Dental bone conduction wireless transmitting system

Abstract

The invention discloses a dental bone conduction wireless transmitting system, and relates to the technical field of acoustics and wireless communication. An acoustic sensing module; the signal noise reduction module is used for obtaining a sound noise reduction signal; the signal processing module forms a signal processing mechanism, and the signal processing mechanism is used for processing the sound noise reduction signals; the Bluetooth transmission module controls the signal processing module to establish connection with a plurality of receiving devices at the same time; the power management module realizes low-power-consumption operation through an intelligent power management mechanism; and a distributed storage module. By arranging the acoustic sensing module, the signal noise reduction module, the signal processing module and the power management module, a sensor layout optimization position is formed, the number of acoustic sensors participating in sound receiving is reduced while the signal processing effect is ensured, and then the effect of low power consumption is achieved.

Description

Technical Field

[0001] The present invention relates to the fields of acoustic technology and wireless communication technology, and in particular to a bone conduction wireless communication system. Background Art

[0002] Traditional wireless communication systems, such as microphones, usually require users to hold or wear them near their mouths, which not only limits the user's freedom of movement, but may also affect the call quality due to interference from environmental noise. In recent years, bone conduction technology has been widely used in audio devices such as headphones due to its unique conduction method, that is, transmitting sound through bone structures such as the skull and jaw. However, the application of bone conduction technology to wireless communication systems, especially the design combined with braces, is still a blank. At the same time, when using braces for sound collection, how to perform collection settings to improve noise processing effects, as well as power distribution and extend the system's use time, are all not fully considered by existing technologies. Summary of the invention

[0003] In order to solve the above technical problems, a bone conduction wireless intercom system is provided. This technical solution solves the problem proposed in the above background technology of applying bone conduction technology to wireless intercom systems, especially the design combined with braces, which is still blank. At the same time, when using braces to collect sound, how to perform collection settings to improve the noise processing effect, as well as power distribution and extend the system's use time are all problems that have not been fully considered in the prior art.

[0004] In order to achieve the above purpose, the technical solution adopted by the present invention is:

[0005] A bone conduction wireless communication system, comprising:

[0006] A mouthpiece body module, which is worn on the teeth of the user and has at least one acoustic sensor embedded therein;

[0007] An acoustic sensing module, wherein the acoustic sensing module uses at least one acoustic sensor, and the acoustic sensor captures the actual sound signal generated by the vibration of the teeth during the speech transmission process, forms an optimized sensor layout position, and uses the optimized sensor layout position to layout the position of the acoustic sensor, and the acoustic sensing module obtains at least one internal sound signal;

[0008] A signal noise reduction module, which performs noise reduction processing on the actual sound signal to obtain a sound noise reduction signal;

[0009] A signal processing module, wherein the signal processing module forms a signal processing mechanism and uses the signal processing mechanism to process the sound noise reduction signal;

[0010] A Bluetooth transmission module, wherein the Bluetooth transmission module adopts Bluetooth 5.0 technology and controls the signal processing module to establish connections with multiple receiving devices at the same time through the broadcast mode and multi-point connection function of Bluetooth 5.0;

[0011] A power management module, wherein the power management module uses a micro battery as a power source, and the power management module forms an intelligent power management mechanism, and realizes low-power operation through the intelligent power management mechanism;

[0012] A distributed storage module uses distributed database technology to store sensor layout optimization positions, signal processing mechanisms, and intelligent power management mechanisms.

[0013] Preferably, forming the sensor layout optimization position and using the sensor layout optimization position to layout the position of the acoustic sensor comprises the following steps:

[0014] Identify the point with the minimum external noise and the point with the maximum sound vibration;

[0015] At least one sampling point is evenly arranged inside the brace body module;

[0016] When identifying the minimum point of external noise, when the user does not make a sound and the external noise is 0, a first sampling signal is obtained at the sampling point;

[0017] When the user does not make a sound, a second sampling signal is obtained at the sampling point;

[0018] Subtracting the first sampling signal from the second sampling signal at the sampling point to obtain a noise recognition signal;

[0019] Obtain the sampling point with the smallest noise recognition signal as the first feature point;

[0020] Acquire at least one second feature point, satisfying that the difference between the noise recognition signal of the second feature point and the noise recognition signal of the first feature point is less than a preset value;

[0021] Summarize the first characteristic point and the second characteristic point as the point with minimum external noise;

[0022] When the maximum point of the vocal vibration is identified, when the user speaks, a third sampling signal is obtained at the sampling point;

[0023] Subtracting the third sampling signal from the second sampling signal at the sampling point to obtain a vibration identification signal;

[0024] Obtain the sampling point with the largest vibration recognition signal as the first target point;

[0025] Acquire at least one second target point, and satisfy that the difference between the vibration identification signal of the second target point and the vibration identification signal of the first target point is less than a preset value;

[0026] The first target point and the second target point are summed up as the maximum point of the sound vibration;

[0027] Obtain the symmetry axis of the brace body, and when the external noise minimum point is not symmetrically distributed about the symmetry axis, add the external noise minimum point until the external noise minimum point is symmetrically distributed about the symmetry axis;

[0028] When the maximum sound vibration points are not symmetrically distributed about the symmetry axis, additional maximum sound vibration points are added until the maximum sound vibration points are symmetrically distributed about the symmetry axis;

[0029] The positions of the minimum external noise point and the maximum sound vibration point after the addition are used as the optimal positions for sensor layout;

[0030] The sensor layout optimization position is used as the setting position of at least one acoustic sensor.

[0031] Preferably, the acoustic sensing module acquires at least one internal sound signal comprising the following steps:

[0032] In a noiseless environment and when the user does not make any sound, at least one internal sound signal is acquired at a point where the external noise is minimum.

[0033] Preferably, the step of performing noise reduction processing on the actual sound signal to obtain a sound noise reduction signal comprises the following steps:

[0034] averaging at least one internal sound signal to obtain an internal vibration mean signal;

[0035] Using the actual sound signal obtained at the point where the external noise is minimum as the first actual sound signal;

[0036] The actual sound signal obtained at the maximum point of the sound vibration is used as the second actual sound signal;

[0037] Decomposing the first actual sound signal using Fourier transform to obtain at least one first actual basic signal;

[0038] Decomposing the second actual sound signal using Fourier transform to obtain at least one second actual basic signal;

[0039] Deleting a second actual basic signal whose difference from the first actual basic signal is greater than a preset amplitude;

[0040] Combining the deleted at least one second actual basic signal by using inverse Fourier transform to obtain a sound noise reduction preliminary signal;

[0041] The sound noise reduction signal is obtained by subtracting the sound noise reduction preparatory signal from the internal vibration mean signal.

[0042] Preferably, the forming of the signal processing mechanism and using the signal processing mechanism to process the sound noise reduction signal comprises the following steps:

[0043] Filtering the sound noise reduction signal to obtain a sound filtering signal;

[0044] Based on historical data, a value range of the signal amplification ratio is obtained, and the value range of the signal amplification ratio is divided into equal intervals to obtain at least one amplification point;

[0045] Amplify the sound noise reduction signal according to the value at the amplification point to obtain a sound amplified signal, and calculate the probability of the sound amplified signal being misidentified as a feature probability;

[0046] When the feature probability is less than the preset probability, the value at the amplification point corresponding to the feature probability is used as the optimal amplification ratio;

[0047] Using filtering and amplification using an optimal amplification ratio as a signal processing mechanism;

[0048] The sound noise reduction signal is processed using a signal processing mechanism, wherein the signal is amplified using one of the optimal amplification ratios.

[0049] Preferably, the control signal processing module simultaneously establishing connections with multiple receiving devices comprises the following steps:

[0050] Acquire at least one receiving device, and acquire the receiving device closest to the signal processing module as a characteristic receiving device;

[0051] At least one single transmission link is formed, the single transmission link takes the characteristic receiving device as a starting point, and the single transmission link passes through all the receiving devices;

[0052] Counting the transmission distances of the single transmission links, and taking the single transmission link with the shortest transmission distance as the first target single transmission link;

[0053] Using a path where the signal processing module is directly connected to at least one receiving device as a second target single transmission link;

[0054] The shorter one of the second target single transmission link and the second target single transmission link is used as the target single transmission link;

[0055] Use the target single transmission link to establish connections with multiple receiving devices.

[0056] Preferably, the forming of the intelligent power management mechanism and achieving low power consumption operation through the intelligent power management mechanism comprises the following steps:

[0057] Obtain the actual sound signal captured at the maximum sound vibration point and the sound noise reduction signal after noise reduction processing at the maximum sound vibration point, and use the noise ratio formula to calculate the noise ratio at the maximum sound vibration point;

[0058] Based on the noise ratio, the maximum sound vibration point is classified into a non-essential collection point and a necessary collection point. The non-essential collection point is the maximum sound vibration point with a noise ratio greater than a preset ratio, and the necessary collection point is the maximum sound vibration point with a noise ratio not exceeding a preset ratio.

[0059] The intelligent power management mechanism is: suspend the acoustic sensors at non-essential collection points and keep the acoustic sensors at necessary collection points operating;

[0060] The noise ratio formula is as follows:

[0061]

[0062] Among them, A is the noise ratio at the maximum point of vocal vibration, a is the intensity of the sound noise reduction signal after noise reduction processing at the maximum point of vocal vibration, and b is the intensity of the actual sound signal captured at the maximum point of vocal vibration.

[0063] Preferably, the Fourier transform is as follows:

[0064]

[0065] Where, F(x) is the signal after Fourier transform, i is a unit imaginary number, e is a natural constant, f(t) is the signal before Fourier transform, f(t) is a time domain function, and t is time;

[0066] The inverse Fourier transform is as follows:

[0067]

[0068] Wherein, G(t) is the signal before inverse Fourier transform, i is a unit imaginary number, e is a natural constant, g(x) is the signal after inverse Fourier transform, g(x) is a frequency domain function, and x is the frequency.

[0069] Preferably, the use of distributed database technology to store sensor layout optimization positions, signal processing mechanisms and intelligent power management mechanisms includes the following steps:

[0070] Divide and shard the sensor layout optimization position, signal processing mechanism and intelligent power management mechanism, and store the data evenly on multiple distributed database nodes;

[0071] Set up data replication and redundant backup strategies in distributed databases, using master-slave replication or multi-master replication to replicate data to multiple distributed database nodes;

[0072] Use distributed transaction processing technology to achieve data consistency and synchronization in distributed databases;

[0073] Use data sharding routing method to implement load balancing and performance optimization strategies in distributed databases;

[0074] In a distributed database, a disaster recovery and fault recovery mechanism including fault detection and automatic switching is set up.

[0075] Compared with the prior art, the present invention has the following beneficial effects:

[0076] By setting up an acoustic sensing module, a signal noise reduction module, a signal processing module and a power management module, targeted position design can be carried out according to the characteristics of bone conduction to form an optimized sensor layout position. The optimized sensor layout position is used for sound collection, and signals with different focuses can be collected. Then, differentiated processing can be performed according to the signals with different focuses, so that better denoising can be performed to obtain a sound noise reduction signal with a higher degree of restoration. At the same time, during sound collection, the use of acoustic sensors is controlled to reduce the number of acoustic sensors involved in sound collection while ensuring the signal processing effect, thereby achieving a low power consumption effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0077] Figure 1 It is a schematic diagram of the process of the bone conduction wireless communication system of the present invention;

[0078] Figure 2 A schematic diagram of a process of forming an optimized sensor layout position according to the present invention and using the optimized sensor layout position to layout the position of the acoustic sensor;

[0079] Figure 3 A schematic diagram of a process of performing noise reduction processing on an actual sound signal to obtain a sound noise reduction signal according to the present invention;

[0080] Figure 4 A schematic diagram of a process of forming a signal processing mechanism of the present invention and using the signal processing mechanism to process a sound noise reduction signal;

[0081] Figure 5 A schematic diagram of a flow chart of a control signal processing module of the present invention establishing connections with multiple receiving devices at the same time;

[0082] Figure 6 The present invention forms an intelligent power management mechanism and implements a low-power operation process through the intelligent power management mechanism. DETAILED DESCRIPTION

[0083] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0084] Reference Figure 1 As shown, a bone conduction wireless communication system comprises:

[0085] A mouthpiece body module, which is worn on the teeth of the user and has at least one acoustic sensor embedded therein;

[0086] An acoustic sensing module, wherein the acoustic sensing module uses at least one acoustic sensor, and the acoustic sensor captures the actual sound signal generated by the vibration of the teeth during the speech transmission process, forms an optimized sensor layout position, and uses the optimized sensor layout position to layout the position of the acoustic sensor, and the acoustic sensing module obtains at least one internal sound signal;

[0087] A signal noise reduction module, which performs noise reduction processing on the actual sound signal to obtain a sound noise reduction signal;

[0088] A signal processing module, wherein the signal processing module forms a signal processing mechanism and uses the signal processing mechanism to process the sound noise reduction signal;

[0089] A Bluetooth transmission module, wherein the Bluetooth transmission module adopts Bluetooth 5.0 technology and controls the signal processing module to establish connections with multiple receiving devices at the same time through the broadcast mode and multi-point connection function of Bluetooth 5.0;

[0090] A power management module, wherein the power management module uses a micro battery as a power source, and the power management module forms an intelligent power management mechanism, and realizes low-power operation through the intelligent power management mechanism;

[0091] A distributed storage module uses distributed database technology to store sensor layout optimization positions, signal processing mechanisms, and intelligent power management mechanisms.

[0092] When capturing tooth bone vibration, since it uses vibration to collect signals, it is less susceptible to external noise than the usual collection method. However, in order to further improve the effect of sending messages, it is necessary to set the vibration collection. Since there are two types of noise, one is the noise from the movement of internal organs of the human body, which is periodic, and the other is the noise from the outside, which is variable. In order to process this part of the noise, it is necessary to set the position of the acoustic sensor in particular. In this solution, the corresponding algorithm is set to set the position of the acoustic sensor.

[0093] In addition, in order to ensure sufficient signal collection, current vibration collection devices usually operate at full power, but this will result in high power consumption, thereby limiting the battery life of the power supply. In this solution, targeted collection adjustments are made based on the actual collection situation of the acoustic sensor, thereby ensuring the effect of signal collection and reducing the overall power consumption of the system operation.

[0094] Reference Figure 2 As shown, forming a sensor layout optimization position, and using the sensor layout optimization position to layout the position of the acoustic sensor includes the following steps:

[0095] Identify the point with the minimum external noise and the point with the maximum sound vibration;

[0096] At least one sampling point is evenly arranged inside the brace body module;

[0097] When identifying the minimum point of external noise, when the user does not make a sound and the external noise is 0, a first sampling signal is obtained at the sampling point;

[0098] When the user does not make a sound, a second sampling signal is obtained at the sampling point;

[0099] Subtracting the first sampling signal from the second sampling signal at the sampling point to obtain a noise recognition signal;

[0100] Obtain the sampling point with the smallest noise recognition signal as the first feature point;

[0101] Acquire at least one second feature point, satisfying that the difference between the noise recognition signal of the second feature point and the noise recognition signal of the first feature point is less than a preset value;

[0102] Summarize the first characteristic point and the second characteristic point as the point with minimum external noise;

[0103] When the maximum point of the vocal vibration is identified, when the user speaks, a third sampling signal is obtained at the sampling point;

[0104] Subtracting the third sampling signal from the second sampling signal at the sampling point to obtain a vibration identification signal;

[0105] Obtain the sampling point with the largest vibration recognition signal as the first target point;

[0106] Acquire at least one second target point, and satisfy that the difference between the vibration identification signal of the second target point and the vibration identification signal of the first target point is less than a preset value;

[0107] The first target point and the second target point are summed up as the maximum point of the sound vibration;

[0108] Obtain the symmetry axis of the brace body, and when the external noise minimum point is not symmetrically distributed about the symmetry axis, add the external noise minimum point until the external noise minimum point is symmetrically distributed about the symmetry axis;

[0109] When the maximum sound vibration points are not symmetrically distributed about the symmetry axis, additional maximum sound vibration points are added until the maximum sound vibration points are symmetrically distributed about the symmetry axis;

[0110] The positions of the minimum external noise point and the maximum sound vibration point after the addition are used as the optimal positions for sensor layout;

[0111] The sensor layout optimization position is used as the setting position of at least one acoustic sensor.

[0112] Since the braces body is installed on the user's teeth, the sound collection effects are different at different positions. Therefore, the point with the minimum external noise and the point with the maximum sound vibration are identified. The point with the minimum external noise is used to obtain the internal noise of the human body. Since it is less affected by external noise, a signal without external noise interference can be obtained at the point with the minimum external noise, and a signal with a higher signal strength can be obtained at the point with the maximum sound vibration. The two signals can be subsequently processed comprehensively to obtain the required signal.

[0113] The acoustic sensing module acquires at least one internal sound signal including the following steps:

[0114] In a noiseless environment and when the user does not make any sound, at least one internal sound signal is acquired at a point where the external noise is minimum.

[0115] Among them, the noise-free environment is only relatively noise-free, but it is impossible to be absolutely noise-free. Therefore, the internal sound signal is obtained at the point where the external noise is minimum. Since it is less affected by the external noise, in this case, the internal sound signal can basically be regarded as having no external noise interference.

[0116] Reference Figure 3 As shown, performing noise reduction processing on the actual sound signal to obtain a sound noise reduction signal includes the following steps:

[0117] averaging at least one internal sound signal to obtain an internal vibration mean signal;

[0118] Using the actual sound signal obtained at the point where the external noise is minimum as the first actual sound signal;

[0119] The actual sound signal obtained at the maximum point of the sound vibration is used as the second actual sound signal;

[0120] Decomposing the first actual sound signal using Fourier transform to obtain at least one first actual basic signal;

[0121] Decomposing the second actual sound signal using Fourier transform to obtain at least one second actual basic signal;

[0122] Deleting a second actual basic signal whose difference from the first actual basic signal is greater than a preset amplitude;

[0123] Combining the deleted at least one second actual basic signal by using inverse Fourier transform to obtain a sound noise reduction preliminary signal;

[0124] The sound noise reduction signal is obtained by subtracting the sound noise reduction preparatory signal from the internal vibration mean signal.

[0125] The internal vibration mean signal is the vibration signal of the user's internal organs, so it is noise and needs to be removed. For the actual sound signal, at the point where the external noise is minimum, it is mainly composed of internal noise vibration and actual sound vibration. At the point where the sound vibration is maximum, it is composed of external noise, internal noise vibration and actual sound vibration. Therefore, it is necessary to remove the external noise and internal noise vibration. The purpose of deleting the second actual basic signal whose difference with the first actual basic signal is greater than the preset amplitude is to remove the external noise. The purpose of subtracting the sound noise reduction preparation signal from the internal vibration mean signal is to remove the internal noise vibration. Therefore, the sound noise reduction signal is relatively close to the actual sound vibration and can meet the needs.

[0126] Reference Figure 4 As shown, a signal processing mechanism is formed, and using the signal processing mechanism to process the sound noise reduction signal includes the following steps:

[0127] Filtering the sound noise reduction signal to obtain a sound filtering signal;

[0128] Based on historical data, a value range of the signal amplification ratio is obtained, and the value range of the signal amplification ratio is divided into equal intervals to obtain at least one amplification point;

[0129] Amplify the sound noise reduction signal according to the value at the amplification point to obtain a sound amplified signal, and calculate the probability of the sound amplified signal being misidentified as a feature probability;

[0130] When the feature probability is less than the preset probability, the value at the amplification point corresponding to the feature probability is used as the optimal amplification ratio;

[0131] Using filtering and amplification using an optimal amplification ratio as a signal processing mechanism;

[0132] The sound noise reduction signal is processed using a signal processing mechanism, wherein the signal is amplified using one of the optimal amplification ratios.

[0133] Reference Figure 5As shown, controlling the signal processing module to establish connections with multiple receiving devices simultaneously includes the following steps:

[0134] Acquire at least one receiving device, and acquire the receiving device closest to the signal processing module as a characteristic receiving device;

[0135] At least one single transmission link is formed, the single transmission link takes the characteristic receiving device as a starting point, and the single transmission link passes through all the receiving devices;

[0136] Counting the transmission distances of the single transmission links, and taking the single transmission link with the shortest transmission distance as the first target single transmission link;

[0137] Using a path where the signal processing module is directly connected to at least one receiving device as a second target single transmission link;

[0138] The shorter one of the second target single transmission link and the second target single transmission link is used as the target single transmission link;

[0139] Use the target single transmission link to establish connections with multiple receiving devices.

[0140] The purpose of the target single transmission link is to establish the minimum path for Bluetooth transmission. It compares various connection transmissions between the signal processing module and the receiving device to find the relatively shortest path. This can reduce the propagation distance to a certain extent, thereby reducing the power used by Bluetooth and achieving energy saving.

[0141] Reference Figure 6 As shown, forming an intelligent power management mechanism, and realizing low power consumption operation through the intelligent power management mechanism includes the following steps:

[0142] Obtain the actual sound signal captured at the maximum sound vibration point and the sound noise reduction signal after noise reduction processing at the maximum sound vibration point, and use the noise ratio formula to calculate the noise ratio at the maximum sound vibration point;

[0143] Based on the noise ratio, the maximum sound vibration point is classified into a non-essential collection point and a necessary collection point. The non-essential collection point is the maximum sound vibration point with a noise ratio greater than a preset ratio, and the necessary collection point is the maximum sound vibration point with a noise ratio not exceeding a preset ratio.

[0144] The intelligent power management mechanism is: suspend the acoustic sensors at non-essential collection points and keep the acoustic sensors at necessary collection points operating;

[0145] The noise ratio formula is as follows:

[0146]

[0147] Among them, A is the noise ratio at the maximum point of vocal vibration, a is the intensity of the sound noise reduction signal after noise reduction processing at the maximum point of vocal vibration, and b is the intensity of the actual sound signal captured at the maximum point of vocal vibration.

[0148] For the maximum points of the sound vibration where the noise is relatively large, since the noise is relatively large, vibration acquisition is not performed on these points, and the impact on the final vibration processing accuracy can be ignored. Therefore, the use of electricity can be reduced while not affecting the transmission effect.

[0149] The Fourier transform is as follows:

[0150]

[0151] Where, F(x) is the signal after Fourier transform, i is a unit imaginary number, e is a natural constant, f(t) is the signal before Fourier transform, f(t) is a time domain function, and t is time;

[0152] The inverse Fourier transform is as follows:

[0153]

[0154] Wherein, G(t) is the signal before inverse Fourier transform, i is a unit imaginary number, e is a natural constant, g(x) is the signal after inverse Fourier transform, g(x) is a frequency domain function, and x is the frequency.

[0155] Using distributed database technology to store sensor layout optimization locations, signal processing mechanisms, and intelligent power management mechanisms includes the following steps:

[0156] Divide and shard the sensor layout optimization position, signal processing mechanism and intelligent power management mechanism, and store the data evenly on multiple distributed database nodes;

[0157] Set up data replication and redundant backup strategies in distributed databases, using master-slave replication or multi-master replication to replicate data to multiple distributed database nodes;

[0158] Use distributed transaction processing technology to achieve data consistency and synchronization in distributed databases;

[0159] Use data sharding routing method to implement load balancing and performance optimization strategies in distributed databases;

[0160] In a distributed database, a disaster recovery and fault recovery mechanism including fault detection and automatic switching is set up.

[0161] Furthermore, the present solution also proposes a storage medium on which a computer-readable program is stored, and when the computer-readable program is called, the above-mentioned bone conduction wireless communication system is run.

[0162] It is understandable that the storage medium may be a magnetic medium, such as a floppy disk, a hard disk, or a magnetic tape; an optical medium, such as a DVD; or a semiconductor medium, such as a solid state drive (SSD).

[0163] To sum up, the advantages of the present invention are: by setting an acoustic sensing module, a signal noise reduction module, a signal processing module and a power management module, targeted position design can be performed according to the characteristics of bone conduction to form an optimized sensor layout position. The optimized sensor layout position is used for sound collection, and signals with different emphases can be collected. Then, differentiated processing can be performed according to the signals with different emphases, so that better denoising can be performed to obtain a sound noise reduction signal with a higher degree of restoration. At the same time, during sound collection, the use of acoustic sensors is controlled to reduce the number of acoustic sensors involved in sound collection while ensuring the signal processing effect, thereby achieving a low power consumption effect.

[0164] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A bone conduction wireless communication system, characterized in that: include: A mouthpiece body module, which is worn on the teeth of the user and has at least one acoustic sensor embedded therein; An acoustic sensing module, wherein the acoustic sensing module uses at least one acoustic sensor, and the acoustic sensor captures the actual sound signal generated by the vibration of the teeth during the speech transmission process, forms an optimized sensor layout position, and uses the optimized sensor layout position to layout the position of the acoustic sensor, and the acoustic sensing module obtains at least one internal sound signal; A signal noise reduction module, which performs noise reduction processing on the actual sound signal to obtain a sound noise reduction signal; A signal processing module, wherein the signal processing module forms a signal processing mechanism and uses the signal processing mechanism to process the sound noise reduction signal; A Bluetooth transmission module, wherein the Bluetooth transmission module adopts Bluetooth 5.0 technology and controls the signal processing module to establish connections with multiple receiving devices at the same time through the broadcast mode and multi-point connection function of Bluetooth 5.0; A power management module, wherein the power management module uses a micro battery as a power source, and the power management module forms an intelligent power management mechanism, and realizes low-power operation through the intelligent power management mechanism; A distributed storage module uses distributed database technology to store sensor layout optimization positions, signal processing mechanisms, and intelligent power management mechanisms.

2. The bone conduction wireless communication system according to claim 1, characterized in that: The forming of the sensor layout optimization position and using the sensor layout optimization position to layout the position of the acoustic sensor comprises the following steps: Identify the point with the minimum external noise and the point with the maximum sound vibration; At least one sampling point is evenly arranged inside the brace body module; When identifying the minimum point of external noise, when the user does not make a sound and the external noise is 0, a first sampling signal is obtained at the sampling point; When the user does not make a sound, a second sampling signal is obtained at the sampling point; Subtracting the first sampling signal from the second sampling signal at the sampling point to obtain a noise recognition signal; Obtain the sampling point with the smallest noise recognition signal as the first feature point; Acquire at least one second feature point, satisfying that the difference between the noise recognition signal of the second feature point and the noise recognition signal of the first feature point is less than a preset value; The first characteristic point and the second characteristic point are summarized as the point with the minimum external noise; When the maximum point of the vocal vibration is identified, when the user speaks, a third sampling signal is obtained at the sampling point; Subtracting the third sampling signal from the second sampling signal at the sampling point to obtain a vibration identification signal; Obtain the sampling point with the largest vibration recognition signal as the first target point; Acquire at least one second target point, and satisfy that the difference between the vibration identification signal of the second target point and the vibration identification signal of the first target point is less than a preset value; The first target point and the second target point are summed up as the maximum point of the sound vibration; Obtain the symmetry axis of the brace body, and when the external noise minimum point is not symmetrically distributed about the symmetry axis, add the external noise minimum point until the external noise minimum point is symmetrically distributed about the symmetry axis; When the maximum sound vibration points are not symmetrically distributed about the symmetry axis, additional maximum sound vibration points are added until the maximum sound vibration points are symmetrically distributed about the symmetry axis; The positions of the minimum external noise point and the maximum sound vibration point after the addition are used as the optimal positions for sensor layout; The sensor layout optimization position is used as the setting position of at least one acoustic sensor.

3. A bone conduction wireless communication system according to claim 2, characterized in that: The acoustic sensing module acquires at least one internal sound signal comprising the following steps: In a noiseless environment and when the user does not make any sound, at least one internal sound signal is acquired at a point where the external noise is minimum.

4. The bone conduction wireless communication system according to claim 3, characterized in that: The noise reduction process of the actual sound signal to obtain the sound noise reduction signal comprises the following steps: averaging at least one internal sound signal to obtain an internal vibration mean signal; Using the actual sound signal obtained at the point where the external noise is minimum as the first actual sound signal; The actual sound signal obtained at the maximum sound vibration point is used as the second actual sound signal; Decomposing the first actual sound signal using Fourier transform to obtain at least one first actual basic signal; Decomposing the second actual sound signal using Fourier transform to obtain at least one second actual basic signal; Deleting a second actual basic signal whose difference from the first actual basic signal is greater than a preset amplitude; Combining the deleted at least one second actual basic signal by using inverse Fourier transform to obtain a sound noise reduction preliminary signal; The sound noise reduction signal is obtained by subtracting the sound noise reduction preparatory signal from the internal vibration mean signal.

5. The bone conduction wireless communication system according to claim 4, characterized in that: The forming of the signal processing mechanism and using the signal processing mechanism to process the sound noise reduction signal comprises the following steps: Filtering the sound noise reduction signal to obtain a sound filtering signal; Based on historical data, a value range of the signal amplification ratio is obtained, and the value range of the signal amplification ratio is divided into equal intervals to obtain at least one amplification point; Amplify the sound noise reduction signal according to the value at the amplification point to obtain a sound amplified signal, and calculate the probability of the sound amplified signal being misidentified as a feature probability; When the feature probability is less than the preset probability, the value at the amplification point corresponding to the feature probability is used as the optimal amplification ratio; Using filtering and amplification using an optimal amplification ratio as a signal processing mechanism; The sound noise reduction signal is processed using a signal processing mechanism, wherein the signal is amplified using one of the optimal amplification ratios.

6. The bone conduction wireless communication system according to claim 5, characterized in that: The controlling signal processing module to establish connections with multiple receiving devices simultaneously comprises the following steps: Acquire at least one receiving device, and acquire the receiving device closest to the signal processing module as a characteristic receiving device; At least one single transmission link is formed, the single transmission link takes the characteristic receiving device as a starting point, and the single transmission link passes through all the receiving devices; Counting the transmission distances of the single transmission links, and taking the single transmission link with the shortest transmission distance as the first target single transmission link; Using a path where the signal processing module is directly connected to at least one receiving device as a second target single transmission link; The shorter one of the second target single transmission link and the second target single transmission link is used as the target single transmission link; Use the target single transmission link to establish connections with multiple receiving devices.

7. The bone conduction wireless communication system according to claim 6, characterized in that: The forming of the intelligent power management mechanism and realizing low power consumption operation through the intelligent power management mechanism comprises the following steps: Obtain the actual sound signal captured at the maximum sound vibration point and the sound noise reduction signal after noise reduction processing at the maximum sound vibration point, and use the noise ratio formula to calculate the noise ratio at the maximum sound vibration point; Based on the noise ratio, the maximum sound vibration point is classified into a non-essential collection point and a necessary collection point. The non-essential collection point is the maximum sound vibration point with a noise ratio greater than a preset ratio, and the necessary collection point is the maximum sound vibration point with a noise ratio not exceeding a preset ratio. The intelligent power management mechanism is: suspend the acoustic sensors at non-essential collection points and keep the acoustic sensors at necessary collection points operating; The noise ratio formula is as follows: Among them, A is the noise ratio at the maximum point of vocal vibration, a is the intensity of the sound noise reduction signal after noise reduction processing at the maximum point of vocal vibration, and b is the intensity of the actual sound signal captured at the maximum point of vocal vibration.

8. The bone conduction wireless communication system according to claim 7, characterized in that: The Fourier transform is specifically as follows: Where, F(x) is the signal after Fourier transform, i is a unit imaginary number, e is a natural constant, f(t) is the signal before Fourier transform, f(t) is a time domain function, and t is time; The inverse Fourier transform is as follows: Wherein, G(t) is the signal before inverse Fourier transform, i is a unit imaginary number, e is a natural constant, g(x) is the signal after inverse Fourier transform, g(x) is a frequency domain function, and x is the frequency.

9. The bone conduction wireless communication system according to claim 8, characterized in that: The use of distributed database technology to store sensor layout optimization positions, signal processing mechanisms, and intelligent power management mechanisms includes the following steps: Divide and shard the sensor layout optimization position, signal processing mechanism and intelligent power management mechanism, and store the data evenly on multiple distributed database nodes; Set up data replication and redundant backup strategies in distributed databases, using master-slave replication or multi-master replication to replicate data to multiple distributed database nodes; Use distributed transaction processing technology to achieve data consistency and synchronization in distributed databases; Use data sharding routing method to implement load balancing and performance optimization strategies in distributed databases; In a distributed database, a disaster recovery and fault recovery mechanism including fault detection and automatic switching is set up.

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