A front suspension system noise source positioning method, device and equipment

Abstract

The application relates to the technical field of vehicle testing, and discloses a front suspension system noise source positioning method, device and equipment, a plurality of preset positions are arranged on a front suspension system, and vibration sensors and microphones are arranged at the preset positions; the method comprises the following steps: collecting initial vibration signals at the preset positions through the vibration sensors, collecting audio signals at the preset positions through the microphones; frequency comparison is carried out according to the audio signals and the initial vibration signals, so that intermediate vibration signals matched with the frequency of the audio signals are determined in the initial vibration signals; the intermediate vibration signals are screened according to the inherent properties of parts where the preset positions are located, target vibration signals meeting preset noise conditions are determined; hyperboloid positioning is carried out based on the vibration starting time of the target vibration signals, and the position of a noise source is obtained. The beneficial effect is that the technical problem of a complicated chassis noise positioning method is solved, the noise needing to be processed is automatically screened, and the technical effect of directly determining the position of a corresponding noise source is achieved.

Description

Technical Field

[0001] This application relates to the field of vehicle testing technology, and in particular to a method, apparatus and equipment for locating noise sources in a front suspension system. Background Technology

[0002] In modern society, with the increasing vehicle ownership, automobiles have become an indispensable means of transportation. During vehicle use, chassis noise can occur due to various reasons, including design flaws and component failures. This noise not only affects the user's driving experience, but noise caused by component failures can also impact vehicle performance and safety. In actual testing, determining the exact location of chassis noise is difficult, and the cause requires specialized skills and repair experience from technicians. Therefore, chassis noise repairs typically require significant time and often yield unsatisfactory results. Current methods for locating chassis noise sources are complex and difficult to directly and quantitatively pinpoint. Summary of the Invention

[0003] This application provides a method, apparatus, and equipment for locating noise sources in a front suspension system, which solves the technical problem of cumbersome chassis noise location methods and achieves the technical effect of automatically screening noises that need to be processed and directly determining the location of the corresponding noise sources.

[0004] To achieve the above objectives, the main technical solutions adopted in this application include:

[0005] In a first aspect, embodiments of this application provide a method for locating noise sources in a front suspension system, wherein the front suspension system has several preset positions, and a vibration sensor and a microphone are disposed at each preset position; the method includes:

[0006] The vibration sensor acquires an initial vibration signal at the preset position, and the microphone acquires an audio signal at the preset position; wherein, the audio signal is noise that has traveled through the air from the noise source to the preset position.

[0007] A frequency comparison is performed between the audio signal and the initial vibration signal to determine an intermediate vibration signal in the initial vibration signal that matches the frequency of the audio signal; wherein, the intermediate vibration signal is a vibration that propagates from the noise source through the components of the front suspension system to the preset position;

[0008] The intermediate vibration signals are filtered according to the inherent properties of the parts at the preset positions to determine the target vibration signals that meet the preset noise conditions.

[0009] The location of the noise source is obtained by hyperboloid localization based on the start time of the target vibration signal.

[0010] The noise source localization method for the front suspension system proposed in this application utilizes a hyperboloid localization method to locate the noise source based on the time difference between target vibration signals at preset locations, achieving high-precision noise source localization. Simultaneously, by setting vibration sensors and microphones at preset locations, the method can directly detect noise signals propagating in the front suspension system, making it less susceptible to environmental influences and exhibiting strong anti-interference capabilities. Furthermore, this method also filters intermediate vibration signals corresponding to the noise signals based on the inherent properties of the components to determine the target vibration signal requiring processing, thereby quickly identifying the repair target and shortening the repair cycle.

[0011] By employing the hyperboloid positioning method, noise sources are located based on the time difference between target vibration signals at preset positions, achieving high-precision positioning. Furthermore, by placing vibration sensors and microphones at preset positions, noise signals propagating in the front suspension system can be directly detected, making it less susceptible to environmental influences and exhibiting strong anti-interference capabilities. In addition, this method filters intermediate vibration signals corresponding to the noise signals based on the inherent properties of the parts to determine the target vibration signal requiring processing, thereby quickly identifying the repair target and shortening repair time.

[0012] Optionally, the step of comparing the frequency of the audio signal and the initial vibration signal to determine an intermediate vibration signal in the initial vibration signal that matches the frequency of the audio signal includes:

[0013] Frequency deviation is calculated for multiple vibration peaks in the audio signal and the initial vibration signal, and the initial vibration signal with a frequency deviation lower than the frequency deviation threshold is taken as the intermediate vibration signal.

[0014] Optionally, the inherent properties include mass, stiffness, and natural frequency; the step of filtering the intermediate vibration signals based on the inherent properties of the part at the preset position to determine the target vibration signal that meets the preset noise conditions includes:

[0015] Based on the amplitude and frequency of the intermediate vibration signal, as well as the mass, stiffness, and natural frequency of the part at the preset position, the attention score of the intermediate vibration signal is evaluated to obtain a vibration attention score.

[0016] If the vibration attention score meets the preset noise condition, the intermediate vibration signal corresponding to the vibration attention score is determined as the target vibration signal.

[0017] Optionally, attention can be assessed using the following methods:

[0018] Based on the amplitude of the intermediate vibration signal, and the mass and stiffness of the part at the preset position, the vibration response of the part at the preset position is calculated to obtain the amplitude evaluation value.

[0019] Based on the frequency of the intermediate vibration signal and the natural frequency of the part at the preset position, a resonance calculation is performed on the part at the preset position to obtain a resonance evaluation value.

[0020] The intermediate vibration signal is evaluated based on the amplitude evaluation value and the resonance evaluation value to obtain the vibration attention score.

[0021] Optionally, the step of evaluating the intermediate vibration signal based on the amplitude assessment and the resonance assessment to obtain the vibration attention score includes:

[0022] The amplitude score of the intermediate vibration signal is determined based on the amplitude evaluation interval in which the amplitude evaluation value is located; wherein, the amplitude evaluation interval is set in stages according to the preset noise conditions;

[0023] The resonance score of the intermediate vibration signal is determined based on the resonance evaluation interval in which the resonance evaluation quantity is located; wherein, the resonance evaluation interval is set in stages according to the preset noise conditions;

[0024] The vibration attention score is obtained by weighting the amplitude score and the resonance score.

[0025] Optionally, the step of performing hyperbolic surface localization based on the start time of the target vibration signal to obtain the location of the noise source includes:

[0026] Based on the start times of the first target vibration signal and the second target vibration signal, a spatial hyperboloid passing through the noise source is determined; wherein, the first target vibration signal and the second target vibration signal are target vibration signals transmitted from the noise source to different preset positions;

[0027] Several spatial hyperboloids are obtained based on several sets of first target vibration signals and second target vibration signals, and the location of the noise source is determined based on the intersection positions between the several spatial hyperboloids.

[0028] Optionally, determining the spatial hyperboloid passing through the noise source based on the respective start times of the first target vibration signal and the second target vibration signal includes:

[0029] Based on the start-up time of the first target vibration signal and the second target vibration signal, the distance difference between the first distance and the second distance is determined; wherein, the first distance is the distance between the noise source and the first preset position, and the second distance is the distance between the noise source and the second preset position; the first preset position is the position where the first target vibration signal is collected, and the second preset position is the position where the second target vibration signal is collected;

[0030] Based on the distance difference, a spatial hyperboloid is constructed with the first preset position and the second preset position as focal points.

[0031] Optionally, the spatial hyperboloid takes the following form:

[0032]

[0033] in, S is the distance difference, x1, y1 and z1 are the coordinates of the first preset position, and x2, y2 and z2 are the coordinates of the second preset position.

[0034] Secondly, embodiments of this application provide a noise source localization device for a front suspension system, wherein the front suspension system has several preset positions, and a vibration sensor and a microphone are disposed at each preset position; the device includes:

[0035] The signal acquisition module is used to acquire an initial vibration signal at the preset position through the vibration sensor and to acquire an audio signal at the preset position through the microphone; wherein, the audio signal is noise that has traveled through the air from the noise source to the preset position;

[0036] A vibration determination module is used to compare the frequency of the audio signal and the initial vibration signal to determine an intermediate vibration signal in the initial vibration signal that matches the frequency of the audio signal; wherein the intermediate vibration signal is the vibration that propagates from the noise source through the components of the front suspension system to the preset position;

[0037] The target screening module is used to screen the intermediate vibration signals based on the inherent properties of the parts at the preset positions, and to determine the target vibration signals that meet the preset noise conditions.

[0038] The noise source localization module is used to perform hyperbolic surface localization based on the start time of the target vibration signal to obtain the location of the noise source.

[0039] Thirdly, embodiments of this application provide a computer device, including: a memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to perform the method described in any of the above embodiments.

[0040] Fourthly, embodiments of this application provide a computer-readable storage medium storing computer instructions, which are used to cause a computer to perform the method described in any one of the above embodiments.

[0041] Fifthly, embodiments of this application provide a computer program product, including computer instructions, which are used to cause a computer to perform the method described in any of the above embodiments. Attached Figure Description

[0042] To more clearly illustrate the technical solutions in the specific embodiments of this application or the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0043] Figure 1 A step diagram illustrating the method for locating noise sources in a front suspension system provided in this application embodiment;

[0044] Figure 2 This is a flowchart illustrating the steps of attention assessment in the embodiments of this application;

[0045] Figure 3 This is a step diagram of hyperboloid positioning in an embodiment of this application;

[0046] Figure 4 This is a diagram illustrating the steps involved in establishing a spatial hyperboloid in an embodiment of this application.

[0047] Figure 5a This is a signal diagram at the left turn lever during the noise source localization verification process in this application embodiment;

[0048] Figure 5b This is a signal diagram at the right turn lever during the noise source localization verification process in this application embodiment;

[0049] Figure 5c This is a signal diagram on the left steering knuckle during the noise source localization verification process in this application embodiment;

[0050] Figure 6 A block diagram of a noise source localization device for a front suspension system provided in an embodiment of this application;

[0051] Figure 7 This is a schematic diagram of the structure of a computer device provided in an embodiment of this application.

[0052] The reference numerals in the accompanying drawings are as follows: 100. Signal acquisition module, 200. Vibration determination module, 300. Target screening module, 400. Noise source localization module. Detailed Implementation

[0053] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0054] In modern society, with the gradual increase in vehicle ownership, automobiles have become an indispensable means of transportation. During the use of a car, noise may occur in the vehicle chassis due to various reasons, including design errors and component failures. This noise not only affects the user's driving experience, but noise caused by component failures may also affect the vehicle's performance and safety.

[0055] In actual testing, determining the exact location of chassis noise is challenging due to several factors: 1. When chassis noise is generated by multiple components, interference between different noise sources increases the difficulty of locating the source; 2. Noise signals are affected by reflection and resonance as they propagate through parts, making it difficult to pinpoint the corresponding vibration signal; 3. The propagation path of noise signals within parts is complex, making path analysis for locating the noise source highly difficult and complex. Furthermore, determining the cause of the noise requires specialized technical expertise and maintenance experience from technicians. Therefore, repairing chassis noise typically requires significant time investment, and the repair results are often unsatisfactory. Existing methods for locating chassis noise sources are complex and difficult to directly and quantitatively determine the noise source's location.

[0056] To address the aforementioned problems, this application provides a method, apparatus, and device for locating noise sources within the front suspension system of an automobile chassis. This method collects initial vibration and audio signals related to noise using vibration sensors and microphones located at multiple preset positions within the front suspension system. It then compares the frequencies of the initial vibration and audio signals to determine intermediate vibration signals corresponding to the noise from the initial vibration signals. Based on the inherent properties of the components at the preset positions, the intermediate vibration signals are filtered to determine the target vibration signal to be processed. Finally, based on the start time of the target vibration signal, the location of the noise source is determined using a hyperboloid positioning method.

[0057] This method, by setting vibration sensors and microphones at preset locations, can directly detect noise signals propagating in the front suspension system, reducing environmental impact. By comparing the frequencies of the initial vibration signal and the audio signal, the method can determine the vibration signal corresponding to the noise from the initial vibration signal, solving the cumbersome technical problem of chassis noise localization methods. It achieves the technical effect of automatically screening the noise that needs to be processed and directly determining the location of the corresponding noise source.

[0058] The noise source localization method for the front suspension system provided in this manual can be applied to the front suspension systems of different vehicle models, and correspondingly, it can also be applied to the rear suspension systems of the same vehicle. It is understood that, with adaptive modifications, this method can also be applied to other parts in the vehicle chassis to locate noise sources of different causes.

[0059] According to an embodiment of this application, a method for locating noise sources in a front suspension system is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0060] This embodiment provides a method for locating noise sources in a front suspension system, which can be used in the aforementioned vehicle front suspension system, with reference to... Figure 1 , Figure 1 A step diagram of the method for locating a noise source in a front suspension system provided in this application embodiment is shown in the figure. The front suspension system has several preset positions, and a vibration sensor and a microphone are installed at each preset position. The method includes:

[0061] S100. Acquire the initial vibration signal at the preset position through a vibration sensor, and acquire the audio signal at the preset position through a microphone; wherein, the audio signal is the noise that is transmitted from the noise source through the air to the preset position.

[0062] S200. Compare the frequencies of the audio signal and the initial vibration signal to determine an intermediate vibration signal that matches the frequency of the audio signal in the initial vibration signal; wherein the intermediate vibration signal is the vibration that propagates from the noise source through the parts of the front suspension system to a preset position.

[0063] S300. Based on the inherent properties of the part at the preset position, the intermediate vibration signals are filtered to determine the target vibration signal that meets the preset noise conditions.

[0064] S400. Hyperbolic surface localization is performed based on the start time of the target vibration signal to obtain the location of the noise source.

[0065] Noise in the front suspension system is abnormal sound caused by design problems or malfunctions of components. The location of the component that generates noise after being loaded due to these problems is the noise source. The noise emitted by the noise source propagates as a vibration signal within the component. To collect these vibration signals, multiple preset positions need to be set in the front suspension system. These preset positions are locations pre-defined on various components within the system to detect vibration signals at different locations. It should be noted that the preset positions can be selected based on the component's material, shape, structure, and connection method. Optional positions include, but are not limited to, the ends of the component, the middle position, stress concentration areas, and critical connection points. Vibration signals from the ends reflect the overall vibration of the component, vibration signals from the middle position reflect the basic modal characteristics, and vibration signals from stress concentration areas and critical connection points reflect the impact of vibration on the component's lifespan and performance. After identifying the noise source, the impact of the noise on the front suspension system can be further analyzed based on the characteristics of the vibration signals from each preset position.

[0066] Furthermore, the inherent properties of a component can be used to reflect the impact of vibration signals on the component. These inherent properties include, but are not limited to, the component's mass, the elastic modulus of the material used in the component, and the damping ratio. The mass of the component directly affects its response to vibration; a larger mass results in greater inertia and a slower response, leading to greater stability under vibration. The elastic modulus reflects the component's deformation capacity under vibration; a larger elastic modulus makes the component less prone to permanent deformation. The damping ratio reflects the rate of vibration decay within the component; a larger damping ratio results in a more significant suppression of vibration signals, thereby reducing the impact on the component itself and the front suspension system. In different embodiments, the inherent properties of the component can be selected according to actual requirements to quantitatively analyze the impact of vibration signals on the front suspension system.

[0067] Specifically, multiple preset positions are selected in the front suspension system, and vibration sensors and microphones are installed at these positions to collect signals emitted by the noise source. Each component in the front suspension system has at least two preset positions; when a component has two preset positions, these positions are located at either end of the component. The number and location of preset positions can also be determined based on the shape of the component. For example, if a component has a certain area on any plane, it will have at least three preset positions. It is understood that preset positions on the same component do not need to be on the same straight line; they can be evenly distributed across the component. The more preset positions a component has, the more signals are collected, and the higher the noise source localization accuracy. For components of high importance or those determined by experience to be prone to failure, multiple preset positions can be determined to improve the accuracy and speed of noise source localization and shorten the localization time. During calculations, preset positions on the same component are typically used as the data basis to ensure that the signal propagates at the same speed within the component.

[0068] Furthermore, the signals acquired at the preset position by the vibration sensor and microphone include an initial vibration signal and an audio signal. The audio signal is emitted from the noise source and propagates through the air to the preset position; the initial vibration signal is emitted from the noise source and propagates through the components of the front suspension system to the preset position. Since the vibration sensor and microphone are positioned at the same preset position, errors caused by positional differences are reduced, ensuring signal consistency. Compared to the initial vibration signal, the audio signal more clearly reflects the vibration characteristics of the noise and is less affected by vibrations from non-noise sources. Therefore, by comparing the frequency of the audio signal and the initial vibration signal, the signal corresponding to the noise source can be determined from the initial vibration signal.

[0069] In some embodiments, the audio signal acquired by the microphone propagates through the air, where high-frequency components of vibration are significantly attenuated, resulting in substantial loss of high-frequency information in the audio signal. The initial vibration signal acquired by the vibration sensor propagates through components of the front suspension system, and solid materials are more effective at transmitting high-frequency vibrations, thus retaining more high-frequency components in the initial vibration signal. By combining the audio signal and the initial vibration signal, and through their complementary components and inverse relationships, the noise characteristics emitted by the noise source can be reconstructed, providing a more accurate data foundation for subsequent noise source localization.

[0070] Furthermore, based on the inherent properties of the parts at the preset locations, intermediate vibration signals are filtered according to preset noise conditions to obtain target vibration signals. Among these, the noise corresponding to the intermediate vibration signals that meet the preset noise conditions has a significant impact on the user's driving experience and negatively affects vehicle performance and safety, requiring targeted repairs. By filtering based on preset noise conditions, noises with a significant impact on the vehicle can be quickly identified, improving repair efficiency and reducing the risks posed by noise causes to the vehicle.

[0071] Furthermore, when performing hyperbolic surface localization of the noise source based on the start time of the target vibration signal, the signal emitted by the noise source may be collected at all preset positions in the front suspension system. In this case, the start times of the target vibration signals at all preset positions are arranged sequentially from earliest to latest, and the earliest data points are selected to generate a spatial hyperbolic surface. For example, five data points can be selected. The later the start time, the greater the distance between the corresponding preset position and the noise source, and the more significant the attenuation of the target vibration signal, thus reducing the accuracy of noise source localization.

[0072] The noise source localization method for the front suspension system provided in this embodiment uses a hyperboloid localization method to locate the noise source based on the time difference between target vibration signals at various preset positions, achieving high-precision noise source localization. Simultaneously, by setting vibration sensors and microphones at preset positions, the method can directly detect noise signals propagating in the front suspension system, making it less susceptible to environmental influences and exhibiting strong anti-interference capabilities. Furthermore, this method also filters intermediate vibration signals corresponding to the noise signals based on the inherent properties of the parts to determine the target vibration signal requiring processing, thereby quickly identifying the repair target and shortening the repair cycle.

[0073] As one embodiment of this application, frequency comparison is performed between an audio signal and an initial vibration signal to determine an intermediate vibration signal in the initial vibration signal that matches the frequency of the audio signal, including:

[0074] S210. Calculate the frequency deviation of multiple vibration peaks in the audio signal and the initial vibration signal, and take the initial vibration signal with a frequency deviation lower than the frequency deviation threshold as the intermediate vibration signal.

[0075] Specifically, the frequency deviation takes the following form:

[0076] δ ν =H v -H m

[0077] Where, δ ν Indicates frequency deviation; H v H is the frequency of the initial vibration signal; m The frequency of the audio signal. Based on the frequency deviation δν The relationship between the frequency deviation threshold and the initial vibration signal that matches the audio signal frequency is determined as an intermediate vibration signal. For example, a phased frequency deviation threshold is taken; if δ... ν ∈[0,±2Hz], indicating that the frequencies of the initial vibration signal and the audio signal are very close, and the initial vibration signal can be used as the intermediate vibration signal; if δ ν ∈[0,±4Hz] and This indicates that the frequencies of the initial vibration signal and the audio signal are relatively close, which may occur when the preset position and the noise source are both far apart. It is necessary to determine, based on the actual situation, whether to use this initial vibration signal as the intermediate vibration signal; if the frequency deviation δ ν Outside the aforementioned range, it indicates a large deviation between the frequencies of the initial vibration signal and the audio signal, and there is no corresponding relationship between the two.

[0078] As one embodiment of this application, the inherent properties include mass, stiffness, and natural frequency; the intermediate vibration signals are filtered based on the inherent properties of the part at the preset position to determine the target vibration signal that meets the preset noise conditions, including:

[0079] S310. Based on the amplitude and frequency of the intermediate vibration signal, as well as the mass, stiffness, and natural frequency of the part at the preset position, evaluate the attention to the intermediate vibration signal and obtain a vibration attention score.

[0080] S320. If the vibration attention score meets the preset noise conditions, the intermediate vibration signal corresponding to the vibration attention score is determined as the target vibration signal.

[0081] Specifically, an intermediate vibration signal propagating from a noise source to a preset location will cause vibration in the component at that location. The impact of this vibration on the component can be calculated based on the amplitude and frequency of the intermediate vibration signal, as well as the component's mass, stiffness, and natural frequency. A vibration attention score is then obtained through attention assessment. The vibration attention score is compared with preset noise conditions. If the vibration attention score meets the preset noise conditions, it indicates that the intermediate vibration signal has a significant impact on the component at the preset location and requires special attention.

[0082] It is understood that preset noise conditions can be set according to actual needs. For example, preset noise conditions may include: component fatigue conditions, component damage conditions, component temperature conditions, and component strain conditions. Among them, component fatigue conditions refer to the number of times the component vibrates according to the propagated vibration signal exceeding the maximum number designed; component damage conditions refer to the damage occurring when the component vibrates according to the propagated vibration signal; component temperature conditions refer to the temperature rising when the component vibrates according to the propagated vibration signal and exceeding the upper limit of the temperature that the component can withstand; and component strain conditions refer to the stress change in the component exceeding the upper limit of the component's design when the component vibrates according to the propagated vibration signal.

[0083] Reference Figure 2 , Figure 2 The figure shows a flowchart illustrating the steps of attention assessment in an embodiment of this application. As one embodiment of this application, attention assessment is performed using the following method:

[0084] S312. Based on the amplitude of the intermediate vibration signal and the mass and stiffness of the part at the preset position, calculate the vibration response of the part at the preset position to obtain the amplitude evaluation value.

[0085] S314. Based on the frequency of the intermediate vibration signal and the natural frequency of the part at the preset position, perform resonance calculation on the part at the preset position to obtain the resonance evaluation quantity.

[0086] S316. Evaluate the intermediate vibration signal based on the amplitude assessment and resonance assessment to obtain the vibration attention score.

[0087] Specifically, the amplitude assessment quantity takes the following form:

[0088]

[0089] Where F represents the amplitude assessment value; T is the amplitude of the intermediate vibration signal; M is the mass of the part at the preset position; and K is the stiffness of the part at the preset position. The amplitude assessment value characterizes the magnitude of the vibration of the part at the preset position due to the intermediate vibration signal. It can be understood that the larger the amplitude assessment value, the greater the amplitude of the vibration of the part at the preset position with the intermediate vibration signal, which may cause damage to the part itself; furthermore, due to the vibration, the part may collide with other parts, leading to the breakage of multiple parts.

[0090] Furthermore, the form of the resonance assessment quantity is as follows:

[0091] δ r =H v -H p

[0092] Where, δ r H represents the resonance assessment quantity; p The natural frequency of the component at the preset position is given. The resonance assessment quantity characterizes the likelihood that the component at the preset position will resonate due to the intermediate vibration signal after being subjected to it. It can be understood that the higher the resonance assessment quantity, the more likely the component at the preset position is to resonate with the intermediate vibration signal, thus increasing the vibration amplitude of the component and potentially causing damage to the component and other components connected to it.

[0093] As one embodiment of this application, the intermediate vibration signal is evaluated based on the amplitude assessment value and the resonance assessment value to obtain a vibration attention score, including:

[0094] S317. Determine the amplitude score of the intermediate vibration signal based on the amplitude evaluation interval where the amplitude evaluation quantity is located; wherein, the amplitude evaluation interval is set in stages according to the preset noise conditions.

[0095] S318. Determine the resonance score of the intermediate vibration signal based on the resonance evaluation interval where the resonance evaluation quantity is located; wherein, the resonance evaluation interval is set in stages according to the preset noise conditions.

[0096] S319. The amplitude score and resonance score are weighted and calculated to obtain the vibration concern score.

[0097] Specifically, for the amplitude assessment value, the amplitude assessment interval is divided into three intervals. The first amplitude assessment interval is defined as follows: if the amplitude assessment value 1 ≤ F < 3, it indicates that the intermediate vibration signal may cause abnormal vibration for the part at the preset position. The second amplitude assessment interval is defined as follows: if the amplitude assessment value 3 ≤ F < 5, it indicates that the intermediate vibration signal has caused abnormal vibration for the part at the preset position. The third amplitude assessment interval is defined as follows: if the amplitude assessment value F ≥ 5, it indicates that the intermediate vibration signal has caused severe abnormal vibration for the part at the preset position, requiring special attention. It is understandable that the amplitude score is lowest in the first amplitude assessment interval, higher in the second amplitude assessment interval, and highest in the third amplitude assessment interval.

[0098] Furthermore, for the resonance evaluation quantity, the resonance evaluation interval is divided into three intervals, wherein the first resonance evaluation interval is: if the resonance evaluation quantity δ r ∈[-2Hz, 2Hz], indicating that the part at the preset position may resonate with the intermediate vibration signal; the second resonance evaluation interval is: if the resonance evaluation quantity δ r ∈[-5Hz, 5Hz] and This indicates that the part at the preset position resonates with the intermediate vibration signal; the third resonance evaluation interval is: if the resonance evaluation quantity δ r∈[-10Hz, 10Hz] and This indicates that the component at the preset position resonates with the intermediate vibration signal, and the resonance amplitude is large, requiring special attention. Understandably, the resonance score is lowest in the first resonance evaluation interval, higher in the second interval, and highest in the third interval.

[0099] Furthermore, the weighting coefficients for the amplitude score and resonance score can be determined based on the focus of attention in actual needs. The vibration attention score is calculated by weighting the amplitude score and resonance score. It can be understood that the higher the vibration attention score, the greater the impact of the intermediate vibration signal on the part at the preset position, and therefore the higher the attention.

[0100] Reference Figure 3 , Figure 3 The figure shows a step diagram of hyperboloid localization in an embodiment of this application. As an embodiment of this application, hyperboloid localization is performed based on the start time of the target vibration signal to obtain the location of the noise source, including:

[0101] S410. Determine the spatial hyperboloid passing through the noise source based on the start time of the first target vibration signal and the second target vibration signal respectively; wherein, the first target vibration signal and the second target vibration signal are target vibration signals transmitted from the noise source to different preset positions.

[0102] S420. Based on several sets of first target vibration signals and second target vibration signals, several spatial hyperboloids are obtained, and the location of the noise source is determined based on the intersection positions between the several spatial hyperboloids.

[0103] Specifically, due to the geometric properties of hyperboloids, the distance difference between any point on the hyperboloid surface and its corresponding two foci is a constant. Correspondingly, the distance between a noise source and different preset positions varies, and the difference between these distances is fixed according to the determined preset positions. Therefore, the hyperboloid can be used to represent the possible locations of the noise source, thereby enabling the localization of the noise source.

[0104] Furthermore, based on the determined sets of target vibration signals, several spatial hyperboloids are obtained. Corresponding to the target vibration signals emitted by the same noise source, these spatial hyperboloids should intersect at the same point, i.e., the location of the noise source. Therefore, the noise source can be located based on the focus of the spatial hyperboloids. It is understandable that the more spatial hyperboloids there are, the higher the accuracy of noise source location.

[0105] Reference Figure 4 , Figure 4The figure shows a step diagram for establishing a spatial hyperboloid in an embodiment of this application. As one embodiment of this application, the spatial hyperboloid passing through the noise source is determined based on the start times of the first target vibration signal and the second target vibration signal, including:

[0106] S412. Determine the distance difference between the first distance and the second distance based on the respective start times of the first target vibration signal and the second target vibration signal; wherein, the first distance is the distance between the noise source and the first preset position, and the second distance is the distance between the noise source and the second preset position; the first preset position is the position for collecting the first target vibration signal, and the second preset position is the position for collecting the second target vibration signal.

[0107] S414. Based on the distance difference, establish a spatial hyperboloid with the first preset position and the second preset position as the focal points.

[0108] Specifically, in the noise source localization process, there is a time difference in the propagation of the signal emitted by the noise source to different preset locations; that is, different preset locations have different oscillation start times. The form of the distance difference is as follows:

[0109] S = V·|T1-T2|

[0110] Where S represents the distance difference; V is the propagation speed of the target vibration signal; T1 is the start-up time at the first preset position; and T2 is the start-up time at the second preset position. In practice, the propagation speed of the target vibration signal is related to the material of the parts in the propagation path, and the actual propagation speed can be modified based on the noise source localization results. For example, if, according to the noise source localization results, the parts in the propagation path of the target vibration signal are made of two or more materials, then the propagation speed of the target vibration signal needs to be calculated segmentally according to the size of the parts. It should be noted that the above calculation method can improve the accuracy of localization, but it also increases the complexity of the method. To avoid this, multiple preset positions can be selected on a single part when setting up the vibration sensor and microphone, so that the parts in the propagation path of the target vibration signal are made of only one material, thereby reducing the impact of material on localization accuracy.

[0111] Furthermore, the front suspension system to be analyzed is placed in a global coordinate system. For example, the xy-plane of the global coordinate system is parallel to the horizontal plane, and the z-axis is perpendicular to the horizontal plane. When establishing the spatial hyperboloid, a local coordinate system is established with the midpoint between the first and second preset positions as the origin, the straight line passing through the first and second preset positions as the y-axis, the direction perpendicular to the y-axis and parallel to the horizontal plane as the x-axis, and the direction perpendicular to both the x-axis and y-axis as the z-axis. A spatial hyperboloid is then established within this local coordinate system. It is understood that since the first and second preset positions are known, the coordinate transformation relationship between the local and global coordinate systems is known. After transforming the coordinates of the noise source in the global coordinate system, the resulting coordinates of the noise source in the local coordinate system should satisfy the equations of the spatial hyperboloid.

[0112] As one embodiment of this application, the spatial hyperboloid takes the following form:

[0113]

[0114] in, S represents the distance difference, x1, y1, and z1 are the coordinates of the first preset position, and x2, y2, and z2 are the coordinates of the second preset position.

[0115] Specifically, since the first and second preset positions are known, the noise source must lie on a hyperboloid with the first and second preset positions as foci and a major axis of S / 2. Based on the form of the aforementioned spatial hyperboloid, several sets of spatial hyperboloids are established. Using a three-dimensional modeling method, the intersection points of these spatial hyperboloids are determined, thereby identifying the specific location of the noise source.

[0116] In some embodiments, after determining the noise source location according to the above steps, the results are verified. The verification method includes progressively detecting vibrations at multiple locations in the front suspension system and progressively determining the noise location and cause based on the detection results. For example, the noise source location method for the front suspension system provided in this application determines the noise source to be at the contact positions between the left and right steering knuckles and the wheel hub bearings.

[0117] During the verification process, vibration was first detected on each component of the front suspension system, including: left reducer plane bearing, left reducer lower spring disc, left stabilizer bar tie rod, left steering knuckle, left lower control arm, stabilizer bar, left half-shaft inner CV joint, left half-shaft outer CV joint, left rack and left steering tie rod, as well as corresponding components on the right side of the front suspension system. The instrument used to detect vibration can be the same vibration sensor as that in the front suspension system noise source localization method provided in this application, or it can be a handheld vibrometer, etc.

[0118] Reference Figure 5a and Figure 5b , Figure 5aThis is a signal diagram at the left turn lever during the noise source localization verification process in this application embodiment. Figure 5b This is a signal diagram at the right turn lever during the noise source localization verification process in this embodiment of the application. Figure 5a and Figure 5b The upper figure shows the detected signal, and the lower figure is a magnified schematic diagram of the target vibration signal. The horizontal axis of both the upper and lower figures represents time, and the vertical axis represents amplitude. Figure 5a and Figure 5b The data includes vibration signals collected in three directions when turning the steering wheel left and right while stationary. The signals for turning the steering wheel left are collected between 15 and 36 seconds, while those for turning the steering wheel right are collected between 58 and 76 seconds. Amplifying the signals within these time periods reveals that the signal amplitude corresponding to the left turn lever is highest when turning the steering wheel left, and the signal amplitude corresponding to the right turn lever is highest when turning the steering wheel right. Furthermore, the signal amplitude on the left turn lever is higher than the signal amplitude on the right turn lever, indicating that the noise source is closer to the left turn lever.

[0119] Secondly, based on the above results, more detection points were identified in the steering system. Three detection points were selected on both the left and right steering linkages, and detection points were added on the ball-pin-steering knuckle of the left and right steering linkages. Signal measurements revealed that the highest signal amplitude was observed when turning the steering wheel left while stationary, corresponding to the ball-pin-steering knuckle of the left steering linkage, and also relatively high for the ball-pin-steering knuckle of the right steering linkage. Conversely, the highest signal amplitude was observed when turning the steering wheel right while stationary, corresponding to the ball-pin-steering knuckle of the right steering linkage, and also relatively high for the ball-pin-steering knuckle of the left steering linkage. Therefore, the noise source was closer to the ball-pins on both sides. Inspection of the ball-pins revealed torque attenuation; retightening the ball-pins did not eliminate the noise.

[0120] Furthermore, based on the above results, more testing points were determined on both steering knuckles. Specifically, three testing points were selected on the left steering knuckle, and a testing point was added at the lower mounting point of the left shock absorber. (Refer to...) Figure 5c , Figure 5c This is a signal diagram on the left steering knuckle during the noise source localization verification process in this embodiment of the application. Figure 5c The upper image shows the detected signal, and the lower image is a magnified schematic diagram of the target vibration signal. In both the upper and lower images, the horizontal axis represents time, and the vertical axis represents amplitude. Figure 5c The data only includes vibration signals collected in three directions when the steering wheel is turned left while stationary. Amplifying the signals within the corresponding time period reveals that the signal amplitudes at four detection points on the left steering knuckle are relatively high, indicating the presence of a noise source on the left steering knuckle.

[0121] Accordingly, the selected test points on the right steering knuckle included: three test points on the right shock absorber, the right steering knuckle, the right steering knuckle-control arm, and the right steering tie rod ball joint-steering knuckle. After signal measurement, it was found that noise still existed after reducing the interference of the drive system, and the signal amplitude of the right steering tie rod ball joint-steering knuckle was the highest, which can be considered as a noise source on the right steering knuckle.

[0122] Finally, based on the verification results, adhesive tape was pasted on the mating surfaces of the wheel hub bearing and the left and right steering knuckles. After testing, wear marks were found on the adhesive tape, which determined that this was the specific location of the noise source. The location was the same as that determined by the noise source location method of the front suspension system provided in this application, proving the effectiveness of this method.

[0123] As one embodiment of this application, after determining the location of the noise source based on the noise source localization method for the front suspension system provided in this application, a finite element model of the front suspension system can be performed to obtain a test model, which includes a front suspension system model and a tire model. By applying the same load as in actual road testing to the tire model, the test model is simulated under actual working conditions to obtain simulation data about the front suspension system. The types of simulation data include, but are not limited to, pressure changes on the contact surfaces of parts, deformation of parts, and stress magnitude of parts. Based on the obtained simulation data, the cause of the noise source is specifically analyzed. For example, if there is a deformation mismatch between any two parts resulting in contact friction, then the noise source at that location is friction noise. After determining the cause of the noise source, the front suspension system can be updated based on the test model to eliminate the noise source.

[0124] Accordingly, please refer to Figure 6 This application provides a noise source localization device for a front suspension system. The front suspension system has several preset positions, and a vibration sensor and a microphone are installed at each preset position. The device includes:

[0125] The signal acquisition module 100 is used to acquire the initial vibration signal at the preset position through the vibration sensor and to acquire the audio signal at the preset position through the microphone; wherein, the audio signal is the noise that is transmitted from the noise source through the air to the preset position.

[0126] The vibration determination module 200 is used to compare the frequency of the audio signal and the initial vibration signal to determine the intermediate vibration signal that matches the frequency of the audio signal in the initial vibration signal; wherein the intermediate vibration signal is the vibration that propagates from the noise source through the parts of the front suspension system to a preset position.

[0127] The target screening module 300 is used to screen intermediate vibration signals based on the inherent properties of the parts at preset positions, and to determine the target vibration signals that meet the preset noise conditions.

[0128] The noise source localization module 400 is used to perform hyperbolic surface localization based on the start time of the target vibration signal to obtain the location of the noise source.

[0129] In some alternative implementations, the vibration determination module 200 includes:

[0130] The intermediate vibration signal determination unit is used to calculate the frequency deviation of multiple vibration peaks in the audio signal and the initial vibration signal, and to take the initial vibration signal with a frequency deviation lower than the frequency deviation threshold as the intermediate vibration signal.

[0131] In some alternative implementations, the target filtering module 300 includes:

[0132] The attention assessment unit is used to assess the attention of intermediate vibration signals based on the amplitude and frequency of the intermediate vibration signal, as well as the mass, stiffness, and natural frequency of the part at the preset position, and obtain a vibration attention score.

[0133] The target vibration signal determination unit is used to determine the target vibration signal. If the vibration attention score meets the preset noise conditions, the intermediate vibration signal corresponding to the vibration attention score is determined as the target vibration signal.

[0134] In some optional implementations, the attention assessment unit includes:

[0135] The amplitude evaluation subunit is used to calculate the vibration response of the part at the preset position based on the amplitude of the intermediate vibration signal and the mass and stiffness of the part at the preset position, so as to obtain the amplitude evaluation quantity.

[0136] The resonance evaluation subunit is used to perform resonance calculations on the part at the preset position based on the frequency of the intermediate vibration signal and the natural frequency of the part at the preset position, and obtain the resonance evaluation quantity.

[0137] The vibration assessment subunit is used to assess intermediate vibration signals based on amplitude assessment and resonance assessment to obtain a vibration attention score.

[0138] In some alternative implementations, the vibration assessment subunit includes:

[0139] The amplitude scoring component is used to determine the amplitude score of the intermediate vibration signal based on the amplitude evaluation interval in which the amplitude evaluation quantity is located; wherein, the amplitude evaluation interval is set in stages according to preset noise conditions.

[0140] The resonance scoring component is used to determine the resonance score of the intermediate vibration signal based on the resonance evaluation interval in which the resonance evaluation quantity is located; wherein, the resonance evaluation interval is set in stages according to preset noise conditions.

[0141] The attention score component is used to calculate the vibration attention score by weighting the amplitude score and the resonance score.

[0142] In some alternative implementations, the noise source localization module 400 includes:

[0143] The hyperboloid determination unit is used to determine the spatial hyperboloid passing through the noise source based on the start times of the first target vibration signal and the second target vibration signal, wherein the first target vibration signal and the second target vibration signal are target vibration signals transmitted from the noise source to different preset positions.

[0144] The noise source determination unit is used to obtain several spatial hyperboloids based on several sets of first target vibration signals and second target vibration signals, and to determine the location of the noise source based on the intersection position between the several spatial hyperboloids.

[0145] In some alternative implementations, the hyperboloid determination unit includes:

[0146] The difference determination subunit is used to determine the distance difference between the first distance and the second distance based on the start time of the first target vibration signal and the second target vibration signal, respectively; wherein, the first distance is the distance between the noise source and the first preset position, and the second distance is the distance between the noise source and the second preset position; the first preset position is the position where the first target vibration signal is collected, and the second preset position is the position where the second target vibration signal is collected.

[0147] The hyperboloid creation sub-unit is used to create a spatial hyperboloid with a first preset position and a second preset position as foci based on the distance difference.

[0148] In some alternative implementations, the spatial hyperboloid takes the form of:

[0149]

[0150] in, S represents the distance difference, x1, y1, and z1 are the coordinates of the first preset position, and x2, y2, and z2 are the coordinates of the second preset position.

[0151] Further functional descriptions of the above modules and units are the same as those in the corresponding embodiments described above, and will not be repeated here.

[0152] In this embodiment, the noise source localization device for the front suspension system is presented in the form of a functional unit. Here, a unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that execute one or more software or fixed programs, and / or other devices that can provide the above functions.

[0153] Please see Figure 7 , Figure 7 This is a schematic diagram of a computer device according to an embodiment of this application. As shown in the figure, the computer device includes one or more processors 10, a memory 20, and interfaces for connecting the various components, including high-speed interfaces and low-speed interfaces. The various components communicate with each other using different buses and can be mounted on a common motherboard or otherwise installed as needed. The processors can process instructions executed within the computer device, including instructions stored in or on memory to display graphical information of a GUI on an external input / output device (such as a display device coupled to the interface). In some alternative embodiments, multiple processors and / or multiple buses can be used with multiple memories and multiple memory modules, if desired. Similarly, multiple computer devices can be connected, each providing some of the necessary operations (e.g., as a server array, a group of blade servers, or a multiprocessor system). Figure 7 Take a processor 10 as an example.

[0154] Processor 10 may be a central processing unit, a network processor, or a combination thereof. Processor 10 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The programmable logic device may be a complex programmable logic device (CAMP), a field-programmable gate array (FPGA), a general-purpose array logic (GDA), or any combination thereof.

[0155] The memory 20 stores instructions executable by at least one processor 10 to cause at least one processor 10 to perform the method shown in the above embodiments.

[0156] The memory 20 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the computer device. Furthermore, the memory 20 may include high-speed random access memory and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some alternative embodiments, the memory 20 may optionally include memory remotely located relative to the processor 10, which can be connected to the computer device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0157] The memory 20 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as flash memory, hard disk or solid-state drive; the memory 20 may also include a combination of the above types of memory.

[0158] The computer device also includes a communication interface 30 for communicating with other devices or communication networks.

[0159] This application also provides a computer-readable storage medium. The methods described in this application can be implemented in hardware or firmware, or implemented as recordable on a storage medium, or implemented as computer code downloaded over a network and originally stored on a remote storage medium or a non-transitory machine-readable storage medium and subsequently stored on a local storage medium. Thus, the methods described herein can be processed by software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, optical disk, read-only memory, random access memory, flash memory, hard disk, or solid-state drive, etc.; further, the storage medium can also include combinations of the above types of memory. It is understood that computers, processors, microprocessor controllers, or programmable hardware include storage components capable of storing or receiving software or computer code. When the software or computer code is accessed and executed by the computer, processor, or hardware, the methods shown in the above embodiments are implemented.

[0160] This application provides a computer program product including computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the method of any embodiment of this application.

[0161] Although embodiments of this application have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of this application, and all such modifications and variations fall within the scope defined by the appended claims.

[0162] The systems, devices, modules, or units described in the above embodiments can be implemented by computer chips or entities, or by products with certain functions. A typical implementation device is a computer. Specifically, a computer can be, for example, a personal computer, laptop computer, cellular phone, camera phone, smartphone, personal digital assistant, media player, navigation device, email device, game console, tablet computer, wearable device, or any combination of these devices.

[0163] For ease of description, the above devices are described separately by function as various units. Of course, in implementing this application, the functions of each unit can be implemented in one or more software and / or hardware.

[0164] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0165] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0166] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0167] These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable apparatus for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0168] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. 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 apparatus that includes that element.

[0169] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to interchangeably. Each embodiment focuses on describing the differences from other embodiments. In particular, the system embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions in the method embodiments.

[0170] The above are merely embodiments of this application and are not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

[0171] Although embodiments of this application have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of this application, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. A method for locating noise sources in a front suspension system, characterized in that, The front suspension system has several preset positions, and a vibration sensor and a microphone are installed at each preset position; the method includes: The vibration sensor acquires an initial vibration signal at the preset position, and the microphone acquires an audio signal at the preset position; wherein, the audio signal is noise that has traveled through the air from the noise source to the preset position. A frequency comparison is performed between the audio signal and the initial vibration signal to determine an intermediate vibration signal in the initial vibration signal that matches the frequency of the audio signal; wherein, the intermediate vibration signal is a vibration that propagates from the noise source through the components of the front suspension system to the preset position; Based on the amplitude of the intermediate vibration signal and the mass and stiffness of the part at the preset position, the vibration response of the part at the preset position is calculated to obtain an amplitude evaluation value; based on the frequency of the intermediate vibration signal and the natural frequency of the part at the preset position, resonance calculation is performed on the part at the preset position to obtain a resonance evaluation value; based on the amplitude evaluation interval in which the amplitude evaluation value is located, the amplitude score of the intermediate vibration signal is determined; wherein, the amplitude evaluation interval is set in stages according to preset noise conditions; based on the resonance evaluation interval in which the resonance evaluation value is located, the resonance score of the intermediate vibration signal is determined; wherein, the resonance evaluation interval is set in stages according to preset noise conditions; the amplitude score and the resonance score are weighted and calculated to obtain a vibration attention score; if the vibration attention score meets the preset noise conditions, the intermediate vibration signal corresponding to the vibration attention score is determined as the target vibration signal; wherein, the form of the amplitude evaluation value is as follows: in, This represents the amplitude assessment value; The amplitude of the intermediate vibration signal; The mass of the part located at the preset position; The stiffness of the component at the preset position; the form of the resonance evaluation quantity is as follows: in, This represents the resonance evaluation quantity; The natural frequency of the part at the preset position; The location of the noise source is obtained by hyperboloid localization based on the start time of the target vibration signal.

2. The method according to claim 1, characterized in that, The step of comparing the frequency of the audio signal and the initial vibration signal to determine an intermediate vibration signal in the initial vibration signal that matches the frequency of the audio signal includes: Frequency deviation is calculated for multiple vibration peaks in the audio signal and the initial vibration signal, and the initial vibration signal with a frequency deviation lower than the frequency deviation threshold is taken as the intermediate vibration signal.

3. The method according to claim 1, characterized in that, The hyperboloid localization based on the start time of the target vibration signal to obtain the location of the noise source includes: Based on the start times of the first target vibration signal and the second target vibration signal, a spatial hyperboloid passing through the noise source is determined; wherein, the first target vibration signal and the second target vibration signal are target vibration signals transmitted from the noise source to different preset positions; Several spatial hyperboloids are obtained based on several sets of first target vibration signals and second target vibration signals, and the location of the noise source is determined based on the intersection positions between the several spatial hyperboloids.

4. The method according to claim 3, characterized in that, Determining the spatial hyperboloid passing through the noise source based on the respective start times of the first and second target vibration signals includes: Based on the start-up time of the first target vibration signal and the second target vibration signal, the distance difference between the first distance and the second distance is determined; wherein, the first distance is the distance between the noise source and the first preset position, and the second distance is the distance between the noise source and the second preset position; the first preset position is the position where the first target vibration signal is collected, and the second preset position is the position where the second target vibration signal is collected; Based on the distance difference, a spatial hyperboloid is constructed with the first preset position and the second preset position as focal points.

5. The method according to claim 4, characterized in that, The spatial hyperboloid takes the following form: in, , ; The distance difference is... , and The coordinates of the first preset position are... , and The coordinates are the coordinates of the second preset position.

6. A noise source location device for a front suspension system, characterized in that, The front suspension system has several preset positions, and a vibration sensor and a microphone are installed at each preset position; the device includes: The signal acquisition module is used to acquire an initial vibration signal at the preset position through the vibration sensor and to acquire an audio signal at the preset position through the microphone; wherein, the audio signal is noise that has traveled through the air from the noise source to the preset position; A vibration determination module is used to compare the frequency of the audio signal and the initial vibration signal to determine an intermediate vibration signal in the initial vibration signal that matches the frequency of the audio signal; wherein the intermediate vibration signal is the vibration that propagates from the noise source through the components of the front suspension system to the preset position; The target screening module is used to calculate the vibration response of the part at the preset position based on the amplitude of the intermediate vibration signal and the mass and stiffness of the part at the preset position, obtaining an amplitude evaluation quantity; to calculate the resonance of the part at the preset position based on the frequency of the intermediate vibration signal and the natural frequency of the part at the preset position, obtaining a resonance evaluation quantity; to determine the amplitude score of the intermediate vibration signal based on the amplitude evaluation interval in which the amplitude evaluation quantity is located; wherein the amplitude evaluation interval is set in stages according to preset noise conditions; to determine the resonance score of the intermediate vibration signal based on the resonance evaluation interval in which the resonance evaluation quantity is located; wherein the resonance evaluation interval is set in stages according to preset noise conditions; to perform a weighted calculation on the amplitude score and the resonance score to obtain a vibration attention score; if the vibration attention score meets the preset noise conditions, the intermediate vibration signal corresponding to the vibration attention score is determined as the target vibration signal; wherein the amplitude evaluation quantity is in the following form: in, This represents the amplitude assessment value; The amplitude of the intermediate vibration signal; The mass of the part located at the preset position; The stiffness of the component at the preset position; the form of the resonance evaluation quantity is as follows: in, This represents the resonance evaluation quantity; The natural frequency of the part at the preset position; The noise source localization module is used to perform hyperbolic surface localization based on the start time of the target vibration signal to obtain the location of the noise source.

7. A computer device, characterized in that, include: A memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, the processor executing the computer instructions to perform the method of any one of claims 1 to 5.

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