Pipeline acoustic circumferential modal identification method and device, electronic equipment and storage medium

Abstract

The present disclosure provides a pipeline acoustic circumferential modal identification method, device, electronic equipment and storage medium, relating to the technical field of acoustic analysis, the pipeline acoustic circumferential modal identification method comprises: according to the structural characteristics of the turbomachinery in the pipeline, determining the cross-through circumferential modal in the pipeline sound field, and the main modal information in the cross-through circumferential modal;Acoustic pressure values of sound signals respectively collected by a preset number of sound sensors arranged on the pipeline wall are obtained;According to the acoustic pressure value associated with each sound sensor, the relationship equation of acoustic pressure and main modal is solved, and the amplitude of each main modal is obtained;Wherein, the number of sound sensors is greater than or equal to the number of main modes.The pipeline acoustic circumferential modal identification scheme provided in the present disclosure can reduce the difficulty of obtaining the pipeline acoustic modal analysis result, and improve the accuracy of the obtained pipeline acoustic modal analysis result.

Description

Technical Field

[0001] This invention relates to the field of acoustic analysis technology, and in particular to a method, apparatus, electronic device, and storage medium for circumferential acoustic mode identification of pipelines. Background Technology

[0002] When typical impeller machinery equipment such as water pumps and fans are connected to pipelines, the dynamic and static interference of the impeller machinery will excite the circumferential mode of the pipeline.

[0003] In related technologies, circumferential mode decomposition (CMD) can be used to study the circumferential modes of a pipeline. Common CMD techniques include: performing a Fourier transform on the sound signal obtained by a sound sensor to obtain a complex sound pressure level, and obtaining the circumferential mode amplitude along the forward and reverse propagation directions by solving a system of equations composed of the sound pressure expression; or obtaining the circumferential mode amplitude along the forward and reverse propagation directions by solving a system of equations composed of the sound pressure expression; or determining the circumferential mode amplitude based on compressed sensing theory.

[0004] However, the circumferential mode decomposition techniques provided in related technologies result in poor accuracy of the obtained circumferential mode amplitudes and are difficult to identify. Summary of the Invention

[0005] This disclosure provides a method, apparatus, electronic device, and storage medium for circumferential modal acoustic identification of pipelines, to at least solve the problems of low accuracy and high difficulty in circumferential modal acoustic identification of pipelines in related technologies. The technical solution of this disclosure is as follows:

[0006] According to a first aspect of this disclosure, a method for circumferential modal identification of pipeline acoustics is provided, comprising:

[0007] Based on the structural characteristics of the impeller machinery in the pipeline, the circumferential cut-off mode in the acoustic field of the pipeline, and the main mode information in the circumferential cut-off mode are determined;

[0008] The sound pressure values ​​of the sound signals collected by a preset number of sound sensors installed on the pipe wall are obtained, wherein the number of sound sensors is greater than or equal to the number of the main modes;

[0009] Based on the sound pressure value associated with each of the sound sensors, the relationship equation between sound pressure and the dominant mode is solved to obtain the amplitude of each dominant mode.

[0010] According to a second aspect of this disclosure, a pipe acoustic circumferential modal recognition device is provided, comprising:

[0011] The determination module is configured to determine the circumferential cut-off mode in the acoustic field of the pipeline, and the main mode information in the circumferential cut-off mode, based on the structural characteristics of the impeller machinery in the pipeline.

[0012] The acquisition module is configured to acquire the sound pressure values ​​of sound signals collected by a preset number of sound sensors installed on the pipe wall, wherein the number of sound sensors is greater than or equal to the number of the main modes;

[0013] The calculation module is configured to solve the equation relating sound pressure to the dominant mode based on the sound pressure value associated with each of the sound sensors, thereby obtaining the amplitude of each dominant mode.

[0014] According to a third aspect of this disclosure, an electronic device is provided, comprising:

[0015] Processor; and

[0016] Stored program memory,

[0017] The program includes instructions that, when executed by the processor, cause the processor to perform the method as described in the first aspect.

[0018] According to a fourth aspect of this disclosure, a non-transitory computer-readable storage medium is provided storing computer instructions for causing the computer to perform the method as described in the first aspect.

[0019] The circumferential acoustic modal identification method, apparatus, electronic device, and storage medium disclosed herein, after determining the dominant mode in the circumferential modes of a pipe, obtains sound pressure values ​​through a certain number of acoustic sensors, solves the relationship equation between sound pressure and the dominant mode, and obtains the amplitude of the dominant mode. Since the number of sound sensors is greater than or equal to the number of dominant modes, the relationship equation between sound pressure and the dominant mode can meet the requirements of overdetermined or positive definite. This not only eliminates the problems of complex pipe acoustic modal analysis process and low accuracy of analysis results caused by solving underdetermined equations in the process of determining the amplitude of circumferential modes based on compressed sensing theory, but also solves the problem of low accuracy of pipe acoustic modal analysis results obtained by the direct circumferential modal decomposition method under high-frequency noise, reducing the difficulty of obtaining pipe acoustic modal analysis results, and improving the accuracy of the obtained pipe acoustic modal analysis results. Attached Figure Description

[0020] Further details, features, and advantages of this disclosure are disclosed in the following description of exemplary embodiments in conjunction with the accompanying drawings, in which:

[0021] Figure 1 A flowchart illustrating an exemplary embodiment of the present disclosure of a pipe acoustic circumferential modal recognition method is shown.

[0022] Figure 2 A cross-sectional view of a circular pipe is shown, illustrating an exemplary embodiment of the present disclosure, in which the pipe acoustic circumferential modal identification method provided in the embodiments of the present disclosure is applied.

[0023] Figure 3 A cross-sectional view of a circular pipe is shown, illustrating an exemplary embodiment of the present disclosure, in which the circumferential acoustic modal identification method for pipes provided in the embodiments of the present disclosure is applied.

[0024] Figure 4 A cross-sectional view of a ring pipe is shown, illustrating an exemplary embodiment of the present disclosure, in which the pipe acoustic circumferential modal identification method provided in the embodiments of the present disclosure is applied.

[0025] Figure 5 A cross-sectional view of a ring pipe is shown, illustrating an exemplary embodiment of the present disclosure, in which the pipe acoustic circumferential modal identification method provided in the embodiments of the present disclosure is applied.

[0026] Figure 6 A schematic diagram illustrating the relationship between the number of acoustic sensors and the relative error of the main modality recognition result, as well as the main modality recognition success rate, of an exemplary embodiment of the present disclosure is shown.

[0027] Figure 7 This illustration shows a schematic diagram relating the dominant mode dominance ratio to the main mode recognition result and the main mode recognition success rate in an exemplary embodiment of this disclosure.

[0028] Figure 8 This illustration shows a schematic diagram of the relationship between the signal-to-noise ratio, the relative error of the main modality recognition result, and the main modality recognition success rate, according to an exemplary embodiment of this disclosure.

[0029] Figure 9 A schematic block diagram of the functional modules of a pipe acoustic circumferential modal recognition device according to an exemplary embodiment of the present disclosure is shown.

[0030] Figure 10 A schematic block diagram of a chip according to an exemplary embodiment of the present disclosure is shown;

[0031] Figure 11 A structural block diagram of an exemplary electronic device that can be used to implement embodiments of the present disclosure is shown. Detailed Implementation

[0032] Embodiments of this disclosure will now be described in more detail with reference to the accompanying drawings. While some embodiments of this disclosure are shown in the drawings, it should be understood that this disclosure can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided to provide a more thorough and complete understanding of this disclosure. It should be understood that the accompanying drawings and embodiments of this disclosure are for illustrative purposes only and are not intended to limit the scope of protection of this disclosure.

[0033] It should be understood that the steps described in the method embodiments of this disclosure may be performed in different orders and / or in parallel. Furthermore, the method embodiments may include additional steps and / or omit the steps shown. The scope of this disclosure is not limited in this respect.

[0034] The term "comprising" and its variations as used herein are open-ended, meaning "including but not limited to". The term "based on" means "at least partially based on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Definitions of other terms will be given in the description below. It should be noted that the concepts of "first", "second", etc., used in this disclosure are only used to distinguish different devices, modules, or units, and are not intended to limit the order of functions performed by these devices, modules, or units or their interdependencies.

[0035] It should be noted that the terms "a" and "a plurality of" used in this disclosure are illustrative rather than restrictive, and those skilled in the art should understand that, unless otherwise expressly indicated in the context, they should be understood as "one or more".

[0036] The names of messages or information exchanged between multiple devices in the embodiments of this disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.

[0037] Before introducing the embodiments of this disclosure, the relevant terms involved in the embodiments of this disclosure are first defined as follows:

[0038] Acoustic Mode: Acoustic mode is an inherent characteristic of a sound cavity. This characteristic depends on the structural shape of the cavity and the medium inside the cavity. Among them, the acoustic modes of a circular pipe are divided into circumferential modes and radial modes.

[0039] Cut-off: When the frequency of the test noise is greater than the cutoff frequency of the mode, the mode can propagate, which is a cut-off mode.

[0040] The following description of the present disclosure is based on the accompanying drawings:

[0041] In related technologies, circumferential mode decomposition (CMD) techniques can be used to study the circumferential modes of pipelines during acoustic modal analysis. Common CMD techniques include: performing a Fourier transform on the sound signal obtained from a sound sensor to obtain complex sound pressure levels, and then solving a system of equations composed of sound pressure expressions to obtain the circumferential mode amplitudes propagating in the forward and reverse directions; or, solving a system of equations composed of sound pressure expressions to obtain the circumferential mode amplitudes propagating in the forward and reverse directions; or, determining the circumferential mode amplitudes based on compressed sensing theory. It should be noted that performing a Fourier transform on the sound signal obtained from a sound sensor to determine the circumferential mode amplitudes propagating in the forward and reverse directions, or solving a system of equations composed of sound pressure expressions to obtain the circumferential mode amplitudes propagating in the forward and reverse directions, is also known as the direct decomposition method.

[0042] In the case of the direct decomposition method, there are many circumferential modes in the pipe under high frequency environment. In order to obtain more accurate pipe acoustic modal analysis results, more sound sensors need to be set up to collect audio signals to obtain sound pressure values. However, when the pipe space is limited, as the noise frequency increases, it is impossible to meet the requirement of setting more sound sensors. At this time, due to the limited number of sound sensors, the equation system composed of the sound pressure expression under high frequency noise conditions cannot meet the requirements of positive definiteness or overdeterminism, so the equation system composed of the sound pressure expression cannot be solved by the direct decomposition method, and thus the circumferential modal amplitude cannot be obtained.

[0043] For the circumferential modal decomposition method based on compressed sensing theory to determine the circumferential modal amplitude, the compressed sensing method usually uses optimization methods to solve the underdetermined equation system composed of the sound pressure expression. The selected optimization method, iteration steps and / or error tolerance will affect the results of the duct acoustic modal analysis, making the duct acoustic modal analysis process complicated and resulting in poor accuracy of the obtained duct acoustic modal analysis results.

[0044] To overcome the above problems, an exemplary embodiment of this disclosure provides a method for identifying the circumferential acoustic modes of a pipeline. After determining the dominant mode in the circumferential modes of a pipeline, the method uses sound pressure values ​​obtained by a certain number of acoustic sensors to solve the equation relating sound pressure and the dominant mode, thereby obtaining the amplitude of the dominant mode. Since the number of sound sensors is greater than or equal to the number of dominant modes, the equation relating sound pressure and the dominant mode can meet the requirements of positive definiteness or overdeterminism, eliminating the problem of not being able to directly solve underdetermined equations. Compared with compressed sensing methods, this method has more relaxed requirements, such as requiring fewer sound sensors and having a lower signal-to-noise ratio and / or dominant mode dominance.

[0045] Figure 1A flowchart illustrating an exemplary embodiment of the present disclosure of a pipe acoustic circumferential modal recognition method is shown. This method can be applied to a terminal device, which may be a computer or laptop computer, or other device with data processing capabilities. Figure 1 As shown, the method in this embodiment of the disclosure may include:

[0046] Step S101: Based on the structural characteristics of the impeller machinery in the pipeline, determine the circumferential cut-off mode in the acoustic field of the pipeline, as well as the main mode information in the circumferential cut-off mode;

[0047] Step S102: Obtain the sound pressure values ​​of the sound signals collected by a preset number of sound sensors installed on the pipe wall;

[0048] Among them, the number of sound sensors is greater than or equal to the number of main modes, and the main mode is the mode that best represents the noise characteristics among the circumferential modes of noise in the pipeline;

[0049] Step S103: Based on the sound pressure value associated with each sound sensor, solve the relationship equation between sound pressure and the main mode to obtain the amplitude of each main mode.

[0050] In summary, the circumferential acoustic modal identification method for pipelines provided in this disclosure, after determining the dominant mode in the circumferential modes of the pipeline, uses sound pressure values ​​obtained by a certain number of acoustic sensors to solve the relationship equation between sound pressure and the dominant mode, thereby obtaining the amplitude of the dominant mode. Since the number of sound sensors is greater than or equal to the number of dominant modes, the relationship equation between sound pressure and the dominant mode can meet the requirements of overdetermined or positive definite. This not only eliminates the problems of complex pipeline acoustic modal analysis process and low accuracy of analysis results caused by solving underdetermined equations in the process of determining the amplitude of the circumferential mode based on compressed sensing theory, but also solves the problem of low accuracy of pipeline acoustic modal analysis results obtained by the direct circumferential modal decomposition method under high-frequency noise, reducing the difficulty of obtaining pipeline acoustic modal analysis results and improving the accuracy of the obtained pipeline acoustic modal analysis results.

[0051] The following are Figure 2 The specific implementation methods of each step in the illustrated embodiment are described in detail below:

[0052] In step S101, the terminal device can determine the circumferential cut-off mode and the main mode information in the circumferential cut-off mode in the pipe acoustic field based on the structural characteristics of the impeller machinery in the pipe.

[0053] In this embodiment of the disclosure, in the noise field generated by the turbomachinery, the periodic wake generated by the rotation of the rotor blades and the stator blades undergo dynamic-static interference. Based on the dynamic-static interference, the possible modal order in the noise field can be determined. It is understood that when the turbomachinery is connected to a pipeline, the circumferential mode of the noise in the pipeline sound field can be determined based on the dynamic-static interference.

[0054] In one optional implementation, the structural features of the turbomachinery may include the number of rotor blades and stator blades. The process by which the terminal equipment determines the cut-through circumferential modes and the dominant mode among these modes in the pipe's acoustic field based on the structural features of the turbomachinery in the pipe may include: obtaining multiple circumferential modes in the pipe's acoustic field based on the number of rotor blades, the number of stator blades, and the rotor-stator interference circumferential mode determination equation; then, determining the cut-through circumferential mode among these multiple circumferential modes based on cut-through mode screening conditions; further, determining the dominant mode and its number among these multiple cut-through circumferential modes according to preset rules, thus obtaining the dominant mode information. The circumferential modes in the pipe's acoustic field containing the turbomachinery can be determined based on rotor-stator interference theory, and the dominant mode and its number can be determined among the actual circumferential modes in the pipe's acoustic field based on preset rules, which can improve the accuracy and reliability of the determined dominant mode.

[0055] The equation for determining the circumferential mode of the rotor-stationary interference can include: m = nB ± kV, where m represents the order of the circumferential mode, for example, the first or third order circumferential mode, n represents the harmonic order, B represents the number of rotor blades, and k represents any natural number. n and k can be determined based on the characteristics of the pipe and the turbomachinery.

[0056] It is understood that the terminal device determines multiple circumferential modes in the pipe sound field based on the number of rotor blades, the number of stator blades, and the rotor-stator interference circumferential mode determination equation. These multiple circumferential modes can include multiple orders of circumferential modes. Therefore, the cut-through circumferential mode and the main mode in this embodiment can be identified by the order of the circumferential mode. For example, the nth order circumferential mode is the cut-through circumferential mode, and the mth order cut-through circumferential mode is the main mode. The order n or m can be determined based on the actual situation, and this embodiment does not limit this.

[0057] It should be noted that the preset rules can be determined based on actual needs, and this disclosure does not limit this. For example, the preset rules may include: determining the number of principal modes; further, randomly selecting circumferential modes from multiple circumferential modes according to the number of principal modes to obtain the principal mode. For example, selecting 3 principal modes based on the structural characteristics of the turbomachinery; or selecting 1 principal mode based on the structural characteristics of the turbomachinery and randomly selecting 2 other circumferential modes as principal modes; or randomly selecting 3 circumferential modes from multiple circumferential modes to obtain the principal mode; or randomly selecting circumferential modes with an even or odd order from multiple circumferential modes according to the number of principal modes to obtain the principal mode. The number of principal modes can be determined based on actual needs, and this disclosure does not limit this.

[0058] In step S102, the terminal device can obtain the sound pressure values ​​of the sound signals collected by a preset number of sound sensors installed on the pipe wall;

[0059] In this embodiment of the disclosure, the number of sound sensors is greater than or equal to the number of principal modes. When the number of sound sensors is greater than the number of principal modes, the relationship equation between sound pressure and principal modes can satisfy the overdetermined requirement. When the number of sound sensors is equal to the number of principal modes, the relationship equation between sound pressure and principal modes can satisfy the positive definite requirement, so as to facilitate the determination of the amplitude of the principal modes and reduce the difficulty of determining the amplitude of the principal modes. The sound pressure values ​​of the sound signals collected by the sound sensors are obtained by performing fast Fourier transform processing on the sound signals collected by the sound sensors.

[0060] In one alternative implementation, the terminal device can be connected to a pipe, such as... Figure 2 As shown, five sound sensors 202 are installed on the pipe wall 201. The terminal device can acquire the sound pressure values ​​of the sound signals collected by the preset number of sound sensors installed on the pipe wall. It can be understood that the sound signals are the sound signals from noise sources installed in the pipe at the sound sensors. The pipe is circular.

[0061] In one alternative implementation, when sound sensors are uniformly distributed within the pipe, a situation may arise where the sound signals acquired by the sensors fail to characterize the feature information of the true dominant mode within the pipe, such as... Figure 2As shown, sound sensors can be non-uniformly arranged in the pipe. The process by which the terminal device acquires the sound pressure levels of the sound signals collected by a preset number of sound sensors positioned on the pipe wall can include: acquiring the sound pressure levels of the sound signals collected by the preset number of sound sensors non-uniformly arranged on the pipe wall, wherein the characteristic information of the dominant mode can include the amplitude of the dominant mode. Acquiring the sound pressure levels of the sound signals using non-uniformly arranged sound sensors can improve the accuracy of the determined characteristic information of the dominant mode.

[0062] Among them, a preset number of sound sensors are located on the same cross-section of the pipe wall, such as... Figure 3 As shown, Figure 3 It shows Figure 2 The diagram shows a cross-sectional view of the pipe, in which multiple sound sensor arrays 202 are located on the same section a of the pipe wall, and the noise source can be located in the noise source surface b.

[0063] In one alternative implementation, the number of sound sensors can be less than the number of circumferential modes. The acoustic modal analysis results of the pipeline can be determined by the sound pressure values ​​of the sound signals obtained by a certain number of sound sensors. This not only improves the accuracy of the obtained pipeline acoustic modal analysis results, but also further reduces the pipeline space requirements in the process of determining the pipeline acoustic circumferential modes. This allows for more accurate pipeline acoustic modal analysis results even in the case of high-frequency noise and small pipeline space.

[0064] In step S103, the terminal device can solve the relationship equation between sound pressure and the main mode based on the sound pressure value associated with each sound sensor, and obtain the amplitude of each main mode.

[0065] In this embodiment of the disclosure, the relationship equation between sound pressure and dominant mode is used to characterize the relationship between the sound pressure value of the sound signal collected by the sound sensor and the amplitude of the dominant mode, wherein the sound pressure value of the sound signal and the amplitude of the dominant mode can be linearly related.

[0066] In one optional implementation, the process by which the terminal device solves the relationship equation between sound pressure and the dominant mode based on the sound pressure values ​​of the sound signals collected by a preset number of sound sensors to obtain the amplitude of each dominant mode may include: combining the sound pressure values ​​of the sound signals collected by each sound sensor to obtain a sound pressure matrix; and combining the amplitude to be determined for each dominant mode to obtain a dominant mode amplitude matrix to be determined; then, determining the product of the dominant mode and the sound pressure feature matrix, and the dominant mode amplitude matrix to be determined, which is the sound pressure matrix, to obtain the relationship equation between sound pressure and the dominant mode; further, solving the relationship equation to obtain the amplitude of each dominant mode. On the one hand, since the number of sound sensors is greater than or equal to the number of principal modes, the relationship equation between the constructed sound pressure and the principal modes can be guaranteed to be an overdetermined or positive definite equation. The solution complexity of overdetermined or positive definite equations is less than that of underdetermined equations, which reduces the difficulty of obtaining the amplitude of the principal modes. This improves both the accuracy and efficiency of obtaining the amplitude of the principal modes. On the other hand, by constructing the relationship between sound pressure and the principal modes using the obtained sound pressure values ​​and the amplitude of the principal modes to be solved, the matching degree between the obtained amplitude of the principal modes and the actual situation and actual needs can be improved.

[0067] The relationship between sound pressure and the dominant mode can be expressed as:

[0068]

[0069] In the above equation relating sound pressure and principal modes, i represents the unit imaginary number; m l θ represents the l-th dominant mode among D dominant modes, where l can take values ​​from 1 to D; j p represents the circumferential coordinate of the j-th sound sensor among the K sound sensors; j A represents the sound pressure level associated with the j-th sound sensor out of K sound sensors. l This represents the amplitude of the l-th principal mode to be solved out of D principal modes.

[0070] In one optional implementation, after the terminal device solves the equation relating sound pressure to the dominant mode based on the sound pressure value associated with each sound sensor to obtain the amplitude of each dominant mode, it can further: combine the dominant mode and each non-dominant mode in the cut-off circumferential mode to obtain multiple groups of modes to be processed; then, solve the equation relating sound pressure to the dominant mode based on the sound pressure value associated with each sound sensor to obtain the amplitude of the non-dominant mode in each group of modes to be processed; further, for each candidate mode group, if the amplitude of the non-dominant mode in the candidate mode group is greater than a first threshold and the residual value associated with the candidate mode group is less than a second threshold, then the non-dominant mode in the candidate mode group is determined as a newly added dominant mode; finally, combine the amplitude of the dominant mode and the amplitude of the newly added dominant mode, and determine the number of updated dominant modes to obtain updated dominant mode information. The residual value represents the difference between the noise in the pipeline characterized by multiple modes in the candidate mode group and the actual noise in the pipeline. The residual value associated with the candidate mode group is obtained in the process of solving the relationship equation between sound pressure and the main mode. The first threshold and the second threshold can be determined based on actual needs, and this embodiment does not limit this. The main mode information determined based on preset rules can be updated to make the main mode information determined by the pipeline acoustic circumferential mode recognition method more consistent with the actual situation of the main modes in the pipeline, thereby improving the accuracy of the determined pipeline acoustic mode analysis results.

[0071] It should be noted that, in the embodiments of this disclosure, the process by which the terminal device solves the relationship equation between sound pressure and the dominant mode based on the sound pressure value associated with each sound sensor to obtain the amplitude of the non-dominant mode in each group of modes to be processed is similar to the process by which the terminal device solves the relationship equation between sound pressure and the dominant mode based on the sound pressure value associated with each sound sensor to obtain the amplitude of each dominant mode, and will not be described in detail in the embodiments of this disclosure.

[0072] For example, suppose the circumferential cut-through modes are the first-order circumferential cut-through mode, the second-order circumferential cut-through mode, the third-order circumferential cut-through mode, the fourth-order circumferential cut-through mode, and the fifth-order circumferential cut-through mode. The main modes are determined to be the second-order circumferential cut-through mode and the third-order circumferential cut-through mode based on preset rules. After obtaining the amplitudes of the second-order circumferential cut-through mode and the third-order circumferential cut-through mode.

[0073] Next, the first, second, and third circumferential cut-through modes can be grouped into a first set of modes to be processed; the second, third, and fourth circumferential cut-through modes can be grouped into a second set of modes to be processed; and the third, fifth, and sixth circumferential cut-through modes can be grouped into a third set of modes to be processed. Further, based on the sound pressure level associated with each sound sensor, the relationship equation between sound pressure level and the dominant mode is solved to obtain the amplitude of the first circumferential cut-through mode in the first set of modes to be processed, the amplitude of the fourth circumferential cut-through mode in the second set of modes to be processed, and the amplitude of the fifth circumferential cut-through mode in the third set of modes to be processed.

[0074] Furthermore, if the amplitude of the fourth-order cut-through circumferential mode is greater than the first threshold, and the residual value associated with the second mode group to be processed, obtained in the process of solving the relationship equation between sound pressure and the principal mode, is less than the second threshold, then it can be determined that the fourth-order cut-through circumferential mode is also the principal mode. In this case, the updated principal modes are determined to include the second-order cut-through circumferential mode, the third-order cut-through circumferential mode, and the fourth-order cut-through circumferential mode.

[0075] In one optional implementation, if a non-dominant mode in a group of multiple candidate modes is identified as a new dominant mode, the relationship equation between sound pressure and dominant mode is solved based on the sound pressure values ​​of the sound signals collected by a preset number of sound sensors. This yields the updated amplitude of each dominant mode and the amplitude of each new dominant mode. In cases where multiple non-dominant modes are identified as new dominant modes, the amplitude of each dominant mode can be re-determined based on the relationship equation between sound pressure and dominant mode to obtain more accurate amplitude values, thereby further improving the accuracy of the determined pipe acoustic modal analysis results.

[0076] It is understood that, in the embodiments of this disclosure, the process by which the terminal device solves the relationship equation between sound pressure and the main mode based on the sound pressure values ​​of the sound signals collected by a preset number of sound sensors, and obtains the updated amplitude of each main mode, is similar to the process by which the terminal device solves the relationship equation between sound pressure and the main mode based on the sound pressure values ​​associated with each of the sound sensors, and obtains the amplitude of each main mode. Therefore, the embodiments of this disclosure will not elaborate on this process.

[0077] It should be noted that the circumferential acoustic modal recognition method for pipelines provided in this disclosure can be applied to circular or annular pipelines, and this disclosure does not limit it in this regard. The cross-sectional view of a circular pipeline is shown below. Figure 2 As shown, the cross-sectional view of the circular pipe is as follows: Figure 3 As shown, for a ring-shaped pipe, as Figure 4 As shown, Figure 4The diagram shows a cross-sectional view of an annular pipe when the present invention is applied in an annular pipe, including five non-uniformly arranged sound sensors 402 disposed on the pipe wall 401 of the pipe, and the annular pipe also includes an inner hub 403; Figure 5 A cross-sectional view of the annular pipe is shown when the embodiments of this disclosure are applied in annular pipe. Figure 5 It shows Figure 4 The diagram shows a cross-sectional view of the pipe, in which multiple sound sensor arrays 402 are located on the same section c of the pipe wall.

[0078] For example, in this embodiment of the disclosure, the pipe acoustic circumferential mode recognition method provided in this embodiment of the disclosure can be verified by numerical simulation. It is assumed that there are 20 circumferential modes in the pipe sound field, and the actual main modes are the second-order circumferential mode, the seventh-order circumferential mode, and the fifteenth-order circumferential mode. The amplitude of the second-order circumferential mode is 3, the amplitude of the seventh-order circumferential mode is 2, and the amplitude of the fifteenth-order circumferential mode is 3.5.

[0079] Furthermore, we can define the success rate of main mode recognition and the relative error of the main mode recognition result when the amplitude of other non-dominant modes is 0. The success rate of main mode recognition is defined as follows: if the recognized main mode is the same as the actual main mode, the success rate of main mode recognition is τ = 100%; otherwise, the success rate of main mode recognition is τ = 0%.

[0080] The relative error e of the main modality recognition result is defined as

[0081] Where L is the number of actual principal modes, R i To determine the amplitude of the dominant mode using the circumferential modal identification method for pipe acoustics provided in this embodiment, A i This represents the amplitude of the true dominant mode.

[0082] Next, the circumferential modal recognition method for pipe acoustics provided in this embodiment can be used to perform 100 recognitions, and the average relative error of the main modal recognition results obtained from the 100 recognitions can be determined to obtain the final relative error of the main modal recognition result. The average success rate of the main modal recognition obtained from the 100 recognitions can also be determined to obtain the final success rate of the main modal recognition. The recognition success condition can be determined as: τ≥98% and e≤10%, such as... Figure 6 As shown, Figure 6 The diagram illustrates the relationship between the number of acoustic sensors and the relative error of the primary modality recognition result, as well as the success rate of primary modality recognition. Figure 7 The diagram illustrates the relationship between the dominant mode dominance ratio and the relative error of the principal mode recognition result, as well as the principal mode recognition success rate. Figure 8This diagram illustrates the relationship between the signal-to-noise ratio, the relative error of the main modality recognition result, and the success rate of main modality recognition; combined with... Figure 6 , Figure 7 as well as Figure 8 As can be seen, simulation results using the circumferential modal identification method for pipeline acoustics provided in this disclosure indicate that identification is successful when the number of acoustic sensors K≥4, the dominant mode dominance ratio μ>5, and the signal-to-noise ratio (SNR) >13dB. Conversely, determining the circumferential modal amplitude based on compressed sensing theory shows that identification and reconstruction are successful when the number of measurement points K>11, the dominant mode dominance ratio μ>6, and the SNR >27dB. It is evident that the circumferential modal decomposition method based on compressed sensing theory typically requires high-quality pipeline noise, such as a high dominant mode dominance ratio and / or high SNR. However, the circumferential modal identification method for pipeline acoustics provided in this disclosure can accurately determine the pipeline acoustic modal analysis results even when the pipeline noise quality is relatively poor. The dominant mode dominance ratio refers to the difference between the sound pressure value of the dominant mode and the highest sound pressure value among the non-dominant modes.

[0083] The foregoing primarily describes the solutions provided by the embodiments of this disclosure from the perspective of the terminal device. It is understood that, in order to achieve the above functions, the terminal device includes corresponding hardware structures and / or software modules for executing each function. Those skilled in the art should readily recognize that, based on the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein, this disclosure can be implemented in hardware or a combination of hardware and computer software. Whether a function is executed in hardware or by computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this disclosure.

[0084] This disclosure embodiment can divide the terminal device into functional units according to the above method example. For example, each function can be divided into a separate functional module, or two or more functions can be integrated into one processing module. The integrated module can be implemented in hardware or as a software functional module. It should be noted that the module division in this disclosure embodiment is illustrative and only represents one logical functional division. In actual implementation, there may be other division methods.

[0085] By dividing each functional module according to its corresponding function, an exemplary embodiment of this disclosure provides an image processing apparatus, which may be a terminal device or a chip applied to a terminal device. Figure 9 A schematic block diagram of the functional modules of a pipe acoustic circumferential modal recognition device according to an exemplary embodiment of the present disclosure is shown. Figure 9As shown, the pipe acoustic circumferential modal recognition device 900 includes:

[0086] The determination module 901 is configured to determine the circumferential cut-off mode in the acoustic field of the pipeline, and the main mode information in the circumferential cut-off mode, based on the structural characteristics of the impeller machinery in the pipeline.

[0087] The acquisition module 902 is configured to acquire the sound pressure values ​​of sound signals collected by a preset number of sound sensors installed on the pipe wall, wherein the number of sound sensors is greater than or equal to the number of the main modes;

[0088] The calculation module 903 is configured to solve the relationship equation between sound pressure and the dominant mode based on the sound pressure value associated with each of the sound sensors, and obtain the amplitude of each of the dominant modes.

[0089] Optionally, the structural features of the turbomachinery include the number of rotor blades and the number of stator blades.

[0090] The determining module 901 is configured as follows:

[0091] Based on the number of rotor blades, the number of stator blades, and the circumferential mode determination equation for rotor-stator interference, multiple circumferential modes in the pipe acoustic field are obtained.

[0092] Based on the cut-through mode selection criteria, the cut-through circumferential mode is determined from multiple circumferential modes;

[0093] The dominant mode and the number of dominant modes are determined from the multiple circumferential cut-off modes according to preset rules, and the dominant mode information is obtained.

[0094] Optionally, the computing module 903 is configured as follows:

[0095] By combining the sound pressure values ​​of the sound signals collected by each sound sensor, a sound pressure matrix is ​​obtained;

[0096] The amplitude values ​​to be determined for each principal mode are combined to obtain the amplitude matrix of the principal modes to be determined;

[0097] The product of the principal mode and the sound pressure feature matrix, and the amplitude matrix of the principal mode to be determined, is the sound pressure matrix, and the relationship equation between the sound pressure and the principal mode is obtained.

[0098] Solve the relational equations to obtain the amplitude of each principal mode.

[0099] Optional, such as Figure 9 As shown, the pipe acoustic circumferential modal recognition device 900 further includes an update module 904, configured to:

[0100] By combining each non-primary mode in the principal mode and the cut-off circumferential mode, multiple groups of modes to be processed are obtained;

[0101] Based on the sound pressure value associated with each of the sound sensors, the relationship equation between sound pressure and the dominant mode is solved to obtain the amplitude of the non-dominant mode in each group of modes to be processed;

[0102] For each candidate mode group, if the amplitude of the non-dominant mode in the candidate mode group is greater than a first threshold and the residual value associated with the candidate mode group is less than a second threshold, then the non-dominant mode in the candidate mode group is determined to be a newly added dominant mode. The residual value represents the difference between the noise in the pipe characterized by the noise of multiple modes in the candidate mode group and the actual noise in the pipe.

[0103] The amplitudes of the primary mode and the newly added primary mode are combined, and the number of updated primary modes is determined to obtain the updated primary mode information.

[0104] Optional, such as Figure 9 As shown, the pipe acoustic circumferential modal recognition device 900 further includes a solution module 905, configured as follows:

[0105] If the non-dominant mode in the multiple candidate mode groups is determined to be the newly added dominant mode, then the relationship equation between sound pressure and dominant mode is solved based on the sound pressure values ​​of the sound signals collected by the preset number of sound sensors, so as to obtain the updated amplitude of each dominant mode and the amplitude of each newly added dominant mode.

[0106] Optionally, the acquisition module 902 is configured as follows:

[0107] The sound pressure values ​​of the sound signals collected by a predetermined number of sound sensors that are non-uniformly arranged on the pipe wall are obtained, wherein the predetermined number of sound sensors are located on the same cross section of the pipe wall.

[0108] Optionally, the number of sound sensors is less than the number of the cut-off circumferential modes.

[0109] Figure 10 A schematic block diagram of a chip according to an exemplary embodiment of the present disclosure is shown. Figure 10 As shown, the chip 1000 includes one or more (including two) processors 1001 and a communication interface 1002. The communication interface 1002 can support the server in performing the data transmission and reception steps in the above-described image processing method, and the processor 1001 can support the server in performing the data processing steps in the above-described image processing method.

[0110] Optional, such as Figure 10As shown, the chip 1000 also includes a memory 1003, which may include read-only memory and random access memory, and provides operation instructions and data to the processor. A portion of the memory may also include non-volatile random access memory (NVRAM).

[0111] In some implementations, such as Figure 10 As shown, processor 1001 executes corresponding operations by calling operation instructions stored in memory (which may be stored in the operating system). Processor 1001 controls the processing operations of any terminal device; processor can also be called a central processing unit (CPU). Memory 1003 may include read-only memory and random access memory, and provides instructions and data to processor 1001. A portion of memory 1003 may also include NVRAM. For example, in applications, memory, communication interfaces, and other components are coupled together via a bus system, which may include, in addition to a data bus, a power bus, a control bus, and a status signal bus, etc. However, for clarity, in... Figure 10 The general labeled all buses as Bus System 1004.

[0112] The methods disclosed in the embodiments of this disclosure can be applied to a processor or implemented by a processor. The processor may be an integrated circuit chip with signal processing capabilities. During implementation, each step of the above methods can be completed by integrated logic circuits in the processor's hardware or by instructions in software form. The processor can be a general-purpose processor, a digital signal processor (DSP), an ASIC, a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this disclosure. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of this disclosure can be directly embodied in the execution of a hardware decoding processor, or executed by a combination of hardware and software modules in the decoding processor. The software modules can reside in random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, or other mature storage media in the art. This storage medium is located in memory; the processor reads information from the memory and, in conjunction with its hardware, completes the steps of the above methods.

[0113] Exemplary embodiments of this disclosure also provide an electronic device, including: at least one processor; and a memory communicatively connected to the at least one processor. The memory stores a computer program executable by the at least one processor, the computer program being executed by the at least one processor to cause the electronic device to perform a method according to an embodiment of this disclosure.

[0114] Exemplary embodiments of this disclosure also provide a non-transitory computer-readable storage medium storing a computer program, wherein the computer program, when executed by a computer's processor, is used to cause the computer to perform a method according to embodiments of this disclosure.

[0115] Exemplary embodiments of this disclosure also provide a computer program product, including a computer program, wherein, when executed by a processor of a computer, the computer program is used to cause the computer to perform a method according to an embodiment of this disclosure.

[0116] refer to Figure 11 The present invention describes a structural block diagram of an electronic device 1100 that can serve as a terminal device of the present disclosure, which is an example of a hardware device that can be applied to various aspects of the present disclosure. The electronic device is intended to represent various forms of digital electronic computer devices, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0117] like Figure 11 As shown, the electronic device 1100 includes a computing unit 1101, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 1102 or a computer program loaded from a storage unit 1108 into a random access memory (RAM) 1103. The RAM 1103 may also store various programs and data required for the operation of the device 1100. The computing unit 1101, ROM 1102, and RAM 1103 are interconnected via a bus 1104. An input / output (I / O) interface 1105 is also connected to the bus 1104.

[0118] Multiple components in electronic device 1100 are connected to I / O interface 1105, including: input unit 1106, output unit 1107, storage unit 1108, and communication unit 1109. Input unit 1106 can be any type of device capable of inputting information to electronic device 1100. Input unit 1106 can receive input digital or character information and generate key signal inputs related to user settings and / or function control of electronic device. Output unit 1107 can be any type of device capable of presenting information and may include, but is not limited to, a display, speaker, video / audio output terminal, vibrator, and / or printer. Storage unit 1104 may include, but is not limited to, disk and optical disk. Communication unit 1109 allows electronic device 1100 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks, and may include, but is not limited to, modems, network cards, infrared communication devices, wireless communication transceivers, and / or chipsets, such as Bluetooth™ devices, WiFi devices, WiMax devices, cellular communication devices, and / or the like.

[0119] The computing unit 1101 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 1101 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 1101 performs the various methods and processes described above. For example, in some embodiments, the methods of the exemplary embodiments of this disclosure can be implemented as a computer software program tangibly contained in a machine-readable medium, such as storage unit 1104. In some embodiments, part or all of the computer program can be loaded and / or installed on the electronic device 1100 via ROM 1102 and / or communication unit 1109. In some embodiments, the computing unit 1101 can be configured to perform the methods of the exemplary embodiments of this disclosure by any other suitable means (e.g., by means of firmware).

[0120] The program code used to implement the methods of this disclosure may be written in any combination of one or more programming languages. This program code may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code may be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0121] In the context of this disclosure, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0122] As used in this disclosure, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, device, and / or apparatus (e.g., disk, optical disk, memory, programmable logic device (PLD)) for providing machine instructions and / or data to a programmable processor, including machine-readable media that receive machine instructions as machine-readable signals. The term "machine-readable signal" refers to any signal for providing machine instructions and / or data to a programmable processor.

[0123] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0124] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as a data server), or computing systems that include middleware components (e.g., an application server), or computing systems that include frontend components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with embodiments of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., a communication network). Examples of communication networks include local area networks (LANs), wide area networks (WANs), and the Internet.

[0125] Computer systems can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. Client-server relationships are created by computer programs running on the respective computers and having a client-server relationship with each other.

[0126] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented, in whole or in part, as a computer program product. The computer program product includes one or more computer programs or instructions. When the computer program or instructions are loaded and executed on a computer, the processes or functions described in the embodiments of this disclosure are performed, in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, a terminal, a user equipment, or other programmable device. The computer program or instructions can be stored in a computer-readable storage medium or transferred from one computer-readable storage medium to another. For example, the computer program or instructions can be transferred from one website, computer, server, or data center to another website, computer, server, or data center via wired or wireless means. The computer-readable storage medium can be any available medium accessible to a computer or a data storage device such as a server or data center integrating one or more available media. The available medium can be a magnetic medium, such as a floppy disk, hard disk, or magnetic tape; it can also be an optical medium, such as a digital video disc (DVD); or it can be a semiconductor medium, such as a solid-state drive (SSD).

[0127] Although this disclosure has been described in conjunction with specific features and embodiments, it will be apparent that various modifications and combinations can be made therein without departing from the spirit and scope of this disclosure. Accordingly, this specification and drawings are merely exemplary illustrations of the disclosure as defined by the appended claims and are to be considered as covering any and all modifications, variations, combinations, or equivalents within the scope of this disclosure. It is obvious that those skilled in the art can make various alterations and modifications to this disclosure without departing from its spirit and scope. Thus, this disclosure is also intended to include any such modifications and modifications that fall within the scope of the claims of this disclosure and their equivalents.

Claims

1. A method for circumferential modal identification of pipeline acoustics, characterized in that, include: Based on the structural characteristics of the impeller machinery in the pipeline, the circumferential cut-off mode in the acoustic field of the pipeline, and the main mode information in the circumferential cut-off mode are determined; The sound pressure values ​​of the sound signals collected by a preset number of sound sensors installed on the pipe wall are obtained, wherein the number of sound sensors is greater than or equal to the number of the main modes; Based on the sound pressure value associated with each of the sound sensors, the relationship equation between sound pressure and the principal mode is solved to obtain the amplitude of each of the principal modes; The step of solving the relationship equation between sound pressure and the dominant mode based on the sound pressure value associated with each of the sound sensors to obtain the amplitude of each dominant mode includes: By combining the sound pressure values ​​of the sound signals collected by each sound sensor, a sound pressure matrix is ​​obtained; The amplitude values ​​to be determined for each principal mode are combined to obtain the amplitude matrix of the principal modes to be determined; The product of the principal mode and the sound pressure feature matrix, and the amplitude matrix of the principal mode to be determined, is the sound pressure matrix, thus obtaining the relationship equation between the sound pressure and the principal mode; Solve the aforementioned relational equations to obtain the amplitude of each principal mode; The relationship equation between the sound pressure and the principal mode is as follows: ； In the equation relating sound pressure and principal modes, Indicates the imaginary unit; Represents the first of the D principal modes One dominant mode, The value ranges from 1 to D; Represents the Kth sound sensor The circumferential coordinates of the location of each sound sensor; Indicates the K sound sensors that are related to the th The sound pressure level associated with each sound sensor. Represents the solution to be found in the D principal modes. The amplitude of each dominant mode.

2. The pipe acoustic circumferential modal recognition method as described in claim 1, characterized in that, The structural features of the turbomachinery include the number of rotor blades and the number of stator blades. The determination of the circumferential cut-off mode in the acoustic field of the pipeline, based on the structural characteristics of the impeller machinery in the pipeline, and the dominant mode information in the circumferential cut-off mode, includes: Based on the number of rotor blades, the number of stator blades, and the equation for determining the circumferential mode of rotor-stator interference, multiple circumferential modes in the pipe acoustic field are obtained. Based on the cut-through mode selection criteria, the cut-through circumferential mode is determined from multiple circumferential modes; The dominant mode and the number of dominant modes are determined from the multiple circumferential cut-off modes according to preset rules, and the dominant mode information is obtained.

3. The pipe acoustic circumferential modal recognition method as described in claim 1, characterized in that, The method further includes: By combining each non-primary mode in the principal mode and the cut-off circumferential mode, multiple groups of modes to be processed are obtained; Based on the sound pressure value associated with each of the sound sensors, the relationship equation between sound pressure and the dominant mode is solved to obtain the amplitude of the non-dominant mode in each group of modes to be processed; For each candidate mode group, if the amplitude of the non-dominant mode in the candidate mode group is greater than a first threshold and the residual value associated with the candidate mode group is less than a second threshold, then the non-dominant mode in the candidate mode group is determined to be a newly added dominant mode. The residual value represents the difference between the noise in the pipe characterized by the noise of multiple modes in the candidate mode group and the actual noise in the pipe. The amplitudes of the primary mode and the newly added primary mode are combined, and the number of updated primary modes is determined to obtain the updated primary mode information.

4. The pipe acoustic circumferential modal recognition method as described in claim 3, characterized in that, The method further includes: If the non-dominant mode in the multiple candidate mode groups is determined to be the newly added dominant mode, then the relationship equation between sound pressure and dominant mode is solved based on the sound pressure values ​​of the sound signals collected by the preset number of sound sensors, so as to obtain the updated amplitude of each dominant mode and the amplitude of each newly added dominant mode.

5. The pipe acoustic circumferential modal recognition method as described in claim 1, characterized in that, The step of obtaining the sound pressure values ​​of the sound signals collected by a preset number of sound sensors installed in the pipeline includes: The sound pressure values ​​of the sound signals collected by a predetermined number of sound sensors that are non-uniformly arranged on the pipe wall are obtained, wherein the predetermined number of sound sensors are located on the same cross section of the pipe wall.

6. The pipe acoustic circumferential modal recognition method as described in any one of claims 1 to 5, characterized in that, The number of sound sensors is less than the number of the cut-off circumferential modes.

7. A pipe acoustic circumferential modal recognition device, characterized in that, include: The determination module is configured to determine the circumferential cut-off mode in the acoustic field of the pipeline, and the main mode information in the circumferential cut-off mode, based on the structural characteristics of the impeller machinery in the pipeline. The acquisition module is configured to acquire the sound pressure values ​​of sound signals collected by a preset number of sound sensors installed on the pipe wall, wherein the number of sound sensors is greater than or equal to the number of the main modes; The calculation module is configured to solve the equation relating sound pressure and dominant mode based on the sound pressure value associated with each of the sound sensors, and to obtain the amplitude of each dominant mode; The step of solving the relationship equation between sound pressure and the dominant mode based on the sound pressure value associated with each of the sound sensors to obtain the amplitude of each dominant mode includes: By combining the sound pressure values ​​of the sound signals collected by each sound sensor, a sound pressure matrix is ​​obtained; The amplitude values ​​to be determined for each principal mode are combined to obtain the amplitude matrix of the principal modes to be determined; The product of the principal mode and the sound pressure feature matrix, and the amplitude matrix of the principal mode to be determined, is the sound pressure matrix, thus obtaining the relationship equation between the sound pressure and the principal mode; Solve the aforementioned relational equations to obtain the amplitude of each principal mode; The relationship equation between the sound pressure and the principal mode is as follows: ； In the equation relating sound pressure and principal modes, Indicates the imaginary unit; Represents the first of the D principal modes One dominant mode, The value ranges from 1 to D; Represents the Kth sound sensor The circumferential coordinates of the location of each sound sensor; Indicates the K sound sensors that are related to the th The sound pressure level associated with each sound sensor. Represents the solution to be found in the D principal modes. The amplitude of each dominant mode.

8. An electronic device, characterized in that, include: processor; as well as Stored program memory, The program includes instructions that, when executed by the processor, cause the processor to perform the method as described in any one of claims 1-6.

9. A non-transitory computer-readable storage medium storing computer instructions, characterized in that, The computer instructions are used to cause the computer to perform the method as described in any one of claims 1-6.

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