Method and device for determining air conditioning noise, air conditioning equipment and storage medium

Abstract

The present application relates to a method and apparatus for determining air conditioner noise, air conditioner equipment, and storage medium, wherein the method comprises: controlling the air conditioner to operate in a target operating condition and within a preset speed range; wherein the target operating condition is any operating condition under a plurality of preset operating conditions of the air conditioner; collecting noise data generated by the air conditioner while the motor is operating within the preset speed range; performing spectrum analysis on the collected noise data, and determining a target speed point corresponding to the target noise type from the spectrum analysis, wherein a noise spike peak value exists in the spectrum analysis of the target speed point and the corresponding target noise spectrum frequency. Through the present application, the problem in the prior art that variable frequency air conditioner motors all have stepless speed regulation under different operating conditions and the speed points are randomly used, resulting in the speed point with noise problems being difficult to identify.

Description

Technical Field

[0001] The present application relates to the field of air conditioning technology, and in particular to a method and device for determining air conditioning noise, air conditioning equipment, and a storage medium. Background Art

[0002] Air conditioners are currently used in a variety of ambient temperatures, most commonly in nominal heating, nominal cooling, low-temperature heating, and high-temperature cooling conditions. Under these conditions, variable-frequency air conditioner motors utilize stepless speed regulation, with random speed points used. This makes it difficult to identify the speed point causing noise issues.

[0003] There is currently no effective solution to the above technical problems in the prior art. Summary of the Invention

[0004] The present application provides a method and device for determining air conditioning noise, air conditioning equipment and storage medium to solve the problem in the prior art that under different working conditions, the variable frequency air conditioning motor will have stepless speed regulation, and the speed points are used randomly, resulting in the speed points with noise problems being difficult to identify.

[0005] In a first aspect, the present application provides a method for determining air conditioning noise, comprising: controlling the air conditioner to operate in 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 noise data generated by the air conditioner during operation of the motor within the preset speed range; performing spectral analysis on the collected noise data, and determining a target speed point corresponding to a target noise type from the spectral analysis, wherein a noise spike peak value exists 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: determining, based on the collected noise data, multiple spectrum analysis graphs corresponding to multiple noise spectrum frequencies at each speed point, wherein the spectrum analysis graphs represent the mapping relationship between noise spectrum frequencies and noise decibels; determining a target spectrum analysis graph having a noise spectrum peak frequency from the multiple spectrum analysis graphs, and determining the target noise spectrum frequency corresponding to the target spectrum analysis graph; and 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 spectral analysis on the collected noise data, and determining the target speed point corresponding to the target noise type from the spectral analysis includes: determining the corresponding multiple noise spectrum frequencies based on multiple speed points and the number of motor blades within the preset speed range; determining the spectrum analysis graph corresponding to the multiple noise spectrum frequencies based on the collected noise data; when a peak value appears in the spectrum analysis graph, determining the target noise spectrum frequency corresponding to the peak value; and determining the speed point corresponding to the noise spectrum frequency as the target speed point.

[0008] Optionally, when the target noise type is carrier frequency noise, the method further includes: when the motor of the air conditioner is operating at the target speed point, controlling the air conditioner mainboard 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 optimal noise spectrum at the target noise spectrum frequency, wherein the target parameters include speed loop, current loop and compensation parameters.

[0010] Optionally, the method further includes: controlling the air conditioner to adaptively adjust within a low dead zone time to reduce low-frequency noise, or controlling the air conditioner to adaptively adjust within a high dead zone 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 other speed points other than the target speed point.

[0012] In the second aspect, the present application provides a device for determining air conditioning noise, including: a first control module, used to control the air conditioner to operate in a target operating condition and within a preset speed range; wherein, the target operating condition is any operating condition under multiple preset operating conditions of the air conditioner; an acquisition module, used to collect noise data generated by the air conditioner during the operation of the motor within the preset speed range; a first processing module, used to perform spectral analysis on the collected noise data, and determine the target 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 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.

[0014] In a fourth aspect, the present application further provides a computer storage medium storing computer executable instructions, wherein the computer executable instructions are used to execute the method for determining the air conditioning noise described in the first aspect of the present application.

[0015] The technical solution provided by the embodiments of the present application has the following advantages over the prior art: The method provided by the embodiments of the present application controls the air conditioner to operate at different speeds under different operating conditions, collects corresponding noise data during operation, and performs spectrum analysis on the noise data to determine the speed points corresponding to the peak values of noise spikes under different noise types. It can be seen that the speed points corresponding to the peak values of noise spikes under different operating conditions can be identified in the embodiments of the present application. Subsequently, when controlling the operation of the air conditioner, noise control can be performed based on the different noise types and the determined speed points, thereby improving the user experience when using the air conditioner. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0018] One or more embodiments are exemplarily illustrated by pictures in the corresponding drawings. These exemplifications do not constitute limitations on the embodiments. Elements with the same reference numerals in the drawings are represented as similar elements. Unless otherwise stated, the figures in the drawings do not constitute proportional limitations.

[0019] Figure 1 A flowchart of a method for determining air conditioning noise provided in an embodiment of the present application;

[0020] Figure 2 This is one of the spectrum analysis diagrams for controlling carrier frequency noise provided in an embodiment of the present application;

[0021] Figure 3The second schematic diagram of spectrum analysis for controlling carrier frequency noise provided in an embodiment of the present application;

[0022] Figure 4 A schematic diagram of the spectrum analysis of the motor rotation noise provided in an embodiment of the present application;

[0023] Figure 5 A schematic diagram of the spectrum analysis of the electromagnetic noise of the motor provided in an embodiment of the present application;

[0024] Figure 6 A schematic diagram of a method for controlling air conditioning noise according to an embodiment of the present application;

[0025] Figure 7 A schematic diagram of the structure of an apparatus for determining air conditioning noise provided in an embodiment of the present application;

[0026] Figure 8 A schematic diagram of the structure of the air-conditioning equipment provided in an embodiment of the present application. DETAILED DESCRIPTION

[0027] To make the purpose, technical solutions, and advantages of the embodiments of this application more clear, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0028] The disclosure below provides many different embodiments or examples for implementing different configurations of the present invention. To simplify the disclosure of the present invention, the components and configurations of specific examples are described below. Of course, these are merely 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. Such repetition is for the purpose of simplicity and clarity and does not in itself indicate the relationship between the various embodiments and / or configurations discussed.

[0029] It's important to note that varying outdoor environmental conditions, such as air density, humidity, and dirt and blockage, can affect the vibration and operating power of the air conditioner's fan blades and motor-fan system. For example, at low temperatures, the air density and humidity are higher, resulting in greater resistance to the fan blades during motor operation, which in turn increases motor power. At high temperatures, the air density and humidity are lower, resulting in less resistance to the fan blades during motor operation, and thus, relatively lower motor power. Therefore, in varying environments and operating conditions, air affects the motor's operating power and current, which in turn influences the vibration and noise of the air conditioner's motor.

[0030] In order to solve the problem in the prior art that variable frequency air conditioner motors all have stepless speed regulation under different working conditions, and the speed points are used randomly, resulting in the speed points with noise problems being difficult to identify, the present application provides a method for determining air conditioner noise, such as Figure 1 As shown, the steps of the method include:

[0031] Step 101, controlling the air conditioner to operate in 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;

[0032] In this embodiment of the present application, the multiple preset operating conditions may include: nominal 7°C heating condition, nominal 35°C cooling condition, low-temperature -7°C condition, and high-temperature 48°C cooling condition. The term "nominal" refers to the rated operating condition of the air conditioner in factory mode. Furthermore, the preset speed range refers to the speed range of the air conditioner's motor, such as 300-800 rpm.

[0033] Step 102: collecting noise data generated by the air conditioner while the motor is running within a preset speed range;

[0034] In the embodiment of the present application, noise data can be collected every 10 revolutions. Because the noise decibel level is similar when the speeds are close together, noise data can be collected at certain intervals. This not only improves the efficiency of noise data collection but also minimizes the impact on subsequent results. For example, if the current preset speed range is 300-800 rpm, noise data can be collected once at 300 rpm, once at 310 rpm, and so on, with noise data collected every 10 revolutions.

[0035] Step 103 , performing spectrum analysis on the collected noise data, and determining a target speed point corresponding to the target noise type from the spectrum analysis, wherein a noise peak exists in the spectrum analysis between the target speed point and the corresponding target noise spectrum frequency.

[0036] 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 may be one of these types. In other words, performing spectrum analysis on the collected noise data refers to performing spectrum analysis on the noise data of the three noise types to determine the noise spectrum frequency and corresponding rotational speed point at which the noise occurs under each noise type.

[0037] Through steps 101 to 103, the air conditioner is controlled to operate at different speeds under different operating conditions, and corresponding noise data is collected during operation. Spectral analysis of the noise data is performed to determine the speed points corresponding to the peak values of noise spikes under different noise types. It can be seen that in the embodiment of the present application, the speed points corresponding to the peak values of noise spikes under different operating conditions can be identified. Subsequently, when controlling the operation of the air conditioner, noise control can be performed based on the different noise types and the determined speed points, thereby improving the user experience when using the air conditioner.

[0038] In an optional implementation manner of the embodiment of the present application, when the target noise type is carrier frequency noise or motor electromagnetic noise, the method of performing spectrum analysis on the collected noise data involved in the above step 103 and determining the target speed point corresponding to the target noise type from the spectrum analysis may further include:

[0039] Step 11: determining, based on the collected noise data, a plurality of spectrum analysis graphs corresponding to a plurality of noise spectrum frequencies at each speed point, wherein the spectrum analysis graphs represent a mapping relationship between noise spectrum frequencies and noise decibels;

[0040] Step 12: determining a target spectrum analysis graph having a noise spectrum peak frequency from the plurality of spectrum analysis graphs, and determining a target noise spectrum frequency corresponding to the target spectrum analysis graph;

[0041] Step 13: Determine the speed point corresponding to the target noise spectrum frequency as the target speed point.

[0042] In an embodiment of the present application, speed points separated by a certain number of revolutions can be used as speed points for collecting noise data, such as collecting noise data at the current noise spectrum frequency every 10 revolutions or every 15 revolutions. This not only improves the efficiency of collecting noise data when the preset speed range is large, but also does not affect the accuracy of the final required result.

[0043] In this regard, if the target noise type is carrier frequency noise, if the speed point with the highest noise and the corresponding noise spectrum frequency are known in advance, the air conditioner can avoid operating at this noise spectrum frequency during subsequent operation to reduce noise and meet user needs. Therefore, in this embodiment of the application, when the air conditioner motor is operating at the target speed point, the air conditioner mainboard can be controlled to operate at a noise spectrum frequency other than the target noise spectrum frequency.

[0044] Specifically, when the target noise type is carrier frequency noise, such as Figure 2 and Figure 3As shown in the figure, obvious spike peaks appear when the noise spectrum frequency is 8KHz and the noise spectrum frequency is 10KHz, indicating that unacceptable noise will occur at this speed for the noise spectrum frequency of 8KHz or 10KHz. Therefore, in the subsequent air-conditioning operation process, the noise spectrum frequency of 8KHz or 10KHz can be avoided at this speed through analysis. For example, it can be switched to a high carrier frequency program of 16K or above to ensure that the noise at this speed point is acceptable.

[0045] If the target noise type is motor electromagnetic noise, the motor control parameters can be adjusted to reduce the noise at the current speed. Specifically, if the target noise type is motor electromagnetic noise, the target parameters can be adjusted to determine the optimal noise spectrum at the target noise spectrum frequency. The target parameters include speed loop, current loop, and compensation parameters.

[0046] It's important to note that the velocity loop is a feedback control system used to adjust the speed of the controlled object so that it tracks a given speed reference signal. It measures the current speed, compares it with the target speed, and then adjusts the control signal based on the error to achieve a stable speed output. The current loop is a feedback control system used to adjust the current of the controlled object so that it tracks a given current reference signal. It measures the actual current, compares it with the target current, and then adjusts the control signal based on the error to achieve a stable current output. Compensation parameters are used to correct system errors to ensure that the actual operating state of the motor is consistent with the control target.

[0047] Specifically, 10 combinations of the three target parameters can be set, such as X=X1~X10, Y=Y1~Y10, and Z=Z1~Z10, to try to optimize the amplitude of the motor winding current at the 5th and 7th harmonics. The one with the best optimization effect is selected from the 10 combinations, and the corresponding noise spectrum frequency is significantly reduced. This combination is finally set in the control software. Figure 4 As shown in the figure, when the speed N=500 rpm, the noise before optimization is significantly higher than that after optimization, and the peak value of the noise at 500 Hz after optimization is significantly lower than that before optimization.

[0048] It should be noted that in other application scenarios, corresponding combinations can be set according to actual needs. The above is just an example. In addition, the 5th and 7th harmonics of the motor refer to the harmonic components contained in the current or voltage when the motor is running, with frequencies 5 times and 7 times the fundamental frequency. These harmonics are caused by the nonlinear characteristics inside the motor or the harmonic pollution of the external power supply. Furthermore, because the 5th and 7th harmonics have a greater impact on noise, the 5th and 7th harmonics are emphasized in the embodiments of this application.

[0049] In an embodiment of the present application, the electromagnetic noise of the motor can also be controlled by optimizing the dead time. The dead time includes a low dead time and a high dead time. For example, if the dead time is 1~4us, the low dead time is 1~2us and the high dead time is 2~4us. That is, under normal circumstances, the low dead time and the high dead time each account for half of the dead time. Dead time refers to the time period in which 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 role of the dead time is to filter out noise or jitter or improve system stability.

[0050] Based on this, in 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 controlled to adaptively adjust within a high dead time to improve the air conditioner's carrying capacity under different operating conditions. Specifically, in environments with high noise requirements, a low dead time can be used to adaptively adjust within 1-2µs to optimize low-frequency noise below 500Hz at the motor's low frequency. In environments with high requirements for system operational stability, an adaptive adjustment within 2-4µs can be used to reduce the burden on the processor module, save module resources, and improve the system's carrying capacity under different operating conditions.

[0051] In the embodiment of the present application, when the target noise type is motor rotation noise, the method of performing spectrum analysis on the collected noise data involved in step 103 and determining the target speed point corresponding to the target noise type from the spectrum analysis may further include:

[0052] Step 21, determining corresponding multiple noise spectrum frequencies based on multiple speed points and the number of motor blades within a preset speed range;

[0053] Step 22, determining a spectrum analysis graph corresponding to a plurality of noise spectrum frequencies based on the collected noise data;

[0054] Step 23, when a peak value appears in the spectrum analysis graph, determining the target noise spectrum frequency corresponding to the peak value;

[0055] Step 24: determine the rotation speed point corresponding to the noise spectrum frequency as the target rotation speed point.

[0056] It can be seen that in the embodiment of the present application, for the motor rotation noise, the noise spectrum frequency is related to the speed and the number of motor blades. Specifically, it can be noise spectrum frequency = k*(N*number of blades / 60)Hz, where k is the conventional coefficient and N is the speed. For example, if the motor speed is 440 rpm and the number of fan blades is 3, the corresponding noise spectrum frequency is 440Hz. Specifically, Figure 5 As shown in the figure, there is an obvious peak value at the corresponding 440Hz. Therefore, the corresponding speed of 400 can be shielded during the subsequent operation of the air conditioner to ensure that the noise is within an acceptable range.

[0057] The present application is explained below in conjunction with the specific implementation of the embodiment of the present application. The specific implementation provides an air conditioning noise control method, such as Figure 6 As shown, first test the noise data at various motor speed points according to different environmental conditions, then analyze different noise types based on the noise data, and then develop solutions for different noise types. The implementation plan is as follows, for example, the nominal 7°C heating condition.

[0058] The mainboard then controls the motor, running it every 10 revolutions from low to high within the speed range Nx-Ny (e.g., 300-800 rpm). Noise data is collected every 10 revolutions. After acquisition, the spectrum data for each speed point is analyzed and processed. Spectral analysis then identifies noise types, which are primarily categorized as control carrier frequency noise, motor rotation noise, and motor electromagnetic noise.

[0059] Then, solutions are given for three types of noise:

[0060] 1) Control carrier frequency noise: First, identify the air conditioner's requirements at the corresponding speed point. For example, when the noise requirement is high, for each speed point, if F1=5K / 8K / 10K (Hz) noise occurs with obvious peak values, the motherboard will automatically switch to a high carrier frequency program of 16K or above to ensure that the noise at this speed point is acceptable.

[0061] 2) Motor rotation noise: For each speed point, if F2=k*(N*number of blades / 60)Hz appears with obvious spikes, this speed point will be automatically blocked and will not be sent as a command subsequently to ensure acceptable noise.

[0062] 3) Motor electromagnetic noise: For each speed point, if F3 = 0.4 or 0.5N or other (Hz) and there are obvious peaks, the mainboard software adjusts the control parameters, that is, optimizes the dead time, speed loop and current loop PI, and compensation parameters.

[0063] Specifically, the dead time automatically adjusts within 1-4µs. This first requires identifying the air conditioner's needs at the corresponding speed point. In environments with high noise requirements, a low dead time is used. The software can adaptively adjust within 1-2µs to optimize low-frequency motor noise below 500Hz. In environments with high system stability requirements, the software can adaptively adjust within 2-4µs to reduce the processor module's burden, save module resources, and improve the system's carrying capacity under different operating conditions.

[0064] For the speed and current loop PI compensation parameters, we designed 10 combinations (e.g., X=X1-X10, Y=Y1-Y10, and Z=Z1-Z10) by setting three parameters. This allowed us to optimize the amplitudes of the motor winding current at the 5th and 7th harmonics. The best combination, resulting in a significant reduction in F3, was selected from the 10 combinations. This combination was then set in the control software. The following example shows the noise spectrum before and after optimization at N=500 rpm. The peak at 500 Hz was significantly reduced.

[0065] It can be seen that in this application, by testing the noise data at each speed point in advance or during use, performing frequency sweeping according to the minimum unit speed, and collecting data for analysis and processing, for abnormal points, first adjust the control parameters, further optimize the abnormal points, improve the noise, and then for the noise points that cannot be optimized, screen the speed points with qualified noise data, shield the speed point strategy, and control the mainboard to send speed point instructions with qualified data, so that the motor can run without abnormal noise.

[0066] Corresponding to the above Figure 1 , the embodiment of the present application also provides a device for determining air conditioning noise, such as Figure 7 As shown, the device includes:

[0067] The first control module 702 is used to control the air conditioner to operate in 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;

[0068] The acquisition module 704 is used to collect noise data generated by the air conditioner when the motor is running within a preset speed range;

[0069] The first processing module 706 is configured to perform spectrum analysis on the collected noise data and determine a target speed point corresponding to a target noise type from the spectrum analysis, wherein a noise peak exists in the spectrum analysis between the target speed point and the corresponding target noise spectrum frequency.

[0070] By using the device of the embodiment of the present application, an air conditioner is controlled to operate at different speeds under different operating conditions, and corresponding noise data is collected during operation. Spectral analysis of the noise data is then performed to determine the speed points corresponding to the peak values of noise spikes under different noise types. It can be seen that the speed points corresponding to the peak values of noise spikes under different operating conditions can be identified in the embodiment of the present application. Subsequently, when controlling the operation of the air conditioner, noise control can be performed based on the different noise types and the determined speed points, thereby improving the user experience when using the air conditioner.

[0071] In an optional implementation manner of an embodiment of the present application, when the target noise type is carrier frequency noise or motor electromagnetic noise, the first processing module in the embodiment of the present application may further include: a first determination unit, for determining, based on the collected noise data, multiple spectrum analysis graphs corresponding to multiple noise spectrum frequencies at each speed point, wherein the spectrum analysis graph represents the mapping relationship between noise spectrum frequency and noise decibels; a second determination unit, for determining a target spectrum analysis graph having a noise spectrum peak frequency from multiple spectrum analysis graphs, and determining a target noise spectrum frequency corresponding to the target spectrum analysis graph; a third determination unit, for determining the speed point corresponding to the target noise spectrum frequency as the target speed point.

[0072] In an optional implementation manner of an 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, for determining a corresponding plurality of noise spectrum frequencies based on a plurality of speed points and the number of motor blades within a preset speed range; a fifth determination unit, for determining a spectrum analysis graph corresponding to a plurality of noise spectrum frequencies based on the collected noise data; a sixth determination unit, for determining the target noise spectrum frequency corresponding to the peak peak when a peak peak appears in the spectrum analysis graph; and a seventh determination unit, for determining the speed point corresponding to the noise spectrum frequency as the target speed point.

[0073] In an optional implementation manner of an embodiment of the present application, when the target noise type is carrier frequency noise, the device in the embodiment of the present application also includes: a second control module, which is used to control the air conditioner mainboard to operate at other noise spectrum frequencies other than the target noise spectrum frequency when the air conditioner motor is running at the target speed point.

[0074] In an optional implementation manner of an embodiment of the present application, when the target noise type is motor electromagnetic noise, the device in the embodiment of the present application also includes: a second processing module, used to adjust the target parameters to determine the target parameters with optimal noise spectrum at the target noise spectrum frequency, wherein the target parameters include speed loop, current loop and compensation parameters.

[0075] In an optional implementation manner of an embodiment of the present application, the device in the embodiment of the present application also includes: a third control module, used to control the air conditioner to adaptively adjust within a low dead zone time to reduce low-frequency noise, or control the air conditioner to adaptively adjust within a high dead zone time to improve the carrying capacity of the air conditioner under different working conditions.

[0076] In an optional implementation manner of the embodiment of the present application, the device in the embodiment of the present application further includes: a fourth control module, which is used to control the air conditioner to operate at other speed points other than the target speed point.

[0077] like Figure 8As shown, the embodiment of the present application provides an air conditioning device, including a processor 811, a communication interface 812, a memory 813 and a communication bus 814, wherein the processor 811, the communication interface 812, and the memory 813 communicate with each other through the communication bus 814.

[0078] Memory 813, for storing computer programs;

[0079] In one embodiment of the present application, the processor 811 is used to execute the program stored in the memory 813 to implement the method for determining the air conditioning noise provided by any of the aforementioned method embodiments, and its role is similar and will not be repeated here.

[0080] An embodiment of the present application further provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of the method for determining air conditioning noise provided in any of the aforementioned method embodiments are implemented.

[0081] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of this embodiment.

[0082] Through the description of the above embodiments, those skilled in the art will clearly understand that each embodiment can be implemented using software plus a general hardware platform, or of course, hardware. Based on this understanding, the essence of the above technical solution, or the portion that contributes to the relevant technology, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, or an optical disk, and includes a number of instructions for causing a computer device (such as a personal computer, server, or network device) to execute the methods described in each embodiment or certain portions of the embodiments.

[0083] It should be understood that the terms used herein are for the purpose of describing specific example embodiments only and are not intended to be limiting. Unless the context clearly indicates otherwise, the singular forms "one", "an" and "said" as used herein may also be meant to include plural forms. The terms "comprise", "include", "contain" and "have" are inclusive and therefore specify the presence of stated features, steps, operations, elements and / or parts, but do not exclude the presence or addition of one or more other features, steps, operations, elements, parts, and / or combinations thereof. The method steps, processes, and operations described herein are not to be construed as necessarily requiring them to be performed in the specific order described or illustrated, unless the order of execution is clearly indicated. It should also be understood that additional or alternative steps may be used.

[0084] The foregoing description is intended only to provide specific embodiments of the present invention, which will enable those skilled in the art to understand and implement the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention is not intended to be limited to the embodiments shown herein, but is intended to be accorded the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A method for determining air conditioning noise, characterized in that: include: Controlling the air conditioner to operate in 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 noise data generated by the air conditioner while the motor is running within the preset speed range; Performing a spectrum analysis on the collected noise data and determining a target speed point corresponding to a target noise type from the spectrum analysis, wherein a noise peak exists in the spectrum analysis between the target speed point and the corresponding target noise spectrum frequency; The noise types include carrier frequency noise, motor rotation noise, and motor electromagnetic noise; In a case where 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, based on the collected noise data, a plurality of spectrum analysis graphs corresponding to a plurality of noise spectrum frequencies at each speed point, wherein the spectrum analysis graphs represent a mapping relationship between noise spectrum frequencies and noise decibels; determining a target spectrum analysis graph having a noise spectrum peak frequency from the plurality of spectrum analysis graphs, and determining a target noise spectrum frequency corresponding to the target spectrum analysis graph; and determining the speed point corresponding to the target noise spectrum frequency as the target speed point; In a case where the target noise type is carrier frequency noise, the method further includes: when the motor of the air conditioner is operating at the target speed point, controlling the air conditioner mainboard to operate at a noise spectrum frequency other than the target noise spectrum frequency; In the case where the target noise type is motor electromagnetic noise, the method further includes: adjusting target parameters to determine target parameters with an optimal noise spectrum at the target noise spectrum frequency, wherein the target parameters include speed loop, current loop and compensation parameters; 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; In a case where the target noise type is motor rotation noise, the method further includes: controlling the air conditioner to operate at other rotation speed points except the target rotation speed point.

2. The method according to claim 1, characterized in that In the case where the target noise type is motor rotation noise, performing spectrum analysis on the collected noise data and determining the target speed point corresponding to the target noise type from the spectrum analysis includes: Determining corresponding multiple noise spectrum frequencies based on multiple speed points and the number of motor blades within the preset speed range; Determine a spectrum analysis graph corresponding to the plurality of noise spectrum frequencies according to the collected noise data; In the case where a peak value appears in the spectrum analysis graph, determining a target noise spectrum frequency corresponding to the peak value; A rotation speed point corresponding to the noise spectrum frequency is determined as the target rotation speed point.

3. A device for determining air conditioning noise, characterized in that: include: a first control module, configured to control the air conditioner to operate in 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 noise data generated by the air conditioner when the motor is running within the preset speed range; a first processing module for performing a spectrum analysis on the collected noise data and determining a target speed point corresponding to a target noise type from the spectrum analysis, wherein a noise peak exists in the spectrum analysis between the target speed point and the corresponding target noise spectrum frequency; The noise types include carrier frequency noise, motor rotation noise, and motor electromagnetic noise; In the case where the target noise type is carrier frequency noise or motor electromagnetic noise, the first processing module includes: a first determining unit, configured to determine, based on the collected noise data, a plurality of spectrum analysis graphs corresponding to a plurality of noise spectrum frequencies at each speed point, wherein the spectrum analysis graphs represent a mapping relationship between noise spectrum frequencies and noise decibels; a second determining unit, configured to determine, from the plurality of spectrum analysis graphs, a target spectrum analysis graph having a noise spectrum peak frequency, and determine a target noise spectrum frequency corresponding to the target spectrum analysis graph; and a third determining unit, configured to determine a speed point corresponding to the target noise spectrum frequency as a target speed point; In the case where the target noise type is carrier frequency noise, the method further includes: a second control module for controlling the air conditioner mainboard 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; In the case where the target noise type is motor electromagnetic noise, the system further includes: a second processing module, configured to adjust target parameters to determine target parameters with an optimal noise spectrum at a target noise spectrum frequency, wherein the target parameters include a speed loop, a current loop, and compensation parameters; a third control module, configured to control the air conditioner to adaptively adjust within a low dead time to reduce low-frequency noise, or to 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; In the case where the target noise type is motor rotation noise, the system further includes: a fourth control module, configured to control the air conditioner to operate at other speed points except the target speed point.

4. 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 coupled 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 air conditioning noise determination method according to claim 1 or 2.

5. A computer storage medium storing computer-executable instructions, wherein the computer-executable instructions are used to execute the method for determining air-conditioning noise according to claim 1 or 2.

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