Clilium type sound wave detection device and method

Abstract

The invention belongs to the technical field of sound wave detection, and particularly discloses a cilia type sound wave detection device and method.The detection device comprises a substrate, a bionic cilia array and a vibration detection module, the bionic cilia array is composed of bionic cilia which simulate cochlea hair cell structures and have different lengths and diameters, and the vibration detection module is connected with the bionic cilia array; the substrate is in close contact with and connected with the bottoms of the bionic cilia, and the bionic cilia array and the substrate are prepared by a 3D printing method, a reverse mold method or an MEMS processing method. According to the cilium-type sound wave detection device and method, direct analysis of sound wave frequency is realized by using micromachining technologies such as a bionics principle and 3D printing, so that the problems of high dependence on a power supply, complicated structure, high algorithm requirement and the like in the prior art are solved; the bionic cilium arrays with different length-diameter ratios respond to mechanical resonance characteristics of sound waves with specific frequencies, so that low-power-consumption, high-sensitivity and high-selectivity sound wave detection is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of sound wave detection, and in particular to a ciliary sound wave detection device and method. Background Art

[0002] Sound detection technology has a wide range of applications in modern society, from speech recognition and audio processing to medical diagnosis and environmental monitoring. The development of related technologies has promoted progress in many fields. At present, mainstream sound detection methods mainly rely on electronic sensors and digital signal processing technology. These methods usually convert sound waves into electrical signals through devices such as microphones, and then use complex algorithms and electronic circuits to process the signals to analyze the frequency, amplitude and phase information of the sound waves.

[0003] The core components of traditional microphones usually include piezoelectric materials, capacitive diaphragms or dynamic coil structures. These devices convert the mechanical vibrations of sound waves into electrical signals, which are then further analyzed by digital processing units. However, these technologies are highly dependent on power supplies and require complex algorithm support. For example, frequency domain analysis methods such as Fourier transform are core technologies in modern sound signal processing, but this method not only requires computing power, but may also be affected by noise, thereby affecting detection accuracy. In addition, in order to improve detection performance, sensors often require highly sensitive materials and precise processing technology, which significantly increases the manufacturing cost and complexity of the system.

[0004] Therefore, how to design a sound detection device that does not require electronic signals and complex algorithm support has become an important research direction to solve the limitations of existing technologies. Sound wave detection technology based on the principle of bionics provides a new solution. Many organisms in nature directly perceive and analyze sound waves through structures such as cilia, such as the cochlear hair cell structure of mammals and the tactile perception system of insects. This biological mechanism that does not rely on electrical signals provides inspiration for the design of new sound wave detection devices, which is expected to achieve low-power, power-free, and simple-structure direct analysis of sound wave frequencies. Summary of the invention

[0005] The purpose of the present invention is to provide a ciliary acoustic wave detection device and method, which utilizes bionic principles and micro-processing technologies such as 3D printing to achieve direct analysis of acoustic wave frequencies, solve the problems of strong dependence on power supply, complex structure, and high algorithm requirements in the prior art, and design an acoustic wave detection device that does not require electrical signal conversion and complex algorithm processing. The bionic ciliary arrays with different aspect ratios respond to the mechanical resonance characteristics of acoustic waves of a specific frequency to achieve low power consumption, high sensitivity, and high selectivity Acoustic wave detection.

[0006] To achieve the above-mentioned purpose, the present invention provides a ciliary acoustic wave detection device, comprising a substrate, a bionic ciliary array, and a vibration detection module. The bionic ciliary array is composed of bionic cilia of different lengths and diameters that simulate the structure of cochlear hair cells. The substrate is in close contact with and connected to the bottom of the bionic cilia. The bionic ciliary array and the substrate are prepared by 3D printing, inverted molding or MEMS (micro-electromechanical system) processing methods.

[0007] Preferably, the bionic cilia array is arranged in a regular array or a gradient structure.

[0008] Preferably, the bionic cilia array is composed of bionic cilia of different lengths and diameters, and the number of bionic cilia is 10-1000.

[0009] Preferably, the cross-sectional area of ​​the bionic cilium is circular, square or other polygonal; the diameter of the bionic cilium is 10 μm-1 mm, and the ratio of length to diameter is 10-100.

[0010] Preferably, the bionic cilia are made of a material with a high elastic modulus and low damping properties, and are capable of generating mechanical resonance to sound waves of a specific frequency.

[0011] Preferably, the base is square or circular.

[0012] Preferably, the vibration detection module is one of direct observation by naked eyes, an optical camera, a micro-displacement detector, a CCD visual sensor, and a piezoelectric sensor.

[0013] The present invention also provides a ciliary acoustic wave detection method, comprising the following steps: S1. Design and manufacture of bionic cilia arrays: According to the requirements of the target sound frequency range, a series of bionic cilia arrays with different length and diameter ratios are prepared and fixed on the substrate. The resonance frequency of each bionic cilia is matched with the sound wave of a specific frequency through theoretical calculation and experimental calibration to ensure that it can produce obvious mechanical resonance under the action of sound waves; S2. Mechanical perception and response of sound waves: When external sound waves act on the bionic cilia array, sound waves of different frequencies will cause the matching bionic cilia to resonate. This frequency selectivity is based on the mechanical resonance characteristics of the bionic cilia, thereby achieving natural resolution of the sound wave frequency. S3, signal output and detection: The vibration of the bionic cilia is detected or recorded by the vibration detection module, thereby determining the frequency information of the external sound wave; S4. Structural optimization and array configuration: By optimizing the arrangement of bionic cilia, high-sensitivity sound wave detection can be achieved in a wide frequency range.

[0014] The advantages and beneficial effects of the present invention using the above-mentioned ciliary acoustic wave detection device and method are: 1. The present invention does not need to rely on electrical signals and complex algorithms. The device is based on the principle of physical resonance and can directly analyze the frequency of sound waves. It does not need to convert sound waves into electrical signals and does not rely on signal processing algorithms, which fundamentally reduces power consumption and dependence on electronic devices.

[0015] 2. Simple and efficient structural design: 3D printing technology makes the preparation process of bionic cilia array simple and flexible. Bionic cilia structures with different aspect ratios can be customized according to needs to meet the needs of multi-band sound wave detection, and the manufacturing cost is relatively low.

[0016] 3. High selectivity and accuracy: Since bionic cilia with different aspect ratios have significant resonant responses to sound waves of specific frequencies, the device has high selectivity and analytical accuracy for sound wave frequencies, and can achieve accurate detection in complex sound wave environments.

[0017] 4. Scalability and multifunctional integration: This technology can be further expanded to multiple application scenarios, such as environmental monitoring, recognition of specific frequency sound waves in medical diagnosis, and even combined with other bionic sensing technologies to achieve multimodal sensing.

[0018] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a schematic diagram of design optimization of the ciliary acoustic wave detection device of the present invention; Figure 2 It is a schematic diagram of a substrate and a bionic ciliary array of a regular array in the ciliary acoustic wave detection device of the present invention; Figure 3 1 is a vibration diagram of the simulated cilia array (diameter 100 μm, aspect ratio 30) of the present invention under the stimulation of sound waves of different frequencies, wherein a is 2100 Hz, b is 2300 Hz, c is 2400 Hz, d is 2500 Hz, and e is 2700 Hz; Figure 4 1 is a comparison diagram of software simulation and experimental test results of bionic cilia arrays with different aspect ratios and their resonance frequencies of the present invention, wherein a is a vibration diagram and a vibration magnification diagram of bionic cilia of d=40µm, b is a comparison diagram of simulation and experimental test results of bionic cilia of d=40µm, c is a vibration diagram and a vibration magnification diagram of bionic cilia of d=100µm, d is a comparison diagram of simulation and experimental test results of bionic cilia of d=100µm, e is a vibration diagram and a vibration magnification diagram of bionic cilia of d=200µm, and f is a comparison diagram of simulation and experimental test results of bionic cilia of d=200µm; Figure 5This is a recognition diagram of the typical 1-7 (do-si) piano music frequency by the ciliary sound wave detection device of the present invention, wherein a is a vibration diagram of the ciliary device under sounds of different frequencies, and b is a vibration amplitude diagram of the ciliary device under sounds of different frequencies; Figure 6 : is a recognition diagram of the typical piano music "Twinkle Twinkle Little Star" by the ciliary sound wave detection device of the present invention, wherein a is a waveform diagram and a corresponding time-frequency diagram of the piano audio signal of the excerpt "Twinkle Twinkle Little Star", and b is a diagram showing the change of the vibration amplitude of the ciliary device under the action of the piano audio signal of the excerpt "Twinkle Twinkle Little Star" over time; Figure 7 It is an identification diagram of different human voice signal frequencies by the ciliary acoustic wave detection device of the present invention, wherein a is a spectrum diagram of male voice audio signal and a corresponding diagram of the vibration amplitude of the ciliary device changing with time, and b is a spectrum diagram of female voice audio signal and a corresponding diagram of the vibration amplitude of the ciliary device changing with time. DETAILED DESCRIPTION

[0020] The technical solution of the present invention is further described below through the accompanying drawings and embodiments.

[0021] Unless otherwise defined, technical or scientific terms used in the present invention shall have the common meanings understood by one having ordinary skills in the field to which the present invention belongs.

[0022] A ciliary acoustic wave detection device, which can operate normally without an external power supply and is suitable for extreme environments or low-power application scenarios, includes a substrate, a bionic ciliary array, and a vibration detection module. The bionic ciliary array is composed of bionic cilia of different lengths and diameters that simulate the structure of cochlear hair cells. The substrate is in close contact with and connected to the bottom of the bionic cilia. The bionic ciliary array and the substrate are prepared by 3D printing, molding or MEMS (micro-electromechanical system) processing methods.

[0023] The arrangement of the bionic cilia array is a regular array or a gradient structure.

[0024] The bionic cilia array is composed of bionic cilia of different lengths and diameters, and the number of bionic cilia is 10-1000.

[0025] The cross-sectional area of ​​the bionic cilia is circular, square or other polygonal; the diameter of the bionic cilia is 10 μm-1 mm, and the ratio of length to diameter is 10-100.

[0026] Bionic cilia are made of materials with high elastic modulus and low damping properties, and can produce mechanical resonance in response to sound waves of specific frequencies.

[0027] The base is square or round and is used to fix the biomimetic ciliary array. Its structural design provides high mechanical stability while allowing moderate flexibility to adapt to different environments.

[0028] The vibration detection module includes any one of different methods such as direct observation with naked eyes, optical camera, micro displacement detector, CCD visual sensor, piezoelectric sensor, etc., which is used to observe or record the vibration changes of cilia. The module outputs the resonance signal of cilia based on other methods such as optics, mechanics or electronics.

[0029] A ciliary acoustic wave detection method comprises the following steps: S1. Design and manufacture of bionic cilia arrays: According to the requirements of the target sound frequency range, a series of bionic cilia arrays with different length and diameter ratios are prepared and fixed on the substrate. The resonance frequency of each bionic cilia is matched with the sound wave of a specific frequency through theoretical calculation and experimental calibration to ensure that it can produce obvious mechanical resonance under the action of sound waves; S2. Mechanical perception and response of sound waves: When external sound waves act on the bionic cilia array, sound waves of different frequencies will cause the matching bionic cilia to resonate, while sound waves of other frequencies will have little effect on the bionic cilia. This frequency selectivity is based on the mechanical resonance characteristics of bionic cilia, thereby achieving natural analysis of sound wave frequencies. S3, signal output and detection: The vibration of the bionic cilia is detected or recorded by the vibration detection module, thereby determining the frequency information of the external sound wave; S4. Structural optimization and array configuration: By optimizing the arrangement of bionic cilia, high-sensitivity sound wave detection can be achieved in a wide frequency range.

[0030] Example 1 A ciliary sound wave detection device, which is composed of a bionic ciliary array with different aspect ratios that simulates the structure of cochlear hair cells. With external sound wave stimulation as the direct excitation source, through the principle of acoustic resonance, sound wave stimulation of different frequencies can cause the resonance of bionic cilia with different aspect ratios, thereby directly realizing the analysis of sound wave frequency (such as Figure 3 By integrating bionic cilia with different natural frequencies into the same array device, the frequency characteristics of complex acoustic wave signals can be analyzed and identified.

[0031] like Figure 2As shown, the device includes a substrate, a bionic cilia array, and a vibration detection module (not shown in the figure). The vibration detection module includes any one of different methods such as direct observation with the naked eye, an optical camera, a micro-displacement detector, a CCD visual sensor, and a piezoelectric sensor. The bionic cilia array and the substrate are prepared by 3D printing, a mold-turning method, or a MEMS (micro-electromechanical system) processing method. The bionic cilia are made of materials with high elastic modulus and low damping characteristics, and can produce mechanical resonance for sound waves of a specific frequency. The substrate is square or circular, and is in close contact and connection with the bottom of the bionic cilia; the bionic cilia array is composed of bionic cilia of different lengths and diameter ratios (aspect ratio), and the number is 10-1000; the cross-sectional area of ​​the bionic cilia is circular, square or other polygonal; the diameter of the bionic cilia is 10μm-1mm, and the aspect ratio is 10-100. Sound is an external acoustic signal, such as a sound wave signal emitted by a sound, a horn, a loudspeaker, a buzzer, etc., which is transmitted to the detection device by air, liquid or solid. When the sound wave signal is transmitted to the bionic cilia array device, due to the acoustic resonance effect, the specific frequency signal in the sound wave signal will trigger the periodic swing of the bionic cilia that is consistent with or close to its resonance frequency, so that the frequency information of the target sound wave signal can be directly recognized by observing the vibration of the bionic cilia in the array. The arrangement of the bionic cilia array is a regular array or a gradient structure.

[0032] A ciliary acoustic wave detection method comprises the following steps: S1. Design and manufacture of bionic cilia arrays: Using 3D printing technology or micro-machining technology such as MEMS, a series of bionic cilia structures with different aspect ratios are prepared according to the requirements of the target sound frequency range. The resonant frequency of each bionic cilia is matched with sound waves of a specific frequency through theoretical calculation and experimental calibration. The bionic cilia material selects polymers with high elastic modulus and low damping characteristics to ensure that it can produce obvious mechanical resonance under the action of sound waves.

[0033] S2. Mechanical perception and response of sound waves: When external sound waves act on the bionic cilia array, sound waves of different frequencies will cause the matching bionic cilia to resonate, while sound waves of other frequencies will have little effect on the bionic cilia. This frequency selectivity is based on the mechanical resonance characteristics of bionic cilia, thus achieving natural resolution of sound wave frequencies.

[0034] S3. Signal output and detection: The vibration of bionic cilia can be detected by optical, mechanical or other non-electrical means. For example, the vibration state of bionic cilia can be observed directly by naked eyes, or combined with micro-displacement detectors or visual sensors to observe or record the vibration state of bionic cilia, thereby determining the frequency information of external sound waves. This design avoids the complexity of traditional acoustic signal processing and analysis, allowing the device to operate normally even in extreme cases without power supply.

[0035] S4. Structural optimization and array configuration: By optimizing the arrangement of bionic cilia, such as regular array or gradient structure, high-sensitivity sound wave detection can be achieved in a wide frequency range. The base design of bionic cilia has high mechanical stability, ensuring that the device is not easily damaged when vibrated, and has a certain degree of flexibility to adapt to the use requirements of complex environments.

[0036] Example 2 The bionic cilia array and substrate of the cilia-type acoustic wave detection device are prepared by 3D printing technology. First, the special function and structure of the cilia of the cochlear hair cells are simulated, and a bionic cilia array structure that is easy to prepare is designed and optimized (such as Figure 1 As shown), such as 3×3, 4×4, 5×5 array structures, the diameter of the bionic cilia is 40, 100, 200μm, etc., the aspect ratio of the bionic cilia is 30-100, etc. Subsequently, 3D printing technology such as SLA stereo light curing 3D printing technology is used to select materials with high elastic modulus (such as high temperature resistant resin materials) to prepare the designed bionic cilia array device. After the preparation is completed, a resonance experiment is performed to ensure that the bionic cilia can produce significant mechanical resonance under the action of sound waves, and the characteristic frequency of the bionic cilia array is actually measured. Combined with the test results and software simulation experiment results, it can be seen that the characteristic frequency range of the prepared bionic cilia is 50Hz-6kHz (such as Figure 4 As shown), it basically covers the main frequency range of common audible sound waves.

[0037] Example 3 According to the target sound wave frequency range, the required bionic ciliary array aspect ratio range is calculated according to the corresponding relationship between the characteristic frequency of the ciliary sound wave detection device and the aspect ratio of the bionic ciliary hair, ensuring that the resonant frequency range of the bionic ciliary array matches the target sound wave frequency range. Then, the ciliary sound wave detection device for detecting the target sound wave signal is prepared using 3D printing technology. The bionic cilia are arranged on the substrate according to the design to form a regular array or gradient structure to cover the required frequency range.

[0038] According to the pitch range of piano music, a ciliary sound wave detection device covering 1-7 (do, ri, mi, la, sol, la, si) was designed and prepared, with a characteristic frequency range of 128-244 Hz (such as Figure 5 As shown). The cilia-type acoustic wave detection device is placed on the audio device. When playing different piano music, such as "Twinkle Twinkle Little Star", the corresponding cilia can resonate when the tone signal of a specific frequency appears, thereby realizing the frequency decoding and recognition of the acoustic wave signal of the piano music. The resonance of the bionic cilia array with the acoustic wave signal is recorded by an optical camera, and the result is similar to the time-frequency diagram of the music obtained by the software algorithm (as shown Figure 6 as shown).

[0039] Based on the main frequency range of human voice, a ciliary sound wave detection device with a characteristic frequency of 100-500Hz was designed and prepared. When different sound signals of men and women are played through audio equipment, such as the same word "drug delivery", the ciliary sound wave detection device can identify and decode the frequency characteristic information of the sound signal. The resonance of the ciliary array with the sound wave signal is recorded by an optical camera, and the results are similar to the time-frequency diagram results obtained by software analysis (such as Figure 7 As shown in the figure), the function of identifying sound wave signals without complex algorithms is realized.

[0040] Therefore, the present invention adopts the above-mentioned ciliary acoustic wave detection device and method, utilizes bionic principles and micro-processing technologies such as 3D printing to realize direct analysis of acoustic wave frequency, solves the problems of strong dependence on power supply, complex structure, high algorithm requirements, etc. in the prior art, and designs an acoustic wave detection device that does not require electrical signal conversion and complex algorithm processing. The bionic ciliary array with different aspect ratios responds to the mechanical resonance characteristics of acoustic waves of specific frequencies, thereby realizing low power consumption, high sensitivity and high selectivity of acoustic wave detection.

[0041] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that they can still modify or replace the technical solution of the present invention with equivalents, and these modifications or equivalent replacements cannot cause the modified technical solution to deviate from the spirit and scope of the technical solution of the present invention.

Claims

1. A ciliary acoustic wave detection device, characterized in that: It includes a substrate, a bionic cilia array, and a vibration detection module. The bionic cilia array is composed of bionic cilia of different lengths and diameters that simulate the structure of cochlear hair cells. The substrate is in close contact with and connected to the bottom of the bionic cilia. The bionic cilia array and the substrate are prepared by 3D printing, molding or MEMS processing methods.

2. A ciliary acoustic wave detection device according to claim 1, characterized in that: The bionic cilia array is arranged in a regular array or a gradient structure.

3. A ciliary acoustic wave detection device according to claim 1, characterized in that: The number of bionic cilia in the bionic cilia array is 10-1000.

4. A ciliary acoustic wave detection device according to claim 1, characterized in that: The cross-sectional area of ​​the bionic cilium is circular, square or other polygonal, the diameter of the bionic cilium is 10 μm-1 mm, and the ratio of length to diameter is 10-100.

5. The ciliary acoustic wave detection device according to claim 1, characterized in that: The bionic cilia are made of a material with high elastic modulus and low damping characteristics, and can generate mechanical resonance to sound waves of a specific frequency.

6. A ciliary acoustic wave detection device according to claim 1, characterized in that: The base is square or circular.

7. A ciliary acoustic wave detection device according to claim 1, characterized in that: The vibration detection module is one of direct observation by naked eyes, an optical camera, a micro-displacement detector, a CCD visual sensor, and a piezoelectric sensor.

8. A ciliary acoustic wave detection method, implemented by the detection device according to any one of claims 1 to 7, characterized in that: The steps include: S1. Design and manufacture of bionic cilia arrays: According to the requirements of the target sound frequency range, a series of bionic cilia arrays with different length and diameter ratios are prepared and fixed on the substrate. The resonance frequency of each bionic cilia is matched with the sound wave of a specific frequency through theoretical calculation and experimental calibration to ensure that it can produce obvious mechanical resonance under the action of sound waves; S2. Mechanical perception and response of sound waves: When external sound waves act on the bionic cilia array, sound waves of different frequencies will cause the matching bionic cilia to resonate. This frequency selectivity is based on the mechanical resonance characteristics of the bionic cilia, thereby achieving natural resolution of the sound wave frequency. S3, signal output and detection: The vibration of the bionic cilia is detected or recorded by the vibration detection module, thereby determining the frequency information of the external sound wave; S4. Structural optimization and array configuration: By optimizing the arrangement of bionic cilia, high-sensitivity sound wave detection can be achieved in a wide frequency range.

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