Noise reduction control method, system and equipment for range hood, medium and intelligent household appliance

Abstract

The invention provides a noise reduction control method, system and device of an extractor hood, a medium and an intelligent household electrical appliance, and the noise reduction control method comprises the steps that experimental modal parameters corresponding to all orders of volute parts under initial material information are obtained; calculating simulation modal parameters; error information of all orders of any volute part is obtained; responding that the error information is smaller than or equal to preset error information, and determining that volute parts in the range hood meet the noise reduction standard; when the error information is larger than preset error information in response, volute parts corresponding to the error information and corresponding order information are obtained; and optimizing the initial material information of the volute part based on a preset optimization function until the preset optimization function meets a preset standard, so that the volute part in the range hood meets a noise reduction standard. Through the noise reduction control method provided by the invention, the material information corresponding to the volute part can be quickly obtained, and the noise reduction standard is met.

Description

Technical Field

[0001] This disclosure relates to the field of smart home appliances, and in particular to a noise reduction control method, system, device, medium, and smart home appliance for a range hood. Background Technology

[0002] As people's living standards improve and technologies such as the internet, big data, artificial intelligence, and voice interaction become more widespread, traditional lifestyles are gradually changing, and the use of home appliances is increasingly moving towards intelligentization. While bringing more convenience to users, the functions of various home appliances are also becoming more diversified.

[0003] Currently, the volute is a core component of the range hood fan system, serving as an "intermediate bridge." Structural simulation optimization of the volute is crucial. Since the excitation and back pressure at the rear are unclear, it is necessary to minimize the risk modal density in the early stages of optimization while also considering the modal shift caused by processing.

[0004] The traditional approach is to optimize based on the simulation results, and optimizers will use their own experience to optimize based on the simulation results. They often optimize by increasing structural strength, adding stiffeners, etc., to increase the modal frequency. In other words, the optimization effect is often to shift the modal frequency to a higher frequency. However, this method has less and less optimization value as the motor speed increases, and it also gradually becomes ineffective in adapting to different back pressures. Summary of the Invention

[0005] The technical problem to be solved by this disclosure is to overcome the defect of poor noise reduction control caused by modal shift in the volute in the prior art, and to provide a noise reduction control method, system, device, medium and smart home appliance for range hoods.

[0006] This disclosure solves the above-mentioned technical problems through the following technical solution:

[0007] According to a first aspect of this disclosure, a noise reduction control method for a range hood is provided, the noise reduction control method comprising:

[0008] Obtain the initial material information of several volute components in the range hood, and the experimental modal parameters corresponding to each order under the initial material information;

[0009] Obtain the simulation modal parameters corresponding to each order of any of the aforementioned volute components;

[0010] Based on the experimental modal parameters and the simulation modal parameters, error information of each order of any of the volute components is obtained;

[0011] In response to the fact that the error information of the volute component is greater than the preset error information, the volute component corresponding to the error information and the corresponding order information are obtained; and the initial material information of the volute component is optimized based on the preset optimization function until the preset optimization function meets the preset standard, and the target material information is output so that the volute component in the range hood meets the noise reduction standard.

[0012] Optionally, the experimental modal parameters include at least one of natural frequency information and mode shape information.

[0013] The steps for obtaining the experimental modal parameters corresponding to several volute components in the range hood include:

[0014] The experimental natural frequency information and experimental mode information of several volute components in the range hood were obtained based on the experimental modal analysis method.

[0015] And / or,

[0016] The step of obtaining the simulation modal parameters corresponding to any of the volute components includes:

[0017] Based on the characteristic equation and the preset solution algorithm, the simulated natural frequency information and simulated vibration mode information of several volute components in the range hood are obtained.

[0018] Optionally, obtaining error information of each order for any of the volute components based on the experimental modal parameters and the simulation modal parameters includes:

[0019] Obtain the experimental natural frequency information and the simulated natural frequency information of the volute component at any order;

[0020] The frequency error information of the volute component at any order is calculated based on the first preset formula.

[0021] Obtain the experimental vibration mode information and the simulated vibration mode information of the volute component at any order;

[0022] The vibration mode error information of the volute component at any order is calculated based on the second preset formula.

[0023] Based on the third preset formula, the frequency error information, and the mode shape error information, error information of each order of any of the volute components is obtained.

[0024] Optionally, the initial material information includes at least initial thickness information and initial Young's modulus information;

[0025] The optimization of the initial material information of the volute component based on a preset optimization function until the preset optimization function meets a preset standard, and the output of target material information, includes:

[0026] The first thickness information and the first Young's modulus information of the volute component are obtained using a preset strategy;

[0027] The steps of obtaining the experimental modal parameters corresponding to each order under the first thickness information and the first Young's modulus information are repeated until the preset optimization function meets the preset standard.

[0028] The target material information that conforms to the preset standard is output by the preset optimization function.

[0029] Optionally, after the step where the preset optimization function meets the preset standard, the noise reduction control method further includes:

[0030] Obtain the modal contribution information of the volute component at each order at a preset frequency;

[0031] If the modal contribution information is greater than a first threshold, then the excitation acceleration information at the preset frequency is less than a second threshold.

[0032] According to a second aspect of this disclosure, a noise reduction control system for a range hood is provided, the noise reduction control system comprising:

[0033] The experimental modal parameter acquisition module is used to acquire the initial material information of several volute components in the range hood, as well as the experimental modal parameters corresponding to each order under the initial material information.

[0034] The simulation modal parameter calculation module is used to obtain the simulation modal parameters corresponding to each order of any of the volute components;

[0035] The error acquisition module is used to acquire error information of each order of any of the volute components based on the experimental modal parameters and the simulation modal parameters.

[0036] The processing module is configured to, in response to the fact that the error information of the volute component is greater than the preset error information, acquire the volute component corresponding to the error information and the corresponding order information; optimize the initial material information of the volute component based on the preset optimization function until the preset optimization function meets the preset standard, and output the target material information so that the volute component in the range hood meets the noise reduction standard.

[0037] Optionally, the experimental modal parameters include at least one of natural frequency information and mode shape information.

[0038] The experimental modal parameter acquisition module is used to acquire the experimental natural frequency information and experimental vibration mode information of several volute components in the range hood based on the experimental modal analysis method.

[0039] And / or,

[0040] The simulation modal parameter calculation module is used to obtain the simulation natural frequency information and simulation mode information of several volute components in the range hood based on the characteristic equation and the preset solution algorithm.

[0041] Optionally, the error acquisition module is used to:

[0042] Obtain the experimental natural frequency information and the simulated natural frequency information of the volute component at any order;

[0043] The frequency error information of the volute component at any order is calculated based on the first preset formula.

[0044] Obtain the experimental vibration mode information and the simulated vibration mode information of the volute component at any order;

[0045] The vibration mode error information of the volute component at any order is calculated based on the second preset formula.

[0046] Based on the third preset formula, the frequency error information, and the mode shape error information, error information of each order of any of the volute components is obtained.

[0047] Optionally, the initial material information includes at least initial thickness information and initial Young's modulus information;

[0048] The processing module is also used for:

[0049] The first thickness information and the first Young's modulus information of the volute component are obtained using a preset strategy;

[0050] The steps of obtaining the experimental modal parameters corresponding to each order under the first thickness information and the first Young's modulus information are repeated until the preset optimization function meets the preset standard.

[0051] The target material information that conforms to the preset standard is output by the preset optimization function.

[0052] Optionally, the noise reduction control system further includes a contribution information acquisition module, which is used to acquire modal contribution information of the volute component at each order at a preset frequency after the output target material information is obtained.

[0053] If the modal contribution information is greater than a first threshold, then the excitation acceleration information at the preset frequency is less than a second threshold.

[0054] According to a third aspect of this disclosure, a smart home appliance is provided, the smart home appliance including the noise reduction control system of the range hood described in the second aspect of this disclosure.

[0055] According to a fourth aspect of this disclosure, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and for running on the processor, wherein the processor executes the computer program to implement the noise reduction control method for a range hood according to the first aspect of this disclosure.

[0056] According to a fifth aspect of this disclosure, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the noise reduction control method for a range hood as described in the first aspect of this disclosure.

[0057] According to a sixth aspect of this disclosure, a computer program product is provided, comprising a computer program that, when executed by a processor, implements the noise reduction control method for a range hood as described in the first aspect of this disclosure.

[0058] Based on common knowledge in the field, the above-mentioned preferred conditions can be combined arbitrarily to obtain various preferred embodiments of this disclosure.

[0059] The positive and progressive effects of this disclosure are as follows:

[0060] The noise reduction control method provided in this disclosure compares experimental modal parameters and simulation modal parameters, and measures the error step by step to accurately identify the volute components that cause noise problems. At the same time, when the error information obtained after analysis is greater than a preset threshold, the parameters are dynamically adjusted through a preset optimization function, and iterated until the experimental modal parameters and simulation modal data converge. The target material information that can be mass-produced is then output, thereby suppressing vibration noise from the source and reducing R&D costs. Attached Figure Description

[0061] Figure 1 This is a flowchart illustrating the noise reduction control method provided in Embodiment 1 of this disclosure;

[0062] Figure 2 This is a schematic diagram of the noise reduction control system provided in Embodiment 2 of this disclosure;

[0063] Figure 3 This is a schematic diagram of the structure of the electronic device provided in Embodiment 4 of this disclosure. Detailed Implementation

[0064] The present disclosure is further illustrated below by way of embodiments, but the present disclosure is not limited to the scope of the embodiments described herein.

[0065] The prefixes such as "first" and "second" used in this disclosure are merely for distinguishing different descriptive objects and do not limit the position, order, priority, quantity, or content of the described objects. The use of ordinal numbers and other prefixes used to distinguish descriptive objects in this disclosure does not constitute a limitation on the described objects. The description of the described objects is given in the claims or the context of the embodiments, and should not be construed as an unnecessary limitation. Furthermore, in the description of this embodiment, unless otherwise stated, "multiple" means two or more.

[0066] Example 1

[0067] like Figure 1 As shown, this embodiment provides a noise reduction control method for a range hood, the noise reduction control method including:

[0068] S11: Obtain the initial material information of several volute components in the range hood, as well as the experimental modal parameters corresponding to each order under the initial material information;

[0069] S12: Obtain the simulation modal parameters corresponding to each order of any volute component;

[0070] S13: Obtain error information of each order of any volute component based on experimental modal parameters and simulation modal parameters;

[0071] S14: In response to the error information of the volute component being greater than the preset error information, the volute component corresponding to the error information and the corresponding order information are obtained; and the initial material information of the volute component is optimized based on the preset optimization function until the preset optimization function meets the preset standard.

[0072] Among them, the simulation modal parameters corresponding to each order of the volute components refer to the numbers corresponding to the natural vibration modes of the corresponding structures. The volute components under different orders have corresponding natural frequencies and mode shapes.

[0073] When the error information of each order of the volute component is less than or equal to the preset error information, the volute component in the range hood meets the noise reduction standard; after meeting the noise reduction standard, the target material information is output so that the volute component in the range hood meets the noise reduction standard.

[0074] The noise reduction control method provided in this disclosure compares experimental modal parameters and simulation modal parameters, and measures the error step by step to accurately identify the volute components that cause noise problems. At the same time, when the error information obtained after analysis is greater than a preset threshold, the parameters are dynamically adjusted through a preset optimization function, and iterated until the experimental modal parameters and simulation modal data converge. The target material information that can be mass-produced is then output, thereby suppressing vibration noise from the source and reducing R&D costs.

[0075] The experimental modal parameters in this embodiment include at least one of the natural frequency information and mode shape information.

[0076] The steps for obtaining the experimental modal parameters corresponding to several volute components in a range hood include:

[0077] Experimental modal analysis was used to obtain experimental natural frequency information and experimental mode shape information for several volute components in a range hood.

[0078] In one specific implementation, the modal parameters (natural frequencies, damping ratios, and mode shapes) of the structure are directly obtained through physical testing. Excitation and response are measured to construct a frequency response function (FRF), and then modes are extracted through parameter identification. Multiple measurements are averaged, and the FRF is defined as the frequency domain ratio of the response to the excitation. Extracting modal parameters from the FRF matrix (Frequency, damping, mode shape) The extraction method generally adopts the multi-reference point least squares method.

[0079] The FRF matrix contains all modal information. Each element of this matrix represents the frequency response function obtained by excitation at point j and measurement of the response at point k.

[0080] The specific steps for obtaining this information are as follows: In the experimental modes, the mode shapes are calculated using the residues.

[0081] Modal expansion of the frequency response function:

[0082]

[0083] .

[0084]

[0085] Rijk: Residue, a complex constant.

[0086] Relationship between residues and mode shapes:

[0087]

[0088] : The mode shape value (mode shape vector component) of the i-th order mode at point kk.

[0089] : The modal participation factor of the i-th mode at point jj.

[0090] Mode shape extraction steps:

[0091] Step 1: Obtain all poles ppi and residue matrix RiRi through parameter identification (e.g., PolyMAX).

[0092] Step 2: Perform singular value decomposition (SVD) on the residue matrix RiRi:

[0093] The first column of its dominant singular vector UU is the mode shape. .

[0094] The experimental natural frequency information and experimental mode shape information are obtained through the above methods.

[0095] In this embodiment, the steps for calculating the simulation modal parameters corresponding to any volute component include:

[0096] Based on the characteristic equation and the preset solution algorithm, the simulated natural frequency information and simulated vibration mode information of several volute components in the range hood are obtained.

[0097] In one specific implementation, the characteristic equation is:

[0098]

[0099] This characteristic equation is the dynamic equation describing the free vibration of the structure, where K is the stiffness matrix, M is the mass matrix, and... As eigenvalues, they determine the natural frequencies. The eigenvector represents the mode shape.

[0100] The eigenvalues ​​and eigenvectors are obtained by solving the above characteristic equations using the Lanczos method (an iterative algorithm for solving eigenvalue problems and linear equation systems of large sparse symmetric matrices (or Hermitian matrices)). Based on the eigenvalues ​​and eigenvectors, the simulated natural frequency information and simulated mode shape information corresponding to the first few modes can be calculated efficiently.

[0101] The preliminary steps for obtaining the characteristic equation include: 1. establishing the model; 2. assembling the matrix; 3. solving for the eigenvalues; and 4. extracting the modal results.

[0102] Model building includes geometric modeling, mesh generation, material properties, and boundary conditions. The specific requirements are as follows:

[0103] Geometric modeling: Creating 3D geometric models of structures.

[0104] Mesh generation: Discretizing geometry into finite elements (such as tetrahedrons and hexahedrons).

[0105] Material properties: Defining density ( ), elastic modulus (EE), Poisson's ratio (νν).

[0106] Boundary conditions: Add constraints (such as fixed supports, symmetry constraints), and boundary conditions directly affect the modal results.

[0107] The assembly matrix is ​​generated automatically using a mature program to obtain the stiffness matrix K and the mass matrix M.

[0108] Solving for eigenvalues ​​involves using methods such as the Lanczos method, sub-control iteration method, and QR algorithm (a classic iterative algorithm in numerical linear algebra for calculating all eigenvalues ​​of a matrix) to solve the characteristic equation and obtain eigenvalues ​​and eigenvectors.

[0109] Modal results extracted:

[0110] Simulated natural frequency information: (i=1, 2, 3...n)

[0111] Simulation mode shape information: (Usually normalized, such as normalized according to the mass matrix:) ).

[0112] Post-processing and verification

[0113] Visualized mode shapes: Animated displays show the deformation patterns of the structure at various frequencies;

[0114] Modal participation factor: Analyzes the contribution of each mode to the dynamic response;

[0115] Convergence verification: refine the mesh to ensure stable results;

[0116] Compare experimental / analytical solutions (such as classical theoretical solutions for beams and slabs).

[0117] The above methods can be used to obtain the simulated natural frequency information and simulated vibration mode information of several volute components in the range hood.

[0118] In this embodiment, error information of each order of any volute component is obtained based on experimental modal parameters and simulation modal parameters, including:

[0119] Obtain experimental and simulated natural frequency information of the volute components at any order;

[0120] The frequency error information of the volute components at any order is calculated based on the first preset formula.

[0121] The first preset formula is:

[0122] i = 1, 2, 3, ..., n

[0123] Where fi and ffi are the frequencies of a certain mode.

[0124] Obtain experimental and simulated vibration mode information for the volute components at any order;

[0125] The vibration mode error information of the volute components at any order is calculated based on the second preset formula.

[0126] The second preset formula is:

[0127] j=1, 2, 3, ..., m

[0128] in, , These are the vibration amplitudes under a certain mode. , They are The transpose of .

[0129] Based on the third preset formula, frequency error information, and mode shape error information, error information of each order of any volute component is obtained.

[0130] The third preset formula is:

[0131] ,in In addition, the values ​​are all between 0.1 and 1, and the values ​​for the motor bracket are between 2 and 5.

[0132] In this embodiment, the initial material information includes at least the initial thickness information and the initial Young's modulus information;

[0133] The initial material information of the volute components is optimized based on a preset optimization function until the preset optimization function meets a preset standard, and the target material information is output, including:

[0134] The preset optimization function is:

[0135]

[0136] The first thickness information and the first Young's modulus information of the volute components are obtained using a preset strategy;

[0137] In one specific approach, the preset strategy can be gradient method, genetic algorithm, etc.

[0138] Repeat the steps of obtaining the experimental modal parameters corresponding to each order under the first thickness information and the first Young's modulus information until the preset optimization function meets the preset standard.

[0139] Output target material information that conforms to preset standards and optimizes the function.

[0140] In one specific implementation, optimizing design parameters includes setting variables, setting constraints, and selecting an optimization algorithm.

[0141] Setting variables includes setting the thickness t of the volute components and the Young's modulus E of the material; constraints include setting upper limits on mass and geometric manufacturing restrictions; and optimization algorithms include choosing a gradient method suitable for continuous variables or a genetic algorithm suitable for discrete materials. By iteratively adjusting t and E, the risky mode frequencies are accurately shifted to the safe zone while ensuring that other mode shapes remain unchanged, thereby selecting material information that meets noise reduction standards.

[0142] In this embodiment, after the step of the preset optimization function meeting the preset standard, the noise reduction control method further includes:

[0143] Obtain modal contribution information of each order of the volute components at a preset frequency;

[0144] If the modal contribution information is greater than the first threshold, then the excitation acceleration information at the preset frequency is less than the second threshold.

[0145] Modal contribution is used to quantify the degree to which each mode contributes to the vibration / noise response at a specific frequency or location.

[0146] The cured and optimized material thickness or Young's modulus parameters can be ensured to maintain a consistent appearance with the final manufactured sample. Modal contribution analysis using the cured parameters reveals the contribution of the i-th mode at frequency f. Based on this contribution, it can be determined whether the structure meets the requirements. If the contribution is large, the future excitation acceleration at this frequency should not exceed 0.5 m / s². 2 If the contribution is small, it can be ignored.

[0147] The following examples illustrate the implementation principle of the noise reduction control method for range hoods disclosed in this paper:

[0148] The specific method is as follows:

[0149] The volute model components are simplified to: front cover, rear cover, ring wall, volute sleeve, motor bracket, and volute mounting bracket;

[0150] Each component is divided into a grid with a size of 2-3mm;

[0151] Calculate the modes and obtain the modal parameters: natural frequency f and mode shape l;

[0152] Obtain experimental modal parameters: natural frequency ff, mode shape ll;

[0153] The modal parameters of each order in the simulation and experiment are analyzed and compared, and the error rates rf and rl of each order of each component are calculated respectively.

[0154] The formula for calculating the error rate of a certain mode shape is as follows:

[0155] in, , These are the vibration amplitudes under a certain mode. , They are , The transpose of .

[0156] The formula for calculating the frequency error rate is as follows:

[0157]

[0158] Where fi and ffi are the frequencies of a certain mode.

[0159] Calculate the error rates of each component at each order: ,in The values ​​are all between 0.1 and 1, and the values ​​for the motor bracket are between 2 and 5.

[0160] Compare the differences between the error rates of each part at each order and the preset error rates;

[0161] If the error rate is less than the preset error rate, the simulation structure parameters meet the requirements.

[0162] If the error rate is greater than the preset error rate, identify the components and their corresponding modes, optimize the identified components and modes, and define the optimization objective function. The thickness and Young's modulus of the components are optimized to minimize the objective function.

[0163] The thickness or Young's modulus of the material after curing and optimization can be kept to a minimum without significant difference from the actual sample after processing and manufacturing.

[0164] Modal contribution analysis is performed using the solidified parameters. The contribution of the i-th mode at frequency f can be determined. The structure can be judged based on the contribution. If the contribution is large, the excitation acceleration at this frequency is unlikely to exceed 0.5 m / s2. If the contribution is small, it can be ignored.

[0165] The above-mentioned volute simulation analysis and optimization method can accurately identify structural risks, reduce the modal parameter error between the volute parts and the actual manufactured parts, and improve the matching degree with different excitations and back pressures, effectively reducing the risk of abnormal noise in situations such as users' homes.

[0166] Example 2

[0167] Corresponding to the aforementioned embodiments of the noise reduction control method for range hoods, this disclosure also provides embodiments of a noise reduction control system for range hoods.

[0168] like Figure 2 As shown, the noise reduction control system includes:

[0169] The experimental modal parameter acquisition module 100 is used to acquire the initial material information of several volute components in the range hood, as well as the experimental modal parameters corresponding to each order under the initial material information.

[0170] The simulation modal parameter calculation module 200 is used to obtain the simulation modal parameters corresponding to each order of any volute component;

[0171] The error acquisition module 300 is used to acquire error information of any volute component at each order based on experimental modal parameters and simulation modal parameters.

[0172] The processing module 400 is used to respond to the fact that the error information of the volute component is greater than the preset error information, to obtain the volute component corresponding to the error information and the corresponding order information; and to optimize the initial material information of the volute component based on the preset optimization function until the preset optimization function meets the preset standard.

[0173] The experimental modal parameters in this embodiment include at least one of the natural frequency information and mode shape information.

[0174] The experimental modal parameter acquisition module 100 is used to acquire the experimental natural frequency information and experimental mode shape information of several volute components in the range hood based on the experimental modal analysis method.

[0175] The simulation modal parameter calculation module 200 is used to obtain the simulation natural frequency information and simulation mode information of several volute components in the range hood based on the characteristic equation and the preset solution algorithm.

[0176] In this embodiment, the error acquisition module 300 is used for:

[0177] Obtain experimental and simulated natural frequency information of the volute components at any order;

[0178] The frequency error information of the volute components at any order is calculated based on the first preset formula.

[0179] Obtain experimental and simulated vibration mode information for the volute components at any order;

[0180] The vibration mode error information of the volute components at any order is calculated based on the second preset formula.

[0181] Based on the third preset formula, frequency error information, and mode shape error information, error information of each order of any volute component is obtained.

[0182] The initial material information in this embodiment includes at least initial thickness information and initial Young's modulus information;

[0183] Processing module 400 is also used for:

[0184] The first thickness information and the first Young's modulus information of the volute components are obtained using a preset strategy;

[0185] Repeat the steps of obtaining the experimental modal parameters corresponding to each order under the first thickness information and the first Young's modulus information until the preset optimization function meets the preset standard.

[0186] Output target material information that conforms to preset standards and optimizes the function.

[0187] The noise reduction control system in this embodiment also includes a contribution information acquisition module 500. The contribution information acquisition module 500 is used to acquire modal contribution information of the volute component at each order at a preset frequency after outputting the target material information.

[0188] If the modal contribution information is greater than the first threshold, then the excitation acceleration information at the preset frequency is less than the second threshold.

[0189] The noise reduction control system provided in this disclosure accurately identifies the volute components that cause noise problems by comparing experimental modal parameters and simulation modal parameters and measuring errors step by step. At the same time, when the error information obtained after analysis is greater than a preset threshold, the parameters are dynamically adjusted through a preset optimization function, and iteratively until the experimental modal parameters and simulation modal data converge. The system then outputs target material information that can be mass-produced, thereby suppressing vibration noise at the source and reducing R&D costs.

[0190] For the system embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to in the description of the method embodiments. The system embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this disclosure according to actual needs.

[0191] Example 3

[0192] This embodiment also provides a smart home appliance, which includes the noise reduction control system in embodiment 4.

[0193] The smart home appliances in this embodiment include, but are not limited to, range hoods.

[0194] In this embodiment, the smart home appliance can be controlled using a voice module, which is equipped with a controller, a voice receiving module, and a voice parsing module. The voice receiving module receives user commands, and the voice parsing module parses the commands. Based on the parsed commands, the controller controls the smart home appliance to perform corresponding operations, thereby realizing intelligent control of the smart home appliance and improving the user experience.

[0195] The smart home appliances in this embodiment can also adopt other smart interaction functions, such as gesture interaction and fingerprint recognition. The specific settings or adjustments can be made according to actual needs to further improve the intelligence level of smart home appliances and bring a better user experience.

[0196] In the smart home appliance provided in this embodiment, by comparing experimental modal parameters and simulation modal parameters, and measuring the error step by step, the volute component that causes noise problems is accurately identified. At the same time, when the error information obtained after analysis is greater than a preset threshold, the parameters are dynamically adjusted through a preset optimization function, and iterated until the experimental modal parameters and simulation modal data converge. The target material information that can be mass-produced is then output, thereby suppressing vibration noise from the source and reducing R&D costs.

[0197] Example 4

[0198] like Figure 3 As shown, Figure 3 This is a schematic diagram of the corresponding electronic device provided in Embodiment 4 of this disclosure. The electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the noise reduction control method provided in Embodiment 1 above. Figure 3 The electronic device 30 shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments disclosed herein.

[0199] like Figure 3 As shown, the electronic device 30 can be represented in the form of a general computing device, such as a server device. The components of the electronic device 30 may include, but are not limited to: at least one processor 31, at least one memory 32, and a bus 33 connecting different system components (including memory 32 and processor 31).

[0200] Bus 33 includes a data bus, an address bus, and a control bus.

[0201] The memory 32 may include volatile memory, such as random access memory (RAM) 321 and / or cache memory 322, and may further include read-only memory (ROM) 323.

[0202] The memory 32 may also include a program / utility 325 having a set (at least one) of program modules 324, including but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of these examples may include an implementation of a network environment.

[0203] The processor 31 performs various functional applications and data processing, such as the methods described in the above embodiments of this disclosure, by running computer programs stored in the memory 32.

[0204] Electronic device 30 can also communicate with one or more external devices 34 (e.g., keyboard, pointing device, etc.). This communication can be performed via input / output (I / O) interface 35. Furthermore, the model-generating device 30 can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) via network adapter 36. Figure 3 As shown, network adapter 36 communicates with other modules of the model-generated device 30 via bus 33. It should be understood that, although not shown in the figure, other hardware and / or software modules can be used in conjunction with the model-generated device 30, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk array) systems, tape drives, and data backup storage systems.

[0205] It should be noted that although several units / modules or sub-units / modules of the electronic device have been mentioned in the detailed description above, this division is merely exemplary and not mandatory. In fact, according to embodiments of this disclosure, the features and functions of two or more units / modules described above can be embodied in one unit / module. Conversely, the features and functions of one unit / module described above can be further divided and embodied by multiple units / modules.

[0206] Example 5

[0207] This disclosure also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the noise reduction control method provided in any of the above embodiments.

[0208] The readable storage medium may be more specifically adopted, including but not limited to: portable disk, hard disk, random access memory, read-only memory, erasable programmable read-only memory, optical storage device, magnetic storage device, or any suitable combination thereof.

[0209] Example 6

[0210] This disclosure also provides a computer program product, including a computer program that, when executed by a processor, implements the noise reduction control method described in any of the above embodiments.

[0211] The program code for executing the computer program product of this disclosure can be written in any combination of one or more programming languages, and the program code can be executed entirely on a user device, partially on a user device, as a stand-alone software package, partially on a user device and partially on a remote device, or entirely on a remote device.

[0212] While specific embodiments of this disclosure have been described above, those skilled in the art should understand that these are merely illustrative examples, and the scope of protection of this disclosure is defined by the appended claims. Those skilled in the art can make various changes or modifications to these embodiments without departing from the principles and essence of this disclosure, but all such changes and modifications fall within the scope of protection of this disclosure.

Claims

1. A noise reduction control method for a range hood, characterized in that, The noise reduction control method includes: Obtain initial material information of several volute components in the range hood, and experimental modal parameters corresponding to each order under the initial material information; Obtain the simulation modal parameters corresponding to each order of any of the aforementioned volute components; Based on the experimental modal parameters and the simulation modal parameters, error information of each order of any of the volute components is obtained; In response to the fact that the error information of the volute component is greater than the preset error information, the volute component corresponding to the error information and the corresponding order information are obtained; The initial material information of the volute components is optimized based on a preset optimization function until the preset optimization function meets a preset standard.

2. The noise reduction control method for a range hood according to claim 1, characterized in that, The experimental modal parameters include at least one of the natural frequency information and mode shape information; The steps for obtaining the experimental modal parameters corresponding to several volute components in the range hood include: The experimental natural frequency information and experimental mode information of several volute components in the range hood were obtained based on the experimental modal analysis method. And / or, The step of obtaining the simulation modal parameters corresponding to any of the volute components includes: Based on the characteristic equation and the preset solution algorithm, the simulated natural frequency information and simulated vibration mode information of several volute components in the range hood are obtained.

3. The noise reduction control method for a range hood according to claim 2, characterized in that, The process of obtaining error information of each order for any of the volute components based on the experimental modal parameters and the simulation modal parameters includes: Obtain the experimental natural frequency information and the simulated natural frequency information of the volute component at any order; The frequency error information of the volute component at any order is calculated based on the first preset formula. Obtain the experimental vibration mode information and the simulated vibration mode information of the volute component at any order; The vibration mode error information of the volute component at any order is calculated based on the second preset formula. Based on the third preset formula, the frequency error information, and the mode shape error information, error information of each order of any of the volute components is obtained.

4. The noise reduction control method for a range hood according to claim 1, characterized in that, The initial material information includes at least initial thickness information and initial Young's modulus information; The optimization of the initial material information of the volute component based on a preset optimization function until the preset optimization function meets a preset standard, and the output of target material information, includes: The first thickness information and the first Young's modulus information of the volute component are obtained using a preset strategy; The steps of obtaining the experimental modal parameters corresponding to each order under the first thickness information and the first Young's modulus information are repeated until the preset optimization function meets the preset standard. The target material information that conforms to the preset standard is output by the preset optimization function.

5. The noise reduction control method for a range hood according to claim 1, characterized in that, After the step where the preset optimization function meets the preset standard, the noise reduction control method further includes: Obtain the modal contribution information of the volute component at each order at a preset frequency; If the modal contribution information is greater than a first threshold, then the excitation acceleration information at the preset frequency is less than a second threshold.

6. A noise reduction control system for a range hood, characterized in that, The noise reduction control system includes: The experimental modal parameter acquisition module is used to acquire the initial material information of several volute components in the range hood, as well as the experimental modal parameters corresponding to each order under the initial material information. The simulation modal parameter calculation module calculates the simulation modal parameters corresponding to each order of any of the aforementioned volute components; The error acquisition module is used to acquire error information of each order of any of the volute components based on the experimental modal parameters and the simulation modal parameters. The processing module is configured to, in response to the fact that the error information of the volute component is greater than a preset error information, acquire the volute component corresponding to the error information and the corresponding order information; and optimize the initial material information of the volute component based on a preset optimization function until the preset optimization function meets a preset standard.

7. A smart home appliance, characterized in that, The smart home appliance includes the noise reduction control system of the range hood as described in claim 6.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and for running on the processor, characterized in that, When the processor executes the computer program, it implements the noise reduction control method for the range hood according to any one of claims 1 to 5.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the noise reduction control method for the range hood as described in any one of claims 1 to 5.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the noise reduction control method for the range hood as described in any one of claims 1 to 5.

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