Noise control method of air conditioner, medium and equipment

Abstract

The invention relates to the technical field of air conditioners, particularly provides a noise control method of an air conditioner, a medium and equipment, and aims at solving the technical problem that the effect of actively reducing noise during operation of an air conditioner outdoor unit is poor to a certain extent. In order to achieve the purpose, the noise control method of the air conditioner comprises the steps that audio data in the operation process of an outdoor unit of the air conditioner is obtained; under the condition that the sound pressure value of the audio data is greater than a set value, determining an adjustment amount according to the audio data; and adjusting the compressor frequency of the air conditioner according to the adjustment amount.

Description

Technical Field

[0001] The present invention relates to the technical field of air conditioners, and specifically provides a noise control method, medium and equipment for an air conditioner. Background Art

[0002] The outdoor unit of the air conditioner may generate strong noise during operation, affecting people's normal life. Therefore, it is necessary to control the noise of the outdoor unit of the air conditioner during operation. The noise of the outdoor unit of the air conditioner during operation is usually caused by multiple factors and is uncertain. Therefore, active noise reduction is needed to suppress the noise in order to achieve a better suppression effect.

[0003] In the prior art, active noise reduction modules are usually used to actively suppress noise. The working principle is to emit noise reduction waves with a phase opposite to the noise signal to offset the noise. However, the active noise reduction module can only have a good suppression effect on noise within a narrow frequency band, and the noise reduction waves it emits need to be effective in a fixed cavity space, resulting in poor noise reduction effect of the active noise reduction module in actual application.

[0004] Accordingly, the art needs to provide a new technical solution to solve the above problems. Summary of the invention

[0005] In order to at least partially overcome the above-mentioned defects, the present invention is proposed. Specifically, the present invention provides a noise control method, medium and device for an air conditioner that can at least partially solve the technical problem of poor effect of active noise reduction when the air conditioner outdoor unit is running.

[0006] A first aspect of the present invention provides a noise control method for an air conditioner, the method comprising: obtaining audio data during the operation of an outdoor unit of the air conditioner; when a sound pressure value of the audio data is greater than a set value, determining an adjustment amount of a compressor frequency according to the audio data; and adjusting the frequency of the compressor of the air conditioner according to the adjustment amount.

[0007] It can be seen that the noise control method provided in this embodiment controls noise by adjusting the compressor frequency. The adjustment amount of the compressor frequency is determined based on the audio data during the actual operation of the air-conditioning outdoor unit. This adjustment method is highly flexible and targeted, and can achieve better noise control effects.

[0008] In a technical solution of the above method, the "determining the compressor frequency adjustment amount according to the audio data" includes: determining the noise type according to the audio data; and determining the adjustment amount at least according to the noise type.

[0009] Through such a structure, a possible implementation method of determining the adjustment amount of the compressor frequency based on audio data is provided. The adjustment amount determined in this way can more accurately correspond to the current operating condition of the air conditioner's outdoor unit, thereby helping to improve the noise suppression effect.

[0010] In a technical solution of the above method, the “determining the adjustment amount at least according to the noise type” includes: determining the adjustment amount at least according to the noise type and the sound pressure value.

[0011] Through such a configuration, another possible implementation method of determining the adjustment amount of the compressor frequency based on audio data is provided, which helps to determine the adjustment amount more finely, thereby further improving the noise suppression effect.

[0012] In a technical solution of the above method, the "determining the noise type according to the audio data" includes: calculating the similarity between the audio data and multiple noise samples corresponding to different noise types; and determining the noise type of the audio data according to the result of the similarity calculation.

[0013] Through such a configuration, a possible implementation method for determining the noise type according to audio data is provided.

[0014] In a technical solution of the above method, the "adjusting the frequency of the compressor of the air conditioner according to the adjustment amount" includes: determining the changing trend of the sound pressure value of the audio data; if the changing trend of the sound pressure value is an upward trend, reducing the frequency of the compressor according to the adjustment amount.

[0015] In a technical solution of the above method, the "adjusting the frequency of the compressor of the air conditioner according to the adjustment amount" includes: if the change trend of the sound pressure value is a downward trend, increasing the frequency of the compressor according to the adjustment amount.

[0016] Through such a structure, a possible way of frequency adjustment is provided. The advantage of this method is that it can not only effectively suppress the development of noise, but also avoid large changes in the frequency of the compressor due to continuous frequency increase or decrease, thereby affecting the cooling / heating effect of the air conditioner.

[0017] In a technical solution of the above method, the "adjusting the compressor frequency of the air conditioner according to the adjustment amount" includes: determining the frequency adjustment speed according to the adjustment amount; and adjusting the compressor frequency of the air conditioner according to the adjustment amount and the frequency adjustment speed.

[0018] With such a configuration, a possible way of frequency adjustment is provided.

[0019] In one technical solution of the above method, "when the sound pressure value of the audio data is greater than a set value, determining the adjustment amount according to the audio data" includes: when the sound pressure value of the audio data is greater than the set value and a set time has passed since the last frequency adjustment of the compressor of the air conditioner, determining the adjustment amount according to the audio data.

[0020] With such a configuration, it is possible to avoid frequent adjustment of the compressor frequency while suppressing the development of noise.

[0021] A second aspect of an embodiment of the present invention provides a computer-readable storage medium, which is suitable for storing a plurality of program codes, and the program codes are suitable for being loaded and run by a processor to execute the noise control method of the air conditioner as described in any one of the above items.

[0022] A third aspect of an embodiment of the present invention provides a computer device, comprising a memory and a processor, wherein the memory is suitable for storing a plurality of program codes, and when the program codes are executed by the processor, the noise control method for the air conditioner as described in any one of the above items can be implemented.

[0023] It can be understood that the air conditioner and the computer-readable storage medium have all the technical effects of the control method of the air guide component described in any of the above items, which will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The disclosure of the present invention will become more easily understood with reference to the accompanying drawings. It is easy for those skilled in the art to understand that these drawings are only for illustrative purposes and are not intended to limit the scope of protection of the present invention. In addition, similar numbers in the figures are used to represent similar components, among which:

[0025] Figure 1 is a schematic diagram of a usage scenario of a method according to an embodiment of the present invention;

[0026] Figure 2 is a flow chart of a method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0027] Some embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0028] The embodiment of the present invention first provides a noise control method for an air conditioner. Figure 1A schematic diagram of an application scenario of the control method of an embodiment of the present invention is shown. In this embodiment, the executor of the control method is a cloud server 1. In actual application, the cloud server 1 can receive relevant data uploaded by the air conditioner 2 through the Internet or other suitable communication methods (such as using a user terminal as a communication medium), and generate corresponding control instructions, and then send the control instructions to the air conditioner 2 through the Internet, thereby completing the control of the air conditioner 2.

[0029] Obviously, those skilled in the art can understand that the execution subject of the control method provided in the embodiment of the present invention can also be one or more components of the air conditioner 2, such as the execution subject can be one or more processors configured in the air conditioner 2. In comparison, the control method using the cloud server 1 as the execution subject can reduce the requirements on the hardware performance of the air conditioner 2 itself, thereby helping to reduce the cost of the air conditioner 2.

[0030] As a possible implementation, the air conditioner 2 may include an external unit 21, a collection module 22 and a communication module 23. The collection module 22 is used to collect audio data during the operation of the external unit 21. The collection module 22 may include audio collection equipment such as a microphone, which can be configured on the shell of the external unit 21, or configured on a certain structure inside the external unit 21, a certain structure outside the external unit 21 (such as a mounting frame, etc.), or set in other structures of the air conditioner 2 (such as the internal unit of the air conditioner 2), etc. Those skilled in the art can make settings according to actual usage requirements, and there is no limitation on this.

[0031] The communication module 23 can be electrically connected to the acquisition module 22 and communicated with the cloud server 1, so that it can upload the audio data collected by the acquisition module 22 to the cloud server 1, so that the cloud server 1 executes the noise reduction control method of the air conditioner. The communication module 23 can be electrically connected to the acquisition module 22 by wire or wirelessly, and communicated with the cloud server 1 by communication means such as the Internet, and there is no limitation on this.

[0032] The specific technical details of the noise control method will be described below mainly with the cloud server 1 as the execution subject. It should be noted that when the noise control method is executed with the cloud server 1 as the execution subject, the cloud server 1 can serve multiple air conditioners, and what will be described below is the implementation method for noise control for a specific air conditioner. In other words, in the absence of specific instructions, the air conditioners mentioned below generally refer to the same air conditioner.

[0033] Figure 2 A flow chart of a noise control method according to an embodiment of the present invention is shown. The control method comprises the following steps:

[0034] Step S201: Acquire audio data during the operation of the outdoor unit of the air conditioner.

[0035] Step S202: when the sound pressure value of the audio data is greater than the set value, determining an adjustment amount according to the audio data.

[0036] Step S203: adjusting the compressor frequency of the air conditioner according to the adjustment amount.

[0037] It can be seen that the noise control method provided in this embodiment reduces noise by adjusting the compressor frequency. The adjustment amount of the compressor frequency is determined based on the audio data during the actual operation of the air-conditioning outdoor unit. This noise reduction method is highly flexible and targeted, and can achieve better noise control effects.

[0038] About step S201

[0039] As described above, the cloud server 1 can obtain the audio data during the operation of the outdoor unit 21 by communicating with the communication module 23 of the air conditioner 2. In a possible implementation, the cloud server 1 can obtain the audio data in real time so as to promptly execute the subsequent related steps when the noise of the air conditioner outdoor unit is large. Alternatively, the cloud server 1 can obtain the audio data once every certain period of time (the interval time can be fixed or not fixed), and those skilled in the art can make a choice according to actual needs.

[0040] About step S202

[0041] In this step, the sound pressure value of the audio data needs to be determined first. If the sound pressure value of the audio data is greater than the set value, the step of "determining the adjustment amount of the compressor frequency according to the audio data" and the subsequent step S203 need to be performed. Generally speaking, sounds below 50dB have little impact on users, so the set value here can be 50dB. Obviously, those skilled in the art can set the set value to any other appropriate value according to actual needs, and there is no limitation on this.

[0042] In a possible implementation, as described above, the cloud server 1 can obtain audio data in real time. In this case, the "sound pressure value of the audio data" here may refer to the real-time sound pressure value of the audio data, that is, the cloud server 1 can monitor the sound pressure value of the audio data in real time, so as to determine the adjustment amount in time when the sound pressure value is greater than the set value and make the compressor adjust the frequency according to the adjustment amount.

[0043] However, it is understandable that it takes a certain amount of time for the compressor to adjust its frequency, and the frequency adjustment of the compressor may not immediately cause a change in the sound pressure value of the audio data. Therefore, the sound pressure value monitored for a period of time after the last frequency adjustment of the compressor may always be greater than the set value.

[0044] To this end, in a possible implementation, it can be determined whether the step of determining the adjustment amount and subsequent steps need to be performed based on the sound pressure value and the time since the last adjustment of the compressor frequency. That is, when the sound pressure value of the audio data is greater than the set value, and the time since the last adjustment of the compressor frequency is greater than the set time (such as 5 minutes, 10 minutes, etc.), the adjustment amount of the compressor frequency is determined based on the audio data. The set time can be determined based on a preliminary experiment, or can be set by the user, and there is no restriction on this.

[0045] Through this structure, the frequent adjustment of the compressor frequency can be avoided while suppressing the noise, thereby avoiding the frequent changes of the compressor frequency causing the temperature of the air conditioner to fluctuate and affecting the user's experience.

[0046] Alternatively, in the case of obtaining audio data of the air conditioner outdoor unit in real time, the "sound pressure value of the audio data" here may refer to the average sound pressure value of the audio data obtained over a period of time in the past. For example, the cloud server 1 may count the average sound pressure value of the audio data at a set frequency, such as counting the average sound pressure value of the audio data every 5 minutes. The statistical range is the audio data obtained within a period of time from the time node of the last sound pressure value statistics to the current time node.

[0047] In a possible implementation, as described above, the cloud server 1 may acquire audio data once at a certain interval. In this case, the sound pressure value of the audio data may refer to the average sound pressure value of the audio data acquired this time or the sound pressure value at the last moment.

[0048] In a possible implementation, in the step of "determining the adjustment amount according to the audio data", the noise type can be determined according to the audio data, and the adjustment amount can be determined at least according to the noise type. As an example, the cloud server 1 can store a pre-built mapping table of noise types and adjustment amounts. After the noise type is determined, the adjustment amount corresponding to the noise type can be determined according to the mapping table.

[0049] The mapping table between the noise type and the adjustment amount can be constructed by the following method:

[0050] First, audio data of the air conditioner 2 when it is running under different working conditions (such as different installation environments, weather environments, and operating parameters) is collected as noise samples, and then these noise samples are divided into multiple noise types according to the sound characteristics of these noise samples (such as sound frequency, etc.) (noise samples with similar sound characteristics can be divided into the same noise type). Next, the adjustment amount of the compressor frequency can be determined for each noise type, and the adjustment amount can be determined by experiments, theoretical calculations, etc., without limitation.

[0051] The mapping table of noise type and adjustment amount can be constructed for multiple models of air conditioners, or for a specific model of air conditioner, or for a specific air conditioner. Technical personnel in this field can set it according to actual needs.

[0052] The adjustment amount determined in the above manner can more accurately correspond to the current operating condition of the outdoor unit 21 of the air conditioner, thereby helping to improve the noise suppression effect.

[0053] Obviously, the implementation method of "determining the adjustment amount of the compressor frequency according to the audio data" is not limited to this. For example, a pre-set calculation rule can be used to calculate the adjustment amount according to one or more parameters in the audio data, or the adjustment amount can be determined according to the sound pressure value of the audio data (in this case, the sound pressure value can be positively correlated with the adjustment amount).

[0054] In a possible implementation manner, the step of “determining the adjustment value at least according to the noise type” may specifically include: determining the adjustment value according to the sound pressure value and the noise type.

[0055] Specifically, in this embodiment, the mapping table of noise type and adjustment amount has multiple adjustment values ​​corresponding to each noise type, and the multiple adjustment values ​​correspond to different sound pressure value ranges. This method helps to determine the adjustment amount more finely, thereby further improving the effect of noise suppression.

[0056] In a possible implementation, the step of “determining the noise type according to the audio data” may specifically include: performing similarity calculation between the audio data and a plurality of noise samples corresponding to different noise types, and determining the noise type of the audio data according to the result of the similarity calculation.

[0057] As described above, in the process of constructing the mapping table of noise type and adjustment amount, multiple noise samples are collected, and the collected noise samples can be stored in the database of the cloud server 1. After obtaining the audio data, the cloud server 1 can calculate the similarity between the audio data and these noise samples, and determine the noise type corresponding to the noise sample with the highest similarity as the noise type of the audio data.

[0058] The similarity calculation can be implemented using the following formula:

[0059]

[0060] In the above formula, X i is the acquired audio data, Y i is a noise sample in the noise library.

[0061] Obviously, the method of determining the noise type of audio data is not limited to this. For example, noise samples can also be used as training data to build a classification model of noise types, and the noise samples corresponding to the audio data can be determined with the help of the classification model. Technical personnel in this field can make a choice based on actual needs.

[0062] About step S203

[0063] In step S203, the cloud server 1 can generate an adjustment instruction according to the adjustment amount determined in step S202, and send the adjustment instruction to the controller of the air conditioner, so as to adjust the compressor frequency of the air conditioner. The cloud server 1 can send the adjustment instruction to the controller of the air conditioner by means of the communication module 23 described above, or can directly communicate with the controller of the air conditioner to send the adjustment instruction to the controller of the air conditioner, etc., without limitation.

[0064] Adjusting the compressor frequency according to the adjustment amount means that the frequency of the compressor is increased / decreased based on the current frequency, and the amount of increase / decrease is the adjustment amount. Specifically, assuming that the current frequency of the compressor is A, the absolute value of the adjustment amount can be B, then the frequency after the frequency adjustment according to the adjustment amount should be A±B.

[0065] In one possible implementation, when adjusting the compressor frequency of the air conditioner, the frequency adjustment speed can be determined based on the adjustment amount, and then the compressor frequency can be adjusted based on the adjustment amount and the frequency adjustment speed, that is, the compressor is increased or decreased in frequency according to the frequency adjustment speed until the increase or decrease in frequency reaches the adjustment amount.

[0066] As an example, when determining the frequency adjustment speed according to the adjustment amount, the frequency adjustment speed can be determined according to the adjustment amount and the set time, that is, frequency adjustment speed = adjustment amount / set time, so that when the frequency adjustment speed is used for adjustment, it can be ensured that the frequency adjustment is completed within the set time, thereby timely suppressing the development of noise. The set time here can be determined based on a preliminary experiment, and the set time can be different for different models of air conditioners or even for different air conditioners of the same model. The set time can also be set by the user, and there is no restriction on this.

[0067] Obviously, in addition to determining the frequency adjustment speed according to the set time, the frequency adjustment speed can also be determined according to the adjustment amount according to the set coefficient. In this implementation, the frequency adjustment speed and the adjustment amount can be positively correlated or negatively correlated. Alternatively, it is also possible to directly use a fixed frequency adjustment speed to adjust the compressor frequency.

[0068] In a possible implementation, "adjusting the frequency of the compressor of the air conditioner according to the adjustment amount" may specifically include: determining the change trend of the sound pressure value of the audio data, and if the change trend of the sound pressure value includes an upward trend, reducing the frequency of the compressor according to the adjustment amount. "Adjusting the frequency of the compressor of the air conditioner according to the adjustment amount" may also include: if the change trend of the sound pressure value includes a downward trend, reducing the frequency of the compressor according to the adjustment amount.

[0069] As described above, the compressor can increase or decrease the frequency when adjusting the frequency. In this embodiment, whether to increase or decrease the frequency is determined based on the changing trend of the sound pressure value of the audio data. The advantage of this method is that it can not only effectively suppress the development of noise, but also timely adjust the compressor frequency to avoid large changes in the frequency of the compressor due to continuous increase or decrease in frequency, thereby affecting the cooling / heating effect of the air conditioner.

[0070] In this embodiment, the sound pressure value change trend may refer to the change trend of the sound pressure value within a set time period before the current time node, for example, the change trend within the past 10 minutes. The set time period should not be too long, otherwise it will not have reference significance, and should not be too short, otherwise it will not reflect the true change trend of the sound pressure value after the last frequency adjustment. Those skilled in the art should reasonably set the set time period based on actual conditions. Alternatively, the sound pressure value change trend may also refer to the change trend of the sound pressure value within the time period from the last frequency adjustment to the current time node.

[0071] In one possible scenario, there may be both an upward trend and a downward trend in the changing trend of the sound pressure value. In this case, a technician in this field can predict the subsequent changing trend of the noise based on the changing trend of the sound pressure value of the audio data, and decide whether to increase or decrease the frequency based on the predicted changing trend. Alternatively, the changing trend can be determined based on the changing trend in a time period relatively close to the current time node. Alternatively, the changing trend can be determined based on the sound pressure value at the beginning and the sound pressure value at the end of the audio data, and there is no limitation on this.

[0072] Additional details on noise control methods

[0073] In a possible implementation, the noise control method for an air conditioner may further include: performing statistical analysis on audio data acquired within a historical period to determine an average noise level of the air conditioner.

[0074] It is understandable that the cloud server 1 can perform noise control on multiple air conditioners at the same time. Therefore, it can collect the average noise level data of multiple air conditioners. Thus, it can statistically analyze the distribution of urban noise based on the collected data, thereby providing a data source for building a smart city.

[0075] On the other hand, assuming that the remote server 1 detects that the average noise level of a certain type of air conditioner is high, or the average noise level of a specific air conditioner is high, the cloud server 1 can optimize this type of air conditioner, or even this specific air conditioner (for example, optimize the mapping table between noise type and adjustment amount), thereby improving the noise control effect of this type of air conditioner or this specific air conditioner.

[0076] The above describes the noise control method of the air conditioner provided by the embodiment of the present invention with the cloud server 1 as the execution subject. As described above, part or all of the steps of the noise control method can also be executed with the air conditioner 2 (such as the controller of the air conditioner 2) as the execution subject, and its specific implementation method is similar to the execution method when the cloud server 1 is the execution subject, which will not be repeated here.

[0077] The embodiment of the present invention further provides an air conditioner, referring to Figure 1 The air conditioner may include an outdoor unit 21, a collection module 22, and a communication module 23. The collection module 22 is used to collect audio data during the operation of the outdoor unit 21. The communication module 23 may be electrically connected to the collection module 22 and communicated with the cloud server 1. The cloud server 1 is used to execute the noise control method of the air conditioner as described in any of the above embodiments.

[0078] An embodiment of the present invention further provides a computer-readable storage medium, which is suitable for storing a plurality of program codes, and the program codes are suitable for being loaded and run by a processor to execute the noise control method of the air conditioner as described in any of the above embodiments.

[0079] It is understood by those skilled in the art that all or part of the processes in the implementation method of the present invention can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the above-mentioned various method embodiments can be implemented. Among them, the computer program includes computer program code, and it can be understood that the program code includes but is not limited to the program code for executing the above-mentioned method. For the convenience of explanation, only the part related to the present invention is shown. The computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable storage medium may include: any entity or device, medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory, random access memory, electric carrier signal, telecommunication signal and software distribution medium that can carry the computer program code. It should be noted that the content contained in the computer-readable storage medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable storage medium does not include electric carrier signals and telecommunication signals.

[0080] An embodiment of the present invention further provides a computer device, which includes a memory and a processor, wherein the memory is suitable for storing a plurality of program codes, and when the program codes are executed by the processor, the noise control method of the air conditioner as described in any of the above embodiments can be implemented.

[0081] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

Claims

1. A noise control method for an air conditioner, characterized in that: The method comprises: Obtain audio data during the operation of the outdoor unit of the air conditioner; In a case where the sound pressure value of the audio data is greater than a set value, determining an adjustment amount according to the audio data; The compressor frequency of the air conditioner is adjusted according to the adjustment amount.

2. The method according to claim 1, characterized in that The “determining the adjustment amount according to the audio data” includes: Determining the noise type according to the audio data; The adjustment amount is determined based at least on the noise type.

3. The method according to claim 2, characterized in that The “determining the adjustment amount at least according to the noise type” includes: The adjustment amount is determined according to the noise type and the sound pressure value.

4. The method according to claim 2, characterized in that: The “determining the noise type according to the audio data” includes: Calculating similarity between the audio data and a plurality of noise samples, where the plurality of noise samples correspond to a plurality of noise types; The noise type of the audio data is determined according to the calculation result.

5. The method according to claim 1, characterized in that The “adjusting the compressor frequency of the air conditioner according to the adjustment amount” includes: Determining a sound pressure value change trend of the audio data; If the change trend includes an upward trend, the frequency of the compressor of the air conditioner is reduced according to the adjustment amount.

6. The method according to claim 5, characterized in that The “adjusting the frequency of the compressor of the air conditioner according to the adjustment amount” includes: If the change trend includes a downward trend, the frequency of the compressor of the air conditioner is increased according to the adjustment amount.

7. The method according to claim 5, characterized in that The “adjusting the compressor frequency of the air conditioner according to the adjustment amount” includes: Determining a frequency adjustment speed according to the adjustment amount; The compressor frequency of the air conditioner is adjusted according to the adjustment amount and the frequency adjustment speed.

8. The method according to any one of claims 5 to 7, characterized in that: The “determining the adjustment amount according to the audio data when the sound pressure value of the audio data is greater than the set value” includes: In a case where the sound pressure value of the audio data is greater than a set value and a set time has passed since the last frequency adjustment of the compressor of the air conditioner, an adjustment amount is determined according to the audio data.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium is suitable for storing a plurality of program codes, and the program codes are suitable for being loaded and run by a processor to execute the noise control method for an air conditioner according to any one of claims 1 to 8.

10. A computer device, characterized in that: The computer device comprises a memory and a processor, wherein the memory is suitable for storing a plurality of program codes, and when the program codes are executed by the processor, the noise control method for the air conditioner according to any one of claims 1 to 8 can be implemented.

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