Tire pattern noise prediction method and device and nonvolatile storage medium

Abstract

The invention discloses a prediction method and device for tread pattern noise and a nonvolatile storage medium. The method comprises the steps that a target tread pattern is obtained, a first contour line and a second contour line of the target tread pattern are obtained, the first contour line is used for indicating the front edge shape of the target tread pattern when the target tread pattern makes contact with the ground, and the second contour line is used for indicating the rear edge shape of the target tread pattern when the target tread pattern leaves the ground; determining a first matrix based on the first contour line, the second contour line and the target tread pattern; elements in the first matrix are converted into attenuation sinusoidal signals, a second matrix is obtained, and the attenuation sinusoidal signals are used for simulating sound pressure change information of noise generated when the pattern blocks impact the ground; and determining a first noise of the target tread pattern based on the second matrix. According to the method and the device, the technical problem of inaccurate precision caused by no consideration of a sound wave model of pattern block or pattern groove sound production during prediction of the tread pattern noise and a mark shape generated when the tire is grounded in the prior art is solved.

Description

Technical Field

[0001] The present application relates to the field of tire technology, and in particular to a method and device for predicting tire pattern noise and a non-volatile storage medium. Background Art

[0002] Road noise, a significant source of pollution, has garnered widespread attention. This issue has become even more prominent in recent years, particularly with the growing electric vehicle market. Since electric vehicles don't require engines, eliminating engine noise, a primary source of noise, tire noise becomes the primary contributor to road noise at low and medium speeds. For these reasons, tire manufacturers are increasingly demanding higher noise standards. Constantly testing new tires, producing molds, or carving tires to meet these standards results in significant waste of manpower and resources. Therefore, using simulation methods, such as calculations or analytical algorithms, to evaluate and improve tire noise during the design phase has become a necessary and appropriate approach for major tire manufacturers. Simulation relies on finite element software to perform three-dimensional modeling and calculations, constructing a complete tire model. However, due to the complexity of tire and tread models, particularly tread pattern modeling, this process is time-consuming and difficult to achieve, effectively and rapidly assessing and comparing tread noise. Related technologies often fail to consider acoustic wave models of tread blocks or grooves when predicting tire tread noise, relying solely on variations in void ratio or failing to consider the shape of the tire's contact patch, resulting in inaccurate results.

[0003] To address the above-mentioned problems, no effective solutions have been proposed so far. Summary of the Invention

[0004] The embodiments of the present application provide a method, device, and non-volatile storage medium for predicting tire pattern noise to at least address the technical problem in the related art of inaccurate prediction of tire pattern noise due to failure to consider the acoustic wave model of the sound produced by the tread blocks or grooves and the shape of the footprint produced when the tire touches the ground.

[0005] According to one aspect of an embodiment of the present application, a method for predicting tire pattern noise is provided, comprising: obtaining a target tread pattern and obtaining a first contour line and a second contour line of the target tread pattern, wherein the first contour line is used to indicate a leading edge shape of the target tread pattern when it contacts the ground, and the second contour line is used to indicate a trailing edge shape of the target tread pattern when it leaves the ground; determining a first matrix based on the first contour line, the second contour line and the target tread pattern, wherein the first matrix is ​​used to represent length information of intersections of pattern blocks in the target tread pattern with the first contour line and the second contour line; converting elements in the first matrix into an attenuated sinusoidal signal to obtain a second matrix, wherein the attenuated sinusoidal signal is used to simulate sound pressure change information of noise generated by pattern blocks hitting the ground; and determining a first noise of the target tread pattern based on the second matrix.

[0006] In some embodiments of the present application, the target tread pattern is a two-dimensional tread pattern model pre-constructed based on a preset pattern type, wherein the target tread pattern includes different types of pattern block pitches.

[0007] In some embodiments of the present application, a first matrix is ​​determined based on the first contour line, the second contour line and the target tread pattern, including: scanning different types of block pitches with the first contour line and the second contour line respectively to obtain multiple block pitch matrices, wherein each type of block pitch corresponds to a block pitch matrix; and superimposing and combining the multiple block pitch matrices according to the arrangement order and phase relationship of the block pitches to obtain the first matrix.

[0008] In some embodiments of the present application, the method further includes: when the target tread pattern is a symmetrical pattern, taking the center line as a reference, moving each group of symmetrical pattern ribs in opposite directions by the same distance, and updating the second matrix, wherein, when the pattern blocks on both sides of the center line of the target tread pattern are symmetrical based on the center line, the target tread pattern is determined to be a symmetrical pattern; re-determining the second noise of the target tread pattern based on the updated second matrix; and when the value of the second noise is less than the value of the first noise, replacing the second noise with the first noise.

[0009] In some embodiments of the present application, a first matrix is ​​determined based on a first contour line, a second contour line and a target tread pattern, including: moving the first contour line and the second contour line along the circumferential direction of the target tread pattern at a preset step length, wherein the circumferential direction is used to indicate that the target tread pattern rotates forward or reversely for one circle; determining the number of movements of the first contour line and the second contour line along the circumferential direction of the target tread pattern at a preset step length based on the preset step length and the circumferential direction; after the first contour line and the second contour line are moved for the first time at a preset step length along the circumferential direction of the target tread pattern, performing a Boolean sum operation on the first contour line and the second contour line and the target tread pattern to determine an initial first matrix; continuing to move the first contour line and the second contour line along the circumferential direction of the target tread pattern at a preset step length, and updating the initial first matrix, until the movement is stopped after the number of movements is reached, to obtain the first matrix.

[0010] In some embodiments of the present application, a Boolean sum operation is performed on the first contour line, the second contour line, and the target tread pattern to determine an initial first matrix, including: performing a Boolean operation on each pattern rib in the target tread pattern and the first contour line and the second contour line respectively to determine the length information of the intersection line of each pattern rib with the first contour line and the second contour line, wherein the intersection line is a line segment obtained by connecting the intersection points of the pattern rib with the first contour line and the second contour line; and determining the initial first matrix based on the number of pattern ribs in the target tread pattern, the length information of the intersection line, and the number of movements.

[0011] In some embodiments of the present application, elements in a first matrix are converted into attenuated sinusoidal signals to obtain a second matrix, including: converting the value of each element in the first matrix into the amplitude of the attenuated sinusoidal signal; obtaining the arrangement order of all elements in the first matrix; and superimposing and synthesizing the amplitudes of the converted attenuated sinusoidal signals according to the arrangement order to obtain the second matrix.

[0012] In some embodiments of the present application, determining the first noise of the target tread pattern based on the second matrix includes: multiplying each signal value in the second matrix by a preset coefficient to obtain a third matrix; adjusting the third matrix based on the distance difference between the first contour line and the second contour line and a preset sounding coefficient to obtain a fourth matrix; performing a fast Fourier transform on the fourth matrix to obtain a frequency domain signal; and determining the first noise of the target tread pattern based on the frequency domain signal.

[0013] According to another aspect of an embodiment of the present application, a device for predicting tire pattern noise is also provided, including: an acquisition module for acquiring a target tread pattern and acquiring a first contour line and a second contour line of the target tread pattern, wherein the first contour line is used to indicate a leading edge shape of the target tread pattern when it contacts the ground, and the second contour line is used to indicate a trailing edge shape of the target tread pattern when it leaves the ground; a first determination module for determining a first matrix based on the first contour line, the second contour line and the target tread pattern, wherein the first matrix is ​​used to represent length information of intersection lines of pattern blocks in the target tread pattern with the first contour line and the second contour line; a conversion module for converting elements in the first matrix into an attenuated sinusoidal signal to obtain a second matrix, wherein the attenuated sinusoidal signal is used to simulate sound pressure change information of noise generated by pattern blocks hitting the ground; and a second determination module for determining the first noise of the target tread pattern based on the second matrix.

[0014] According to another aspect of an embodiment of the present application, a non-volatile storage medium is provided, in which a program is stored. When the program is executed, the device where the non-volatile storage medium is located is controlled to execute the above-mentioned tire pattern noise prediction method.

[0015] According to another aspect of an embodiment of the present application, an electronic device is provided, including: a memory and a processor, wherein the processor is configured to run a program stored in the memory, wherein the above-mentioned tire pattern noise prediction method is executed when the program is run.

[0016] According to another aspect of an embodiment of the present application, a computer program product is further provided, comprising computer instructions, which implement the above-mentioned tire pattern noise prediction method when executed by a processor.

[0017] In an embodiment of the present application, a target tread pattern is obtained and a first contour line and a second contour line of the target tread pattern are obtained, wherein the first contour line is used to indicate the leading edge shape of the target tread pattern when it contacts the ground, and the second contour line is used to indicate the trailing edge shape of the target tread pattern when it leaves the ground; a first matrix is ​​determined based on the first contour line, the second contour line and the target tread pattern, wherein the first matrix is ​​used to represent the length information of the intersection of the pattern block in the target tread pattern and the first contour line and the second contour line; the elements in the first matrix are converted into an attenuated sinusoidal signal to obtain a second matrix, wherein the attenuated sinusoidal signal is used to simulate the sound pressure change information of the noise generated by the pattern block hitting the ground; a first noise of the target tread pattern is determined based on the second matrix by obtaining The first contour line and the second contour line of the target tread pattern are taken into consideration to consider the shape of the footprint produced when the tire touches the ground. A first matrix is ​​determined based on the first contour line, the second contour line and the target tread pattern. The elements in the first matrix are converted into an attenuated sinusoidal signal. The attenuated sinusoidal signal is used to simulate the sound pressure change information of the noise generated by the pattern block hitting the ground, thereby determining the second matrix. The first noise of the target tread pattern is determined based on the second matrix, thereby achieving the purpose of considering the sound wave model of the sound of the pattern block or pattern groove and the shape of the footprint produced when the tire touches the ground when predicting the noise, thereby solving the technical problem of inaccurate precision caused by not considering the sound wave model of the sound of the pattern block or pattern groove and the shape of the footprint produced when the tire touches the ground when predicting the noise in the related art. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0019] Figure 1 This is a hardware structure block diagram of a computer terminal for implementing a tire pattern noise prediction method provided in an embodiment of the present application;

[0020] Figure 2 1 is a flow chart of a method for predicting tire tread noise according to an embodiment of the present application;

[0021] Figure 3 This is a schematic diagram of the front / trailing edge profile of an impression provided according to an embodiment of the present application;

[0022] Figure 4 This is a schematic diagram of pattern scanning provided according to an embodiment of the present application;

[0023] Figure 5 is a schematic diagram of a decaying sine wave provided according to an embodiment of the present application;

[0024] Figure 6This is a time domain signal diagram of a rib provided according to an embodiment of the present application;

[0025] Figure 7 This is a pattern noise prediction result diagram provided according to an embodiment of the present application;

[0026] Figure 8 is a diagram of dislocation optimization results provided according to an embodiment of the present application;

[0027] Figure 9 3 is a schematic structural diagram of a tire pattern noise prediction device provided according to an embodiment of the present application. DETAILED DESCRIPTION

[0028] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of this application.

[0029] The information collected in the embodiments of the present application is information and data authorized by the user or fully authorized by all parties, and the collection, storage, use, processing, transmission, provision, disclosure and application of the relevant data comply with the relevant laws, regulations and standards of the relevant regions, take necessary confidentiality measures, do not violate public order and good morals, and provide corresponding operation entrances for users to choose to authorize or reject the automated decision results; if the user chooses to reject, the expert decision-making process will be entered.

[0030] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in a sequence other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0031] In order to better understand the embodiments of the present application, the technical terms involved in the embodiments of the present application are explained as follows:

[0032] Ribs are a key structural element in tire design. They are strips of patterned material that extend along the circumference of the tire's tread. In a cross-sectional view of a tire, ribs typically appear as horizontal stripes separated by grooves. These grooves allow water to drain, reducing aquaplaning and providing additional grip when the tire contacts the road. Ribs can be regular or irregular in design, with varying pitches, shapes, and depths to suit different road conditions and usage environments.

[0033] Related technologies fail to consider the acoustic wave models of tread blocks or grooves when predicting tire tread noise, relying solely on variations in void ratio or ignoring the shape of the tire's contact patch, impacting accuracy. To address this issue, the present application provides a solution, detailed below.

[0034] According to an embodiment of the present application, a method embodiment of a method for predicting tire pattern noise is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0035] The method embodiments provided in the embodiments of the present application can be executed in a mobile terminal, a computer terminal or a similar computing device. Figure 1 The hardware structure block diagram of a computer terminal for implementing a method for predicting tire pattern noise is shown in FIG. Figure 1 As shown, the computer terminal 10 may include one or more (illustrated as 102a, 102b, ..., 102n in the figure) processors 102 (the processor 102 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA), a memory 104 for storing data, and a transmission module 106 for communication functions. In addition, it may also include: a display, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of the BUS bus), a network interface, a power supply and / or a camera. It will be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the above electronic device. Figure 1 More or fewer components than shown, or with Figure 1 Different configurations shown.

[0036] It should be noted that the one or more processors 102 and / or other data processing circuits described above may generally be referred to herein as "data processing circuitry." The data processing circuitry may be embodied in whole or in part as software, hardware, firmware, or any other combination thereof. Furthermore, the data processing circuitry may be a single, independent processing module, or may be incorporated in whole or in part into any of the other components of the computer terminal 10. As described in the embodiments of the present application, the data processing circuitry serves as a processor control (e.g., selection of a variable resistor terminal path connected to an interface).

[0037] Memory 104 can be used to store software programs and modules for application software, such as the program instructions / data storage device corresponding to the tire tread noise prediction method in the embodiments of the present application. Processor 102 executes the software programs and modules stored in memory 104 to perform various functional applications and data processing, thereby implementing the aforementioned tire tread noise prediction method. Memory 104 can include high-speed random access memory (RAM) and non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, memory 104 can further include memory remotely located relative to processor 102, which can be connected to computer terminal 10 via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0038] The transmission device 106 is configured to receive or transmit data via a network. A specific example of the aforementioned network may include a wireless network provided by the communications provider of the computer terminal 10. In one embodiment, the transmission device 106 includes a network interface controller (NIC), which can be connected to other network devices via a base station to enable communication with the Internet. In another embodiment, the transmission device 106 may be a radio frequency (RF) module, which is configured to communicate with the Internet wirelessly.

[0039] The display may be, for example, a touch screen liquid crystal display (LCD) that enables a user to interact with a user interface of the computer terminal 10 .

[0040] In the above operating environment, the embodiment of the present application provides a flow chart of a method for predicting tire pattern noise, such as Figure 2 As shown, including:

[0041] Step S202, obtaining a target tread pattern and obtaining a first contour line and a second contour line of the target tread pattern, wherein the first contour line is used to indicate the leading edge shape of the target tread pattern when it contacts the ground, and the second contour line is used to indicate the trailing edge shape of the target tread pattern when it leaves the ground.

[0042] In the technical solution provided in step S202, the target tread pattern is a pre-built two-dimensional tread pattern model based on a preset pattern type. The target tread pattern includes different types of tread block pitches. By constructing a two-dimensional tread pattern model, the type and number of tread blocks can be flexibly adjusted, making it applicable to a variety of tire designs and improving the versatility and adaptability of the prediction method.

[0043] The following is a specific embodiment:

[0044] A two-dimensional tread pattern model is constructed based on a preset pattern type (for example, a pattern drawing provided by a pattern designer), without considering three-dimensional elements such as groove depth and block thickness. During modeling, each different style of block pitch is modeled in turn according to the type of block pitch, and then combined into a complete tread pattern according to the pitch arrangement order. The entire tread pattern is usually composed of 3-8 different types of pitches. In order to improve modeling efficiency, pattern elements with less impact on noise, such as chamfers, cut corners, studs, and wear marks in the pattern diagram can be omitted, and only elements such as blocks, longitudinal grooves, transverse grooves, and steel sheets are retained. After the construction is completed, the target tread pattern is obtained, as well as the first and second contour lines of the target tread pattern (for example, an outer contour recognition algorithm is used to obtain the first and second contour lines). An embodiment of the present application provides a schematic diagram of the leading / trailing edge contour of an imprint, such as Figure 3 As shown in FIG. 1 , the target tread pattern is constructed, where the leading edge is the first contour line and the trailing edge is the second contour line.

[0045] Step S204 : determining a first matrix based on the first contour line, the second contour line and the target tread pattern, wherein the first matrix is ​​used to represent length information of intersections of pattern blocks in the target tread pattern with the first contour line and the second contour line.

[0046] In the technical solution provided in step S204, there are multiple ways to determine the first matrix based on the first and second contours and the target tread pattern. For example, the first and second contours are scanned separately for different types of block pitches to obtain multiple block pitch matrices, one for each type of block pitch; and the multiple block pitch matrices are superimposed and combined according to the order and phase relationship of the block pitches to obtain the first matrix. This step-by-step scanning and superimposition method can meticulously capture every detail of the tire tread's contact with the ground and is particularly effective for noise prediction of complex patterns.

[0047] The following is a specific embodiment:

[0048] The embodiment of the present application provides a pattern scanning schematic diagram, such as Figure 4 As shown, a tire pattern (target tread pattern) takes a certain type of pitch (pattern block pitch) as an example, and shows a schematic diagram of the pattern scan when the front edge of the impression (ie, the first contour line) is scanned along the scanning direction. In order to improve the scanning efficiency, the pattern block pitches may not be combined into a full-circle pattern, and the first contour line and the second contour line are scanned in this manner for different types of pattern block pitches, that is, for each type of pattern block pitch, the pattern block pitches are moved along the circumferential direction of the target tread pattern according to a preset step length, wherein the circumferential direction is used to indicate that the target tread pattern rotates forward or reversely for one circle, and the number of movements of the first contour line and the second contour line along the circumferential direction of the target tread pattern according to the preset step length is determined based on the preset step length and the circumferential direction; after the first contour line and the second contour line are moved for the first time along the circumferential direction of the target tread pattern according to the preset step length, a Boolean sum operation is performed on the first contour line and the second contour line and the target tread pattern to determine an initial first sub-matrix; the first contour line and the second contour line are continued to be moved along the circumferential direction of the target tread pattern according to the preset step length, and the initial first sub-matrix is ​​updated until the movement is stopped after the number of movements is reached to obtain the first sub-matrix. Each type of tread block pitch corresponds to a first sub-matrix. All first sub-matrices are superimposed and combined according to the order and phase relationship of the tread block pitches to obtain the first matrix. For example, assuming there are n types of pitches, the first and second profiles can be used to perform pattern scans on each of the n pitches (block pitches), respectively, resulting in scan matrices (i.e., the first sub-matrices) Pattern_Scan1, Pattern_Scan2, ..., Pattern_Scann. These n first sub-matrices are then superimposed and combined according to the pitch order (set when constructing the target tread pattern) and phase relationship to obtain the total pattern scan matrix (i.e., the first matrix). The pitch order and the phase relationship between each pitch are determined. The phase relationship of the tire pattern reflects the timing of the tread blocks relative to the rest of the tire during rotation, which depends on the initial position of each rib and the rotational characteristics of the tire. The phase of each element in the first sub-matrix is ​​adjusted based on the phase relationship between the pitches. This ensures that, when superimposed, the noise signals from different pitches accurately reflect their relative timing during tire rotation. All the first sub-matrices with adjusted phases are superimposed (eg, summed), and the matrix obtained after superposition is the total pattern scanning matrix.

[0049] For another example, the first matrix can be determined by: moving the first and second contour lines along the circumferential direction of the target tread pattern at a preset step length, where the circumferential direction indicates whether the target tread pattern rotates forward or backward one full circle; determining the number of times the first and second contour lines are moved along the circumferential direction of the target tread pattern at the preset step length based on the preset step length and the circumferential direction; after the first and second contour lines are initially moved along the circumferential direction of the target tread pattern at the preset step length, performing a Boolean sum operation on the first and second contour lines and the target tread pattern to determine an initial first matrix; continuing to move the first and second contour lines along the circumferential direction of the target tread pattern at the preset step length, and updating the initial first matrix, until the movement is stopped after the number of movements is reached, thereby obtaining the first matrix. By moving the contour lines along the circumferential direction and performing Boolean operations, the dynamic process of the tire pattern contacting the ground can be comprehensively analyzed, and the method is applicable to tire noise prediction for various pattern types.

[0050] There are multiple ways to perform a Boolean sum operation on the first contour line, the second contour line, and the target tread pattern to determine the initial first matrix. For example, Boolean operations are performed on each pattern rib in the target tread pattern with the first contour line and the second contour line to determine the length information of the intersection line of each pattern rib with the first contour line and the second contour line, where the intersection line is a line segment obtained by connecting the intersection points of the pattern rib with the first contour line and the second contour line; and the initial first matrix is ​​determined based on the number of pattern ribs in the target tread pattern, the length information of the intersection line, and the number of moves.

[0051] The following is a specific embodiment: After obtaining the contour line, it is necessary to place the front and rear edges and the two-dimensional model on the same drawing plane, and according to the preset step size (for example, 0.5mm or 1mm), let the front and rear edges (i.e. the first contour line and the second contour line) be as follows: Figure 2Move in the circumferential direction on the two-dimensional plane shown. Based on the preset step size and the circumferential direction, determine the number of movements of the first contour line and the second contour line along the circumferential direction of the target tread pattern according to the preset step size: the preset step size is the length of each movement of the first contour line and the second contour line, the circumferential direction includes the length of a full rotation, and the number of movements is the ratio of the length of a full rotation to the preset step size. Each time it moves, let the leading edge and the trailing edge perform a Boolean sum with the target tread pattern respectively, until the number of movements is reached, then stop moving to obtain the pattern scanning matrix (that is, the first matrix mentioned above). This matrix reflects all the amplitude and phase information of the pattern rib (or pattern block) colliding with the ground and the pattern rib (or pattern block) leaving the ground. The amplitude represents the intensity of the vibration or noise generated when the tire tread block contacts the ground. When the rib (or block) hits the ground (i.e., the leading edge of the tire footprint contacts the block), or the rib (or block) lifts off the ground (i.e., the trailing edge of the tire footprint separates from the block), the length of the intersection between the rib (or block) edge and the leading or trailing edge of the footprint serves as an indicator of the overall amplitude. The longer the intersection, the greater the contact area between the block and the ground, and the greater the vibration or noise amplitude generated. If the leading edge of the tire footprint (the first contour line) intersects the rib (or block), the length of the intersection is recorded at the corresponding position in the matrix, reflecting the intensity (i.e., the noise amplitude) of the block when it hits the ground. Similarly, the separation of the trailing edge (the second contour line) from the rib (or block), i.e., the separation of the block, will also record the corresponding intersection length, reflecting the intensity (noise amplitude) of the block when it leaves the ground. In this way, each row and column in the matrix corresponds to a specific part of the tire pattern (such as a rib) and a specific position of the tire rotation, and the elements of the matrix reflect the details of the contact or separation of the pattern block with the ground, including the intensity of the contact (amplitude, that is, the length information of the intersection line) and the time point of contact (phase).

[0052] After the first movement, the front and rear edges are made to intersect with the pattern ribs (or pattern blocks). The intersection line is a line segment obtained by connecting the intersection points of the pattern ribs with the first contour line and the second contour line. The length of the intersection line is extracted as the length information of the intersection line. The length of the intersection line can represent all the impact points of the pattern ribs (or pattern blocks) on the leading edge line (first contour line) and all the points leaving the ground on the rear edge line (second contour line) when the tire (target tread pattern) rotates to this position. The initial first matrix is ​​determined based on the number of pattern ribs in the target tread pattern, the length information of the intersection lines, and the number of movements: for example, a preset multiple (for example, twice) of the number of pattern ribs in the target tread pattern is used as the number of rows, the number of movements is used as the number of columns, and the length information of the intersection lines is used as the value of the elements in the matrix to obtain the initial first matrix. The values ​​of the elements in the matrix also include the phase directly written into the matrix. The initial first matrix is ​​updated with each subsequent movement (for example, the length information of the new intersection lines obtained after each movement is written into the matrix) until the number of movements is reached (a full circle of movement is completed) to obtain the pattern scanning matrix (that is, the above-mentioned first matrix).

[0053] Step S206 : converting the elements in the first matrix into attenuated sinusoidal signals to obtain a second matrix, wherein the attenuated sinusoidal signals are used to simulate the sound pressure variation information of the noise generated by the tread blocks hitting the ground.

[0054] In the technical solution provided in step S206, there are various ways to convert the elements in the first matrix into attenuated sinusoidal signals to obtain the second matrix. For example, the value of each element in the first matrix is ​​converted into the amplitude of the attenuated sinusoidal signal; the order of all elements in the first matrix is ​​determined; and the amplitudes of the converted attenuated sinusoidal signals are superimposed and synthesized according to the order of their arrangement to obtain the second matrix. This signal conversion and superposition method can simulate the sound pressure changes of tire tread blocks when they contact and leave the ground, providing a physical basis for noise prediction.

[0055] The following is a specific embodiment:

[0056] After obtaining the pattern scanning matrix (i.e. the first matrix mentioned above), the value of each element in the first matrix is ​​converted into the amplitude of the attenuated sinusoidal signal, and the arrangement order of all elements in the first matrix is ​​obtained (for example, the order of the contact time points indicated by the phase) and the amplitude of the attenuated sinusoidal signal generated by each element is superimposed and synthesized in turn to obtain the pattern time domain signal matrix (i.e. the second matrix mentioned above). This process involves converting each element in the pattern scanning matrix (i.e. the first matrix mentioned above) into a signal with dynamic characteristics, such as an attenuated sinusoidal signal. Here, dynamic characteristics refer to the characteristics of the signal that changes with time or other variables (such as position, frequency, etc.). Among them, the attenuation coefficient, period, etc. of the attenuated sinusoidal wave (attenuated sinusoidal signal) are pre-set, so that the waveform obtained by superimposing the amplitude of the attenuated sinusoidal signal is more consistent with the actual sound. According to the different tread material parameters of the target tread pattern, a material parameter library is pre-established, and specific waveform parameters are given to different tread rubber materials to make the results more consistent with reality. An embodiment of the present application provides a schematic diagram of an attenuated sine wave, such as Figure 5 As shown, the attenuated sine wave in the second matrix is ​​obtained by converting the value of each element in the first matrix into the amplitude of the attenuated sine signal and then superimposing them.

[0057] Step S208 : determining a first noise of the target tread pattern based on the second matrix.

[0058] In the technical solution provided in step S208, there are various ways to determine the first noise of the target tread pattern based on the second matrix. For example, each signal value in the second matrix is ​​multiplied by a preset coefficient to obtain a third matrix; the third matrix is ​​adjusted based on the distance difference between the first contour line and the second contour line and a preset sounding coefficient to obtain a fourth matrix; the fourth matrix is ​​subjected to a fast Fourier transform to obtain a frequency domain signal; and the first noise of the target tread pattern is determined based on the frequency domain signal. Fast Fourier transform can convert time domain signals into frequency domain signals, facilitating analysis of the frequency characteristics of tire noise.

[0059] The following is a specific embodiment:

[0060] The attenuated sine wave simulates the vibration signal generated by the impact of the pattern block. Therefore, in order to obtain the sound pressure result, the second matrix needs to be multiplied by a preset coefficient (for example, a fitting coefficient α, where the α value is pre-set) to finally obtain the sound pressure time domain signal (that is, the third matrix mentioned above).

[0061] Because when the pattern is scanned, the front and rear edges of the imprint (i.e. the first contour line and the second contour line mentioned above) are scanned from the same position, but there is actually a distance difference between the front and rear edges of the imprint (i.e. the distance difference between the first contour line and the second contour line mentioned above). This distance is called the crown imprint length, and the phase difference is calculated using the preset step size. The phase difference is equal to the crown imprint length divided by the preset step size, which represents the number of lag points of the trailing edge signal (i.e. the element value related to the second contour line in the third matrix) relative to the leading edge signal (i.e. the element value related to the first contour line in the third matrix) in the time series.

[0062] The phase difference is actually the number of time domain data points between the front and rear edges. The rear edge signal (i.e., the element value related to the second contour line in the third matrix) is moved in the opposite direction by the phase difference. In addition, when the actual tire makes a sound, the sound when the front edge collides is higher than when the rear edge leaves. It is necessary to introduce a preset sound coefficient (for example, the front edge coefficient a can be set to 1, and the rear edge coefficient can be set to 0.3-0.5). The front edge signal needs to be multiplied by the front edge coefficient, and the rear edge signal needs to be multiplied by the rear edge coefficient. The third matrix is ​​adjusted through the above steps, and the front edge signal and the rear edge signal after adjusting the phase and sound coefficient are fused (for example, the element values ​​(i.e., time domain signals) of the two signals corresponding to each pattern rib position are linearly summed or weighted summed) to obtain the fourth matrix, which is the final sound pressure time domain signal matrix.

[0063] Perform a Fast Fourier Transform (FFT) on the fourth matrix: The FFT transform (Fast Fourier Transform) of the fourth matrix converts the matrix element values ​​(signals) from the time domain into order and frequency domain signals. The root mean square (RMS) value is calculated for the frequency band of interest in the frequency domain, and the first noise is determined based on the RMS value. Performing a Fast Fourier Transform (FFT) on the fourth matrix converts the time domain signal into the frequency domain, revealing the frequency characteristics of the noise. The FFT is an efficient algorithm used to calculate the Discrete Fourier Transform (DFT). The detailed steps of this process are as follows: First, a Fast Fourier Transform (FFT) is applied to the fourth matrix (i.e., the time domain signal matrix adjusted to account for phase differences and voicing coefficients) as input. The FFT is then applied to convert the time domain signal of the fourth matrix into a frequency domain signal, where each element value represents the signal strength at a specific frequency. The frequency domain signal provides frequency information about the noise signal, which is crucial for evaluating noise characteristics. Next, it is necessary to focus on specific frequency bands. The frequency domain frequency band of interest is determined based on specific application requirements. For example, the evaluation of tire noise will pay special attention to the frequency range to which the human ear is most sensitive, usually the mid-frequency band (such as 500Hz to 2000Hz). Calculate the RMS (root mean square) value In order to evaluate the noise level in a specific frequency band, calculate the RMS (root mean square) value of the frequency domain signal in the frequency domain frequency band of interest. The RMS value is an indicator that measures the average power of a signal over a period of time and is suitable for the evaluation of energy or intensity. In tire noise analysis, the RMS value can be used to quantify the overall intensity of the noise in a specific frequency band, expressed in dB. The noise spectrum in the frequency band of interest is extracted from the fourth matrix, and the noise level is quantified by the RMS value as the first noise, providing a scientific basis for the prediction and optimization of tire pattern noise.

[0064] The embodiment of the present application provides a time domain signal diagram of a rib, such as Figure 6 As shown, taking a 215 / 55R18 tire (i.e., the target tread pattern, a 215 / 55R18 tire is a radial tire with a width of 215 mm, an aspect ratio of 55%, and is suitable for 18-inch rims, and R represents the tire type) as an example, the smallest pitch pattern in the pattern is as follows: Figure 4 As shown in , there are five ribs, named Rib1 to Rib5 from the inside to the outside of the tire. The front edge of the print (i.e., the first contour line) moves in the scanning direction with a preset step length. Each movement generates an intersection with the rib (or pattern block). The length information of the intersection on each rib is extracted and stored in the first matrix. Each element in the first matrix is ​​converted into a decaying sinusoidal signal to obtain the second matrix, as shown in Figure 5As shown in , the length of the intersection line is the amplitude of the attenuated sinusoidal signal. The attenuated sinusoidal signals generated by each element are superimposed to obtain the third matrix. Signal processing is performed on this matrix, taking into account the preset sound pressure coefficient, the distance difference between the first contour line and the second contour line, etc., to obtain the fourth matrix corresponding to each pattern rib, as shown in Figure 6 As shown, the time domain signal of the fourth matrix corresponding to each patterned rib (ie, the time domain signal of the sound pressure) is displayed.

[0065] The embodiment of the present application also provides a pattern noise prediction result diagram, such as Figure 7 As shown, Figure 7 The upper part (TimeDomain (80 km / h)) shows the time domain signal of the sound pressure after the different ribs (Rib1 to Rib5) of the tire pattern are superimposed. It shows the signal waveform that changes with time and describes the time domain noise signal when the target tread pattern rotates at a speed of 80 km / h. It can visualize the noise changes of the target tread pattern at a specific speed.

[0066] The superimposed time domain signal is subjected to fast Fourier transform to obtain the order result and frequency domain result of the pattern, namely Figure 7 The Harmonics Domain and Frequency Domain of the tire are shown in Figure 2. The frequency domain results represent the noise spectrum generated when the tire rotates at a speed of 80 km / h. Figure 7 The middle section (Harmonics Domain (80 km / h)) displays the tire's harmonic distribution (i.e., order results) at 80 km / h, with the number of harmonics on the horizontal axis and the sound pressure amplitude in dB(A) on the vertical axis. The order results indicate the amplitude of the order noise generated by the target pattern rotation and help identify the main noise frequency components. Figure 7 The lower section (Frequency Domain (80 km / h)) provides a spectrum plot of the tire at 80 km / h. The horizontal axis represents frequency in Hz, and the vertical axis represents sound pressure amplitude in dB(A). Spectrum analysis allows identification of the specific frequency distribution of tire noise, which is crucial for noise prediction and optimization. The RMS (root mean square) value of the frequency domain signal within the frequency band of interest exhibits a peak around 750Hz.

[0067] To better align with human hearing, A-weighting can be applied to the frequency domain signal. A-weighting is a frequency-weighting function that simulates the human ear's sensitivity to sounds of different frequencies. The human ear's frequency perception is uneven. Especially at lower volumes, it is more sensitive to mid- and high-frequency sounds, while its perception of low-frequency sounds is relatively weak. A-weighting is designed based on this characteristic, attenuating the signal in the low-frequency range and boosting the signal in the high-frequency range, making the noise assessment result more closely resemble the human ear's actual perception. Multiplying the original frequency domain signal by the A-weighting function yields the A-weighted spectrum. Integrating the A-weighted spectrum over the frequency band of interest and taking the square root yields the A-weighted RMS value.

[0068] The first noise can also be corrected for misalignment, for example, by the following method: when the target tread pattern is a symmetrical pattern, each set of symmetrical pattern ribs is moved the same distance in opposite directions based on the centerline, and the second matrix is ​​updated. In this case, if the pattern blocks on both sides of the centerline of the target tread pattern are symmetrical based on the centerline (central symmetry or line symmetry), the target tread pattern is determined to be a symmetrical pattern; otherwise, if it is an asymmetric pattern, the second noise of the target tread pattern is re-determined based on the updated second matrix; if the value of the second noise is less than the value of the first noise, the second noise is replaced by the first noise. If the value of the second noise is greater than the first noise, it is not replaced. The special processing of symmetrical patterns can eliminate the influence of pattern symmetry on noise prediction, making the prediction results more accurate, and is suitable for the noise optimization design of symmetrical pattern tires.

[0069] The following is a specific embodiment:

[0070] The final fourth matrix is ​​obtained by linearly summing the time domain signal of the sound pressure of each pattern rib (the first noise is determined based on the fourth matrix, and the first noise is Figure 7 , that is, if the relative position between the pattern ribs is displaced, the time domain signal will also have a corresponding phase shift, and the overall noise summation result will also change accordingly. Therefore, there must be an optimal dislocation position so that the sum of the results of each pattern rib is minimized. The dislocation value of the pattern ribs should be limited to the range of {-minimum pitch length, +minimum pitch length}, and the positive and negative signs indicate the relative dislocation direction. After the dislocation, the second matrix is ​​updated and the fourth matrix is ​​obtained again, thereby obtaining the second noise (visualized in the form of a spectrum diagram). When the value of the second noise is less than the value of the first noise, the second noise is replaced by the first noise (that is, the value of the point in the visualization diagram indicating the second noise that is lower than the value of the visualization diagram indicating the first noise is replaced with the first noise). For example, an embodiment of the present application provides a dislocation optimization result diagram, such as Figure 8As shown in the figure, yellow represents the second noise and blue represents the first noise. The values ​​of the points where the yellow is below the blue in the figure are replaced with the values ​​of the blue spectrum, and the values ​​of the points where the yellow is above the blue keep the values ​​of the blue spectrum unchanged.

[0071] Taking the centerline of the tread (i.e., the centerline of the target tread, also called the tread centerline) as the reference, the patterns on both sides are centrally symmetrical or linearly symmetrical based on the centerline, which is called a symmetrical pattern. Otherwise, it is called an asymmetrical pattern. Symmetrical pattern ribs should have the same offset value and opposite relative offset directions. Asymmetric patterns have no restrictions. Symmetrical offset is divided into two sides based on the tread centerline. Taking a pattern with four pattern ribs as an example, from the inside of the tire, they are recorded as Rib1, Rib2, Rib3, and Rib4. If Rib2 is offset by a value a (a is a preset value), Rib3 should be offset by a corresponding value -a to ensure that the pattern remains symmetrical after the offset is completed. If there are pattern ribs at the tread centerline, taking a pattern with five pattern ribs as an example, they are recorded as Rib1-Rib5, with Rib3 located at the centerline. The offset of Rib3 is always kept at 0. Rib2 and Rib4, Rib1 and Rib5, are symmetrically offset. Asymmetric displacement has no restrictions; each Rib can move freely within a limited range. If the second noise value re-determined after the displacement is less than the first noise value, the second noise is replaced by the first noise. If the second noise value is greater than the first noise value, no replacement is made.

[0072] Through the above steps, the contact process between the tire and the ground can be accurately simulated, the noise performance of the tire under different road conditions can be effectively predicted, and key data support can be provided for tire design and optimization.

[0073] The embodiment of the present application also provides a schematic diagram of the structure of a device for predicting tire pattern noise, such as Figure 9 As shown, including:

[0074] The acquisition module 902 is used to acquire a target tread pattern and acquire a first contour line and a second contour line of the target tread pattern, wherein the first contour line is used to indicate the leading edge shape of the target tread pattern when it contacts the ground, and the second contour line is used to indicate the trailing edge shape of the target tread pattern when it leaves the ground.

[0075] The first determination module 904 is configured to determine a first matrix based on the first contour line, the second contour line, and the target tread pattern, wherein the first matrix is ​​configured to represent length information of intersections between a pattern block in the target tread pattern and the first contour line and the second contour line.

[0076] The first determination module 904 is further configured to scan different types of block pitches using the first contour line and the second contour line respectively to obtain a plurality of block pitch matrices, wherein each type of block pitch corresponds to a block pitch matrix; and to superimpose and combine the plurality of block pitch matrices according to the arrangement order and phase relationship of the block pitches to obtain a first matrix.

[0077] The first determination module 904 is further configured to, when the target tread pattern is a symmetrical pattern, move each group of symmetrical pattern ribs in opposite directions by the same distance based on the center line to update the second matrix, wherein the target tread pattern is determined to be a symmetrical pattern when the pattern blocks on both sides of the center line of the target tread pattern are symmetrical based on the center line; re-determine the second noise of the target tread pattern based on the updated second matrix; and replace the second noise with the first noise when the value of the second noise is less than the value of the first noise.

[0078] The first determination module 904 is also used to move the first contour line and the second contour line along the circumferential direction of the target tread pattern according to a preset step size, wherein the circumferential direction is used to indicate that the target tread pattern rotates forward or reversely for one circle; based on the preset step size and the circumferential direction, determine the number of movements of the first contour line and the second contour line along the circumferential direction of the target tread pattern according to the preset step size; after the first contour line and the second contour line are moved for the first time along the circumferential direction of the target tread pattern according to the preset step size, perform a Boolean sum operation on the first contour line and the second contour line and the target tread pattern to determine an initial first matrix; continue to move the first contour line and the second contour line along the circumferential direction of the target tread pattern according to the preset step size, and update the initial first matrix until the movement stops after the number of movements is reached to obtain the first matrix.

[0079] The first determination module 904 is further configured to perform Boolean operations on each rib in the target tread pattern and the first contour line and the second contour line, respectively, to determine the length information of the intersection line between each rib and the first contour line and the second contour line, wherein the intersection line is a line segment obtained by connecting the intersection points of the rib and the first contour line and the second contour line; and to determine the initial first matrix based on the number of ribs in the target tread pattern, the length information of the intersection line, and the number of moves.

[0080] The conversion module 906 is configured to convert the elements in the first matrix into attenuated sinusoidal signals to obtain a second matrix, wherein the attenuated sinusoidal signals are used to simulate the sound pressure variation information of the noise generated by the tread blocks hitting the ground.

[0081] The conversion module 906 is further configured to convert the value of each element in the first matrix into the amplitude of the attenuated sinusoidal signal; obtain the arrangement order of all elements in the first matrix; and superimpose and synthesize the converted amplitudes of the attenuated sinusoidal signals in the arrangement order to obtain a second matrix.

[0082] The second determination module 908 is configured to determine a first noise of the target tread pattern based on the second matrix.

[0083] The second determination module 908 is further configured to multiply each signal value in the second matrix by a preset coefficient to obtain a third matrix; adjust the third matrix based on the distance difference between the first contour line and the second contour line and a preset sounding coefficient to obtain a fourth matrix; perform a fast Fourier transform on the fourth matrix to obtain a frequency domain signal; and determine the first noise of the target tread pattern based on the frequency domain signal.

[0084] It should be noted that Figure 9 The tire tread noise prediction device shown is used to perform Figure 2 The tire tread noise prediction method shown is therefore Figure 2 The relevant explanations in the tire pattern noise prediction method in are also applicable to the tire pattern noise prediction device and will not be repeated here.

[0085] It should be noted that the various modules in the above-mentioned tire pattern noise prediction device can be program modules (for example, a set of program instructions that implement a certain specific function) or hardware modules. For the latter, it can be expressed in the following forms, but is not limited to this: the expression form of each of the above-mentioned modules is a processor, or the functions of each of the above-mentioned modules are implemented by a processor.

[0086] The embodiment of the present application also provides a non-volatile storage medium, which includes a stored program, wherein when the program is executed, the device containing the non-volatile storage medium is controlled to execute the above tire pattern noise prediction method. For example, a target tread pattern and a first contour line and a second contour line of the target tread pattern are obtained, wherein the first contour line is used to indicate the leading edge shape of the target tread pattern when it contacts the ground, and the second contour line is used to indicate the trailing edge shape of the target tread pattern when it leaves the ground; a first matrix is ​​determined based on the first contour line, the second contour line, and the target tread pattern, wherein the first matrix is ​​used to represent the length information of the intersection of the pattern block in the target tread pattern and the first contour line and the second contour line; the elements in the first matrix are converted into a decaying sinusoidal signal to obtain a second matrix, wherein the decaying sinusoidal signal is used to simulate the sound pressure change information of the noise generated by the pattern block hitting the ground; and the first noise of the target tread pattern is determined based on the second matrix.

[0087] The present application also provides an electronic device, comprising a processor configured to run a program, wherein the above tire pattern noise prediction method is executed when the program is run. For example, a target tread pattern and a first contour line and a second contour line of the target tread pattern are obtained, wherein the first contour line indicates the leading edge shape of the target tread pattern when it contacts the ground, and the second contour line indicates the trailing edge shape of the target tread pattern when it leaves the ground; a first matrix is ​​determined based on the first contour line, the second contour line, and the target tread pattern, wherein the first matrix indicates the length information of the intersection of a pattern block in the target tread pattern and the first contour line and the second contour line; the elements in the first matrix are converted into a decaying sinusoidal signal to obtain a second matrix, wherein the decaying sinusoidal signal is used to simulate the sound pressure change information of the noise generated by the pattern block hitting the ground; and the first noise of the target tread pattern is determined based on the second matrix.

[0088] According to another aspect of the embodiments of the present application, a computer program product is also provided, including a computer program, which, when executed by a processor, implements the above tire pattern noise prediction method. For example, a target tread pattern and a first contour line and a second contour line of the target tread pattern are obtained, wherein the first contour line is used to indicate the leading edge shape of the target tread pattern when it contacts the ground, and the second contour line is used to indicate the trailing edge shape of the target tread pattern when it leaves the ground; a first matrix is ​​determined based on the first contour line, the second contour line, and the target tread pattern, wherein the first matrix is ​​used to represent the length information of the intersection of the pattern blocks in the target tread pattern and the first contour line and the second contour line; the elements in the first matrix are converted into a decaying sinusoidal signal to obtain a second matrix, wherein the decaying sinusoidal signal is used to simulate the sound pressure change information of the noise generated by the pattern blocks hitting the ground; and the first noise of the target tread pattern is determined based on the second matrix.

[0089] In the above embodiments of the present application, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments.

[0090] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only exemplary. For example, the division of the units can be a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0091] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0092] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0093] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the relevant technology or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for enabling a computer device (which can be a personal computer, a server or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk.

[0094] The above is only a preferred embodiment of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for predicting tire pattern noise, characterized in that: include: Acquiring a target tread pattern and acquiring a first contour line and a second contour line of the target tread pattern, wherein the first contour line is used to indicate a leading edge shape of the target tread pattern when it contacts the ground, and the second contour line is used to indicate a trailing edge shape of the target tread pattern when it leaves the ground; determining a first matrix based on the first contour line, the second contour line, and the target tread pattern, wherein the first matrix is ​​used to represent length information of intersections of pattern blocks in the target tread pattern with the first contour line and the second contour line; Converting the elements in the first matrix into attenuated sinusoidal signals to obtain a second matrix, wherein the attenuated sinusoidal signals are used to simulate the sound pressure variation information of the noise generated by the tread block hitting the ground; A first noise of the target tread pattern is determined based on the second matrix.

2. The method according to claim 1, characterized in that The target tread pattern is a two-dimensional tread pattern model pre-constructed based on a preset pattern type, wherein the target tread pattern includes different types of pattern block pitches.

3. The method according to claim 2, characterized in that Determining a first matrix based on the first and second contour lines and the target tread pattern includes: Scanning different types of pattern block pitches using the first contour line and the second contour line respectively to obtain a plurality of pattern block pitch matrices, wherein each type of pattern block pitch corresponds to a pattern block pitch matrix; The plurality of pattern block pitch matrices are superimposed and combined according to the arrangement order and phase relationship of the pattern block pitches to obtain the first matrix.

4. The method according to claim 2, characterized in that The method further comprises: When the target tread pattern is a symmetrical pattern, each group of symmetrical pattern ribs is moved the same distance in opposite directions with the center line as a reference to update the second matrix, wherein the target tread pattern is determined to be a symmetrical pattern when the pattern blocks on both sides of the center line of the target tread pattern are symmetrical with respect to the center line; re-determining a second noise of the target tread pattern based on the updated second matrix; When the value of the second noise is smaller than the value of the first noise, the second noise is replaced by the first noise.

5. The method according to claim 1, wherein Determining a first matrix based on the first and second contour lines and the target tread pattern includes: Moving the first contour line and the second contour line along the circumferential direction of the target tread pattern according to a preset step length, wherein the circumferential direction is used to indicate one forward rotation or one reverse rotation of the target tread pattern; determining, based on the preset step length and the circumferential direction, a number of times the first contour line and the second contour line are moved along the circumferential direction of the target tread pattern according to the preset step length; After the first contour line and the second contour line are initially moved along the circumferential direction of the target tread pattern according to the preset step length, a Boolean sum operation is performed on the first contour line, the second contour line, and the target tread pattern to determine an initial first matrix; The first contour line and the second contour line continue to be moved along the circumferential direction of the target tread pattern according to the preset step length, and the initial first matrix is ​​updated until the movement is stopped after the number of movements is reached, thereby obtaining the first matrix.

6. The method according to claim 5, characterized in that The performing a Boolean sum operation on the first contour line, the second contour line, and the target tread pattern to determine an initial first matrix includes: Performing Boolean operations on each pattern rib in the target tread pattern and the first contour line and the second contour line respectively to determine the length information of the intersection line of each pattern rib with the first contour line and the second contour line, wherein the intersection line is a line segment obtained by connecting the intersection points of the pattern rib with the first contour line and the second contour line; determining the initial first matrix based on the number of pattern ribs in the target tread pattern, the length information of the intersection line, and the number of movements.

7. The method according to claim 1, characterized in that The converting the elements in the first matrix into attenuated sinusoidal signals to obtain the second matrix includes: Converting the value of each element in the first matrix into the amplitude of a decaying sinusoidal signal; Obtaining the arrangement order of all elements in the first matrix; The amplitudes of the converted attenuated sinusoidal signals are superimposed and synthesized according to the arrangement order to obtain the second matrix.

8. The method according to claim 1, characterized in that The determining of the first noise of the target tread pattern based on the second matrix includes: multiplying each signal value in the second matrix by a preset coefficient to obtain a third matrix; adjusting the third matrix based on a distance difference between the first contour line and the second contour line and a preset voicing coefficient to obtain a fourth matrix; Performing a fast Fourier transform on the fourth matrix to obtain a frequency domain signal; A first noise of the target tread pattern is determined according to the frequency domain signal.

9. A device for predicting tire pattern noise, characterized in that: include: an acquisition module, configured to acquire a target tread pattern and acquire a first contour line and a second contour line of the target tread pattern, wherein the first contour line is used to indicate a leading edge shape of the target tread pattern when it contacts the ground, and the second contour line is used to indicate a trailing edge shape of the target tread pattern when it leaves the ground; a first determining module, configured to determine a first matrix based on the first and second contour lines and the target tread pattern, wherein the first matrix is ​​used to represent length information of intersections of pattern blocks in the target tread pattern with the first and second contour lines; a conversion module, configured to convert elements in the first matrix into attenuated sinusoidal signals to obtain a second matrix, wherein the attenuated sinusoidal signals are used to simulate sound pressure variation information of noise generated by a tread block hitting a ground; A second determination module is configured to determine a first noise of the target tread pattern based on the second matrix.

10. A non-volatile storage medium, characterized in that: The non-volatile storage medium stores a program, wherein when the program is running, the device where the non-volatile storage medium is located is controlled to execute the tire pattern noise prediction method according to any one of claims 1 to 8.

11. An electronic device, characterized in that: include: A memory and a processor, wherein the processor is used to run a program stored in the memory, wherein the tire pattern noise prediction method according to any one of claims 1 to 8 is executed when the program is run.

12. A computer program product comprising computer instructions, characterized in that When the computer instructions are executed by a processor, the tire pattern noise prediction method according to any one of claims 1 to 8 is implemented.

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