Yoga meditation space control system based on real-time linkage with natural sound scene

Abstract

The invention discloses a yoga meditation space control system based on real-time linkage with a natural sound scene, and the system comprises a natural sound scene collection module which is used for collecting sound information in a natural environment in real time, and transmitting the sound information to a control module; the control module is used for performing feature extraction and analysis on the sound information, retrieving and matching a corresponding meditation guide strategy in a preset meditation strategy database according to an analysis result, and sending the meditation guide strategy to the meditation guide module; the meditation guiding module comprises a self-adaptive sound insulation wall and a multi-dimensional environment response subsystem, and the self-adaptive sound insulation wall is used for selectively penetrating natural sound with a specific frequency according to a sound penetrating strategy in a meditation guiding strategy so as to create a sound environment corresponding to a natural sound scene; and the multi-dimensional environment response subsystem comprises a light and shadow array, and the light and shadow array comprises light sources which are densely distributed on the self-adaptive sound insulation wall and can be independently controlled and is used for creating a light and shadow environment corresponding to a natural sound scene according to a light and shadow control strategy in a meditation guide strategy.

Description

Technical Field

[0001] This application relates to the field of outdoor fitness equipment technology, and in particular to a yoga meditation space control system based on real-time linkage with natural soundscapes. Background Technology

[0002] In modern society, with the fast pace of life, yoga meditation is becoming increasingly popular as a way to relax the mind and body and reduce stress. However, existing yoga meditation spaces have many shortcomings.

[0003] Traditional yoga meditation spaces are typically relatively enclosed indoor spaces with fixed environmental parameters. On one hand, these spaces are isolated from the natural environment, lacking interaction with external natural sounds. Natural sounds, such as wind, raindrops, and birdsong, have a positive impact on human psychology and physiology, helping people relax, reduce stress, and improve concentration. However, in traditional meditation spaces, users cannot enjoy the benefits of natural sounds, making the meditation experience lack authenticity and immersion. For example, during deep relaxation meditation, the sounds of birdsong or gentle wind can enhance the relaxing atmosphere, but this is impossible in an enclosed indoor space.

[0004] On the other hand, the environmental parameters of traditional meditation spaces, such as sound, light, temperature, and humidity, cannot be dynamically adjusted in real time according to changes in the external natural environment. Existing spaces typically employ fixed soundproofing measures, completely isolating external sounds, preventing users from perceiving changes in the natural soundscape. Even when some spaces attempt to introduce natural sounds, they merely play pre-recorded audio, failing to match real-time natural sounds and lacking authenticity. Furthermore, environmental factors such as light, temperature, and humidity cannot be intelligently adjusted according to different natural soundscapes and meditation stages. For example, when there is the sound of raindrops outside, the meditation space cannot adjust the light and humidity accordingly to create an atmosphere that matches the sound of raindrops.

[0005] Furthermore, in terms of guided meditation, traditional meditation spaces lack personalized and intelligent guidance methods. They typically rely solely on verbal guidance from a meditation instructor or the playing of pre-set guided audio, failing to provide tailored guidance based on real-time natural soundscapes and the individual needs of the users. For example, different natural soundscapes are suited to different types of meditation; the sound of thunder and raindrops might be more suitable for energy release meditation, but traditional meditation spaces cannot automatically identify soundscapes and match them to the corresponding meditation type.

[0006] In conclusion, existing yoga meditation spaces are significantly lacking in terms of integration with natural soundscapes, intelligent adjustment of environmental parameters, and personalized meditation guidance, thus failing to provide users with a high-quality, immersive yoga meditation experience. Summary of the Invention

[0007] The main purpose of this application is to provide a yoga meditation space control system based on real-time linkage with natural soundscapes, in order to solve the problems of lack of effective guidance in traditional outdoor yoga and the uncontrollability of outdoor natural environmental factors in the existing technology.

[0008] To achieve the above objectives, this application provides the following technical solution: A yoga meditation space control system based on real-time linkage with natural soundscapes includes: a control module, a natural soundscape acquisition module, and a meditation guidance module, wherein: The natural soundscape acquisition module is used to acquire sound information from the natural environment in real time and send it to the control module; The control module is used to extract and analyze the sound information, and retrieve and match the corresponding meditation guidance strategy in the preset meditation strategy database according to the analysis results, and send it to the meditation guidance module. The meditation guidance module includes an adaptive soundproof wall and a multi-dimensional environmental response subsystem, wherein: The adaptive soundproof wall encloses the meditation space, which is used to selectively allow natural sounds of specific frequencies to penetrate according to the sound penetration strategy in the meditation guidance strategy, thereby creating a sound environment that echoes the natural soundscape. The multidimensional environmental response subsystem includes a light and shadow array, which comprises independently controllable light sources densely distributed on the adaptive soundproof wall, for creating a light and shadow environment that echoes the natural soundscape according to the light and shadow control strategy in the meditation guidance strategy.

[0009] As a further improvement to this application, the control module performs feature extraction and analysis on the sound information, including: The sound information is filtered to remove noise and the signal is amplified to increase the signal strength, thereby improving the quality of the sound signal; The sound signal is subjected to spectral analysis to obtain its spectral characteristics, and the intensity, frequency distribution, and rhythm characteristics of the sound are obtained through these spectral characteristics. The extracted sound features are classified and identified using machine learning classification algorithms to accurately identify the sound type of the sound information.

[0010] As a further improvement to this application, the control module performs feature extraction and analysis on the sound information, including: The time-domain features of the sound signal are converted into frequency-domain features by using Fast Fourier Transform to obtain the spectral features of the sound signal. By analyzing the frequency component information in the spectral characteristics, the main frequencies, frequency bandwidth, and frequency centroid in the frequency distribution are determined. The intensity of the sound signal is calculated by measuring the amplitude of each frequency component in the spectral characteristics. The rhythm features are extracted by performing time-domain analysis on the spectral features to find periodic change patterns in specific frequencies within the spectral features.

[0011] As a further improvement to this application, the establishment of the meditation database includes: The effects of different natural soundscapes on human psychological and physiological states were quantitatively analyzed using physiological monitoring equipment, including: The changes in the sound feature parameters of different natural soundscapes on the electroencephalogram (EEG), electrocardiogram (ECG), and skin conductance parameters of the human body were analyzed, and the mapping relationship between the sound feature parameters and the EEG, ECG, and skin conductance parameters was established one by one, and the mapping data was collected. By combining yoga meditation theory with the collected mapping data, meditation types are matched to establish a meditation database that corresponds to natural soundscapes and meditation types.

[0012] As a further improvement to this application, the wall material of the adaptive soundproof wall is an electrochromic material, and the sound penetration strategy includes: In the initial stage of meditation, when the analysis result of the sound information is ambient noise, the ambient noise is blocked by controlling the increase of the voltage applied to the adaptive sound barrier and reducing the sound transmission rate of the adaptive sound barrier. When the analysis result of the sound information is suitable for a natural soundscape that is linked with the meditation space, the voltage value applied to the adaptive soundproof wall is accurately calculated according to the frequency, intensity and type of the sound information, so as to selectively allow natural sounds of specific frequencies to penetrate and create a sound environment that echoes the natural soundscape.

[0013] As a further improvement to this application, the sound penetration strategy further includes: When the analysis result of the sound information indicates a sudden change in the natural soundscape, the rate of change of the voltage applied to the adaptive sound barrier is calculated based on the frequency range, intensity change, and rhythm change of the sound information of the soundscape before and after the change, and the sound transmittance of the adaptive sound barrier is dynamically adjusted.

[0014] As a further improvement to this application, the light and shadow control strategy includes: Based on the analysis results of the rhythmic feature information in the sound information, the light and shadow array is dynamically controlled according to the preset soundscape-light and shadow mapping rules of the meditation strategy database, including: The rhythmic feature information is converted into a corresponding time series signal through a second algorithm, which is used to control the frequency and amplitude of the brightness change of the light source; Based on the rhythmic feature information, the brightness ratios of the red, green, and blue primary colors of the light source are accurately calculated; The overall brightness and color of the light and shadow array are adaptively adjusted based on the intensity and color information of the ambient light within the meditation space.

[0015] As a further improvement to this application, the light and shadow control strategy further includes: When the analysis result of the sound information indicates a sudden change in the natural soundscape, the color mixing rate and brightness change rate of the light source are dynamically adjusted so that the light and shadow array can adaptively adjust the light and shadow environment of the meditation space when the soundscape changes.

[0016] As a further improvement to this application, the multidimensional environmental response subsystem further includes an airflow and temperature / humidity control device, and the meditation guidance strategy further includes an airflow and temperature / humidity control strategy, including: When the sound information includes wind noise, the speed and blade angle of the airflow and the fan of the temperature and humidity control device are adjusted in combination with the measured wind speed and wind direction information within the meditation space. When the sound information includes the sound of wind, the cooling or heating power of the airflow and the air conditioning equipment of the temperature and humidity control device is adjusted according to the soundscape-temperature matching rules preset in the meditation space, combined with the temperature information measured in the meditation space. When the sound information includes the sound of raindrops, the power and spray volume of the humidifier of the airflow and temperature and humidity regulating device, or the power and dehumidification volume of the dehumidifier, are adjusted according to the intensity information of the raindrop sound and the humidity information measured in the meditation space.

[0017] As a further improvement to this application, the multidimensional environmental response subsystem further includes a haptic feedback floor, in which multiple micro-vibration devices are integrated and installed. The meditation guidance strategy also includes a haptic modulation strategy, comprising: Based on the analysis results of the intensity, frequency, and rhythm characteristics in the sound information, the vibration frequency and amplitude of the micro-vibration device are adjusted. Based on the real-time measurement of pressure information in a certain area of ​​the tactile feedback floor, the vibration frequency and amplitude of the micro-vibration device in that area are dynamically adjusted.

[0018] The beneficial effects of this application are as follows: The control module collects various sound information from the natural environment in real time through the natural soundscape acquisition module, extracts and analyzes its features, and, based on the analysis results, selectively allows natural sounds of specific frequencies to penetrate through the sound penetration strategy within the meditation guidance strategy, creating a sound environment that resonates with the natural soundscape. Similarly, the lighting and shadow control strategy within the meditation guidance strategy creates a lighting and shadow environment that echoes the natural soundscape. This achieves dynamic adjustment of the meditation space's internal environment through real-time linkage with the natural soundscape, simulating a realistic natural environment and providing users with targeted meditation guidance. This greatly enhances the immersion of meditation, helps users enter a meditative state more quickly and deeply, and significantly improves the quality of the meditation experience. Attached Figure Description

[0019] Figure 1 This is a schematic diagram of the structure of the yoga meditation space control system based on real-time linkage with natural soundscapes, as described in this application.

[0020] Figure 2 This is a schematic diagram of the system structure of the multidimensional environmental response subsystem in this application.

[0021] Figure 3 This is a flowchart illustrating the steps of the control module in this application for feature extraction and analysis of sound information.

[0022] Figure 4 This is a flowchart illustrating the steps involved in establishing the meditation database in this application.

[0023] Figure 5 This is a flowchart illustrating the steps of the sound penetration strategy in this application.

[0024] Figure 6 This is a flowchart illustrating the preferred method steps for the sound penetration strategy in this application.

[0025] Figure 7 This is a flowchart illustrating the method steps of the light and shadow control strategy in this application.

[0026] Figure 8 This is a schematic diagram of the method steps for the airflow and temperature and humidity regulation strategy in this application.

[0027] Figure 9 This is a flowchart illustrating the steps of the haptic adjustment strategy in this application. Detailed Implementation

[0028] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0029] like Figure 1 As shown, this application discloses a yoga meditation space control system based on real-time linkage with natural soundscapes, including: a control module 1, a natural soundscape acquisition module 2, and a meditation guidance module 3. The system of this application is mainly applied to urban yoga studios, home meditation spaces, or office rest areas, etc., introducing the natural soundscapes of the natural environment indoors to enhance the meditation effect of the natural environment, providing a naturally reset meditation space. This meditation space not only isolates unnecessary artificial noise but also creates a dynamic meditation experience that engages in real-time dialogue with nature, allowing users to maintain a deep connection with the natural rhythms of the outside world even indoors.

[0030] Combination Figure 1 and Figure 2 As shown, the natural soundscape acquisition module 2 is used to collect sound information from the natural environment in real time and send it to the control module 1. The natural soundscape acquisition module 2 includes multiple microphones arranged around the natural environment to form a microphone array. Specifically, for collecting birdsong, microphones can be installed near trees, utilizing the reflection and focusing effect of tree branches to improve the clarity of the birdsong. For wind sounds, microphones are placed in open and well-ventilated areas to ensure accurate capture of wind sound signals. The microphones should be distributed in an array pattern, such as a linear array or a planar array, to more comprehensively collect sounds from different directions. Simultaneously, these microphones possess extremely high sensitivity, capable of detecting extremely subtle sound changes, such as the faint chirping of distant birds or the slight rustling of leaves in a breeze.

[0031] The control module 1 is used to extract and analyze the features of the sound information, and retrieve and match the corresponding meditation guidance strategy in the preset meditation strategy database based on the analysis results, and send it to the meditation guidance module 3.

[0032] The meditation guidance module 3 includes an adaptive soundproof wall 31 and a multi-dimensional environmental response subsystem 32, wherein: An adaptive soundproof wall 31 is used to create a meditation space, selectively allowing natural sounds of specific frequencies to penetrate according to the sound penetration strategy in the meditation guidance strategy, creating a sound environment that resonates with the natural soundscape. The wall material of the adaptive soundproof wall 31 is made of electrochromic material, which includes a transparent conductive layer, an electrochromic layer, and an ion storage layer. The transparent conductive layer can be made of materials such as indium tin oxide (ITO), and its main function is to provide a uniform electric field for the electrochromic layer, ensuring that the material undergoes a uniform change in acoustic properties when a voltage is applied. The electrochromic layer can be made of transition metal oxides, such as tungsten trioxide (WO3), and the ion storage layer can be made of materials such as lithium cobalt oxide (LiCoO2). The ion storage layer can store and release ions, providing the necessary ion source for the reaction of the electrochromic layer. Under the action of an electric field, ions in the ion storage layer migrate to the electrochromic layer through the ion conductor layer. The insertion and extraction of ions can change the crystal structure of the electrochromic layer, thereby affecting the material's sound absorption, reflection and transmission characteristics, and thus adjusting the sound transmittance.

[0033] The multi-dimensional environmental response subsystem 32 includes a light and shadow array 321, which comprises independently controllable light sources densely distributed on the adaptive soundproof wall 31. This array is used to create a light and shadow environment that resonates with the natural soundscape, based on the light and shadow control strategy within the meditation guidance strategy. The light source of the light and shadow array 321 is LED beads, arranged in a specific array pattern, such as a matrix arrangement, to form the light and shadow array 321, enabling precise control of each area. Each LED bead has an independent driving circuit, capable of precisely adjusting the brightness ratio of the three primary colors (red, green, and blue) according to instructions from the control module 1, thereby mixing a rich variety of colors.

[0034] This application uses control module 1 to collect various sound information from the natural environment in real time through natural soundscape acquisition module 2, performs feature extraction and analysis, and, based on the analysis results, uses the sound penetration strategy in the meditation guidance strategy to allow the adaptive soundproof wall 31 to selectively allow natural sounds of specific frequencies to penetrate, creating a sound environment that echoes the natural soundscape; and uses the light and shadow control strategy in the meditation guidance strategy to allow the light and shadow array 321 to create a light and shadow environment that echoes the natural soundscape. This achieves dynamic adjustment of the internal environment of the meditation space through real-time linkage with the natural soundscape to simulate a realistic natural environment, providing users with targeted meditation guidance, greatly enhancing the immersion of meditation, helping users enter a meditative state more quickly and deeply, and significantly improving the quality of the meditation experience.

[0035] like Figure 3 As shown, control module 1 performs feature extraction and analysis on sound information, including the following steps: S11. Filtering the sound information removes noise and amplifies the signal to increase signal strength, thereby improving the quality of the sound signal. Since various noise interferences exist in the actual natural environment, such as mechanical noise and environmental background noise, these noises can affect the accuracy of sound analysis and recognition. Digital filters, such as Butterworth filters and Chebyshev filters, can be used. Appropriate filter parameters are designed according to the frequency characteristics of different natural sounds to remove noise signals and retain useful sound signal frequency bands. For example, birdsong is mainly concentrated in the high-frequency range, so a high-pass filter can be designed to filter out low-frequency noise; while raindrop sounds are concentrated in the low-frequency range, so a low-pass filter is used to remove high-frequency noise. Signal amplification is achieved by using a signal amplifier to increase the amplitude of the filtered sound signal to an appropriate level for subsequent analysis and processing.

[0036] S12. Perform spectral analysis on the sound signal to obtain its spectral characteristics, and obtain the intensity, frequency distribution, and rhythm characteristics of the sound through these spectral characteristics.

[0037] Specifically, the time-domain features of a sound signal are converted into frequency-domain features using the Fast Fourier Transform (FFT) to obtain the spectral characteristics of the sound signal. The FFT efficiently decomposes a time-series sound signal into sinusoidal components of different frequencies, thus obtaining the sound spectrum. Analysis of the spectral characteristics allows for a clear observation of the unique characteristics of different natural sounds in the frequency domain. For example, the spectrum of birdsong has abundant high-frequency harmonics; the distribution and intensity of these harmonics constitute the characteristic fingerprint of different bird calls. The spectrum of raindrop sounds exhibits a relatively concentrated energy distribution in the low-frequency range, and the spectral characteristics change with the size and density of the raindrops.

[0038] By analyzing the frequency components in the spectral characteristics, we can determine the dominant frequencies, bandwidth, and centroid of the frequency distribution. Spectral characteristics are a visual representation of sound in the frequency domain; a spectrogram reflects the distribution of sound energy across different frequencies. Frequency distribution characteristics further quantify and refine the information about frequency components in the spectrum. For example, the high-frequency region of a bird's song spectrum contains abundant energy, indicating that its frequency distribution is concentrated in the high frequencies. These high-frequency components constitute the unique timbre and tone of a bird's song. Through detailed analysis of the spectrum, we can determine key parameters such as the dominant frequencies, bandwidth, and centroid of the frequency distribution. These parameters provide important basis for accurately identifying the type of sound.

[0039] The intensity of a sound signal is calculated by measuring the amplitude of each frequency component in its spectral characteristics. A higher sound signal intensity typically corresponds to a larger amplitude of the corresponding frequency component in the spectrum, indicating a greater concentration of energy at that frequency. For example, in the sound spectrum of a heavy rainstorm, the amplitude of the low-frequency components is larger, reflecting the high intensity of the raindrop sound and the concentration of energy primarily in the low-frequency region. The total energy of the entire spectrum or the energy within a specific frequency range can be calculated using the root mean square (RMS) value, thus yielding a numerical measure of sound intensity.

[0040] Time-domain analysis of spectral characteristics is performed to identify periodic patterns of change at specific frequencies, thus extracting rhythmic features. For example, the spectrum of a sound with a regular rhythm may exhibit periodic patterns at certain frequencies. Taking the regular falling of raindrops as an example, periodic amplitude changes occur in certain frequency components, corresponding to the rhythm of the falling raindrops. Furthermore, analyzing the dynamic changes of spectral characteristics over time can better capture variations in sound rhythm, such as the rhythmic changes of birdsong at different times. The frequency components and their amplitudes can be observed to dynamically adjust over time, aiding in the accurate extraction of rhythmic features.

[0041] S13. Using machine learning classification algorithms, the extracted sound features are classified and identified to accurately determine the sound type of the sound information. Specifically, a convolutional neural network (CNN) can be used. During the training phase, a large number of labeled natural sound samples are collected, including various raindrop sounds, wind sounds, birdsong, stream sounds, etc., and these samples are divided into training sets, validation sets, and test sets. After preprocessing and feature extraction, the sound samples are transformed into a format suitable for CNN input, typically a two-dimensional spectral image or a time-frequency matrix. The CNN model consists of multiple convolutional layers, pooling layers, and fully connected layers. The convolutional layers extract local features by sliding the convolutional kernel across the input data; the pooling layers downsample the output of the convolutional layers to reduce data dimensionality while retaining key features. After multiple convolutional and pooling operations, the data enters the fully connected layer for classification decisions. During training, the model parameters are continuously adjusted using the backpropagation algorithm to minimize the error between the model's prediction and the labeled sound category. After training with a large number of samples, the CNN model can learn the feature patterns of different natural sounds, thus possessing the ability to accurately classify and identify natural sounds.

[0042] like Figure 4 As shown, the establishment of the meditation database includes the following steps: S21. Quantitatively analyze the impact of different natural soundscapes on human psychological and physiological states using physiological monitoring equipment, including: This study analyzes the changes in electroencephalogram (EEG), electrocardiogram (ECG), and electrodermal response (EDS) parameters of the human body caused by the sound characteristics of different natural soundscapes. Mapping relationships between these sound characteristics and EEG, ECG, and EDS parameters are established, and mapping data are collected. Specifically, various physiological monitoring devices are used to quantitatively analyze the participants' physical and mental responses when listening to different natural soundscapes. EEG is used to accurately measure the brain's electrical activity, capturing changes in brainwaves at different frequencies, such as alpha waves, beta waves, and theta waves, to assess participants' attention, relaxation level, and mental activity. For example, alpha wave activity typically increases when participants are in a state of deep relaxation. ECG monitors the heart's electrical activity, recording indicators such as heart rate and rhythm to reflect the body's stress level and cardiovascular system response. For instance, certain soothing natural soundscapes may gradually decrease heart rate, indicating a state of relaxation. EDS measures changes in skin resistance to assess participants' emotional arousal and autonomic nervous system activity. When a person is under stress or excited, their skin conductivity changes significantly.

[0043] S22. Combining yoga and meditation theory, the collected mapping data is matched with meditation types to establish a meditation database corresponding to natural soundscapes and meditation types. Statistical methods are used to classify, compare, and analyze the physiological data of participants of different ages, genders, and levels of meditation experience under various natural soundscapes. For example, the differences in EEG and heart rate changes when hearing birdsong are analyzed among different age groups, exploring the influence of gender on skin conductance responses induced by raindrop sounds. These physiological responses are then associated with different meditation types, based on yoga and meditation theory. For instance, natural soundscapes that enhance alpha waves, decrease heart rate, and stabilize skin conductance responses in most participants are associated with deep relaxation meditation types; while soundscapes that increase beta wave activity, slightly increase heart rate, and enhance skin conductance responses may be associated with concentration training or energy-boosting meditation types.

[0044] Through extensive data accumulation and analysis, a comprehensive and detailed meditation database has been established, corresponding to various soundscapes and meditation types. This database not only contains detailed acoustic characteristics of various natural soundscapes but also precisely matches them with the most suitable meditation types, providing a scientific and reliable data foundation for the output of meditation guidance strategies.

[0045] like Figure 5 As shown, the wall material of the adaptive soundproof wall is an electrochromic material, and the sound penetration strategy includes the following steps: S31. In the initial stage of meditation, when the analysis result of the sound information indicates ambient noise, the voltage applied to the adaptive soundproof wall is increased to reduce the sound transmission rate of the adaptive soundproof wall, thereby blocking the ambient noise. To help users quickly enter a quiet and relaxed state, the natural soundscape acquisition module 2 detects external noise interference, and the control module 1 increases the voltage applied to the adaptive soundproof wall 31, causing more ions to embed into the electrochromic layer, changing its material structure, enhancing sound absorption and reflection, reducing sound transmission rate, and effectively blocking ambient noise.

[0046] S32. When the analysis result of the sound information is suitable for a natural soundscape that is linked with the meditation space, the voltage value applied to the adaptive soundproof wall is accurately calculated according to the frequency, intensity and type of the sound information through the first algorithm, so as to selectively allow natural sounds of specific frequencies to penetrate and create a sound environment that echoes the natural soundscape.

[0047] Specifically, firstly, the acoustic performance of the electrochromic material used in the adaptive sound barrier 31 was comprehensively tested under different voltage conditions, and the absorption, reflection, and transmission data of the electrochromic material for different frequencies of sound were recorded at various voltage values. By changing the voltage, the influence of changes in the material structure on the sound propagation characteristics was observed, thereby establishing the correspondence between voltage and sound frequency and intensity.

[0048] Based on this, data analysis algorithms are used to deeply mine and model the large amount of natural soundscape data collected, analyze the inherent law between the sound of different frequencies and intensities and the voltage required to change the acoustic properties of materials, and form a sound frequency-voltage regulation model.

[0049] Specifically, firstly, the frequency, intensity, and voltage data of different dimensions are converted into a unified scale for comparison and analysis. The standardization method used here is the min-max standardization method, using formula (1): The frequency, intensity, and voltage data are mapped to the 0-1 interval respectively to form standard data for frequency, intensity, and voltage. In formula (1), X norm The data is standardized, and X is the original data. max X is the maximum value of this data. min This is the minimum value of the data.

[0050] Then, the standardized frequency f, intensity I, and voltage V are compared using a multiple linear regression model, and expressed by formula (2): Establish a linear relationship, where in formula (2), β0 is the intercept, which represents the voltage value when both frequency f and intensity I are 0, β1 is the coefficient of frequency f, which measures the change in voltage V for each unit change in frequency f; similarly, β2 is the coefficient of intensity I, which reflects the change in voltage V for each unit change in intensity I.

[0051] To determine the specific values ​​of coefficients β0, β1, and β2, the method of minimizing the sum of squared errors is used here: assuming there are n sets of observation data (f i I i V i ), i=1,2,...,n, for the voltage values ​​predicted by the model It can be calculated using formula (2). Then the error e i It can be derived from formula (3): , calculate it.

[0052] Calculation error e i The sum of squares can be derived from formula (4): In formula (4), e i For observing voltage V i With predicted voltage The error value, f i For the observation frequency, I i The intensity of observation.

[0053] Our goal is to find a set of values ​​for β0, β1, and β2 that minimizes S(β0, β1, β2). To achieve this, in formula (4), we take the partial derivatives of S(β0, β1, β2) with respect to β0, β1, and β2 respectively, and set these partial derivatives to 0. Take the partial derivative with respect to β0: (a).

[0054] Take the partial derivative with respect to β1: (b).

[0055] Take the partial derivative with respect to β2: (c).

[0056] By solving the three equations (a), (b), and (c) simultaneously, we can obtain the estimated values ​​of β0, β1, and β2 that minimize the sum of squared errors, thereby determining the linear relationship between the frequency and intensity of the sound and the voltage of the electrochromic material.

[0057] When control module 1 receives the frequency and intensity information of real-time birdsong, it inputs this data into the sound frequency-voltage regulation model. The sound frequency-voltage regulation model performs calculations based on pre-learned patterns. First, it searches the model database for the best-matching frequency range and corresponding base voltage range based on the frequency of the birdsong. Then, it further fine-tunes the base voltage range by incorporating the intensity information of the birdsong. If the intensity of the birdsong is high, the voltage value is appropriately increased within the base voltage range; conversely, if the intensity is low, the voltage value is correspondingly decreased.

[0058] Through precise calculations, the sound frequency-voltage adjustment model outputs a voltage value suitable for the frequency and intensity of the bird song. Control module 1 quickly applies this voltage value to the transparent conductive layer of the adaptive sound barrier 31, ensuring that the electrochromic material structure undergoes precise changes, achieving selective penetration of the bird song's specific frequency and creating a sound environment that resonates with the natural soundscape for the meditation space. This highly precise calculation and adjustment mechanism achieves perfect integration between the adaptive sound barrier 31 and the natural soundscape, providing users with an immersive meditation experience.

[0059] like Figure 6 As shown, as a preferred embodiment, the sound penetration strategy further includes the following steps: S33. When the analysis result of the sound information is that the natural sound scene has a sudden change, the change rate of the voltage value applied to the adaptive sound barrier is calculated based on the frequency range, intensity change and rhythm change of the sound information of the sound scene before and after the sudden change, and the sound transmission rate of the adaptive sound barrier is dynamically adjusted.

[0060] For example, during the transition from birdsong to wind, in the initial stage of detecting the change, control module 1 first performs a rapid analysis of the frequency range, intensity changes, and rhythm changes of the birdsong in the current soundscape and the wind sound in the upcoming soundscape. For instance, birdsong has a relatively high frequency and varied rhythm, while wind sound has a lower frequency and a more stable rhythm. Based on these differences, control module 1 begins to make preliminary adjustments to the sound transmission rate of the adaptive sound barrier 31.

[0061] First, for high-frequency sounds, such as birdsong, the transmission rate is adjusted. Since birdsong can interfere with wind noise, control module 1 dynamically adjusts the transmission rate by decreasing it by 3%-5% per second based on the real-time intensity and frequency changes of the birdsong, thus suppressing high-frequency sounds. For example, if the intensity of the birdsong suddenly increases, control module 1 will appropriately accelerate the reduction rate of the high-frequency transmission rate to ensure that high-frequency birdsong interference can be effectively controlled when wind noise is introduced.

[0062] Meanwhile, the transmission rate of low-frequency sounds, such as wind, gradually increases. Control module 1 enhances low-frequency sounds by increasing the transmission rate by 2%-4% per second. During this enhancement process, the frequency bands of low-frequency transmission are precisely selected and adjusted based on the intensity and frequency range of the simulated wind sound. For example, when the simulated wind sound intensity is high, control module 1 prioritizes increasing the low-frequency transmission rate corresponding to the strong wind frequency range, ensuring that the wind sound can enter the meditation space with appropriate intensity and frequency characteristics.

[0063] During the mid-stage of the transition, the adjustment rate of high-frequency and low-frequency transmission gradually slows down. High-frequency transmission continues to adjust at a rate of 1%-2% decrease every 1.5-2 seconds, while low-frequency transmission steadily increases at a rate of 1%-2% increase every 1.5-2 seconds. This stage is mainly to allow users to gradually adapt to changes in the sound environment and avoid the abrupt sound distortion caused by rapid changes in transmission.

[0064] When the high-frequency transmission rate decreases to a certain level, such as 30%-40% of the initial value, and the low-frequency transmission rate increases to near the transmission rate required for simulating wind sound, the transition phase begins. At this point, control module 1 finely adjusts the high-frequency and low-frequency transmission rates to achieve a balance. The high-frequency transmission rate is finely adjusted by decreasing by 0.5%-1% every 2-3 seconds, while the low-frequency transmission rate is finally calibrated by increasing by 0.5%-1% every 2-3 seconds.

[0065] Throughout the sound transmittance adjustment process, the adaptive soundproof wall 31 uses its equipped sound sensors to monitor parameters such as the frequency and intensity of sound within the space in real time, and feeds this data back to the control module 1. Based on the feedback data, the control module 1 continuously optimizes the sound transmittance adjustment strategy to ensure that the sound environment within the space remains comfortable and stable during the soundscape transition, creating a consistent meditation environment for the user. For example, if the sound sensors detect that high-frequency bird calls are still relatively prominent in the meditation space, even during the sound transmittance adjustment process, the control module 1 will appropriately accelerate the reduction rate of high-frequency sound transmittance to further reduce the interference of bird calls and allow wind sounds to be presented more clearly.

[0066] Through the sound penetration strategy described above, and through a meticulous, precise, and stable sound transmission rate adjustment transition mechanism, the control module 1 enables the adaptive soundproof wall to adaptively adjust the sound environment of the meditation space when the soundscape changes, ensuring that users are not disturbed by sudden changes in the external natural sound environment, and providing users with a seamless meditation experience.

[0067] like Figure 7 As shown, the lighting and shadow control strategy includes the following steps: S41. Based on the analysis results of the rhythmic feature information in the sound information, and through the preset soundscape-light-shadow mapping rules in the meditation strategy database, dynamically control the light and shadow array, including: The rhythmic feature information is converted into a corresponding time-series signal using a second algorithm, which is used to control the frequency and amplitude of brightness changes in the light source. First, the extracted rhythmic feature information is quantized, mapping the rhythmic period of the soundscape to a standard time scale. For example, for the rhythmic period of birdsong, a basic time unit is set, assuming it to be 100 milliseconds. Regardless of the actual rhythmic period of the collected birdsong, it is converted into a value in 100-millisecond units. If the actual rhythmic period is 500 milliseconds, it is quantized into 5 units. For the intensity of the birdsong, it is normalized to a value range of 0-1, where 0 represents the weakest intensity and 1 represents the strongest intensity. In this way, the time-domain features such as rhythmic period and intensity are converted into easily processed quantized values, providing a data foundation for subsequent signal conversion.

[0068] Based on the quantized rhythmic period of the birdsong, a frequency mapping rule is used to determine the frequency of light source changes. A frequency mapping table is pre-defined; for example, when the quantized rhythmic period is 1-2 units, corresponding to an actual rhythmic period of 100-200 milliseconds, the light source brightness change frequency is set to 5 times per second; when the rhythmic period is 3-4 units, corresponding to an actual rhythmic period of 300-400 milliseconds, the light source brightness change frequency is 3 times per second; and when the rhythmic period is greater than 4 units, corresponding to an actual rhythmic period greater than 400 milliseconds, the light source brightness change frequency is 1 time per second. This mapping relationship establishes a connection between the rhythmic period of the birdsong and the frequency of light source brightness changes, allowing the light source's flicker frequency to change in accordance with the speed of the birdsong rhythm.

[0069] Based on the normalized bird call intensity, amplitude modulation is used to control the variation in light source brightness. An amplitude modulation function is defined, such as a linear function or a non-linear sine function. Taking a linear function as an example, when the normalized bird call intensity is 0, the brightness variation is set to the minimum, assuming a brightness range of 0-255, from 80 to 120; when the normalized intensity is 1, the brightness variation is set to the maximum, from 30 to 220. Thus, as the bird call intensity changes, the brightness variation changes accordingly; the higher the intensity, the more pronounced the brightness change, thereby simulating a light and shadow effect that corresponds to the bird call intensity. Through the above light and shadow control strategy, control module 1 can accurately convert the rhythmic characteristics of the bird call into a time-series signal controlling the brightness variation of the light source, presenting users with a dynamic light and shadow effect that highly matches the natural soundscape, greatly enhancing the immersive experience of the yoga meditation space.

[0070] Based on rhythmic characteristics, the brightness ratios of the red, green, and blue primary colors of the light source are precisely calculated. For example, by using the rhythmic characteristics of birdsong, the light and shadow array 321 can achieve a golden effect. Generally, gold can be achieved by appropriately increasing the brightness of red and green light sources and decreasing the brightness of blue light sources. For example, the brightness ratio of red light sources is 60%, green light sources 30%, and blue light sources 10%, with the specific ratios fine-tuned according to the actual effect. As the rhythm of the birdsong changes, the saturation and brightness of the colors are adjusted accordingly. When the birdsong is cheerful and the rhythm is faster, the saturation and brightness of the gold are appropriately increased to make the light and shadow effect brighter and more vibrant; when the birdsong is gentle and the rhythm is slower, the saturation and brightness are decreased to create a softer atmosphere.

[0071] For the sound of raindrops, the light and shadow array 321 displays a bluish-gray wavy light wave. During the simulation, the color parameters of the bluish-gray are first determined, such as the mixing ratio of blue and gray, and this color is achieved by adjusting the brightness of the red, green, and blue primary color LEDs. To create the wavy effect, the control module 1 uses a two-dimensional light source control algorithm to sequentially change the brightness of the light source in different areas according to a certain pattern. For example, starting from the top of the wall, the brightness change gradually propagates downwards in the form of a sine or cosine wave, simulating the effect of ripples rising and spreading from the water surface. The speed, wavelength, and amplitude of the ripples are dynamically adjusted according to the intensity and rhythm of the raindrop sound. The greater the intensity of the raindrop sound, the faster the speed and the larger the amplitude of the ripples; the faster the rhythm of the raindrop sound, the shorter the wavelength of the ripples.

[0072] Based on the intensity and color information of the ambient light within the meditation space, the overall brightness and color of the light and shadow array 321 are adaptively adjusted. To make the light and shadow effects more closely match the actual environment, multiple ambient light sensors can be installed within the meditation space to monitor the intensity and color information of the surrounding ambient light in real time and feed the data back to the control module 1. The control module 1 automatically adjusts the overall brightness and color of the light and shadow array 321 according to changes in ambient light, ensuring that the light and shadow effects are clearly presented and in harmony with the environment under different ambient light conditions, creating a more natural and comfortable visual environment.

[0073] like Figure 7 As shown, the lighting and shadow control strategy also includes the following steps: S42. When the analysis result of the sound information indicates a sudden change in the natural soundscape, dynamically adjust the color mixing rate and brightness change rate of the light source so that the light and shadow array can adaptively adjust the light and shadow environment of the meditation space when the soundscape changes.

[0074] Using birdsong and wind sounds as examples, in the transition of light and shadow colors, since birdsong corresponds to soft, golden light like morning light, while wind sounds correspond to a gradually flowing cool-toned light and shadow effect, control module 1 changes the colors in a gradual manner. First, in the initial 3-5 seconds, control module 1 reduces the proportion of red and yellow components in the golden light at a rate of 1%-3% per second. For example, if the golden light is originally a mixture of 60% red, 30% green, and 10% blue, the proportion of red decreases by 1.5% per second, and the proportion of yellow, which is mixed by adjusting the red and green ratios, decreases accordingly, while the blue component gradually increases at a rate of 1%-2% per second.

[0075] As the red and yellow components decrease, blue and gray tones gradually take over. Over the next 5-8 seconds, the mixing ratio of blue and gray is continuously adjusted to achieve a hue that matches the windy environment. For example, the final adjustment is to a ratio of 40% blue, 40% gray, and 20% other colors, giving the light and shadow array 321 a cool-toned effect reminiscent of clouds being blown by the wind in the sky.

[0076] Regarding the transition between brightness and dynamic effects, for the golden light pulsation effect corresponding to the bird song, at the beginning of the transition, control module 1 first reduces the peak brightness by 5%-8% every 0.8-1 seconds, gradually weakening the golden light pulsation. Within 5-7 seconds, the peak brightness of the pulsation is reduced to 30%-40% of the initial value.

[0077] At the same time, the gradually flowing light and shadow effect begins to appear. Starting from the edge of the light and shadow array 321, it expands towards the center at a rate of 10%-15% per second. For example, a faint, breeze-like dynamic effect is first created at the edge of the light and shadow array 321, then gradually spreads towards the center, covering the entire array within 8-10 seconds. The speed and amplitude of this dynamic effect are also adjusted according to the intensity of the wind; the stronger the wind, the faster and more pronounced the gradual flow.

[0078] Control module 1, through the light and shadow control strategy described above, based on detailed soundscape feature analysis and human perception characteristics to formulate transition rules, comprehensively and meticulously ensures that the light and shadow effects of the internal environment in the yoga meditation space can achieve a smooth and natural transition when the soundscape changes abruptly, providing users with a coherent and immersive meditation experience.

[0079] Combination Figure 1 , Figure 2 and Figure 8As shown, the multi-dimensional environmental response subsystem 32 also includes an airflow and temperature / humidity control device 322, which is installed on the adaptive soundproof wall 31. Multiple high-precision airflow sensors, temperature sensors, and humidity sensors are evenly distributed within the meditation space. These sensors are used to collect subtle changes in environmental parameters within the meditation space in real time and quickly feed the data back to the control module 1. The meditation guidance strategy also includes an airflow and temperature / humidity control strategy, comprising the following steps: S51. When the sound information includes wind noise, the system combines the measured wind speed and direction information within the meditation space to adjust the airflow and the fan speed and blade angle of the temperature and humidity control device. Specifically, when the sound information collected by the natural soundscape acquisition module 2 includes wind noise, the airflow sensor accurately measures key information such as wind speed and direction and transmits it to the control module 1. For example, when the wind noise is loud and rapid, the control module 1 determines that a strong wind needs to be created, controls the fan speed to increase, and adjusts the blade angle to make the airflow more concentrated and faster, simulating the effect of a strong wind howling past; when the wind noise is gentle and soothing, the fan speed is reduced and the blade angle is finely adjusted to deliver a soft and even breeze, just like a gentle breeze in a natural environment.

[0080] S52. When the sound information includes wind noise, the system combines the temperature information measured within the meditation space with the preset soundscape-temperature matching rules in the meditation strategy database to adjust the cooling or heating power of the air conditioning equipment and the temperature and humidity control device. Under different natural wind sounds, the human body's perception and need for temperature also differ. For example, in a situation where the wind is strong and cool, it may be necessary to appropriately lower the temperature of the meditation space to match the coolness of the outside environment; while in a warmer natural soundscape, such as the gentle wind accompanying bright sunshine, the temperature of the meditation space should be maintained in a comfortable, slightly higher range. Thus, the soundscape is associated with temperature regulation, and this is used as the basis for establishing soundscape-temperature matching rules in the meditation strategy database. The temperature of the meditation space is monitored in real time by a temperature sensor, and the data is transmitted to control module 1. Control module 1 controls the air conditioning equipment to adjust the temperature according to the preset soundscape-temperature matching rules and the current soundscape type. For example, assuming the current soundscape wind sound is a summer breeze, the temperature is set to around 26-28 degrees Celsius; assuming the current soundscape wind sound is a winter wind, the temperature is maintained at 20-22 degrees Celsius. During the adjustment process, the cooling or heating power of the air conditioning equipment will be dynamically adjusted according to the difference between the room temperature and the target temperature. PID control algorithms and other control strategies are used to ensure that the temperature can be quickly and stably reached and maintained at the target value, avoiding temperature fluctuations that may cause discomfort to the user.

[0081] S53. When the sound information includes raindrop sounds, the power and spray volume of the humidifier or the power and dehumidification capacity of the dehumidifier are adjusted based on the intensity of the raindrop sounds and the humidity information measured in the meditation space. For example, when the sound information collected by the natural soundscape acquisition module 2 includes raindrop sounds, if the intensity of the raindrop sounds is high, the control module 1 determines that a relatively humid environment should be simulated, and thus starts the humidifier to increase the humidity of the space. The humidifier uses technologies such as ultrasonic oscillation or heating evaporation to convert water into tiny water mists and release them into the meditation space. The control module 1 precisely controls the working power and spray volume of the humidifier based on the intensity of the raindrop sounds, so that the humidity gradually increases and stabilizes at a level that matches the raindrop sounds. For example, the target humidity value corresponding to heavy raindrop sounds may be set at 70%-80%, and the target humidity value corresponding to moderate raindrop sounds is 60%-70%. Conversely, when the raindrop sounds are weak or stop, and the humidity in the meditation space is too high, the dehumidifier is activated. Dehumidifiers use condensation or desiccant to absorb moisture, removing excess water from the air, reducing humidity, and ensuring that humidity remains within a suitable range, keeping pace with changes in the natural environment.

[0082] The airflow and temperature / humidity regulation strategy implemented through the above steps ensures that the various devices of the airflow and temperature / humidity regulation system work together in a coordinated and precise manner throughout the entire process. Guided by natural soundscapes, it provides users with a comprehensive, immersive, and comfortable environment, making them feel as if they are in a real natural scene during meditation, thus providing users with a deeply immersive meditation experience.

[0083] Combination Figure 1 , Figure 2 and Figure 9 As shown, the multidimensional environmental response subsystem 32 also includes a haptic feedback floor, which integrates multiple micro-vibration devices 323. The meditation guidance strategy also includes a haptic adjustment strategy, comprising the following steps: S61. Based on the analysis results of the intensity, frequency, and rhythm characteristics in the sound information, adjust the vibration frequency and amplitude of the micro-vibration device. For example, for simulating the tactile sensation of raindrops falling, when the sound information collected by the natural soundscape acquisition module 2 contains low-frequency signals corresponding to the raindrop sound, the control module 1 extracts key characteristic information such as the intensity, frequency, and rhythm of the raindrop sound, accurately converts these sound signals into electrical signals that drive the micro-vibration device 323, and adjusts the vibration characteristics of the micro-vibration device 323 according to the intensity and rhythm of the raindrop sound.

[0084] If it is a large raindrop sound, the sound intensity is high and the frequency is relatively high. The control module 1 increases the amplitude of the drive electrical signal, so that the micro vibration device 323 generates a strong and high-frequency vibration, simulating the relatively strong and fast touch of a large raindrop falling. If it is a small raindrop sound, the sound intensity is weak and the frequency is low. The electrical signal amplitude is reduced accordingly, so that the micro vibration device 323 generates a weak and low-frequency vibration, allowing the user to feel the soft and fine touch of raindrops.

[0085] When simulating the feeling of a gentle breeze, the control module 1 controls the drive micro-vibration device 323 to generate gentle and slowly changing vibrations. Based on the characteristics of the sound signal of a gentle breeze, the control module 1 outputs a relatively stable and low-frequency electrical signal, causing the drive micro-vibration device 323 to vibrate at a low frequency and a small amplitude, as if a gentle breeze is lightly brushing against the skin, bringing the user a delicate and soothing tactile sensation.

[0086] S62. Based on the real-time pressure information of a certain area of ​​the haptic feedback floor, the vibration frequency and amplitude of the micro-vibration device in that area are dynamically adjusted. Multiple pressure sensors are evenly distributed on the haptic feedback floor. When the sensors detect that the user applies greater pressure in a certain area, the control module 1 can enhance the vibration intensity of the micro-vibration device 323 in that area to ensure that the user can obtain a comfortable and clear haptic experience even under different body postures and pressure distributions.

[0087] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, or indirect coupling or communication connection between apparatuses or units, and may be electrical, mechanical, or other forms.

[0088] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated units described above can be implemented in hardware or as software functional units. The above are merely embodiments of this application and do not limit the patent scope of this application. Any equivalent structural or procedural transformations made based on the description and drawings of this application, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

[0089] The specific embodiments of the invention have been described in detail above, but they are only examples, and this application is not limited to the specific embodiments described above. For those skilled in the art, any equivalent modifications or substitutions to the invention are also within the scope of this application. Therefore, all equivalent changes, modifications, and improvements made without departing from the spirit and principles of this application should be covered within the scope of this application.

Claims

1. A yoga meditation space control system based on real-time linkage with natural soundscapes, characterized in that, include: The module includes a control module, a natural soundscape acquisition module, and a meditation guidance module, among which: The natural soundscape acquisition module is used to acquire sound information from the natural environment in real time and send it to the control module; The control module is used to extract and analyze the sound information, and retrieve and match the corresponding meditation guidance strategy in the preset meditation strategy database according to the analysis results, and send it to the meditation guidance module. The meditation guidance module includes an adaptive soundproof wall and a multi-dimensional environmental response subsystem, wherein: The adaptive soundproof wall encloses the meditation space, which is used to selectively allow natural sounds of specific frequencies to penetrate according to the sound penetration strategy in the meditation guidance strategy, thereby creating a sound environment that echoes the natural soundscape. The multidimensional environmental response subsystem includes a light and shadow array, which comprises independently controllable light sources densely distributed on the adaptive soundproof wall, for creating a light and shadow environment that echoes the natural soundscape according to the light and shadow control strategy in the meditation guidance strategy.

2. The yoga meditation space control system based on real-time linkage with natural soundscapes as described in claim 1, characterized in that, The control module performs feature extraction and analysis on the sound information, including: The sound information is filtered to remove noise and the signal is amplified to increase the signal strength, thereby improving the quality of the sound signal; The sound signal is subjected to spectral analysis to obtain its spectral characteristics, and the intensity, frequency distribution, and rhythm characteristics of the sound are obtained through these spectral characteristics. The extracted sound features are classified and identified using machine learning classification algorithms to accurately identify the sound type of the sound information.

3. The yoga meditation space control system based on real-time linkage with natural soundscapes as described in claim 2, characterized in that, The control module performs feature extraction and analysis on the sound information, including: The time-domain features of the sound signal are converted into frequency-domain features by using Fast Fourier Transform to obtain the spectral features of the sound signal. By analyzing the frequency component information in the spectral characteristics, the main frequencies, frequency bandwidth, and frequency centroid in the frequency distribution are determined. The intensity of the sound signal is calculated by measuring the amplitude of each frequency component in the spectral characteristics. The rhythm features are extracted by performing time-domain analysis on the spectral features to find periodic change patterns in specific frequencies within the spectral features.

4. The yoga meditation space control system based on real-time linkage with natural soundscapes as described in claim 1, characterized in that, The establishment of the meditation database includes: The effects of different natural soundscapes on human psychological and physiological states were quantitatively analyzed using physiological monitoring equipment, including: The changes in the sound feature parameters of different natural soundscapes on the electroencephalogram (EEG), electrocardiogram (ECG), and skin conductance parameters of the human body were analyzed, and the mapping relationship between the sound feature parameters and the EEG, ECG, and skin conductance parameters was established one by one, and the mapping data was collected. By combining yoga meditation theory with the collected mapping data, meditation type matching is performed to establish a meditation database that corresponds to natural soundscapes and meditation types.

5. The yoga meditation space control system based on real-time linkage with natural soundscapes as described in claim 1, characterized in that, The wall material of the adaptive soundproof wall is an electrochromic material, and the sound penetration strategy includes: In the initial stage of meditation, when the analysis result of the sound information is ambient noise, the ambient noise is blocked by controlling the increase of the voltage applied to the adaptive sound barrier and reducing the sound transmission rate of the adaptive sound barrier. When the analysis result of the sound information is suitable for a natural soundscape that is linked with the meditation space, the voltage value applied to the adaptive soundproof wall is accurately calculated according to the frequency, intensity and type of the sound information, so as to selectively allow natural sounds of specific frequencies to penetrate and create a sound environment that echoes the natural soundscape.

6. The yoga meditation space control system based on real-time linkage with natural soundscape as described in claim 1 or 5, characterized in that, The sound penetration strategy also includes: When the analysis result of the sound information indicates a sudden change in the natural soundscape, the rate of change of the voltage applied to the adaptive sound barrier is calculated based on the frequency range, intensity change, and rhythm change of the sound information of the soundscape before and after the change, and the sound transmittance of the adaptive sound barrier is dynamically adjusted.

7. The yoga meditation space control system based on real-time linkage with natural soundscapes as described in claim 1, characterized in that, The light and shadow control strategy includes: Based on the analysis results of the rhythmic feature information in the sound information, the light and shadow array is dynamically controlled according to the preset soundscape-light and shadow mapping rules of the meditation strategy database, including: The rhythmic feature information is converted into a corresponding time series signal through a second algorithm, which is used to control the frequency and amplitude of the brightness change of the light source; Based on the rhythmic feature information, the brightness ratios of the red, green, and blue primary colors of the light source are accurately calculated; The overall brightness and color of the light and shadow array are adaptively adjusted based on the intensity and color information of the ambient light within the meditation space.

8. The yoga meditation space control system based on real-time linkage with natural soundscape as described in claim 1 or 7, characterized in that, The light and shadow control strategy also includes: When the analysis result of the sound information indicates a sudden change in the natural soundscape, the color mixing rate and brightness change rate of the light source are dynamically adjusted so that the light and shadow array can adaptively adjust the light and shadow environment of the meditation space when the soundscape changes.

9. The yoga meditation space control system based on real-time linkage with natural soundscapes as described in claim 1, characterized in that, The multidimensional environmental response subsystem also includes airflow and temperature / humidity control devices, and the meditation guidance strategy also includes airflow and temperature / humidity control strategies, including: When the sound information includes wind noise, the speed and blade angle of the airflow and the fan of the temperature and humidity control device are adjusted in combination with the measured wind speed and wind direction information within the meditation space. When the sound information includes the sound of wind, the cooling or heating power of the airflow and the air conditioning equipment of the temperature and humidity control device is adjusted according to the soundscape-temperature matching rules preset in the meditation space, combined with the temperature information measured in the meditation space. When the sound information includes the sound of raindrops, the power and spray volume of the humidifier of the airflow and temperature and humidity regulating device, or the power and dehumidification volume of the dehumidifier, are adjusted according to the intensity information of the raindrop sound and the humidity information measured in the meditation space.

10. The yoga meditation space control system based on real-time linkage with natural soundscapes according to claim 1, characterized in that, The multidimensional environmental response subsystem also includes a haptic feedback floor, which integrates multiple micro-vibration devices. The meditation guidance strategy also includes a haptic modulation strategy, comprising: Based on the analysis results of the intensity, frequency, and rhythm characteristics in the sound information, the vibration frequency and amplitude of the micro-vibration device are adjusted. Based on the real-time measurement of pressure information in a certain area of ​​the tactile feedback floor, the vibration frequency and amplitude of the micro-vibration device in that area are dynamically adjusted.

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