Air conditioner noise determination method and device, air conditioner equipment and storage medium
By collecting and analyzing noise data in the air conditioner and determining the speed points of the peak and peak noise under different working conditions, the problem of identifying noise problems in the air conditioner is solved, effective control of noise is achieved, and user experience is improved.
Patent Information
- Application Number
- CN202510699853.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-28
- Publication Date
- 2025-06-27
- Estimated Expiration
- 2045-05-28
AI Technical Summary
Under different working conditions, the speed point where the frequency converter air conditioner motor is used randomly, resulting in noise problems is difficult to identify.
By controlling the air conditioner to operate within the target working conditions and preset speed range, noise data is collected and spectral analysis of the noise data is carried out to determine the target speed point corresponding to the noise peak value.
It can identify the speed points where noise peaks and peaks occur under different working conditions, so that noise control is carried out for different noise types and speed points when the air conditioner is subsequently controlled to improve the user experience.
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Figure CN120212602A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the technical field of air conditioners, and in particular, to a method and device for determining air conditioner noise, an air conditioner device, and a storage medium. Background Art
[0002] Currently, air conditioners are used in different ambient temperatures. Common environments include: nominal heating, nominal cooling, low-temperature heating, high-temperature cooling conditions, etc. Under different working conditions, the motors of variable-frequency air conditioners will have stepless speed regulation, and the speed points are randomly used, making it difficult to identify the speed points with noise problems.
[0003] In view of the above technical problems in the prior art, there is currently no effective solution. Summary of the Invention
[0004] This application provides a method and device for determining air conditioner noise, an air conditioner device, and a storage medium to solve the problem in the prior art that under different working conditions, the motors of variable-frequency air conditioners have stepless speed regulation and the speed points are randomly used, making it difficult to identify the speed points with noise problems.
[0005] In a first aspect, this application provides a method for determining air conditioner noise, including: controlling the air conditioner to operate under a target working condition and within a preset speed range; where the target working condition is any one of a plurality of preset working conditions of the air conditioner; during the operation of the motor within the preset speed range, collecting the noise data generated by the air conditioner; performing spectral analysis on the collected noise data, and determining the target speed point corresponding to the target noise type from the spectral analysis, where there is a noise peak value in the spectral analysis of the target speed point and the corresponding target noise spectrum frequency.
[0006] Optionally, when the target noise type is carrier frequency noise or motor electromagnetic noise, performing spectral analysis on the collected noise data and determining the target speed point corresponding to the target noise type from the spectral analysis includes: according to the collected noise data, determining a plurality of spectral analysis diagrams respectively corresponding to a plurality of noise spectrum frequencies at each speed point, where the spectral analysis diagram represents the mapping relationship between the noise spectrum frequency and the noise decibel; determining the target spectral analysis diagram with the noise spectrum peak frequency from the plurality of spectral analysis diagrams, and determining the target noise spectrum frequency corresponding to the target spectral analysis diagram; determining the speed point corresponding to the target noise spectrum frequency as the target speed point.
[0007] Optionally, when the target noise type is motor rotation noise, performing spectrum analysis on the collected noise data, and determining the target rotation speed point corresponding to the target noise type from the spectrum analysis includes: determining a plurality of corresponding noise spectrum frequencies based on a plurality of rotation speed points within the preset rotation speed range and the number of motor blades; determining a spectrum analysis diagram corresponding to the plurality of noise spectrum frequencies according to the collected noise data; when there is a peak value in the spectrum analysis diagram, determining the target noise spectrum frequency corresponding to the peak value; and determining the rotation speed point corresponding to the noise spectrum frequency as the target rotation speed point.
[0008] Optionally, when the target noise type is carrier frequency noise, the method further includes: when the motor of the air conditioner operates at the target rotation speed point, controlling the main board of the air conditioner to operate at other noise spectrum frequencies except the target noise spectrum frequency.
[0009] Optionally, when the target noise type is motor electromagnetic noise, the method further includes: adjusting target parameters to determine target parameters with the optimal noise spectrum at the target noise spectrum frequency, where the target parameters include a speed loop, a current loop, and compensation parameters.
[0010] Optionally, the method further includes: controlling the air conditioner to adaptively adjust within a low dead time to reduce low-frequency noise, or controlling the air conditioner to adaptively adjust within a high dead time to improve the carrying capacity of the air conditioner under different working conditions.
[0011] Optionally, the method further includes: controlling the air conditioner to operate at rotation speed points other than the target rotation speed point.
[0012] In a second aspect, the present application provides an apparatus for determining air conditioner noise, including: a first control module for controlling the air conditioner to operate under a target working condition and within a preset rotation speed range, where the target working condition is any one of a plurality of preset working conditions of the air conditioner; a collection module for collecting noise data generated by the air conditioner during the operation of the motor within the preset rotation speed range; and a first processing module for performing spectrum analysis on the collected noise data and determining the target rotation speed point corresponding to the target noise type from the spectrum analysis, where there is a noise peak value in the spectrum analysis of the target rotation speed point and the corresponding target noise spectrum frequency.
[0013] In a third aspect, the present application provides an air conditioning device, comprising: at least one communication interface; at least one bus connected to the at least one communication interface; at least one processor connected to the at least one bus; and at least one memory connected to the at least one bus, wherein the processor is configured to execute the method for determining the air conditioning noise described in the first aspect of the present application above.
[0014] In a fourth aspect, the present application further provides a computer storage medium storing computer-executable instructions for executing the method for determining the air conditioning noise described in the first aspect of the present application above.
[0015] The above technical solutions provided by the embodiments of the present application have the following advantages compared with the prior art: The method provided by the embodiments of the present application controls the air conditioner to operate at different speeds under different working conditions, and then collects the corresponding noise data during the operation, and performs spectral analysis on the noise data to determine the speed points corresponding to the noise peak values under different noise types. It can be seen that in the embodiments of the present application, the speed points corresponding to the noise peak values under different working conditions can be identified, and then when controlling the operation of the air conditioner subsequently, noise control can be performed according to different noise types and the determined speed points, so as to improve the user experience of users when using the air conditioner. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] The accompanying drawings herein are incorporated into the specification and constitute a part of the specification, showing embodiments consistent with the present invention and used together with the specification to explain the principles of the present invention.
[0017] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the accompanying drawings required for use in the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, other drawings can also be obtained based on these drawings without creative efforts.
[0018] One or more embodiments are exemplarily illustrated by the pictures in the corresponding accompanying drawings. These exemplary illustrations do not constitute limitations on the embodiments. Elements with the same reference numerals in the drawings are represented as similar elements, unless otherwise stated, and the drawings in the drawings do not constitute a proportional limitation.
[0019] Figure 1 It is a flowchart of a method for determining the air conditioning noise provided by the embodiments of the present application; Figure 2 It is one of the schematic diagrams of spectral analysis for controlling the carrier frequency noise provided by the embodiments of the present application; Figure 3 It is the second schematic diagram of spectral analysis for controlling the carrier frequency noise provided by the embodiments of the present application; Figure 4 Schematic diagram of spectral analysis of motor rotation noise provided by an embodiment of the present application; Figure 5 Schematic diagram of spectral analysis of motor electromagnetic noise provided by an embodiment of the present application; Figure 6 Schematic diagram of control method for air conditioner noise provided by an embodiment of the present application; Figure 7 Schematic diagram of the structure of a device for determining air conditioner noise provided by an embodiment of the present application; Figure 8 Schematic diagram of the structure of an air conditioner device provided by an embodiment of the present application. Detailed implementation manners
[0020] To make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Apparently, the described embodiments are some but not all of the embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present application without creative efforts shall fall within the protection scope of the present application.
[0021] The following disclosure provides many different embodiments or examples for implementing different structures of the present invention. To simplify the disclosure of the present invention, components and settings of specific examples are described below. Of course, they are only examples and are not intended to limit the present invention. In addition, the present invention may repeat reference numerals and / or letters in different examples. This repetition is for the purpose of simplification and clarity, and does not in itself indicate the relationship between the various embodiments and / or settings discussed.
[0022] It should be noted that due to different outdoor environmental conditions, such as air density, humidity, or fouling, etc., it has an impact on the air conditioner fan blade, the vibration of the motor fan system, and the operating power. For example, at low temperatures, the air density is relatively large and the humidity is high. When the motor operates, the resistance of driving the fan blade is relatively large, which in turn leads to an increase in the motor power. At high temperatures, the air density is small and the humidity is low. When the motor operates, the resistance of driving the fan blade is small, and thus the motor power is relatively small. Therefore, in an unfixed environment and different working conditions, the air affects the operating power and current of the motor, and further affects the vibration and noise during the operation of the air conditioner motor.
[0023] To solve the problem in the prior art that under different working conditions, the variable-frequency air conditioner motor will perform stepless speed regulation, and it is difficult to identify the speed points with noise problems due to the random use of speed points, the present application provides a method for determining air conditioner noise, as Figure 1 shown, the steps of this method include: Step 101, control the air conditioner to operate under the target working condition and within the preset speed range; wherein, the target working condition is any one of multiple preset working conditions of the air conditioner; In the embodiment of the present application, the multiple preset working conditions may include: nominal heating condition at 7°C, nominal cooling condition at 35°C, low temperature condition at -7°C, and high temperature cooling condition at 48°C; wherein, nominal refers to the rated working condition in the factory mode of the air conditioner. In addition, the preset speed range refers to the speed range of the motor in the air conditioner, such as 300 - 800 revolutions per minute.
[0024] Step 102, during the operation of the motor within the preset speed range, collect the noise data generated by the air conditioner; In the embodiment of the present application, noise data can be collected every 10 revolutions. Because the noise decibel levels caused by relatively close revolutions are quite similar, noise data can be collected at certain intervals of revolutions, which can not only improve the efficiency of noise data collection but also have less impact on subsequent results. For example, if the current preset speed range is 300 - 800 revolutions per minute, noise data is collected once at 300 revolutions, once at 310 revolutions, and so on, collecting noise data once every 10 revolutions.
[0025] Step 103, perform spectral analysis on the collected noise data, and determine the target speed point corresponding to the target noise type from the spectral analysis, where there is a noise peak value in the spectral analysis of the target speed point and the corresponding target noise spectral frequency.
[0026] In the embodiment of the present application, the noise types may include carrier frequency noise, motor rotation noise, and motor electromagnetic noise. That is, the target noise type can be one of them; that is to say, performing spectral analysis on the collected noise data means performing spectral analysis on the noise data of these three noise types to determine the noise spectral frequencies and corresponding speed points where noise appears under each noise type.
[0027] Through the above steps 101 to 103, control the air conditioner to operate at different speeds under different working conditions, and then collect the corresponding noise data during the operation, and perform spectral analysis on the noise data to determine the speed points corresponding to the noise peak values under different noise types. It can be seen that in the embodiment of the present application, the speed points corresponding to the noise peak values under different working conditions can be identified, and then during subsequent control of the air conditioner operation, noise control can be performed according to different noise types and the determined speed points to improve the user experience when the user uses the air conditioner.
[0028] In an alternative embodiment of the present application, when the target noise type is carrier frequency noise or motor electromagnetic noise, for the method of performing spectrum analysis on the collected noise data in step 103 and determining the target rotation speed point corresponding to the target noise type from the spectrum analysis, it may further include: Step 11: Determine, according to the collected noise data, a plurality of spectrum analysis diagrams corresponding to a plurality of noise spectral frequencies at each rotation speed point, where the spectrum analysis diagram represents the mapping relationship between the noise spectral frequency and the noise decibel; Step 12: Determine a target spectrum analysis diagram having a peak frequency of the noise spectrum from the plurality of spectrum analysis diagrams, and determine the target noise spectral frequency corresponding to the target spectrum analysis diagram; Step 13: Determine the rotation speed point corresponding to the target noise spectral frequency as the target rotation speed point.
[0029] In the embodiment of the present application, the rotation speed points separated by a certain number of revolutions can be used as the rotation speed points for collecting noise data. For example, the noise data at the current noise spectral frequency is collected every 10 revolutions or every 15 revolutions. In this way, when the preset rotation speed range is large, it can not only improve the efficiency of collecting noise data, but also does not affect the accuracy of the final required result.
[0030] In this regard, when the target noise type is carrier frequency noise, if it is known in advance that there are rotation speed points with large noise and the corresponding noise spectral frequencies, then the operation at these noise spectral frequencies can be avoided during the subsequent operation of the air conditioner to reduce the noise and meet the user's requirements. Therefore, in the embodiment of the present application, when the motor of the air conditioner operates at the target rotation speed point, the air conditioner main board can be controlled to operate at other noise spectral frequencies except the target noise spectral frequency.
[0031] Specifically, when the target noise type is carrier frequency noise, as Figure 2 and Figure 3 shown, obvious peak values appear at a noise spectral frequency of 8 KHz and a noise spectral frequency of 10 KHz, indicating that unacceptable noise will occur at a noise spectral frequency of 8 KHz or 10 KHz at this rotation speed. Therefore, during the subsequent operation of the air conditioner, the noise spectral frequencies of 8 KHz or 10 KHz can be avoided through the implemented analysis at this rotation speed. For example, it can be switched to a high carrier frequency program above 16 KHz to ensure that the noise at this rotation speed point is acceptable.
[0032] For the case where the target noise type is motor electromagnetic noise, the motor control parameters can be adjusted to reduce the noise at the current rotational speed. That is, when the target noise type is motor electromagnetic noise, the target parameters can be adjusted to determine the target parameters with the optimal noise spectrum at the target noise spectrum frequency, where the target parameters include the speed loop, the current loop, and the compensation parameter.
[0033] It should be noted that the speed loop is a feedback control system used to regulate the speed of the controlled object so that it tracks the given speed reference signal. It measures the current speed, compares it with the target speed, and then adjusts the control signal according to the error to achieve a stable speed output. The current loop is a feedback control system used to regulate the current of the controlled object so that it tracks the given current reference signal. It measures the actual current, compares it with the target current, and then adjusts the control signal according to the error to achieve a stable current output. The compensation parameter is used to correct the system error to ensure that the actual operating state of the motor is consistent with the control target.
[0034] Specifically, 10 combinations can be set for the three target parameters, such as X = X1~X10, Y = Y1~Y10, Z = Z1~Z10, to try to optimize the amplitudes of the 5th and 7th harmonics of the motor winding current. Select the best-performing group within 10 groups, and the corresponding noise spectrum frequency is significantly reduced. Finally, this group of combinations is set in the control software. As Figure 4 shown, when the rotational speed N = 500 revolutions per minute, the noise before optimization is significantly higher than that after optimization, and the peak value of the noise after optimization at 500 Hz is significantly lower than that before optimization.
[0035] It should be noted that in other application scenarios, corresponding combinations can be set according to actual needs, and the above is only an example. In addition, the 5th and 7th harmonics of the motor refer to the harmonic components with frequencies 5 times and 7 times the fundamental frequency in the current or voltage during the operation of the motor. These harmonics are caused by the non-linear characteristics inside the motor or the harmonic pollution of the external power supply. Further, because the 5th and 7th harmonics have a greater impact on the noise, the 5th and 7th harmonics are emphasized in the embodiments of the present application.
[0036] In the embodiments of the present application, for motor electromagnetic noise, the noise can also be controlled by optimizing the dead time. The dead time includes the low dead time and the high dead time. For example, if the dead time is 1~4 μs, the low dead time is 1~2 μs, and the high dead time is 2~4 μs. That is, usually, the low dead time and the high dead time each account for half of the dead time. The dead time refers to the time period when the system generates a corresponding output or response after receiving an input signal, such as the on-off time of the upper and lower bridges of the hardware. The function of the dead time is to filter out noise or jitter or improve the system stability.
[0037] Based on this, in the embodiments of the present application, the air conditioner can be controlled to adaptively adjust within a low dead time to reduce low-frequency noise, or the air conditioner can be controlled to adaptively adjust within a high dead time to improve the carrying capacity of the air conditioner under different working conditions. That is, in an environment with high noise requirements, a low dead time is adopted, and it can be adaptively adjusted between 1-2 μs to optimize the low-frequency noise below 500 Hz of the motor. For an environment with high requirements for system operation stability, it can be adaptively adjusted between 2-4 μs to reduce the burden on the processor module, save module resources, and improve the carrying capacity of the system under different working conditions.
[0038] In the embodiments of the present application, when the target noise type is motor rotation noise, for the method of performing spectrum analysis on the collected noise data and determining the target rotation speed point corresponding to the target noise type from the spectrum analysis in step 103 above, it can further include: Step 21, determining a plurality of corresponding noise spectrum frequencies based on a plurality of rotation speed points within a preset rotation speed range and the number of motor blades; Step 22, determining a spectrum analysis diagram corresponding to the plurality of noise spectrum frequencies according to the collected noise data; Step 23, when a peak peak appears in the spectrum analysis diagram, determining the target noise spectrum frequency corresponding to the peak peak; Step 24, determining the rotation speed point corresponding to the noise spectrum frequency as the target rotation speed point.
[0039] It can be seen that in the embodiments of the present application for motor rotation noise, the noise spectrum frequency is related to the rotation speed and the number of motor blades. Specifically, the noise spectrum frequency = k*(N*number of blades / 60) Hz, where k is a conventional coefficient and N is the rotation speed. Taking the motor rotation speed of 440 revolutions and the number of wind blade blades of 3 as an example, the corresponding noise spectrum frequency is 440 Hz, specifically as Figure 5 shown, there is an obvious peak peak at the corresponding 440 Hz. Therefore, during the subsequent operation of the air conditioner, the corresponding rotation speed of 400 can be blocked to ensure that the noise is within an acceptable range.
[0040] The following combines the specific implementation manners of the embodiments of the present application to explain the present application. The specific implementation manner provides an air conditioner noise control method, such as Figure 6 shown, first test the noise data at each rotation speed point of the motor according to different environmental working conditions, then analyze different noise types according to the noise data, and then perform scheme processing for different noise types. The implementation scheme is as follows, for example, the nominal 7°C heating working condition.
[0041] Then, the main board controls the motor to run at a speed range of Nx - Ny, for example, 300 - 800 revolutions per minute, from low to high, running once every 10 revolutions. A noise data is collected every 10 revolutions. After the collection is completed, the spectrum data for each speed point is analyzed and processed. Then, the noise types are analyzed by spectrum, mainly divided into 3 types, namely control carrier frequency noise, motor rotation noise, and motor electromagnetic noise.
[0042] Then, for the 3 types of noise, solutions are given respectively: 1) Control carrier frequency noise: First, identify the requirements of the air conditioner at the corresponding speed point. When the noise requirement is high, for each speed point, if noise of F1 = 5K / 8K / 10K (Hz) appears and there is an obvious peak value, the main board automatically switches to run under a high carrier frequency program above 16K to ensure that the noise at this speed point is acceptable.
[0043] 2) Motor rotation noise: For each speed point, if F2 = k * (N * number of blades / 60) Hz appears and there is an obvious peak value, this speed point will be automatically blocked and will not be sent as an instruction subsequently to ensure that the noise is acceptable.
[0044] 3) Motor electromagnetic noise: For each speed point, if F3 = 0.4 or 0.5N or others (Hz) appears and there is an obvious peak value, the main board software adjusts the control parameters, that is, optimizes the dead time, speed loop and current loop PI, and compensation parameters.
[0045] Specifically, for the dead time: it is automatically adjusted within 1 - 4 us. First, it is necessary to identify the requirements of the air conditioner at the corresponding speed point. In an environment with high noise requirements, a low dead time is adopted, and the software can adaptively adjust between 1 - 2 us to optimize the low - frequency noise below 500 Hz of the motor. In an environment with high requirements for system operation stability, the software can adaptively adjust between 2 - 4 us to reduce the burden on the processor module, save module resources, and improve the carrying capacity of the system under different working conditions.
[0046] For the speed loop and current loop PI, compensation parameters: Through the setting of three parameters, 10 groups of combinations are designed, such as X = X1~X10, Y = Y1~Y10, Z = Z1~Z10 to try to optimize the amplitudes of the 5th and 7th harmonics of the motor winding current. The best - optimized group within 10 groups is selected, and the corresponding F3 is significantly reduced. Finally, this group of combinations is set in the control software. The case is as follows: When N = 500 revolutions per minute, the blue spectrum is the noise before optimization, and the orange is the noise after optimization. The peak value at 500 Hz is significantly reduced.
[0047] It can be seen that in this application, by testing the noise data at each rotational speed point in advance or during use, performing frequency sweeping according to the minimum unit rotational speed, collecting and analyzing the data, for abnormal points, first adjusting the control parameters, further optimizing the abnormal points, improving the noise, and then for the noise points that cannot be optimized, screening the rotational speed points with qualified noise data, adopting the rotational speed point masking strategy, and controlling the main board to send instructions for the rotational speed points with qualified data, so that the motor runs without abnormal noise.
[0048] Corresponding to the above Figure 1 , the embodiment of this application also provides a device for determining air-conditioning noise, as Figure 7 shown, the device includes: The first control module 702 is used to control the air conditioner to operate under the target working condition and within the preset rotational speed range; wherein, the target working condition is any one of multiple preset working conditions of the air conditioner; The acquisition module 704 is used to acquire the noise data generated by the air conditioner during the operation of the motor within the preset rotational speed range; The first processing module 706 is used to perform spectral analysis on the acquired noise data, and determine the target rotational speed point corresponding to the target noise type from the spectral analysis, wherein there is a noise peak value in the spectral analysis of the target rotational speed point and the spectral frequency corresponding to the target noise spectrum.
[0049] Through the device of the embodiment of this application, the air conditioner is controlled to operate at different rotational speeds under different working conditions, and then the corresponding noise data is acquired during the operation, and spectral analysis is performed on the noise data to determine the rotational speed points corresponding to the noise peak values under different noise types. It can be seen that in the embodiment of this application, the rotational speed points corresponding to the noise peak values under different working conditions can be identified, and then when controlling the operation of the air conditioner subsequently, noise control can be performed according to different noise types and the determined rotational speed points, so as to improve the user experience when the user uses the air conditioner.
[0050] In an optional implementation manner of the embodiment of this application, when the target noise type is carrier frequency noise or motor electromagnetic noise, the first processing module in the embodiment of this application may further include: a first determination unit, configured to determine, according to the acquired noise data, multiple spectral analysis diagrams respectively corresponding to multiple noise spectral frequencies at each rotational speed point, wherein the spectral analysis diagram represents the mapping relationship between the noise spectral frequency and the noise decibel; a second determination unit, configured to determine a target spectral analysis diagram having a noise spectral peak frequency from the multiple spectral analysis diagrams, and determine the target noise spectral frequency corresponding to the target spectral analysis diagram; a third determination unit, configured to determine the rotational speed point corresponding to the target noise spectral frequency as the target rotational speed point.
[0051] In an alternative implementation of the embodiment of the present application, when the target noise type is motor rotation noise, the first processing module in the embodiment of the present application may further include: a fourth determination unit, configured to determine a plurality of corresponding noise spectrum frequencies based on a plurality of speed points within a preset speed range and the number of motor blades; a fifth determination unit, configured to determine a spectrogram corresponding to the plurality of noise spectrum frequencies according to the collected noise data; a sixth determination unit, configured to determine a target noise spectrum frequency corresponding to the peak value in the spectrogram when a peak value appears in the spectrogram; a seventh determination unit, configured to determine the speed point corresponding to the noise spectrum frequency as the target speed point.
[0052] In an alternative implementation of the embodiment of the present application, when the target noise type is carrier frequency noise, the device in the embodiment of the present application further includes: a second control module, configured to control the air conditioner main board to operate at other noise spectrum frequencies except the target noise spectrum frequency when the motor of the air conditioner operates at the target speed point.
[0053] In an alternative implementation of the embodiment of the present application, when the target noise type is motor electromagnetic noise, the device in the embodiment of the present application further includes: a second processing module, configured to adjust the target parameters to determine the target parameters with the optimal noise spectrum at the target noise spectrum frequency, where the target parameters include a speed loop, a current loop, and compensation parameters.
[0054] In an alternative implementation of the embodiment of the present application, the device in the embodiment of the present application further includes: a third control module, configured to control the air conditioner to adaptively adjust within a low dead time to reduce low-frequency noise, or control the air conditioner to adaptively adjust within a high dead time to improve the carrying capacity of the air conditioner under different working conditions.
[0055] In an alternative implementation of the embodiment of the present application, the device in the embodiment of the present application further includes: a fourth control module, configured to control the air conditioner to operate at other speed points except the target speed point.
[0056] As Figure 8 shown, the embodiment of the present application provides an air conditioner device, including a processor 811, a communication interface 812, a memory 813, and a communication bus 814, where the processor 811, the communication interface 812, and the memory 813 complete mutual communication through the communication bus 814. The memory 813 is used to store a computer program. In an embodiment of the present application, when the processor 811 executes the program stored on the memory 813, it implements the method for determining air conditioner noise provided in any one of the foregoing method embodiments, and the functions it performs are similar, so details are not described herein again.
[0057] An embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method for determining the air conditioner noise provided in any one of the foregoing method embodiments are implemented.
[0058] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0059] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the essence of the above technical solution, or the part that contributes to the related technology, can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.
[0060] It should be understood that the terms used herein are only for the purpose of describing specific example embodiments and are not intended to be limiting. Unless the context clearly indicates otherwise, the singular forms "a", "an", and "the" as used herein may also include the plural forms. The terms "include", "comprise", "contain", and "have" are inclusive and thus specify the presence of the stated features, steps, operations, elements, and / or components, but do not preclude the presence or addition of one or more other features, steps, operations, elements, components, and / or their combinations. The method steps, processes, and operations described herein are not to be construed as necessarily requiring them to be executed in the particular order described or illustrated, unless the execution order is clearly stated. It should also be understood that additional or alternative steps can be used.
[0061] The above are only specific embodiments of the present invention, enabling those skilled in the art to understand or implement the present invention. Various modifications to these embodiments will be obvious to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features claimed herein.
Claims
1. A method for determining the noise of an air conditioner, characterized in that, including: controlling the air conditioner to operate under a target operating condition and within a preset speed range; wherein, the target operating condition is any one of a plurality of preset operating conditions of the air conditioner; collecting the noise data generated by the air conditioner during the operation of the motor within the preset speed range; performing spectrum analysis on the collected noise data, and determining a target speed point corresponding to a target noise type from the spectrum analysis, wherein there is a noise peak value in the spectrum analysis of the target speed point and the corresponding target noise spectrum frequency.
2. The method according to claim 1, characterized in that, When the target noise type is carrier frequency noise or motor electromagnetic noise, performing spectrum analysis on the collected noise data, and determining a target speed point corresponding to the target noise type from the spectrum analysis includes: determining, according to the collected noise data, a plurality of spectrum analysis diagrams respectively corresponding to a plurality of noise spectrum frequencies at each speed point, wherein the spectrum analysis diagram represents the mapping relationship between the noise spectrum frequency and the noise decibel; determining a target spectrum analysis diagram having a peak frequency of the noise spectrum from the plurality of spectrum analysis diagrams, and determining a target noise spectrum frequency corresponding to the target spectrum analysis diagram; determining the speed point corresponding to the target noise spectrum frequency as the target speed point.
3. The method according to claim 1, characterized in that, When the target noise type is motor rotation noise, performing spectrum analysis on the collected noise data, and determining a target speed point corresponding to the target noise type from the spectrum analysis includes: determining a plurality of corresponding noise spectrum frequencies based on a plurality of speed points within the preset speed range and the number of motor blades; determining a spectrum analysis diagram corresponding to the plurality of noise spectrum frequencies according to the collected noise data; when there is a peak value in the spectrum analysis diagram, determining a target noise spectrum frequency corresponding to the peak value; determining the speed point corresponding to the noise spectrum frequency as the target speed point.
4. The method according to claim 2, characterized in that, When the target noise type is carrier frequency noise, the method further includes: when the motor of the air conditioner operates at the target speed point, controlling the main board of the air conditioner to operate at other noise spectrum frequencies except the target noise spectrum frequency.
5. The method according to claim 2, wherein When the target noise type is motor electromagnetic noise, the method further includes: adjusting target parameters to determine target parameters with the optimal noise spectrum at the target noise spectrum frequency, wherein the target parameters include a speed loop, a current loop, and compensation parameters.
6. The method according to claim 2, characterized in that, The method further includes: controlling the air conditioner to adaptively adjust within a low dead time to reduce low-frequency noise, or controlling the air conditioner to adaptively adjust within a high dead time to improve the carrying capacity of the air conditioner under different operating conditions.
7. The method according to claim 3, wherein The method further includes: controlling the air conditioner to operate at other speed points except the target speed point.
8. An apparatus for determining air conditioner noise, characterized in that, including: a first control module, configured to control the air conditioner to operate under a target operating condition and within a preset speed range; wherein, the target operating condition is any one of a plurality of preset operating conditions of the air conditioner; a collection module, configured to collect the noise data generated by the air conditioner during the operation of the motor within the preset speed range; A first processing module, configured to perform spectrum analysis on the collected noise data, and determine a target rotation speed point corresponding to a target noise type from the spectrum analysis, wherein there is a noise spike peak in the spectrum analysis of the target rotation speed point and the corresponding target noise spectrum frequency.
9. An air conditioning device, comprising: At least one communication interface; At least one bus connected to the at least one communication interface; At least one processor connected to the at least one bus; At least one memory connected to the at least one bus, wherein the processor is configured to execute the method for determining air conditioner noise according to any one of claims 1 to 7 above.
10. A computer storage medium storing computer-executable instructions for executing the method for determining air conditioner noise according to any one of claims 1 to 7 above.
Citation Information
Patent Citations
Fan control method capable of effectively reducing noise, fan and air conditioning unit
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Noise type identification method, air conditioner and computer readable storage medium
CN113883672A
Vehicle motor noise optimization method and device, equipment and storage medium
CN118833074A
Servo motor operation noise suppression method and system and computer readable storage medium
CN118868721A
Motor drive
JP2013247739A