Tire manufacturing method, apparatus, system, and non-transitory storage medium

Abstract

The application discloses a tire manufacturing method, device, system and nonvolatile storage medium. The method comprises the following steps: determining historical production data corresponding to a target specification, wherein the historical production data comprises a process performance index and a production parameter when the tire of the target specification is produced within a preset time period; determining a target production parameter from the historical production data, wherein the target production parameter is a production parameter corresponding to an optimal process performance index within the preset time period; manufacturing the tire of the target specification according to the target production parameter when the target production parameter exists; and manufacturing the tire of the target specification according to a preset production parameter when the target production parameter does not exist. The application solves the technical problem of excessive workload and high failure rate caused by the staff determining the production parameter according to experience in the related art.

Description

Technical Field

[0001] This application relates to the field of tire manufacturing, and more specifically, to a tire manufacturing method, apparatus, system, and non-volatile storage medium. Background Technology

[0002] Currently, in tire production, to avoid excessive recycled rubber due to substandard tire weight per metric inch, workers need to manually set the equipment's production parameters before producing each tire specification. However, tire production typically involves many different specifications, leading to a heavy workload for workers and increasing the risk of incorrect production parameter configurations.

[0003] There is currently no effective solution to the above problems. Summary of the Invention

[0004] This application provides a tire manufacturing method, apparatus, system, and non-volatile storage medium to at least solve the technical problems of excessive workload and high error rate caused by workers determining production parameters based on experience in related technologies.

[0005] According to one aspect of the embodiments of this application, a tire manufacturing method is provided, characterized in that it includes: determining historical production data corresponding to a target specification, wherein the historical production data includes process performance index and production parameters when producing tires of the target specification within a preset time period; determining target production parameters from the historical production data, wherein the target production parameters are the production parameters corresponding to the optimal process performance index within the preset time period; manufacturing tires of the target specification according to the target production parameters if the target production parameters exist; and manufacturing tires of the target specification according to preset production parameters if the target production parameters do not exist.

[0006] Optionally, the preset parameters include at least one of the following: crown rubber extruder speed, base rubber extruder speed, and wing rubber extruder speed. The step of manufacturing a tire of the target specification according to the preset production parameters includes: calculating the total rubber output per unit time based on the preset parameters; determining the target front weight per meter corresponding to the target specification and the target bead chamfer ratio corresponding to the target specification; calculating the target extrusion speed based on the total rubber output per unit time, the target front weight per meter, and the target bead chamfer ratio; and manufacturing a tire of the target specification based on the target extrusion speed and the preset production parameters.

[0007] Optionally, the step of manufacturing a tire of the target specification based on the extrusion speed and preset production parameters includes: determining a preset extrusion speed range; manufacturing a tire of the target specification based on the target extrusion speed and preset production parameters when the target extrusion speed is within the preset extrusion speed range; and adjusting the preset production parameters until the target extrusion speed is within the preset extrusion speed range when the target extrusion speed is outside the preset extrusion speed range; and manufacturing a tire of the target specification based on the adjusted preset production parameters and target extrusion speed.

[0008] Optionally, the step of adjusting the preset production parameters until the target extrusion line speed is within the preset extrusion line speed range includes: reducing the preset production parameters according to the preset adjustment rules, and recalculating the target extrusion line speed after reducing the preset production parameters; if the target extrusion line speed is not within the preset extrusion line speed range, reducing the preset production parameters again according to the preset adjustment rules until the target extrusion line speed is within the preset extrusion line speed range.

[0009] Optionally, historical production data refers to data collected during the tire manufacturing process, and also includes identification information corresponding to each production process.

[0010] Optionally, the tire manufacturing method further includes: displaying weight-per-meter information during the production of tires of the target specifications, wherein the weight-per-meter information includes the actual weight-per-meter value changing over time, and the range of set weight-per-meter values.

[0011] Optionally, the production parameters include at least one of the following: extrusion line speed, crown rubber extruder speed, base rubber extruder speed, and wing rubber extruder speed.

[0012] According to another aspect of the embodiments of this application, a tire manufacturing apparatus is also provided, comprising: a retrieval module, configured to determine historical production data corresponding to a target specification, wherein the historical production data includes process performance index and production parameters when producing tires of the target specification within a preset time period; a calculation module, configured to determine target production parameters from the historical production data, wherein the target production parameters are production parameters corresponding to the optimal process performance index within the preset time period; and a processing module, configured to manufacture tires of the target specification according to the target production parameters when the target production parameters exist; and to manufacture tires of the target specification according to preset production parameters when the target production parameters do not exist.

[0013] According to another aspect of the embodiments of this application, a tire manufacturing system is also provided, including: a host computer, a storage device, a server, and production equipment. The host computer is configured to: acquire historical production data corresponding to a target specification from the server, wherein the historical production data includes process performance indices and production parameters when producing tires of the target specification within a preset time period; determine target production parameters from the historical production data, wherein the target production parameters are the production parameters corresponding to the optimal process performance index within the preset time period; if target production parameters exist, instruct the production equipment to produce tires of the target specification according to the target production parameters; and if target production parameters do not exist, instruct the production equipment to produce tires of the target specification according to preset production parameters. The host computer is also configured to: collect production data during the tire production process of the production equipment and store the production data in the storage device; and the server is configured to: acquire production data from the storage device and calculate the process performance index corresponding to each tire production.

[0014] According to another aspect of the embodiments of this application, a non-volatile storage medium is also provided, the non-volatile storage medium including a stored program, wherein, when the program is running, the device where the non-volatile storage medium is located executes a tire manufacturing method.

[0015] According to another aspect of the embodiments of this application, an electronic device is provided, the electronic device including a memory and a processor, the processor being used to run a program stored in the memory, wherein the program executes a tire manufacturing method when it runs.

[0016] In this embodiment, a method of producing tires of a target specification based on historical production data or preset parameters is adopted. This involves determining the historical production data corresponding to the target specification, including process performance indices and production parameters during the production of tires of the target specification within a preset time period; determining the target production parameters from the historical production data, where the target production parameters are the production parameters corresponding to the optimal process performance index within the preset time period; manufacturing tires of the target specification according to the target production parameters when they exist; and manufacturing tires of the target specification according to preset production parameters when they do not exist. This achieves the goal of automatically determining the production parameters corresponding to the target specification tire, thereby eliminating the need for manual setting of production parameters by staff. This solves the technical problem of excessive workload and high error rate caused by staff determining production parameters based on experience in related technologies. Attached Figure Description

[0017] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments of this application and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0018] Figure 1 This is a schematic flowchart of a tire manufacturing method according to an embodiment of this application;

[0019] Figure 2 This is a schematic diagram of tire weight per meter information during a tire manufacturing process according to an embodiment of this application.

[0020] Figure 3 This is a schematic diagram of tire weight per meter information during a tire manufacturing process according to an embodiment of this application.

[0021] Figure 4 This is a schematic diagram of a tire manufacturing apparatus according to an embodiment of this application;

[0022] Figure 5 This is a schematic diagram of the structure of a tire manufacturing system according to an embodiment of this application;

[0023] Figure 6 This is a schematic diagram of the workflow of a tire manufacturing system provided according to an embodiment of this application. Detailed Implementation

[0024] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0025] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0026] In the extrusion process of tire manufacturing, the tire tread or sidewall is typically pulled out by a continuous extrusion line. In this case, the screw speed of the extruder and the pulling speed of the continuous line determine the weight per meter of the tread or the width fluctuation range of the sidewall, thus determining the first-pass yield of the tread or sidewall. Defective treads or sidewalls result in a large amount of recycled rubber, and the subsequent processing of this recycled rubber leads to a waste of manpower and resources. In related technologies, to avoid recycled rubber, workers typically need to set corresponding production parameters before producing each tire specification. Furthermore, when external environmental factors, raw materials, and production equipment change, workers must readjust these parameters. Therefore, when tire production volume is large, there is a high workload and a high risk of errors. To solve this problem, this application provides a related solution, which is described in detail below.

[0027] Example 1

[0028] According to an embodiment of this application, a method embodiment for manufacturing a tire is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0029] This application provides a tire manufacturing method, such as... Figure 1 As shown, the method includes the following steps:

[0030] Step S102: Determine the historical production data corresponding to the target specification, wherein the historical production data includes the process performance index and production parameters when producing tires of the target specification within a preset time period;

[0031] In the technical solution provided in step S102, the historical production data is the data collected during the tire manufacturing process, and the historical production data also includes the identification information corresponding to each production process.

[0032] Specifically, during each production run, different production tasks are assigned a unique identifier. This identifier, along with the various indicators and production parameters recorded for that production task, is first stored in a storage device. Then, the server calculates the process performance index corresponding to that production task based on the recorded indicators. After the calculation is complete, the identifier, process performance parameters, and production parameters are packaged and stored together, or recorded in a data table. The identifier facilitates the retrieval of relevant data during subsequent production processes.

[0033] In some embodiments of this application, the duration of the aforementioned preset time period can be set by the user.

[0034] Step S104: Determine the target production parameters from historical production data, wherein the target production parameters are the production parameters corresponding to the optimal process performance index within a preset time period;

[0035] In the scheme provided in step S104, the process performance index is also called PPK, and the specific calculation formula is as follows:

[0036]

[0037] Wherein, PPK is taken from the above P PK1 and P PK2 In the formula above, USL represents the upper tolerance limit and LSL represents the lower tolerance limit. The smaller of the two values ​​indicates the relative tolerance values. This represents the average of the averages of the data in each of the multiple data sets. This represents an estimate of the standard deviation.

[0038] In some embodiments of this application, the aforementioned process performance index also includes CPK, and the specific calculation formula is as follows:

[0039]

[0040] Wherein, CPK takes the above C PK1 and C PK2 In the formula above, USL represents the upper tolerance limit and LSL represents the lower tolerance limit. The smaller of the two values ​​indicates the relative tolerance values. This represents the average of the averages of the data in each of the multiple data sets. This represents the estimated standard deviation, where R represents the total duration and d represents the duration per unit.

[0041] Step S106: If the target production parameters exist, manufacture the tire of the target specification according to the target production parameters; and,

[0042] In the absence of the target production parameters, tires of the target specifications are manufactured according to preset production parameters.

[0043] In the technical solution provided in step S106, the aforementioned preset parameters include at least one of the following: crown rubber extruder speed, base rubber extruder speed, and wing rubber extruder speed. The step of manufacturing a tire of the target specification according to the preset production parameters includes: calculating the total rubber output per unit time based on the preset parameters; determining the target front weight per meter corresponding to the target specification and the target bead chamfer ratio corresponding to the target specification; calculating the target extrusion speed based on the total rubber output per unit time, the target front weight per meter, and the target bead chamfer ratio; and manufacturing a tire of the target specification based on the target extrusion speed and the preset production parameters.

[0044] Optionally, the above-described steps of manufacturing a tire of the target specification based on the extrusion speed and the preset production parameters include: determining a preset extrusion speed range; manufacturing a tire of the target specification based on the target extrusion speed and the preset production parameters when the target extrusion speed is within the preset extrusion speed range; and adjusting the preset production parameters until the target extrusion speed is within the preset extrusion speed range when the target extrusion speed is outside the preset extrusion speed range; and manufacturing a tire of the target specification based on the adjusted preset production parameters and the target extrusion speed.

[0045] Specifically, the target extrusion line speed can be calculated using the following formula based on preset production parameters:

[0046]

[0047] In the above formula, the target extrusion velocity is expressed in m / min, the total glue output per unit time is expressed in kg / h, and the weight per meter is expressed in kg / m. The total glue output per unit time can be calculated using the following formula:

[0048] Total amount of glue discharged per unit time = R1*T1 + R2*T2 + R3*T3

[0049] In the above formula, R1 is the extruder speed of the crown rubber machine, R2 is the extruder speed of the base rubber machine, R3 is the extruder speed of the wing rubber machine, T1 is the rubber output of the crown rubber machine, T2 is the rubber output of the base rubber machine, and T3 is the rubber output of the wing rubber machine.

[0050] In some embodiments of this application, R2 and R3 can be calculated from R1, as shown in the following formula:

[0051]

[0052]

[0053] In the above formula, S1 is the cross-sectional area of ​​the crown rubber, S2 is the cross-sectional area of ​​the base rubber, and S3 is the cross-sectional area of ​​the wing rubber.

[0054] In some embodiments of this application, the step of adjusting the preset production parameters until the target pressing line speed is within the preset pressing line speed range includes: reducing the preset production parameters according to a preset adjustment rule, and recalculating the target pressing line speed after reducing the preset production parameters; if the target pressing line speed is not within the preset pressing line speed range, reducing the preset production parameters again according to the preset adjustment rule until the target pressing line speed is within the preset pressing line speed range.

[0055] In some embodiments of this application, during the tire manufacturing process, such as Figure 2 and Figure 3 As shown, it can also display real-time production data of the current tire production process to the user. Specifically, it can display the weight per meter information to the user, which includes the actual weight per meter value changing over time, as well as the range of the set weight per meter value.

[0056] from Figure 2 and Figure 3 As can be seen, in addition to weight information, it can also display shift information, time information, construction standards, extruder speed and linear speed, screw speed, equipment temperature and other information to users in the current production process.

[0057] By determining the historical production data corresponding to the target specification, including the process performance index and production parameters when producing tires of the target specification within a preset time period; determining the target production parameters from the historical production data, wherein the target production parameters are the production parameters corresponding to the optimal process performance index within the preset time period; manufacturing tires of the target specification according to the target production parameters when they exist; and manufacturing tires of the target specification according to the preset production parameters when they do not exist, the goal of automating the determination of the production parameters corresponding to the target specification tire is achieved. This realizes the technical effect of eliminating the need for staff to manually set production parameters, thereby solving the technical problems of excessive workload and high error rate caused by staff determining production parameters based on experience in related technologies.

[0058] Example 2

[0059] This application provides a tire manufacturing apparatus. Figure 4 This is a structural schematic diagram of the tire manufacturing apparatus provided according to this embodiment. Figure 4 As shown, the device includes: a retrieval module 40, used to determine historical production data corresponding to the target specification, wherein the historical production data includes process performance index and production parameters when producing tires of the target specification within a preset time period; a calculation module 42, used to determine target production parameters from the historical production data, wherein the target production parameters are the production parameters corresponding to the optimal process performance index within the preset time period; and a processing module 44, used to manufacture tires of the target specification according to the target production parameters when the target production parameters exist; and to manufacture tires of the target specification according to preset production parameters when the target production parameters do not exist.

[0060] In some embodiments of this application, the preset parameters include at least one of the following: crown rubber extruder speed, base rubber extruder speed, and wing rubber extruder speed. The step of the processing module 44 manufacturing a tire of the target specification according to the preset production parameters includes: calculating the total rubber output per unit time based on the preset parameters; determining the target front weight per meter corresponding to the target specification and the target bead chamfer ratio corresponding to the target specification; calculating the target extrusion speed based on the total rubber output per unit time, the target front weight per meter, and the target bead chamfer ratio; and manufacturing a tire of the target specification based on the target extrusion speed and the preset production parameters.

[0061] In some embodiments of this application, the step of processing module 44 manufacturing a tire of the target specification based on the pressing speed and the preset production parameters includes: determining a preset pressing speed range; manufacturing a tire of the target specification based on the target pressing speed and the preset production parameters when the target pressing speed is within the preset pressing speed range; and adjusting the preset production parameters until the target pressing speed is within the preset pressing speed range when the target pressing speed is outside the preset pressing speed range; and manufacturing a tire of the target specification based on the adjusted preset production parameters and the target pressing speed.

[0062] In some embodiments of this application, the step of processing module 44 adjusting the preset production parameters until the target pressing line speed is within the preset pressing line speed range includes: reducing the preset production parameters according to preset adjustment rules, and recalculating the target pressing line speed after reducing the preset production parameters; if the target pressing line speed is not within the preset pressing line speed range, reducing the preset production parameters again according to the preset adjustment rules until the target pressing line speed is within the preset pressing line speed range.

[0063] It should be noted that the modules in the above-mentioned tire manufacturing apparatus can be program modules (e.g., a set of program instructions that implement a specific function) or hardware modules. For the latter, they can take the following forms, but are not limited to: each of the above modules is represented by a processor, or the functions of each of the above modules are implemented by a processor. Furthermore, the tire manufacturing apparatus provided in this embodiment can be used to execute the tire manufacturing method provided in Embodiment 1. Therefore, the relevant explanations and descriptions of the tire manufacturing method in Embodiment 1 also apply to the embodiments of this application, and will not be repeated here.

[0064] Example 3

[0065] This application provides a tire manufacturing system. Figure 5 This is a schematic diagram of the tire manufacturing system provided in this embodiment, as shown below. Figure 5 As shown, the manufacturing system includes: a host computer 50, a storage device 52, a server 54, and a production device 56. The host computer 50 is used to obtain historical production data corresponding to a target specification from the server 54. The historical production data includes process performance indices and production parameters when producing tires of the target specification within a preset time period. It then determines target production parameters from the historical production data, where the target production parameters are the production parameters corresponding to the optimal process performance index within the preset time period. If the target production parameters exist, it instructs the production device 56 to produce tires of the target specification based on the target production parameters. If the target production parameters do not exist, it instructs the production device 56 to produce tires of the target specification based on preset production parameters. The host computer 50 is also used to collect production data during the tire production process of the production device 56 and store the production data in the storage device 52. The server 54 is used to obtain the production data from the storage device 52 and calculate the process performance index corresponding to each tire production.

[0066] In some embodiments of this application, the actual workflow of the above-described tire manufacturing system is as follows: Figure 6 As shown, it includes the following steps:

[0067] Step S602: The host computer collects process data from the production equipment;

[0068] Step S604: The host computer stores the collected data into the storage device;

[0069] Step S606: The server retrieves process data from the storage device and calculates the process performance index corresponding to each production task.

[0070] Step S608: The server stores the calculated process performance parameters and corresponding production parameters in a table;

[0071] Step S610: The host computer obtains the production parameters corresponding to the optimal process performance parameters when producing tires of the target specification within a preset time period from the server.

[0072] Step S612: The host computer sends production parameters to the production equipment.

[0073] In some embodiments of this application, the host computer 50 can also be updated by any production equipment 56 in the production workshop.

[0074] In some embodiments of this application, the server 54 described above may be a local server or a cloud server running an MES system.

[0075] It should be noted that since the system provided in this application embodiment can be used to execute the tire manufacturing method provided in embodiment 1, the relevant explanations and descriptions of the tire manufacturing method in embodiment 1 and the tire manufacturing apparatus in embodiment 2 are also applicable to this application embodiment, and will not be repeated here.

[0076] Example 4

[0077] This application provides a non-volatile storage medium. The non-volatile storage medium includes a stored program, wherein, during program execution, the device containing the non-volatile storage medium executes the following tire manufacturing method: determining historical production data corresponding to a target specification, wherein the historical production data includes process performance indices and production parameters for producing tires of the target specification within a preset time period; determining target production parameters from the historical production data, wherein the target production parameters are the production parameters corresponding to the optimal process performance index within the preset time period; if the target production parameters exist, manufacturing tires of the target specification according to the target production parameters; and, if the target production parameters do not exist, manufacturing tires of the target specification according to preset production parameters.

[0078] This application provides an electronic device, which includes a memory and a processor. The processor is used to run a program stored in the memory, wherein the program executes the following tire manufacturing method: determining historical production data corresponding to a target specification, wherein the historical production data includes process performance index and production parameters when producing tires of the target specification within a preset time period; determining target production parameters from the historical production data, wherein the target production parameters are the production parameters corresponding to the optimal process performance index within the preset time period; if the target production parameters exist, manufacturing tires of the target specification according to the target production parameters; and if the target production parameters do not exist, manufacturing tires of the target specification according to preset production parameters.

[0079] The sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0080] In the above embodiments of this application, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0081] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For instance, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection between units or modules may be electrical or other forms.

[0082] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0083] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0084] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to related technologies, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0085] The above description is only a preferred embodiment of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A tire manufacturing method, characterized in that, include: Determine the historical production data corresponding to the target specification, wherein the historical production data includes the process performance index and production parameters when producing tires of the target specification within a preset time period; The target production parameter is determined from the historical production data, wherein the target production parameter is the production parameter corresponding to the optimal process performance index within the preset time period; Given the target production parameters, manufacture tires of the target specification according to the target production parameters; and, In the absence of the target production parameters, the tires of the target specifications are manufactured according to preset production parameters, wherein the preset parameters include at least one of the following: crown rubber extruder speed, base rubber extruder speed, and wing rubber extruder speed. Manufacturing tires of the target specifications according to preset production parameters includes: The total amount of glue extruded per unit time is calculated based on the preset parameters; Determine the target front weight per meter corresponding to the target specification, and the target mouth opening ratio corresponding to the target specification; The target extrusion speed is calculated based on the total amount of glue extruded per unit time, the target weight per meter, and the target mouth opening ratio. The tires of the target specifications are manufactured according to the target extrusion speed and the preset production parameters.

2. The tire manufacturing method according to claim 1, characterized in that, The step of manufacturing the tire of the target specification according to the extrusion line speed and the preset production parameters includes: Determine the preset range of extrusion line speed; When the target extrusion speed is within the range of the preset extrusion speed, a tire of the target specification is manufactured according to the target extrusion speed and the preset production parameters; and, If the target extrusion speed is outside the preset extrusion speed range, adjust the preset production parameters until the target extrusion speed is within the preset extrusion speed range. The target specification tire is manufactured according to the adjusted preset production parameters and the target extrusion line speed.

3. The tire manufacturing method according to claim 2, characterized in that, The step of adjusting the preset production parameters until the target extrusion line speed is within the range of the preset extrusion line speed includes: According to the preset adjustment rules, the preset production parameters are reduced, and after reducing the preset production parameters, the target pressing line speed is calculated again; If the target extrusion speed is not within the range of the preset extrusion speed, the preset production parameters are reduced again according to the preset adjustment rules until the target extrusion speed is within the range of the preset extrusion speed.

4. The tire manufacturing method according to claim 1, characterized in that, The historical production data is data collected during the tire manufacturing process, and the historical production data also includes identification information corresponding to each production process.

5. The tire manufacturing method according to claim 1, characterized in that, The tire manufacturing method further includes: During the production of tires of the target specifications, weight-in-meter information is displayed, including the actual weight-in-meter value changing over time and the range of set weight-in-meter values.

6. The tire manufacturing method according to claim 1, characterized in that, The production parameters include at least one of the following: extrusion line speed, crown rubber extruder speed, base rubber extruder speed, and wing rubber extruder speed.

7. A tire manufacturing apparatus, characterized in that, include: The retrieval module is used to determine the historical production data corresponding to the target specification, wherein the historical production data includes the process performance index and production parameters when producing tires of the target specification within a preset time period; The calculation module is used to determine the target production parameter from the historical production data, wherein the target production parameter is the production parameter corresponding to the optimal process performance index within the preset time period; A processing module is configured to manufacture a tire of the target specification according to the target production parameters when the target production parameters exist; and to manufacture a tire of the target specification according to preset production parameters when the target production parameters do not exist, wherein the preset parameters include at least one of the following: crown rubber extruder speed, base rubber extruder speed, and wing rubber extruder speed. The processing module is further configured to calculate the total amount of adhesive extruded per unit time based on the preset parameters; determine the target front weight per meter corresponding to the target specification and the target die opening ratio corresponding to the target specification; calculate the target extrusion speed based on the total amount of adhesive extruded per unit time, the target front weight per meter, and the target die opening ratio; and manufacture the tire of the target specification based on the target extrusion speed and the preset production parameters.

8. A tire manufacturing system, characterized in that, This includes host computers, storage devices, servers, and production equipment, among which... The host computer is configured to obtain historical production data corresponding to the target specification from the server, wherein the historical production data includes process performance index and production parameters when producing tires of the target specification within a preset time period; determine target production parameters from the historical production data, wherein the target production parameters are the production parameters corresponding to the optimal process performance index within the preset time period; if the target production parameters exist, instruct the production equipment to produce tires of the target specification according to the target production parameters; and if the target production parameters do not exist, instruct the production equipment to produce tires of the target specification according to preset production parameters, wherein the preset parameters include at least one of the following: crown rubber extruder speed, base rubber extruder speed, and wing rubber extruder speed; The host computer is also used to collect production data during the tire production process of the production equipment and store the production data in the storage device; The server is used to retrieve the production data from the storage device and calculate the process performance index corresponding to each tire production. The host computer is also used to calculate the total amount of glue discharged per unit time based on the preset parameters; determine the target weight per meter corresponding to the target specification and the target die opening ratio corresponding to the target specification; calculate the target extrusion speed based on the total amount of glue discharged per unit time, the target weight per meter, and the target die opening ratio; and manufacture the tire of the target specification based on the target extrusion speed and the preset production parameters.

9. A non-volatile storage medium, characterized in that, The non-volatile storage medium stores a program, wherein when the program is executed, it controls the device containing the non-volatile storage medium to perform the tire manufacturing method according to any one of claims 1 to 6.

10. An electronic device, characterized in that, include: A memory and a processor, the processor being configured to run a program stored in the memory, wherein the program, when executed, performs the tire manufacturing method according to any one of claims 1 to 6.

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