Intelligent sound box global sound field amplification method and system based on Bluetooth chip

Abstract

The invention relates to a sound field analysis technology, and discloses an intelligent sound box global sound field amplification method and system based on a Bluetooth chip, and the method comprises the steps: obtaining the position information of each intelligent sound box in a preset site based on the Bluetooth chip, carrying out the three-dimensional modeling of the preset site according to the position information, and obtaining a sound field distribution initial model, sound wave reflection analysis is carried out on the initial sound field distribution model to obtain a final sound field distribution model, sound field uniformity analysis is carried out on the final sound field distribution model to obtain a uniformity analysis result, and volume adjustment parameters of the intelligent loudspeaker box are generated based on the uniformity analysis result. And mapping distance data between each intelligent sound box and the user according to the position data of the user by using the final sound field distribution model, correcting the adjustment parameters in real time according to the distance data to obtain corrected parameters, and performing real-time sound amplification adjustment on the intelligent sound boxes according to the corrected parameters by using the Bluetooth chip. The sound field amplification control efficiency of the intelligent sound box can be improved, and the user experience can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of sound field analysis, and particularly to an intelligent speaker global sound field amplification method and system based on a Bluetooth chip. Background Art

[0002] With the wide application of intelligent speakers in scenarios such as homes, meeting rooms, and public venues, users' demands for the uniformity of sound field coverage and dynamic adaptability are increasing day by day.

[0003] However, the sound field amplification solutions of traditional intelligent speakers have obvious limitations. They usually adopt fixed volume output or simple distance attenuation adjustment strategies. This simple and crude method is ineffective in the face of complex site environments. In the actual environment, sound waves are affected by various physical properties, such as sound wave reflection and material absorption. Different site structures, such as the walls and furniture in a room, the ceiling and floor in a meeting room, the columns and decorative materials in a public venue, etc., will reflect the sound waves during propagation, resulting in complex reflection paths of sound waves in space and uneven sound field distribution. Moreover, various materials, such as wood, glass, metal, fabric, etc., have different sound absorption capabilities. Some materials will absorb a large amount of sound, causing the sound to decay rapidly during propagation, while some materials reflect more, easily generating echoes and reverberations, and the volume also decays with distance. This leads to problems such as over-loud near fields and inaudible far fields in actual use. The volume of the speakers farther from the user is too small, and the volume of the speakers closer to the user is too large, affecting the user experience. In addition, in addition to the problems of a single speaker itself, the device cooperation ability among multiple existing intelligent speakers is also insufficient. In scenarios where multiple speakers need to work together, such as large meeting rooms and spacious public venues, the traditional solutions cannot achieve distributed dynamic adjustment of the speaker volume. This is because the existing cooperation mechanisms are defective, and the information transmission and processing between speakers are not efficient enough, resulting in high adjustment delays and poor synchronization. When the environment changes and the volume needs to be adjusted, each speaker cannot respond in a timely and accurate manner, unable to meet the real-time requirements of the global sound field. For example, in a large shopping mall, when the population density changes and the volume of the speakers in each area needs to be adjusted, the traditional solutions may result in some speakers having been adjusted while other speakers have not responded, leading to a chaotic sound field in the entire shopping mall and unable to achieve the ideal effect. Summary of the Invention

[0004] The present invention provides an intelligent speaker global sound field amplification method and system based on a Bluetooth chip, and its main purpose is to solve the problems of low efficiency and poor user experience of the existing intelligent speaker sound field amplification solutions.

[0005] To achieve the above object, a method for global sound field amplification of a smart speaker based on a Bluetooth chip provided by the present invention includes: Obtain the position information of each smart speaker in a preset venue based on the preset Bluetooth chip in the smart speaker; Perform three-dimensional modeling on the preset venue according to the position information to obtain an initial sound field distribution model; Perform sound wave reflection analysis on the initial sound field distribution model to obtain a final sound field distribution model; Perform sound field uniformity analysis on the final sound field distribution model to obtain a uniformity analysis result, generate volume adjustment parameters for each smart speaker based on the uniformity analysis result, and obtain an adjustment parameter set; Real-time obtain the position data of the user in the preset venue, and use the final sound field distribution model to map the distance data between each smart speaker and the user according to the position data; According to the distance data, perform real-time correction on the adjustment parameter set to obtain a corrected parameter set, and use the Bluetooth chip to perform real-time amplification adjustment on each smart speaker according to the corrected parameter set.

[0006] Optionally, the obtaining the position information of each smart speaker in the preset venue based on the preset Bluetooth chip in the smart speaker includes: Obtain distance data between the Bluetooth chip in each smart speaker and a preset master device based on wireless communication to obtain a distance data set; Obtain angle data between the Bluetooth chip in each smart speaker and a preset master device based on wireless communication to obtain an angle data set; Obtain the initialization position data of the master device; Calculate the position information of each smart speaker in the preset venue according to the distance data set, the angle data set, and the initialization position data.

[0007] Optionally, the performing three-dimensional modeling on the preset venue according to the position information to obtain an initial sound field distribution model includes: Obtain the three-dimensional point cloud data of the preset venue; Establish a three-dimensional venue model according to the three-dimensional point cloud data; Obtain the material recognition results of all objects in the preset venue; Obtain the sound wave reflectivity corresponding to all materials in the material recognition results based on a preset database; Bind the sound wave reflectivity to the three-dimensional venue model according to the material recognition results to obtain a three-dimensional sound field model; Set a smart speaker model in the three-dimensional sound field model according to the position information to obtain an initial sound field distribution model.

[0008] Optionally, the acoustic wave reflection analysis of the initial sound field distribution model includes: Performing acoustic wave mapping on the model corresponding to each smart speaker in the initial sound field distribution model based on a preset acoustic wave intensity and the sound amplification orientation data included in the position information to obtain an acoustic wave distribution model; Identifying the object where each mapped acoustic wave first collides in the acoustic wave distribution model to obtain a collision object recognition result; Obtaining the acoustic wave reflectivity of each collision object in the collision object recognition result, and calculating the reflected acoustic wave intensity of each acoustic wave according to the acoustic wave reflectivity; Performing reflected acoustic wave mapping on each mapped acoustic wave in the acoustic wave distribution model based on the reflected acoustic wave intensity and the collision object recognition result to obtain a final sound field distribution model.

[0009] Optionally, the analysis of the uniformity of the sound field of the final sound field distribution model to obtain a uniformity analysis result includes: Dividing the final sound field distribution model into multiple grid blocks of the same size according to a preset grid size; Identifying the transmitted acoustic waves and the reflected acoustic waves in each grid block; Calculating the acoustic wave energy intensity of each grid block according to the transmitted acoustic waves and the reflected acoustic waves in each grid block; Performing normalization processing on the acoustic wave energy intensity of each grid block to obtain a normalized acoustic wave energy intensity; Summarizing the normalized acoustic wave energy intensities of each grid block to obtain the uniformity analysis result.

[0010] Optionally, the calculation of the acoustic wave energy intensity of each grid block according to the transmitted acoustic waves and the reflected acoustic waves in each grid block includes: Obtaining the acoustic wave reflectivity of the collision object corresponding to each reflected acoustic wave; Calculating the reflected acoustic wave intensity based on the acoustic wave reflectivity and a preset standard acoustic wave intensity; Calculating the coverage area of each transmitted acoustic wave in the grid block; Calculating the coverage area of each reflected acoustic wave in the grid block; Multiplying the coverage area corresponding to all the reflected acoustic waves in the grid block by the reflected acoustic wave intensity to obtain the reflected acoustic wave intensity of each reflected acoustic wave, and summing the reflected acoustic wave intensities of the reflected acoustic waves in the same grid block to obtain the total reflected acoustic wave intensity; Multiply the coverage area corresponding to all the reflected sound waves of the grid block by the standard sound wave intensity to obtain the transmitted sound wave intensity of each transmitted sound wave, and sum up the transmitted sound wave intensities of all the transmitted sound waves within the same grid block to obtain the total intensity of the reflected sound waves; Sum up the total intensity of the reflected sound waves and the total intensity of the reflected sound waves to obtain the sound wave energy intensity.

[0011] Optionally, the mapping of the distance data between each smart speaker and the user according to the position data by using the final sound field distribution model includes: Establish a two-dimensional coordinate system of the preset site with a preset master device as the coordinate origin; Obtain and identify the coordinate data of each smart speaker in the two-dimensional coordinate system according to the position information to obtain the coordinate data; Identify the coordinate data of the user in the two-dimensional coordinate system according to the position data to obtain the user coordinate data; Calculate the distance data between each speaker and the user based on the coordinate data and the user coordinate data using trigonometric functions.

[0012] Optionally, the real-time correction of the adjustment parameter set according to the distance data to obtain the corrected parameter set includes: Obtain the frequency parameter of the audio played by the smart speaker in real time, and obtain the humidity data and temperature data of the preset site in real time; Calculate the distance attenuation coefficient based on the frequency parameter, the humidity data, and the temperature data; Calculate the volume attenuation amount of each smart speaker according to the distance attenuation coefficient and the distance data; Calculate the volume adjustment amount according to the distance attenuation coefficient and the volume attenuation amount; Based on the volume adjustment amount, perform real-time correction on the adjustment parameter set to obtain the corrected parameter set.

[0013] Optionally, the calculation of the distance attenuation coefficient based on the frequency parameter, the humidity data, and the temperature data includes: Calculate the difference between the temperature data and the preset reference temperature to obtain the temperature difference; Multiply the temperature difference by the preset sound speed correction parameter and add the preset standard sound speed to obtain the sound speed correction term; Calculate the negative value of the ratio of the frequency parameter to the preset characteristic frequency to obtain the exponential term; Perform exponential operation on the base of the natural logarithm based on the exponential term and multiply it by the humidity data to obtain the product term; Multiply the sum of the product term and a preset constant by the sound speed correction term to obtain a frequency-humidity correction term; Add the ratio of the absolute value of the temperature difference to the reference temperature to a preset constant to obtain a temperature correction term; Calculate the ratio of the square of the frequency parameter to the frequency-humidity correction term and then multiply it by the temperature correction term to obtain a distance attenuation coefficient.

[0014] To solve the above problems, the present invention also provides an intelligent speaker global sound field amplification system based on a Bluetooth chip, and the system includes: A data acquisition module, configured to obtain the position information of each intelligent speaker in a preset venue based on a preset Bluetooth chip in the intelligent speaker; A three-dimensional modeling module, configured to perform three-dimensional modeling on the preset venue according to the position information to obtain an initial sound field distribution model; A sound field analysis module, configured to perform acoustic wave reflection analysis on the initial sound field distribution model to obtain a final sound field distribution model, perform sound field uniformity analysis on the final sound field distribution model to obtain a uniformity analysis result, and generate volume adjustment parameters for each intelligent speaker based on the uniformity analysis result to obtain an adjustment parameter set; A distance mapping module, configured to obtain the position data of the user in the preset venue in real time, and map the distance data between each intelligent speaker and the user according to the position data by using the final sound field distribution model; An amplification adjustment module, configured to correct the adjustment parameter set in real time according to the distance data to obtain a corrected parameter set, and perform real-time amplification adjustment on each intelligent speaker according to the corrected parameter set by using the Bluetooth chip.

[0015] In the embodiments of the present invention, the preset Bluetooth chip in the smart speaker is used to obtain the position information of each smart speaker in the preset venue in real time, and a high-precision three-dimensional coordinate system is constructed; based on this position information, an initial sound field distribution model is built, and through acoustic wave reflection analysis and iterative solution of the Helmholtz equation, a final sound field distribution model including parameters such as reflection paths and reverberation time is generated; the spatial sound intensity distribution of this model is simulated and the uniformity is analyzed, a uniformity evaluation system based on Legendre polynomials is constructed, and an initial volume adjustment parameter set for each smart speaker is generated; at the same time, the dynamic coordinates of the user in the venue are obtained through the user position real-time tracking system, and combined with the acoustic wave attenuation model and the inverse square law of distance, the initial adjustment parameters are dynamically corrected in real time; finally, the real-time amplification adjustment of the smart speaker is realized through the Bluetooth chip, forming a closed-loop control system of "position perception - sound field modeling - parameter correction - dynamic adjustment". This solution effectively improves the sound field coverage uniformity through multi-physical field coupling modeling and real-time data-driven intelligent optimization algorithms, reduces the system power consumption while ensuring the sound quality, and realizes the intelligence and precision of sound field regulation in complex environments. Therefore, the smart speaker global sound field amplification method and system based on Bluetooth chip proposed by the present invention can solve the problems of low efficiency and poor user experience of the existing sound field amplification solutions for smart speakers. Brief Description of the Drawings

[0016] Figure 1 It is a schematic flowchart of the smart speaker global sound field amplification method based on Bluetooth chip provided by an embodiment of the present invention; Figure 2 It is a functional module diagram of the smart speaker global sound field amplification system based on Bluetooth chip provided by an embodiment of the present invention.

[0017] The realization, functional features and advantages of the object of the present invention will be further described in conjunction with the embodiments with reference to the drawings. Detailed Embodiments

[0018] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0019] An embodiment of the present application provides a method for omnidirectional sound field amplification of an intelligent speaker based on a Bluetooth chip. The execution subject of the method for omnidirectional sound field amplification of the intelligent speaker based on the Bluetooth chip includes, but is not limited to, at least one of electronic devices such as a server, a terminal, etc. that can be configured to execute the method provided by the embodiment of the present application. In other words, the method for omnidirectional sound field amplification of the intelligent speaker based on the Bluetooth chip can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes, but is not limited to: a single server, a server cluster, a cloud server, or a cloud server cluster, etc. The server can be an independent server or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, Content Delivery Network (CDN), and big data and artificial intelligence platforms.

[0020] Referring to Figure 1 As shown, it is a schematic flowchart of a method for omnidirectional sound field amplification of an intelligent speaker based on a Bluetooth chip provided by an embodiment of the present invention. In this embodiment, the method for omnidirectional sound field amplification of the intelligent speaker based on the Bluetooth chip includes: S1. Obtain the position information of each intelligent speaker in a preset venue based on a preset Bluetooth chip in the intelligent speaker.

[0021] In the embodiment of the present invention, obtaining the position information of each intelligent speaker in a preset venue based on a preset Bluetooth chip in the intelligent speaker is to use the Bluetooth chip to perform wireless communication with a preset master device, and obtain the distance data and angle data between the Bluetooth chip and the master device based on the wireless communication.

[0022] In the embodiment of the present invention, the Bluetooth chip supports the Angle of Arrival (AoA) or Angle of Departure (AoD) function.

[0023] Specifically, the Angle of Arrival (AoA) refers to the angle when a wireless signal arrives at a receiving antenna array. The Angle of Departure (AoD) refers to the angle when a wireless signal departs from a transmitting antenna array. A Bluetooth chip that supports these two functions can use information such as the phase difference of the signal to determine the direction of the signal.

[0024] Further, for AoA, the chip receives signals through a built-in multi-antenna array. When signals arrive at each antenna from different directions, due to different path lengths, there will be a phase difference in the signals at each antenna. The chip analyzes these phase differences to calculate the angle of arrival of the signals. Similarly, for AoD, at the signal transmitting end, by controlling parameters such as the phase of the signals transmitted by different antennas, the receiving end can determine the departure angle of the signals based on the characteristics of the received signals.

[0025] In the embodiments of the present invention, obtaining the position information of each smart speaker in a preset venue based on the preset Bluetooth chip in the smart speaker includes: Obtaining distance data of the Bluetooth chip in each smart speaker and a preset master device based on wireless communication to obtain a distance data set; Obtaining angle data of the Bluetooth chip in each smart speaker and a preset master device based on wireless communication to obtain an angle data set; Obtaining the initialization position data of the master device; Calculating the position information of each smart speaker in the preset venue according to the distance data set, the angle data set, and the initialization position data.

[0026] In the embodiments of the present invention, the initialization position data of the master device may be a coordinate 0 point position data.

[0027] In the embodiments of the present invention, calculating the position information of each smart speaker in the preset venue according to the distance data set, the angle data set, and the initialization position data is to establish a two-dimensional coordinate system, use the initialization position data of the master device as the coordinate zero point, map the position of each smart speaker to the two-dimensional coordinate system based on the distance data set and the angle data set, and then convert the mapped position into two-dimensional coordinates.

[0028] Specifically, the position information may be two-dimensional coordinate data.

[0029] In the embodiments of the present invention, calculating the position information of each smart speaker in the preset venue according to the distance data set, the angle data set, and the initialization position data may calculate the position information of each smart speaker in the preset venue based on trigonometric functions according to the distance data set, the angle data set, and the initialization position data.

[0030] In the embodiments of the present invention, by using the Bluetooth chip of each smart speaker for communication, the accuracy of obtaining the position information of the smart speaker can be improved, the power consumption of communication can be reduced, the latency of communication can be reduced, the communication efficiency can be improved, and the anti-interference ability of the smart speaker during communication can be improved.

[0031] In the embodiments of the present invention, by obtaining the position information of each smart speaker in a preset venue based on a preset Bluetooth chip in the smart speaker, the accuracy of obtaining the position information of the smart speaker can be improved, and the accuracy of establishing an initial sound field distribution model subsequently can be improved.

[0032] S2. Perform three-dimensional modeling on the preset venue according to the position information to obtain an initial sound field distribution model.

[0033] In the embodiments of the present invention, the position information includes the sound amplification orientation data of each smart speaker.

[0034] In the embodiments of the present invention, the performing three-dimensional modeling on the preset venue according to the position information to obtain an initial sound field distribution model includes: Obtain the three-dimensional point cloud data of the preset venue; Establish a three-dimensional model of the venue according to the three-dimensional point cloud data; Obtain the material recognition results of all objects in the preset venue; Obtain the sound wave reflectivity corresponding to all materials in the material recognition results based on a preset database; Bind the sound wave reflectivity to the three-dimensional model of the venue according to the material recognition results to obtain a three-dimensional sound field model; Set a smart speaker model in the three-dimensional sound field model according to the position information to obtain an initial sound field distribution model.

[0035] Specifically, the three-dimensional point cloud data is a set of spatial points collected by devices such as lidar and vision sensors. Each point contains three-dimensional coordinates (X, Y, Z) and is used to construct a three-dimensional geometric model of the venue.

[0036] Specifically, the sound wave reflectivity refers to the reflection ability of an object's material to sound waves (for example, concrete has a high reflectivity and sound-absorbing cotton has a low reflectivity). By obtaining the sound wave reflectivity, the subsequent calculation of the sound field distribution can be improved.

[0037] In the embodiments of the present invention, the obtaining the sound wave reflectivity corresponding to all materials in the material recognition results based on a preset database is to obtain the sound wave reflectivity corresponding to all materials in the preset database based on the material recognition results.

[0038] In the embodiments of the present invention, the obtaining the material recognition results of all objects in the preset venue may be to perform material recognition on the image of each collision object through a pre-trained neural network model to obtain the material recognition results.

[0039] Specifically, to obtain the material recognition results of all objects in the preset venue, image acquisition devices (such as fixed cameras) deployed in the preset venue can be used to collect images of various objects in the venue (including walls, floors, furniture, decorative structures, etc.) from multiple perspectives and under multiple lighting conditions to ensure coverage of the typical feature areas of the objects (such as textures, surface details); secondly, the collected original images are input into a pre-trained neural network model for processing. This model can adopt classical architectures based on convolutional neural networks (CNNs) (such as ResNet, EfficientNet) or emerging architectures such as Vision Transformer (ViT). Its pre-training stage is initialized based on a large-scale material image dataset (such as training samples containing common material categories such as wood, metal, concrete, glass, textiles, etc. or custom extended datasets) and already has basic material feature extraction and classification capabilities; to further adapt to the specific scenarios of the current preset venue (such as an indoor concert hall, meeting room or outdoor square), the pre-trained model can be fine-tuned and optimized: by collecting labeled images of some typical objects in the venue (the labeled content includes material categories and confidence thresholds), the parameters of the fully connected layer or attention mechanism layer of the model are adjusted using transfer learning techniques to improve its recognition accuracy for specific materials in the venue (such as acoustic panels, marble, etc.); in the inference stage, the model preprocesses the input image (including operations such as normalization, size unification, noise filtering, etc.), extracts the local texture, edge contour and global context information of the image through the feature extraction layer, and then outputs the probability distribution of each candidate material category through the classification layer; finally, the final material recognition results of each object are determined through a post-processing module (such as taking the category with the highest confidence, multi-frame image voting mechanism or confidence threshold screening), and the output form can be structured data of "object ID - material category - confidence" to provide accurate material information support for subsequent binding of sound wave reflectivity. This method combines the generalization ability of the pre-trained model with the specificity optimization of scene fine-tuning, which can not only reduce the model training cost but also ensure the material recognition accuracy in complex venue environments.

[0040] S3. Perform sound wave reflection analysis on the initial sound field distribution model to obtain the final sound field distribution model.

[0041] In the embodiment of the present invention, the final sound field distribution model is a virtual acoustic environment constructed based on the venue structure and material acoustic properties (reflectivity).

[0042] In the embodiment of the present invention, the performing sound wave reflection analysis on the initial sound field distribution model refers to analyzing and mapping the reflection of sound waves in the initial sound field distribution model.

[0043] In the embodiment of the present invention, the performing sound wave reflection analysis on the initial sound field distribution model includes: Perform acoustic wave mapping on the model corresponding to each smart speaker in the initial sound field distribution model based on a preset acoustic wave intensity and the sound amplification orientation data included in the position information to obtain an acoustic wave distribution model; Identify the object that each mapped acoustic wave in the acoustic wave distribution model first collides with to obtain a collision object recognition result; Obtain the acoustic wave reflectivity of each collision object in the collision object recognition result, and calculate the reflected acoustic wave intensity of each acoustic wave according to the acoustic wave reflectivity; Perform reflected acoustic wave mapping on each mapped acoustic wave in the acoustic wave distribution model based on the reflected acoustic wave intensity and the collision object recognition result to obtain a final sound field distribution model.

[0044] Specifically, when performing acoustic wave mapping on the model corresponding to each smart speaker in the initial sound field distribution model based on a preset acoustic wave intensity and the sound amplification orientation data included in the position information, taking the preset standard acoustic wave intensity as a benchmark and combining the sound amplification orientation data of the speaker, virtual acoustic wave beams are generated for each speaker in the initial sound field distribution model. These acoustic wave beams propagate outward in a set direction and intensity to form an initial acoustic wave distribution model (intuitively manifested as a ray-like propagation path starting from the speaker).

[0045] Specifically, when identifying the object that each mapped acoustic wave in the acoustic wave distribution model first collides with, based on the acoustic wave distribution model, the first collision point of each acoustic wave beam in the propagation path is identified through geometric calculations (such as ray tracing algorithm).

[0046] Specifically, when obtaining the acoustic wave reflectivity of each collision object in the collision object recognition result and calculating the reflected acoustic wave intensity of each acoustic wave according to the acoustic wave reflectivity, the acoustic wave reflectivity bound to it is obtained from the initial sound field model based on the collision object recognition result (such as the concrete reflectivity is 90%). Based on the reflectivity, the original acoustic wave intensity will be attenuated proportionally (for example, an acoustic wave with an incident intensity of 80dB, the intensity after reflection is 80dB×90% = 72dB).

[0047] In the embodiment of the present invention, by performing an analysis of acoustic wave reflection on the initial sound field distribution model to obtain a final sound field distribution model, the analysis of acoustic wave reflection in the initial sound field distribution model is realized, and the accuracy of subsequent sound field uniformity analysis is improved.

[0048] S4. Perform a sound field uniformity analysis on the final sound field distribution model to obtain a uniformity analysis result, and generate a volume adjustment parameter for each smart speaker based on the uniformity analysis result to obtain an adjustment parameter set.

[0049] In the embodiments of the present invention, the analysis of the sound field uniformity of the final sound field distribution model refers to the analysis of the uniformity of the distribution of the sound wave energy in the final sound field distribution model.

[0050] In the embodiments of the present invention, the analysis of the sound field uniformity of the final sound field distribution model to obtain the sound field uniformity analysis result includes: Dividing the final sound field distribution model into a plurality of grid blocks of the same size according to a preset grid size; Identifying the emitted sound waves and the reflected sound waves in each grid block; Calculating the sound wave energy intensity of each grid block according to the emitted sound waves and the reflected sound waves in each grid block; Normalizing the sound wave energy intensity of each grid block to obtain the normalized sound wave energy intensity; Summarizing the normalized sound wave energy intensities of each grid block to obtain the sound field uniformity analysis result.

[0051] Specifically, the identification of the emitted sound waves and the reflected sound waves in each grid block is to determine the sound wave sources in each grid block and distinguish the emitted sound waves directly from the speakers and the reflected sound waves reflected by the objects.

[0052] In the embodiments of the present invention, calculating the sound wave energy intensity of each grid block according to the emitted sound waves and the reflected sound waves in each grid block includes: Obtaining the sound wave reflectivity of the collision object corresponding to each reflected sound wave; Calculating the reflected sound wave intensity based on the sound wave reflectivity and a preset standard sound wave intensity; Calculating the coverage area of each emitted sound wave in the grid block; Calculating the coverage area of each reflected sound wave in the grid block; Multiplying the coverage area corresponding to all the reflected sound waves in the grid block by the reflected sound wave intensity to obtain the reflected sound wave intensity of each reflected sound wave, and summing the reflected sound wave intensities of the reflected sound waves in the same grid block to obtain the total reflected sound wave intensity; Multiplying the coverage area corresponding to all the reflected sound waves in the grid block by the standard sound wave intensity to obtain the emitted sound wave intensity of each emitted sound wave, and summing the emitted sound wave intensities of all the emitted sound waves in the same grid block to obtain the total emitted sound wave intensity; Summing the total reflected sound wave intensity and the total emitted sound wave intensity to obtain the sound wave energy intensity.

[0053] In an embodiment of the present invention, generating the volume adjustment parameter for each smart speaker based on the uniformity analysis result is achieved by setting a threshold for the acoustic wave energy intensity. For grid blocks where the acoustic wave energy intensity is greater than the threshold, a volume reduction parameter is set for the corresponding smart speaker, and the magnitude of the parameter is related to the amount by which the acoustic wave energy intensity exceeds the threshold. The greater the amount by which the acoustic wave energy intensity exceeds the threshold, the greater the volume reduction parameter. Similarly, for grid blocks where the acoustic wave energy intensity is less than the threshold, a volume increase parameter is set for the corresponding smart speaker, and the magnitude of the parameter is related to the difference between the acoustic wave energy intensity and the threshold. The greater the difference, the greater the volume increase parameter.

[0054] In an embodiment of the present invention, by performing acoustic field uniformity analysis on the final acoustic field distribution model to obtain the uniformity analysis result, and generating the volume adjustment parameter for each smart speaker based on the uniformity analysis result to obtain the adjustment parameter set, the uniformity of the acoustic wave energy of the final acoustic field distribution model can be improved.

[0055] S5. Real-time obtain the position data of the user in the preset venue, and use the final acoustic field distribution model to map the distance data between each smart speaker and the user according to the position data.

[0056] In an embodiment of the present invention, the real-time obtaining of the position data of the user in the preset venue may be to perform real-time communication between the main control device and the wireless sensor worn by the user to obtain the position data of the user.

[0057] In an embodiment of the present invention, the mapping of the distance data between each smart speaker and the user according to the position data by using the final acoustic field distribution model includes: Establish a two-dimensional coordinate system of the preset venue with the preset main control device as the coordinate origin; Obtain and identify the coordinate data of each smart speaker in the two-dimensional coordinate system according to the position information to obtain the coordinate data; Identify the coordinate data of the user in the two-dimensional coordinate system according to the position data to obtain the user coordinate data; Calculate the distance data between each speaker and the user based on the coordinate data and the user coordinate data using trigonometric functions.

[0058] In an embodiment of the present invention, by real-time obtaining the position data of the user in the preset venue, the efficiency of calculating the distance data between each smart speaker and the user can be improved. By using the final acoustic field distribution model to map the distance data between each smart speaker and the user according to the position data, the efficiency of subsequently performing real-time correction on the adjustment parameter set according to the distance data can be improved.

[0059] S6. Based on the distance data, perform real-time correction on the set of adjustment parameters to obtain a set of corrected parameters, and use the Bluetooth chip to perform real-time amplification adjustment on each smart speaker according to the set of corrected parameters.

[0060] In the embodiment of the present invention, the real-time correction of the set of adjustment parameters according to the distance data is to enable the volume of each smart speaker to be adjusted in real time according to the user's distance, so as to achieve the effect that the volume of the audio heard by the user in each direction is the same, and improve the user experience.

[0061] In the embodiment of the present invention, the real-time correction of the set of adjustment parameters according to the distance data to obtain a set of corrected parameters includes: Real-time obtain the frequency parameters of the audio played by the smart speaker, and real-time obtain the humidity data and temperature data of the preset venue; Calculate the distance attenuation coefficient based on the frequency parameters, the humidity data, and the temperature data; Calculate the volume attenuation amount of each smart speaker according to the distance attenuation coefficient and the distance data; Calculate the volume adjustment amount according to the distance attenuation coefficient and the volume attenuation amount; Based on the volume adjustment amount, perform real-time correction on the set of adjustment parameters to obtain a set of corrected parameters.

[0062] In the embodiment of the present invention, the distance attenuation coefficient is a coefficient representing the degree of attenuation of the audio volume with distance, and is affected by frequency, temperature, and humidity (high-frequency sound waves are more affected by humidity, and temperature affects the speed of sound and thus affects attenuation).

[0063] In the embodiment of the present invention, the calculation of the distance attenuation coefficient based on the frequency parameters, the humidity data, and the temperature data includes: Calculate the difference between the temperature data and the preset reference temperature to obtain a temperature difference; Multiply the temperature difference by the preset sound speed correction parameter and add the preset standard sound speed to obtain a sound speed correction term; Calculate the opposite number of the ratio of the frequency parameter to the preset characteristic frequency to obtain an exponential term; Perform exponential operation on the base of the natural logarithm based on the exponential term and multiply it by the humidity data to obtain a product term; Add the product term to the preset constant and multiply it by the sound speed correction term to obtain a frequency humidity correction term; Calculate the ratio of the absolute value of the temperature difference to the reference temperature and add the preset constant to obtain a temperature correction term; Multiply the ratio of the square of the frequency parameter to the frequency-humidity correction term by the temperature correction term to obtain the distance attenuation coefficient.

[0064] Specifically, the calculation formula for the distance attenuation coefficient is as follows: Where, is the distance attenuation coefficient, is the frequency parameter, is the preset standard sound speed, is the preset sound speed correction parameter, is the temperature data, is the preset reference temperature, is the humidity data, is the preset characteristic frequency.

[0065] Specifically, the standard sound speed can be 340 m / s, and the sound speed correction parameter can be taken as 0.6.

[0066] Specifically, the reference temperature can be 20 degrees Celsius.

[0067] Specifically, the characteristic frequency can be taken as 1000 Hz.

[0068] In the embodiments of the present invention, by performing real-time correction on the adjustment parameter set according to the distance data, a corrected parameter set is obtained, and the Bluetooth chip is used to perform real-time sound amplification adjustment on each smart speaker according to the corrected parameter set, so that when the user is in the preset venue, the audio volume heard in any direction is the same, improving the user experience.

[0069] As Figure 2 shown, it is a functional module diagram of a smart speaker global sound field amplification system based on a Bluetooth chip provided by an embodiment of the present invention.

[0070] The smart speaker global sound field amplification system 100 based on a Bluetooth chip according to the present invention can be installed in an electronic device. According to the functions to be realized, the smart speaker global sound field amplification system 100 based on a Bluetooth chip can include a data acquisition module 101, a three-dimensional modeling module 102, a sound field analysis module 103, a distance mapping module 104, and a sound amplification adjustment module 105. The modules in the present invention can also be referred to as units, which refer to a series of computer program segments that can be executed by a processor of an electronic device and can complete fixed functions, and are stored in the memory of the electronic device.

[0071] In this embodiment, the functions of each module / unit are as follows: The data acquisition module 101 is configured to obtain the position information of each smart speaker in a preset venue based on a preset Bluetooth chip in the smart speaker; The 3D modeling module 102 is configured to perform 3D modeling on the preset venue according to the position information to obtain an initial sound field distribution model; The sound field analysis module 103 is configured to perform sound wave reflection analysis on the initial sound field distribution model to obtain a final sound field distribution model, perform sound field uniformity analysis on the final sound field distribution model to obtain a uniformity analysis result, and generate volume adjustment parameters for each smart speaker based on the uniformity analysis result to obtain an adjustment parameter set; The distance mapping module 104 is configured to obtain the position data of the user in the preset venue in real time, and map the distance data between each smart speaker and the user according to the position data by using the final sound field distribution model; The sound amplification adjustment module 105 is configured to correct the adjustment parameter set in real time according to the distance data to obtain a corrected parameter set, and perform real-time sound amplification adjustment on each smart speaker according to the corrected parameter set by using the Bluetooth chip.

[0072] Specifically, each module in the smart speaker global sound field amplification system 100 based on a Bluetooth chip in the embodiments of the present invention adopts the same technical means as those in the above Figure 1 The smart speaker global sound field amplification method based on a Bluetooth chip, and can produce the same technical effects, which will not be elaborated here.

[0073] In the embodiments provided by the present invention, it should be understood that the disclosed devices, systems and methods can be implemented in other ways. For example, the system embodiments described above are merely illustrative. For example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

[0074] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0075] In addition, each functional module in the various embodiments of the present invention can be integrated into a processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above integrated units can be implemented in the form of hardware, or in the form of hardware plus software function modules.

[0076] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above-described exemplary embodiments, and the present invention can be implemented in other specific forms without departing from the spirit or basic characteristics of the present invention.

[0077] Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be included in the present invention. Any reference signs in the claims should not be construed as limiting the claims involved.

[0078] The embodiments of the present application can acquire and process relevant data based on artificial intelligence technology. Among them, artificial intelligence (AI) is a theory, method, technology, and application system that uses digital computers or machines controlled by digital computers to simulate, extend, and expand human intelligence, perceive the environment, acquire knowledge, and use knowledge to obtain the best results.

[0079] In addition, it is obvious that the term "including" does not exclude other units or steps, and the singular does not exclude the plural. The multiple units or systems stated in the system claims can also be implemented by one unit or system through software or hardware. The terms "first", "second", etc. are used to denote names and do not denote any particular order.

[0080] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. An intelligent speaker global sound field amplification method based on a Bluetooth chip, characterized in that, The method includes: Obtaining the location information of each smart speaker in a preset venue based on a preset Bluetooth chip in the smart speaker; Performing 3D modeling on the preset venue according to the location information to obtain an initial sound field distribution model; Performing acoustic wave reflection analysis on the initial sound field distribution model to obtain a final sound field distribution model; Performing sound field uniformity analysis on the final sound field distribution model to obtain a uniformity analysis result, generating a volume adjustment parameter for each smart speaker based on the uniformity analysis result, and obtaining an adjustment parameter set; Real-time obtaining the location data of the user in the preset venue, and using the final sound field distribution model to map the distance data between each smart speaker and the user according to the location data; Performing real-time correction on the adjustment parameter set according to the distance data to obtain a corrected parameter set, and using the Bluetooth chip to perform real-time amplification adjustment on each smart speaker according to the corrected parameter set.

2. The intelligent speaker global sound field amplification method based on a Bluetooth chip according to claim 1, wherein The obtaining the location information of each smart speaker in a preset venue based on a preset Bluetooth chip in the smart speaker includes: Obtaining distance data between the Bluetooth chip in each smart speaker and a preset master device based on wireless communication to obtain a distance data set; Obtaining angle data between the Bluetooth chip in each smart speaker and a preset master device based on wireless communication to obtain an angle data set; Obtaining the initialization location data of the master device; Calculating the location information of each smart speaker in the preset venue according to the distance data set, the angle data set, and the initialization location data.

3. The intelligent speaker global sound field amplification method based on a Bluetooth chip according to claim 1, wherein The performing 3D modeling on the preset venue according to the location information to obtain an initial sound field distribution model includes: Obtaining the 3D point cloud data of the preset venue; Establishing a 3D venue model according to the 3D point cloud data; Obtaining the material recognition results of all objects in the preset venue; Obtaining the acoustic wave reflectivity corresponding to all materials in the material recognition results based on a preset database; Binding the acoustic wave reflectivity to the 3D venue model according to the material recognition results to obtain a 3D sound field model; Setting a smart speaker model in the 3D sound field model according to the location information to obtain an initial sound field distribution model.

4. The intelligent speaker global sound field amplification method based on a Bluetooth chip according to claim 1, wherein The performing acoustic wave reflection analysis on the initial sound field distribution model includes: Performing acoustic wave mapping on the model corresponding to each smart speaker in the initial sound field distribution model based on a preset acoustic wave intensity and the sound amplification orientation data included in the location information to obtain an acoustic wave distribution model; Identifying the object where each mapped acoustic wave first collides in the acoustic wave distribution model to obtain a collision object recognition result; Obtaining the acoustic wave reflectivity of each collision object in the collision object recognition result, and calculating the reflected acoustic wave intensity of each acoustic wave according to the acoustic wave reflectivity; Performing reflected acoustic wave mapping on each mapped acoustic wave in the acoustic wave distribution model based on the reflected acoustic wave intensity and the collision object recognition result to obtain a final sound field distribution model.

5. The method for global sound field amplification of the smart speaker based on the Bluetooth chip according to claim 1, wherein, The performing sound field uniformity analysis on the final sound field distribution model to obtain a uniformity analysis result includes: Divide the final model of the sound field distribution into multiple grid blocks of the same size according to a preset grid size; Identify the emitted sound waves and reflected sound waves in each grid block; Calculate the sound wave energy intensity of each grid block based on the emitted sound waves and reflected sound waves in each grid block; Perform normalization processing on the sound wave energy intensity of each grid block to obtain the normalized sound wave energy intensity; Summarize the normalized sound wave energy intensity of each grid block to obtain the uniformity analysis result.

6. The intelligent speaker global sound field amplification method based on a Bluetooth chip according to claim 5, wherein The calculating the sound wave energy intensity of each grid block based on the emitted sound waves and reflected sound waves in each grid block includes: Obtain the sound wave reflectivity of the collision object corresponding to each reflected sound wave; Calculate the reflected sound wave intensity based on the sound wave reflectivity and a preset standard sound wave intensity; Calculate the coverage area of each emitted sound wave within the grid block; Calculate the coverage area of each reflected sound wave within the grid block; After multiplying the coverage areas corresponding to all the reflected sound waves in the grid block by the reflected sound wave intensity, obtain the reflected sound wave intensity of each reflected sound wave, and sum the reflected sound wave intensities of the reflected sound waves within the same grid block to obtain the total reflected sound wave intensity; After multiplying the coverage areas corresponding to all the reflected sound waves in the grid block by the standard sound wave intensity, obtain the emitted sound wave intensity of each emitted sound wave, and sum the emitted sound wave intensities of all the emitted sound waves within the same grid block to obtain the total reflected sound wave intensity; Sum the total reflected sound wave intensity and the total reflected sound wave intensity to obtain the sound wave energy intensity.

7. The method for omnidirectional sound field amplification of an intelligent speaker based on a Bluetooth chip according to claim 1, wherein The mapping out the distance data between each smart speaker and the user by using the final model of the sound field distribution according to the position data includes: Establish a two-dimensional coordinate system of the preset site with a preset main control device as the coordinate origin; Obtain and identify the coordinate data of each smart speaker in the two-dimensional coordinate system according to the position information to obtain the coordinate data; Identify the coordinate data of the user in the two-dimensional coordinate system according to the position data to obtain the user coordinate data; Calculate the distance data between each speaker and the user based on the coordinate data and the user coordinate data by using trigonometric functions.

8. The intelligent speaker global sound field amplification method based on a Bluetooth chip according to claim 1, wherein The obtaining the corrected parameter set by performing real-time correction on the adjustment parameter set according to the distance data includes: Obtain in real time the frequency parameter of the audio played by the smart speaker, and obtain in real time the humidity data and temperature data of the preset site; Calculate the distance attenuation coefficient based on the frequency parameter, the humidity data, and the temperature data; Calculate the volume attenuation amount of each smart speaker according to the distance attenuation coefficient and the distance data; Calculate the volume adjustment amount according to the distance attenuation coefficient and the volume attenuation amount; Perform real-time correction on the adjustment parameter set based on the volume adjustment amount to obtain the corrected parameter set.

9. The method for omnidirectional sound field amplification of the smart speaker based on the Bluetooth chip according to claim 8, wherein, The calculating the distance attenuation coefficient based on the frequency parameter, the humidity data, and the temperature data includes: Calculate the difference between the temperature data and a preset reference temperature to obtain the temperature difference; Multiply the temperature difference by a preset sound speed correction parameter and add it to a preset standard sound speed to obtain the sound speed correction term; Calculate the negative reciprocal of the ratio of the frequency parameter to the preset characteristic frequency to obtain an exponential term; Multiply the result of the exponential operation on the base of the natural logarithm based on the exponential term by the humidity data to obtain a product term; Add the product term to a preset constant and then multiply the result by the sound speed correction term to obtain a frequency-humidity correction term; Calculate the ratio of the absolute value of the temperature difference to the reference temperature and add a preset constant to obtain a temperature correction term; Calculate the ratio of the square of the frequency parameter to the frequency-humidity correction term and then multiply the result by the temperature correction term to obtain a distance attenuation coefficient.

10. An intelligent speaker global sound field amplification system based on a Bluetooth chip, characterized in that, The system includes: A data acquisition module for obtaining the position information of each smart speaker in a preset venue based on a preset Bluetooth chip in the smart speaker; A 3D modeling module for performing 3D modeling on the preset venue according to the position information to obtain an initial sound field distribution model; A sound field analysis module for performing acoustic wave reflection analysis on the initial sound field distribution model to obtain a final sound field distribution model, performing sound field uniformity analysis on the final sound field distribution model to obtain a uniformity analysis result, and generating a volume adjustment parameter for each smart speaker based on the uniformity analysis result to obtain an adjustment parameter set; A distance mapping module for obtaining the position data of the user in the preset venue in real time, and mapping the distance data between each smart speaker and the user according to the position data by using the final sound field distribution model; An amplification adjustment module for correcting the adjustment parameter set in real time according to the distance data to obtain a corrected parameter set, and performing real-time amplification adjustment on each smart speaker according to the corrected parameter set by using the Bluetooth chip.

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