Abnormal sound recognition method and system, and electronic device

Abstract

The present disclosure provides an abnormal sound identification method, system and electronic device. The abnormal sound identification method comprises: determining whether an abnormal sound risk exists at a motor mounting point; wherein the motor mounting point is used to represent a connection point at which the motor is mounted on a motor support; in response to the abnormal sound risk existing at the motor mounting point, determining a corresponding range hood structure target point of the motor mounting point as a to-be-tested abnormal sound target point; obtaining a coupling probability of the to-be-tested abnormal sound target point, and determining a coupling abnormal sound of the to-be-tested abnormal sound target point according to the coupling probability. The present disclosure determines whether an abnormal sound risk exists at the motor mounting point on the motor support, and if the abnormal sound risk exists, obtains the coupling probability at the range hood target point corresponding to the mounting point, determines the size of the coupling abnormal sound by judging the size of the coupling probability, and simply, quickly and effectively determines the range hood abnormal sound structure target point, thereby providing convenience for the operation of the range hood, such as design, installation and maintenance.

Description

Technical Field

[0001] This invention relates to the field of range hood technology, and in particular to a method, system, and electronic device for identifying abnormal noises. Background Technology

[0002] A range hood is a complex structure composed of multiple interconnected components with varying connection methods. During operation, this complex structure is subjected to various vibrations and noises, making it extremely difficult to pinpoint the root cause of abnormal noises, and the problem is often not limited to a single component. Existing noise identification methods typically rely on spectrum analysis or other result-oriented approaches such as peak extraction. However, these methods are inefficient for real-time identification and localization, requiring data detection from the equipment for diagnosis, and relying on numerous different types of tests to pinpoint the root cause. Summary of the Invention

[0003] The technical problem to be solved by this disclosure is to overcome the shortcomings of low efficiency and complex operation of the existing technology in abnormal sound recognition, and to provide an abnormal sound recognition method, system and electronic device.

[0004] This disclosure solves the above-mentioned technical problems through the following technical solution:

[0005] This disclosure provides a method for identifying unusual sounds, the method comprising:

[0006] Determine if there is any risk of abnormal noise at the motor mounting point; wherein, the motor mounting point is used to characterize the connection point where the motor is mounted on the motor bracket;

[0007] In response to the risk of abnormal noise at the motor mounting point, the target point of the range hood structure corresponding to the motor mounting point is determined as the target point for abnormal noise to be tested;

[0008] Obtain the coupling probability of the target point of the abnormal sound to be tested, and determine the coupled abnormal sound of the target point of the abnormal sound to be tested based on the coupling probability.

[0009] Preferably, the step of determining whether there is a risk of abnormal noise at the motor mounting point includes:

[0010] In response to the excitation generated by the motor on the motor bracket, the deformation of the motor bracket is obtained;

[0011] In response to the fact that the first region of the motor bracket includes the motor mounting point, and at the same frequency, the deformation of the motor bracket simultaneously includes bending deformation and torsional deformation, then it is determined that there is a first risk of abnormal noise at the motor mounting point; wherein, the first region is used to characterize the motor bracket region where the deformation of the motor bracket is greater than a first preset deformation.

[0012] And / or,

[0013] In response to the first region of the motor bracket including the motor mounting point, and the deformation of the motor bracket including bending deformation or torsional deformation at the same frequency, if the frequency is less than the first frequency, in response to the deformation of the motor bracket being less than the second preset deformation, then there is a second risk of abnormal noise at the motor mounting point.

[0014] And / or,

[0015] In response to the first region of the motor bracket including the motor mounting point, and at the same frequency, the deformation of the motor bracket including bending deformation or torsional deformation, if the frequency is greater than or equal to the first frequency and the frequency is less than or equal to the second frequency, and the product of the response of the motor mounting point and the deformation of the motor bracket is greater than the first preset response, then there is a third risk of abnormal noise at the motor mounting point.

[0016] And / or,

[0017] In response to the motor mounting point being included in the first region of the motor bracket, and the deformation of the motor bracket including bending deformation or torsional deformation at the same frequency, if the frequency is greater than or equal to the first frequency and the frequency is less than or equal to the second frequency, and the product of the response of the motor mounting point and the deformation of the motor bracket is less than the first preset response, then there is a fourth risk of abnormal noise at the motor mounting point.

[0018] And / or,

[0019] In response to the motor mounting point being included in the first region of the motor bracket, and the deformation of the motor bracket including bending deformation or torsional deformation at the same frequency, if the frequency is greater than the second frequency, the response of the motor mounting point is greater than the second preset response, and the excitation of the motor to the motor mounting point is less than or equal to the preset excitation threshold, then there is a fifth risk of abnormal noise at the motor mounting point.

[0020] Wherein, the first frequency is less than the second frequency, the first preset deformation is greater than the second preset deformation, and the first preset response is greater than the second preset response; the first risk of abnormal sound is greater than the second risk of abnormal sound, the second risk of abnormal sound is greater than the third risk of abnormal sound, the third risk of abnormal sound is greater than the fourth risk of abnormal sound, and the fourth risk of abnormal sound is greater than the fifth risk of abnormal sound.

[0021] Preferably, the step of obtaining the coupling probability of the target point of the abnormal sound to be tested includes:

[0022] The residue of the target point of the abnormal sound is determined based on the amplitude at the natural frequency of the vibration transfer function, and the dynamic stiffness index is determined based on the reciprocal of the vibration transfer function.

[0023] When the sum of the residue and the dynamic stiffness exponent is greater than a preset peak value, the coupling probability is determined to be high.

[0024] Preferably, the step of determining the residue of the target noise point based on the amplitude at the natural frequency of the vibration transfer function, and determining the dynamic stiffness exponent based on the reciprocal of the vibration transfer function, includes the following steps before:

[0025] The vibration transfer function is determined using the following formula:

[0026] ;

[0027] ;

[0028] in, The following parameters are used to characterize the vibration transfer function: r; c; K; m; and w. L is used to characterize modal participation quality; f is used to characterize residue; f is used to characterize frequency.

[0029] Preferably, the coupling probability is positively correlated with the coupling anomaly.

[0030] Preferably, the abnormal sound recognition method further includes:

[0031] The excitation of the motor at each motor mounting point is corrected based on the following formula:

[0032] ;

[0033] in, Used to characterize the excitation of the motor by the i-th motor mounting point after correction; The term q is used to characterize the excitation of the motor at the i-th motor mounting point before correction; q is used to characterize the first correction factor. Used to characterize the excitation of the motor at the nth motor mounting point before correction;

[0034] And / or,

[0035] The response at each motor mounting point is corrected based on the following formula:

[0036] ;

[0037] in, Used to characterize the excitation of the motor by the i-th motor mounting point after correction; p is used to characterize the excitation of the motor at the i-th motor mounting point before correction; p is used to characterize the second correction factor. Used to characterize the excitation of the motor at the nth motor mounting point before correction;

[0038] The values ​​of q and p are both within the range of [0.2, 0.25].

[0039] This disclosure also provides an abnormal sound recognition system, the abnormal sound recognition system comprising:

[0040] The risk determination module is used to determine whether there is a risk of abnormal noise at the motor mounting point; wherein, the motor mounting point is used to characterize the connection point where the motor is mounted on the motor bracket;

[0041] The target determination module is used to determine the target point of the range hood structure corresponding to the motor installation point as the target point of the abnormal noise if there is a risk of abnormal noise at the motor installation point.

[0042] Anomaly recognition module is used to obtain the coupling probability of the target point of the anomaly to be tested, and to determine the coupled anomaly of the target point of the anomaly to be tested based on the coupling probability.

[0043] This disclosure also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and used to run on the processor, wherein the processor executes the computer program to implement the above-described abnormal sound recognition method.

[0044] This disclosure also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-described method for identifying unusual sounds.

[0045] This disclosure also provides a computer program product, including a computer program that, when executed by a processor, implements the above-described abnormal sound recognition method.

[0046] Based on common knowledge in the field, the above-mentioned preferred conditions can be combined arbitrarily to obtain various preferred embodiments of this disclosure.

[0047] The positive and progressive effects of this disclosure are as follows:

[0048] This disclosure proposes an abnormal noise identification method based on the performance parameter analysis of structural components such as motor brackets that generate abnormal noise. It determines whether there is a risk of abnormal noise at the installation point of the motor on the motor bracket. If there is a risk of abnormal noise, it obtains the coupling probability at the target point of the range hood corresponding to the installation point. By judging the magnitude of the coupling probability, it determines the magnitude of the coupled abnormal noise. This method can easily, quickly and effectively determine the target point of the abnormal noise structure of the range hood, thereby providing convenience for the design, installation, maintenance and other operations of the range hood. Attached Figure Description

[0049] Figure 1 A flowchart of an abnormal sound recognition method provided in Embodiment 1 of this disclosure;

[0050] Figure 2 This is a schematic diagram of the structure of an abnormal sound recognition system provided in Embodiment 2 of this disclosure;

[0051] Figure 3 This is a schematic diagram of the structure of an electronic device provided in Embodiment 3 of this disclosure. Detailed Implementation

[0052] The present disclosure is further illustrated below by way of embodiments, but the present disclosure is not limited to the scope of the embodiments described herein.

[0053] The prefixes such as "first" and "second" used in this disclosure are merely for distinguishing different descriptive objects and do not limit the position, order, priority, quantity, or content of the described objects. The use of ordinal numbers and other prefixes used to distinguish descriptive objects in this disclosure does not constitute a limitation on the described objects. The description of the described objects is given in the claims or the context of the embodiments, and should not be construed as an unnecessary limitation. Furthermore, in the description of this embodiment, unless otherwise stated, "multiple" means two or more.

[0054] Example 1

[0055] The excitation of a range hood comes from a motor, but the transmission of excitation characteristics is achieved through different structures, level by level. The connection levels are distinguished by the motor, the volute, and the entire unit. The motor is mounted on a motor bracket, so the motor bracket is the first level of transmission. At the same time, the motor bracket itself is also a structure, and structures inevitably have inherent properties, such as frequency and mode shape, which are independent of external factors and determined only by the structure itself. Therefore, when the motor excitation is transmitted to the motor bracket, the motor bracket responds. Simultaneously, the motor bracket is also the excitation source for the next level. As the excitation source for the next level, accurately identifying how much the motor bracket transmits to the next level is crucial.

[0056] This embodiment provides a method for identifying unusual sounds. See [link to relevant documentation] Figure 1 Methods for identifying unusual sounds include:

[0057] S1. Determine if there is any risk of abnormal noise at the motor installation point.

[0058] Among them, the motor mounting point is used to characterize the connection point where the motor is mounted on the motor bracket.

[0059] S2. In response to the risk of abnormal noise at the motor mounting point, the target point of the range hood structure corresponding to the motor mounting point is determined as the target point for abnormal noise to be tested.

[0060] S3. Obtain the coupling probability of the target point of the abnormal sound to be tested, and determine the coupled abnormal sound of the target point of the abnormal sound to be tested based on the coupling probability.

[0061] Specifically:

[0062] In an optional implementation, step S3 includes:

[0063] S31. Determine the residue of the target point of the abnormal sound based on the amplitude at the natural frequency of the vibration transfer function, and determine the dynamic stiffness index based on the reciprocal of the vibration transfer function.

[0064] S32. When the sum of the residue and the dynamic stiffness exponent is greater than the preset peak value, the coupling probability is determined to be high.

[0065] S33. When the sum of the residue and the dynamic stiffness exponent is less than or equal to the preset peak value, the coupling probability is determined to be small.

[0066] The preset peak value can be set according to the actual situation. In this embodiment, the preset peak value is set to 450000 (mm / s). 2 ) / N, which is 450000 (mm / second squared) / Newton.

[0067] Since the coupling probability and the coupling noise are positively correlated, a higher coupling probability results in a higher coupling noise, and a lower coupling probability results in a lower coupling noise.

[0068] In an optional implementation, step S31 is preceded by:

[0069] The vibration transfer function is determined using the following formula:

[0070] ;

[0071] ;

[0072] in, The following parameters are used to characterize the vibration transfer function: r (for vibration), c (for modal sensitivity coefficient), K (for microstructure damping ratio), m (for structural stiffness exponent), and w (for modal order). Used to characterize modal participation quality. L is used to characterize the residue. f is used to characterize the frequency.

[0073] This embodiment, based on the structural characteristics of the range hood itself, provides a simple, quick, and effective way to identify abnormal noises from the range hood. Specifically, it determines whether there is a risk of abnormal noise at the motor's mounting point on the motor bracket. If such a risk exists, it obtains the coupling probability at the target point on the range hood corresponding to the mounting point. By judging the magnitude of the coupling probability, it determines the magnitude of the coupled abnormal noise. This simple, quick, and effective method identifies the structural target point of the abnormal noise from the range hood, thus facilitating the design, installation, and maintenance of the range hood.

[0074] In an optional implementation, step S1 includes:

[0075] In response to the excitation generated by the motor on the motor bracket, the deformation of the motor bracket is obtained.

[0076] Since the first region of the motor bracket includes the motor mounting point, and the deformation of the motor bracket at the same frequency includes both bending deformation and torsional deformation, it is determined that there is a first risk of abnormal noise at the motor mounting point.

[0077] The first region is used to characterize the motor bracket area where the deformation of the motor bracket is greater than a first preset deformation. The first preset deformation is set according to the actual situation; in this embodiment, the first preset deformation is set to 75 mm.

[0078] In an optional implementation, step S1 may further include:

[0079] In response to the first area of ​​the motor bracket including the motor mounting point, at the same frequency, the deformation of the motor bracket includes bending deformation or torsional deformation. If the frequency is less than the first frequency, and the deformation of the motor bracket is less than the second preset deformation, then there is a second risk of abnormal noise at the motor mounting point.

[0080] The second preset deformation and the first frequency are set according to the actual situation. In this embodiment, the second preset deformation is set to 45 mm and the first frequency is set to 230 Hz.

[0081] In an optional implementation, step S1 may further include:

[0082] In response to the first region of the motor bracket including the motor mounting point, at the same frequency, the deformation of the motor bracket includes bending deformation or torsional deformation. If the frequency is greater than or equal to the first frequency and less than or equal to the second frequency, and the product of the response of the motor mounting point and the deformation of the motor bracket is greater than the first preset response, then there is a third risk of abnormal noise at the motor mounting point.

[0083] The first preset response and the second frequency can be set according to the actual situation. In this embodiment, the first preset response is set to 180m / s. 2 (meters per second squared), the second frequency is set to 380 Hz.

[0084] In an optional implementation, step S1 may further include:

[0085] In response to the first region of the motor bracket, including the motor mounting point, at the same frequency, the deformation of the motor bracket includes bending deformation or torsional deformation. If the frequency is greater than or equal to the first frequency and less than or equal to the second frequency, and the product of the response of the motor mounting point and the deformation of the motor bracket is less than the first preset response, then there is a fourth risk of abnormal noise at the motor mounting point.

[0086] In an optional implementation, step S1 may further include:

[0087] The first region of the motor bracket includes the motor mounting point. At the same frequency, the deformation of the motor bracket includes bending deformation or torsional deformation. If the frequency is greater than the second frequency, the response of the motor mounting point is greater than the second preset response, and the excitation of the motor to the motor mounting point is less than or equal to the preset excitation threshold, then there is a fifth risk of abnormal noise at the motor mounting point.

[0088] The second preset response and the preset excitation threshold can be set according to the actual situation. In this embodiment, the second preset response is set to 75 m / s. 2 The preset excitation threshold ranges from 1.5 to 1.8 m / s. 2 .

[0089] Among these, the first frequency is less than the second frequency, the first preset deformation is greater than the second preset deformation, and the first preset response is greater than the second preset response. The first risk of abnormal sound is greater than the second risk of abnormal sound, the second risk of abnormal sound is greater than the third risk of abnormal sound, the third risk of abnormal sound is greater than the fourth risk of abnormal sound, and the fourth risk of abnormal sound is greater than the fifth risk of abnormal sound.

[0090] In this embodiment, the abnormal noise risk level of the motor installation point is determined by structural performance parameters such as frequency, bending deformation, torsional deformation, response, and excitation. This allows for quick and accurate identification of which structural component of the range hood and which frequency is causing the abnormal noise, and enables the determination of different optimized structural solutions based on the abnormal noise risk level.

[0091] In one optional implementation, the motor is mounted on a motor bracket via a motor mounting point to provide excitation for the entire fan system. Since the excitation at each mounting point differs depending on the installation environment, the excitation received by each motor mounting point is set as follows: A corresponding response will occur at the edge of the motor mounting point. However, it should be noted that the excitation and response of each motor mounting point will be affected by the excitation and response of other motor mounting points. Therefore, it is necessary to use a first correction factor q and a second correction factor p for correction. The values ​​of p and q can be between 0.2 and 0.25. The excitation and response of the motor mounting points are corrected separately. Therefore, the abnormal noise identification method also includes:

[0092] The excitation from the motor at each motor mounting point is corrected based on the following formula:

[0093] ;

[0094] in, This is used to characterize the excitation of the motor at the i-th motor mounting point after correction. The term q is used to characterize the excitation experienced by the motor at the i-th motor mounting point before correction. q is used to characterize the first correction factor. This is used to characterize the excitation of the motor at the nth motor mounting point before correction.

[0095] In an optional implementation, the abnormal sound recognition method further includes:

[0096] The response at each motor mounting point is corrected based on the following formula:

[0097] ;

[0098] in, This is used to characterize the excitation of the motor at the i-th motor mounting point after correction. The term p is used to characterize the excitation of the motor at the i-th motor mounting point before correction. p is used to characterize the second correction factor. This is used to characterize the excitation of the motor at the nth motor mounting point before correction.

[0099] The values ​​of q and p are both within the range of [0.2, 0.25].

[0100] The following is a specific example to illustrate the abnormal sound recognition method of this embodiment.

[0101] The core idea of ​​this example is that the range hood's excitation comes from the motor, but the transmission of excitation characteristics is done through different structures, level by level. The connection levels are distinguished by the motor, the volute, and the entire range hood. The motor is mounted on the motor bracket, so the motor bracket is the first level of transmission. At the same time, the motor bracket itself is also a structure, and structures inevitably have inherent properties, such as frequency and mode shape, which are independent of external factors and determined only by the structure itself. Therefore, when the motor excitation is transmitted to the motor bracket, the motor bracket responds. At the same time, the motor bracket is also the excitation source for the next level. As the excitation source for the next level, accurately identifying how much the motor bracket transmits to the next level is crucial.

[0102] The specific method in this example is as follows:

[0103] The motor is mounted on a motor bracket via motor mounting points to provide excitation for the entire range hood's fan system. Due to varying installation environments, the excitation at each mounting point differs. The excitation received by each motor mounting point is set as follows: A corresponding response will occur at the edge of the motor mounting point. , However, it should be noted that the excitation and response of each motor mounting point will be affected by the excitation and response of other motor mounting points. Therefore, it is necessary to first correct using a first correction factor q and a second correction factor p, with p and q values ​​ranging from 0.2 to 0.25, to correct the excitation and response of each motor mounting point separately. For example: using... , For example, , .in, This is used to characterize the excitation of the motor by the first motor mounting point after correction. The value q is used to characterize the excitation of the motor at the first motor mounting point before correction. q is used to characterize the first correction factor. This is used to characterize the excitation of the motor at the nth motor mounting point before correction. This is used to characterize the excitation of the motor at the first motor mounting point after correction. The term p is used to characterize the excitation of the motor at the first motor mounting point before correction. p is used to characterize the second correction factor. This is used to characterize the excitation of the motor at the nth motor mounting point before correction.

[0104] It should be noted that the incentives and responses mentioned below are the revised versions.

[0105] Secondly, calculate the transfer function for each motor mounting point. ,in, The transfer function is used to characterize the nth motor mounting point. The transfer function of each mounting point is compared with a preset transfer function. If it falls within ±2% of the preset transfer function, the data is considered normal and can proceed to the next step. The next step is to determine the deformation of the motor support under specific motor excitation based on the transfer function. The deformation is divided into bending deformation and torsional deformation, which can be represented by W and N respectively. W characterizes bending deformation, and N characterizes torsional deformation. If the deformation of the motor support is greater than the first preset deformation, it indicates a large deformation at that structure. The areas where the deformation of the motor support is greater than the first preset deformation are placed in a set. It is then determined whether the set covers the motor mounting point. If it does not cover the motor mounting point, the vibration response at this stage of the motor support meets the requirements; if it covers the motor mounting point, the corresponding mounting point is found, and the deformation at that mounting point is analyzed. and The distinction is made by using f to represent frequency, which clarifies the deformation of the motor mounting point area under different excitation frequencies.

[0106] The following content is used to determine whether there is a risk of abnormal noise, and the level of abnormal noise risk is determined according to the order: (1) If there is both bending deformation and torsional deformation at the same frequency, it means that the energy transmitted from this installation point to the next level is the highest in the transmission of the level, which is the first risk of abnormal noise. When abnormal noise occurs at this frequency, it can be directly traced back to the installation point area. It is the installation point that transmits the excitation to the subsequent structure, which causes abnormal noise. Further vibration isolation optimization or structural optimization should be carried out on the installation point area; (2) If there is only one deformation at the same frequency, that is, only bending deformation or torsional deformation, the range of frequency f is determined. If f is less than 230Hz (Hertz), it is determined whether the bending deformation or torsional deformation is less than the second preset deformation. If it is less than the second preset deformation, the risk can be ignored. If it is not less than the second preset deformation, it is the second risk of abnormal noise; (3) If f is in the range of 230-380Hz, the response of the motor installation point is determined. If the multiplier (W or N) is less than the first preset response, then it is determined to be the fourth risk of abnormal noise. (4) If it is greater than the first preset response, then it is the third risk of abnormal noise. (5) If f is greater than 380Hz, only the response of the motor mounting point needs to be judged. If the response is less than the second preset response, there is no risk. If the response is greater than the second preset response, the motor excitation to the motor mounting point is determined to be within the preset excitation threshold in the range of f. If the response is less than or equal to the preset excitation threshold, the motor excitation under f is excessive. Otherwise, it is the fifth risk of abnormal noise.

[0107] It should be noted that if the motor installation point is determined to be the first risk of abnormal noise, then the abnormal noise at the target point of the range hood corresponding to that motor installation point will be the greatest, and the abnormal noise corresponding to the first to fifth risks of abnormal noise will gradually decrease.

[0108] This reveals the excitation status of the next-level excitation source, the motor bracket, and the subsequent response at the target point within the volute and the entire range hood (it should be noted that the target point can be any one or more points within any area of ​​interest). Based on the obtained abnormal noise risk level, the residue L and dynamic stiffness index D at each frequency f are determined sequentially.

[0109] Specifically, the L and D values ​​at various frequencies are obtained through the vibration transfer function (VTF). The amplitude at the natural frequency of the VTF is the residue L, and the reciprocal of the VTF is the dynamic stiffness exponent D. Each peak in each VTF curve corresponds to a frequency. A peak value exceeding a certain threshold at any frequency indicates the presence of a potentially risky structural mode at that frequency, which is prone to coupling. The peak values ​​of the VTF are derived by extracting the highest amplitude corresponding to the natural frequency using methods such as peak value extraction or modal superposition (the peak amplitude of each natural mode is related to the modal mass distribution, damping ratio, and modal stiffness distribution, and is an inherent property).

[0110] By comparing the sum of L and D with the preset peak value of the vibration transfer function VTH, the coupling probability of the target point region at that frequency f is determined. Then, based on the coupling probability, the magnitude of the coupling noise at that frequency f can be judged. A higher coupling probability results in a larger coupling noise; a lower coupling probability results in a smaller coupling noise.

[0111] Example 2

[0112] Corresponding to the aforementioned embodiments of the abnormal sound recognition method, this disclosure also provides embodiments of the abnormal sound recognition system.

[0113] See Figure 2 The abnormal sound recognition system includes:

[0114] Risk assessment module 1 is used to determine whether there is a risk of abnormal noise at the motor mounting point. The motor mounting point is used to characterize the connection point where the motor is mounted on the motor bracket.

[0115] Target determination module 2 is used to determine the target point of the range hood structure corresponding to the motor installation point as the target point of the abnormal noise if there is a risk of abnormal noise at the motor installation point.

[0116] The abnormal sound recognition module 3 is used to obtain the coupling probability of the target point of the abnormal sound to be tested, and to determine the coupled abnormal sound of the target point of the abnormal sound to be tested based on the coupling probability.

[0117] In an optional implementation, see Figure 2 The abnormal sound recognition system also includes:

[0118] Module 4 is used to obtain the deformation of the motor bracket in response to the excitation generated by the motor on the motor bracket.

[0119] The risk determination module 1 is further configured to determine that there is a first risk of abnormal noise at the motor mounting point in response to the fact that the first region of the motor bracket includes the motor mounting point, and the deformation of the motor bracket includes both bending deformation and torsional deformation at the same frequency; wherein, the first region is used to characterize the motor bracket region where the deformation of the motor bracket is greater than a first preset deformation.

[0120] In an optional implementation, the risk determination module 1 is further configured to, in response to the first region of the motor bracket including the motor mounting point, and the deformation of the motor bracket including bending deformation or torsional deformation at the same frequency, if the frequency is less than the first frequency, in response to the deformation of the motor bracket being less than the second preset deformation, then there is a second risk of abnormal noise at the motor mounting point.

[0121] In an optional implementation, the risk determination module 1 is further configured to, in response to the first region of the motor bracket including the motor mounting point, and the deformation of the motor bracket including bending deformation or torsional deformation at the same frequency, if the frequency is greater than or equal to the first frequency and the frequency is less than or equal to the second frequency, and the product of the response of the motor mounting point and the deformation of the motor bracket is greater than the first preset response, then there is a third risk of abnormal noise at the motor mounting point.

[0122] In an optional implementation, the risk determination module 1 is further configured to, in response to the first region of the motor bracket including the motor mounting point, and the deformation of the motor bracket including bending deformation or torsional deformation at the same frequency, if the frequency is greater than or equal to the first frequency and the frequency is less than or equal to the second frequency, and the product of the response of the motor mounting point and the deformation of the motor bracket is less than the first preset response, then there is a fourth risk of abnormal noise at the motor mounting point.

[0123] In an optional implementation, the risk determination module 1 is further configured to, in response to the first region of the motor bracket including the motor mounting point, and the deformation of the motor bracket including bending deformation or torsional deformation at the same frequency, if the frequency is greater than the second frequency, the response of the motor mounting point is greater than the second preset response, and the excitation of the motor to the motor mounting point is less than or equal to the preset excitation threshold, then there is a fifth risk of abnormal noise at the motor mounting point.

[0124] Among them, the first frequency is less than the second frequency, the first preset deformation is greater than the second preset deformation, and the first preset response is greater than the second preset response; the first risk of abnormal sound is greater than the second risk of abnormal sound, the second risk of abnormal sound is greater than the third risk of abnormal sound, the third risk of abnormal sound is greater than the fourth risk of abnormal sound, and the fourth risk of abnormal sound is greater than the fifth risk of abnormal sound.

[0125] In an optional implementation, see Figure 2 The abnormal sound recognition system also includes:

[0126] Function module 5 is used to determine the residue of the target point of the abnormal sound based on the amplitude at the natural frequency of the vibration transfer function, and to determine the dynamic stiffness index based on the reciprocal of the vibration transfer function.

[0127] The abnormal sound recognition module 3 is also used to determine the high coupling probability in response to the sum of the residue and the dynamic stiffness index being greater than the preset peak value.

[0128] In an optional implementation, function module 5 is further configured to determine the vibration transfer function according to the following formula:

[0129] ;

[0130] ;

[0131] in, The following parameters are used to characterize the vibration transfer function: r; c; K; m; and w. L is used to characterize modal participation quality; f is used to characterize residue; f is used to characterize frequency.

[0132] Among them, the coupling probability and the coupling heterophony are positively correlated.

[0133] In an optional implementation, see Figure 2 The abnormal sound recognition system also includes:

[0134] Correction module 6 is used to correct the motor excitation at each motor mounting point based on the following formula:

[0135] ;

[0136] in, Used to characterize the excitation of the motor at the i-th motor mounting point after correction; Used to characterize the excitation of the motor at the i-th motor mounting point before correction; q is used to characterize the first correction factor; This is used to characterize the excitation of the motor at the nth motor mounting point before correction.

[0137] In an optional implementation, the correction module 6 is further configured to correct the response of each motor mounting point based on the following formula:

[0138] ;

[0139] in, Used to characterize the excitation of the motor at the i-th motor mounting point after correction; p is used to characterize the excitation of the motor at the i-th motor mounting point before correction; p is used to characterize the second correction factor. This is used to characterize the excitation of the motor at the nth motor mounting point before correction.

[0140] The values ​​of q and p are both within the range of [0.2, 0.25].

[0141] For the system embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to in the description of the method embodiments. The system embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separate, and the components 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 can be selected to achieve the purpose of this disclosure according to actual needs.

[0142] Example 3

[0143] Figure 3 This is a schematic diagram of the structure of an electronic device according to an example embodiment of the present disclosure. The electronic device includes a memory, a processor, and a computer program stored in the memory and used to run on the processor. When the processor executes the computer program, it implements the abnormal sound recognition method of any of the above embodiments. Figure 3 The electronic device 30 shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments disclosed herein.

[0144] like Figure 3 As shown, the electronic device 30 can be manifested as a general-purpose computing device, such as a server device. The components of the electronic device 30 may include, but are not limited to: at least one processor 31, at least one memory 32, and a bus 33 connecting different system components (including memory 32 and processor 31).

[0145] Bus 33 includes a data bus, an address bus, and a control bus.

[0146] The memory 32 may include volatile memory, such as random access memory (RAM) 321 and / or cache memory 322, and may further include read-only memory (ROM) 323.

[0147] The memory 32 may also include a program tool 325 (or utility) having a set (at least one) program module 324, such program module 324 including but not limited to: an operating system, one or more application programs, other program modules and program data, each or some combination of these examples may include an implementation of a network environment.

[0148] The processor 31 executes various functional applications and data processing by running computer programs stored in the memory 32, such as the abnormal sound recognition method provided in any of the above embodiments.

[0149] Electronic device 30 can also communicate with one or more external devices 34 (e.g., keyboard, pointing device, etc.). This communication can be performed through input / output (I / O) interface 35. Furthermore, electronic device 30 can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public network, such as the Internet) via network adapter 36. As shown, network adapter 36 communicates with other modules of electronic device 30 via bus 33. It should be understood that, although not shown in the figure, other hardware and / or software modules can be used in conjunction with electronic device 30, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk array) systems, tape drives, and data backup storage systems.

[0150] It should be noted that although several units / modules or sub-units / modules of the electronic device have been mentioned in the detailed description above, this division is merely exemplary and not mandatory. In fact, according to embodiments of this disclosure, the features and functions of two or more units / modules described above can be embodied in one unit / module. Conversely, the features and functions of one unit / module described above can be further divided and embodied by multiple units / modules.

[0151] Example 4

[0152] This disclosure also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the abnormal sound recognition method provided in any of the above embodiments.

[0153] The readable storage medium may be more specifically adopted, including but not limited to: portable disk, hard disk, random access memory, read-only memory, erasable programmable read-only memory, optical storage device, magnetic storage device, or any suitable combination thereof.

[0154] Example 5

[0155] This disclosure also provides a computer program product, including a computer program that, when executed by a processor, implements the abnormal sound recognition method described above.

[0156] The program code for executing the computer program product disclosed herein can be written in any combination of one or more programming languages. The program code can be executed entirely on a user device, partially on a user device, as a stand-alone software package, partially on a user device and partially on a remote device, or entirely on a remote device.

[0157] While specific embodiments of this disclosure have been described above, those skilled in the art should understand that these are merely illustrative examples, and the scope of protection of this disclosure is defined by the appended claims. Those skilled in the art can make various changes or modifications to these embodiments without departing from the principles and essence of this disclosure, but all such changes and modifications fall within the scope of protection of this disclosure.

Claims

1. A method for identifying unusual sounds, characterized in that, The abnormal sound recognition method includes: Determine if there is any risk of abnormal noise at the motor mounting point; wherein, the motor mounting point is used to characterize the connection point where the motor is mounted on the motor bracket; In response to the risk of abnormal noise at the motor mounting point, the target point of the range hood structure corresponding to the motor mounting point is determined as the target point for abnormal noise to be tested; Obtain the coupling probability of the target point of the abnormal sound to be tested, and determine the coupled abnormal sound of the target point of the abnormal sound to be tested based on the coupling probability; The step of obtaining the coupling probability of the target point of the abnormal sound to be tested includes: The residue of the target point of the abnormal sound is determined based on the amplitude at the natural frequency of the vibration transfer function, and the dynamic stiffness index is determined based on the reciprocal of the vibration transfer function. When the sum of the residue and the dynamic stiffness exponent is greater than a preset peak value, it is determined that the coupling probability is high; The step of determining the residue of the target noise point based on the amplitude at the natural frequency of the vibration transfer function, and determining the dynamic stiffness exponent based on the reciprocal of the vibration transfer function, includes the following steps: The vibration transfer function is determined using the following formula: ； ； in, The following parameters are used to characterize the vibration transfer function: r is used to characterize the modal sensitivity coefficient; c is used to characterize the microstructure damping ratio; K is used to characterize the structural stiffness exponent; m is used to characterize the structural mass; w is used to characterize the modal order; m1 is used to characterize the modally involved mass; L is used to characterize the residue; and f is used to characterize the frequency.

2. The abnormal sound recognition method as described in claim 1, characterized in that, The steps for determining whether there is a risk of abnormal noise at the motor mounting point include: In response to the excitation generated by the motor on the motor bracket, the deformation of the motor bracket is obtained; In response to the fact that the first region of the motor bracket includes the motor mounting point, and at the same frequency, the deformation of the motor bracket simultaneously includes bending deformation and torsional deformation, then it is determined that there is a first risk of abnormal noise at the motor mounting point; wherein, the first region is used to characterize the motor bracket region where the deformation of the motor bracket is greater than a first preset deformation. And / or, In response to the first region of the motor bracket including the motor mounting point, and the deformation of the motor bracket including bending deformation or torsional deformation at the same frequency, if the frequency is less than the first frequency, in response to the deformation of the motor bracket being less than the second preset deformation, then there is a second risk of abnormal noise at the motor mounting point. And / or, In response to the first region of the motor bracket including the motor mounting point, and at the same frequency, the deformation of the motor bracket including bending deformation or torsional deformation, if the frequency is greater than or equal to the first frequency and the frequency is less than or equal to the second frequency, and the product of the response of the motor mounting point and the deformation of the motor bracket is greater than the first preset response, then there is a third risk of abnormal noise at the motor mounting point. And / or, In response to the motor mounting point being included in the first region of the motor bracket, and the deformation of the motor bracket including bending deformation or torsional deformation at the same frequency, if the frequency is greater than or equal to the first frequency and the frequency is less than or equal to the second frequency, and the product of the response of the motor mounting point and the deformation of the motor bracket is less than the first preset response, then there is a fourth risk of abnormal noise at the motor mounting point. And / or, In response to the motor mounting point being included in the first region of the motor bracket, and the deformation of the motor bracket including bending deformation or torsional deformation at the same frequency, if the frequency is greater than the second frequency, the response of the motor mounting point is greater than the second preset response, and the excitation of the motor to the motor mounting point is less than or equal to the preset excitation threshold, then there is a fifth risk of abnormal noise at the motor mounting point. Wherein, the first frequency is less than the second frequency, the first preset deformation is greater than the second preset deformation, and the first preset response is greater than the second preset response; the first risk of abnormal sound is greater than the second risk of abnormal sound, the second risk of abnormal sound is greater than the third risk of abnormal sound, the third risk of abnormal sound is greater than the fourth risk of abnormal sound, and the fourth risk of abnormal sound is greater than the fifth risk of abnormal sound.

3. The abnormal sound recognition method as described in claim 1, characterized in that, The coupling probability is positively correlated with the coupling anomaly.

4. The abnormal sound recognition method as described in claim 1, characterized in that, The abnormal sound recognition method further includes: The excitation of the motor at each motor mounting point is corrected based on the following formula: Yeah 修 =Si+q*(S2+S3+…+Sn); Among them, Si 修 Si is used to characterize the excitation of the motor at the i-th motor mounting point after correction; q is used to characterize the excitation of the motor at the i-th motor mounting point before correction; Sn is used to characterize the excitation of the motor at the n-th motor mounting point before correction. And / or, The response at each motor mounting point is corrected based on the following formula: Xi 修 =Xi+p*(X2+X3+…+Xn); Among them, Xi 修 Xi is used to characterize the excitation of the motor at the i-th motor mounting point after correction; Xi is used to characterize the excitation of the motor at the i-th motor mounting point before correction; p is used to characterize the second correction factor; Xn is used to characterize the excitation of the motor at the n-th motor mounting point before correction. The values ​​of q and p are both within the range of [0.2, 0.25].

5. A sound recognition system, characterized in that, The abnormal sound recognition system includes: The risk determination module is used to determine whether there is a risk of abnormal noise at the motor mounting point; wherein, the motor mounting point is used to characterize the connection point where the motor is mounted on the motor bracket; The target determination module is used to determine the target point of the range hood structure corresponding to the motor installation point as the target point of the abnormal noise if there is a risk of abnormal noise at the motor installation point. An abnormal sound recognition module is used to obtain the coupling probability of the target point of the abnormal sound to be tested, and to determine the coupled abnormal sound of the target point of the abnormal sound to be tested based on the coupling probability; The abnormal sound recognition system also includes: The function module is used to determine the residue of the target point of the abnormal sound under test based on the amplitude at the natural frequency of the vibration transfer function, and to determine the dynamic stiffness index based on the reciprocal of the vibration transfer function. The abnormal sound recognition module is also used to determine the high coupling probability in response to the sum of the residue and the dynamic stiffness index being greater than a preset peak value; The function module is also used to determine the vibration transfer function according to the following formula: ； ； in, The following parameters are used to characterize the vibration transfer function: r is used to characterize the modal sensitivity coefficient; c is used to characterize the microstructure damping ratio; K is used to characterize the structural stiffness exponent; m is used to characterize the structural mass; w is used to characterize the modal order; m1 is used to characterize the modally involved mass; L is used to characterize the residue; and f is used to characterize the frequency.

6. An electronic device comprising a memory, a processor, and a computer program stored in the memory and for running on the processor, characterized in that, When the processor executes the computer program, it implements the abnormal sound recognition method according to any one of claims 1 to 4.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the abnormal sound recognition method according to any one of claims 1 to 4.

8. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the abnormal sound recognition method as described in any one of claims 1-4.

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