Dish washing machine, vibration noise control method, system and equipment thereof and medium
By installing vibration sensors and prediction models inside the dishwasher, and dynamically adjusting the water pump power and the number of spray arms working, the vibration and noise problems caused by water flow impact under non-full load conditions are solved, achieving vibration and noise control and improving water efficiency.
Patent Information
- Application Number
- CN202510848456.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-24
- Publication Date
- 2025-09-16
AI Technical Summary
When the existing dishwasher is not fully loaded, the water sprayed from the spray arm directly impacts the inner tank and the door, causing vibration and noise, wasting water resources, and reducing user experience and water efficiency.
By installing a vibration sensor in the inner tank of the dishwasher, the vibration signal is obtained and the target vibration feature data is extracted. The pre-trained operating parameter prediction model is used to dynamically adjust the water pump power and the number of spray arm operations to control vibration noise.
It effectively reduces the vibration noise of the dishwasher, saves water resources, improves water efficiency, and ensures the cleaning effect.
Smart Images
Figure CN120643162A_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to the technical field of dishwashers, and in particular to a dishwasher and a vibration noise control method, system, device, and medium thereof. Background Art
[0002] During the research and development stage, vibration and noise control and experiments on dishwashers are carried out in a fully loaded state, that is, tableware is placed according to the designed number of sets. However, this is inconsistent with the experimental state in actual home application scenarios. Due to different user habits, the tableware is placed more casually, and the number of sets washed each time is different. There is a big difference between the placement of tableware at home and in the experiment. Most users do not wash dishes to a full load, and there are also big differences in the placement of tableware among users. If there are fewer dishes, the water sprayed from the spray arm of the dishwasher will directly impact the inner tank and the door, causing relatively large vibration and noise, resulting in a poor customer experience, and wasting water resources, reducing the water efficiency of the dishwasher. Summary of the Invention
[0003] The technical problem to be solved by the present disclosure is to overcome the defects in the prior art that the water flow sprayed from the spray arm of the dishwasher directly impacts the inner tank and the door body, causing relatively large vibration and noise, resulting in a poor customer experience, wasting water resources, and reducing the water efficiency of the dishwasher. A dishwasher and its vibration and noise control method, system, equipment and medium are provided.
[0004] The present disclosure solves the above technical problems through the following technical solutions:
[0005] In a first aspect, a method for controlling vibration noise of a dishwasher is provided, wherein the dishwasher includes a water pump and a spray arm, and an inner tank of the dishwasher is provided with a vibration sensor for detecting vibration noise of the inner tank, the vibration noise control method comprising:
[0006] Acquiring a vibration signal collected by the vibration sensor;
[0007] acquiring target vibration characteristic data based on the vibration signal;
[0008] Wherein, the target vibration characteristic data includes at least one of main frequency energy data, harmonic energy data and vibration direction energy data corresponding to the vibration signal;
[0009] When the target vibration characteristic data is greater than a preset vibration data threshold, the target vibration characteristic data is input into a pre-trained operating parameter prediction model, and the predicted water pump operating power value corresponding to the target vibration characteristic data is output to achieve vibration noise control of the dishwasher.
[0010] Optionally, the predicted water pump operating power value is greater than or equal to a preset power threshold;
[0011] The preset power threshold is less than the rated power value of the water pump.
[0012] Optionally, the vibration noise control method further includes:
[0013] When the predicted water pump operating power value is equal to the preset power threshold and the target vibration characteristic data is greater than the preset vibration data threshold, the target vibration characteristic data is input into the operating parameter prediction model, and the predicted spray arm working quantity value corresponding to the target vibration characteristic data is output to achieve vibration noise control of the dishwasher.
[0014] Optionally, the step of acquiring target vibration characteristic data based on the vibration signal includes:
[0015] Performing spectrum analysis on the vibration signal to obtain initial vibration characteristic data;
[0016] Normalizing the initial vibration characteristic data to obtain the target vibration characteristic data;
[0017] And / or, the main frequency energy data is the effective value of the main frequency energy;
[0018] And / or, the harmonic energy data is the effective value of harmonic energy;
[0019] And / or, the vibration direction energy data is the total energy effective value of the three vibration directions;
[0020] And / or, the frequency acquisition range of the vibration sensor is 20 Hz-4096 Hz;
[0021] And / or, the vibration sensor is arranged at a middle position of the outer surface of the inner container.
[0022] Optionally, the operating parameter prediction model is obtained based on BP neural network (Back Propagation Neural Network, multi-layer feedforward neural network) model training;
[0023] The training sample data of the operation parameter prediction model includes several groups of sample vibration characteristic data and the sample water pump operation power value corresponding to each group of sample vibration characteristic data;
[0024] Alternatively, the training sample data of the operation parameter prediction model includes several groups of sample vibration characteristic data and sample water pump operation power values and sample spray arm working quantity values corresponding to each group of sample vibration characteristic data.
[0025] Optionally, the operating parameter prediction model includes an input layer, a hidden layer, and an output layer connected in sequence;
[0026] The input layer is used to receive the training sample data and output it to the hidden layer;
[0027] The hidden layer is used to process the training sample data based on a self-learning algorithm to obtain a predicted water pump operating power value corresponding to each set of sample vibration characteristic data, and output the predicted water pump operating power value to the output layer;
[0028] The output layer is used to output the predicted water pump operating power value;
[0029] Alternatively, the hidden layer is used to process the training sample data based on a self-learning algorithm to obtain a predicted water pump operating power value and a predicted number of spray arm working values corresponding to each set of sample vibration characteristic data, and output the predicted water pump operating power value and the predicted number of spray arm working values to the output layer;
[0030] The output layer is used to output the predicted water pump operating power value and the predicted spray arm working quantity value.
[0031] In a second aspect, a vibration noise control system for a dishwasher is provided, wherein the dishwasher includes a water pump and a spray arm, and an inner tank of the dishwasher is provided with a vibration sensor for detecting vibration noise of the inner tank, and the vibration noise control system includes:
[0032] A vibration signal acquisition module, used to acquire the vibration signal collected by the vibration sensor;
[0033] a characteristic data acquisition module, configured to acquire target vibration characteristic data based on the vibration signal;
[0034] Wherein, the target vibration characteristic data includes at least one of main frequency energy data, harmonic energy data and vibration direction energy data corresponding to the vibration signal;
[0035] A prediction module is used to input the target vibration characteristic data into a pre-trained operating parameter prediction model when the target vibration characteristic data is greater than a preset vibration data threshold, and output a predicted water pump operating power value corresponding to the target vibration characteristic data to achieve vibration noise control of the dishwasher.
[0036] In a third aspect, a dishwasher is provided, comprising a water pump and a spray arm, wherein an inner tank of the dishwasher is provided with a vibration sensor for detecting vibration noise of the inner tank;
[0037] The dishwasher further includes a memory, a processor, and a computer program stored in the memory and configured to run on the processor. When the processor executes the computer program, the vibration noise control method for the dishwasher described above is implemented.
[0038] In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the vibration noise control method of the dishwasher described above is implemented.
[0039] In a fifth aspect, a computer program product is provided, comprising a computer program, wherein when the computer program is executed by a processor, the vibration noise control method for the dishwasher described above is implemented.
[0040] On the basis of conforming to the common sense in this field, the above-mentioned preferred conditions can be arbitrarily combined to obtain the preferred embodiments of the present disclosure.
[0041] The positive progress of this disclosure is:
[0042] The dishwasher disclosed herein and its vibration noise control method, system, device, and medium use the vibration signal of the dishwasher's inner tank as a reference and, in combination with a pre-trained operating parameter prediction model, dynamically adjust the water pump power and the number of spray arm operations, effectively reducing the vibration noise of the entire dishwasher while saving water and improving water efficiency. BRIEF DESCRIPTION OF THE DRAWINGS
[0043] Figure 1 A first flow chart of the method for controlling vibration noise of a dishwasher provided in Embodiment 1 of the present disclosure;
[0044] Figure 2 A second flow chart of the method for controlling vibration noise of a dishwasher provided in Embodiment 1 of the present disclosure;
[0045] Figure 3 A third flow chart of the method for controlling vibration noise of a dishwasher provided in Example 1 of the present disclosure;
[0046] Figure 4 A schematic diagram of the placement of a vibration sensor in the vibration noise control method for a dishwasher provided in Example 1 of the present disclosure;
[0047] Figure 5 This is a schematic diagram of the structure of the operating parameter prediction model in the vibration noise control method for a dishwasher provided in Example 1 of the present disclosure;
[0048] Figure 6 This is a schematic structural diagram of the vibration noise control system of the dishwasher provided in Example 2 of the present disclosure. DETAILED DESCRIPTION
[0049] The present disclosure is further illustrated below by way of examples, but the present disclosure is not limited to the scope of the examples.
[0050] In the embodiments of the present disclosure, prefixes such as "first" and "second" are used only to distinguish different description objects, and have no limiting effect on the position, order, priority, quantity or content of the described objects. In the embodiments of the present disclosure, the use of prefixes such as ordinal numbers to distinguish description objects does not constitute a limitation on the described objects. For the statement of the described objects, please refer to the description in the context of the claims or embodiments, and no unnecessary limitations should be constituted due to the use of such prefixes. In addition, in the description of this embodiment, unless otherwise specified, the meaning of "plurality" is two or more.
[0051] Example 1
[0052] This embodiment provides a method for controlling vibration noise of a dishwasher. The dishwasher includes a water pump and a spray arm. The inner tank of the dishwasher is provided with a vibration sensor for detecting the vibration noise of the inner tank. Figure 1 As shown, the vibration noise control method includes:
[0053] S1. Obtain a vibration signal collected by a vibration sensor.
[0054] S2. Acquire target vibration characteristic data based on the vibration signal.
[0055] S3. When the target vibration characteristic data is greater than the preset vibration data threshold, the target vibration characteristic data is input into a pre-trained operating parameter prediction model, and the predicted water pump operating power value corresponding to the target vibration characteristic data is output to achieve vibration noise control of the dishwasher.
[0056] The target vibration characteristic data includes at least one of main frequency energy data, harmonic energy data and vibration direction energy data corresponding to the vibration signal.
[0057] The initial setting condition of existing dishwashers is that the operating power of the water pump remains unchanged regardless of the number of dishes. Therefore, there is a problem that the water flow will directly impact the inner pot and the door, causing relatively large vibration and noise, and wasting water resources, reducing the water efficiency of the dishwasher.
[0058] The vibration noise control method of the dishwasher of this embodiment can infer the situation where the water jet directly impacts the inner pot but does not impact the tableware by monitoring the vibration signal of the inner pot in real time. The operating power of the water pump is dynamically adjusted based on the vibration signal, which can effectively reduce the vibration noise of the entire machine, while also saving water and improving water efficiency.
[0059] In an optional embodiment, the predicted water pump operating power value is greater than or equal to a preset power threshold;
[0060] The preset power threshold is less than the rated power of the pump.
[0061] Generally speaking, the high vibration and noise of a dishwasher is caused by the small number of dishes. Reducing the water pump operating power (speed) does not affect the cleaning effect. To ensure the cleaning effect of the dishwasher, the predicted water pump operating power value should be greater than or equal to the preset power threshold. The preset power threshold is less than the rated power value of the water pump. This ensures that reducing the water pump operating power value does not affect the cleaning effect, ensuring the rinsing efficiency and achieving coordinated control of rinsing efficiency optimization and vibration and noise.
[0062] In an alternative embodiment, if Figure 2 As shown, the vibration noise control method also includes:
[0063] S4. When the predicted water pump operating power value is equal to the preset power threshold and the target vibration characteristic data is greater than the preset vibration data threshold, the target vibration characteristic data is input into the operating parameter prediction model, and the predicted spray arm working quantity value corresponding to the target vibration characteristic data is output to achieve vibration noise control of the dishwasher.
[0064] In order to ensure the rinsing efficiency of the dishwasher, the predicted water pump operating power value cannot be less than the preset power threshold. However, when the predicted water pump operating power value is equal to the preset power threshold and the target vibration characteristic data is greater than the preset vibration data threshold, simply adjusting the water pump operating power can no longer effectively control the noise. At this time, the target vibration characteristic data should be input into the operating parameter prediction model, and the predicted spray arm working quantity value corresponding to the target vibration characteristic data should be output. The target spray arm working quantity should be controlled by adjusting the spray arm working quantity based on the water pump power adjustment. While ensuring the rinsing efficiency, the optimization of the rinsing efficiency and the coordinated control of vibration noise can be achieved.
[0065] For example, the preset power threshold is 80% of the rated power value of the water pump.
[0066] When the preset power threshold is 80% of the pump's rated power, flushing efficiency can be effectively guaranteed. The preset power threshold can be flexibly set according to actual needs.
[0067] In an alternative embodiment, if Figure 3 As shown, the above step S2 includes:
[0068] S21. Perform spectrum analysis on the vibration signal to obtain initial vibration characteristic data.
[0069] S22. Normalize the initial vibration characteristic data to obtain target vibration characteristic data.
[0070] The vibration signal is subjected to time-frequency conversion and spectrum analysis to obtain initial vibration characteristic data, and the initial vibration characteristic data is normalized to obtain target vibration characteristic data.
[0071] In an optional implementation, the main frequency energy data is the effective value of the main frequency energy; the harmonic energy data is the effective value of the harmonic energy; and the vibration direction energy data is the effective value of the total energy in three vibration directions (X, Y, and Z directions).
[0072] The time domain signal is converted into a frequency domain signal using the Fast Fourier Transform (FFT) to obtain the amplitude distribution of the vibration signal at different frequencies. The calculation formula of the Fast Fourier Transform (FFT) is:
[0073]
[0074] Where x(n) is the time domain signal, X(f) is the frequency domain signal, and N is the number of sampling points.
[0075] The effective energy value (energy spectrum) is the square of the spectrum frequency amplitude, which represents the energy distribution of the signal at each frequency. The calculation formula is: .
[0076] The rotation frequency of the dishwasher motor is taken as the main frequency (fundamental frequency), and the integer multiple frequencies of the fundamental frequency are the harmonic frequencies; the effective value of the main frequency energy is the energy spectrum value at the main frequency, and the effective value of the harmonic energy is the energy spectrum value at the harmonic frequency.
[0077] The vibration energy data is the vibration energy data in the three orthogonal directions of the X-axis (front and back), Y-axis (left and right), and Z-axis (up and down). For the frequency component x(t) of the vibration signal, the formula for calculating its effective value of energy in the X-axis direction is: , where T is the number of frequency components in the frequency band. The total effective value in three directions .
[0078] In an optional implementation, the frequency acquisition range of the vibration sensor is 20 Hz-4096 Hz.
[0079] The vibration sensor with a frequency acquisition range of 20Hz-4096Hz is a highly sensitive sensor that can quickly and timely collect vibration noise.
[0080] In an optional embodiment, the vibration sensor is arranged in the middle position of the outer surface of the inner container.
[0081] The vibration intensity at the middle position of the inner container surface is the weakest, so the vibration sensor needs to be set at the middle position of the outer surface of the inner container.
[0082] The outer surface of the inner tank can be divided into upper surface, lower surface, left surface, right surface, front surface and rear surface. The setting position and number of vibration sensors can be flexibly selected according to needs. Figure 4As shown, a vibration sensor can be set at the middle position of the upper surface, left surface, right surface and rear surface to collect vibration signals. The left and right are distinguished by the perspective facing the dishwasher door. Vibration noise control can be performed when the target vibration characteristic data corresponding to the vibration signal collected by any vibration sensor is greater than the preset vibration data threshold.
[0083] In an optional embodiment, the operating parameter prediction model is obtained based on BP neural network model training;
[0084] The training sample data of the operation parameter prediction model includes several groups of sample vibration characteristic data, and sample water pump operation power values and sample spray arm working quantity values corresponding to each group of sample vibration characteristic data.
[0085] Alternatively, the training sample data of the operation parameter prediction model includes several groups of sample vibration characteristic data and sample water pump operation power values and sample spray arm working quantity values corresponding to each group of sample vibration characteristic data.
[0086] The BP neural network is trained through the error back propagation algorithm and is one of the most classic and widely used artificial neural network models. It has powerful nonlinear mapping capabilities, good self-learning and adaptive capabilities, and strong generalization capabilities.
[0087] Therefore, the BP neural network is trained using training sample data. During the training process, the Pearson correlation coefficient is used to analyze the correlation between the vibration characteristic data of the noise and the water jet impact (pump power), retaining the highly correlated features. Through linear discriminant analysis, the feature dimension is reduced and more than 95% of the variance is retained, thereby establishing an operating parameter prediction model.
[0088] In an optional embodiment, the operating parameter prediction model includes an input layer, a hidden layer, and an output layer connected in sequence;
[0089] The input layer is used to receive training sample data and output it to the hidden layer;
[0090] The hidden layer is used to process the training sample data based on the self-learning algorithm to obtain the predicted water pump operating power value corresponding to each set of sample vibration characteristic data, and output the predicted water pump operating power value to the output layer;
[0091] The output layer is used to output the predicted pump operating power value.
[0092] like Figure 5As shown in the figure, the operating parameter prediction model includes an input layer, a hidden layer, and an output layer connected in sequence. Several groups of sample vibration feature data are normalized and the processed data are used as the input layer. The final sample water pump operating power value is used as the threshold of the output layer. Iterative calculation is performed until the condition is met and the iteration ends to obtain a trained operating parameter prediction model.
[0093] In an optional embodiment, the operating parameter prediction model includes an input layer, a hidden layer, and an output layer connected in sequence;
[0094] The input layer is used to receive training sample data and output it to the hidden layer;
[0095] The hidden layer is used to process the training sample data based on the self-learning algorithm to obtain the predicted water pump operating power value and the predicted number of spray arm working values corresponding to each set of sample vibration characteristic data, and output the predicted water pump operating power value and the predicted number of spray arm working values to the output layer;
[0096] The output layer is used to output the predicted water pump operating power value and the predicted number of spray arm working values.
[0097] Several groups of sample vibration feature data are normalized and used as the input layer. The final sample water pump operating power value and the sample spray arm working number value are used as the threshold of the output layer. Iterative calculation is performed until the conditions are met and the iteration ends to obtain a trained operating parameter prediction model.
[0098] Example 2
[0099] The present disclosure provides a vibration noise control system for a dishwasher, wherein the dishwasher comprises a water pump and a spray arm, and an inner tank of the dishwasher is provided with a vibration sensor for detecting the vibration noise of the inner tank. Figure 6 As shown, the vibration noise control system includes:
[0100] Vibration signal acquisition module 1, used to obtain the vibration signal collected by the vibration sensor;
[0101] Characteristic data acquisition module 2, used to acquire target vibration characteristic data based on the vibration signal;
[0102] The target vibration characteristic data includes at least one of main frequency energy data, harmonic energy data and vibration direction energy data corresponding to the vibration signal;
[0103] Prediction module 3 is used to input the target vibration characteristic data into a pre-trained operating parameter prediction model when the target vibration characteristic data is greater than a preset vibration data threshold, and output the predicted water pump operating power value corresponding to the target vibration characteristic data to achieve vibration noise control of the dishwasher.
[0104] In an optional embodiment, the predicted water pump operating power value is greater than or equal to a preset power threshold;
[0105] The preset power threshold is less than the rated power of the pump.
[0106] In an optional embodiment, the prediction module 3 is also used to input the target vibration characteristic data into the operating parameter prediction model when the predicted water pump operating power value is equal to the preset power threshold and the target vibration characteristic data is greater than the preset vibration data threshold, and output the predicted spray arm working quantity value corresponding to the target vibration characteristic data to achieve vibration noise control of the dishwasher.
[0107] In an optional embodiment, the feature data acquisition module 2 includes:
[0108] The spectrum analysis unit 21 is used to perform spectrum analysis on the vibration signal to obtain initial vibration characteristic data;
[0109] The characteristic data acquisition unit 22 is configured to perform normalization processing on the initial vibration characteristic data to obtain target vibration characteristic data.
[0110] In an optional implementation, the main frequency energy data is the effective value of the main frequency energy; the harmonic energy data is the effective value of the harmonic energy; and the vibration direction energy data is the effective value of the total energy in the three vibration directions.
[0111] In an optional implementation, the frequency acquisition range of the vibration sensor is 20 Hz-4096 Hz.
[0112] In an optional embodiment, the vibration sensor is arranged in the middle position of the outer surface of the inner container
[0113] In an optional embodiment, the operating parameter prediction model is obtained based on BP neural network model training;
[0114] The training sample data of the operation parameter prediction model includes several groups of sample vibration characteristic data and the sample water pump operation power value corresponding to each group of sample vibration characteristic data;
[0115] Alternatively, the training sample data of the operation parameter prediction model includes several groups of sample vibration characteristic data and sample water pump operation power values and sample spray arm working quantity values corresponding to each group of sample vibration characteristic data.
[0116] In an optional embodiment, the operating parameter prediction model includes an input layer, a hidden layer, and an output layer connected in sequence;
[0117] The input layer is used to receive training sample data and output it to the hidden layer;
[0118] The hidden layer is used to process the training sample data based on the self-learning algorithm to obtain the predicted water pump operating power value corresponding to each set of sample vibration characteristic data, and output the predicted water pump operating power value to the output layer;
[0119] The output layer is used to output the predicted water pump operating power value;
[0120] In an optional embodiment, the operating parameter prediction model includes an input layer, a hidden layer, and an output layer connected in sequence;
[0121] The input layer is used to receive training sample data and output it to the hidden layer;
[0122] The hidden layer is used to process the training sample data based on the self-learning algorithm to obtain the predicted water pump operating power value and the predicted number of spray arm working values corresponding to each set of sample vibration characteristic data, and output the predicted water pump operating power value and the predicted number of spray arm working values to the output layer;
[0123] The output layer is used to output the predicted water pump operating power value and the predicted number of spray arm working values.
[0124] The vibration and noise control system of the dishwasher of this embodiment uses the vibration signal of the dishwasher's inner tank as a reference and combines it with a pre-trained operating parameter prediction model to dynamically adjust the power of the water pump and the number of spray arms working. This can effectively reduce the vibration and noise of the entire dishwasher while saving water and improving water efficiency.
[0125] As for the system embodiment, since it basically corresponds to the method embodiment, the relevant parts can be referred to the partial description of the method embodiment, which will not be repeated here.
[0126] The system embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components of the units may or may not be physical units, i.e., they may be located in one place or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the disclosed solution.
[0127] Example 3
[0128] This embodiment provides a dishwasher, which includes a water pump and a spray arm, and an inner tank of the dishwasher is provided with a vibration sensor for detecting vibration noise of the inner tank;
[0129] The dishwasher further includes a memory, a processor, and a computer program stored in the memory and configured to run on the processor. When the processor executes the computer program, the vibration noise control method for the dishwasher is implemented.
[0130] The dishwasher may further include other components, such as buttons, a housing, a display screen, etc. The present disclosure does not limit the specific structure of the dishwasher.
[0131] Example 4
[0132] The embodiments of the present disclosure further provide a computer-readable storage medium having a computer program stored thereon. When the program is executed by a processor, the vibration noise control method for the dishwasher provided in the above embodiments is implemented.
[0133] The readable storage medium may include, but is not limited to, a portable disk, a hard disk, a random access memory, a read-only memory, an erasable programmable read-only memory, an optical storage device, a magnetic storage device, or any suitable combination thereof.
[0134] Example 5
[0135] The embodiments of the present disclosure further provide a computer program product, including a computer program. When the computer program is executed by a processor, the vibration noise control method for the dishwasher provided in the above embodiments is implemented.
[0136] The program code for executing the computer program product of the present disclosure may be written in any combination of one or more programming languages, and the program code may be executed entirely on the user device, partially on the user device, as a standalone software package, partially on the user device and partially on a remote device, or entirely on the remote device.
[0137] While specific embodiments of the present disclosure have been described above, those skilled in the art will appreciate that these are merely illustrative and that the scope of protection of the present disclosure is defined by the appended claims. Those skilled in the art may make various changes or modifications to these embodiments without departing from the principles and essence of the present disclosure, and such changes and modifications are intended to fall within the scope of protection of the present disclosure.
Claims
1. A method for controlling vibration noise of a dishwasher, characterized in that: The dishwasher includes a water pump and a spray arm, and the inner tank of the dishwasher is provided with a vibration sensor for detecting vibration noise of the inner tank. The vibration noise control method includes: Acquiring a vibration signal collected by the vibration sensor; acquiring target vibration characteristic data based on the vibration signal; Wherein, the target vibration characteristic data includes at least one of main frequency energy data, harmonic energy data and vibration direction energy data corresponding to the vibration signal; When the target vibration characteristic data is greater than a preset vibration data threshold, the target vibration characteristic data is input into a pre-trained operating parameter prediction model, and the predicted water pump operating power value corresponding to the target vibration characteristic data is output to achieve vibration noise control of the dishwasher.
2. The vibration noise control method according to claim 1, characterized in that: The predicted water pump operating power value is greater than or equal to a preset power threshold; The preset power threshold is less than the rated power value of the water pump.
3. The vibration noise control method according to claim 2, characterized in that: The vibration noise control method further comprises: When the predicted water pump operating power value is equal to the preset power threshold and the target vibration characteristic data is greater than the preset vibration data threshold, the target vibration characteristic data is input into the operating parameter prediction model, and the predicted spray arm working quantity value corresponding to the target vibration characteristic data is output to achieve vibration noise control of the dishwasher.
4. The vibration noise control method according to claim 1, characterized in that: The step of acquiring target vibration characteristic data based on the vibration signal comprises: Performing spectrum analysis on the vibration signal to obtain initial vibration characteristic data; Normalizing the initial vibration characteristic data to obtain the target vibration characteristic data; And / or, the main frequency energy data is the effective value of the main frequency energy; And / or, the harmonic energy data is the effective value of harmonic energy; And / or, the vibration direction energy data is the total energy effective value of the three vibration directions; And / or, the frequency acquisition range of the vibration sensor is 20 Hz-4096 Hz; And / or, the vibration sensor is arranged at a middle position of the outer surface of the inner container.
5. The vibration noise control method according to claim 3, characterized in that: The operating parameter prediction model is obtained based on BP neural network model training; The training sample data of the operation parameter prediction model includes several groups of sample vibration characteristic data and the sample water pump operation power value corresponding to each group of sample vibration characteristic data; Alternatively, the training sample data of the operation parameter prediction model includes several groups of sample vibration characteristic data and sample water pump operation power values and sample spray arm working quantity values corresponding to each group of sample vibration characteristic data.
6. The vibration noise control method according to claim 5, characterized in that: The operating parameter prediction model includes an input layer, a hidden layer and an output layer connected in sequence; The input layer is used to receive the training sample data and output it to the hidden layer; The hidden layer is used to process the training sample data based on a self-learning algorithm to obtain a predicted water pump operating power value corresponding to each set of sample vibration characteristic data, and output the predicted water pump operating power value to the output layer; The output layer is used to output the predicted water pump operating power value; Alternatively, the hidden layer is used to process the training sample data based on a self-learning algorithm to obtain a predicted water pump operating power value and a predicted number of spray arm working values corresponding to each set of sample vibration characteristic data, and output the predicted water pump operating power value and the predicted number of spray arm working values to the output layer; The output layer is used to output the predicted water pump operating power value and the predicted spray arm working quantity value.
7. A vibration noise control system for a dishwasher, characterized in that: The dishwasher includes a water pump and a spray arm, and the inner tank of the dishwasher is provided with a vibration sensor for detecting vibration noise of the inner tank. The vibration noise control system includes: A vibration signal acquisition module, used to acquire the vibration signal collected by the vibration sensor; a characteristic data acquisition module, configured to acquire target vibration characteristic data based on the vibration signal; Wherein, the target vibration characteristic data includes at least one of main frequency energy data, harmonic energy data and vibration direction energy data corresponding to the vibration signal; A prediction module is used to input the target vibration characteristic data into a pre-trained operating parameter prediction model when the target vibration characteristic data is greater than a preset vibration data threshold, and output a predicted water pump operating power value corresponding to the target vibration characteristic data to achieve vibration noise control of the dishwasher.
8. A dishwasher, characterized in that: The dishwasher comprises a water pump and a spray arm, and the inner tank of the dishwasher is provided with a vibration sensor for detecting vibration noise of the inner tank; The dishwasher further includes a memory, a processor, and a computer program stored in the memory and configured to run on the processor. When the processor executes the computer program, the vibration noise control method for the dishwasher according to any one of claims 1 to 6 is implemented.
9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the vibration noise control method for the dishwasher according to any one of claims 1 to 6 is implemented.
10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the vibration noise control method for the dishwasher according to any one of claims 1 to 6 is implemented.