Abnormal sound source determination method and device, equipment and readable storage medium

Abstract

The present application provides an abnormal sound source determination method, device, equipment and readable storage medium. The method comprises: acquiring in-vehicle measured noise data and measured sensor data corresponding to sensor output of each abnormal sound possible position; for each abnormal sound possible position, obtaining fitted excitation data according to the corresponding response function and the measured sensor data, and obtaining fitted noise data according to the corresponding noise transfer function and the fitted excitation data; obtaining a plurality of fitted noise data combinations according to a plurality of fitted noise data, wherein each fitted noise data combination contains at least one fitted noise data; calculating the similarity of the combined noise data corresponding to each fitted noise data combination and the in-vehicle measured noise data, and determining the target fitted noise data combination corresponding to the maximum similarity; determining the abnormal sound possible position corresponding to the fitted noise data contained in the target fitted noise data combination as the abnormal sound source. Through the present application, the abnormal sound source is accurately and efficiently positioned.

Description

Technical Field

[0001] This invention relates to the field of vehicle fault diagnosis technology, and in particular to a method, apparatus, device, and readable storage medium for determining abnormal noise sources. Background Technology

[0002] Abnormal noises are very common during car use, and accurate identification of the source is crucial to solving this problem. However, there are many causes of abnormal noises in cars, often due to issues such as improper component structural rigidity, unreasonable clearance design, and material mismatch. The generation mechanism of abnormal noises is quite complex, characterized by randomness, unclear frequency domain characteristics, and a wide range of sources, making it very difficult to locate the source of the noise. Summary of the Invention

[0003] The main objective of this invention is to provide a method, apparatus, device, and readable storage medium for determining abnormal noise sources, aiming to solve the technical problem in the prior art of difficulty in locating the source of abnormal noise when a vehicle exhibits abnormal noise.

[0004] In a first aspect, the present invention provides a method for determining abnormal noise sources, the method comprising:

[0005] Acquire actual noise data inside the vehicle and actual sensor data output by the sensor corresponding to each possible location of abnormal noise, wherein the sensor and the corresponding possible location of abnormal noise are at a preset distance;

[0006] For each possible location of the abnormal noise, fitted excitation data is obtained based on its corresponding response function and measured sensor data, and fitted noise data is obtained based on its corresponding noise transfer function and fitted excitation data.

[0007] Several combinations of fitted noise data are obtained based on multiple fitted noise data, wherein each combination of fitted noise data contains at least one fitted noise data.

[0008] Calculate the similarity between the combined noise data corresponding to each fitted noise data combination and the measured noise data inside the vehicle, and determine the target fitted noise data combination corresponding to the maximum similarity.

[0009] The possible locations of abnormal noises corresponding to the fitted noise data contained in the target fitted noise data combination are identified as the sources of abnormal noises.

[0010] Optionally, before the step of acquiring the measured noise data inside the vehicle and the measured sensor data output by the sensors located at each possible location of the abnormal noise, the method further includes:

[0011] For each possible location of the abnormal noise, acquire the excitation data of the possible location of the abnormal noise, the in-vehicle response noise data caused by the excitation data, and the response sensing data output by the sensor;

[0012] Based on the excitation data and the in-vehicle response noise data caused by the excitation data, the noise transfer function corresponding to the possible location of the abnormal noise is obtained;

[0013] Based on the excitation data and the sensor response data output by the sensor caused by the excitation data, the response function corresponding to the possible location of the abnormal noise is obtained.

[0014] Optionally, the excitation data is the hammering force corresponding to the hammering action performed at the possible location of the abnormal noise, and the sensor is a three-dimensional vibration sensor.

[0015] Optionally, the excitation data is the output of a sound output device located at the possible location of the abnormal noise, and the sensor is a sound acquisition device.

[0016] Optionally, the number of sensors corresponding to each possible location of the abnormal noise is at least two.

[0017] Secondly, the present invention also provides an abnormal noise source determination device, the abnormal noise source determination device comprising:

[0018] The acquisition module is used to acquire the measured noise data inside the vehicle and the measured sensor data output by the sensor corresponding to each possible location of the abnormal noise, wherein the sensor and the corresponding possible location of the abnormal noise are at a preset distance.

[0019] The fitting module is used to obtain fitting excitation data based on the corresponding response function and measured sensor data for each possible location of abnormal noise, and to obtain fitting noise data based on the corresponding noise transfer function and the fitting excitation data.

[0020] The combination module is used to obtain several combinations of fitted noise data based on multiple fitted noise data, wherein each combination of fitted noise data contains at least one fitted noise data.

[0021] The comparison module is used to calculate the similarity between the combined noise data corresponding to each fitted noise data combination and the measured noise data inside the vehicle, and to determine the target fitted noise data combination corresponding to the maximum similarity.

[0022] The determination module is used to determine the possible locations of abnormal noise sources corresponding to the fitted noise data contained in the target fitted noise data combination.

[0023] Optionally, the abnormal noise source determination device further includes a transfer function construction module, used for:

[0024] For each possible location of the abnormal noise, acquire the excitation data of the possible location of the abnormal noise, the in-vehicle response noise data caused by the excitation data, and the response sensing data output by the sensor;

[0025] Based on the excitation data and the in-vehicle response noise data caused by the excitation data, the noise transfer function corresponding to the possible location of the abnormal noise is obtained;

[0026] Based on the excitation data and the sensor response data output by the sensor caused by the excitation data, the response function corresponding to the possible location of the abnormal noise is obtained.

[0027] Optionally, the excitation data is the hammering force corresponding to the hammering action performed at the possible location of the abnormal noise, and the sensor is a three-dimensional vibration sensor;

[0028] Alternatively, the excitation data may be the output of a sound output device located at the possible location of the abnormal noise, and the sensor may be a sound acquisition device.

[0029] Optionally, the number of sensors corresponding to each possible location of the abnormal noise is at least two.

[0030] Thirdly, the present invention also provides an abnormal noise source determination device, the abnormal noise source determination device including a processor, a memory, and an abnormal noise source determination program stored in the memory and executable by the processor, wherein when the abnormal noise source determination program is executed by the processor, the steps of the abnormal noise source determination method as described above are implemented.

[0031] Fourthly, the present invention also provides a readable storage medium storing an abnormal noise source determination program, wherein when the abnormal noise source determination program is executed by a processor, it implements the steps of the abnormal noise source determination method as described above.

[0032] In this invention, measured noise data inside the vehicle and measured sensor data output from sensors corresponding to each possible location of an abnormal noise are acquired, wherein the sensors are at a preset distance from the corresponding possible location of the abnormal noise. For each possible location of an abnormal noise, fitted excitation data is obtained based on its corresponding response function and measured sensor data, and fitted noise data is obtained based on the corresponding noise transfer function and fitted excitation data. Several combinations of fitted noise data are obtained from multiple fitted noise data, wherein each combination of fitted noise data contains at least one fitted noise data. The similarity between the combined noise data corresponding to each combination of fitted noise data and the measured noise data inside the vehicle is calculated, and the target fitted noise data combination corresponding to the maximum similarity is determined. The possible location of the abnormal noise corresponding to the fitted noise data contained in the target fitted noise data combination is determined as the abnormal noise source. Through this invention, fitted excitation data is obtained based on the response function corresponding to each possible location of an abnormal noise and the measured sensor data output from sensors. Then, fitted noise data corresponding to each possible location of an abnormal noise is obtained based on the corresponding noise transfer function and fitted excitation data. Finally, the target fitted noise data combination most similar to the measured noise data inside the vehicle is determined, thereby identifying the abnormal noise source and achieving accurate and efficient location of the abnormal noise source. Attached Figure Description

[0033] Figure 1 This is a flowchart illustrating an embodiment of the method for determining abnormal noise sources according to the present invention;

[0034] Figure 2 This is a functional module diagram of an embodiment of the abnormal noise source determination device of the present invention;

[0035] Figure 3 This is a schematic diagram of the hardware structure of the noise source determination device involved in the embodiment of the present invention.

[0036] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0037] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0038] In a first aspect, embodiments of the present invention provide a method for determining abnormal noise sources.

[0039] In one embodiment, reference is made to Figure 1 , Figure 1 This is a flowchart illustrating an embodiment of the method for determining abnormal noise sources according to the present invention. Figure 1 As shown, the methods for determining the source of abnormal noise include:

[0040] Step S10: Obtain the measured noise data inside the vehicle and the measured sensor data output by the sensor corresponding to each possible location of the abnormal noise, wherein the sensor and the corresponding possible location of the abnormal noise are at a preset distance.

[0041] In this embodiment, a microphone is placed at the ear position inside the vehicle to collect measured noise data inside the vehicle.

[0042] Unusual noises inside a vehicle can be categorized into structurally transmitted and airborne transmission. Structurally transmitted noises are caused by vibrations from impacts or friction between parts at the source, which are transmitted to the vehicle body through the suspension and chassis, generating radiated noise. Airborne noises are noises generated at the source that are transmitted directly into the vehicle interior through the front bulkhead, floor, and other pathways. Therefore, possible locations for unusual noises include both structurally and airborne sources.

[0043] Possible locations for unusual air noises include:

[0044] Five points on the vehicle chassis: front left, front right, center, rear left, and rear right.

[0045] Possible locations for structural noise include:

[0046] Connection points of the control arm and steering knuckle, control arm and bracket, bracket and body, bracket and stabilizer bar, bracket and steering system, steering knuckle and shock absorber, steering knuckle and tie rod, steering knuckle and stabilizer bar, and shock absorber and body.

[0047] For each possible location of an airborne noise, a microphone is placed nearby; for each possible location of a structural noise, a three-dimensional vibration sensor is placed nearby.

[0048] It should be noted that the above is only a schematic illustration of possible locations of abnormal noises, and the possible locations of abnormal noises can be selected according to actual needs.

[0049] Step S20: For each possible location of the abnormal noise, obtain the fitted excitation data based on its corresponding response function and measured sensor data, and obtain the fitted noise data based on the corresponding noise transfer function and fitted excitation data.

[0050] In this embodiment, for each possible location of the abnormal noise, the corresponding noise transfer function is used to characterize the quantitative relationship between the excitation data and the noise data. That is, the corresponding fitted excitation data is determined based on its corresponding response function and the measured sensor data, and then the corresponding fitted noise data is obtained based on the fitted excitation data and the noise transfer function.

[0051] Furthermore, in one embodiment, before step S10, the method further includes:

[0052] For each possible location of the abnormal noise, acquire the excitation data of the possible location of the abnormal noise, the in-vehicle response noise data caused by the excitation data, and the response sensing data output by the sensor;

[0053] Based on the excitation data and the in-vehicle response noise data caused by the excitation data, the noise transfer function corresponding to the possible location of the abnormal noise is obtained;

[0054] Based on the excitation data and the sensor response data output by the sensor caused by the excitation data, the response function corresponding to the possible location of the abnormal noise is obtained.

[0055] In this embodiment, the noise transfer function is obtained as follows:

[0056] To pinpoint the potential location of structural noise, taking the connection point between the control arm and the steering knuckle as an example, the connection point was struck with a hammer, and the frequency domain hammering force F corresponding to the hammering action was obtained. i (f) (i.e., excitation data); the hammering action generates noise, which is collected by a microphone placed at the ear of a person inside the vehicle, and the frequency domain noise data P output by the microphone is obtained. i(f) (i.e., in-vehicle response noise data caused by excitation data), the frequency domain structural transfer function H corresponding to the connection point between the triangular arm and the steering knuckle is obtained according to the following formula. s，i (f):

[0057]

[0058] For the frequency domain structure transfer function H s，i (f) Obtain its generalized inverse and then perform an inverse Fourier transform to obtain the time-domain structure transfer function H. s，i (t):

[0059] [H s，i [(t)] = FFT -1 {[H s，i (f)] -1}

[0060] Among them, [H s，i (f)] -1 For [x s，i The generalized inverse matrix of [f], FFT -1 This is the inverse Fourier transform.

[0061] Taking the front left side of the vehicle chassis as an example, a sound output device is located at this position. The device is controlled to output sound, and the frequency domain signal corresponding to the output of the sound output device is used as the excitation data F. i (f) The sound will be collected by a microphone placed at the ear of the person inside the vehicle, and the frequency domain noise data P output by the microphone will be obtained. i (f) The frequency domain air transfer function H corresponding to the left front position of the vehicle chassis is obtained according to the following formula. a，i (f):

[0062]

[0063] For the frequency domain air transfer function H a，i (f) Obtain its generalized inverse and then perform an inverse Fourier transform to obtain the time-domain air transfer function H. a，i (t):

[0064] [H a，i [(t)] = FFT -1 {[H a，i (f)] -1}

[0065] Among them, [H a，i (f)] -1 For [x a，i The generalized inverse matrix of [f], FFT -1 This is the inverse Fourier transform.

[0066] By analogy, we can obtain the time-domain structure transfer function corresponding to each possible location of structural noise, and the time-domain air transfer function corresponding to each possible location of air noise, which in turn gives us the noise transfer function corresponding to each possible location of noise.

[0067] It should be noted that the above method is based on the frequency domain signal to obtain the frequency domain transfer function, and then through the frequency domain to time domain conversion, the time domain transfer function is obtained as the noise transfer function; alternatively, the time domain signal can be directly obtained, and the time domain transfer function can be obtained based on the time domain signal as the noise transfer function.

[0068] The response function is obtained as follows:

[0069] To pinpoint the potential location of structural noise, taking the connection point between the control arm and the steering knuckle as an example, the connection point was struck with a hammer, and the frequency domain hammering force F corresponding to the hammering action was obtained. n (f) (i.e., excitation data); the hammering action causes vibration, which is sensed by a triaxial vibration sensor placed near the location, and the frequency domain sensing data a output by the triaxial vibration sensor is obtained. m (f) (i.e., the frequency domain response function H obtained from the response sensor data) nm (f) (i.e., the response function) satisfies the following equation:

[0070] a m (f)=H nm (f)F n (f)

[0071] By analogy, the response function corresponding to each possible location of the structural noise can be obtained. It should be noted that the above method derives the response function based on a frequency domain signal; alternatively, a time domain signal can be directly obtained, and the response function can be derived based on that signal.

[0072] Regarding the possible locations of abnormal air noises, taking the left front position of the vehicle chassis as an example, a sound output device is installed at this location. The sound output device is controlled to output sound, and the frequency domain signal corresponding to the output of the sound output device is used as the excitation data q. j (f) The sound will be collected by a microphone placed near the location, and the frequency domain sensing data a output by the microphone will be obtained. m (f) (i.e., the frequency domain response function H obtained from the response sensor data) nm (f) (i.e., the response function) satisfies the following equation:

[0073] a m (f)=H nm (f)q j (f)

[0074] By analogy, the response function corresponding to each possible location of an airborne noise can be obtained. It should be noted that the above method derives the response function based on a frequency domain signal; alternatively, a time domain signal can be directly obtained, and the response function can be derived based on that signal.

[0075] Based on the above explanation, the fitted noise data is obtained as follows:

[0076] For each possible location of structural noise, the frequency domain response function H is used. nm (f) is the response function, using measured frequency domain sensing data a m实测 (f) Taking measured sensor data as an example, after obtaining measured sensor data a m实测 (f) followed by the corresponding response function H nm (f) yields the fitted excitation data, as shown in the following formula:

[0077] [F n (f) 拟合 ] = [H nm (f)] -1 [a m实测 (f)]

[0078] Among them, F n (f) 拟合 To fit the frequency domain excitation data.

[0079] Then, for F n (f) 拟合 After obtaining its generalized inverse, perform an inverse Fourier transform to obtain the fitted time-domain excitation data F. i (t) is used as the fitting excitation data, and the formula is expressed as:

[0080] [F i [(t)] = FFT -1 {[F n (f) 拟合 ] -1}

[0081] Among them, [F n (f) 拟合 ] -1 For [F n (f) 拟合 The generalized inverse matrix of ], FFT -1 This is the inverse Fourier transform.

[0082] Then, the time-domain excitation data F is fitted. i (t) and the corresponding time-domain structure transfer function H s，i Convolution of (t) yields the fitted noise data P corresponding to the possible locations of structural abnormalities. 结构 for:

[0083] P结构 =H s，i (t)*F i (t)

[0084] By following this method, the fitted noise data corresponding to the possible locations of each structural abnormality can be obtained.

[0085] For each possible location of an anomalous airflow, the frequency domain response function H is used. nm (f) is the response function, using measured frequency domain sensing data a m实测 (f) Taking measured sensor data as an example, after obtaining measured sensor data a m实测 (f) followed by the corresponding response function H nm (f) yields the fitted excitation data, as shown in the following formula:

[0086] [q j (f) 拟合 ] = [H nm (f)] -1 [a m实测 (f)]

[0087] Where, q j (f) 拟合 To fit the frequency domain excitation data.

[0088] Then, for q j (f) 拟合 After obtaining its generalized inverse, perform an inverse Fourier transform to obtain the fitted time-domain excitation data q. i (t) is used as the fitting excitation data, and the formula is expressed as:

[0089] [q i [(t)] = FFT -1 {[q j (f) 拟合 ] -1}

[0090] Among them, [q] j (f) 拟合 ] -1 For [q] j (f) 拟合 The generalized inverse matrix of ], FFT -1 This is the inverse Fourier transform.

[0091] Then, the time-domain excitation data q is fitted. i (t) and the corresponding time-domain air transfer function H a，i Convolving (t) yields the fitted noise data P corresponding to the possible locations of the airborne abnormal noise. 空气 for:

[0092] P 空气 =H a，j(t)*q j (t)

[0093] By following this logic, the fitted noise data corresponding to the possible location of each abnormal air noise can be obtained.

[0094] Step S30: Obtain several combinations of fitted noise data based on multiple fitted noise data, wherein each combination of fitted noise data contains at least one fitted noise data.

[0095] In this embodiment, according to step S20, fitted noise data corresponding to each possible location of the abnormal noise is obtained, that is, multiple fitted noise data are obtained. Taking the fitted noise data including p1 to p3 as an example, the several combinations of fitted noise data obtained are as follows:

[0096] Fitted noisy data combination 1: including p1;

[0097] Fitted noise data combination 2: including p2;

[0098] Fitted noise data combination 3: including p3;

[0099] Fitting noise data combination 4: including p1 and p2;

[0100] Fitted noise data combination 5: including p1 and p3;

[0101] Fitting noise data combination 6: including p2 and p3;

[0102] Fitted noise data combination 7: including p1, p2 and p3.

[0103] Step S40: Calculate the similarity between the combined noise data corresponding to each fitted noise data combination and the measured noise data inside the vehicle, and determine the target fitted noise data combination corresponding to the maximum similarity.

[0104] In this embodiment, for a combination of fitted noise data containing one fitted noise data, the similarity between the fitted noise data contained therein and the measured noise data inside the vehicle is calculated.

[0105] For a combination of fitted noise data containing multiple fitted noise data, the multiple fitted noise data contained therein are superimposed to obtain superimposed fitted noise data. The similarity between the superimposed fitted noise data and the measured noise data inside the vehicle is calculated.

[0106] The similarity calculation can be referenced from the audio similarity calculation algorithm, and will not be elaborated here.

[0107] Taking the embodiment of step S30 as an example, seven similarities can be calculated, and the target fitting noise data combination corresponding to the largest similarity among the seven similarities can be used.

[0108] Step S50: Determine the possible locations of abnormal noises corresponding to the fitted noise data contained in the target fitted noise data combination as the sources of abnormal noises.

[0109] In this embodiment, assuming that the target fitted noise data combination is fitted noise data combination 5, it means that the measured noise data inside the vehicle is composed of fitted noise data p1 and p3. Therefore, the possible locations of abnormal noises corresponding to fitted noise data p1 and p3 are determined as the sources of abnormal noises.

[0110] In this embodiment, measured noise data inside the vehicle and measured sensor data output from sensors corresponding to each possible location of an abnormal noise are acquired, wherein the sensors are at a preset distance from the corresponding possible location of the abnormal noise. For each possible location of an abnormal noise, fitted excitation data is obtained based on its corresponding response function and measured sensor data, and fitted noise data is obtained based on its corresponding noise transfer function and fitted excitation data. Several combinations of fitted noise data are obtained based on multiple fitted noise data, wherein each combination of fitted noise data contains at least one fitted noise data. The similarity between the combined noise data corresponding to each combination of fitted noise data and the measured noise data inside the vehicle is calculated, and the target fitted noise data combination corresponding to the maximum similarity is determined. The possible location of the abnormal noise corresponding to the fitted noise data contained in the target fitted noise data combination is determined as the abnormal noise source. Through this embodiment, fitted excitation data is obtained based on the response function corresponding to each possible location of an abnormal noise and the measured sensor data output from sensors. Then, fitted noise data corresponding to each possible location of an abnormal noise is obtained based on the corresponding noise transfer function and fitted excitation data. Finally, the target fitted noise data combination most similar to the measured noise data inside the vehicle is determined, thereby identifying the abnormal noise source and achieving accurate and efficient location of the abnormal noise source.

[0111] Furthermore, in one embodiment, the excitation data is the hammering force corresponding to the hammering action performed at the possible location of the abnormal noise, and the sensor is a three-dimensional vibration sensor.

[0112] In this embodiment, for abnormal noise transmitted by the structure, the excitation data is the hammering force corresponding to the hammering action performed at the possible location of the abnormal noise, and the sensor is a three-dimensional vibration sensor.

[0113] Furthermore, in one embodiment, the excitation data is the output of a sound output device located at the possible location of the abnormal noise, and the sensor is a sound acquisition device.

[0114] In this embodiment, for abnormal noises transmitted through the air, the excitation data is the output of a sound output device located at the possible location of the abnormal noise, and the sensor is a sound acquisition device.

[0115] Furthermore, in one embodiment, the number of sensors corresponding to each possible location of the abnormal noise is at least two.

[0116] In this embodiment, since there is coupling between each connection point of the chassis (i.e., each possible location of abnormal noise) and the response point inside the vehicle (the position of the human ear inside the vehicle), the inverse matrix method is used to find the response function from the excitation point (i.e., each possible location of abnormal noise) to the reference point (i.e., the location of the sensor). At least two sensors are set near each excitation point. If the powertrain is connected to the response point inside the vehicle via each mount, the impedance method can be used to reduce the number of sensors.

[0117] Secondly, embodiments of the present invention also provide a device for determining abnormal noise sources.

[0118] In one embodiment, reference is made to Figure 2 , Figure 2 This is a functional module diagram of an embodiment of the abnormal noise source determination device of the present invention. Figure 2 As shown, the abnormal noise source identification device includes:

[0119] The acquisition module 10 is used to acquire the measured noise data inside the vehicle and the measured sensing data output by the sensor corresponding to each possible location of the abnormal noise, wherein the sensor and the corresponding possible location of the abnormal noise are at a preset distance.

[0120] The fitting module 20 is used to obtain fitting excitation data based on the corresponding response function and measured sensor data for each possible location of abnormal noise, and to obtain fitting noise data based on the corresponding noise transfer function and fitting excitation data.

[0121] The combination module 30 is used to obtain several combinations of fitted noise data based on multiple fitted noise data, wherein each combination of fitted noise data contains at least one fitted noise data.

[0122] The comparison module 40 is used to calculate the similarity between the combined noise data corresponding to each fitted noise data combination and the measured noise data inside the vehicle, and to determine the target fitted noise data combination corresponding to the maximum similarity.

[0123] The determination module 50 is used to determine the possible location of the abnormal noise source corresponding to the fitted noise data contained in the target fitted noise data combination.

[0124] Optionally, the abnormal noise source determination device further includes a transfer function construction module, used for:

[0125] For each possible location of the abnormal noise, acquire the excitation data of the possible location of the abnormal noise, the in-vehicle response noise data caused by the excitation data, and the response sensing data output by the sensor;

[0126] Based on the excitation data and the in-vehicle response noise data caused by the excitation data, the noise transfer function corresponding to the possible location of the abnormal noise is obtained;

[0127] Based on the excitation data and the sensor response data output by the sensor caused by the excitation data, the response function corresponding to the possible location of the abnormal noise is obtained.

[0128] Optionally, the excitation data is the hammering force corresponding to the hammering action performed at the possible location of the abnormal noise, and the sensor is a three-dimensional vibration sensor;

[0129] Alternatively, the excitation data may be the output of a sound output device located at the possible location of the abnormal noise, and the sensor may be a sound acquisition device.

[0130] Optionally, the number of sensors corresponding to each possible location of the abnormal noise is at least two.

[0131] The functions of each module in the above-mentioned abnormal noise source determination device correspond to the steps in the above-mentioned abnormal noise source determination method embodiment, and their functions and implementation processes will not be described in detail here.

[0132] Thirdly, embodiments of the present invention provide an abnormal noise source identification device, which can be a device with data processing capabilities such as a personal computer (PC), a laptop computer, or a server.

[0133] Reference Figure 3 , Figure 3 This is a schematic diagram of the hardware structure of the abnormal noise source determination device involved in the embodiment of the present invention. In this embodiment, the abnormal noise source determination device may include a processor 1001 (e.g., a Central Processing Unit, CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to realize communication between these components; the user interface 1003 may include a display screen or an input unit such as a keyboard; the network interface 1004 may optionally include a standard wired interface or a wireless interface (e.g., Wireless Fidelity, Wi-Fi interface); the memory 1005 may be high-speed random access memory (RAM) or stable memory (non-volatile memory), such as a disk storage device; the memory 1005 may also optionally be a storage device independent of the aforementioned processor 1001. Those skilled in the art will understand that… Figure 3 The hardware structure shown does not constitute a limitation of the invention and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0134] Continue to refer to Figure 3 , Figure 3 The memory 1005, which serves as a computer storage medium, may include an operating system, a network communication module, a user interface module, and a noise source determination program. The processor 1001 can call the noise source determination program stored in the memory 1005 and execute the noise source determination method provided in this embodiment of the invention.

[0135] Fourthly, embodiments of the present invention also provide a readable storage medium.

[0136] The present invention stores an abnormal noise source determination program on a readable storage medium, wherein when the abnormal noise source determination program is executed by a processor, the steps of the abnormal noise source determination method described above are implemented.

[0137] The method implemented when the abnormal noise source determination procedure is executed can be referred to in various embodiments of the abnormal noise source determination method of the present invention, and will not be repeated here.

[0138] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.

[0139] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0140] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes several instructions to cause a terminal device to execute the methods described in the various embodiments of the present invention.

[0141] The above are merely preferred embodiments of the present invention and do not limit the scope of the patent. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of the present invention.

Claims

1. A method for determining the source of abnormal noise, characterized in that, The method for determining the source of abnormal noise includes: Acquire actual noise data inside the vehicle and actual sensor data output by the sensor corresponding to each possible location of abnormal noise, wherein the sensor and the corresponding possible location of abnormal noise are at a preset distance; For each possible location of the abnormal noise, the fitted excitation data is obtained based on its corresponding response function and measured sensor data, and the fitted noise data is obtained based on its corresponding noise transfer function and fitted excitation data. Several combinations of fitted noise data are obtained based on multiple fitted noise data, wherein each combination of fitted noise data contains at least one fitted noise data. Calculate the similarity between the combined noise data corresponding to each fitted noise data combination and the measured noise data inside the vehicle, and determine the target fitted noise data combination corresponding to the maximum similarity. The possible locations of abnormal noises corresponding to the fitted noise data contained in the target fitted noise data combination are identified as the sources of abnormal noises.

2. The method for determining abnormal noise sources as described in claim 1, characterized in that, Before the step of acquiring the measured noise data inside the vehicle and the measured sensor data output by the sensors located at each possible location of the abnormal noise, the method further includes: For each possible location of the abnormal noise, acquire the excitation data of the possible location of the abnormal noise, the in-vehicle response noise data caused by the excitation data, and the response sensing data output by the sensor; Based on the excitation data and the in-vehicle response noise data caused by the excitation data, the noise transfer function corresponding to the possible location of the abnormal noise is obtained; Based on the excitation data and the sensor response data output by the sensor caused by the excitation data, the response function corresponding to the possible location of the abnormal noise is obtained.

3. The method for determining abnormal noise sources as described in claim 2, characterized in that, The excitation data is the hammering force corresponding to the hammering action performed at the possible location of the abnormal noise, and the sensor is a three-dimensional vibration sensor.

4. The method for determining abnormal noise sources as described in claim 2, characterized in that, The excitation data is the output of a sound output device located at the possible location of the abnormal noise, and the sensor is a sound acquisition device.

5. The method for determining abnormal noise sources as described in claim 3 or 4, characterized in that, There are at least two sensors corresponding to each possible location of the abnormal noise.

6. A device for identifying abnormal noise sources, characterized in that, The abnormal noise source identification device includes: The acquisition module is used to acquire the measured noise data inside the vehicle and the measured sensor data output by the sensor corresponding to each possible location of the abnormal noise, wherein the sensor and the corresponding possible location of the abnormal noise are at a preset distance. The fitting module is used to obtain fitting excitation data based on the corresponding response function and measured sensor data for each possible location of abnormal noise, and to obtain fitting noise data based on the corresponding noise transfer function and the fitting excitation data. The combination module is used to obtain several combinations of fitted noise data based on multiple fitted noise data, wherein each combination of fitted noise data contains at least one fitted noise data. The comparison module is used to calculate the similarity between the combined noise data corresponding to each fitted noise data combination and the measured noise data inside the vehicle, and to determine the target fitted noise data combination corresponding to the maximum similarity. The determination module is used to determine the possible locations of abnormal noise sources corresponding to the fitted noise data contained in the target fitted noise data combination.

7. The abnormal noise source identification device as described in claim 6, characterized in that, The abnormal noise source determination device further includes a transfer function construction module, used for: For each possible location of the abnormal noise, acquire the excitation data of the possible location of the abnormal noise, the in-vehicle response noise data caused by the excitation data, and the response sensing data output by the sensor; Based on the excitation data and the in-vehicle response noise data caused by the excitation data, the noise transfer function corresponding to the possible location of the abnormal noise is obtained; Based on the excitation data and the sensor response data output by the sensor caused by the excitation data, the response function corresponding to the possible location of the abnormal noise is obtained.

8. The abnormal noise source identification device as described in claim 6, characterized in that, The excitation data is the hammering force corresponding to the hammering action performed at the possible location of the abnormal noise, and the sensor is a three-dimensional vibration sensor; Alternatively, the excitation data may be the output of a sound output device located at the possible location of the abnormal noise, and the sensor may be a sound acquisition device.

9. A device for identifying abnormal noise sources, characterized in that, The abnormal noise source determination device includes a processor, a memory, and an abnormal noise source determination program stored in the memory and executable by the processor, wherein when the abnormal noise source determination program is executed by the processor, it implements the steps of the abnormal noise source determination method as described in any one of claims 1 to 5.

10. A readable storage medium, characterized in that, The readable storage medium stores an abnormal noise source determination program, wherein when the abnormal noise source determination program is executed by a processor, it implements the steps of the abnormal noise source determination method as described in any one of claims 1 to 5.

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