WO2024011510A1 - Procédé et appareil d'évaluation de pression sonore basés sur un procédé d'élément de limite de réduction d'ordre de modèle, et dispositif terminal - Google Patents

Procédé et appareil d'évaluation de pression sonore basés sur un procédé d'élément de limite de réduction d'ordre de modèle, et dispositif terminal Download PDF

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WO2024011510A1
WO2024011510A1 PCT/CN2022/105755 CN2022105755W WO2024011510A1 WO 2024011510 A1 WO2024011510 A1 WO 2024011510A1 CN 2022105755 W CN2022105755 W CN 2022105755W WO 2024011510 A1 WO2024011510 A1 WO 2024011510A1
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model
boundary
evaluated
order
sound pressure
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PCT/CN2022/105755
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English (en)
Chinese (zh)
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谢祥
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中国科学院深圳先进技术研究院
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Priority to PCT/CN2022/105755 priority Critical patent/WO2024011510A1/fr
Publication of WO2024011510A1 publication Critical patent/WO2024011510A1/fr

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation

Definitions

  • This application belongs to the field of acoustic technology, and in particular relates to sound pressure assessment methods, devices, terminal equipment and storage media based on the model-reduced-order boundary element method.
  • the embodiments of this application provide sound pressure assessment methods, devices, terminal equipment and storage media based on the model-reduced-order boundary element method, which can solve the problem in related technologies that objects that need to be analyzed for acoustic problems are usually very complex in structure, resulting in When analyzing acoustic problems, the amount of storage and calculation is too large, and the efficiency of sound pressure assessment is low.
  • a first aspect of the embodiment of the present application provides a sound pressure assessment method based on the model reduced-order boundary element method.
  • the sound pressure assessment method based on the model-reduced boundary element method includes:
  • Frequency sweep calculation is performed on the low-dimensional reduced-order model according to the frequency domain of interest to generate sound pressure evaluation results corresponding to the model to be evaluated in the frequency domain of interest.
  • a second aspect of the embodiment of the present application provides a sound pressure evaluation device based on the model reduced-order boundary element method.
  • the sound pressure evaluation device based on the model-reduced boundary element method includes:
  • the acquisition module is used to obtain the model to be evaluated and its corresponding frequency domain of interest
  • An order reduction module used to perform order reduction processing on the model to be evaluated to generate a low-dimensional reduced order model corresponding to the model to be evaluated;
  • a frequency sweep module is configured to perform frequency sweep calculation on the low-dimensional reduced-order model according to the frequency domain of interest to generate sound pressure evaluation results corresponding to the model to be evaluated in the frequency domain of interest.
  • a third aspect of the embodiment of the present application provides a terminal device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor executes the computer program When realizing the sound pressure assessment method based on the model-reduced-order boundary element method described in the first aspect above.
  • a fourth aspect of the embodiments of the present application provides a computer-readable storage medium that stores a computer program.
  • the computer program is executed by a processor, the model-based reduction described in the first aspect is implemented. Sound pressure evaluation method using the first-order boundary element method.
  • the fifth aspect of the embodiments of the present application provides a computer program product.
  • the terminal device executes the model-based reduced-order boundary element method described in the first aspect. Sound pressure assessment methods.
  • the beneficial effects of the embodiments of the present application are: by obtaining the model to be evaluated and its corresponding frequency domain of interest, and performing reduction processing on the model to be evaluated, to generate a low-dimensional reduced order corresponding to the model to be evaluated. model, and then perform frequency sweep calculation on the low-dimensional reduced-order model according to the frequency domain of interest to generate the sound pressure evaluation results corresponding to the model to be evaluated in the frequency domain of interest. Therefore, by reducing the order of the model to be evaluated, the model to be evaluated is simplified, and the dimension of the system equation to be evaluated formed by the large-scale model to be evaluated is reduced, thereby reducing the memory requirements during the frequency sweep process and improving the efficiency of the frequency sweep. The calculation efficiency of the analysis is improved, thereby improving the efficiency of sound pressure assessment.
  • Figure 1 is a schematic flow chart of a sound pressure assessment method based on the model-reduced-order boundary element method provided by an embodiment of the present application;
  • Figure 2 is a schematic flow chart of a sound pressure assessment method based on the model-reduced-order boundary element method provided by another embodiment of the present application;
  • Figure 3 is a grid diagram of a partial area of the model to be evaluated provided by an embodiment of the present application.
  • Figure 4 is a schematic structural diagram of a sound pressure evaluation device based on the model-reduced-order boundary element method provided by an embodiment of the present application;
  • Figure 5 is a schematic structural diagram of a terminal device provided by an embodiment of the present application.
  • the term “if” may be interpreted as “when” or “once” or “in response to determining” or “in response to detecting” depending on the context. ". Similarly, the phrase “if determined” or “if [the described condition or event] is detected” may be interpreted, depending on the context, to mean “once determined” or “in response to a determination” or “once the [described condition or event] is detected ]” or “in response to detection of [the described condition or event]”.
  • sequence number of each step in this embodiment does not mean the order of execution.
  • the execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present application.
  • This application provides a sound pressure assessment method based on the model-reduced-order boundary element method. It can obtain the model to be evaluated and its corresponding frequency domain of interest, and perform reduction processing on the model to be evaluated to generate the model corresponding to the model to be evaluated.
  • the low-dimensional reduced-order model is then used to perform frequency sweep calculation on the low-dimensional reduced-order model according to the frequency domain of interest to generate the sound pressure evaluation results corresponding to the model to be evaluated in the frequency domain of interest. Therefore, by reducing the order of the model to be evaluated, the model to be evaluated is simplified, and the dimension of the system equation to be evaluated formed by the large-scale model to be evaluated is reduced, thereby reducing the memory requirements during the frequency sweep process and improving the efficiency of the frequency sweep. The calculation efficiency of the analysis is improved, thereby improving the efficiency of sound pressure assessment.
  • a sound pressure assessment method based on the model-reduced-order boundary element method is provided. This method is explained by taking the method applied to a terminal as an example, and includes the following steps:
  • Step 101 Obtain the model to be evaluated and its corresponding frequency domain of interest.
  • the model to be evaluated can be a sound field model to be evaluated for sound pressure, such as drawing a two-dimensional or three-dimensional structure model diagram through drawing software, such as: AutoCAD (Autodesk Computer Aided Design, automatic computer-aided design software).
  • AutoCAD Autodesk Computer Aided Design, automatic computer-aided design software
  • the frequency domain of interest can be a preset frequency range or frequency point for frequency response analysis.
  • the frequency domain of interest can be set according to the requirements of sound pressure evaluation, such as 11Hz-1000Hz, which is not limited in the embodiments of the present application.
  • the actual sound pressure assessment scenario can be used in advance to draw the corresponding model to be evaluated in the scenario through drawing software, and the frequency domain of interest can be preset based on the noise frequency range involved in the scenario.
  • CAD drawing software can be used to draw the sound field model of the aircraft as the model to be evaluated, and then based on the actual noise frequency generated by the aircraft in actual applications Range, preset frequency domain of interest.
  • Step 102 Perform reduction processing on the model to be evaluated to generate a low-dimensional reduced-order model corresponding to the model to be evaluated.
  • the low-dimensional reduced-order model uses Taylor's theorem to expand the acoustic boundary element kernel function, and then based on the characteristic that the amplitude of the boundary element kernel function attenuates with distance, according to the preset cutoff radius Construct a sparse system matrix to quickly generate an orthogonal basis, that is, for each source point, only select a few nearby strong interaction points for integral calculation, forming a large-scale sparse rather than dense system matrix, so It avoids the need to store and solve the original large-scale full-order model for traditional model reduction.
  • the system matrix is formed column by column and projected onto the global orthogonal basis by considering the interaction between the source point and the collocation points on all boundaries.
  • a low-dimensional reduced-order model is obtained from the formed subspace, and this process consumes low memory.
  • Step 103 Perform frequency sweep calculation on the low-dimensional reduced-order model according to the frequency domain of interest to generate sound pressure evaluation results corresponding to the model to be evaluated in the frequency domain of interest.
  • frequency sweep calculation is performed on the low-dimensional reduced-order model through the frequency domain of interest, and the low-dimensional reduced-order model is solved to obtain the corresponding sound pressure evaluation result of the corresponding model to be evaluated in the frequency domain of interest.
  • the sound pressure evaluation result can be the sound pressure value of each configuration point of the model to be evaluated; or, the sound pressure value of each configuration point of the model to be evaluated can be further analyzed to generate the corresponding sound intensity or sound pressure level. Wait for data.
  • the sound pressure evaluation results can also be visualized and displayed in each boundary unit of the model to be evaluated according to the sound pressure value of each configuration point, so as to clearly and directly see the sound pressure value of each area of the model to be evaluated. Sound pressure conditions.
  • a low-dimensional reduced-order model corresponding to the model to be evaluated is generated by obtaining the model to be evaluated and its corresponding frequency domain of interest, and performing reduction processing on the model to be evaluated. , and then perform frequency sweep calculation on the low-dimensional reduced-order model according to the frequency domain of interest to generate the sound pressure evaluation results corresponding to the model to be evaluated in the frequency domain of interest. Therefore, by reducing the order of the model to be evaluated, the model to be evaluated is simplified, and the dimension of the system equation to be evaluated formed by the large-scale model to be evaluated is reduced, thereby reducing the memory requirements during the frequency sweep process and improving the efficiency of the frequency sweep. The calculation efficiency of the analysis is improved, thereby improving the efficiency of sound pressure assessment.
  • a schematic flow chart of another sound pressure assessment method based on the model-reduced-order boundary element method provided by the embodiment of the present application includes:
  • Step 201 Obtain the model to be evaluated and its corresponding frequency domain of interest.
  • Step 202 Divide the boundaries of the model to be evaluated to generate a grid diagram corresponding to the model to be evaluated, where the grid diagram includes multiple boundary units, and each boundary unit has a corresponding configuration point.
  • dividing the boundaries of the model to be evaluated may be dividing units on the boundaries of the definition domain.
  • the boundary element may refer to a unit formed by meshing the surface of the three-dimensional model to be evaluated, or may refer to a unit formed by meshing the envelope of the two-dimensional model to be evaluated.
  • FIG. 3 it is a local grid diagram corresponding to a model to be evaluated provided by an embodiment of the present application.
  • the model to be evaluated is a three-dimensional model to be evaluated.
  • the grid diagram shown in Figure 3 is the result of dividing part of the surface of the model to be evaluated.
  • Each triangular area in Figure 3 is a boundary unit.
  • the dot or circle in each boundary unit is the corresponding matching point of the boundary unit.
  • Step 203 Determine the strong interaction unit corresponding to each boundary unit based on the coordinates of each boundary unit and the preset cutoff radius.
  • the preset cutoff radius can be determined based on the average unit area of all boundary units. It can be understood that for a model diagram with a two-dimensional structure to be evaluated, the preset truncation radius may be a circle radius; for a three-dimensional structure model to be evaluated, the preset truncation radius may be a spherical radius. In actual use, the preset truncation radius can also be selected according to other methods, which is not limited in the embodiments of the present application.
  • the preset cutoff radius can be based on Determine, where R is the preset cutoff radius, A i is the area of the i-th boundary unit in the grid diagram, mean(A i ) is the average area of all boundary element triangle grids, and i is the boundary in the grid diagram The serial number of the unit.
  • the preset truncation radius can be set according to actual needs and specific application scenarios, which is not limited in the embodiments of the present application.
  • the boundary element kernel function attenuates with distance, that is, the amplitude of the three-dimensional acoustic boundary element kernel function decreases in inverse proportion with the increase in distance, that is, 1/r; while the amplitude of the two-dimensional acoustic boundary element kernel function It decreases inversely with the increase of the 1/2 power of the distance, that is, Among them, r is the distance between the source point of the boundary element and other configuration points, that is to say, the farther the distance between the source point and other configuration points, the weaker the interaction between the source point and other configuration points; conversely, the source point The closer the distance to other configuration points, the stronger the interaction between the source point and other configuration points.
  • the k-d tree search algorithm can be used to traverse each boundary unit in the grid diagram corresponding to the model to be evaluated, and determine each boundary based on the coordinates of each boundary unit and the preset truncation radius.
  • the boundary unit whose distance from the current source point is less than or equal to a preset cutoff radius may be determined as the strong interaction unit corresponding to the current source point. That is, in a possible implementation manner of the embodiment of this application, the above step 203 may include:
  • any boundary unit is determined as the strongly interacting unit of the current source point.
  • the boundary unit corresponding to the matching point is the boundary unit of the current source point.
  • a strong interaction unit is a matching point of a boundary unit whose distance from the current source point is greater than the preset cutoff radius.
  • the corresponding boundary unit is a weak interaction unit of the current source point.
  • Step 204 Determine the sparse system matrix corresponding to the model to be evaluated based on each boundary unit and the strong interaction unit corresponding to each boundary unit.
  • the strong interaction unit constructs the system matrix corresponding to the model to be evaluated, and the weak interaction unit is discarded. There is no need to calculate the weak interaction unit, thereby generating a sparse system matrix corresponding to the model to be evaluated. Compared with the traditional model in the existing technology, the order is reduced.
  • the orthogonal basis construction process reduces the memory space and calculation amount required for the orthogonal basis construction process.
  • the sparse system matrix corresponding to the model to be evaluated can be determined through integration. That is, in a possible implementation of the embodiment of the present application, the above step 204 may include:
  • the basic solution after Taylor expansion is integrated to generate a sparse system matrix corresponding to the model to be evaluated.
  • the basic solution after Taylor expansion can be Taylor expansion of the basic solution of two-dimensional or three-dimensional acoustic problems, so that the frequency domain and space domain are decoupled.
  • the number of Taylor expansion terms of the basic solution obtained is determined by the remaining terms, that is, it depends on Depending on the size of the model considered and the frequency range considered.
  • the sparse system matrix corresponding to the model to be evaluated is generated by integrating based on the basic solution after Taylor expansion. Therefore, the sparse system matrix corresponding to the model to be evaluated is a sparse system matrix that is independent of frequency. Therefore, in the considered frequency range, the integral calculation only needs to be performed once, while the existing technology requires an integral calculation once for each frequency point of interest in the frequency domain of interest. Therefore, the calculation efficiency is improved compared to the existing technology.
  • Step 205 Determine the global orthogonal basis of the sparse system matrix and the frequency expansion point, where the frequency expansion point is selected from the frequency domain of interest.
  • the frequency expansion point can be a frequency point selected in advance from the frequency domain of interest; it can also be automatically selected through the adaptive process; or it can be set by the user according to actual usage requirements.
  • the number of frequency expansion points can be selected according to actual conditions, such as 3, 5, etc., which is not limited in the embodiments of the present application.
  • the orthogonal basis of the sparse system matrix and each frequency expansion point can be determined first, and then the global orthogonal basis can be determined based on the local orthogonal basis of the sparse system matrix and each frequency expansion point. That is, the above step 205 may include:
  • the local orthogonal basis can be an orthogonal basis constructed from a frequency expansion point and a sparse system matrix.
  • the orthogonal basis is the result of pairwise orthogonality of elements. Then, by orthogonalizing each local orthogonal basis, a global orthogonal basis can be generated.
  • the second-order Arnoldi method can be used to determine the local orthogonal basis of each frequency expansion point and the sparse system matrix, whose dimensions are determined by the condition number of the upper Hessenberg matrix (ie: Heisenberg matrix).
  • orthogonal basis is not limited to the second-order Arnoldi method.
  • the traditional Proper Orthogonal Decomposition (POD) method can also be used.
  • the calculation principles are the same and will not be described again here.
  • orthogonalizing each local orthogonal basis to generate a global orthogonal basis may include:
  • singular value decomposition can decompose features on any matrix.
  • Step 206 Use the configuration point of each boundary unit as a source point in turn, and integrate the basic solution after Taylor expansion according to the distance between the source point and the configuration point of each boundary unit in the grid diagram. To generate a column vector corresponding to each boundary unit.
  • the column vector corresponding to each boundary unit is generated by integrating based on the basic solution after Taylor expansion. Therefore, the column vector corresponding to each boundary unit is a column vector independent of frequency. Therefore, in the considered frequency range, the integral calculation only needs to be performed once, while the existing technology requires an integral calculation once for each frequency point of interest in the frequency domain of interest. Therefore, the calculation efficiency is improved compared to the existing technology.
  • Step 207 Project the column vector corresponding to each boundary unit into the subspace spanned by the global orthogonal basis to generate a low-dimensional reduced-order model.
  • the column vector corresponding to each boundary unit can be projected into the subspace spanned by the global orthogonal basis in a column-by-column assembly projection manner.
  • the strong interaction unit corresponding to each boundary unit is determined through the preset truncation radius, and then the sparse system matrix corresponding to the model to be evaluated is determined based on the strong interaction unit corresponding to each boundary unit.
  • step 207 may include:
  • every time a column vector corresponding to a boundary unit is generated the column vector is left-projected into the subspace spanned by the global orthogonal basis; the collocation points that traverse other boundary units are returned as source points for the grid
  • the collocation points of all boundary units in the figure are integrated to generate the column vector corresponding to each boundary unit, and then the column vector is left-projected into the subspace formed by the global orthogonal basis; until the column vectors corresponding to all boundary units are After the projection is completed, all column vectors are left-projected to obtain the matrix and right-projected into the subspace spanned by the global orthogonal basis to generate a low-dimensional reduced-order model.
  • the entire process does not form a dense matrix, which reduces memory requirements and eliminates the need for storage.
  • Step 208 Perform frequency sweep calculation on the low-dimensional reduced-order model according to the frequency domain of interest to generate sound pressure evaluation results corresponding to the model to be evaluated in the frequency domain of interest.
  • the model to be evaluated and its corresponding frequency domain of interest are obtained, and a grid diagram corresponding to the model to be evaluated is generated, and then according to the coordinates of each boundary unit and The preset truncation radius is used to determine the strong interaction unit corresponding to each boundary unit, and then the sparse system matrix corresponding to the model to be evaluated is constructed through the strong interaction unit, and then the local orthogonal basis of the sparse system matrix and the frequency expansion point is determined, and through the All local orthogonal bases are orthogonalized to obtain the global orthogonal base.
  • the configuration points of each boundary unit are used as source points to integrate the configuration points of all boundary units in the grid diagram to generate the column vector corresponding to each boundary unit. Then, the column vector corresponding to each boundary unit is projected into the subspace spanned by the global orthogonal basis to generate a low-dimensional reduced-order model, and then a frequency sweep calculation is performed on the low-dimensional reduced-order model according to the frequency domain of interest to generate The corresponding sound pressure evaluation results of the model to be evaluated in the frequency domain of interest. Therefore, through the preset truncation radius, a sparse system matrix corresponding to the model to be evaluated is constructed for the construction of the local orthogonal basis, and the second-order Arnoldi method is selected to construct the local orthogonal basis.
  • the process of constructing an orthogonal basis reduces the memory space and calculation amount required to construct an orthogonal basis. Then, based on the constructed global orthogonal basis, the model to be evaluated can be quickly reduced in order, simplifying the model to be evaluated and reducing the cost of large-scale
  • the dimension of the system equation to be evaluated formed by the model to be evaluated reduces the memory requirements during the frequency sweep process, improves the calculation efficiency of frequency sweep analysis, and thereby improves the efficiency of sound pressure evaluation.
  • a sound pressure evaluation device based on the model-reduced-order boundary element method is provided.
  • the device can adopt a software module or a hardware module, or a combination of the two to become part of a computer device.
  • the device specifically includes: an acquisition module 410, an order reduction module 420 and a frequency sweep module 430, wherein:
  • the acquisition module 410 is used to acquire the model to be evaluated and its corresponding frequency domain of interest.
  • the order reduction module 420 is used to reduce the order of the model to be evaluated, so as to generate a low-dimensional reduced order model corresponding to the model to be evaluated.
  • the frequency sweep module 430 is used to perform frequency sweep calculation on the low-dimensional reduced-order model according to the frequency domain of interest to generate sound pressure evaluation results corresponding to the model to be evaluated in the frequency domain of interest.
  • the order reduction module 420 is also used to: divide the boundaries of the model to be evaluated to generate a grid diagram corresponding to the model to be evaluated, wherein the grid diagram includes multiple boundary units, each boundary unit having Corresponding configuration points; determine the strong interaction unit corresponding to each boundary unit based on the coordinates of each boundary unit and the preset cutoff radius; determine the model to be evaluated based on each boundary unit and the strong interaction unit corresponding to each boundary unit
  • the corresponding sparse system matrix determine the local orthogonal basis of the sparse system matrix and the frequency extension point, and orthogonalize all local orthogonal basis to obtain the global orthogonal basis, where the frequency extension point is selected from the frequency domain of interest ;
  • Use the configuration point of each boundary unit as a source point in turn, and integrate the basic solution after Taylor expansion according to the distance between the source point and the configuration point of each boundary unit in the grid diagram to generate The column vector corresponding to each boundary unit; project the column vector corresponding to each boundary unit into a subspace spanned by a global ortho
  • the order reduction module 420 is also used to: traverse the configuration points of each boundary unit as the current source point; the distance between the configuration point of any boundary unit in the grid diagram and the current source point is less than or equal to a predetermined value. If the truncation radius is set, any boundary unit is determined as the strong interaction unit of the current source point.
  • the order reduction module 420 is also used to perform the following steps on the basic solution after Taylor expansion based on the distance between the configuration point of each boundary unit and the corresponding configuration point of each strong interaction unit. Integrate to generate a sparse system matrix corresponding to the model to be evaluated.
  • the order reduction module 420 is also used to: traverse the source points of each boundary unit, and left-project the column vector formed by the source point of each boundary unit and all configuration points to the subspace spanned by the global orthogonal basis. , until the source points of all boundary units are traversed; the matrix obtained by column-by-column left projection is right-projected into the subspace spanned by the global orthogonal basis to generate a low-dimensional reduced-order model.
  • the order reduction module 420 is also used to: determine the local orthogonal basis of each frequency expansion point and the sparse system matrix; orthogonalize each local orthogonal basis to generate the global orthogonal basis.
  • the order reduction module 420 is also used to perform singular value decomposition on each local orthogonal basis to generate a global orthogonal basis.
  • the preset cutoff radius is determined based on the average area of all boundary cells.
  • Each module in the above-mentioned sound pressure evaluation device based on the model-reduced-order boundary element method can be implemented in whole or in part by software, hardware, and combinations thereof.
  • Each of the above modules may be embedded in or independent of the processor of the computer device in the form of hardware, or may be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.
  • FIG. 5 is a schematic structural diagram of a terminal device provided by this application.
  • the terminal device 700 of this embodiment includes: at least one processor 710 (only one is shown in Figure 5), a memory 720, and a processor stored in the memory 720 and capable of processing in the at least one
  • the computer program 721 runs on the processor 710.
  • the processor 710 executes the computer program 721
  • the steps in the above sound pressure assessment method embodiment based on the model reduced-order boundary element method are implemented.
  • the terminal device 700 may be a computing device such as a desktop computer, a notebook, a handheld computer, a cloud server, etc.
  • the terminal device may include, but is not limited to, a processor 710 and a memory 720 .
  • FIG. 5 is only an example of the terminal device 700 and does not constitute a limitation on the terminal device 700. It may include more or fewer components than shown in the figure, or some components may be combined, or different components may be used. , for example, it may also include input and output devices, network access devices, etc.
  • the so-called processor 710 can be a central processing unit (Central Processing Unit, CPU).
  • the processor 710 can also be other general-purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit). , ASIC), off-the-shelf programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.
  • a general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc.
  • the memory 720 may be an internal storage unit of the terminal device 700 in some embodiments, such as a hard disk or memory of the terminal device 700 . In other embodiments, the memory 720 may also be an external storage device of the terminal device 700, such as a plug-in hard disk, a smart memory card (SMC), or a secure digital card equipped on the terminal device 700. (Secure Digital, SD) card, flash card (Flash Card), etc. Further, the memory 720 may also include both an internal storage unit of the terminal device 700 and an external storage device. The memory 720 is used to store operating systems, application programs, boot loaders (Boot Loaders), data, and other programs, such as program codes of the computer programs. The memory 720 can also be used to temporarily store data that has been output or is to be output.
  • Module completion means dividing the internal structure of the device into different functional units or modules to complete all or part of the functions described above.
  • Each functional unit and module in the embodiment can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit.
  • the above-mentioned integrated unit can be hardware-based. It can also be implemented in the form of software functional units.
  • the specific names of each functional unit and module are only for the convenience of distinguishing each other and are not used to limit the scope of protection of the present application.
  • For the specific working processes of the units and modules in the above system please refer to the corresponding processes in the foregoing method embodiments, and will not be described again here.
  • the disclosed apparatus/terminal equipment and methods can be implemented in other ways.
  • the device/terminal equipment embodiments described above are only illustrative.
  • the division of modules or units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units. Or components can be combined or can be integrated into another system, or some features can be omitted, or not implemented.
  • the coupling or direct coupling or communication connection between each other shown or discussed may be through some interfaces, indirect coupling or communication connection of devices or units, which may be in electrical, mechanical or other forms.
  • the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or they may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.
  • each functional unit in each embodiment of the present application can be integrated into one processing unit, each unit can exist physically alone, or two or more units can be integrated into one unit.
  • the above integrated units can be implemented in the form of hardware or software functional units.
  • the integrated module/unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium.
  • the present application can implement all or part of the processes in the methods of the above embodiments, which can also be completed by instructing relevant hardware through a computer program.
  • the computer program can be stored in a computer-readable storage medium, and the computer can When the program is executed by the processor, the steps of each of the above method embodiments can be implemented.
  • the computer program includes computer program code, which may be in source code form, object code form, executable file or some intermediate form, etc.
  • the computer-readable medium may include: any entity or device capable of carrying the computer program code, recording media, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (Read-Only Memory, ROM) , Random Access Memory (RAM), electrical carrier signals, telecommunications signals, and software distribution media, etc.
  • the content contained in the computer-readable medium can be appropriately added or deleted according to the requirements of legislation and patent practice in the jurisdiction.
  • the computer-readable medium Excludes electrical carrier signals and telecommunications signals.
  • This application implements all or part of the processes in the methods of the above embodiments, and can also be completed through a computer program product.
  • the above methods can be implemented when the terminal device executes it. Steps in Examples.

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Abstract

L'invention concerne un procédé d'évaluation de pression sonore basé sur un procédé d'élément de limite de réduction d'ordre de modèle, consistant à : acquérir un modèle à évaluer et un domaine fréquentiel d'intérêt correspondant à celui-ci (101) ; effectuer une réduction d'ordre sur le modèle à évaluer, de façon à générer un modèle d'ordre réduit de faible dimension correspondant au modèle à évaluer (102) ; et effectuer un calcul de balayage de fréquence sur le modèle d'ordre réduit de faible dimension sur la base du domaine fréquentiel d'intérêt, de façon à générer un résultat d'évaluation de pression sonore dans le domaine fréquentiel d'intérêt qui correspond au modèle à évaluer (103). L'efficacité d'évaluation de la pression sonore est améliorée. L'invention concerne en outre un appareil d'évaluation de pression sonore basé sur un procédé d'élément de limite de réduction d'ordre de modèle, un dispositif terminal et un support de stockage lisible par ordinateur.
PCT/CN2022/105755 2022-07-14 2022-07-14 Procédé et appareil d'évaluation de pression sonore basés sur un procédé d'élément de limite de réduction d'ordre de modèle, et dispositif terminal WO2024011510A1 (fr)

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