Impedance matching layer-based conditioning method and apparatus, ultrasonic transducer, and medium

Abstract

The embodiment of the application provides a kind of based on impedance matching layer adjusting method and device, ultrasonic transducer and medium, belong to ultrasonic wave device technical field.The method is applied to impedance matching component, impedance matching component includes: pipeline, pipeline is equipped with the adjusting member moving in pipeline, adjusting member divides pipeline into at least two cavity regions, each cavity region is equipped with adjustable medium layer;The method comprises: by constructing the target transmittance estimation model of target medium layer, and target medium layer includes: adjusting member, measured object and adjustable medium layer;Obtain target transmittance, and according to target transmittance and original transmittance estimation model carry out thickness value measurement, obtain estimated thickness value;According to estimated thickness value, adjusting member is moved in pipeline to adjust each adjustable medium layer to reach estimated thickness value.The embodiment of the application can be suitable for a variety of scenarios in ultrasonic detection, and simple operation.

Description

Technical Field

[0001] This application relates to the field of ultrasonic device technology, and in particular to an adjustment method and device based on an impedance matching layer, an ultrasonic transducer and a medium. Background Technology

[0002] The impedance matching layer of an ultrasonic transducer is designed for a specific target medium. It is typically located between the ultrasonic transducer and the target medium to reduce the impedance between them, allowing the ultrasonic waves emitted by the transducer to penetrate the target medium and reach the object being measured, before the reflected waves are transmitted back to the transducer. Therefore, the design of the impedance matching layer affects the transmission and reception of ultrasonic waves.

[0003] In related technologies, impedance matching layers are layered devices made of a single material with a fixed structure, and are only applicable to target media layers of a single material. If the material of the target medium is changed, the ultrasonic waves emitted by the ultrasonic transducer cannot penetrate it. For example, if the impedance matching layer can penetrate a target medium made of water, when the ultrasonic transducer needs to be applied to a skull scenario, the high impedance of the skull prevents the ultrasonic energy from penetrating, resulting in inaccurate acquisition of reflected ultrasonic waves by the ultrasonic transducer. Therefore, improving the applicability of impedance matching layers to target media of different materials has become an urgent technical problem to be solved. Summary of the Invention

[0004] The main objective of this application is to propose an adjustment method and device, an ultrasonic transducer and a medium based on an impedance matching layer, which can change the transmittance by moving the position of the adjustment component to be applicable to different medium layers.

[0005] To achieve the above objectives, a first aspect of this application proposes an adjustment method based on an impedance matching layer, the method comprising:

[0006] An impedance matching component is applied to an impedance matching assembly, the impedance matching assembly comprising: a conduit, the conduit having an adjusting member that moves within the conduit, the adjusting member moving to divide the conduit into at least two cavity regions, each cavity region having an adjustable dielectric layer; the method comprising:

[0007] Obtain the original transmittance prediction model; wherein, the original transmittance prediction model characterizes the relationship between the transmittance of the ultrasonic wave after passing through the target medium layer and the medium parameters of the target medium layer; wherein, the target medium layer includes: an adjustment element, the test object, and the adjustable medium layer, and the medium parameters include: impedance value and thickness value.

[0008] Obtain the medium parameters of the test object to obtain the reference medium parameters, obtain the medium parameters of the adjustment component to obtain the component medium parameters, and obtain the impedance value of the adjustable dielectric layer to obtain the selected impedance value.

[0009] The reference medium parameters, the component medium parameters, and the selected impedance value are input into the original transmittance prediction model for model reconstruction to obtain the target transmittance prediction model; wherein, the target transmittance prediction model characterizes the relationship between the thickness of the adjustable medium layer and the transmittance;

[0010] Obtain the target transmittance, and measure the thickness value based on the target transmittance and the original transmittance prediction model to obtain the predicted thickness value;

[0011] The adjusting member is moved within the pipe according to the estimated thickness value to adjust each of the adjustable media layers to achieve the estimated thickness value.

[0012] In some embodiments, prior to obtaining the original transmittance prediction model, the method further includes:

[0013] The construction of the original transmittance prediction model specifically includes:

[0014] The candidate medium parameters are obtained by acquiring the medium parameters of each candidate medium layer.

[0015] Acquire the acoustic wave transmission data of the candidate medium layer; wherein, the acoustic wave transmission data is the sound pressure data and sound velocity data of the ultrasonic wave of a preset frequency after passing through each candidate medium layer;

[0016] A model is constructed based on the acoustic wave transmission data and the candidate medium parameters to obtain a candidate transmittance prediction model; wherein, the candidate transmittance prediction model characterizes the relationship between the candidate medium parameters of each candidate medium layer and the acoustic wave transmission data;

[0017] Obtain the target medium parameters by acquiring the medium parameters of the target medium layer;

[0018] The candidate transmittance prediction models are screened based on the target medium parameters to obtain the original transmittance prediction model.

[0019] In some embodiments, the acoustic wave transmission data includes: incident sound pressure data and reflected sound pressure data for each of the candidate medium layers, and incident sound velocity data and reflected sound velocity data for each of the candidate medium layers; the step of constructing a model based on the acoustic wave transmission data and the candidate medium parameters to obtain a candidate transmittance prediction model includes:

[0020] The incident sound pressure data and the reflected sound pressure data of each candidate medium layer are used to construct a continuous sound pressure model.

[0021] The incident sound velocity data and the reflected sound velocity data of each candidate medium layer are used to construct a continuous sound velocity model.

[0022] The phase transformation matrix is ​​obtained by performing a phase transformation measurement based on the preset sound velocity and sound pressure mapping relationship, the sound pressure continuity model, and the sound velocity continuity model;

[0023] The candidate transmittance prediction model is constructed based on the phase change matrix and the candidate medium parameters.

[0024] In some embodiments, the target medium parameters include: a target impedance value and a target thickness value; the step of performing model screening processing on the candidate transmittance prediction models based on the target medium parameters to obtain the original transmittance prediction model includes:

[0025] The candidate transmittance prediction models are screened based on the target impedance value to obtain the selected transmittance prediction model.

[0026] The parameters of the selected transmittance prediction model are adjusted based on the target thickness value to obtain the original transmittance prediction model.

[0027] In some embodiments, the reference medium parameters include: a reference impedance value and a reference thickness value; the component medium parameters include: a component impedance value and a component thickness value; the reference medium parameters, the component medium parameters, and the reference impedance value are input into the original transmittance prediction model for model reconstruction to obtain a target transmittance prediction model, including:

[0028] The model parameters of the original transmittance prediction model are replaced by the reference impedance value, the component impedance value, and the selected impedance value to obtain a preliminary transmittance prediction model.

[0029] The model parameters of the preliminary transmittance prediction model are changed based on the reference thickness value and the component thickness value to obtain the target transmittance prediction model.

[0030] In some embodiments, after replacing the model parameters of the preliminary transmittance prediction model based on the reference thickness value and the component thickness value to obtain the target transmittance prediction model, the method further includes:

[0031] Updating the target transmittance prediction model specifically includes:

[0032] Obtain the updated media parameters of the target media layer to obtain the media update parameters;

[0033] The target transmittance prediction model is updated based on the medium update parameters.

[0034] In some embodiments, the pipe has a graduated groove, and the adjusting member has a bolt that moves along the graduated groove; the step of moving the adjusting member within the pipe according to the estimated thickness value to adjust each adjustable medium layer to reach the estimated thickness value includes:

[0035] A scale conversion process is performed based on the estimated thickness value of each adjustable dielectric layer to obtain the target scale value;

[0036] The bolt is moved along the scale groove to the target scale value, thereby driving the adjusting member to bring the thickness of the adjustable medium layer to the estimated thickness value.

[0037] To achieve the above objectives, a second aspect of this application provides an ultrasonic transducer, comprising: an impedance matching component and an ultrasonic source; the impedance matching component comprises: a pipe, the pipe having an adjusting member that moves within the pipe, the pipe having a graduated groove, the adjusting member having a bolt that moves along the graduated groove, the bolt moving to drive the adjusting member to divide the pipe into at least two cavity regions, each cavity region having an adjustable dielectric layer.

[0038] To achieve the above objectives, a third aspect of this application provides an adjustment device based on an impedance matching layer, applied to an impedance matching assembly. The impedance matching assembly includes: a pipe, wherein the pipe is provided with an adjustment member that moves within the pipe, the adjustment member moving to divide the pipe into at least two cavity regions, each cavity region being provided with an adjustable dielectric layer; the device includes:

[0039] The model acquisition module is used to acquire the original transmittance prediction model; wherein, the original transmittance prediction model characterizes the relationship between the transmittance of the ultrasonic wave after passing through the target medium layer and the medium parameters of the target medium layer; wherein, the target medium layer includes: an adjustment element, the test object, and the adjustable medium layer, and the medium parameters include: impedance value and thickness value.

[0040] The parameter acquisition module is used to acquire the medium parameters of the test object to obtain the reference medium parameters, acquire the medium parameters of the adjustment component to obtain the component medium parameters, and acquire the impedance value of the adjustable dielectric layer to obtain the selected impedance value.

[0041] The model reconstruction module is used to input the reference medium parameters, the component medium parameters, and the selected impedance value into the original transmittance prediction model for model reconstruction to obtain the target transmittance prediction model; wherein, the target transmittance prediction model characterizes the relationship between the thickness value of the adjustable medium layer and the transmittance;

[0042] The thickness measurement module is used to obtain the target transmittance and measure the thickness value based on the target transmittance and the original transmittance prediction model to obtain the predicted thickness value.

[0043] A position adjustment module is used to move the adjustment member within the pipe according to the estimated thickness value, so as to adjust each of the adjustable medium layers to reach the estimated thickness value.

[0044] To achieve the above objectives, a fourth aspect of the present application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the method described in the first aspect.

[0045] This application proposes an adjustment method and device based on an impedance matching layer, an ultrasonic transducer, and a medium. By installing an adjustment element within a pipe, the adjustable medium within the pipe is divided into zones, thereby achieving automatic control of the adjustable medium thickness. After determining how much medium the ultrasonic wave will pass through, a corresponding target transmittance prediction model is constructed. Once the target transmittance is determined, the predicted thickness of the adjustable medium can be calculated based on the target transmittance and the target transmittance prediction model. The movement of the adjustment element is then controlled according to the predicted thickness value to achieve impedance matching of the adjustable medium. This allows the ultrasonic energy to completely penetrate the passed medium layer, completing ultrasonic detection. This makes ultrasonic detection applicable to various scenarios and easy to operate. Attached Figure Description

[0046] Figure 1 This is a schematic diagram of the structure of the ultrasonic transducer provided in the embodiments of this application;

[0047] Figure 2 This is a flowchart of the adjustment method based on the impedance matching layer provided in the embodiments of this application;

[0048] Figure 3 This is a flowchart of an adjustment method based on an impedance matching layer provided in another embodiment of this application;

[0049] Figure 4 This is a schematic diagram of ultrasonic wave propagation in the target medium layer in the impedance matching layer-based adjustment method provided in this application embodiment;

[0050] Figure 5 yes Figure 3 The flowchart of step S303 in the process;

[0051] Figure 6 This is a schematic diagram of the propagation of ultrasonic waves in multiple dielectric layers in the impedance matching layer-based modulation method provided in this application embodiment;

[0052] Figure 7 yes Figure 3 The flowchart of step S305 in the text;

[0053] Figure 8 yes Figure 2 The flowchart of step S203 in the process;

[0054] Figure 9a This is a graph showing the relationship between ultrasonic waves of different frequencies and transmittance in the impedance matching layer-based adjustment method provided in this application embodiment, without the use of aluminum sheets;

[0055] Figure 9b This is a graph showing the relationship between ultrasonic waves of different frequencies and transmittance in the impedance matching layer-based adjustment method provided in this application, where an aluminum sheet is added to the thin sheet for adjustment.

[0056] Figure 10 This is a flowchart of an adjustment method based on an impedance matching layer provided in another embodiment of this application;

[0057] Figure 11 yes Figure 2 The flowchart of step S205 in the document;

[0058] Figure 12a This is a schematic diagram showing the relationship between the position of the moving aluminum sheet and the transmittance when the skull thickness is different in the adjustment method based on impedance matching layer provided in the embodiments of this application;

[0059] Figure 12b This is a schematic diagram showing the relationship between the position of the moving aluminum sheet and the transmittance when fixing the skull thickness in the adjustment method based on the impedance matching layer provided in the embodiments of this application;

[0060] Figure 13a This is a cross-sectional view of the ultrasonic transducer provided in the embodiments of this application;

[0061] Figure 13b This is a cross-sectional view of the ultrasonic transducer provided in the embodiments of this application;

[0062] Figure 14 This is a schematic diagram of the structure of the adjustment device based on the impedance matching layer provided in the embodiments of this application. Detailed Implementation

[0063] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0064] It should be noted that although functional modules are divided in the device schematic diagram and a logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in a different order than the module division in the device or the order in the flowchart. The terms "first," "second," etc., in the specification, claims, and the aforementioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence.

[0065] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only and is not intended to limit this application.

[0066] First, let's analyze some of the terms used in this application:

[0067] Ultrasonic transducer: A transducer is an electronic device that converts energy from one form to another. The process of converting energy from one form to another is called transduction. An ultrasonic transducer converts the electrical output of a power source into a vibrational output.

[0068] The transition matrix method is a mathematical tool used to describe and analyze Markov chains. In this method, a transition matrix is ​​constructed to describe the state transition probabilities of the Markov chain. The transition matrix is ​​a square matrix where the (i,j)th element represents the probability of transitioning from state i to state j. The sum of each row of the transition matrix is ​​1, indicating that the sum of the probabilities of transitioning from the current state to other states is 1.

[0069] Before leaving the factory, ultrasonic transducers undergo the design, fabrication, and assembly of an impedance matching layer. This layer, typically located between the transducer and the dielectric layer, allows ultrasonic energy to penetrate the dielectric layer, reach the object under test, and then return, thus enabling ultrasonic detection. In related technologies, to ensure complete penetration of the target dielectric layer, given the target dielectric layer and the sound source material, it is necessary to find materials that meet impedance matching requirements to achieve impedance matching between different materials. Typical impedance matching layers use a single material and are only applicable to a single scenario. If the application scenario of the ultrasonic transducer needs to be changed, or the dielectric of the impedance matching layer needs to be changed, the impedance mismatch between the materials will prevent sound wave energy from passing through, rendering the ultrasonic transducer unusable. For example, in a water immersion ultrasonic transducer, the dielectric of the impedance matching layer is water. If used for intracranial detection, the high impedance of the skull will cause sound waves to be reflected from the skull surface, preventing the ultrasonic energy from penetrating. In addition, related technologies also alter the dielectric and structure at the sound source to change the source impedance, raising or lowering its value to achieve impedance matching between dielectric layers. For example, a groove can be cut at the sound source, and a liquid polymer and curing agent with low impedance can be injected. After curing, the impedance at the sound source will be significantly reduced. However, this method is complicated to operate and cannot control the specific impedance at the sound source, making it difficult to stabilize the continuous penetration of ultrasonic energy into the medium layer.

[0070] Based on this, embodiments of this application provide an adjustment method and apparatus, an ultrasonic transducer, and a medium based on an impedance matching layer. By setting an adjusting element inside the pipe, the adjustable medium inside the pipe is divided into sections, thereby achieving automatic control of the adjustable medium thickness. After determining how much medium the ultrasonic wave will pass through, a corresponding target transmittance prediction model is constructed. After determining the target transmittance, the predicted thickness value of the adjustable medium can be calculated based on the target transmittance and the target transmittance prediction model. The adjusting element is then moved according to the predicted thickness value to achieve adjustable impedance of the adjustable medium. Thus, the energy of the ultrasonic wave can completely pass through the medium layer, completing the ultrasonic detection. This makes ultrasonic detection applicable to various scenarios and easy to operate.

[0071] The adjustment method and device based on impedance matching layer, ultrasonic transducer and medium provided in the embodiments of this application are specifically described through the following embodiments. First, the adjustment method based on impedance matching layer in the embodiments of this application is described.

[0072] The impedance matching layer-based adjustment method provided in this application relates to the field of ultrasonic device technology. This impedance matching layer-based adjustment method can be applied to a terminal, a server, or software running on either a terminal or a server. In some embodiments, the terminal can be a smartphone, tablet, laptop, desktop computer, etc.; the server can be configured as an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms; the software can be an application implementing the impedance matching layer-based adjustment method, but is not limited to the above forms.

[0073] This application can be used in a wide variety of general-purpose or special-purpose computer system environments or configurations. Examples include: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, and distributed computing environments including any of the above systems or devices. This application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc., that perform specific tasks or implement specific abstract data types. This application can also be practiced in distributed computing environments where tasks are performed by remote processing devices connected via a communication network. In distributed computing environments, program modules can reside in local and remote computer storage media, including storage devices.

[0074] It should be noted that in all specific embodiments of this application, when processing data related to user identity or characteristics, such as user information, user behavior data, user historical data, and user location information, user permission or consent is obtained first. Furthermore, the collection, use, and processing of this data comply with relevant laws, regulations, and standards. In addition, when embodiments of this application require access to sensitive personal information of users, separate permission or consent from the user is obtained through pop-ups or redirection to confirmation pages. Only after obtaining the user's separate permission or consent is the necessary user-related data required for the proper functioning of these embodiments acquired.

[0075] The impedance matching layer adjustment method provided in this application embodiment is applied to an impedance matching component, and the impedance matching component is disposed between an ultrasonic source and a test object. The impedance matching component includes a pipe 122 and an adjustment member. The adjustment member is disposed inside the pipe 122 and moves along the pipe 122 to divide the pipe 122 into at least two cavity regions. An adjustable medium is placed in the cavity region to form an adjustable medium layer.

[0076] For example, please refer to Figure 1 , Figure 1 This is a schematic diagram of the impedance matching component. In this embodiment, one end of the pipe 122 is connected to the ultrasonic source 11, and the other end is connected to the object under test (not shown in the figure). The adjusting element is an aluminum sheet 131, which divides the pipe 122 into a first region 1211 and a second region 1212. The first region 1211 contains an adjustable medium layer formed by water, which is called the first water layer. The second region 1212 contains an adjustable medium layer formed by water, which is called the second water layer 121. By moving the aluminum sheet 131 within the pipe 122, the thickness of the first and second water layers 121 changes. Because the adjustable medium in both regions is water, their impedance values ​​are the same. By adjusting the thickness of the first and second water layers 121, impedance matching is achieved, allowing the ultrasonic energy to penetrate the object under test from the ultrasonic source 11 and then be reflected, thus completing the ultrasonic detection.

[0077] Figure 2 This is an optional flowchart of the impedance matching layer-based adjustment method provided in the embodiments of this application. Figure 2 The method may include, but is not limited to, steps S201 to S205.

[0078] Step S201: Obtain the original transmittance prediction model; wherein, the original transmittance prediction model characterizes the relationship between the transmittance of the ultrasonic wave after passing through each target medium layer and the medium parameters of the target medium layer; wherein, the target medium layer includes: adjustment element, test object and adjustable medium layer, and the medium parameters include: impedance value and thickness value.

[0079] Step S202: Obtain the medium parameters of the test object to obtain the reference medium parameters, obtain the medium parameters of the adjustment component to obtain the component medium parameters, and obtain the impedance value of the adjustable dielectric layer to obtain the selected impedance value.

[0080] Step S203: Input the reference medium parameters, component medium parameters and selected impedance value into the original transmittance prediction model to reconstruct the model and obtain the target transmittance prediction model; wherein, the target transmittance prediction model characterizes the relationship between the thickness value of the adjustable medium layer and the transmittance.

[0081] Step S204: Obtain the target transmittance, and measure the thickness value based on the target transmittance and the original transmittance prediction model to obtain the predicted thickness value.

[0082] Step S205: Move the adjusting element inside the pipe according to the estimated thickness value to adjust each adjustable medium layer to achieve the estimated thickness value.

[0083] Steps S201 to S205 of the embodiments of this application involve first obtaining an original transmittance prediction model that characterizes the relationship between the transmittance of ultrasonic waves passing through the target medium layer and the medium parameters of the target medium layer. The medium parameters include impedance and thickness values. Therefore, the original transmittance prediction model characterizes the relationship between transmittance and the impedance and thickness values ​​of the target medium layer. Further, the target medium layer includes an adjustment component, a test object, and an adjustable medium layer. Therefore, the medium parameters of the adjustment component are obtained to obtain the component medium parameters, the medium parameters of the test object are obtained to obtain the reference medium parameters, and the impedance value of the adjustable medium layer is obtained to obtain the selected impedance value. The component medium parameters, reference medium parameters, and selected impedance value are substituted into the original transmittance prediction model to convert the model parameters of the original transmittance prediction model into specific values, thus obtaining the target transmittance prediction model. It should be noted that the target transmittance prediction model characterizes the relationship between the thickness value of the adjustable medium layer and the transmittance. Therefore, after determining the target transmittance, the thickness value of the adjustable medium layer is obtained through reverse calculation based on the target transmittance and the target transmittance prediction model to obtain the predicted thickness value. By adjusting the position of the regulating component within the pipe according to the estimated thickness value, the thickness of the adjustable medium layer can be adjusted to achieve the estimated thickness value, ensuring that the transmittance of ultrasonic energy during propagation through the target medium layer reaches the target transmittance. Therefore, by determining the position of the regulating component based on the relationship between transmittance and the impedance and thickness values ​​of different medium layers, and by adjusting the position of the regulating component to ensure that the transmittance of ultrasonic waves after passing through the target medium layer meets the transmittance requirements, ultrasonic transducers with impedance matching components are suitable for various medium scenarios. Furthermore, the transmittance adjustment operation is simple for different scenarios, making ultrasonic detection more accurate.

[0084] Prior to step S201 in some embodiments, the adjustment method based on the impedance matching layer further includes pre-constructing an original transmittance prediction model. This original transmittance prediction model is used to predict the transmittance of the target dielectric layer with different impedance and thickness values ​​during ultrasonic wave propagation at a specific frequency. It can also characterize the relationship between different impedance and thickness values ​​of the target dielectric layer and its transmittance. Specifically, the impedance value is related to the dielectric material of the target dielectric layer; in other words, different dielectric materials have different impedance coefficients.

[0085] Please see Figure 3 In some embodiments, constructing the original transmittance prediction model may include, but is not limited to, steps S301 to S305:

[0086] Step S301: Obtain the medium parameters of each candidate medium layer to obtain the candidate medium parameters;

[0087] Step S302: Obtain acoustic wave transmission data of candidate medium layers; wherein, the acoustic wave transmission data are the sound pressure data and sound velocity data of ultrasonic waves of a preset frequency after passing through each candidate medium layer.

[0088] Step S303: Based on the acoustic wave transmission data and candidate medium parameters, a model is constructed to obtain a candidate transmittance prediction model; wherein, the candidate transmittance prediction model characterizes the relationship between the candidate medium parameters and the acoustic wave transmission data of each candidate medium layer.

[0089] Step S304: Obtain the target medium parameters by acquiring the medium parameters of the target medium layer;

[0090] Step S305: Based on the target medium parameters, the candidate transmittance prediction models are screened to obtain the original transmittance prediction model.

[0091] In step S301 of some embodiments, the candidate dielectric layer is a dielectric layer composed of different materials, and the candidate dielectric parameters include: candidate impedance value and candidate thickness value. It should be noted that the candidate impedance value is related to the composition of the material; after determining the material of the candidate dielectric layer, the candidate impedance value is determined based on the material.

[0092] In step S302 of some embodiments, the sound wave transmission data are the sound pressure data and sound velocity data of the ultrasonic wave of a preset frequency after passing through each candidate medium layer. The changes in the sound pressure data and sound velocity data of each candidate medium layer can indirectly reflect the phase change of the ultrasonic wave propagating in candidate medium layers of different materials and thicknesses, so as to obtain the incident sound pressure and transmitted sound pressure of the ultrasonic wave after passing through the candidate medium layer, and then calculate the transmittance to determine the relationship between candidate medium layers of different materials and thicknesses and transmittance.

[0093] Specifically, the acoustic wave transmission data includes: incident acoustic pressure data, reflected acoustic pressure data, incident acoustic velocity data, and reflected acoustic velocity data for each candidate medium layer. The incident acoustic pressure data includes: incident wave acoustic pressure data and first transmitted wave acoustic pressure data, and the reflected acoustic pressure data includes: reflected wave acoustic pressure data and second transmitted wave acoustic pressure data. For example... Figure 4 As shown, if there are two candidate dielectric layers, the first candidate dielectric layer is dielectric 1, and the incident wave acoustic pressure data of dielectric 1 is p. i The first transmitted wave sound pressure data is p 2t The reflected wave sound pressure data is p 2r The second transmitted wave sound pressure data is p 1r The second candidate medium layer is medium 2, and the incident wave acoustic pressure data of medium 2 is p'. 2tThe second transmitted wave sound pressure data is p' 2r Therefore, as Figure 4 As shown, the propagation of ultrasound waves of a preset frequency from the first candidate medium layer and the second candidate medium layer can be reflected by incident wave sound pressure data, first transmitted wave sound pressure data, reflected wave sound pressure data and second transmitted wave sound pressure data.

[0094] Specifically, the calculation formulas for the incident wave acoustic pressure data, reflected wave acoustic pressure data, incident wave sound velocity data, and reflected wave sound velocity data of the first candidate medium layer are as follows:

[0095]

[0096] The calculation formulas for the first transmitted wave acoustic pressure data, the second transmitted wave acoustic pressure data, the first transmitted wave sound velocity data, and the second transmitted wave sound velocity data of the first candidate dielectric layer are as follows:

[0097]

[0098] In the formula, k j Let be the wavenumber in candidate medium layer j, and the relationship between wavenumber and frequency is:

[0099] In step S303 of some embodiments, a candidate transmittance prediction model is constructed based on the relationship between candidate medium parameters and acoustic wave transmission data, and the candidate transmittance prediction model characterizes the relationship between candidate medium layers with different impedance values ​​and thickness values ​​and transmittance.

[0100] In step S304 of some embodiments, the target medium layer includes the medium of the pipe, the object under test, and the sound source. The target medium layer is obtained by determining which medium layers the ultrasonic wave passes through. In this embodiment, the target medium layer includes: an adjustment element, the object under test, and an adjustable medium layer. The medium parameters of the adjustment element, the object under test, and the adjustable medium layer are obtained, that is, the impedance value and thickness value of the adjustment element, the object under test, and the adjustable medium layer are obtained.

[0101] In step S305 of some embodiments, since the candidate transmittance prediction model characterizes the relationship between the medium parameters and transmittance of each candidate medium layer, it is necessary to find the corresponding candidate medium layer according to the target medium parameters, and then combine the candidate transmittance prediction models corresponding to the candidate medium layers to form the original transmittance prediction model. This makes the construction of the original transmittance prediction model simple and can accurately predict the transmittance of medium layers of different materials and thicknesses.

[0102] In steps S301 to S305 of this embodiment, sound wave transmission data and medium parameters of different media are first collected, and then candidate transmittance prediction models corresponding to candidate medium layers with different materials and thicknesses are constructed based on the medium parameters and sound wave transmission data. Once the target medium layers through which the ultrasonic waves will pass are determined, the corresponding candidate transmittance prediction models are selected from the candidate transmittance prediction models according to the target medium parameters of the target medium layers, and the selected candidate transmittance prediction models are combined into the original transmittance prediction model.

[0103] Please see Figure 5 In some embodiments, step S303 may include, but is not limited to, steps S501 to S504:

[0104] Step S501: Construct a continuous sound pressure model from the incident sound pressure data and reflected sound pressure data of each candidate medium layer.

[0105] Step S502: Construct a continuous sound velocity model from the incident sound velocity data and reflected sound velocity data of each candidate medium layer.

[0106] Step S503: Perform phase transformation measurement based on the preset sound velocity and sound pressure mapping relationship, sound pressure continuity model and sound velocity continuity model to obtain the phase transformation matrix;

[0107] Step S504: Construct a candidate transmittance prediction model based on the phase change matrix and candidate medium parameters.

[0108] In steps S501 to S502 of some embodiments, since the sound pressure data and sound velocity data at the boundary of each candidate medium layer are continuous, a sound pressure continuity model is determined based on the incident sound pressure data and the reflected sound pressure data, and a sound velocity continuity model is determined based on the incident sound velocity data and the reflected sound pressure data. Specifically, the sound pressure continuity model and the sound velocity continuity model can be determined by referring to the following formula (3):

[0109]

[0110] In step S303 of some embodiments, a sound speed and sound pressure mapping formula is preset. This sound speed and sound pressure mapping formula is obtained from the relationship between conventional sound speed and sound pressure. It should be noted that the sound speed and sound pressure mapping formula is... Characterizing sound speed data v j With sound pressure data p j The relationship between ρ j Let be the density of candidate medium layer j. It should be noted that the sound speed continuous model is characterized as a sound pressure relationship based on the sound speed-sound pressure mapping formula. For example, substituting the preset sound speed-sound pressure mapping formula into the sound speed continuous model yields the sound speed conversion model, and the sound speed conversion model is shown in formula (4):

[0111]

[0112] After completing the sound speed conversion model, the sound speed conversion model and the sound pressure continuity model are written in matrix form to obtain the phase change matrix, and the phase change matrix is ​​shown in formula (5):

[0113]

[0114] In the formula, for candidate medium layer j, Z j =ρ j v j Let be the impedance value of candidate dielectric layer j. For example, if the phase change matrix of the second candidate dielectric layer is represented by equation (6):

[0115]

[0116] In the formula, for candidate medium layer j, D j Let be the thickness value of candidate dielectric layer j. Therefore, it can be seen that the phase transformation of the sound pressure and velocity data during ultrasonic transmission is related to the impedance and thickness values ​​of each candidate dielectric layer.

[0117] In step S504 of some embodiments, the phase transformation matrix characterizes the change in the phase of ultrasonic wave propagation in the candidate medium layer, and the candidate medium parameters characterize the thickness and impedance values ​​of each candidate medium layer. First, the incident wave sound pressure relationship between the exit surfaces of different candidate medium layers is constructed based on the phase transformation matrix. Then, an incident wave sound pressure matrix is ​​constructed based on the incident wave sound pressure relationship. Finally, a candidate transmittance prediction model is constructed based on the incident wave sound pressure matrix and the candidate medium parameters.

[0118] Specifically, the incident wave sound pressure relationship is calculated by combining formulas (5) and (6), as shown in formula (7):

[0119]

[0120] It should be noted that formula (7) represents as follows: Figure 3 The equations shown have only two candidate dielectric layers and represent the acoustic pressure relationships of the incident wave. Figure 6 As shown, if n candidate dielectric layers are involved, then the ultrasonic wave p incident at a preset frequency f... i The case of incident from candidate dielectric layer 1 to exit from candidate dielectric layer n is as follows: Figure 6 As shown. It should be noted that, Figure 6 In this context, medium 1 is candidate medium layer 1, and medium n is candidate medium layer n. Therefore, the relationship between the transmitted sound pressure data of the incident ultrasound at candidate medium layer n and the incident sound pressure data at the exit surface of candidate medium layer 1 is shown in equation (8):

[0121]

[0122] The transmission situation in different candidate medium layers can be known through formula (8).

[0123] The equation for the sound pressure of the incident wave is simplified as follows:

[0124] If the total transfer matrix of the n candidate dielectric layers is defined as Substituting the total transfer matrix into the incident wave sound pressure relationship yields the incident wave sound pressure conversion formula, which is shown in formula (9):

[0125]

[0126] For candidate medium layer j, the acoustic intensity I j Pressure p j and impedance value Z j The relationship between them is Substituting the candidate medium parameters into formula (9) yields the candidate transmittance prediction model, which is the transmittance of ultrasound through n candidate medium layers as shown in formula (10):

[0127]

[0128] Therefore, a candidate transmittance prediction model characterized by formula (10) is constructed to characterize the transmittance of ultrasonic waves through several candidate medium layers with different materials and thicknesses.

[0129] In steps S501 to S504 of this embodiment, a sound pressure continuity model and a sound velocity continuity model are first constructed, and then a phase transformation matrix is ​​determined based on the sound velocity-sound pressure mapping relationship, the sound pressure continuity model, and the sound velocity continuity model. A candidate transmittance prediction model is constructed using the phase transformation matrix and candidate medium parameters to build a candidate transmittance prediction model capable of predicting the transmittance of ultrasound waves after passing through multiple candidate medium layers.

[0130] Please see Figure 7 In some embodiments, the target dielectric parameters include: target impedance value and target thickness value; step S305 may include, but is not limited to, steps S701 to S702:

[0131] Step S701: Screen the candidate transmittance prediction models according to the target impedance value to obtain the selected transmittance prediction model.

[0132] Step S702: Adjust the parameters of the selected transmittance prediction model according to the target thickness value to obtain the original transmittance prediction model.

[0133] In step S701 of some embodiments, the target impedance value is the impedance value of the target dielectric layer. If the target dielectric layer includes multiple candidate dielectric layers, then the target impedance value is the impedance value of the multiple candidate dielectric layers. A selected transmittance prediction model is obtained by filtering the corresponding candidate transmittance prediction model based on the impedance value of each candidate dielectric layer, and at least one selected transmittance prediction model is used.

[0134] For example, such as Figure 1 As shown, the target medium layer includes: the object to be tested, an adjustable medium layer, and an adjustment element. The object to be tested is the skull and brain. The adjustable medium layer includes a first water layer and a second water layer. The adjustment element is an aluminum sheet. Therefore, ultrasound waves need to pass through five medium layers: the first water layer, the aluminum sheet, the second water layer, the skull, and the brain. If the ultrasound source also has a certain medium, then the ultrasound waves need to pass through six layers: the source medium layer, the first water layer, the aluminum sheet, the second water layer, the skull, and the brain. By obtaining the impedance values ​​of these two candidate medium layers, the target impedance value is obtained. Based on the target impedance value, the corresponding candidate transmittance prediction model is selected to obtain the selected transmittance prediction model.

[0135] In step S702 of some embodiments, after determining the selected transmittance prediction model, the original transmittance prediction model is further selected from the selected transmittance prediction models based on the target thickness value, so that the original transmittance prediction model can accurately calculate the transmittance of media with different materials and thickness values.

[0136] In steps S701 to S702 of this embodiment, the corresponding original transmittance prediction model is selected from the candidate transmittance prediction models step by step based on the target impedance value and the target thickness value, so as to find the transmittance prediction model that matches the target medium layer and perform transmittance calculation in a targeted manner.

[0137] In step S202 of some embodiments, the reference dielectric parameters include a reference impedance value and a reference thickness value, and the reference impedance value is related to the dielectric material of the test object, i.e., the impedance coefficient of the test object. The component dielectric parameters include a component impedance value and an impedance thickness value, and the component impedance value is the impedance coefficient corresponding to the material of the adjusting element. The reference impedance value is the impedance coefficient of the material within the adjustable dielectric layer.

[0138] For example, if the test object is a skull and brain, the impedance coefficients of the skull and brain are obtained separately to obtain the reference impedance value. If the adjustment component is an aluminum sheet, the impedance coefficient of the aluminum sheet is obtained to obtain the component impedance value. If the adjustable dielectric layer includes a first water layer and a second water layer, the impedance coefficients of the first water layer and the second water layer are obtained to obtain the reference impedance value.

[0139] Please see Figure 8 In some embodiments, step S203 may include, but is not limited to, steps S801 to S802:

[0140] Step S801: Replace the model parameters of the original transmittance prediction model with the reference impedance value, component impedance value and selected impedance value to obtain the preliminary transmittance prediction model.

[0141] Step S802: Replace the model parameters of the preliminary transmittance prediction model according to the reference thickness value and the component thickness value to obtain the target transmittance prediction model.

[0142] In step S801 of some embodiments, if the original transmittance prediction model represents the transmittance of ultrasound waves through the target medium layer and the impedance and thickness of the target medium layer, and the target medium layer includes: the test object, the adjustment element, and the adjustable medium layer, then the impedance values ​​of the three medium layers are used to replace the variables corresponding to the impedance values ​​in the original transmittance evaluation model to obtain a preliminary transmittance prediction model. Therefore, the preliminary transmittance prediction model represents the relationship between transmittance and the thickness values ​​of each target medium layer; that is, the preliminary transmittance prediction model only contains the thickness value as a variable.

[0143] In step S802 of some embodiments, since the adjusting member can adjust the thickness of the adjustable medium layer to change the transmittance of the ultrasonic wave, the thickness values ​​of the adjusting member and the object under test are first obtained. The reference thickness value and the component thickness value are then used to replace the variables corresponding to the thickness values ​​in the preliminary transmittance prediction model to obtain the target transmittance prediction model. Therefore, the target transmittance prediction model only has one variable: the thickness value of the adjustable medium layer. This means that the thickness of the adjustable medium layer affects the transmittance of the ultrasonic wave through the entire target medium layer. Because the pipe length is fixed and the adjustable medium layer is divided into multiple regions by the adjusting member, determining the thickness value of the adjustable medium layer also determines the position of the adjusting member in the pipe.

[0144] Please refer to Figure 9a and Figure 9b As shown, Figure 9a The relationship between ultrasonic waves of different frequencies and transmittance is shown when no aluminum sheet is added inside the pipe. Figure 9b This illustrates the relationship between ultrasonic waves of different frequencies and transmittance when aluminum sheets are added inside the pipe. Figure 9a It can be seen that when the preset frequency is f = 600kHz, the transmittance of ultrasound is only about 0.2, while Figure 9b It is known that the transmittance of ultrasound is 1 when the preset frequency is f = 600kHz. Therefore, it can be seen that adding an aluminum sheet to divide the medium in the pipe into two regions can make the transmittance reach 100%. Thus, by setting an aluminum sheet in the pipe, this application can improve the transmittance of the ultrasonic transducer when performing ultrasonic detection. Without adding an aluminum sheet and constantly adjusting the frequency of the ultrasound, it may not be possible to reach 100%.

[0145] In steps S801 to S802 of this embodiment, the known impedance and thickness values ​​of the target dielectric layer are substituted into the original transmittance prediction model to replace the unknown variable, resulting in a target transmittance prediction model with only the thickness value of the adjustable dielectric layer as the variable. Therefore, the transmittance corresponding to different thicknesses of the adjustable dielectric layer can be determined using the target transmittance prediction model, thereby determining the position where the adjusting member needs to be moved to achieve the required transmittance.

[0146] Please see Figure 10 In some embodiments, after step S802, the adjustment method based on the impedance matching layer further includes updating the target transmittance prediction model.

[0147] It should be noted that the variables in the target transmittance prediction model are changed by updating the target transmittance prediction model.

[0148] Updating the target transmittance prediction model includes, but is not limited to, steps S1001 to S1002:

[0149] Step S1001: Obtain the media parameters updated for the target media layer to obtain the media update parameters;

[0150] Step S1002: Update the target transmittance prediction model according to the medium update parameters.

[0151] In steps S1001 to S1002 of some embodiments, updated media parameters are obtained by acquiring updated media parameters of the target media layer. It should be noted that the updated media parameters can be the media parameters of the adjustable media layer, the media parameters of the test object, and the impedance value of the adjusting element. In this case, the target transmittance prediction model is updated. The updated target transmittance prediction model characterizes the relationship between the thickness value of the adjusting element and the transmittance, so that the transmittance can be changed by changing the thickness of the adjusting element. Simultaneously, if the updated media parameters are the thickness value of the adjustable media layer, the media parameters of the test object, and the media parameters of the adjusting element, then the updated target transmittance prediction model characterizes the relationship between the material placed in the adjustable media layer and the transmittance, so that the transmittance can be changed by changing the material inside the pipe.

[0152] In step S204 of some embodiments, the target transmittance characterization requires the projection of ultrasonic waves through the target medium layer. Therefore, the target transmittance is used as the value of the target transmittance prediction model to back-calculate the thickness of the adjustable medium layer to obtain the predicted thickness value.

[0153] In some embodiments, such as Figure 1As shown, a graduated groove 1221 is provided on the pipe 122, and a bolt 132 is provided on the adjusting component that moves along the graduated groove 1221. By moving the bolt 132, the adjusting component can be moved so that different transmittances can be achieved for ultrasonic waves at different preset frequencies.

[0154] In some embodiments, please refer to Figure 11 Step S205 may include, but is not limited to, steps S1101 to S1102:

[0155] Step S1101: Perform scale conversion processing based on the estimated thickness value of each adjustable dielectric layer to obtain the target scale value;

[0156] Step S1102: Move the bolt along the scale groove to the target scale value so that the adjusting component can adjust the thickness of the adjustable medium layer to the estimated thickness value.

[0157] In steps S1101 to S1102 of this embodiment, the target position of the adjusting member is determined by determining the thickness of the adjustable medium layer, the target scale value is determined according to the position of the adjusting member, the bolt is moved to the target scale value and the adjusting member is moved to the target position.

[0158] Please refer to Figure 12a and Figure 12b As shown, Figure 12a It characterizes the transmittance of ultrasound waves through the medium layer of the ultrasound source, the first water layer, the aluminum sheet, the second water layer, the skull, and the brain. Specifically, it characterizes the transmittance obtained by moving the position of the aluminum sheet for different skull thickness values. It can observe skulls with different thickness values ​​to determine the transmittance of skulls with different thickness values ​​achieved by the aluminum sheet at different positions, so as to find a more suitable transmittance. Figure 12b This represents the transmittance obtained by changing the position of an aluminum sheet with different preset frequencies of ultrasound, assuming a fixed skull thickness of d = 5.7 mm. Therefore, by changing the position of the aluminum sheet with different preset frequencies of ultrasound, higher transmittance of ultrasound can be achieved.

[0159] like Figure 13a and Figure 13b As shown, Figure 13a and Figure 13bThis is a side sectional view of an ultrasonic transducer, which includes an ultrasonic source and an impedance matching assembly. The impedance matching assembly includes a conduit and an adjusting element, with the adjusting element dividing the conduit into a first water layer and a second water layer. Therefore, the thickness of the ultrasonic source is I1, the thickness of the first water layer is d1, the thickness of the conduit is I2, the thickness of the adjusting element is I3, and the total thickness of the first water layer, the second water layer, and the adjusting element is I21. The thickness of the object under test is ds, the width of the ultrasonic source is d, the thickness of the bolt is w1, and the width of the conduit is D. Therefore, by changing the thickness d1 of the first water layer, the position of the adjusting element is altered, allowing the ultrasonic waves to completely penetrate the object under test for ultrasonic detection.

[0160] For example, the impedance matching layer-based adjustment method of this invention is applied to brain detection, and a transmittance prediction model is constructed using Matlab software. Without the aluminum sheet, ultrasound waves pass through only four target media layers: the ultrasound source PZT, water, skull, and brain. Given a fixed material and thickness for these four target media layers, and with ultrasound waves incident at a preset frequency f, the change in sound wave energy transmittance with frequency without the aluminum sheet can be obtained. Figure 9a The material parameters of the four-layer dielectric are shown in Table 1.

[0161] Table 1 Impedance, Sound Velocity, and Thickness of 4-Layer Dielectric Materials

[0162]

[0163]

[0164] The design of this application allows for the adjustment of an aluminum sheet in the pipeline. The ultrasonic waves then pass through six layers of media: the ultrasonic source PZT, the first water layer, the aluminum sheet, the second water layer, the skull, and the brain. Given a fixed material and thickness for these six layers, and using a preset ultrasonic frequency f as a variable, the change in the transmittance of the ultrasonic energy with frequency when the aluminum sheet is added can be obtained. Figure 9b .

[0165] Therefore, given a fixed 6-layer dielectric material, a fixed ultrasonic source PZT, a fixed aluminum sheet thickness I3, and a fixed preset frequency of f = 600 kHz, by using the skull thickness ds and the position d1 of the aluminum sheet as variables, the transmittance of sound wave energy measured by moving the position of the aluminum sheet for different skull thicknesses can be obtained. Specifically, the material parameters of the 6-layer dielectric are shown in Table 2.

[0166] Table 2 Impedance, Sound Velocity, and Thickness of 6-Layer Dielectric Materials

[0167]

[0168] Here, the total thickness of the adjustable dielectric layer and the aluminum sheet is 26.2 mm. With the thickness of the aluminum sheet fixed, changing the thickness of the first water layer d1 will affect the thickness of the second water layer, and vice versa.

[0169] Please refer to Figure 1 , Figure 12a and Figure 12b This application embodiment also provides an ultrasonic transducer, which includes an impedance matching component and an ultrasonic source 11; the impedance matching component includes a pipe 122, the pipe 122 is provided with an adjusting member that moves within the pipe 122, the pipe 122 is provided with a scale groove 1221, the adjusting member is provided with a bolt 132 that moves along the scale groove 1221, and the adjusting member is moved by the bolt 132 to divide the pipe 122 into at least two cavity regions, each cavity region being provided with an adjustable dielectric layer.

[0170] It should be noted that the adjusting component is an aluminum sheet 131, and the adjustable dielectric layers are the first water layer and the second water layer 121. The transmittance of ultrasonic waves through the ultrasonic transducer and the object under test can be changed by moving the position of the aluminum sheet 131. Figure 9a and Figure 9b By configuring the ultrasonic transducer in this embodiment, the transmittance of ultrasonic waves is improved.

[0171] Please see Figure 14 This application also provides an adjustment device based on an impedance matching layer, which can realize the above-mentioned adjustment method based on an impedance matching layer and is applied to an impedance matching component. The impedance matching component includes: a pipe, the pipe having an adjustment member that moves within the pipe, the adjustment member moving to divide the pipe into at least two cavity regions, each cavity region having an adjustable dielectric layer; the device includes:

[0172] The model acquisition module 1401 is used to acquire the original transmittance prediction model; wherein, the original transmittance prediction model characterizes the relationship between the transmittance of the ultrasonic wave after passing through the target medium layer and the medium parameters of the target medium layer; wherein, the target medium layer includes: an adjustment component, the test object and an adjustable medium layer, and the medium parameters include: impedance value and thickness value.

[0173] The parameter acquisition module 1402 is used to acquire the medium parameters of the test object to obtain the reference medium parameters, acquire the medium parameters of the adjustment component to obtain the component medium parameters, and acquire the impedance value of the adjustable dielectric layer to obtain the selected impedance value.

[0174] The model reconstruction module 1403 is used to input the reference medium parameters, component medium parameters and selected impedance values ​​into the original transmittance prediction model for model reconstruction to obtain the target transmittance prediction model; wherein, the target transmittance prediction model characterizes the relationship between the thickness value of the adjustable medium layer and the transmittance.

[0175] The thickness measurement module 1404 is used to obtain the target transmittance and measure the thickness value based on the target transmittance and the original transmittance prediction model to obtain the predicted thickness value.

[0176] The position adjustment module 1405 is used to move the adjustment element in the pipe according to the estimated thickness value, so as to adjust each adjustable medium layer to achieve the estimated thickness value.

[0177] The specific implementation of the adjustment device based on the impedance matching layer is basically the same as the specific implementation of the adjustment method based on the impedance matching layer described above, and will not be repeated here.

[0178] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described adjustment method based on an impedance matching layer.

[0179] Memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs. Furthermore, memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory may optionally include memory remotely located relative to the processor, and these remote memories can be connected to the processor via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0180] The embodiments described in this application are for the purpose of more clearly illustrating the technical solutions of the embodiments of this application, and do not constitute a limitation on the technical solutions provided by the embodiments of this application. As those skilled in the art will know, with the evolution of technology and the emergence of new application scenarios, the technical solutions provided by the embodiments of this application are also applicable to similar technical problems.

[0181] Those skilled in the art will understand that the technical solutions shown in the figures do not constitute a limitation on the embodiments of this application, and may include more or fewer steps than shown, or combine certain steps, or different steps.

[0182] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0183] Those skilled in the art will understand that all or some of the steps in the methods disclosed above, as well as the functional modules / units in the systems and devices, can be implemented as software, firmware, hardware, or suitable combinations thereof.

[0184] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “having,” and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0185] It should be understood that in this application, "at least one (item)" means one or more, and "more than" means two or more. "And / or" is used to describe the relationship between related objects, indicating that three relationships can exist. For example, "A and / or B" can represent three cases: only A exists, only B exists, and both A and B exist simultaneously, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one (item) of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one (item) of a, b, or c can represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0186] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of the units described above is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0187] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0188] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0189] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes multiple instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing programs, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0190] The preferred embodiments of the present application have been described above with reference to the accompanying drawings, but this does not limit the scope of the claims of the present application. Any modifications, equivalent substitutions, and improvements made by those skilled in the art without departing from the scope and substance of the embodiments of the present application shall be within the scope of the claims of the present application.

Claims

1. A method for adjusting impedance based on an impedance matching layer, characterized in that, An impedance matching component is applied to an impedance matching assembly, the impedance matching assembly comprising: a conduit, the conduit having an adjusting member that moves within the conduit, the adjusting member moving to divide the conduit into at least two cavity regions, each cavity region having an adjustable dielectric layer, the adjustable dielectric layer being placed within the cavity region; the method comprising: Obtain the original transmittance prediction model; wherein, the original transmittance prediction model characterizes the relationship between the transmittance of the ultrasonic wave after passing through the target medium layer and the medium parameters of the target medium layer; wherein, the target medium layer includes: an adjustment element, the test object, and the adjustable medium layer, and the medium parameters include: impedance value and thickness value. Obtain the medium parameters of the test object to obtain the reference medium parameters, obtain the medium parameters of the adjustment component to obtain the component medium parameters, and obtain the impedance value of the adjustable dielectric layer to obtain the selected impedance value. The reference medium parameters, the component medium parameters, and the selected impedance value are input into the original transmittance prediction model for model reconstruction to obtain the target transmittance prediction model; wherein, the target transmittance prediction model characterizes the relationship between the thickness of the adjustable medium layer and the transmittance; Obtain the target transmittance, and estimate the thickness value based on the target transmittance and the original transmittance estimation model to obtain the estimated thickness value; The adjusting member is moved within the pipe according to the estimated thickness value to adjust each of the adjustable media layers to achieve the estimated thickness value.

2. The method according to claim 1, characterized in that, Before obtaining the original transmittance prediction model, the method further includes: The construction of the original transmittance prediction model specifically includes: The candidate medium parameters are obtained by acquiring the medium parameters of each candidate medium layer. Acquire the acoustic wave transmission data of the candidate medium layer; wherein, the acoustic wave transmission data is the sound pressure data and sound velocity data of the ultrasonic wave of a preset frequency after passing through each candidate medium layer; A model is constructed based on the acoustic wave transmission data and the candidate medium parameters to obtain a candidate transmittance prediction model; wherein, the candidate transmittance prediction model characterizes the relationship between the candidate medium parameters of each candidate medium layer and the acoustic wave transmission data; Obtain the target medium parameters by acquiring the medium parameters of the target medium layer; The candidate transmittance prediction models are screened based on the target medium parameters to obtain the original transmittance prediction model.

3. The method according to claim 2, characterized in that, The acoustic wave transmission data includes: incident sound pressure data and reflected sound pressure data for each candidate medium layer, and incident sound velocity data and reflected sound velocity data for each candidate medium layer; the step of constructing a model based on the acoustic wave transmission data and the candidate medium parameters to obtain a candidate transmittance prediction model includes: The incident sound pressure data and the reflected sound pressure data of each candidate medium layer are used to construct a continuous sound pressure model. The incident sound velocity data and the reflected sound velocity data of each candidate medium layer are used to construct a continuous sound velocity model. The phase transformation matrix is ​​obtained by performing a phase transformation measurement based on the preset sound velocity and sound pressure mapping relationship, the sound pressure continuity model, and the sound velocity continuity model; The candidate transmittance prediction model is constructed based on the phase change matrix and the candidate medium parameters.

4. The method according to claim 2, characterized in that, The target medium parameters include: target impedance value and target thickness value; the step of performing model screening processing on the candidate transmittance prediction models based on the target medium parameters to obtain the original transmittance prediction model includes: The candidate transmittance prediction models are screened based on the target impedance value to obtain the selected transmittance prediction model. The parameters of the selected transmittance prediction model are adjusted based on the target thickness value to obtain the original transmittance prediction model.

5. The method according to any one of claims 1 to 4, characterized in that, The reference medium parameters include: a reference impedance value and a reference thickness value; the component medium parameters include: a component impedance value and a component thickness value; the reference medium parameters, the component medium parameters, and the selected impedance value are input into the original transmittance prediction model for model reconstruction to obtain the target transmittance prediction model, including: The model parameters of the original transmittance prediction model are replaced by the reference impedance value, the component impedance value, and the selected impedance value to obtain a preliminary transmittance prediction model. The model parameters of the preliminary transmittance prediction model are changed based on the reference thickness value and the component thickness value to obtain the target transmittance prediction model.

6. The method according to claim 5, characterized in that, After replacing the model parameters of the preliminary transmittance prediction model based on the reference thickness value and the component thickness value to obtain the target transmittance prediction model, the method further includes: Updating the target transmittance prediction model specifically includes: Obtain the updated media parameters of the target media layer to obtain the media update parameters; The target transmittance prediction model is updated based on the medium update parameters.

7. The method according to any one of claims 1 to 4, characterized in that, The pipe has a graduated groove, and the adjusting member has a bolt that moves along the graduated groove; the step of moving the adjusting member within the pipe according to the estimated thickness value to adjust each adjustable medium layer to reach the estimated thickness value includes: A scale conversion process is performed based on the estimated thickness value of each adjustable dielectric layer to obtain the target scale value; The bolt is moved along the scale groove to the target scale value, thereby driving the adjusting member to bring the thickness of the adjustable medium layer to the estimated thickness value.

8. An ultrasonic transducer, characterized in that, The ultrasonic transducer includes an impedance matching component and an ultrasonic source; the impedance matching component includes a pipe, the pipe is provided with an adjusting member that moves within the pipe, the pipe is provided with a graduated groove, the adjusting member is provided with a bolt that moves along the graduated groove, the adjusting member is driven by the bolt to divide the pipe into at least two cavity regions, each cavity region is provided with an adjustable dielectric layer, and the adjustable dielectric layer is formed by placing an adjustable dielectric within the cavity region.

9. An adjustment device based on an impedance matching layer, characterized in that, An impedance matching component is applied to an impedance matching assembly, the impedance matching assembly comprising: a conduit, the conduit having an adjusting member that moves within the conduit, the adjusting member moving to divide the conduit into at least two cavity regions, each cavity region having an adjustable dielectric layer, the adjustable dielectric layer being placed within the cavity region to form the adjustable dielectric layer; the device comprising: The model acquisition module is used to acquire the original transmittance prediction model; wherein, the original transmittance prediction model characterizes the relationship between the transmittance of the ultrasonic wave after passing through the target medium layer and the medium parameters of the target medium layer; wherein, the target medium layer includes: an adjustment element, the test object, and the adjustable medium layer, and the medium parameters include: impedance value and thickness value. The parameter acquisition module is used to acquire the medium parameters of the test object to obtain the reference medium parameters, acquire the medium parameters of the adjustment component to obtain the component medium parameters, and acquire the impedance value of the adjustable dielectric layer to obtain the selected impedance value. The model reconstruction module is used to input the reference medium parameters, the component medium parameters, and the selected impedance value into the original transmittance prediction model for model reconstruction to obtain the target transmittance prediction model; wherein, the target transmittance prediction model characterizes the relationship between the thickness value of the adjustable medium layer and the transmittance; The thickness measurement module is used to obtain the target transmittance and measure the thickness value based on the target transmittance and the original transmittance prediction model to obtain the predicted thickness value. A position adjustment module is used to move the adjustment member within the pipe according to the estimated thickness value, so as to adjust each of the adjustable medium layers to reach the estimated thickness value.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the impedance matching layer-based adjustment method according to any one of claims 1 to 7.

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