Method and apparatus for manufacturing low noise tire, non-transitory storage medium

Abstract

The application discloses a low-noise tire manufacturing method and device, and a nonvolatile storage medium. The method comprises the following steps: obtaining at least one initial pitch sequence, wherein each initial pitch sequence comprises a plurality of pitch values; determining a first energy proportion value corresponding to the initial pitch sequence, wherein the first energy proportion value is a ratio of maximum noise energy in a first evaluation interval corresponding to the initial pitch sequence to a sum of all noise energies in the first evaluation interval; iteratively optimizing the initial pitch sequence until a preset iteration number is reached, and outputting a first target pitch sequence, wherein the first target pitch sequence is a pitch sequence corresponding to the minimum energy proportion value in a pitch sequence set, and the pitch sequence set comprises an optimized pitch sequence output each time the iteration optimization is performed and the initial pitch sequence; and rearranging the pattern of the tire according to the first target pitch sequence to obtain a low-noise tire.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of arrangement optimization of tire pattern pitch, in particular to a low-noise tire manufacturing method and device and a nonvolatile storage medium. BACKGROUND

[0002] Nowadays, the proportion of new energy vehicles is rapidly increasing. Compared with traditional engine-driven vehicles, new energy vehicles driven by motors have smaller noise. New energy vehicles lack the masking effect of engine noise, and road tire noise becomes the main noise source. Road tire noise is mainly tire pattern noise caused by the impact of tire patterns on the ground. Tire pattern noise mainly includes pattern block impact noise, pattern air pumping noise, and tube cavity noise. Good pitch design can effectively reduce the peak noise caused by periodic impact of patterns. In related technologies, the pitch is optimized by redesigning the pitch type, pitch quantity and pitch value to reduce tire pattern noise, which ignores the original pitch of the tire and wastes resources.

[0003] In view of the above problems, no effective solution has been proposed so far. SUMMARY

[0004] The embodiments of the present application provide a low-noise tire manufacturing method and device and a nonvolatile storage medium to at least solve the technical problem of resource waste caused by the need to redesign the pattern of the tire after each optimization in related technologies when the tire pitch is optimized based on the original pitch.

[0005] According to an aspect of an embodiment of the present application, a low-noise tire manufacturing method is provided, comprising: obtaining at least one initial pitch sequence, wherein each initial pitch sequence includes a plurality of pitch values, and the pitch value is used to indicate the distance between any two patterns on the tire; determining a first energy ratio value corresponding to the initial pitch sequence, wherein the first energy ratio value is the ratio of the maximum noise energy in the first evaluation interval corresponding to the initial pitch sequence to the sum of all noise energies in the first evaluation interval, and the noise energy in the first evaluation interval is the noise energy generated by the tire with the pattern pitch sequence being the initial pitch sequence; iteratively optimizing the initial pitch sequence until a preset iteration number is reached, and outputting a first target pitch sequence, wherein the first target pitch sequence is the pitch sequence corresponding to the minimum energy ratio value in the pitch sequence set, and the pitch sequence set includes: the optimization pitch sequence output each time the iteration optimization is performed, and the initial pitch sequence; and rearranging the patterns of the tire according to the first target pitch sequence to obtain a low-noise tire.

[0006] Optionally, the acquiring the at least one initial pitch sequence comprises: in a case where the initial pitch scheme exists, acquiring one initial pitch sequence, wherein the initial pitch sequence is generated by the following method: acquiring the initial pitch scheme, wherein the initial pitch scheme is generated according to actual pattern pitch information of the tire, and the actual pattern pitch information comprises a plurality of pitch values and an arrangement manner of the pitch values; and arranging the plurality of pitch values according to an arrangement order indicated by the arrangement manner to generate the initial pitch sequence.

[0007] Optionally, the acquiring the at least one initial pitch sequence further comprises: in a case where the initial pitch scheme does not exist, acquiring a plurality of initial pitch sequences, wherein the initial pitch sequence is generated by the following method: generating a plurality of random number sequences that meet a restriction condition, wherein the restriction condition is used to indicate a number of random numbers contained in the random number sequence, a value of the random number, and a number of random numbers with the same value; determining a second energy ratio value corresponding to each random number sequence, wherein the second energy ratio value is a ratio of maximum noise energy of the tire with the pattern pitch sequence being the random number sequence in a second evaluation interval corresponding to the random number sequence to a sum of all noise energies in the second evaluation interval; selecting the second energy ratio value from the plurality of second energy ratio values in an order from small to large to obtain a value set, wherein a number of the second energy ratio values contained in the value set is less than a number of the random number sequences; and determining the random number sequence corresponding to the second energy ratio value in the value set as the initial pitch sequence.

[0008] Optionally, the second evaluation interval is determined by the following method: acquiring basic information, wherein the basic information comprises a circumference and a rotation speed of the tire with the pattern pitch sequence being the initial pitch sequence; generating a first noise order spectrum corresponding to the random number sequence according to the basic information and the random numbers in the random number sequence, wherein the first noise order spectrum is used to indicate a noise characteristic of the tire with the pattern pitch sequence being the random number sequence; determining the second evaluation interval in the first noise order spectrum, wherein the second evaluation interval is an order interval about a first center order of the first noise order spectrum, and an order number of the first center order is the same as a number of the random numbers; and determining the first energy ratio value according to noise energies in the second evaluation interval.

[0009] Optionally, the first evaluation interval is determined by: obtaining basic information, wherein the basic information comprises a circumference of the tire and a rotation speed of the tire, the pattern pitch sequence being an initial pitch sequence; generating a second noise order spectrum corresponding to the initial pitch sequence according to the basic information and the pitch values in the initial pitch sequence, wherein the second noise order spectrum is used to indicate a noise characteristic of the tire with the pattern pitch sequence being the initial pitch sequence; and determining the first evaluation interval in the second noise order spectrum, wherein the first evaluation interval is an order interval symmetric about a second center order in the second noise order spectrum, and the number of the second center order is the same as the number of the pitch values contained in the initial pitch sequence.

[0010] Optionally, the initial pitch sequence is iteratively optimized, comprising: performing an optimization operation on the initial pitch sequence to obtain a first pitch sequence; determining a gradient value of the first pitch sequence or a maximum continuous number of the same value pitch value in the initial pitch sequence; determining the first pitch sequence as an optimized pitch sequence in a case that the gradient value is less than or equal to a preset gradient value or the maximum continuous number is less than or equal to a preset value; and repeating the optimization operation on the first pitch sequence until the optimized pitch sequence is obtained in a case that the gradient value is greater than the preset gradient value or the maximum continuous number is greater than the preset value.

[0011] Optionally, the optimization operation on the initial pitch sequence comprises: exchanging a first sequence with a preset length and starting from a pitch value indicated by a first position number in the initial pitch sequence with a second sequence with the preset length and starting from a pitch value indicated by a second position number in the initial pitch sequence to obtain a second pitch sequence, wherein the first position number is different from the second position number; and exchanging a plurality of pitch values at a plurality of target positions in the second pitch sequence to obtain the first pitch sequence, wherein the pitch values at the target positions in the first pitch sequence are different from the pitch values at the target positions in the second pitch sequence.

[0012] Optionally, the first target pitch sequence is output, comprising: determining a third energy proportion value corresponding to each of the optimized pitch sequences, wherein the third energy proportion value is a ratio of a maximum noise energy in a third evaluation interval corresponding to the optimized pitch sequence to a sum of all noise energies in the third evaluation interval for the tire with the pattern pitch sequence being the optimized pitch sequence; and comparing the plurality of third energy proportion values with the first energy proportion value, and outputting a pitch sequence corresponding to a minimum energy proportion value as the output first target pitch sequence.

[0013] Optionally, the third evaluation interval is determined by: obtaining basic information, wherein the basic information comprises a circumference of the tire and a rotation speed of the tire, the pattern pitch sequence being the initial pitch sequence; generating a third noise order spectrum corresponding to the optimized pitch sequence according to the basic information and the pitch values in the optimized pitch sequence, wherein the third noise order spectrum is used to indicate the noise characteristics of the tire with the pattern pitch sequence being the optimized pitch sequence, and different optimized pitch sequences correspond to different third noise order spectra; and determining the third evaluation interval in the third noise order spectrum, wherein the third evaluation interval is a symmetric interval about a third center order in the third noise order spectrum, and the order of the third center order is the same as the number of the pitch values included in the optimized pitch sequence.

[0014] Optionally, the method for manufacturing the low-noise tire further comprises: determining an auxiliary evaluation index corresponding to the initial pitch sequence, wherein the auxiliary evaluation index is an index related to tire noise, and the auxiliary evaluation index is determined by: determining noise energy values of each order in the first noise order spectrum corresponding to the initial pitch sequence; determining noise energy ratios by dividing the noise energy values of each order by the sum of all noise energies in the first evaluation interval; and determining an accumulated result of the plurality of noise energy ratios included in a preset interval, and determining the accumulated result with the largest value as the auxiliary evaluation index, wherein the preset interval is an order interval symmetric about the order, and the range of the preset interval is smaller than the range of the first evaluation interval, and the preset interval corresponding to each order is different.

[0015] Optionally, in the case where the auxiliary evaluation index corresponding to the initial pitch sequence is determined, the method for manufacturing the low-noise tire further comprises: iteratively optimizing the initial pitch sequence until a preset iteration number is reached, and outputting a second target pitch sequence, wherein the second target pitch sequence is the pitch sequence in the pitch sequence set with the smallest first energy proportion value and the smallest auxiliary evaluation index; and rearranging the pattern of the tire according to the second target pitch sequence to obtain the low-noise tire.

[0016] According to another aspect of the embodiments of the present application, a device for manufacturing a low-noise tire is also provided, comprising: an obtaining module configured to obtain at least one initial pitch sequence, wherein each initial pitch sequence comprises a plurality of pitch values, and each pitch value is used to indicate the distance between any two patterns on the tire; a determining module configured to determine a first energy ratio value corresponding to the initial pitch sequence, wherein the first energy ratio value is the ratio of the maximum noise energy in a first evaluation interval corresponding to the initial pitch sequence to the sum of all noise energies in the first evaluation interval, and the noise energy in the first evaluation interval is the noise energy generated by the tire with the pattern pitch sequence being the initial pitch sequence; an optimizing module configured to iteratively optimize the initial pitch sequence until a preset iteration number is reached, and output a first target pitch sequence, wherein the first target pitch sequence is the pitch sequence corresponding to the minimum energy ratio value in a pitch sequence set, and the pitch sequence set comprises the optimized pitch sequence output each time the iteration optimization is performed and the initial pitch sequence; and an arranging module configured to rearrange the patterns of the tire according to the first target pitch sequence to obtain the low-noise tire.

[0017] According to another aspect of the embodiments of the present application, a nonvolatile storage medium is also provided, and the nonvolatile storage medium stores a computer program, wherein the device in which the nonvolatile storage medium is located executes the manufacturing method of the low-noise tire by running the computer program.

[0018] According to another aspect of the embodiments of the present application, an electronic device is also provided, comprising a memory and a processor, the memory stores a computer program, and the processor is configured to execute the manufacturing method of the low-noise tire by running the computer program.

[0019] According to another aspect of the embodiments of the present application, a computer program product is also provided, comprising computer instructions, and the computer instructions are executed by the processor to implement the steps of the manufacturing method of the low-noise tire.

[0020] In the embodiment of the present application, at least one initial pitch sequence is obtained, wherein each initial pitch sequence includes a plurality of pitch values, and the pitch values are used to indicate the pitch of any two patterns on the tire; a first energy ratio value corresponding to the initial pitch sequence is determined, wherein the first energy ratio value is the ratio of the maximum noise energy in the first evaluation interval corresponding to the initial pitch sequence to the sum of all noise energies in the first evaluation interval, and the noise energy in the first evaluation interval is the noise energy generated by the tire with the pattern pitch sequence being the initial pitch sequence; the initial pitch sequence is iteratively optimized until a preset iteration number is reached, and a first target pitch sequence is output, wherein the first target pitch sequence is the pitch sequence corresponding to the minimum energy ratio value in the pitch sequence set, and the pitch sequence set includes: the optimized pitch sequence output each time the iteration optimization is performed, and the initial pitch sequence; the patterns of the tire are rearranged according to the first target pitch sequence to obtain a low-noise tire. Through the logic of random alternation optimization, under the condition of a single body or multiple bodies, a large number of random parameters are used to iteratively optimize the body to meet the iteration number, and the optimal solution is found in the large interval range composed of multiple optimization results, so as to achieve the purpose of iteratively finding a better pitch arrangement on the basis of the existing scheme, thereby realizing the technical effect of providing a pitch arrangement with a lower noise level on the basis of not changing other design elements, generating a low-noise tire, and further solving the technical problem of resource waste caused by the need to redesign the pattern of the tire after each optimization in the related art when the tire pitch is optimized. BRIEF DESCRIPTION OF DRAWINGS

[0021] The drawings described herein are used to provide further understanding of the present application, and form 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:

[0022] Figure 1 is a hardware structure block diagram of a computer terminal for implementing a manufacturing method of a low-noise tire according to an embodiment of the present application;

[0023] Figure 2 is a step flowchart of a manufacturing method of a low-noise tire according to an embodiment of the present application;

[0024] Figure 3 is an initial pitch sequence generated based on random numbers according to an embodiment of the present application;

[0025] Figure 4 is a schematic diagram of performing an optimization operation on an initial pitch sequence according to an embodiment of the present application;

[0026] Figure 5 is a structure diagram of a manufacturing device of a low-noise tire according to an embodiment of the present application;

[0027] Figure 6 is a work flow chart of a low-noise tire manufacturing device according to an embodiment of the present application;

[0028] Figure 7 is a comparison result between an initial pitch sequence and an optimized output pitch sequence based on actual pitch information according to an embodiment of the present application;

[0029] Figure 8 is a comparison result between an initial pitch sequence and an optimized output pitch sequence based on random numbers according to an embodiment of the present application. DETAILED DESCRIPTION

[0030] In order to make the personnel in the technical field better understand the scheme of the present application, the technical scheme in the embodiments of the present application will be clearly and completely described below in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor should belong to the scope of protection of the present application.

[0031] It should be noted that the terms "first", "second", and the like in the specification and claims of the present application and the above-described drawings are used to distinguish similar objects, and do not necessarily have to describe a specific order or a sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device including a series of steps or units does not have to be limited to those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0032] In the related art, the method for optimizing the tire pattern pitch includes the following methods. One method is to use a single point intersection to optimize the pitch, which produces a small range of local solutions. The optimization interval is small and the sample size is small, so there is a problem that it cannot cope with high requirement pitch noise level. At the same time, this method does not guarantee the mechanical performance of the pitch arrangement, and does not take into account the uneven wear caused by different rigidities in the axial arrangement area. Another method uses an enumeration method to traverse the generated random arrangement set to find the optimal solution. This method does not optimize iteration based on the original pitch, so it cannot guarantee the quality of the generated random sequence set each time, and the optimization solution produced by this method will change the number and length of each pitch, which will cause the problem of needing to redesign the pattern. It cannot optimize the existing pitch without changing the pitch information. Another method sets the maximum amplitude according to the number of pitch types, and requires that the maximum value of the pitch harmonic be no greater than the set maximum value. However, this invention only considers reducing the maximum value, and does not consider the principle of energy average dispersion. In order to solve this problem, the related solutions provided in the embodiments of the present application are described in detail below.

[0033] According to the embodiments of the present application, a method embodiment of a method for manufacturing a low-noise tire 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 the 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.

[0034] The method embodiment 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 A hardware structure block diagram of a computer terminal for implementing a method for manufacturing a low-noise tire is shown. As Figure 1 shown, the computer terminal 10 can include one or more (shown in the figure as 102a, 102b, …, 102n) processors 102 (the processor 102 can include but 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 device 106 for communication function. In addition, it can also include a display, an input / output interface (I / O interface), a universal serial bus (USB) port (which can be included as one of the ports of the BUS bus), a network interface, a power supply and / or a camera. Those skilled in the art can understand, Figure 1 The structure shown is only schematic, which does not limit the structure of the above-mentioned electronic device. For example, the computer terminal 10 can also include more or fewer components than Figure 1 shown, or have a different configuration than Figure 1 shown.

[0035] It should be noted that the one or more processors 102 and / or other data processing circuitry described above can be referred to herein generally as "data processing circuitry". The data processing circuitry can be embodied in whole or in part as software, hardware, firmware, or any combination thereof. In addition, the data processing circuitry can be a single standalone processing module, or incorporated in whole or in part within any one of the other elements of the computer terminal 10. As referred to in embodiments of the present application, the data processing circuitry functions as a processor to control, for example, the selection of the variable resistance terminal path in connection with the interface.

[0036] The memory 104 can be used to store software programs and modules of application software, such as program instructions / data storage means corresponding to the method of manufacturing a low-noise tire according to embodiments of the present application. The processor 102 can execute various functional applications and data processing by running the software programs and modules stored in the memory 104, i.e., implement the method of manufacturing a low-noise tire described above. The memory 104 can include a high-speed random access memory, and can further include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 can further include a memory disposed remotely with respect to the processor 102, which can be connected to the computer terminal 10 through a network. Examples of the network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0037] The transmission device 106 is configured to receive or send data via a network. Examples of the network include, but are not limited to, a wireless network provided by a communication service provider of the computer terminal 10. In one example, the transmission device 106 includes a network interface controller (NIC) that can be connected to other network devices through a base station to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (RF) module configured to communicate with the Internet in a wireless manner.

[0038] The display can be, for example, a touch screen liquid crystal display (LCD) that enables a user to interact with the user interface of the computer terminal 10.

[0039] Embodiments of the present application provide a method of manufacturing a low-noise tire that can be run in the operating environment described above, Figure 2 is a flowchart of the steps of the method of manufacturing a low-noise tire according to embodiments of the present application, as Figure 2 shown, the method includes the following steps:

[0040] Step S202: obtaining at least one initial pitch sequence, wherein each initial pitch sequence includes a plurality of pitch values, and the pitch value is used to indicate the distance between any two tread patterns on the tire.

[0041] The method provided in the embodiment of the present application obtains an optimization result by optimizing the initial pitch sequence. The optimization result is that, on the basis of not changing the pattern shape, number of pitches and pitch type in the initial pitch scheme, only by adjusting the arrangement of the spacing between different types of patterns (i.e., pitches), a pitch arrangement scheme (i.e., a first target pitch sequence or a second target pitch sequence) that can minimize the pattern noise of the tire is obtained. In step S202, an initial pitch sequence is obtained, wherein the initial pitch sequence is a digital sequence generated by arranging multiple pitch values, and each pitch value in the initial pitch sequence is the length value of the spacing between each two patterns on the tire. In this embodiment, pitch values ​​of the same size are classified as the same type of pitch values, and pitch values ​​of different sizes are classified as different types of pitch values. What is obtained in step S202 can be one initial pitch sequence or multiple initial pitch sequences, the difference being the information used to generate the initial pitch sequence.

[0042] Optionally, obtaining at least one initial pitch sequence includes: in the case where an initial pitch scheme exists, obtaining an initial pitch sequence, wherein the initial pitch sequence is generated by the following method: obtaining an initial pitch scheme, wherein the initial pitch scheme is generated based on actual pattern pitch information of the tire, and the actual pattern pitch information includes: multiple pitch values ​​and an arrangement of the pitch values; arranging the multiple pitch values ​​in an arrangement order indicated by the arrangement to generate an initial pitch sequence.

[0043] As mentioned in the previous embodiment, depending on the different information for generating the initial pitch sequence, there are two situations in step S202: obtaining only one initial pitch sequence and obtaining multiple initial pitch sequences. Among them, if the information for generating the initial pitch sequence is the actual pattern pitch information of the tire (i.e., the actual pattern pitch information), then only one initial pitch sequence is obtained in step S202, and the initial pitch sequence is generated by the following method in this embodiment. First, the pitch design scheme (i.e., the initial pitch scheme) is extracted from the design scheme of the tire. Next, the actual pattern pitch information in the initial pitch scheme is extracted, for example, the pitch value representing the distance length between the patterns on the tire and the arrangement sequence number of different pitch values ​​on the tire (i.e., the arrangement method of the pitch values) are extracted; further, the multiple extracted pitch values ​​are arranged in sequence according to the actual arrangement order of the pitch values ​​on the tire to generate an initial pitch sequence. For example, the spacing between the treads on the tire is 10, 9, 9, 8, 5, 8, 7, 6, 9 in order, then the generated initial pitch sequence is (10 9 9 8 5 8 7 6 9).

[0044] According to an optional embodiment of the present application, the acquiring the at least one initial pitch sequence further comprises: in the absence of the initial pitch scheme, acquiring a plurality of initial pitch sequences, wherein the initial pitch sequence is generated by: generating a plurality of random number sequences conforming to a restriction condition, wherein the restriction condition is used to indicate the number of random numbers contained in the random number sequence, the numerical value of the random number, and the number of random numbers with the same numerical value; determining a second energy ratio value corresponding to each random number sequence, wherein the second energy ratio value is the ratio of the maximum noise energy of the tire with the random number sequence as the pattern pitch sequence in the second evaluation interval corresponding to the random number sequence to the sum of all noise energies in the second evaluation interval; selecting the second energy ratio value from the plurality of second energy ratio values in ascending order of numerical value to obtain a numerical value set, wherein the number of second energy ratio values contained in the numerical value set is less than the number of random number sequences; and determining the random number sequence corresponding to the second energy ratio value in the numerical value set as the initial pitch sequence.

[0045] In this embodiment, if the information for generating the initial pitch sequence is an instruction information, which gives the number of pitch values, the pitch value, and the type of pitch value (the number of pitch values ​​for each value), then multiple initial pitch sequences are obtained in step S202; wherein each initial pitch sequence is composed of random numbers, wherein the random numbers are generated based on the restriction conditions (i.e., the instruction information), the number of pitch values ​​is the number of random numbers generated, the pitch value is the value of the random number generated, and the type of pitch value is the number of values ​​of the random number generated and the number of random numbers for each value. For example, the instruction information specifies that the pitch value is 9, and the pitch values ​​include: 10, 9, 8, 7, 6, and 5. Moreover, there is 1 pitch value of 10, 3 pitch values ​​of 9, 2 pitch values ​​of 8, 1 pitch value of 7, 1 pitch value of 6, and 1 pitch value of 5. Then 9 random numbers are generated, where these 9 random numbers include one 10, three 9s, two 8s, one 7, one 6, and one 5. Next, the random numbers are arranged in different ways to generate multiple random number sequences, and the initial pitch sequence is screened from the multiple random number sequences, where the arrangement of the random numbers in each random number sequence is different. In this embodiment, the generated multiple random number sequences are sorted in ascending order according to the (second) energy proportion value corresponding to each random number sequence, and each sorted random number sequence is marked with a corresponding sorting number. Random number sequences with sorting numbers less than a preset number are selected as the initial pitch sequence, or a preset number of random number sequences are selected in order starting from the first random number sequence. When determining the second energy proportion value corresponding to each random number sequence, the second evaluation interval corresponding to the random number sequence is first determined, and then the ratio of the maximum noise energy value in the second evaluation interval to the sum of all noise energy values ​​contained in the second evaluation interval is determined as the (second) energy proportion value corresponding to the random number sequence. In this embodiment, the (second) energy proportion values ​​may be screened first, and the random number series corresponding to the (second) energy proportion values ​​obtained by the screening may be determined as the initial pitch sequence: the (second) energy proportion values ​​may be arranged in order from small to large, and (second) energy proportion values ​​that are smaller than the preset energy proportion values ​​may be selected to form a numerical value set; or, a preset number of (second) energy proportion values ​​may be selected in order starting from the smallest (second) energy proportion value to form a numerical value set, and the random number series corresponding to the (second) energy proportion values ​​in the numerical value set may be used as the initial pitch sequence. Figure 3 is the initial pitch sequence generated based on random numbers, and then Figure 3 Take as an example how to select the initial pitch sequence from the random number sequence when the information for generating the initial pitch sequence is instruction information, such as Figure 3As shown, on the basis of the selected number of 10, the (second) energy ratio value corresponding to each random number sequence is determined according to the energy ratio value determination method provided in the embodiments of the present application, and after being arranged in the order from small to large according to the energy ratio value, the random number sequence located in the top ten (including the tenth) is screened out as the initial pitch sequence, such as Figure 3 As shown, the random number sequence located in the top ten in the sorting result is the random number sequence with the serial number of 1, the (second) energy ratio value (R max ) of 5.26, the random number sequence with the serial number of 2, the (second) energy ratio value (R max ) of 5.43, the random number sequence with the serial number of 3, the (second) energy ratio value (R max ) of 5.47, the random number sequence with the serial number of 4, the (second) energy ratio value (R max ) of 5.51, the random number sequence with the serial number of 5, the (second) energy ratio value (R max ) of 5.51, the random number sequence with the serial number of 6, the (second) energy ratio value (R max ) of 5.58, the random number sequence with the serial number of 7, the (second) energy ratio value (R max ) of 5.63, the random number sequence with the serial number of 8, the (second) energy ratio value (R max ) of 5.63, the random number sequence with the serial number of 9, the (second) energy ratio value (R max ) of 5.65, and the random number sequence with the serial number of 10, the (second) energy ratio value (R max ) of 5.66. The serial number of the random number sequence represents the ranking of the random number sequence.

[0046] Alternatively, the second evaluation interval is determined by the following method: obtaining basic information, wherein the basic information includes the circumference and the rotation speed of the tire with the pattern pitch sequence as the initial pitch sequence; generating a first noise order spectrum corresponding to the random number sequence according to the basic information and the random numbers in the random number sequence, wherein the first noise order spectrum is used to indicate the noise characteristics of the tire with the pattern pitch sequence as the random number sequence; determining the second evaluation interval in the first noise order spectrum, wherein the second evaluation interval is an order interval symmetric about a first center order of the first noise order spectrum, and the order number of the first center order is the same as the number of the random numbers; and determining the first energy ratio value according to the noise energy in the second evaluation interval.

[0047] In the embodiments, the (second) evaluation interval involved in the determination of the (second) energy ratio value corresponding to each random number sequence is obtained by Fourier transform of the random number sequence. When Fourier transform is performed, first, the time domain data information of one rotation of the tire is represented by using the Dirichlet function, and the i=1,…,n, where t represents the time it takes for the tire to rotate once, t i Indicates the time that the ith pattern spacing is in contact with the ground, L i Represents the i-th pitch value, v represents the rotation speed of the tire; each random number sequence represents a sequence composed of pitch values, and each random number represents a pitch value. The information in the above function can be calculated based on the basic information obtained and the random number sequence. Among them, the basic information obtained is the circumference and rotation speed of the tire with the pattern spacing arranged according to the initial pitch sequence. The ratio of the circumference to the rotation speed (v) can be calculated to obtain the time (t) consumed by the tire to rotate one circle, and each pitch value (L i ) to the rotational speed (v), the time each pattern spacing is in contact with the ground (t i ). Since the method provided in the embodiment of the present application is to optimize the initial pitch sequence, before generating the final pitch sequence (i.e., the first target pitch sequence), no matter how many times the basic information is obtained, the basic information obtained is the same. The circumference and rotation speed in the basic information can be user-defined or extracted based on the historical motion information of the tire. Next, the time domain form is converted to Converted into order domain (frequency domain) data, we get Among them, a0, a h 、b h are coefficients, Amplitude Amplitude c h It represents the noise energy corresponding to each order / frequency, with order (frequency) as the horizontal axis and amplitude c corresponding to each order as the horizontal axis. h Generate a (first) noise order spectrum for the total coordinates, and the (second) evaluation interval can be determined in the (first) noise order spectrum. According to the principle that the energy of the first harmonic is concentrated near the order consistent with the total number of pitches, in this embodiment, the order indicated by the number of pitch values ​​(the number of random numbers contained in each random number sequence in this embodiment) is used as the (first) center order, and the interval of the (first) noise order spectrum symmetrical about the (first) center order is used as the (second) evaluation interval. For example, 20 orders to the left and right of the center order are used as the influence range of the first harmonic (i.e., the second evaluation interval), and according to the amplitude c under the order in this interval h Calculate the (second) noise energy ratio value, each noise energy ratio value (R max ) According to the formula Calculated, where C max Represents the amplitude c corresponding to each order in the evaluation interval [n-20,n+20] symmetrical about the central order (n) h The maximum amplitude (noise energy) in .

[0048] In step S204, a first energy ratio value corresponding to the initial pitch sequence is determined, where the first energy ratio value is a ratio of a maximum noise energy in a first evaluation interval corresponding to the initial pitch sequence to a sum of all noise energies in the first evaluation interval, and the noise energy in the first evaluation interval is noise energy generated by the tire with the pattern pitch sequence being the initial pitch sequence.

[0049] Since the scheme provided by the embodiments of the present application only changes the arrangement of the tire pattern, the number of the tire pattern (i.e., the specification of the tire does not change), and the total energy of the first harmonic does not change much for the same specification but different arrangement, the lower the energy ratio value is, the closer the pitch noise is to white noise, without obvious peak noise, and the better the noise level is. Therefore, the embodiments of the present application evaluate the noise of the tire by using the noise energy ratio value. In step S204, after the initial pitch sequence is obtained in step S202, the (first) energy ratio value corresponding to the initial pitch sequence is determined, and the (first) energy ratio value is also calculated by the formula C max is the maximum amplitude (noise energy) of the amplitudes c h of each order corresponding to the (first) evaluation interval ([n-20, n+20]) corresponding to the initial pitch sequence about the center order n, and the determination method of the first evaluation interval is the same as that of the second evaluation interval, and the difference is that the noise energy of each order corresponding to the (first) evaluation interval is the noise energy generated by the tire when the pattern of the tire is arranged according to the initial pitch sequence, and the noise energy of each order corresponding to the (first) evaluation interval is the noise energy generated by the tire when the pattern of the tire is arranged according to the random number sequence.

[0050] Optionally, the first evaluation interval is determined by the following method: obtaining basic information, where the basic information includes a circumference and a rotation speed of the tire with the pattern pitch sequence being the initial pitch sequence; generating a second noise order spectrum corresponding to the initial pitch sequence according to the basic information and the pitch values in the initial pitch sequence, where the second noise order spectrum is used to indicate the noise characteristics of the tire with the pattern pitch sequence being the initial pitch sequence; and determining the first evaluation interval in the second noise order spectrum, where the first evaluation interval is an order interval symmetric about a second center order of the second noise order spectrum, and the order number of the second center order is the same as the number of the pitch values contained in the initial pitch sequence.

[0051] In the embodiments of the present application, the evaluation interval used when evaluating the tread noise of the tire with the initial pitch sequence is referred to as the first evaluation interval, the evaluation interval used when evaluating the tread noise of the tire with the random number sequence is referred to as the second evaluation interval, and the evaluation interval used when evaluating the tread noise of the tire with the optimized pitch sequence output by each iteration is referred to as the third evaluation interval. Each evaluation interval is determined based on the corresponding pitch sequence and the obtained basic information. When determining the (first) evaluation interval corresponding to the initial pitch sequence, the time t consumed by the tire in one rotation is calculated according to the basic information and the initial pitch sequence, the time t consumed by the ith pitch interval in contact with the ground is calculated according to the basic information and the initial pitch sequence, and the (first) evaluation interval is determined based on the time t consumed by the tire in one rotation and the time t consumed by the ith pitch interval in contact with the ground. i each pitch value L contained in the initial pitch sequence i the rotation speed (v) of the tire i = 1, …, n, which is converted into a Fourier series Based on the formula the amplitude (c h ) under different orders is calculated, and a (second) noise order spectrum is plotted with the orders as the horizontal coordinates and the noise energy c h corresponding to different orders as the vertical coordinates, the number of pitch values contained in the initial pitch sequence is determined (for example, 5), the 5th order is taken as the (second) center order, and the interval in the (second) noise order spectrum that is symmetric about the (second) center order is taken as the (first) evaluation interval.

[0052] In step S206, the initial pitch sequence is iteratively optimized until a preset number of iterations is reached, and a first target pitch sequence is output. The first target pitch sequence is the pitch sequence with the minimum energy proportion value in the pitch sequence set, which includes the optimized pitch sequence output by each iteration and the initial pitch sequence.

[0053] In step S206, the initial pitch sequence is iteratively optimized, and the optimal pitch sequence (i.e., the first target pitch sequence) is output when the number of iterations reaches the preset number of iterations. When the pitch intervals of the tire are arranged according to the arrangement of the pitch values in the optimal pitch sequence, the tire produces the lowest tread noise. Since a lower energy proportion value indicates that the pitch noise tends to be white noise and the noise level is better, the energy proportion value of the optimal pitch sequence (i.e., the first target pitch sequence) is smaller than the energy proportion values of all the pitch sequences contained in the pitch sequence set, which includes the initial pitch sequence before optimization and multiple optimized pitch sequences output by multiple iterations.

[0054] Optionally, the initial pitch sequence is iteratively optimized, including: performing an optimization operation on the initial pitch sequence to obtain a first pitch sequence; determining a gradient value of the first pitch sequence, or a maximum continuous number of the same numerical value pitch value in the initial pitch sequence; in a case where the gradient value is less than or equal to a preset gradient value, or in a case where the maximum continuous number is less than or equal to a preset value, the first pitch sequence is determined as the optimized pitch sequence; in a case where the gradient value is greater than the preset gradient value, or in a case where the maximum continuous number is greater than the preset value, the optimization operation is repeatedly performed on the first pitch sequence until the optimized pitch sequence is obtained.

[0055] If only one initial pitch sequence is obtained in step S202, only one initial pitch sequence is iteratively optimized, and the optimal pitch sequence (i.e., the first target pitch sequence) output is determined in the initial pitch sequence and the optimized sequence output each time the initial pitch sequence is iteratively optimized. If multiple initial pitch sequences are obtained in step S202, each initial pitch sequence is iteratively optimized, a corresponding optimal pitch sequence is selected based on the iterative optimization result of each initial pitch sequence, and after multiple initial pitch sequences corresponding to multiple optimal pitch sequences are obtained, the optimal pitch sequence with the smallest energy proportion value is selected as the final first target pitch sequence for rearranging the tire pattern. Alternatively, according to user demand, one of the multiple optimal pitch sequences is selected as the first target pitch sequence for rearranging the tire pattern. In this embodiment, the iterative optimization process of each initial pitch sequence is as follows. First, an optimization operation is performed on the initial pitch sequence, which changes the arrangement order of the pitch values in the initial pitch sequence, so that the initial pitch sequence after the optimization operation is different from the initial pitch sequence before the optimization operation. Further, in this embodiment, the gradient value of the sequence or the number of continuous arrangement of the same numerical value in the sequence (i.e., the maximum continuous number) is used as a limiting condition. If the gradient value of the initial pitch sequence after the optimization operation is less than a preset gradient value (e.g., 4), the initial pitch sequence is output as the optimized pitch sequence, otherwise, the sequence output by the current iterative optimization operation is discarded, and the sequence output by the current iterative optimization operation is not put into the pitch sequence set.

[0056] It should be noted that when calculating the gradient value of the pitch sequence, the difference between the starting pitch value of the sequence as the exchange segment (i.e., the first sequence and the second sequence) and the adjacent previous pitch value, and the difference between the ending pitch value of the sequence as the exchange segment (i.e., the first sequence and the second sequence) and the adjacent next pitch value are both the gradient value of the pitch sequence. For example, the sequence as the exchange segment is (2 3 3 3 2), the starting pitch value of the sequence is 2, and the ending pitch value of the sequence is 2. If the entire sequence is (5 2 3 3 3 2 8), the gradient value of the exchange segment sequence has two, which are the difference between 5 and 2, and the difference between 2 and 8.

[0057] It also needs to be explained that in determining the maximum number of continuous pitches of each pitch sequence, the entire pitch sequence is searched, and if the difference between each pitch and the previous pitch is 0, the continuous pitch count is incremented by 1, and if it is not 0, the continuous pitch count is reset to 0. When searching the sequence, attention should be paid to the connection of the beginning and the end, and the pitch at the end of the sequence should be searched with the pitch at the beginning of the sequence. The maximum value of the continuous pitch count during the search process is recorded and compared with the preset limit requirement. If it does not meet the requirement, the sequence is discarded and the alternation is performed again. The connection of consecutive same pitches will cause local rigidity concentration, and the change of the pitch at the position where the pitch changes will also cause uneven wear, resulting in a decrease in the true circularity of the tire and a series of problems such as tire radial runout.

[0058] According to an optional embodiment of the present application, an optimization operation is performed on the initial pitch sequence, including: exchanging a first sequence with a length of a preset length in the initial pitch sequence and starting from a pitch value indicated by a first position number with a second sequence with a length of the preset length and starting from a pitch value indicated by a second position number, to obtain a second pitch sequence, wherein the first position number is different from the second position number; exchanging a plurality of pitch values at a plurality of target positions in the second pitch sequence to obtain the first pitch sequence, wherein the pitch values at the target positions in the first pitch sequence are different from the pitch values at the target positions in the second pitch sequence.

[0059] In the embodiment, the optimization operation mentioned in the previous embodiment includes the exchange operation and the mutation operation. When optimizing the initial pitch sequence, the exchange operation is first performed on the initial pitch sequence to obtain an exchange operation result, and then the mutation operation is performed on the exchange operation result to output the pitch sequence after the optimization operation (i.e., the first pitch sequence). The exchange operation is to exchange two short sequences (i.e., the first sequence and the second sequence) in the initial pitch sequence. The two short sequences are short sequences with a preset length and starting from a pitch value at a crossover position in the initial pitch sequence. The crossover position is a position indicated by a position serial number (i.e., the first position serial number and the second position serial number). The (first / second) position serial number is a generated random number. The preset length is also determined by the generated random number. For example, when performing the optimization operation, two random numbers are first generated as position random numbers, wherein the position random numbers need to be different from each other. In addition, a random number with a size of 1 to i (i.e., the number of pitch values contained in the initial pitch sequence, which can be different according to different schemes) is generated as a length random number (i.e., the preset length). Two crossover positions are calculated, and the fragments (short sequences) with the length of the length random number (i.e., the preset length) at the crossover positions in the body sequence (i.e., the initial pitch sequence) are exchanged to obtain an exchange result (i.e., the second pitch sequence). The mutation operation on the exchange operation result (i.e., the second pitch sequence) is to exchange the pitch values at a plurality of different (target) positions, so that the pitch value at each (target) position after the exchange is different from the type of the pitch value at the (target) position before the exchange. The (target) position is also determined according to the generated random number. i random numbers are generated, i different position numbers are calculated, and the pitch of the i positions is varied to other types of pitch according to the principle of random variation, such as 1 pitch to 4 pitch. At the same time, the total number of pitches and the number of various types of pitches are limited to remain unchanged to prevent design failure due to the change in the number. Figure 4 is a schematic diagram of performing the optimization operation on the initial pitch sequence. As shown in Figure 4 , the initial pitch sequence is (33425534233323434131132122311522452211443444415553431133222344435215453). The short sequences (i.e., the first sequence and the second sequence) to be exchanged are (23332) and (44344), respectively. The crossover result is (33425534443443434131132122311522452211233324415553431133222344435215453). Further, the random variation on the exchange operation result can obtain the optimized pitch sequence (33425534443443434131332142311522452211233324411553431123222354435215453).

[0060] According to another optional embodiment of the present application, outputting the first target pitch sequence comprises: determining a third energy ratio value corresponding to each optimization pitch sequence, wherein the third energy ratio value is a ratio of maximum noise energy of the tire with the pattern pitch sequence being the optimization pitch sequence in a third evaluation interval corresponding to the optimization pitch sequence to a sum of all noise energies in the third evaluation interval; and comparing the plurality of third energy ratio values with the first energy ratio values, and outputting the pitch sequence corresponding to the minimum energy ratio value as the output first target pitch sequence.

[0061] Since the last output optimal pitch sequence (i.e. the first target pitch sequence) is the pitch sequence with the minimum energy ratio value in the pitch sequence set, in the present embodiment, the (third) energy ratio value corresponding to each optimization pitch sequence needs to be determined before the optimal pitch sequence (i.e. the first target pitch sequence) is output. The calculation method of the (third) energy ratio value is the same as that of the (first) energy ratio value and the (second) energy ratio value, which is also a ratio of maximum noise energy C max of the tire with the pattern pitch sequence being the optimization pitch sequence in the (third) evaluation interval to a sum of all energy ratio values c h in the (third) evaluation interval.

[0062] Optionally, the third evaluation interval is determined by the following method: obtaining basic information, wherein the basic information comprises a circumference of the tire with the pattern pitch sequence being the initial pitch sequence and a rotation speed; generating a third noise order spectrum corresponding to the optimization pitch sequence according to the basic information and the pitch values in the optimization pitch sequence, wherein the third noise order spectrum is used to indicate the noise characteristics of the tire with the pattern pitch sequence being the optimization pitch sequence, and different optimization pitch sequences correspond to different third noise order spectra; and determining the third evaluation interval in the third noise order spectrum, wherein the third evaluation interval is a symmetric interval about a third center order of the third noise order spectrum, and the order number of the third center order is the same as the number of the pitch values contained in the optimization pitch sequence.

[0063] In the present embodiment, the evaluation interval corresponding to each pitch sequence is determined by the same method. When determining the (third) evaluation interval corresponding to the optimization pitch sequence, the time t consumed by the tire to rotate one round, the time t i at which the ith pattern pitch is in contact with the ground, each pitch value L i contained in the optimization pitch sequence, and the rotation speed (v) of the tire are substituted into the function i = 1, …, n, which is converted into Based on the formula , the amplitudes (c h), taking the order as the horizontal coordinate and the noise energy c h The (third) noise order spectrum is plotted with the order as the vertical coordinate, the number of pitch values contained in the optimal pitch sequence is determined (for example, 6), the 6th order is taken as the (third) center order, and the interval symmetric about the (third) center order in the (third) noise order spectrum is taken as the (third) evaluation interval.

[0064] In step S208, the pattern of the tire is rearranged according to the first target pitch sequence to obtain a low-noise tire.

[0065] In step S208, after the optimal pitch sequence (i.e., the first target pitch sequence) is output, the pattern of the tire is rearranged according to the manner corresponding to the optimal pitch sequence (i.e., the first target pitch sequence) to obtain a low-noise tire. Since the optimal pitch sequence (i.e., the first target pitch sequence) is obtained by optimizing the initial pitch sequence, and only the arrangement manner of the pitch values in the sequence is changed in the optimization process, the number of types of pitch values, the total number, and the number of each type of pitch value contained in the optimal pitch sequence (i.e., the first target pitch sequence) are the same as those of the initial pitch sequence. When generating a low-noise tire, as long as the pitch interval values are arranged in the order of the arrangement of the pitch values in the optimal pitch sequence (i.e., the first target pitch sequence), a low-noise tire can be obtained. For example, if the optimal pitch sequence (i.e., the first target pitch sequence) is the sequence 3, 2, 1, 4, 5, then there are 5 pitch interval values in the low-noise tire, and the pitch interval values are 3, 2, 1, 4, and 5 in turn.

[0066] According to some optional embodiments of the present application, the method for manufacturing a low-noise tire further comprises: determining an auxiliary evaluation index corresponding to the initial pitch sequence, wherein the auxiliary evaluation index is an index related to tire noise, and the auxiliary evaluation index is determined by the following method: determining the noise energy value of each order in the first noise order spectrum corresponding to the initial pitch sequence; determining the noise energy ratio as the ratio of the noise energy value of each order to the sum of all noise energies in the first evaluation interval; determining the cumulative result of a plurality of noise energy ratios contained in a preset interval, and determining the cumulative result with the largest value as the auxiliary evaluation index, wherein the preset interval is an order interval symmetric about the order, the range of the preset interval is smaller than the range of the first evaluation interval, and the preset interval corresponding to each order is different.

[0067] Since the order energy of the tire can be coupled with the resonance band during the actual rotation of the tire, the resonance band is usually a wideband resonance band, and when a certain order is coupled, it will jointly affect the surrounding orders. Therefore, in addition to taking the energy proportion value (R max ) as the pitch evaluation standard, an auxiliary evaluation index can also be added or reduced, and the auxiliary evaluation index and R maxCo-screening optimal pitch sequence. In this embodiment, the preset interval maximum energy proportion value (R 3max ) corresponding to each order is taken as an auxiliary evaluation index, wherein the auxiliary evaluation index (R 3max ) is calculated by the following method: first, the noise energy value (c h ) of each order is determined in the (first) noise spectrum generated according to the initial pitch sequence; further, the ratio of the noise energy value (c h ) of each order to the sum of all noise energy values (c h ) in the (first) evaluation interval corresponding to the initial pitch sequence is calculated, which is recorded as the noise energy ratio; in each calculation, the current order is h, the noise energy ratio of the current order is recorded as R h , and the noise energy ratio of the previous order adjacent to the current order on the noise spectrum is recorded as R h-1 , and so on. After determining the noise energy ratio of each order, for each order, the interval symmetric about the current order in the noise spectrum is determined as the auxiliary evaluation index interval (i.e., the preset interval) corresponding to each order, and the range of the auxiliary evaluation index interval (i.e., the preset interval) is smaller than that of the total evaluation interval (i.e., the first evaluation interval). For example, if the auxiliary evaluation index interval (i.e., the preset interval) is set to contain three orders, the interval in the noise spectrum, which has the current order as the center, the previous order adjacent to the current order as the boundary, and the next order adjacent to the current order as the boundary, is determined as the auxiliary evaluation index interval (i.e., the preset interval) corresponding to the current order. The noise energy ratio of the next order adjacent to the current order on the noise spectrum is recorded as R h+1 , the cumulative result (R 3sum ) of the three energy ratios is calculated, R 3sum =R h-1 +R h +R h+1 ; the cumulative result (R 3sum ) of the energy ratio corresponding to each order in the first evaluation interval is determined according to the above method, a plurality of cumulative results (R 3sum ) are obtained, and the maximum value in the plurality of R 3sum is recorded as the auxiliary evaluation index (R 3max ) corresponding to the initial pitch sequence.

[0068] Optionally, in the case where the auxiliary evaluation index corresponding to the initial pitch sequence is determined, the method for manufacturing a low-noise tire further comprises: iteratively optimizing the initial pitch sequence until a preset iteration number is reached, outputting a second target pitch sequence, wherein the second target pitch sequence is the pitch sequence with the minimum first energy proportion value and the minimum auxiliary evaluation index in the pitch sequence set; and rearranging the pattern of the tire according to the second target pitch sequence to obtain a low-noise tire.

[0069] In the embodiment, the auxiliary evaluation index R max When the optimal pitch sequence is screened out, the noise energy ratio value (R max ) of the pitch sequence set composed of the multiple optimized pitch sequences output by the iterative optimization of the initial pitch sequence and the initial pitch sequence is minimum, and the auxiliary evaluation index (R 3max ) is also minimum, and the pitch sequence output under the double restriction conditions (i.e., the second target pitch sequence) is the optimal pitch sequence under the double restriction conditions, and the tire pattern is arranged according to the arrangement order indicated by the optimal pitch sequence under the double restriction conditions (i.e., the second target pitch sequence), and a low-noise tire can be obtained.

[0070] Through the above steps, iterative optimization can be realized on the basis of the original pitch, the optimization range can be expanded by increasing the number of iterations, the case of multiple optimization positions but narrow range caused by the enumeration method can be avoided, and the possibility of finding the optimal solution can be improved; a large number of random numbers are used for alternation, and a parallel computing method is used, which can improve the optimization range and breadth on the one hand, and reduce the number of single cycles on the other hand, and multiple cycles in parallel can improve the optimization efficiency; the limit logic is used to limit the maximum number of the same pitch and the gradient value of the adjacent pitch, so that the noise performance is guaranteed and the mechanical performance is considered.

[0071] Figure 5 is a structural diagram of a low-noise tire manufacturing device provided by an embodiment of the present application, as shown in Figure 5 The low-noise tire manufacturing device includes: an acquisition module 50, configured to acquire at least one initial pitch sequence, wherein each initial pitch sequence includes multiple pitch values, and the pitch value is used to indicate the distance between any two patterns on the tire; a determination module 52, configured to determine a first energy ratio value corresponding to the initial pitch sequence, wherein the first energy ratio value is the ratio of the maximum noise energy in the first evaluation interval corresponding to the initial pitch sequence to the sum of all noise energies in the first evaluation interval, and the noise energy in the first evaluation interval is the noise energy generated by the tire with the pattern pitch sequence being the initial pitch sequence; an optimization module 54, configured to perform iterative optimization on the initial pitch sequence until a preset number of iterations is reached, and output a first target pitch sequence, wherein the first target pitch sequence is the pitch sequence corresponding to the minimum energy ratio value in the pitch sequence set, and the pitch sequence set includes: the optimized pitch sequence output each time the iterative optimization is performed, and the initial pitch sequence; and an arrangement module 56, configured to rearrange the patterns of the tire according to the first target pitch sequence, and obtain a low-noise tire.

[0072] Figure 6 is a working flowchart of the low-noise tire manufacturing device, as shown in Figure 6As shown, when the acquisition module 50 acquires the initial pitch sequence, first, it is determined whether there is an initial pitch scheme, if there is, the initial pitch data is acquired therefrom to generate the initial pitch sequence, otherwise, a random number is generated to form a random number sequence, and a plurality of initial pitch sequences are screened out. The acquisition module 50 transmits the acquired initial pitch sequence to the determination module 52, the determination module 52 calculates the (first) energy ratio value (R max ) corresponding to the initial pitch sequence, and marks it as the origin value (Origin); next, the optimization module 54 performs an optimization operation on the initial pitch sequence, as shown in Figure 6 , when the initial pitch sequence is optimized, first, a crossover operation (exchange operation) is performed: the short sequences with a preset length in the initial pitch sequence are exchanged starting from two random positions different from each other; next, the pitch variation is performed on the plurality of (N) random positions of the initial pitch sequence after the crossover operation (exchange operation); finally, it is verified whether the maximum continuous number and the gradient value of the initial pitch sequence of the optimization operation meet the pre-set conditions, if yes, the optimization result (new sequence) is output, if not, it is discarded. In the case of outputting the optimization result (new sequence), the energy ratio value (R max ) of the optimization result (new sequence) is calculated, the energy ratio value (R max ) of the new sequence is recorded together with the (first) energy ratio value of the initial pitch sequence, and it is judged whether the iteration number reaches the preset number, if not, the iteration optimization is continued, if yes, the iteration optimization is stopped, the minimum energy ratio value in the whole optimization process is output as the energy ratio value (best) of the optimal pitch sequence, and the pitch sequence corresponding to the minimum energy ratio value is output as the optimal pitch sequence (i.e. the first target pitch sequence). Arranging the pattern of the tire according to the optimal pitch sequence (i.e. the first target pitch sequence) can obtain a low-noise tire.

[0073] It should be noted that, Figure 5 the preferred embodiments of the embodiments shown can be referred to the related description of the embodiments shown in Figure 2 , which will not be described here.

[0074] The method provided by the embodiments of the present application can meet the optimization of tire pattern pitch arrangement of different specifications, with or without initial pitch. The present application is fully described below through two examples, example one is the optimization based on the existing initial pitch of the old pattern arrangement, and example two is the optimization based on the random generation of the arrangement without initial pitch. In both examples, the interval energy ratio maximum value R max and the auxiliary evaluation index R 3max are used as the pitch noise evaluation standard, and are used as the optimization objective function of the body random alternation optimization method.

[0075] Example 1: using tire specifications 215 / 55R18, the initial pitch arrangement is extracted as 435551312122413422211124333254531245535441212213554212521534414353134312154342124123313, each pitch length is 19.78, 22.61, 25.46, 28.28, 31.15 mm, a total of 87 pitches. According to the method provided in the application embodiment, first, the initial pitch information is extracted, including pitch sorting, total number of pitches, and the number and length of each pitch, and the pitch time domain data is calculated. By Fourier series expansion, the time domain data is converted into frequency domain data; the initial pitch arrangement is taken as the ontology input, the ontology is randomly changed, and the iteration number is set to 10*100000 times. 10 same ontologies can be parallelly iterated for 100000 times, and the maximum value R max and R 3max of the energy ratio of the first harmonic interval of the iteration pitch is recorded each time. max and R 3max of the new sorted pitch sequence are compared with R max and R 3max of the ontology, if R max and R 3max of the new sorted pitch sequence are smaller than R max and R 3max of the ontology, R max and R 3max of the new sorted pitch sequence are recorded as the optimal value, and the new sorting is taken as the ontology for the next iteration. At the same time, the maximum number of the same pitch in the optimization is set to 3, the maximum change gradient of the pitch is set to 4, and the sorting that does not meet the requirements is discarded. After 10*100000 iterations, the ontology optimization is completed, and the pitch arrangement order of the optimization result is 445533112123443121211434323453521245555421321213554212121125454353334313254242124231113. Figure 7 is the comparison result of the initial pitch sequence based on the actual pitch information and the pitch sequence after optimization, Figure 7 in which the maximum energy ratio R max of the initial pitch arrangement is 5.36, and R 3max is 10.82; the maximum energy ratio R max of the optimal pitch sequence obtained by optimization is 3.98, and R 3max is 9.50; as shown in Figure 7 , the comparison of the results before and after optimization shows that on the basis of the initial pitch, the maximum energy ratio of the new pitch sorting is greatly reduced, and the energy of each order tends to be white noise energy, and the energy of each order tends to be the same.

[0076] Example 2: This example does not have an initial pitch. According to the method provided in the embodiments of the present application, a large number of random number sequences are generated as pitch sequences, and 10 sequences with optimal (minimum) R max values are selected as initial pitch sequences. The 10 initial optimization pitches are input as the main body, the iteration number is set to 10*100000, the maximum continuous number of the same pitch is 4, the maximum gradient change is 4, the main body random alternation is performed, Figure 8 The comparison result of the initial pitch sequence based on random numbers and the optimized output pitch sequence is Figure 8 In the initial pitch arrangement, the maximum energy ratio R max is 5.26, and R 3max is 15.44; the maximum energy ratio R max of the optimal pitch sequence obtained by optimization is 5.03, and R 3max is 13.67; as Figure 8 shown, the original 10 initial results have good optimization effect, and the amplitude of the central order has been significantly reduced.

[0077] The embodiments of the present application also provide a non-volatile storage medium, and the non-volatile storage medium stores a computer program. When a device in which the non-volatile storage medium is located runs the computer program, the above manufacturing method of a low-noise tire is executed.

[0078] The non-volatile storage medium is used to store a program for executing the following functions: obtaining at least one initial pitch sequence, wherein each initial pitch sequence includes a plurality of pitch values, and the pitch values are used to indicate the distance between any two patterns on a tire; determining a first energy ratio value corresponding to the initial pitch sequence, wherein the first energy ratio value is the ratio of the maximum noise energy in the first evaluation interval corresponding to the initial pitch sequence to the sum of all noise energies in the first evaluation interval, and the noise energy in the first evaluation interval is the noise energy generated by the tire with the pattern pitch sequence as the initial pitch sequence; iteratively optimizing the initial pitch sequence until a preset iteration number is reached, and outputting a first target pitch sequence, wherein the first target pitch sequence is the pitch sequence corresponding to the energy ratio value with the minimum value in the pitch sequence set, and the pitch sequence set includes: the optimization pitch sequence output each time the iterative optimization is performed, and the initial pitch sequence; and rearranging the patterns of the tire according to the first target pitch sequence to obtain a low-noise tire.

[0079] The embodiments of the present application also provide an electronic device, which includes a memory and a processor, and the memory stores a computer program. The processor is configured to execute the above manufacturing method of a low-noise tire through the computer program.

[0080] The processor in the electronic device is configured to run a program for performing the following functions: obtaining at least one initial pitch sequence, wherein each initial pitch sequence includes a plurality of pitch values, and the pitch values are used to indicate the pitch of any two patterns on the tire; determining a first energy ratio value corresponding to the initial pitch sequence, wherein the first energy ratio value is the ratio of the maximum noise energy in a first evaluation interval corresponding to the initial pitch sequence to the sum of all noise energies in the first evaluation interval, and the noise energy in the first evaluation interval is the noise energy generated by the tire with the pattern pitch sequence being the initial pitch sequence; iteratively optimizing the initial pitch sequence until a preset iteration number is reached, and outputting a first target pitch sequence, wherein the first target pitch sequence is the pitch sequence corresponding to the minimum energy ratio value in the pitch sequence set, and the pitch sequence set includes: the optimized pitch sequence output each time the iteration optimization is performed, and the initial pitch sequence; and rearranging the patterns of the tire according to the first target pitch sequence to obtain a low-noise tire.

[0081] The embodiments of the present application further provide a computer program product, which comprises computer instructions, and the computer instructions are executed by a processor to implement the steps of the manufacturing method of the low-noise tire.

[0082] It should be noted that each module in the manufacturing device of the low-noise tire can be a program module (for example, a program instruction set for implementing a certain specific function) or a hardware module, and for the latter, it can be in the following forms, but is not limited thereto: each module is in the form of a processor, or the functions of each module are implemented by a processor.

[0083] The serial numbers of the embodiments of the present application are only for description, and do not represent the advantages or disadvantages of the embodiments.

[0084] In the above embodiments of the present application, the description of each embodiment has its own emphasis, and the parts not described in detail in a certain embodiment can be referred to the related description of other embodiments.

[0085] In the several embodiments provided by the present application, it should be understood that the disclosed technology can be implemented in other ways. Of course, the device embodiment described above is only schematic. For example, the division of the units can be different, and each unit or component can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed mutual coupling or direct coupling or communication connection between each of the coupled or directly coupled or communicated can be indirect coupling or communication connection through some interface, unit or module, and can be electrical or other form.

[0086] The units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment scheme.

[0087] In addition, the functional units in each embodiment of the present application can be integrated in one processing unit, or each unit can be physically present alone, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0088] The integrated unit, if realized in the form of a software functional unit and sold or used as an independent product, can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application or the part that contributes to the related art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing 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 foregoing storage medium includes: a U disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a mobile hard disk, a magnetic disk or an optical disk, and various program code storage media.

[0089] The above is only the preferred embodiment of the present application, and it should be pointed out that for those skilled in the art, without departing from the principles of the present application, a number of improvements and refinements can be made, and these improvements and refinements should be considered as the protection scope of the present application.

Claims

1. A method for manufacturing a low-noise tire, characterized in that: include: Acquire at least one initial pitch sequence, wherein each of the initial pitch sequences includes a plurality of pitch values, and the pitch values ​​are used to indicate the distance between any two tread patterns on the tire; determining a first energy proportion value corresponding to the initial pitch sequence, wherein the first energy proportion value is a ratio of a maximum noise energy in a first evaluation interval corresponding to the initial pitch sequence to a sum of all noise energies in the first evaluation interval, the noise energy in the first evaluation interval being noise energy generated by a tire having a tread pitch sequence corresponding to the initial pitch sequence; Iteratively optimizing the initial pitch sequence until a preset number of iterations is reached, and outputting a first target pitch sequence, wherein the first target pitch sequence is a pitch sequence corresponding to a minimum energy proportion value in a set of pitch sequences, the set of pitch sequences including: an optimized pitch sequence outputted by each iterative optimization, and the initial pitch sequence; The tire pattern is rearranged according to the first target pitch sequence to obtain a low-noise tire.

2. The method according to claim 1, characterized in that Obtain at least one initial pitch sequence, including: In the case where an initial pitch scheme exists, an initial pitch sequence is obtained, wherein the initial pitch sequence is generated by the following method: Obtaining the initial pitch scheme, wherein the initial pitch scheme is generated according to actual tread pitch information of the tire, the actual tread pitch information including: a plurality of the pitch values ​​and an arrangement of the pitch values; Arrange the plurality of pitch values ​​in the order indicated by the arrangement method to generate the initial pitch sequence.

3. The method according to claim 1, characterized in that Acquiring at least one initial pitch sequence further includes: In the absence of an initial pitch scheme, a plurality of initial pitch sequences are obtained, wherein the initial pitch sequences are generated by the following method: generating a plurality of random number sequences that meet a restriction condition, wherein the restriction condition is used to indicate the number of random numbers included in the random number sequence, the values ​​of the random numbers, and the number of random numbers with the same value; Determining a second energy proportion value corresponding to each of the random number sequences, wherein the second energy proportion value is a ratio of a maximum noise energy in a second evaluation interval corresponding to the random number sequence of a tire having a tread pitch sequence corresponding to the random number sequence to a sum of all noise energies in the second evaluation interval; Selecting the second energy proportion value from a plurality of second energy proportion values ​​in ascending order of value to obtain a value set, wherein the number of second energy proportion values ​​included in the value set is less than the number of the random number sequence; The random number sequence corresponding to the second energy proportion value in the value set is determined as the initial pitch sequence.

4. The method according to claim 3, characterized in that The second evaluation interval is determined by the following method: Acquiring basic information, wherein the basic information includes: a circumference and a rotation speed of a tire whose tread pitch sequence is the initial pitch sequence; generating a first noise order spectrum corresponding to the random number sequence according to the basic information and the random numbers in the random number sequence, wherein the first noise order spectrum is used to indicate noise characteristics of a tire having a tread pitch sequence of the random number sequence; determining the second evaluation interval in the first noise order spectrum, wherein the second evaluation interval is an order interval symmetrical about a first central order of the first noise order spectrum, and the order of the first central order is the same as the number of the random numbers; The first energy proportion value is determined according to the noise energy in the second evaluation interval.

5. The method according to claim 1, wherein The first evaluation interval is determined by the following method: Acquiring basic information, wherein the basic information includes: a circumference and a rotation speed of a tire whose tread pitch sequence is the initial pitch sequence; generating a second noise order spectrum corresponding to the initial pitch sequence according to the basic information and the pitch values ​​in the initial pitch sequence, wherein the second noise order spectrum is used to indicate noise characteristics of a tire having a tread pitch sequence of the initial pitch sequence; The first evaluation interval is determined in the second noise order spectrum, wherein the first evaluation interval is an order interval symmetrical about a second central order of the second noise order spectrum, and the order of the second central order is the same as the number of pitch values ​​included in the initial pitch sequence.

6. The method according to claim 1, characterized in that Iteratively optimizing the initial pitch sequence includes: performing an optimization operation on the initial pitch sequence to obtain a first pitch sequence; Determining a gradient value of the first pitch sequence, or a maximum number of consecutive rows indicating the maximum number of consecutive occurrences of the pitch values ​​of the same value in the initial pitch sequence; When the gradient value is less than or equal to a preset gradient value, or when the maximum number of consecutive rows is less than or equal to a preset value, determining the first pitch sequence as the optimized pitch sequence; When the gradient value is greater than the preset gradient value, or when the maximum number of consecutive rows is greater than the preset value, the optimization operation is repeatedly performed on the first pitch sequence until the optimized pitch sequence is obtained.

7. The method according to claim 6, characterized in that Performing an optimization operation on the initial pitch sequence, comprising: swapping a first sequence in the initial pitch sequence having a pitch value indicated by a first position sequence number as a starting point and a length of a preset length with a second sequence having a pitch value indicated by a second position sequence number as a starting point and a length of the preset length, to obtain a second pitch sequence, wherein the first position sequence number is different from the second position sequence number; The first pitch sequence is obtained by exchanging multiple pitch values ​​at multiple target positions in the second pitch sequence, wherein the pitch values ​​at the target positions in the first pitch sequence are different from the pitch values ​​at the target positions in the second pitch sequence.

8. The method according to claim 1, characterized in that Output the first target pitch sequence, including: Determining a third energy proportion value corresponding to each optimized pitch sequence, wherein the third energy proportion value is a ratio of a maximum noise energy in a third evaluation interval corresponding to the optimized pitch sequence of a tire having a tread pitch sequence corresponding to the optimized pitch sequence to a sum of all noise energies in the third evaluation interval; The plurality of third energy proportion values ​​are compared with the first energy proportion value, and a pitch sequence corresponding to a minimum energy proportion value is output as the output first target pitch sequence.

9. The method according to claim 8, characterized in that The third evaluation interval is determined by the following method: Acquiring basic information, wherein the basic information includes: a circumference and a rotation speed of a tire whose tread pitch sequence is the initial pitch sequence; generating a third noise order spectrum corresponding to the optimized pitch sequence based on the basic information and the pitch values ​​in the optimized pitch sequence, wherein the third noise order spectrum is used to indicate noise characteristics of a tire having a tread pitch sequence of the optimized pitch sequence, and different optimized pitch sequences correspond to different third noise order spectrums; The third evaluation interval is determined in the third noise order spectrum, wherein the third evaluation interval is a symmetric interval symmetric about the third central order of the third noise order spectrum, and the order of the third central order is the same as the number of pitch values ​​included in the optimized pitch sequence.

10. The method according to claim 1, characterized in that The method further comprises: Determine an auxiliary evaluation index corresponding to the initial pitch sequence, wherein the auxiliary evaluation index is an index related to tire noise, and the auxiliary evaluation index is determined by the following method: Determining noise energy values ​​of various orders in a first noise order spectrum corresponding to the initial pitch sequence; Determine a ratio of the noise energy value of each order to the sum of all noise energies in the first evaluation interval as a noise energy ratio; Determine the cumulative results of multiple noise energy ratios contained in a preset interval, and determine the cumulative result with the largest value as the auxiliary evaluation index, wherein the preset interval is an order interval symmetrical about the order, the range of the preset interval is smaller than the range of the first evaluation interval, and the preset interval corresponding to each order is different.

11. The method according to claim 10, characterized in that When the auxiliary evaluation index corresponding to the initial pitch sequence is determined, the method further includes: Iteratively optimizing the initial pitch sequence until a preset number of iterations is reached, and outputting a second target pitch sequence, wherein the second target pitch sequence is a pitch sequence in the set of pitch sequences having the smallest first energy proportion and the smallest auxiliary evaluation index; The tire pattern is rearranged according to the second target pitch sequence to obtain the low-noise tire.

12. A low-noise tire manufacturing device, characterized in that: include: an acquisition module, configured to acquire at least one initial pitch sequence, wherein each of the initial pitch sequences includes a plurality of pitch values, and the pitch values ​​are used to indicate a distance between any two tread patterns on the tire; a determination module, configured to determine a first energy proportion value corresponding to the initial pitch sequence, wherein the first energy proportion value is a ratio of a maximum noise energy in a first evaluation interval corresponding to the initial pitch sequence to a sum of all noise energies in the first evaluation interval, and the noise energy in the first evaluation interval is noise energy generated by a tire having a tread pitch sequence corresponding to the initial pitch sequence; an optimization module, configured to iteratively optimize the initial pitch sequence until a preset number of iterations is reached, and output a first target pitch sequence, wherein the first target pitch sequence is a pitch sequence corresponding to a minimum energy proportion value in a set of pitch sequences, the set of pitch sequences including: an optimized pitch sequence outputted by each iterative optimization, and the initial pitch sequence; An arrangement module rearranges the tire pattern according to the first target pitch sequence to obtain a low-noise tire.

13. A non-volatile storage medium, characterized in that: The non-volatile storage medium stores a computer program, wherein the method for manufacturing a low-noise tire according to any one of claims 1 to 11 is executed by running the computer program on the device where the non-volatile storage medium is located.

14. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to execute the method for manufacturing a low-noise tire according to any one of claims 1 to 11 through the computer program.

15. A computer program product comprising computer instructions, characterized in that When the computer instructions are executed by a processor, the steps of the method for manufacturing a low-noise tire according to any one of claims 1 to 11 are implemented.

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