energy ratio of the harmonic component to the noise component in each sub-audio. Usually, snoring has a strong harmonic structure, while random noise, such as wind sound, collision sound and other harmonic components are weak. Therefore, by setting a harmonic noise ratio threshold, such as 5dB, snoring and noise can be distinguished. When the harmonic noise ratio of the sub-audio is greater than or equal to the harmonic noise ratio threshold, it is considered that the harmonic component in the sub-audio is strong, and the harmonic noise ratio probability factor is set to 1. When the harmonic noise ratio of the sub-audio is less than the harmonic noise ratio threshold, it is considered that the harmonic component in the sub-audio is weak, and the harmonic noise ratio probability factor is set to 0. By comparing the size of the audio harmonic noise ratio and the harmonic noise ratio threshold, snoring signals with strong harmonic components can be effectively screened out, avoiding misjudging irregular noise as snoring, and improving the accuracy of snoring detection. At the same time, through the rapid calculation of the harmonic-to-noise ratio probability factor, the computational complexity of subsequent in-depth analysis is reduced, and the real-time response capability of the smart bed system is improved. In addition, the harmonic-to-noise ratio threshold can be dynamically adjusted according to the user's snoring characteristics, so that the smart bed system can adapt to different snoring patterns, thereby more effectively improving the user's sleep experience.

[0120] S2033: Determine a fluctuation degree probability factor according to the corresponding relationship between the audio fluctuation degree of each sub-audio and the minimum fluctuation degree threshold and the maximum fluctuation degree threshold.

[0121] Specifically, the smart bed system can calculate the degree of fluctuation of each sub-audio by the Mel-Frequency Cepstral Coefficients (MFCC) method, and compare it with the set fluctuation degree threshold to determine the fluctuation degree probability factor. MFCC is a method for audio feature extraction, which can effectively characterize the spectral characteristics of audio signals, and the third-order difference of MFCC can further capture the dynamic change pattern of audio signals in the time dimension, so as to reflect the short-term fluctuation characteristics of audio, such as the intensity change trend of audio, frequency jitter and harmonic stability. The control module of the smart bed system first calculates the MFCC features of each sub-audio, and then calculates the first-order, second-order and third-order differences of MFCC in turn to obtain the dynamic change pattern of each sub-audio. Then, by setting the minimum and maximum thresholds of the fluctuation degree, the calculated third-order difference of MFCC is judged. If the audio fluctuation degree is within a reasonable range, that is, the audio fluctuation degree is greater than or equal to the minimum fluctuation degree threshold and less than or equal to the maximum fluctuation degree threshold, then the sub-audio fluctuation feature is considered to be consistent with the snoring pattern, and the fluctuation degree probability factor is set to 1; if the audio fluctuation degree is not within a reasonable range, that is, the audio fluctuation degree is less than the minimum fluctuation degree threshold, or the audio fluctuation degree is greater than the maximum fluctuation degree threshold, then the sub-audio fluctuation feature is considered to be inconsistent with the snoring pattern, and the fluctuation degree probability factor is set to 0. By comparing the audio fluctuation degree with the minimum fluctuation degree threshold and the maximum fluctuation degree threshold, the sub-audio whose fluctuation characteristics are consistent with the snoring pattern can be effectively screened out, avoiding sudden random noise or other non-snoring signals from being misjudged as snoring, and improving the accuracy of snoring detection. At the same time, through the rapid calculation of the fluctuation degree probability factor, the computational complexity of subsequent in-depth analysis is reduced, and the real-time response capability of the smart bed system is improved. In addition, the fluctuation degree probability factor can be dynamically adjusted according to the user's snoring characteristics, so that the smart bed system can adapt to different snoring patterns, thereby more effectively improving the user's sleep experience.

[0122] S2034: Determine the probability of snoring in the ambient audio according to the periodic probability factor, the harmonic noise ratio probability factor, and the fluctuation degree probability factor of each sub-audio based on the first calculation formula.

[0123] Among them, the first calculation formula is:

[0124] P=α·Jbf+β·Hf+γ·Df

[0125] Among them, P is the probability of snoring, Jbf is the periodicity probability factor, Hf is the harmonic-to-noise ratio probability factor, Df is the fluctuation degree probability factor, α is the periodicity weight value, β is the harmonic-to-noise ratio weight value, and γ is the fluctuation degree weight value.

[0126] Among them, P is the probability of snoring, indicating the possibility that the sub-audio belongs to snoring; Jbf is the periodicity probability factor, indicating whether the periodicity of the sub-audio meets the snoring characteristics; Hf is the harmonic-to-noise ratio probability factor, indicating whether the harmonic component of the sub-audio meets the snoring characteristics; Df is the fluctuation degree probability factor, indicating whether the dynamic change of the sub-audio meets the snoring characteristics, α, β and γ are weight parameters used to balance the influence of different characteristics on the probability of snoring, and α+β+γ=1. Specifically, after determining the periodicity probability factor, harmonic-to-noise ratio probability factor and fluctuation degree probability factor of each sub-audio, the snoring probability of each sub-audio is calculated based on the first calculation formula through a weighted linear model. This calculation method combines the three key audio features of periodicity, harmonic-to-noise ratio and fluctuation degree, and can more accurately distinguish snoring from environmental noise, thereby improving the reliability of snoring detection. It is understandable that, since snoring usually has strong periodicity and harmonic characteristics, the weights of α and β are relatively high, for example, α = 0.4, β = 0.4, while the impact of the degree of fluctuation is relatively small and will be affected by individual physiological differences, so the weight of γ is relatively low, for example, γ = 0.2. This algorithm is not only simple and efficient in calculation, meeting the real-time processing requirements of the smart bed system, but also effectively reduces misjudgment and improves the accuracy of snoring recognition by comprehensively judging multiple features, thereby providing a reliable basis for the noise reduction decision of the smart bed system and further optimizing the user's sleep experience.

[0127] S2035: Determine the snoring audio in the ambient audio according to the snoring probability and the probability threshold.

[0128] Specifically, the control module of the smart bed system compares the calculated snoring probability P with the preset probability threshold to ultimately determine whether there is snoring in the ambient audio. Specifically, when the snoring probability P of the sub-audio is greater than or equal to the probability threshold, the control module considers that the sub-audio has snoring characteristics, determines it as snoring, and further confirms the presence of snoring in the ambient audio. If the snoring probability P of the sub-audio is less than the probability threshold, it is considered that the sub-audio does not meet the snoring characteristics, and the control module will continue to analyze other sub-audios. This probability-based judgment method comprehensively considers the three key audio features of periodicity, harmonic-to-noise ratio, and degree of fluctuation, avoids misjudgment due to differences in individual features, and thus improves the accuracy of snoring recognition. Ensure that the smart bed system can perform noise reduction intervention when correctly identifying snoring, thereby more effectively optimizing the user's sleep experience.

[0129] S204: Determine snoring information according to the snoring audio.

[0130] Specifically, when the control module determines that the sub-audio is snoring according to the snoring probability of the sub-audio, the control module will determine the information of the sub-audio to determine the snoring information of the snoring. Among them, the snoring information includes snoring intensity information, snoring duration information and snoring phase information. The intensity information of snoring can be understood as the decibel of the sub-audio detected by the sound collection module; the duration of snoring can be analyzed by the control module for a period of time to continuously analyze whether the sub-audio exists, thereby calculating the length of time the sub-audio exists; the snoring phase information can be understood as the phase characteristics of snoring detected by the microphone array in time, and the phase information can be used to calculate the sound waves that are in antiphase with the snoring, so as to more effectively perform active noise reduction. By determining the snoring information in the ambient audio, the control module lays the foundation for the subsequent control of the working state of the lifting mechanism and the sound wave transmitting mechanism, thereby improving the accuracy of the smart bed system to more effectively optimize the user's sleep experience.

[0131] S205: Control the working states of the lifting mechanism and the sound wave emitting mechanism according to the snoring information.

[0132] In this embodiment, by receiving and identifying the ambient audio of the environment in which the smart bed system is located, it is determined whether there is snoring in the ambient audio, so that snoring can be effectively distinguished from other sounds in the environment, thereby reducing the misjudgment rate in the smart bed system and improving the accuracy of the smart bed system. By separating the ambient audio of the environment in which the smart bed system is located into multiple sub-audios and identifying the audio features of each sub-audio, by comprehensively considering the three key audio features of the periodicity, harmonic noise ratio and fluctuation degree of each sub-audio, it is determined whether each sub-audio is snoring, so that snoring can be more accurately distinguished from ambient noise, thereby improving the reliability of snoring detection. In addition, when snoring exists in the ambient audio, the snoring information of the snoring is determined, which lays the foundation for the subsequent control of the working state of the lifting mechanism and the sound wave transmitting mechanism, thereby improving the accuracy of the smart bed system and more effectively optimizing the user's sleep experience.

[0133] Embodiment 4

[0134] Fig.10 is a flow chart of a control method of an intelligent bed system provided by a fourth embodiment of the present invention. Based on the above embodiments, this embodiment describes in detail the method for controlling the working state of the lifting mechanism and the sound wave transmitting mechanism. Fig.10 As shown, the control method of the smart bed system of this embodiment may include:

[0135] S301, receiving and identifying the ambient audio of the environment in which the smart bed system is located, and determining the snoring information in the ambient audio.

[0136] S302: When the snoring intensity information is greater than or equal to the intensity threshold, and the snoring duration is greater than or equal to the duration threshold, control at least one lifting sub-mechanism to lift to a target height, and control at least one sound wave emitting sub-mechanism to emit a first target sound wave.

[0137] The phase of the first target sound wave is related to the snoring phase information.

[0138] Specifically, after determining the snoring intensity information, snoring duration information and snoring phase information, the control module will compare the snoring intensity information with the intensity threshold, and compare the snoring duration with the duration threshold. For example, the intensity threshold may be 55 decibels, and the duration threshold may be 30 seconds. That is, the control module can control at least one sub-lifting mechanism to rise to the target height to form a physical barrier between the snorer and the other party when the snoring intensity information is greater than 55 decibels and the snoring duration is greater than 30 seconds. The control module can also control at least one sound wave emission sub-mechanism to emit a first target sound wave according to the snoring phase information when the snoring intensity information is greater than 55 decibels and the snoring duration is greater than 30 seconds. The first target sound wave can be specifically understood as a sound wave with an opposite phase to the snoring, so that the two cancel each other out in the air, thereby reducing the spread of snoring. The control module 2 controls the working state of at least one sub-lifting mechanism and at least one sound wave emitting sub-mechanism when the intensity of snoring is greater than or equal to a threshold and the duration of snoring is greater than or equal to a duration threshold, thereby achieving a significant reduction in the interference of snoring to the bed partner by combining the two modes of physical sound insulation and active noise reduction, improving the user's sleep quality, reducing equipment loss, avoiding unnecessary intervention, and improving the user's comfort.

[0139] Optional, such as Fig.11 As shown, when the snoring intensity information is greater than or equal to the intensity threshold, and the snoring duration is greater than or equal to the duration threshold, at least one lifting sub-mechanism is controlled to be lifted to a target height, and at least one sound wave emitting sub-mechanism is controlled to emit a first target sound wave, including:

[0140] S3021. Determine the snoring source side and the non-snoring side according to the snoring source information.

[0141] Specifically, based on the time difference between each microphone in the microphone array in the sound collection module receiving the snoring sound, the control module can determine the source position of the snoring sound, so as to infer that the snoring sound comes from the left or right user, that is, determine the snoring source side and the side without snoring, laying the foundation for the subsequent corresponding control of the working state of the sound emitting mechanism.

[0142] S3022: When the snoring intensity information is greater than or equal to the intensity threshold, and the snoring duration is greater than or equal to the duration threshold, control the first lifting sub-structure and the second lifting sub-structure to be lifted to the target height, and at least control the sound wave emitting sub-mechanism located on the non-snoring side to emit the first target sound wave.

[0143] Specifically, after determining the snoring intensity information, snoring duration information and snoring phase information, the control module will compare the snoring intensity information with the intensity threshold, and compare the snoring duration with the duration threshold. For example, the intensity threshold may be 55 decibels, and the duration threshold may be 30 seconds. That is, when the snoring intensity information is greater than or equal to 55 decibels, and the snoring duration is greater than or equal to 30 seconds, the control module can control the first sub-lifting structure and the second sub-lifting structure to be lifted to the target height, wherein the first sub-lifting structure and the second sub-lifting structure can be located on the side of the snorer and the side of the snorer's bed partner, respectively, so that the lifting mechanism located on the side of the snorer can form a physical isolation barrier at the source of the snoring, effectively reducing the spread of snoring to the partner, and at the same time, the lifting mechanism located on the side of the snorer's bed partner can form an additional physical barrier around the partner, further reducing the interference of snoring and making the partner's sleeping environment quieter.

[0144] At the same time, when the intensity information of snoring is greater than 55 decibels and the duration of snoring is greater than 30 seconds, the control module can also control the sound wave emission sub-mechanism on the lifting sub-mechanism on the snorer's bed partner's side to emit noise reduction waves according to the source information of the snoring, so as to ensure that the noise reduction waves can be accurately focused on the ear area on the snorer's bed partner's side, thereby effectively reducing the interference of the snoring of the snorer on the bed partner. The control module controls the working state of the lifting mechanism and the sound wave emission mechanism by controlling the snoring information in a targeted manner according to the snoring source side and the non-snoring side, thereby realizing the combination of physical sound insulation and active noise reduction modes to significantly reduce the interference of snoring on the bed partner and improve the user's sleep quality.

[0145] Optionally, after controlling at least one lifting substructure to be lifted to a target height and controlling at least one sound wave emitting substructure to emit a first target sound wave, the method further includes: adjusting the target height according to real-time snoring intensity information.

[0146] Specifically, after the control module controls at least one lifting substructure to be lifted to the target height and controls at least one sound wave emission substructure to emit the first target sound wave, it can also adjust the target height of the lifting mechanism in real time according to the intensity of the snoring in the received ambient audio. In addition, the target height is proportional to the intensity of the snoring, that is, the greater the intensity of the snoring, the higher the lifting mechanism will be lifted. This dynamic adjustment mechanism can accurately match the noise reduction requirements. When the snoring intensity is large, the control module controls the lifting mechanism to rise to enhance the physical sound insulation effect, and when the snoring intensity is small, the control module controls the lifting amplitude of the lifting system to be small to avoid excessive intervention, thereby ensuring the noise reduction effect while reducing user discomfort. Make the smart bed system more adaptable and personalized, and can automatically optimize the noise reduction strategy according to the snoring characteristics of different users, so as to more effectively improve the user's sleep quality. Exemplarily, the dynamic adjustment of the target height can be achieved by a proportional-integral-derivative (PID) control algorithm, and the specific parameters can be set as a proportional coefficient Kp=0.8, an integral coefficient Ki=0.05, and a differential coefficient Kd=0.1. PID control can adjust the target height of the lifting mechanism in real time so that it is proportional to the intensity of snoring, thereby improving the accuracy of the smart bed system.

[0147] Optionally, after controlling at least one lifting substructure to rise to a target height and controlling at least one sound wave emitting substructure to emit a first target sound wave, the method further includes: when no snoring information exists in the ambient audio, controlling at least one lifting substructure to descend.

[0148] Specifically, after the control module controls at least one lifting substructure to rise to the target height, and controls at least one sound wave emitting substructure to emit the first target sound wave, the control module will continue to receive and identify the ambient audio of the environment in which the smart bed system is located, and determine whether snoring still exists in the ambient audio. When the control module determines that there is no snoring in the ambient audio, at least one lifting substructure will be lowered. This ensures that the noise reduction intervention of the smart bed system is only carried out when necessary, and that the system is restored to its original state in a timely manner after the snoring disappears, thereby preventing the lifting mechanism from remaining in the raised state for a long time, affecting the user experience, and improving the intelligence level of the smart bed system. In addition, it can also reduce the energy consumption of the smart bed system and improve the endurance of the smart bed system.

[0149] In this embodiment, when the intensity of snoring is greater than or equal to the intensity threshold and the duration of snoring is greater than or equal to the duration threshold, at least one lifting sub-structure is lifted to the target height, and at least one sound wave emitting sub-structure is controlled to emit the first target sound wave, thereby achieving a significant reduction in the interference of snoring to the bed partner by combining the two modes of physical sound insulation and active noise reduction, improving the user's sleep quality, reducing equipment loss, avoiding unnecessary intervention, and improving the user's comfort. At the same time, by determining the snoring source side and the non-snoring side according to the source location of the snoring, and controlling the first lifting sub-structure and the second lifting sub-structure to lift to the target height, and at least controlling the second sound wave emitting sub-structure located on the non-snoring side to emit the first target sound wave, it is ensured that the noise reduction wave can be accurately focused on the ear area of ​​the snorer's bed partner side, thereby effectively reducing the interference of the snoring of the snorer on the bed partner. In addition, by adjusting the target height according to the intensity information of snoring, the smart bed system becomes more adaptable and personalized, and can automatically optimize the noise reduction strategy according to the snoring characteristics of different users to more effectively improve the user's sleep quality; by controlling at least one lifting substructure to be lowered when there is no snoring in the ambient audio to reduce the energy consumption of the smart bed system, the endurance of the smart bed system is improved.

[0150] Embodiment 5

[0151] Fig.12 is a flow chart of a control method of an intelligent bed system provided by Embodiment 5 of the present invention. Based on the above embodiments, this embodiment describes in detail the method for controlling the working state of the lifting mechanism and the sound wave transmitting mechanism. Fig.12 As shown, the control method of the smart bed system of this embodiment may include:

[0152] S401, receiving and identifying the ambient audio of the environment in which the smart bed system is located, and determining the snoring information in the ambient audio.

[0153] S402: When the intensity information of the snoring sound is less than the intensity threshold, and / or the duration of the snoring sound is less than the duration threshold, control the sound wave emitting mechanism to emit a second target sound wave.

[0154] The phase of the second target sound wave is related to the snoring phase information.

[0155] Specifically, after determining the snoring intensity information, snoring duration information and snoring phase information, the control module will compare the snoring intensity information with the intensity threshold, and compare the snoring duration with the duration threshold. For example, the intensity threshold can be 55 decibels, and the duration threshold can be 30 seconds. That is, when the snoring intensity information is less than 55 decibels, or the snoring duration is less than 30 seconds, the control module can only control the sound wave emission mechanism to emit a second target sound wave for noise reduction without starting the lifting mechanism. Among them, the second target sound wave can be specifically understood as a sound wave with an opposite phase to the snoring, and the second target sound wave can be the same as the first target sound wave, or it can be different from the first target sound wave. The embodiment of the present invention does not make specific restrictions on this. Thereby, the smart bed system can accurately match the snoring characteristics. For small sound levels or short snoring, only active noise reduction can be used to achieve effective noise reduction effects without physical isolation, so as to avoid unnecessary mechanical movements and reduce the energy consumption of the smart bed system. In addition, when the snoring is small or lasts for a short time, frequently controlling the lifting mechanism to lift and lower may affect the user's sleeping experience. Using only the sound wave emitting mechanism for noise reduction can reduce interference to the user, thereby improving the user's sleeping comfort.

[0156] In this embodiment, when the intensity information of snoring is less than the intensity threshold and / or the duration of snoring is less than the duration threshold, the sound wave emission mechanism is controlled to emit the target sound wave for noise reduction without starting the lifting mechanism, so that the smart bed system can accurately match the snoring characteristics. For snoring with a relatively low sound level or short duration, only active noise reduction can be used to achieve effective noise reduction effect without physical isolation, so as to avoid unnecessary mechanical movements and reduce the energy consumption of the smart bed system. In addition, the influence of frequent control of the lifting mechanism for lifting and lowering on the user's sleeping experience is avoided, and the user's sleeping comfort is improved.

[0157] Embodiment 6

[0158] Fig.13 is a flow chart of a control method of a smart bed system provided by Embodiment 6 of the present invention. This embodiment supplements the control method of the smart bed system on the basis of the above embodiments. Accordingly, Fig.13 As shown, the control method of the smart bed system of this embodiment may include:

[0159] S501, receiving and identifying the ambient audio of the environment in which the smart bed system is located, and determining the snoring information in the ambient audio.

[0160] S502: Control the working states of the lifting mechanism and the sound wave emitting mechanism according to the snoring information.

[0161] S503: Obtain pressure distribution information.

[0162] The pressure distribution information can be specifically understood as the pressure distribution information on the mattress surface in the smart bed system when the user is sleeping. Specifically, the control module of the smart bed system can receive the pressure distribution information on the mattress surface detected by the pressure acquisition module in real time, which lays the foundation for the subsequent control module to control the working state of the lifting mechanism according to the pressure distribution information.

[0163] S504. Determine the offset between the user's sleeping position and the lifting position of the lifting mechanism according to the pressure distribution information of the smart bed system.

[0164] Specifically, after the control module of the smart bed system receives the pressure distribution information on the mattress surface detected by the pressure acquisition module, it can determine the offset between the user's sleeping position and the lifting position of the lifting mechanism according to the user's current sleeping position, wherein the lifting position of the lifting mechanism can be specifically understood as the fixed lifting area of ​​the dynamic arc partition in the smart bed system. This position can be determined according to actual needs. The present invention does not make specific limitations on this, which lays the foundation for the subsequent control module to control the working state of the lifting mechanism according to the offset.

[0165] S505: Control the working state of the lifting mechanism according to the offset.

[0166] Specifically, when the control module determines the offset between the user's sleeping position and the lifting position of the lifting mechanism, and the offset meets the trigger condition, for example, when the offset is greater than the offset threshold, the control module will control the lifting mechanism to rise, thereby avoiding the lifting process of the lifting mechanism affecting the user's sleep, achieving the goal of not affecting the user's sleep while ensuring the noise reduction effect, thereby improving the user's sleep quality.

[0167] In this embodiment, the pressure distribution information of the smart bed system is received by the control module in the smart bed system, and the offset between the user's sleeping position and the lifting position of the lifting mechanism is determined according to the pressure distribution information of the smart bed system, and the working state of the lifting mechanism is controlled according to the offset, thereby avoiding the lifting process of the lifting mechanism affecting the user's sleep, achieving the goal of not affecting the user's sleep while ensuring the noise reduction effect, and improving the user's sleep quality.

[0168] Embodiment 7

[0169] Fig.14 is a flow chart of a control method of an intelligent bed system provided by Embodiment 7 of the present invention. Based on the above embodiments, this embodiment describes in detail the method for controlling the working state of the lifting mechanism and the sound wave transmitting mechanism. Fig.14 As shown, the control method of the smart bed system of this embodiment may include:

[0170] S601, receiving and identifying the ambient audio of the environment in which the smart bed system is located, and determining the snoring information in the ambient audio.

[0171] S602: Control the working states of the lifting mechanism and the sound wave emitting mechanism according to the snoring information.

[0172] S603: Obtain pressure distribution information.

[0173] S604. Determine the offset between the user's sleeping position and the lifting position of the lifting mechanism according to the pressure distribution information of the smart bed system.

[0174] S605: When the offset is greater than or equal to the offset threshold, control the lifting structure to lift to the target height.

[0175] Among them, the target height is related to the offset.

[0176] Specifically, after determining the offset between the user's sleeping position and the lifting position of the lifting mechanism, the control module will compare the offset with the offset threshold. For example, the offset threshold can be 15 cm. That is, the control module can control the lifting structure to rise to the target height when the offset between the user's sleeping position and the lifting position of the lifting mechanism is greater than or equal to 15 cm. Among them, the target height can be related to the offset. For example, the relationship between the target height H and the offset ΔH can be: H = 40cm + 0.5 × ΔH, so that the height of the lifting mechanism can adapt to the actual position offset of the user. When the user's sleeping position is closer to the lifting mechanism, that is, the offset is small, the target height of the lifting mechanism is lower to avoid excessive intervention; and when the user's sleeping position is far away from the lifting mechanism, that is, the offset is large, the target height of the lifting mechanism is higher to ensure the sound insulation effect of the lifting mechanism, thereby achieving more accurate snoring intervention. The control module controls the lifting structure to the target height when the offset is greater than or equal to the offset threshold, thereby combining physical sound insulation and active noise reduction modes to significantly reduce the interference of snoring to the bed partner, improve the user's sleep quality, and avoid affecting the user's sleep, thereby improving the user's sleep quality.

[0177] Optionally, after controlling the lifting structure to be lifted to the target height, the method further includes: when the time during which the offset is less than the offset threshold exceeds a preset time, controlling the lifting structure to be lowered.

[0178] Specifically, after controlling the lifting structure to rise to the target height, the control module will continue to receive the pressure distribution information of the smart bed system, and update the offset between the user's sleeping position and the lifting position of the lifting mechanism in real time. When the control module determines that the offset is less than the offset threshold for more than a preset time, for example, the preset time can be 5 minutes, that is, when the control module determines that the offset is less than 15cm for more than 5 minutes, the control module will control the lifting structure to lower. When the user's sleeping position is close to the lifting mechanism for a long time, if the lifting mechanism remains in a raised state, it may affect the user's freedom to turn over, and even cause a sense of oppression or discomfort. Therefore, when it is detected that the user is close to the lifting mechanism for a long time, the control module will control the lifting mechanism to lower to avoid interfering with the user's natural sleeping position adjustment, improve the user's sleep quality, and reduce the energy consumption of the smart bed system.

[0179] In an optional embodiment, when the time when the offset is less than the offset threshold exceeds a preset time, the control module can also control the sound wave emitting mechanism to emit a second target sound wave. Specifically, when the offset between the user's sleeping position and the lifting position of the lifting mechanism is less than 15 cm, the control module can only control the sound wave emitting mechanism to emit a second target sound wave for noise reduction without starting the lifting mechanism. As a result, when the user's sleeping position is close to the lifting mechanism, active noise reduction is only performed by relying on the sound wave emitting mechanism, which effectively reduces the interference of snoring while avoiding the influence of the physical structure on the user, ensuring a comfortable sleeping environment, enhancing the flexibility and adaptability of the smart bed system, and reducing the energy consumption of the smart bed system.

[0180] In this embodiment, when the offset between the user's sleeping position and the lifting position of the lifting mechanism is greater than or equal to the offset threshold, the lifting structure is controlled to be lifted to the target height, thereby significantly reducing the interference of snoring to the bed partner by combining the two modes of physical sound insulation and active noise reduction, improving the user's sleep quality while avoiding the impact on the user's sleep, thereby improving the user's sleep quality. When the offset is less than the offset threshold for more than a preset time, the lifting structure is controlled to be lowered to avoid interfering with the user's natural sleeping position adjustment, thereby improving the user's sleep quality and reducing the energy consumption of the smart bed system.

[0181] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution disclosed in the present invention can be achieved, and this document does not limit this.

[0182] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A smart bed system, characterized in that: include: Sound collection module, control module, lifting mechanism and sound wave emitting mechanism; The sound collection module is electrically connected to the control module, and is used to collect the ambient audio of the environment in which the smart bed system is located, and transmit the ambient audio to the control module; The control module is used to identify the ambient audio and determine the snoring information in the ambient audio; the snoring information includes snoring intensity information, snoring duration information and snoring phase information; The control module is electrically connected to the control end of the lifting mechanism and the control end of the sound wave emitting mechanism respectively, and is used to control the working states of the lifting mechanism and the sound wave emitting mechanism according to the snoring information.

2. The intelligent bed system according to claim 1, characterized in that: The lifting mechanism includes at least one lifting sub-mechanism; The sound wave emitting mechanism includes at least one sound wave emitting sub-mechanism; The control module is used to control at least one of the lifting sub-mechanisms to be lifted to a target height, and to control at least one of the sound wave emitting sub-mechanisms to emit a first target sound wave when the snoring intensity is greater than or equal to an intensity threshold, and the snoring duration is greater than or equal to a duration threshold; wherein the phase of the first target sound wave is related to the snoring phase information.

3. The intelligent bed system according to claim 2, characterized in that: The snoring information also includes snoring source information; The control module is also used to determine the snoring source side and the non-snoring side according to the snoring source information; The lifting mechanism includes a first lifting substructure and a second lifting substructure, and the sound wave emitting mechanism includes a first sound wave emitting substructure and a second sound wave emitting substructure, wherein the first sound wave emitting substructure is arranged on the first lifting substructure, and the second sound wave emitting substructure is arranged on the second lifting substructure; The control module is used to control the first lifting sub-structure and the second lifting sub-structure to be lifted to a target height, and to at least control the sound wave emitting sub-mechanism located on the non-snoring side to emit the first target sound wave when the snoring intensity is greater than or equal to an intensity threshold and the snoring duration is greater than or equal to a duration threshold.

4. The intelligent bed system according to claim 1, characterized in that: Also includes: Pressure acquisition module; The pressure acquisition module is electrically connected to the control module, and is used to acquire pressure distribution information of the intelligent bed system and transmit the pressure distribution information to the control module; The control module is further used to determine the offset between the user's sleeping position and the lifting position of the lifting mechanism according to the pressure distribution information, and control the working state of the lifting mechanism according to the offset.

5. A control method for an intelligent bed system, characterized in that: An intelligent bed system applied to any one of claims 1 to 4; The control method comprises: Receive and identify the ambient audio of the environment in which the smart bed system is located, and determine the snoring information in the ambient audio; the snoring information includes snoring intensity information, snoring duration information and snoring phase information; The working states of the lifting mechanism and the sound wave emitting mechanism are controlled according to the snoring information.

6. The control method of the intelligent bed system according to claim 5, characterized in that: Identifying the ambient audio of the environment in which the smart bed system is located, and determining snoring information in the ambient audio, including: Identify audio features of each sub-audio in the ambient audio; Determine the snoring audio in the ambient audio according to the audio features and feature thresholds of each of the sub-audios; Snoring information is determined according to the snoring audio.

7. The control method according to claim 6, characterized in that: The audio characteristics include audio periodicity, audio harmonic-to-noise ratio, and audio fluctuation degree; The characteristic thresholds include a periodicity threshold, a harmonic-to-noise ratio threshold, a minimum fluctuation threshold, and a maximum fluctuation threshold; Determining the snoring audio in the ambient audio according to the audio features and feature thresholds of each of the sub-audios includes: Determine a periodicity probability factor according to a corresponding relationship between the audio periodicity of each of the sub-audios and the periodicity threshold; Determine a harmonic-to-noise ratio probability factor according to a corresponding relationship between the audio harmonic-to-noise ratio of each of the sub-audios and the harmonic-to-noise ratio threshold; Determine a fluctuation degree probability factor according to the corresponding relationship between the audio fluctuation degree of each sub-audio and the minimum fluctuation degree threshold and the maximum fluctuation degree threshold; According to the periodic probability factor, the harmonic noise ratio probability factor and the fluctuation degree probability factor of each of the sub-audios, based on a first calculation formula, the snoring probability in the ambient audio is determined; the first calculation formula is: P=α·Jbf+β·Hf+γ·Df Wherein, P is the probability of snoring, Jbf is the periodicity probability factor, Hf is the harmonic-to-noise ratio probability factor, Df is the fluctuation degree probability factor, α is the periodicity weight value, β is the harmonic-to-noise ratio weight value, and γ is the fluctuation degree weight value; The snoring audio in the environmental audio is determined according to the snoring probability and the probability threshold.

8. The control method of the intelligent bed system according to claim 5, characterized in that: The lifting mechanism includes at least one lifting substructure; The sound wave emitting mechanism includes at least one sound wave emitting sub-mechanism; Controlling the working states of the lifting mechanism and the sound wave emitting mechanism according to the snoring information includes: When the snoring intensity information is greater than or equal to the intensity threshold, and the snoring duration is greater than or equal to the duration threshold, at least one of the lifting sub-mechanisms is controlled to be lifted to a target height, and at least one of the sound wave emitting sub-mechanisms is controlled to emit a first target sound wave; wherein the phase of the first target sound wave is related to the snoring phase information.

9. The control method of the intelligent bed system according to claim 8, characterized in that: The snoring information also includes snoring source information; The lifting mechanism includes a first lifting substructure and a second lifting substructure, the sound wave emitting mechanism includes the first sound wave emitting substructure and a first sound wave emitting substructure, the first sound wave emitting substructure is arranged on the first lifting substructure, and the second sound wave emitting substructure is arranged on the second lifting substructure; When the snoring intensity information is greater than or equal to an intensity threshold, and the snoring duration is greater than or equal to a duration threshold, controlling at least one of the lifting sub-mechanisms to be lifted to a target height, and controlling at least one of the sound wave emitting sub-mechanisms to emit a first target sound wave, including: Determine the snoring source side and the non-snoring side according to the snoring source information; When the snoring intensity information is greater than or equal to an intensity threshold, and the snoring duration is greater than or equal to a duration threshold, the first lifting sub-structure and the second lifting sub-structure are controlled to be lifted to a target height, and at least the sound wave emitting sub-mechanism located on the non-snoring side is controlled to emit the first target sound wave.

10. The control method of the intelligent bed system according to claim 8, characterized in that: After controlling at least one of the lifting substructures to be lifted to a target height and controlling at least one of the sound wave emitting substructures to emit a first target sound wave, the method further includes: The target height is adjusted according to the real-time snoring intensity information.

11. The control method of the intelligent bed system according to claim 8, characterized in that: After controlling at least one of the lifting substructures to be lifted to a target height and controlling at least one of the sound wave emitting substructures to emit a first target sound wave, the method further includes: When there is no snoring information in the ambient audio, at least one of the lifting substructures is controlled to be lowered.

12. The control method of the intelligent bed system according to claim 5, characterized in that: Controlling the working states of the lifting mechanism and the sound wave emitting mechanism according to the snoring information includes: When the snoring intensity information is less than an intensity threshold, and / or the snoring duration is less than a duration threshold, the sound wave emitting mechanism is controlled to emit a second target sound wave, wherein the phase of the second target sound wave is related to the snoring phase information.

13. The control method of the intelligent bed system according to claim 5, characterized in that: The smart bed system further comprises a pressure acquisition module; the pressure acquisition module is used to acquire pressure distribution information of the smart bed system; The control method of the intelligent bed system also includes: Acquiring the pressure distribution information; Determining the offset between the sleeping position of the user and the lifting position of the lifting mechanism according to the pressure distribution information of the intelligent bed system; The working state of the lifting mechanism is controlled according to the offset.

14. The control method of the intelligent bed system according to claim 13, characterized in that: According to the offset, controlling the working state of the lifting mechanism includes: When the offset is greater than or equal to an offset threshold, the lifting structure is controlled to be lifted to a target height; wherein the target height is related to the offset.

15. The control method of the intelligent bed system according to claim 14, characterized in that: After controlling the lifting structure to be lifted to the target height, the method further comprises: When the time during which the offset is less than the offset threshold exceeds a preset time, the lifting structure is controlled to be lowered.

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