Cilia-type acoustic wave detection device and method

Abstract

The application belongs to the technical field of acoustic wave detection, and specifically discloses a cilium type acoustic wave detection device and method. The detection device comprises a substrate, a bionic cilium array and a vibration detection module. The bionic cilium array is composed of bionic cilia with different lengths and diameters simulating the structure of cochlear hair cells. The substrate is in close contact with the bottom of the bionic cilium and is connected. The bionic cilium array and the substrate are prepared by 3D printing, reverse mold method or MEMS processing method. The application adopts the above-mentioned cilium type acoustic wave detection device and method, directly analyzes the frequency of the acoustic wave by using the bionics principle and micro-processing technologies such as 3D printing, solves the problems of strong dependence on power supply, complex structure, high algorithm requirement and the like in the prior art, realizes the mechanical resonance characteristics of the bionic cilium array with different length-diameter ratios in response to a specific frequency acoustic wave, and realizes low power consumption, high sensitivity and high selectivity of acoustic wave detection.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of acoustic wave detection, in particular to a cilium type acoustic wave detection device and method. BACKGROUND

[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 driven progress in many fields. Currently, the mainstream sound detection method mainly relies 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 moving 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 have a high dependence on power supply and require complex algorithms to support. For example, Fourier transform and other frequency domain analysis methods are core technologies in modern sound signal processing, but this method not only requires computing power, but also may be affected by noise, thereby affecting the detection accuracy. In addition, to improve detection performance, sensors often require high-sensitivity 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 without electronic signals and complex algorithm support has become an important research direction to solve the limitations of existing technology. Acoustic wave detection technology based on 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 designing new acoustic wave detection devices, and is expected to achieve low power consumption, no power supply, and simple structure for direct analysis of acoustic wave frequency. SUMMARY

[0005] The purpose of the present application is to provide a cilium type acoustic wave detection device and method, which utilizes bionics principles and 3D printing and other microfabrication technologies to directly analyze the frequency of sound waves, solves the problems of strong dependence on power supply, complex structure and high algorithm demand in the prior art, designs an acoustic wave detection device without electrical signal conversion and complex algorithm processing, and realizes low power consumption, high sensitivity and high selectivity of acoustic wave detection through the mechanical resonance characteristics of the bionic cilium array of different length-diameter ratios in response to specific frequency sound waves.

[0006] In order to achieve the above object, the application provides a cilia type sound wave detection device, which comprises a substrate, a biomimetic cilia array and a vibration detection module, wherein the biomimetic cilia array is composed of biomimetic cilia with different lengths and diameters simulating the structure of cochlear hair cells, the substrate is in close contact with the bottom of the biomimetic cilia array and is connected, and the biomimetic cilia array and the substrate are prepared by 3D printing, reverse mold method or MEMS (micro-electro-mechanical system) processing method.

[0007] Preferably, the arrangement mode of the biomimetic cilia array is a regular array or a gradient structure.

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

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

[0010] Preferably, the biomimetic cilia is made of a material with high elastic modulus and low damping characteristics, and can produce mechanical resonance to sound waves of specific frequency.

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

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

[0013] The application further provides a cilia type sound wave detection method, which comprises the following steps:

[0014] S1, design and manufacture of the biomimetic cilia array: according to the requirement of the target sound frequency range, a series of biomimetic cilia arrays with different length-diameter ratios are prepared and fixed on the substrate, the resonance frequency of each biomimetic cilia is matched with the sound wave of specific frequency through theoretical calculation and experimental calibration, and the mechanical resonance of the biomimetic cilia under the action of the sound wave is ensured to be obvious;

[0015] S2, mechanical perception and response of the sound wave: when the external sound wave acts on the biomimetic cilia array, the sound wave of different frequencies will cause the biomimetic cilia matched therewith to resonate, and the frequency selectivity is based on the mechanical resonance characteristics of the biomimetic cilia, so that the natural analysis of the sound wave frequency is realized;

[0016] S3, signal output and detection: the vibration of the biomimetic cilia is detected or recorded by the vibration detection module, so as to determine the frequency information of the external sound wave;

[0017] S4, structure optimization and array configuration: by optimizing the arrangement of bionic cilia, high sensitivity acoustic wave detection in a wide frequency range is ensured.

[0018] The advantages and beneficial effects of the cilia type acoustic wave detection device and method of the present application are:

[0019] 1. The present application does not rely on electrical signals and complex algorithms. Based on the principle of physical resonance, the device can directly analyze the frequency of the acoustic wave without converting the acoustic wave into an electrical signal and relying on signal processing algorithms, thereby fundamentally reducing power consumption and dependence on electronic devices.

[0020] 2. Simple and efficient structure design: 3D printing technology makes the preparation process of bionic cilia array simple and flexible. Different aspect ratio of bionic cilia structure can be customized according to demand to meet the demand of multi-band acoustic wave detection, and the manufacturing cost is relatively low.

[0021] 3. High selectivity and precision: due to the significant resonance response of bionic cilia with different aspect ratios to specific frequency acoustic waves, the device has high selectivity and resolution accuracy for acoustic wave frequency, and can realize accurate detection in complex acoustic wave environment.

[0022] 4. Scalability and multifunctional integration: the technology can be further extended to multi-scenario applications, such as specific frequency acoustic wave recognition in environmental monitoring and medical diagnosis, and even combined with other bionic sensing technologies to realize multi-modal sensing.

[0023] The technical solutions of the present application will be further described in detail below through the drawings and examples. BRIEF DESCRIPTION OF DRAWINGS

[0024] Figure 1 is the design optimization schematic diagram of the cilia type acoustic wave detection device of the present application;

[0025] Figure 2 is the schematic diagram of the substrate and regular array of bionic cilia array in the cilia type acoustic wave detection device of the present application;

[0026] Figure 3 is the vibration diagram of the simulation cilia array (diameter 100 μm, aspect ratio 30) under different frequency acoustic wave stimulation, wherein a is 2100 Hz, b is 2300 Hz, c is 2400 Hz, d is 2500 Hz, and e is 2700 Hz;

[0027] Figure 4are the comparison diagrams of software simulation and experimental test results of different length-diameter ratio of the present application's biomimetic cilium array and its resonance frequency, wherein a is the d = 40 µm biomimetic cilium vibration diagram and vibration amplification diagram, b is the d = 40 µm biomimetic cilium simulation and experimental test result comparison diagram, c is the d = 100 µm biomimetic cilium vibration diagram and vibration amplification diagram, d is the d = 100 µm biomimetic cilium simulation and experimental test result comparison diagram, e is the d = 200 µm biomimetic cilium vibration diagram and vibration amplification diagram, and f is the d = 200 µm biomimetic cilium simulation and experimental test result comparison diagram;

[0028] Figure 5 are the recognition diagrams of the present application's cilium type sound wave detection device for typical 1-7 (do-si) piano music frequencies, wherein a is the cilium device vibration diagram under different frequency sounds, and b is the cilium device vibration amplitude diagram under different frequency sounds;

[0029] Figure 6 are the recognition diagrams of the present application's cilium type sound wave detection device for typical piano music "Little Star", wherein a is the wave diagram of the selected "Little Star" piano audio signal and the corresponding time-frequency diagram, and b is the vibration amplitude-time change diagram of the cilium device under the action of the selected "Little Star" piano audio signal;

[0030] Figure 7 are the recognition diagrams of the present application's cilium type sound wave detection device for different human voice signal frequencies, wherein a is the spectrum diagram of the male voice audio signal and the corresponding vibration amplitude-time change diagram of the cilium device, and b is the spectrum diagram of the female voice audio signal and the corresponding vibration amplitude-time change diagram of the cilium device. DETAILED DESCRIPTION

[0031] The technical solutions of the present application are further described below through the drawings and examples.

[0032] Unless otherwise defined, the technical terms or scientific terms used in the present application shall have the usual meanings understood by those skilled in the art to which the present application belongs.

[0033] A cilium type sound wave detection device, which can normally operate without external power supply, is suitable for extreme environment or low power consumption application scenarios, and comprises a substrate, a biomimetic cilium array and a vibration detection module. The biomimetic cilium array is composed of biomimetic cilia simulating the structure of cochlear hair cells with different lengths and diameters. The substrate is in close contact with and connected to the bottom of the biomimetic cilium. The biomimetic cilium array and the substrate are prepared by 3D printing, reverse molding or MEMS (Micro Electro Mechanical System) processing method.

[0034] The arrangement mode of the biomimetic cilium array is a regular array or a gradient structure.

[0035] The biomimetic cilium array is composed of biomimetic cilia with different lengths and diameters, and the number of biomimetic cilia is 10-1000.

[0036] The cross-sectional area of the biomimetic cilium is circular, square or other polygonal shape; the diameter of the biomimetic cilium is 10 μm-1 mm, and the length-diameter ratio is 10-100.

[0037] The biomimetic cilium is made of a material with high elastic modulus and low damping characteristics, and can produce mechanical resonance to sound waves of a specific frequency.

[0038] The base is square or circular. It is used to fix the biomimetic cilium array, and its structure design provides high mechanical stability while allowing moderate flexibility to adapt to different environments.

[0039] The vibration detection module includes any one of different methods such as naked eye direct observation, optical camera, micro displacement detector, CCD vision sensor, piezoelectric sensor, etc., for observing or recording the vibration change of the cilium. The module outputs the resonance signal of the cilium based on optical, mechanical or electronic and other ways.

[0040] A cilium type sound wave detection method, comprising the following steps:

[0041] S1, design and manufacture of biomimetic cilium array: according to the demand of target sound frequency range, a series of biomimetic cilium arrays with different length and diameter ratio are prepared and fixed on the base, the resonance frequency of each biomimetic cilium is calibrated by theoretical calculation and experiment, and matched with the sound wave of a specific frequency, to ensure that it can produce obvious mechanical resonance under the action of sound wave;

[0042] S2, mechanical perception and response of sound wave: when external sound wave acts on the biomimetic cilium array, different frequency sound waves will cause the biomimetic cilium matched with them to resonate, while the influence of sound waves with other frequencies on the biomimetic cilium is small. This frequency selectivity is based on the mechanical resonance characteristics of the biomimetic cilium, so as to realize the natural analysis of sound wave frequency;

[0043] S3, signal output and detection: the vibration of the biomimetic cilium is detected or recorded by the vibration detection module to determine the frequency information of the external sound wave;

[0044] S4, structure optimization and array configuration: by optimizing the arrangement mode of the biomimetic cilium, high sensitivity sound wave detection in a wide frequency range is ensured.

[0045] Example 1

[0046] A kind of cilia type acoustic wave detection device, device is made of different length-diameter ratio biomimetic cilia array simulating cochlear hair cell structure.External sound wave stimulation is directly excited source, through acoustic resonance principle, different frequency acoustic wave stimulation can cause the resonance of different length-diameter ratio biomimetic cilia, so that the frequency analysis of sound wave (such as Figure 3 As shown) can be directly realized.By integrating biomimetic cilia with different natural frequencies in the same array device, the frequency characteristics of complex sound wave signals can be analyzed and identified.

[0047] As Figure 2 As shown, the device includes a substrate, a biomimetic cilia array, a vibration detection module (not shown in the figure), the vibration detection module includes any one of different methods such as naked eye direct observation, optical camera, micro displacement detector, CCD vision sensor, piezoelectric sensor. The biomimetic cilia array and the substrate are prepared by 3D printing, reverse molding or MEMS (Micro Electro Mechanical System) processing method. The biomimetic cilia is made of materials with high elastic modulus and low damping characteristics, which can produce mechanical resonance to specific frequency sound waves. The substrate is square or circular, in close contact with the bottom of the biomimetic cilia and connected; the biomimetic cilia array is composed of biomimetic cilia with different lengths and diameter ratios (length-diameter ratio), the number is 10-1000; the cross-sectional area of the biomimetic cilia is circular, square or other polygon; the diameter of the biomimetic cilia is 10 μm-1 mm, and the length-diameter ratio is 10-100. The sound is an external acoustic signal, such as sound wave signal emitted by sound, loudspeaker, loudspeaker, buzzer, etc., conducted to the detection device by air, liquid or solid. When the sound wave signal is conducted to the biomimetic cilia array device, due to the acoustic resonance effect, the specific frequency signal in the sound wave signal will cause the periodic swing of the biomimetic cilia with the same or close resonance frequency, so that the identification of the frequency information of the target sound wave signal can be directly realized by observing the vibration of the biomimetic cilia in the array. The arrangement of the biomimetic cilia array is regular array or gradient structure.

[0048] A cilia type acoustic wave detection method, comprising the following steps:

[0049] S1, design and manufacture of biomimetic cilia array: using 3D printing technology or MEMS microfabrication technology, according to the demand of target sound frequency range, a series of biomimetic cilia structures with different length-diameter ratio are prepared. The resonance frequency of each biomimetic cilia is matched with the sound wave of specific frequency through theoretical calculation and experimental calibration. The biomimetic cilia material is selected from polymers with high elastic modulus and low damping characteristics, to ensure that it can produce obvious mechanical resonance under the action of sound wave.

[0050] S2, Mechanical sensing and response of acoustic waves: When external acoustic waves act on the biomimetic cilium array, acoustic waves of different frequencies will cause resonance of the biomimetic cilia matched with them, while acoustic waves of other frequencies have little effect on the biomimetic cilia. This frequency selectivity is based on the mechanical resonance characteristics of the biomimetic cilia, thereby realizing the natural analysis of the frequency of acoustic waves.

[0051] S3, Signal output and detection: The vibration of the biomimetic cilia can be detected by optical, mechanical or other non-electric methods. For example, the vibration state of the biomimetic cilia can be observed or recorded by the naked eye, or combined with a micro displacement detector or a visual sensor, thereby determining the frequency information of the external acoustic waves. This design avoids the complexity of traditional acoustic signal processing and analysis, so that the device can operate normally even in the extreme case of no power supply.

[0052] S4, Structure optimization and array configuration: By optimizing the arrangement of the biomimetic cilia, such as regular array or gradient structure, high sensitivity acoustic wave detection in a wide frequency range is ensured. The base design of the biomimetic cilia has high mechanical stability, ensuring that the device is not easily damaged when vibrating, while having a certain flexibility to meet the use requirements of complex environments.

[0053] Example 2

[0054] The biomimetic cilium array and base of the cilium type acoustic wave detection device are prepared by 3D printing technology. First, the special functions and structures of cochlear hair cell cilia are simulated to design and optimize the biomimetic cilium array structure (such as shown in Figure 1 ), such as 3x3, 4x4, 5x5 array structure, biomimetic cilium diameter of 40, 100, 200 μm, etc., and biomimetic cilium aspect ratio of 30-100, etc. Then, using 3D printing technology such as SLA stereolithography 3D printing technology, materials with high elastic modulus (such as high-temperature resistant resin materials) are selected to prepare the designed biomimetic cilium array device. After preparation, through resonance experiment, it is ensured that the biomimetic cilia can produce significant mechanical resonance under the action of acoustic waves, and the characteristic frequency of the biomimetic cilium array is actually measured. Combined with the test results and software simulation experiment results, it is known that the characteristic frequency range of the prepared biomimetic cilia is 50 Hz-6 kHz (as shown in Figure 4 ), which basically covers the main frequency range of common audible acoustic waves.

[0055] Example 3

[0056] According to the frequency range of the detected sound wave, the length-diameter ratio range of the required biomimetic cilium array is calculated according to the corresponding relationship between the characteristic frequency of the cilium type sound wave detection device and the length-diameter ratio of the biomimetic cilium, so as to ensure that the resonance frequency range of the biomimetic cilium array matches the target sound wave frequency range. Then, the cilium type sound wave detection device for detecting the target sound wave signal is prepared by using the 3D printing technology. The biomimetic cilia are arranged on the substrate according to the design to form a regular array or a gradient structure to cover the required frequency range.

[0057] According to the pitch range of the piano music, a cilium type sound wave detection device covering 1-7 (do, ri, mi, la, sol, la, si) is designed and prepared, and the characteristic frequency range is 128-244Hz (as shown in Figure 5 The cilium type sound wave detection device is placed on the sound device, and when different piano music such as 'Little Star' is played, the corresponding cilium can resonate when the specific frequency tone signal appears, so as to realize the frequency decoding and identification of the sound wave signal of the piano music. The resonance of the biomimetic cilium array with the sound wave signal is recorded by an optical camera, and the result is similar to the time-frequency diagram result of the music obtained by the software algorithm (as shown in Figure 6

[0058] According to the main frequency range of the human voice, a cilium type sound wave detection device with a characteristic frequency of 100-500Hz is designed and prepared. When different sound signals of men and women such as the same word 'drug delivery' are played by the sound device, the cilium type sound wave detection device can identify and decode the frequency characteristic information of the sound signal. The resonance of the cilium array with the sound wave signal is recorded by an optical camera, and the result is similar to the time-frequency diagram result obtained by software analysis (as shown in Figure 7

[0059] Therefore, by using the above-mentioned cilium type sound wave detection device and method, the direct analysis of the sound wave frequency is realized by using the bionics principle and 3D printing and other micro-processing technologies, the problems of strong dependence on power supply, complex structure and high algorithm requirement in the prior art are solved, a sound wave detection device without electric signal conversion and complex algorithm processing is designed, the mechanical resonance characteristics of the biomimetic cilium array with different length-diameter ratios in response to the specific frequency sound wave are used to realize the low-power-consumption, high-sensitivity and high-selectivity sound wave detection.

[0060] ​​It should be pointed out finally that the above examples are only used to illustrate the technical solutions of the present application but not to limit it, and although the present application has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solutions of the present application can still be modified or replaced equivalently, and these modifications or equivalent replacements should not make the modified technical solutions deviate from the spirit and scope of the technical solutions of the present application.

Claims

1. A method of detecting a cilia-type acoustic wave by a cilia-type acoustic wave detection device, characterized by: The application relates to a cilia type sound wave detection device, which comprises a substrate, a biomimetic cilia array and a vibration detection module, wherein the biomimetic cilia array is composed of biomimetic cilia with different lengths and diameters simulating the structure of cochlear hair cells, the biomimetic cilia have a diameter of 10-1mm, a length-diameter ratio of 10-100, the substrate is in close contact with the bottom of the biomimetic cilia and is connected, and the biomimetic cilia array and the substrate are prepared by 3D printing, a reverse mold method or a MEMS processing method; and the arrangement mode of the biomimetic cilia array is a regular array or a gradient structure. The biomimetic cilia are made of materials with high elastic modulus and low damping characteristics, and can produce mechanical resonance to sound waves of specific frequencies. The vibration detection module is one of an optical camera, a micro displacement detector, a CCD vision sensor and a piezoelectric sensor. A cilia type sound wave detection method realized by the cilia type sound wave detection device comprises the following steps: S1. Design and manufacture of the biomimetic cilia array: according to the requirement of the target sound frequency range, a series of biomimetic cilia arrays with different length-diameter ratios are prepared and fixed on the substrate, the resonance frequency of each biomimetic cilia is matched with the sound wave of a specific frequency through theoretical calculation and experimental calibration, and the mechanical resonance of the biomimetic cilia under the action of the sound wave is ensured to be obvious; S2. Mechanical perception and response of the sound wave: when external sound waves act on the biomimetic cilia array, sound waves of different frequencies can cause the biomimetic cilia matched therewith to resonate, and the frequency selectivity is based on the mechanical resonance characteristics of the biomimetic cilia, so that the natural analysis of the sound wave frequency is realized; S3. Signal output and detection: the vibration of the biomimetic cilia is detected or recorded by the vibration detection module, so as to determine the frequency information of the external sound wave; S4. Structure optimization and array configuration: the arrangement mode of the biomimetic cilia is optimized to ensure high sensitivity of the sound wave detection in a wide frequency range.

2. The detection method of claim 1, wherein: The number of the biomimetic cilia in the biomimetic cilia array is 10-1000.

3. The method of claim 1, wherein: The cross-sectional area of the biomimetic cilia is circular, square or other polygonal.

4. The method of claim 1, wherein: The substrate is square or circular.

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