Fan noise control method, device and system and air conditioner

Abstract

The invention discloses a fan noise control method, device and system and an air conditioner, and belongs to the field of fan noise control. The draught fan noise control method comprises the steps that when it is determined that the noise of a draught fan is unqualified, the noise peak frequency of the noise is obtained; determining the noise type of the noise based on the noise peak frequency; and the fan blade angle is adjusted based on the noise type. According to the scheme, when the fan noise is unqualified, different types of noise can be determined based on the noise peak frequency, and then the fan blade angle is adjusted by adopting different adjusting modes according to the different types of noise, so that when the noise is unqualified, the fan blade angle can be adjusted in a targeted manner based on the different types of noise, adjustment can be performed in time, and the fan blade angle adjusting efficiency is improved. And a sound wave generator is not needed, the cost is low, the method can be suitable for various use scenes, and the use experience of a user is not affected.

Description

Technical Field

[0001] This application relates to the field of fan noise control technology, and in particular, to a fan noise control method, device, system and air conditioner. Background Technology

[0002] As people increasingly prioritize comfort, air conditioning has become an indispensable part of daily life. The fan, as a crucial component of air conditioning systems, plays a vital role in their overall performance. During operation, fans are prone to generating noise due to various factors, including rotational noise (pressure fluctuations caused by blades compressing air), vortex noise (irregular airflow), and resonance noise (resonance between pipes and equipment). Sustained high noise levels can lead to increased equipment vibration, accelerated bearing wear, and even mechanical failure. Furthermore, long-term exposure to high-noise environments can cause hearing damage, nervous system stress, and cardiovascular problems. Parallel operation of generating units generates reverberant noise, affecting the operation of surrounding equipment and the lives of users. Existing solutions for reducing fan noise generally employ the following methods: 1. Reduce the fan speed.

[0003] CN118687222A discloses a control method for an air conditioner, an air conditioner, and a storage medium. The method includes: when the air conditioner is in heating mode and meets the start-up conditions for defrosting mode, controlling the indoor fan of the air conditioner to reduce its speed and controlling the outdoor unit of the air conditioner to maintain its current operating parameters; when the air conditioner reaches a first preset condition, controlling the outdoor unit to operate at the target parameters corresponding to the defrosting mode; wherein, in the defrosting mode, the indoor heat exchanger of the air conditioner is in a condensation state. This invention aims to reduce the operating noise of the air conditioner during defrosting startup while improving the defrosting effect.

[0004] However, in other situations, reducing the rotation speed will inevitably lead to a decrease in airflow, which in turn will affect the user experience.

[0005] 2. Sending sound waves to cancel noise For example, CN118998847A provides an outdoor unit and an air conditioner. The outdoor unit includes a separate heat exchanger and a compressor unit. The compressor unit includes: a noise acquisition component for acquiring noise in a target area; a noise output component; and a control component. Both the noise acquisition component and the noise output component are communicatively connected to the control component. The noise acquisition component transmits an initial noise signal to the control component. The control component calculates and generates a secondary noise signal that is opposite to the initial noise signal based on the received initial noise signal. The noise output component receives the secondary noise signal and releases the secondary noise, so that the secondary noise is superimposed and canceled out with the noise in the target area.

[0006] However, this method requires a sound wave generator, which is costly.

[0007] 3. Use the same fan model for different operating environments.

[0008] This means designing a specific fan for each usage scenario to reduce overall noise in that scenario.

[0009] However, this method cannot be adapted to various use cases. Summary of the Invention

[0010] To overcome the shortcomings of the prior art, this application provides a fan noise control method, device, system and air conditioner to solve the problems of existing fan noise control schemes affecting user experience or being costly.

[0011] The technical solution adopted by this application to solve its technical problem is: Firstly, a method for controlling fan noise is provided, including: When it is determined that the noise of the fan is unqualified, the peak frequency of the noise is obtained; The noise type is determined based on the noise peak frequency; Adjust the fan blade angle based on the noise type.

[0012] As an optional implementation of this application, determining the noise type based on the noise peak frequency includes: The noise type is determined based on the value of the noise peak frequency and the correspondence between the noise peak frequency and the fan speed when the noise is substandard.

[0013] As an optional implementation of this application, determining the noise type based on the value of the noise peak frequency and the correspondence between the noise peak frequency and the fan speed when the noise is substandard includes: When the noise peak frequency is within a first preset range, and the noise peak frequency = preset constant * number of fan blades * fan speed / preset value, the noise type is determined to be aerodynamic noise.

[0014] As an optional implementation of this application, adjusting the fan blade angle based on the noise type includes: When the noise type is aerodynamic noise, adjust the fan blade angle within the first preset angle range until the noise level is acceptable.

[0015] As an optional implementation of this application, determining the noise type based on the value of the noise peak frequency and the correspondence between the noise peak frequency and the fan speed when the noise is substandard includes: When the noise peak frequency is within the second preset range, and the noise peak frequency = preset coefficient * fan speed * noise difference, the noise type is determined to be torque pulsation noise. Wherein, noise difference = total noise value - noise peak value.

[0016] As an optional implementation of this application, adjusting the fan blade angle based on the noise type includes: When the noise type is torque pulsation noise, adjust the fan blade angle within the second preset angle range until the noise is within acceptable limits.

[0017] As an optional implementation of this application, it also includes: The noise level of the fan during operation is collected; Obtain the total noise value and the peak noise value of the noise; The difference between the total noise value and the peak noise value is taken as the noise difference value; When the noise difference is greater than a preset noise difference, the noise level of the fan is determined to be acceptable; when the noise difference is less than or equal to the preset noise difference, the noise level of the fan is determined to be unacceptable.

[0018] Secondly, a fan noise control device is provided, comprising: The noise frequency acquisition module is used to acquire the peak frequency of the noise when it is determined that the noise of the fan is unqualified. A noise type determination module is used to determine the noise type based on the noise peak frequency; A blade angle adjustment module is used to adjust the blade angle based on the noise type.

[0019] Thirdly, a fan noise control system is provided, comprising: At least one processor and at least one memory; The memory stores the executable instructions of the processor; The processor is configured to perform the fan noise control method described in any of the preceding descriptions.

[0020] Fourthly, an air conditioner is provided that applies the fan noise control method described in any of the above claims.

[0021] Beneficial effects: This application provides a method, device, system, and air conditioner for controlling fan noise. The fan noise control method includes: when the fan noise is determined to be substandard, acquiring the peak frequency of the noise; determining the noise type based on the peak frequency; and adjusting the fan blade angle based on the noise type. This solution can determine different noise types based on the peak frequency when the fan noise is substandard, and then adjust the fan blade angle using different adjustment methods for different noise types. This allows for targeted adjustment of the fan blade angle based on different noise types when the noise is substandard, enabling timely adjustment without the need for a sound wave generator, resulting in low cost, applicability to various usage scenarios, and no impact on the user experience. Attached Figure Description

[0022] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0023] Figure 1 This is a flowchart of a fan noise control method provided in an embodiment of this application; Figure 2 This is a flowchart of a specific fan noise control method provided in an embodiment of this application; Figure 3 This is a schematic diagram of noise analysis results provided in an embodiment of this application; Figure 4 This is a schematic diagram of the structure of a noise control device for an air conditioner fan provided in an embodiment of this application; Figure 5 This is a flowchart of a noise control method for an air conditioner fan provided in an embodiment of this application; Figure 6 This is a schematic diagram of a fan noise control device provided in an embodiment of this application; Figure 7 This is a schematic diagram of a fan noise control system provided in an embodiment of this application. Detailed Implementation

[0024] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be described in detail below with reference to the accompanying drawings and embodiments. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. Based on the embodiments of this application, all other implementation methods obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0025] Reference Figure 1 This application provides a method for controlling fan noise, including: S11: When it is determined that the noise of the fan is unqualified, the peak frequency of the noise is obtained; In this method, the noise from the wind turbine is collected using devices such as microphones, and the peak frequency of the noise is then obtained based on the spectrum of the collected noise. This approach is a common technique in the field and will not be elaborated upon further in this application.

[0026] In one embodiment, whether the noise level is acceptable is determined directly based on the decibel level or the peak frequency of the noise. For example, if the noise level is greater than a preset decibel level or the peak frequency of the noise is greater than a preset peak frequency, the fan noise is deemed unacceptable.

[0027] However, in many cases, the noise collected is comprehensive and not solely caused by the fan. Therefore, judging solely by peak frequency or decibels cannot truly reflect the actual situation.

[0028] Therefore, as a preferred implementation of this application, this application embodiment determines whether the fan noise level is acceptable based on the noise difference. Specifically: Obtain the total noise value and the peak noise value; take the difference between the total noise value and the peak noise value as the noise difference value; when the noise difference value is greater than a preset noise difference value, determine that the noise of the fan is qualified; when the noise difference value is less than or equal to the preset noise difference value, determine that the noise of the fan is unqualified.

[0029] S12: Determine the noise type based on the noise peak frequency; Determining the noise type based on the noise peak frequency includes: The noise type is determined based on the value of the noise peak frequency and the correspondence between the noise peak frequency and the fan speed when the noise is substandard.

[0030] In one embodiment, determining the noise type based on the value of the noise peak frequency and the correspondence between the noise peak frequency and the fan speed when the noise is substandard includes: When the noise peak frequency is within a first preset range, and the noise peak frequency = preset constant * number of fan blades * fan speed / preset value, the noise type is determined to be aerodynamic noise.

[0031] In another embodiment, determining the noise type based on the value of the noise peak frequency and the correspondence between the noise peak frequency and the fan speed when the noise is substandard includes: When the noise peak frequency is within the second preset range, and the noise peak frequency = preset coefficient * fan speed * noise difference, the noise type is determined to be torque pulsation noise. Wherein, noise difference = total noise value - noise peak value.

[0032] In practical applications, you can determine whether it is aerodynamic noise or torque pulsation noise. Alternatively, you can determine whether it is both aerodynamic noise and torque pulsation noise.

[0033] S13: Adjust the fan blade angle based on the noise type.

[0034] It should be noted that the blade angle mentioned in this application refers to the angle between the blade and the plane on which the blade is located, not the angle between the blades.

[0035] When the noise type is aerodynamic noise, adjusting the fan blade angle based on the noise type includes: Within the first preset angle range, adjust the fan blade angle until the noise level is acceptable.

[0036] When the noise type is torque pulsation noise, adjusting the fan blade angle based on the noise type includes: Within the second preset angle range, adjust the fan blade angle until the noise level is within acceptable limits.

[0037] The maximum value of the first preset angle range is greater than the maximum value of the second preset angle range.

[0038] The fan noise control method provided in this application, when the fan noise is determined to be substandard, acquires the peak frequency of the noise; determines the noise type based on the peak frequency; and adjusts the fan blade angle based on the noise type. This solution can determine different noise types based on the peak frequency when the fan noise is substandard, and then adjust the fan blade angle using different adjustment methods for different noise types. This allows for targeted adjustment of the fan blade angle based on different noise types when the noise is substandard, enabling timely adjustment without the need for a sound wave generator, resulting in low cost, applicability to various usage scenarios, and no impact on the user experience.

[0039] like Figure 2 As shown, this application provides a specific method for controlling fan noise, including: The noise level of the fan during operation is collected; Obtain the total noise value and the peak noise value of the noise; The difference between the total noise value and the peak noise value is taken as the noise difference value; Determine whether the fan noise level is acceptable based on the noise difference; When the noise difference is greater than a preset noise difference, the noise level of the fan is determined to be acceptable; when the noise difference is less than or equal to the preset noise difference, the noise level of the fan is determined to be unacceptable.

[0040] When it is determined that the noise of the fan is unqualified, the peak frequency of the noise is obtained; The noise type is determined based on the noise peak frequency; Determining the noise type based on the noise peak frequency includes: The noise type is determined based on the value of the noise peak frequency and the correspondence between the noise peak frequency and the fan speed when the noise is substandard.

[0041] In one embodiment, determining the noise type based on the value of the noise peak frequency and the correspondence between the noise peak frequency and the fan speed when the noise is substandard includes: When the noise peak frequency is within a first preset range, and the noise peak frequency = preset constant * number of fan blades * fan speed / preset value, the noise type is determined to be aerodynamic noise.

[0042] In another embodiment, determining the noise type based on the value of the noise peak frequency and the correspondence between the noise peak frequency and the fan speed when the noise is substandard includes: When the noise peak frequency is within the second preset range, and the noise peak frequency = preset coefficient * fan speed * noise difference, the noise type is determined to be torque pulsation noise. Wherein, noise difference = total noise value - noise peak value.

[0043] In practical applications, you can determine whether it is aerodynamic noise or torque pulsation noise. Alternatively, you can determine whether it is both aerodynamic noise and torque pulsation noise.

[0044] Adjust the fan blade angle based on the noise type.

[0045] When the noise type is aerodynamic noise, adjusting the fan blade angle based on the noise type includes: Within the first preset angle range, adjust the fan blade angle until the noise level is acceptable.

[0046] When the noise type is torque pulsation noise, adjusting the fan blade angle based on the noise type includes: Within the second preset angle range, adjust the fan blade angle until the noise level is within acceptable limits.

[0047] The maximum value of the first preset angle range is greater than the maximum value of the second preset angle range.

[0048] It should be noted that any process or method description in the flowchart or otherwise described herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing a particular logical function or process, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order according to the functions involved, as should be understood by those skilled in the art to which the embodiments of this application pertain.

[0049] Furthermore, in the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0050] The fan noise control method provided in this application first determines whether the fan noise is within acceptable limits based on the collected noise data. If the fan noise is determined to be unacceptable, the peak frequency of the noise is obtained. The noise type is then determined based on the peak frequency. Finally, the fan blade angle is adjusted based on the noise type. This solution can determine different noise types based on the peak frequency when the fan noise is unacceptable, and then adjust the fan blade angle using different methods for different noise types. This allows for targeted adjustment of the fan blade angle based on different noise types when the noise is unacceptable, enabling timely adjustment. Furthermore, it does not require a sound wave generator, is low-cost, applicable to various usage scenarios, and does not affect the user experience.

[0051] To further illustrate the solution of this application, the following explanation uses the noise control of an air conditioner fan as an example. Figure 4 As shown, the control device includes: The noise data acquisition module 101 is used to collect the total noise value, peak noise value and difference of different frequency bands at different speeds of the fan. The total noise value minus the peak noise value equals the difference value. The smaller the difference value, the worse the sound quality.

[0052] The noise data analysis module 102 is used to analyze noise data, and the noise types of the fan include at least aerodynamic noise and torque pulsation noise.

[0053] Adjustment module 103 is used to adjust the fan blade angle according to the type of noise.

[0054] The comparison module 104 is used to obtain the noise difference value. If the adjusted noise difference value is greater than ZdB, then the above adjustment has achieved the effect of optimizing the noise.

[0055] The following is combined Figure 5 The embodiments of this application are further described below: Includes the following steps: Noise data acquisition uses embedded acoustic sensors to collect sound pressure signals in real time during the operation of the fan, with a sampling frequency of no less than 20kHz and a sampling time of 5 seconds.

[0056] Spectrum analysis and dominant frequency extraction analyze the acquired sound pressure signal to obtain its frequency domain distribution; extract the dominant frequency components with amplitudes greater than a preset threshold from the spectrum to form a frequency feature set. Frequency feature values ​​refer to... Figure 3 The spectrum diagram shown includes peak values ​​and total values ​​for the entire frequency range. The total noise value, peak noise value, and difference can be obtained from the spectrum. The difference between the total noise value and the peak noise value is equal to the difference. The smaller the difference, the worse the sound quality.

[0057] Comparison of operating noise difference with preset difference Based on the comparison results, the control strategy is executed, and the corresponding control action is performed: adjust the fan blade angle. After executing the control action, the noise signal is re-acquired and the S2–S4 steps are repeated to form a closed-loop feedback mechanism of "perception-judgment-control-re-perception" until the noise level reaches the preset threshold.

[0058] Detailed explanation is as follows: During wind turbine operation, the system continuously collects noise signals from the turbine using built-in noise sensors. The collected noise signals are filtered and amplified before being input to the controller for analysis. The controller compares the current noise difference with a preset noise difference value Z. If the current noise difference is less than the preset value Z, an adjustment operation is triggered. The adjustment operation includes: the controller calculating a new blade angle according to a preset algorithm and driving a stepper motor or servo motor to adjust the blade angle. After adjustment, the system re-collects the current noise difference and compares it with the preset difference again. If the noise difference is still less than the preset value, the above adjustment process is repeated until the noise difference exceeds the preset value.

[0059] The preset algorithm adjusts the blade angle to maximize the difference in noise level based on the noise type. The noise difference is compared to a preset difference, and the speed point less than the preset difference is identified as the noise failure speed point. The noise type is determined based on the peak frequency of the noise failure speed point, including aerodynamic noise and torque pulsation noise. If the noise frequency of the failure speed point is within the range of 300 Hz to 1500 Hz, and the noise frequency = preset constant * number of fan blades * fan speed / 60, it is determined to be aerodynamic noise; if the noise frequency of the failure speed point is within the range of 50 Hz to 300 Hz, and the noise frequency = 0.1 * fan speed * noise difference, it is determined to be torque pulsation noise. When two types of noise are identified, the fan blade angle and rotation speed are adjusted to the preset optimal values.

[0060] In practical implementation, the control signal is transmitted to the blade angle adjustment device, which consists of a micro motor, an angle adjustment linkage, and a feedback sensor. This device can precisely adjust the blade tilt angle according to the control signal. The adjustment range of the blade angle can be set according to the fan structure, fan type, installation environment, and noise control requirements, for example, adjustable between ±5° or ±15°. Simultaneously, the controller employs a PID control algorithm or a fuzzy control algorithm to improve the stability and response speed of the adjustment process. The system also has a memory function, recording the optimal blade angle under different operating conditions to provide a reference for subsequent operation and further improve control efficiency. This implementation achieves closed-loop control of fan noise, ensuring a low noise level is maintained under different operating conditions and improving the user experience.

[0061] The air conditioning noise control method provided in this application embodiment effectively suppresses noise by dynamically adjusting the fan blade angle after real-time detection of the difference in fan operating noise and comparison with a preset difference. Specifically, it includes the following technical elements: The noise of the fan is collected in real time using noise sensors; The collected noise data is compared with a preset noise threshold to generate a control signal; The fan blade angle is dynamically adjusted according to the control signal to reduce the operating noise of the fan; A closed-loop control circuit is constructed to achieve adaptive adjustment of the blade angle and continuous optimization of noise suppression.

[0062] This allows for the acquisition of noise data during wind turbine operation, real-time analysis of noise frequencies, and automatic selection of the optimal control strategy, thereby achieving the technical effects of reducing overall wind turbine operating noise, improving operating efficiency, and enhancing user comfort.

[0063] By adopting this fan and control method, noise reduction can be achieved while meeting comfort and reliability requirements, and the versatility of the fan can be increased, thus reducing operating costs.

[0064] Based on the same inventive concept, such as Figure 6 As shown, this application embodiment provides a fan noise control device 60, including: The noise frequency acquisition module 61 is used to acquire the noise peak frequency when it is determined that the noise of the fan is unqualified. In this method, the noise from the wind turbine is collected using devices such as microphones, and the peak frequency of the noise is then obtained based on the spectrum of the collected noise. This approach is a common technique in the field and will not be elaborated upon further in this application.

[0065] In one embodiment, whether the noise level is acceptable is determined directly based on the decibel level or the peak frequency of the noise. For example, if the noise level is greater than a preset decibel level or the peak frequency of the noise is greater than a preset peak frequency, the fan noise is deemed unacceptable.

[0066] However, in many cases, the noise collected is comprehensive and not solely caused by the fan. Therefore, judging solely by peak frequency or decibels cannot truly reflect the actual situation.

[0067] Therefore, as a preferred implementation of this application, this application embodiment determines whether the fan noise level is acceptable based on the noise difference. Specifically: Obtain the total noise value and the peak noise value; take the difference between the total noise value and the peak noise value as the noise difference value; when the noise difference value is greater than a preset noise difference value, determine that the noise of the fan is qualified; when the noise difference value is less than or equal to the preset noise difference value, determine that the noise of the fan is unqualified.

[0068] Noise type determination module 62 is used to determine the noise type based on the noise peak frequency; Determining the noise type based on the noise peak frequency includes: The noise type is determined based on the value of the noise peak frequency and the correspondence between the noise peak frequency and the fan speed when the noise is substandard.

[0069] In one embodiment, determining the noise type based on the value of the noise peak frequency and the correspondence between the noise peak frequency and the fan speed when the noise is substandard includes: When the noise peak frequency is within a first preset range, and the noise peak frequency = preset constant * number of fan blades * fan speed / preset value, the noise type is determined to be aerodynamic noise.

[0070] In another embodiment, determining the noise type based on the value of the noise peak frequency and the correspondence between the noise peak frequency and the fan speed when the noise is substandard includes: When the noise peak frequency is within the second preset range, and the noise peak frequency = preset coefficient * fan speed * noise difference, the noise type is determined to be torque pulsation noise. Wherein, noise difference = total noise value - noise peak value.

[0071] In practical applications, you can determine whether it is aerodynamic noise or torque pulsation noise. Alternatively, you can determine whether it is both aerodynamic noise and torque pulsation noise.

[0072] The blade angle adjustment module 63 is used to adjust the blade angle based on the noise type.

[0073] When the noise type is aerodynamic noise, adjusting the fan blade angle based on the noise type includes: Within the first preset angle range, adjust the fan blade angle until the noise level is acceptable.

[0074] When the noise type is torque pulsation noise, adjusting the fan blade angle based on the noise type includes: Within the second preset angle range, adjust the fan blade angle until the noise level is within acceptable limits.

[0075] The maximum value of the first preset angle range is greater than the maximum value of the second preset angle range.

[0076] The fan noise control device provided in this application, when determining that the fan noise is unqualified, acquires the peak frequency of the noise; determines the noise type based on the peak frequency; and adjusts the fan blade angle based on the noise type. This solution can determine different noise types based on the peak frequency when the fan noise is unqualified, and then adjust the fan blade angle using different adjustment methods for different noise types. This allows for targeted adjustment of the fan blade angle based on different noise types when the noise is unqualified, enabling timely adjustment without the need for a sound wave generator, resulting in low cost, applicability to various usage scenarios, and no impact on the user experience.

[0077] Based on the same inventive concept, embodiments of this application provide a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the fan noise control method provided in any of the above embodiments.

[0078] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0079] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0080] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0081] The storage media mentioned above can be read-only memory, disk, or optical disk, etc.

[0082] The computer-readable storage medium provided in this application embodiment stores a computer program, which, when executed by a processor, implements the steps of the fan noise control method provided in any of the above embodiments. Thus, when the fan noise is determined to be substandard, the peak frequency of the noise is obtained; the noise type is determined based on the peak frequency; and the fan blade angle is adjusted based on the noise type. This application solution can determine different noise types based on the peak frequency when the fan noise is substandard, and then adjust the fan blade angle using different adjustment methods for different noise types. This allows for targeted adjustment of the fan blade angle based on different noise types when the noise is substandard, enabling timely adjustment without the need for a sound wave generator, resulting in low cost, applicability to various usage scenarios, and no impact on the user experience.

[0083] Based on the same inventive concept, such as Figure 7 As shown, this application also provides a fan noise control system 70, comprising: At least one processor 71 and at least one memory 72; The memory stores the executable instructions of the processor; The processor is configured to execute a fan noise control method.

[0084] The methods for controlling fan noise include: When it is determined that the noise of the fan is unqualified, the peak frequency of the noise is obtained; In this method, the noise from the wind turbine is collected using devices such as microphones, and the peak frequency of the noise is then obtained based on the spectrum of the collected noise. This approach is a common technique in the field and will not be elaborated upon further in this application.

[0085] In one embodiment, whether the noise level is acceptable is determined directly based on the decibel level or the peak frequency of the noise. For example, if the noise level is greater than a preset decibel level or the peak frequency of the noise is greater than a preset peak frequency, the fan noise is deemed unacceptable.

[0086] However, in many cases, the noise collected is comprehensive and not solely caused by the fan. Therefore, judging solely by peak frequency or decibels cannot truly reflect the actual situation.

[0087] Therefore, as a preferred implementation of this application, this application embodiment determines whether the fan noise level is acceptable based on the noise difference. Specifically: Obtain the total noise value and the peak noise value; take the difference between the total noise value and the peak noise value as the noise difference value; when the noise difference value is greater than a preset noise difference value, determine that the noise of the fan is qualified; when the noise difference value is less than or equal to the preset noise difference value, determine that the noise of the fan is unqualified.

[0088] The noise type is determined based on the noise peak frequency; Determining the noise type based on the noise peak frequency includes: The noise type is determined based on the value of the noise peak frequency and the correspondence between the noise peak frequency and the fan speed when the noise is substandard.

[0089] In one embodiment, determining the noise type based on the value of the noise peak frequency and the correspondence between the noise peak frequency and the fan speed when the noise is substandard includes: When the noise peak frequency is within a first preset range, and the noise peak frequency = preset constant * number of fan blades * fan speed / preset value, the noise type is determined to be aerodynamic noise.

[0090] In another embodiment, determining the noise type based on the value of the noise peak frequency and the correspondence between the noise peak frequency and the fan speed when the noise is substandard includes: When the noise peak frequency is within the second preset range, and the noise peak frequency = preset coefficient * fan speed * noise difference, the noise type is determined to be torque pulsation noise. Wherein, noise difference = total noise value - noise peak value.

[0091] In practical applications, you can determine whether it is aerodynamic noise or torque pulsation noise. Alternatively, you can determine whether it is both aerodynamic noise and torque pulsation noise.

[0092] Adjust the fan blade angle based on the noise type.

[0093] When the noise type is aerodynamic noise, adjusting the fan blade angle based on the noise type includes: Within the first preset angle range, adjust the fan blade angle until the noise level is acceptable.

[0094] When the noise type is torque pulsation noise, adjusting the fan blade angle based on the noise type includes: Within the second preset angle range, adjust the fan blade angle until the noise level is within acceptable limits.

[0095] The maximum value of the first preset angle range is greater than the maximum value of the second preset angle range.

[0096] The fan noise control system provided in this application stores executable instructions for a processor in a memory. When these instructions are executed, the processor can obtain the peak frequency of the noise when it determines that the fan noise is substandard; determine the noise type based on the peak frequency; and adjust the fan blade angle based on the noise type. This solution can determine different noise types based on the peak frequency when the fan noise is substandard, and then adjust the fan blade angle using different adjustment methods for different noise types. This allows for targeted adjustment of the fan blade angle based on different noise types when the noise is substandard, enabling timely adjustment without the need for a sound wave generator, resulting in low cost, applicability to various usage scenarios, and no impact on the user experience.

[0097] Based on the same inventive concept, this application also provides an air conditioner that applies a fan noise control method.

[0098] The methods for controlling fan noise include: The methods for controlling fan noise include: When it is determined that the noise of the fan is unqualified, the peak frequency of the noise is obtained; In this method, the noise from the wind turbine is collected using devices such as microphones, and the peak frequency of the noise is then obtained based on the spectrum of the collected noise. This approach is a common technique in the field and will not be elaborated upon further in this application.

[0099] In one embodiment, whether the noise level is acceptable is determined directly based on the decibel level or the peak frequency of the noise. For example, if the noise level is greater than a preset decibel level or the peak frequency of the noise is greater than a preset peak frequency, the fan noise is deemed unacceptable.

[0100] However, in many cases, the noise collected is comprehensive and not solely caused by the fan. Therefore, judging solely by peak frequency or decibels cannot truly reflect the actual situation.

[0101] Therefore, as a preferred implementation of this application, this application embodiment determines whether the fan noise level is acceptable based on the noise difference. Specifically: Obtain the total noise value and the peak noise value; take the difference between the total noise value and the peak noise value as the noise difference value; when the noise difference value is greater than a preset noise difference value, determine that the noise of the fan is qualified; when the noise difference value is less than or equal to the preset noise difference value, determine that the noise of the fan is unqualified.

[0102] The noise type is determined based on the noise peak frequency; Determining the noise type based on the noise peak frequency includes: The noise type is determined based on the value of the noise peak frequency and the correspondence between the noise peak frequency and the fan speed when the noise is substandard.

[0103] In one embodiment, determining the noise type based on the value of the noise peak frequency and the correspondence between the noise peak frequency and the fan speed when the noise is substandard includes: When the noise peak frequency is within a first preset range, and the noise peak frequency = preset constant * number of fan blades * fan speed / preset value, the noise type is determined to be aerodynamic noise.

[0104] In another embodiment, determining the noise type based on the value of the noise peak frequency and the correspondence between the noise peak frequency and the fan speed when the noise is substandard includes: When the noise peak frequency is within the second preset range, and the noise peak frequency = preset coefficient * fan speed * noise difference, the noise type is determined to be torque pulsation noise. Wherein, noise difference = total noise value - noise peak value.

[0105] In practical applications, you can determine whether it is aerodynamic noise or torque pulsation noise. Alternatively, you can determine whether it is both aerodynamic noise and torque pulsation noise.

[0106] Adjust the fan blade angle based on the noise type.

[0107] When the noise type is aerodynamic noise, adjusting the fan blade angle based on the noise type includes: Within the first preset angle range, adjust the fan blade angle until the noise level is acceptable.

[0108] When the noise type is torque pulsation noise, adjusting the fan blade angle based on the noise type includes: Within the second preset angle range, adjust the fan blade angle until the noise level is within acceptable limits.

[0109] The maximum value of the first preset angle range is greater than the maximum value of the second preset angle range.

[0110] The air conditioner provided in this application embodiment, by applying the fan noise control method provided in the above embodiment, can obtain the peak frequency of the noise when it is determined that the fan noise is unqualified; determine the noise type based on the peak frequency; and adjust the fan blade angle based on the noise type. This solution can determine different noise types based on the peak frequency when the fan noise is unqualified, and then adjust the fan blade angle using different adjustment methods for different noise types. This allows for targeted adjustment of the fan blade angle based on different noise types when the noise is unqualified, enabling timely adjustment without the need for a sound wave generator, resulting in low cost, applicability to various usage scenarios, and no impact on the user experience.

[0111] It is understood that the same or similar parts in the above embodiments can be referred to each other, and the contents not described in detail in some embodiments can be referred to the same or similar contents in other embodiments.

[0112] It should be noted that in the description of this application, the terms "first," "second," etc., are used for descriptive purposes only and should not be construed as indicating or implying relative importance. Furthermore, in the description of this application, unless otherwise stated, "a plurality of" means at least two.

[0113] Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of this application.

Claims

1. A method of fan noise control, characterized by, The method comprises the following steps: When it is determined that the noise of the fan is unqualified, a noise peak frequency of the noise is acquired; Based on the noise peak frequency, a noise type of the noise is determined; Based on the noise type, a blade angle is adjusted.

2. The method of claim 1, wherein: The step of determining the noise type of the noise based on the noise peak frequency comprises the following steps: Based on a numerical value of the noise peak frequency and a corresponding relationship between the noise peak frequency and a fan rotating speed when the noise is unqualified, the noise type of the noise is determined.

3. The method of claim 2, wherein: The step of determining the noise type of the noise based on the noise peak frequency comprises the following steps: When the noise peak frequency is in a first preset range and the noise peak frequency = a preset constant * a fan blade number * a fan rotating speed / a preset value, it is determined that the noise type of the noise is aerodynamic noise.

4. The method of claim 3, wherein: The step of adjusting the blade angle based on the noise type comprises the following steps: When the noise type of the noise is aerodynamic noise, the blade angle is adjusted within a first preset angle range until the noise is qualified.

5. The method of claim 2, wherein: The step of determining the noise type of the noise based on the noise peak frequency comprises the following steps: When the noise peak frequency is in a second preset range and the noise peak frequency = a preset coefficient * a fan rotating speed * a noise difference value, it is determined that the noise type of the noise is torque pulsation noise; Wherein, the noise difference value = a noise total value - a noise peak value.

6. The method of claim 5, wherein: The step of adjusting the blade angle based on the noise type comprises the following steps: When the noise type of the noise is torque pulsation noise, the blade angle is adjusted within a second preset angle range until the noise is qualified.

7. The method of claim 1, wherein, The method further comprises the following steps: Noise of the fan during operation is collected; A noise total value and a noise peak value of the noise are acquired; A noise difference value is obtained by subtracting the noise peak value from the noise total value; When the noise difference value is greater than a preset noise difference value, it is determined that the noise of the fan is qualified; when the noise difference value is less than or equal to the preset noise difference value, it is determined that the noise of the fan is unqualified.

8. A fan noise control device, characterized by, The method comprises the following steps: A noise frequency acquisition module is configured to acquire a noise peak frequency of the noise when it is determined that the noise of the fan is unqualified; A noise type determination module is configured to determine a noise type of the noise based on the noise peak frequency; A blade angle adjustment module is configured to adjust a blade angle based on the noise type.

9. A fan noise control system, characterized by, The method comprises the following steps: At least one processor and at least one memory; The memory stores executable instructions of the processor; The processor is configured to execute the method of any one of claims 1-7.

10. An air conditioner characterized by comprising: The method of any one of claims 1-7 is applied.

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