Optimization method of tire rubber production design process

Abstract

The invention relates to the technical field of tire production, in particular to an optimization method of a tire rubber production design process. The method comprises the following steps: applying a constant tension value to a conveyed cord thread through a pretension control system before the cord thread is glued and calendered; cord thread image data are collected in real time through a visual sensor or laser positioning equipment, and the real-time position and the real-time angle of the cord thread are determined according to the cord thread image data; real-time tension data fed back by the pretension control system is obtained, and a real-time control instruction used for correcting cord thread skew is determined according to the real-time tension data, the real-time position and the real-time angle; and dynamically adjusting the operation parameters of the tire building machine according to the real-time control instruction. Inaccuracy of a single data source is avoided, excessive adjustment or insufficient correction is reduced, control precision is improved, and nonuniformity in production is minimized. It is ensured that cord thread alignment is maintained in the forming process, displacement and the rejection rate are reduced, production efficiency and consistency are improved, and meanwhile development of high-performance tires is supported.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of tire production, in particular to a method for optimizing a tire rubber production design process. BACKGROUND

[0002] Tires are key components of automobiles, and their performance directly affects driving safety, comfort, and durability. In the tire manufacturing process, the rubber production design process is particularly critical, especially during the tire forming stage, which involves the laying, coating, and calendering of cords. Cords, as the skeletal structure of tires, directly determine the strength uniformity, fatigue resistance, and overall stability of the tire. If the cords are skewed during the forming process (i.e., the cords are not aligned), it will cause local stress concentration in the tire, leading to uneven strength, reduced durability, increased driving vibration, and even safety hazards.

[0003] Currently, the existing technology usually uses a pre-tension control system to manage the tension during cord conveying, however, the pre-tension control system often relies on static parameter settings, resulting in inaccurate tension control and easy cord slippage or skewing due to external factors. In addition, current detection and correction of cord skewing is delayed due to offline or intermittent inspection. SUMMARY

[0004] The present application provides a method for optimizing a tire rubber production design process to solve the above problems.

[0005] In a first aspect, the present application provides a method for optimizing a tire rubber production design process, comprising:

[0006] Before cord coating and calendering, a constant tension value is applied to the conveying cord by a pre-tension control system;

[0007] Real-time image data of the cord is collected by a vision sensor or a laser positioning device, and the real-time position and real-time angle of the cord are determined based on the cord image data;

[0008] Real-time tension data fed back by the pre-tension control system is obtained, and a real-time control instruction for correcting cord skewing is determined based on the real-time tension data, the real-time position, and the real-time angle;

[0009] The operating parameters of the tire forming machine are dynamically adjusted according to the real-time control instruction.

[0010] This solution applies a constant tension value to the conveyed cords via a pretension control system before adhesive coating and calendering. This avoids tension fluctuations caused by external factors, improves the stability of cord conveying, lays the foundation for adhesive coating and calendering, and indirectly improves the uniformity of tire strength and overall quality. Real-time cord image data is acquired using vision sensors or laser positioning equipment. Based on this data, the real-time position and angle of the cords are determined, eliminating delays from intermittent inspections and providing continuous feedback. This allows for immediate identification of deviations, providing accurate input for generating correction commands and enhancing the immediate responsiveness of the production process. Real-time tension data from the pretension control system is obtained. Based on this data, along with the real-time position and angle, real-time control commands are determined to correct cord misalignment. This ensures commands are based on multi-dimensional data, avoiding inaccuracies from a single data source and reducing over-adjustment or under-correction, thus improving control accuracy and minimizing production unevenness. Based on the real-time control commands, the operating parameters of the tire forming machine are dynamically adjusted to ensure cord alignment is maintained during the forming process, reducing displacement and scrap rates, improving production efficiency and consistency, and supporting the development of high-performance tires.

[0011] Optionally, applying a constant tension to the conveyed cord via a pretension control system includes:

[0012] Obtain cord information and determine cord type;

[0013] Retrieve the preset parameter library and determine the target tension range based on the cord type;

[0014] Select a constant tension value based on the target tension range;

[0015] A constant tension value is applied to the conveying cord through a pretension control system.

[0016] This solution acquires cord information and determines cord type, avoiding incorrect parameter application due to cord type mismatch and reducing human error, ensuring configuration based on the correct cord type from the outset. It retrieves a preset parameter library and determines the target tension range based on cord type, reducing real-time calculation overhead, improving response speed, enhancing consistency, and preventing arbitrary tension settings or deviations from safety limits. This minimizes the risk of cord slippage or skewing during transport due to improper tension. Based on the target tension range, a constant tension value is selected to ensure repeatability and predictability, facilitating precise control and optimizing tension application. This prevents excessive tension from causing cord breakage or insufficient tension from causing slack, providing a clear target value for application. The pre-tension control system applies a constant tension value to the cord during transport, achieving real-time tension stability, reducing tension fluctuations caused by external interference, preventing skewing, improving production efficiency, enhancing quality consistency during tire forming, and reducing scrap rates.

[0017] Optionally, selecting a constant tension value based on the target tension range includes:

[0018] Acquire historical production data, real-time environmental data, and experimental design matrix; the real-time environmental data includes ambient temperature.

[0019] Based on the experimental design matrix and the ambient temperature, determine the tension response model;

[0020] The historical production data and the type of cord are input into the tension response model to obtain a constant tension value.

[0021] This solution acquires historical production data, real-time environmental data, and experimental design matrices to enhance data-driven decision-making capabilities. The selection of a constant tension value no longer relies on static parameters but is based on historical data and real-time conditions, thereby improving adaptability and accuracy. Based on the experimental design matrix and ambient temperature, a tension response model is determined to achieve adaptive tension control, reducing the risk of cord skewing caused by environmental fluctuations and improving response speed. Inputting historical production data and cord type into the tension response model yields a constant tension value, reducing the incidence of skewing and improving production quality and efficiency.

[0022] Optionally, the real-time environmental data also includes ambient lighting conditions, and determining the real-time position and angle of the curtain based on the curtain image data includes:

[0023] Obtain the pre-inputted tire bead centerline data within the pretension control system;

[0024] Based on the ambient lighting conditions, edge detection is performed on the curtain wire image data to identify the curtain wire edges;

[0025] Based on the identified cord edge and the center line data of the tire bead, the real-time position and angle of the cord are calculated.

[0026] This solution acquires pre-inputted bead centerline data within the pretension control system, eliminating reliance on manual input or real-time measurement delays in bead centerline measurement, improving processing efficiency, and ensuring calculation consistency. This reduces misjudgments of cord misalignment caused by reference errors. Based on ambient lighting conditions, edge detection is performed on the cord image data to identify cord edges, improving the robustness and accuracy of edge detection. This allows for reliable extraction of cord features under various lighting conditions and reduces detection errors caused by poor image quality. Based on the identified cord edges and bead centerline data, the real-time position and angle of the cords are calculated, enabling rapid response and correction during tire forming, improving production consistency and quality, and reducing scrap rates.

[0027] Optionally, determining the real-time control command for correcting the cord skew based on the real-time tension data, the real-time position, and the real-time angle includes:

[0028] Calculate the positional deviation between the real-time position and the bead centerline data, and the angular deviation between the real-time angle and the preset standard angle;

[0029] Compare the positional deviation with the positional deviation threshold, and the angle deviation with the angle deviation threshold;

[0030] Based on the comparison results, a command is generated to trigger the molding machine to pause and start the correction mechanism.

[0031] This solution calculates the positional deviation between the real-time position and the bead centerline data, as well as the angular deviation between the real-time angle and the preset standard angle, capturing overall offset trends or local extreme deviations to comprehensively reflect the degree of positional misalignment. Simultaneously, it identifies whether the tire cords have rotated or tilted, supplementing the positional deviation data and ensuring a comprehensive diagnosis of misalignment, providing angular input for generating control commands. By comparing positional deviation with positional deviation thresholds and angular deviation with angular deviation thresholds, the responsiveness of real-time monitoring is ensured, avoiding delays caused by manual intervention and providing clear triggering conditions for command generation. Based on the comparison results, commands are generated to trigger the molding machine to pause and initiate the correction mechanism, ensuring immediate interruption of the production process and the start of correction, thereby reducing scrap rates, improving production consistency and efficiency, and ultimately supporting the determination and execution of real-time control commands.

[0032] Optionally, after the cord is laid, the following may also be included:

[0033] The entire formed cord layer is scanned using a line scan camera to generate an overall image of the cord layer.

[0034] The overall image is analyzed to calculate the average positional deviation and average angular deviation of the entire cord.

[0035] The uniformity index is determined based on the average positional deviation and the average angular deviation.

[0036] The uniformity index is fed back to the pretension control system for online self-correction and optimization of system parameters.

[0037] This solution utilizes a line-scan camera to scan the entire formed cord layer, generating a comprehensive image of the fabric layer. This avoids cumulative errors caused by delays, improving the real-time performance and reliability of monitoring. Analysis of the overall image calculates the average positional and angular deviations of the entire cord layer, addressing the lack of precise data fusion and thus improving detection accuracy and consistency. Based on the average positional and angular deviations, a uniformity index is determined, enhancing data processing efficiency, supporting immediate identification of problem areas, and reducing the need for manual intervention. The uniformity index is fed back to the pretension control system for online self-calibration and optimization of system parameters, addressing deficiencies in static parameter settings, reducing scrap rates, and supporting the stable manufacturing of high-performance tires.

[0038] Optionally, after dynamically adjusting the operating parameters of the tire forming machine, the method further includes:

[0039] Reacquire the adjusted image data of the curtain cord to verify whether the position and angle of the curtain cord have been corrected to within the allowable error range;

[0040] If the deviation is not corrected, a secondary corrective action strategy is initiated, which includes issuing an alarm, recording deviation data, or notifying the production management system.

[0041] This solution involves re-collecting and adjusting the cord image data to verify whether the cord position and angle have been corrected to within the allowable error range. It identifies any remaining cord misalignment issues, providing a clear basis for triggering the secondary correction strategy. This avoids quality risks caused by misjudgment, ensures zero-delay detection, supports rapid response, and improves the continuity and efficiency of the production process. If the misalignment is not corrected, the secondary correction strategy is activated to ensure timely identification and handling of the cord misalignment issue, thereby enhancing the quality consistency of tire production, reducing scrap rates, and improving operational efficiency.

[0042] Optionally, the dynamic adjustment of the operating parameters of the tire forming machine includes at least one of: adjusting the rotational speed of the guide roller, adjusting the lateral displacement of the guide, or adjusting the spacing of the calendering roller.

[0043] This solution addresses deficiencies in static parameter settings by adjusting at least one of the following: the rotational speed of the guide roller, the lateral displacement of the guide, or the spacing of the calendering roller. This avoids post-processing corrections, thereby improving production efficiency and consistency. It also prevents over-correction or the introduction of new inhomogeneities, ensuring that the cords remain stably aligned before coating and calendering, thus improving overall production quality. Alternatively, it can enhance tire fatigue resistance and overall stability while reducing production interruptions and increasing efficiency.

[0044] Optionally, the position deviation threshold is ±0.3mm; the angle deviation threshold is ±0.5°.

[0045] With this solution, the position deviation threshold is ±0.3mm and the angle deviation threshold is ±0.5mm, achieving adaptive control. Adjustment is triggered only when the deviation exceeds the limit, avoiding the static parameter or over-adjustment problems described, and ensuring a fast and targeted response. This reduces unnecessary intervention, maintains the stability and efficiency of the production process, and prevents the deterioration of cord skew caused by delayed correction.

[0046] Secondly, this application provides an optimization system for tire rubber production design process, the system comprising:

[0047] The tension control module is used to apply a constant tension value to the conveyed cord through a pre-tension control system before the cord is coated with adhesive and calendered.

[0048] The data analysis module is used to collect real-time image data of the curtain cord through a visual sensor or laser positioning device, and determine the real-time position and angle of the curtain cord based on the image data.

[0049] The instruction generation module is used to acquire real-time tension data fed back by the pretension control system, and determine real-time control instructions for correcting the skew of the curtain wire based on the real-time tension data, the real-time position and the real-time angle.

[0050] The parameter adjustment module is used to dynamically adjust the operating parameters of the tire forming machine according to the real-time control commands.

[0051] Optionally, when the tension control module applies a constant tension to the conveyed cord through the pre-tension control system, it is used for:

[0052] Obtain cord information and determine cord type;

[0053] Retrieve the preset parameter library and determine the target tension range based on the cord type;

[0054] Select a constant tension value based on the target tension range;

[0055] A constant tension value is applied to the conveying cord through a pretension control system.

[0056] Optionally, when the tension control module selects a constant tension value based on the target tension range, it is used to:

[0057] Acquire historical production data, real-time environmental data, and experimental design matrix; the real-time environmental data includes ambient temperature.

[0058] Based on the experimental design matrix and the ambient temperature, determine the tension response model;

[0059] The historical production data and the type of cord are input into the tension response model to obtain a constant tension value.

[0060] Optionally, the real-time environmental data also includes ambient lighting conditions. When the data analysis module determines the real-time position and angle of the curtain based on the curtain image data, it is used for:

[0061] Obtain the pre-inputted tire bead centerline data within the pretension control system;

[0062] Based on the ambient lighting conditions, edge detection is performed on the curtain wire image data to identify the curtain wire edges;

[0063] Based on the identified cord edge and the center line data of the tire bead, the real-time position and angle of the cord are calculated.

[0064] Optionally, when the instruction generation module determines the real-time control instruction for correcting the cord misalignment based on the real-time tension data, the real-time position, and the real-time angle, it is used to:

[0065] Calculate the positional deviation between the real-time position and the bead centerline data, and the angular deviation between the real-time angle and the preset standard angle;

[0066] Compare the positional deviation with the positional deviation threshold, and the angle deviation with the angle deviation threshold;

[0067] Based on the comparison results, a command is generated to trigger the molding machine to pause and start the correction mechanism.

[0068] Optionally, the tire rubber production design process optimization system further includes a parameter optimization module, used for:

[0069] The entire formed cord layer is scanned using a line scan camera to generate an overall image of the cord layer.

[0070] The overall image is analyzed to calculate the average positional deviation and average angular deviation of the entire cord.

[0071] The uniformity index is determined based on the average positional deviation and the average angular deviation.

[0072] The uniformity index is fed back to the pretension control system for online self-correction and optimization of system parameters.

[0073] Optionally, the optimization system for tire rubber production design process of the method further includes a strategy initiation module, used for:

[0074] Reacquire the adjusted image data of the curtain cord to verify whether the position and angle of the curtain cord have been corrected to within the allowable error range;

[0075] If the deviation is not corrected, a secondary corrective action strategy is initiated, which includes issuing an alarm, recording deviation data, or notifying the production management system.

[0076] Optionally, the dynamic adjustment of the operating parameters of the tire forming machine includes at least one of: adjusting the rotational speed of the guide roller, adjusting the lateral displacement of the guide, or adjusting the spacing of the calendering roller.

[0077] Optionally, the position deviation threshold is ±0.3mm; the angle deviation threshold is ±0.5°. Attached Figure Description

[0078] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0079] Figure 1 A flowchart illustrating an optimization method for tire rubber production design process according to an embodiment of this application;

[0080] Figure 2 This is a schematic diagram of an optimized system structure for tire rubber production design process, provided as an embodiment of this application. Detailed Implementation

[0081] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0082] Furthermore, the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article, unless otherwise specified, generally indicates that the preceding and following related objects have an "or" relationship.

[0083] The embodiments of this application will now be described in further detail with reference to the accompanying drawings.

[0084] Existing technologies typically employ pretension control systems to manage the tension during cord transport. However, these systems often rely on static parameter settings, resulting in imprecise tension control and susceptibility to cord slippage or misalignment due to external factors. Furthermore, current methods rely solely on offline or intermittent inspections, leading to delays in detecting and correcting cord misalignment.

[0085] Based on this, this application provides an optimization method for tire rubber production design process. Before cord coating and calendering, a pre-tension control system applies a constant tension value to the conveyed cords to avoid tension fluctuations caused by external factors, improve the stability of cord conveying, lay the foundation for the coating and calendering stages, and indirectly improve the strength uniformity and overall quality of the tire. Cord image data is acquired in real time using a vision sensor or laser positioning device. Based on the cord image data, the real-time position and angle of the cords are determined, eliminating the delay of intermittent inspections, providing continuous feedback, and thus immediately identifying deviations. This provides accurate input for generating correction commands and enhances the immediate responsiveness of the production process. Real-time tension data from the pre-tension control system is obtained. Based on the real-time tension data, real-time position, and real-time angle, real-time control commands for correcting cord misalignment are determined, ensuring that the commands are based on multi-dimensional data, avoiding inaccuracies from a single data source, reducing over-adjustment or under-correction, improving control accuracy, and minimizing non-uniformity in production. Based on real-time control commands, the operating parameters of the tire forming machine are dynamically adjusted to ensure that the cord alignment is maintained during the forming process, reduce displacement and scrap rate, improve production efficiency and consistency, and support the development of high-performance tires.

[0086] For specific implementation details, please refer to the following examples.

[0087] Figure 1 This is a flowchart illustrating an optimization method for tire rubber production design in one embodiment of this application. The method of this embodiment can be applied to any server. Figure 1 As shown, the method includes:

[0088] S101. Before the cord is coated with adhesive and calendered, a constant tension value is applied to the cord being conveyed by a pretension control system.

[0089] Cords can be used as a skeleton structure in tire manufacturing.

[0090] Applying adhesive can be a process of applying a rubber compound to the surface of the cords during the tire forming stage.

[0091] Calendering can be a process in tire manufacturing where rubber-coated cords are mechanically calendered using rolling equipment.

[0092] The pretension control system can be an integrated system for applying and maintaining constant tension during cord transport, including force sensors and servo tension rollers controlled by frequency converters.

[0093] A constant tension value can be a fixed or preset tension value applied to the cord by a pretension control system, which aims to maintain the stability and alignment of the cord during transportation and prevent the cord from skewing.

[0094] Specifically, the pretension control system is activated, and the tension value of the cord is monitored in real time by a force sensor installed on the tension roller. The tension value is then converted into a digital tension value (used for real-time comparison in the pretension control system) and compared with a preset constant tension value set according to industry standards (used to determine whether the digital tension value deviates). If the digital tension value deviates from the preset constant tension value, the frequency converter driver adjusts the speed of the servo motor to control the rotation speed of the tension roller to increase or decrease the constant tension value of the cord. For example, when the digital tension value is lower than the preset constant tension value, the driver increases the roller speed to apply greater tension; conversely, it decelerates to reduce the tension.

[0095] S102. Collect real-time image data of the curtain cord using a visual sensor or laser positioning device, and determine the real-time position and angle of the curtain cord based on the image data.

[0096] A vision sensor can be an image acquisition device used to capture image data of the curtain in real time.

[0097] Laser positioning equipment can be a monitoring device based on laser technology used to collect real-time image data or location information of curtains.

[0098] The curtain image data can be curtain image information collected by a visual sensor or laser positioning device.

[0099] The real-time position can be the instantaneous offset between the cord centerline and the bead centerline.

[0100] The real-time angle can be the angle between the center line of the cord and the reference line.

[0101] Specifically, visual sensors or laser positioning devices installed above or to the side of the cord conveying path are used to collect cord image data in real time at a fixed frequency.

[0102] The acquired cord image data is preprocessed (e.g., denoising and grayscale conversion); then, the centerline position of the cord in the cord image data (coordinate position of the cord centerline) is identified through feature extraction algorithms; then, using the bead centerline (ideal centerline of the tire bead area) set according to tire design specifications as a reference, the real-time position of the cord is determined in combination with the centerline position; at the same time, the angle between the cord centerline and the reference line (e.g., the delivery direction) is calculated to determine the real-time angle of the cord.

[0103] S103. Obtain the real-time tension data fed back by the pretension control system, and determine the real-time control command for correcting the skew of the cord based on the real-time tension data, real-time position and real-time angle.

[0104] Real-time tension data can be the current tension value, which represents the actual tension state of the cord during transport, fed back from the pretension control system.

[0105] Cord misalignment can be a state of uneven arrangement of cords during the conveying or forming process.

[0106] Real-time control commands can be used to correct curtain skew.

[0107] Specifically, the system receives real-time tension data from the pretension control system; it determines the state information of the cord tension (such as stable, large fluctuations, or abnormal decrease) based on the real-time tension data; it determines the geometric information of the cord arrangement (such as positional deviation and angular deviation) based on the real-time position and angle; and it assesses the degree of cord skew (such as large tension fluctuations) based on the state information and geometric information, and generates real-time control commands to correct the cord skew.

[0108] S104. Dynamically adjust the operating parameters of the tire forming machine according to real-time control commands.

[0109] Tire forming machines are equipment used in tire manufacturing to complete operations such as cord laying, adhesive application, calendering, and forming.

[0110] The operating parameters can be adjustable settings for the tire forming machine.

[0111] Specifically, real-time control commands are sent to the control unit of the tire forming machine via a communication interface. The real-time control commands are parsed, and the control unit is driven to dynamically adjust the operating parameters of the tire forming machine. For example, when a real-time control command requires tension adjustment, the control unit adjusts the frequency converter driver to change the output of the tension roller; when a real-time control command requires real-time position adjustment, the guide roller is moved by a servo motor to correct the cord path.

[0112] This solution applies a constant tension value to the conveyed cords via a pretension control system before adhesive coating and calendering. This avoids tension fluctuations caused by external factors, improves the stability of cord conveying, lays the foundation for adhesive coating and calendering, and indirectly improves the uniformity of tire strength and overall quality. Real-time cord image data is acquired using vision sensors or laser positioning equipment. Based on this data, the real-time position and angle of the cords are determined, eliminating delays from intermittent inspections and providing continuous feedback. This allows for immediate identification of deviations, providing accurate input for generating correction commands and enhancing the immediate responsiveness of the production process. Real-time tension data from the pretension control system is obtained. Based on this data, along with the real-time position and angle, real-time control commands are determined to correct cord misalignment. This ensures commands are based on multi-dimensional data, avoiding inaccuracies from a single data source and reducing over-adjustment or under-correction, thus improving control accuracy and minimizing production unevenness. Based on the real-time control commands, the operating parameters of the tire forming machine are dynamically adjusted to ensure cord alignment is maintained during the forming process, reducing displacement and scrap rates, improving production efficiency and consistency, and supporting the development of high-performance tires.

[0113] In some embodiments, cord information is acquired to determine the cord type; a preset parameter library is retrieved, and a tension target range is determined based on the cord type; a constant tension value is selected based on the tension target range; and a constant tension value is applied to the cord being conveyed through a pre-tension control system.

[0114] Cord information can be data about the cords obtained through RFID readers during the tire manufacturing process, including material codes, specifications, production batches, and other information.

[0115] Cord type can be a specific classification of cords.

[0116] The preset parameter library can be a pre-configured parameter library that stores the tension target range corresponding to different cord types. It is stored in the server and called when needed.

[0117] The target tension range can be a range of tension values ​​selected based on the cord type.

[0118] Specifically, the process involves acquiring cord information via an RFID reader, parsing the information, and matching it against predefined classification rules set according to industry standards (used to determine the cord type from the cord information) to identify the cord type (e.g., steel cord, fiber cord). Using the cord type as the key, the system queries a predefined parameter library established according to industry standards (which stores the tension target ranges corresponding to different cord types) to retrieve the corresponding tension target range.

[0119] Based on the target tension range, a constant tension value is selected using simple rules set by the optimization algorithm (used to select a constant tension value from the target tension range, such as selecting the median or average value of the range). This constant tension value is set as the control target and sent to the pretension control system. Then, a force sensor monitors the tension value of the cord in real time and feeds the data back to the PID controller. The PID controller adjusts the output of the frequency converter driver to drive the servo motor to rotate the tension roller, maintaining the tension at a constant value.

[0120] This solution acquires cord information and determines cord type, avoiding incorrect parameter application due to cord type mismatch and reducing human error, ensuring configuration based on the correct cord type from the outset. It retrieves a preset parameter library and determines the target tension range based on cord type, reducing real-time calculation overhead, improving response speed, enhancing consistency, and preventing arbitrary tension settings or deviations from safety limits. This minimizes the risk of cord slippage or skewing during transport due to improper tension. Based on the target tension range, a constant tension value is selected to ensure repeatability and predictability, facilitating precise control and optimizing tension application. This prevents excessive tension from causing cord breakage or insufficient tension from causing slack, providing a clear target value for application. The pre-tension control system applies a constant tension value to the cord during transport, achieving real-time tension stability, reducing tension fluctuations caused by external interference, preventing skewing, improving production efficiency, enhancing quality consistency during tire forming, and reducing scrap rates.

[0121] In some embodiments, historical production data, real-time environmental data, and experimental design matrix are acquired; real-time environmental data includes ambient temperature; a tension response model is determined based on the experimental design matrix and ambient temperature; historical production data and cord type are input into the tension response model to obtain a constant tension value.

[0122] Historical production data can be a collection of data recorded and stored during tire production operations over a past period of time. This past period can be retrieved based on experience or defined manually.

[0123] Real-time environmental data can be production environment parameters collected in real time, including data such as ambient temperature and ambient lighting conditions.

[0124] The experimental design matrix can be a pre-built parameter table or data structure.

[0125] Ambient temperature can be the air or machine temperature value in the production site that directly affects the physical properties of the cord and the behavior of the equipment.

[0126] Tension response models can be mathematical models used to describe the mapping relationship between historical production data, cord type, and constant tension value.

[0127] Specifically, historical production data is obtained from the production database (which stores historical production data) established based on the data acquisition system; real-time environmental data (including ambient temperature) is collected through temperature sensors installed in the production environment; and the experimental design matrix is ​​loaded from the preset parameter library (which stores the experimental design matrix) established based on industry standards, in which multiple levels of different controllable factors (such as ambient temperature) are arranged.

[0128] The ambient temperature from real-time environmental data is used as an input variable and mapped to the corresponding factor level (the level of the factor variable (such as ambient temperature)) in the experimental design matrix; based on the factor level, a tension response model is generated through a model fitting algorithm.

[0129] Historical production data is filtered and preprocessed, retaining only records related to the cord type; then the filtered and preprocessed historical production data and cord type are input into the tension response model (different cord types may correspond to different model coefficients) to obtain a constant tension value.

[0130] This solution acquires historical production data, real-time environmental data, and experimental design matrices to enhance data-driven decision-making capabilities. The selection of a constant tension value no longer relies on static parameters but is based on historical data and real-time conditions, thereby improving adaptability and accuracy. Based on the experimental design matrix and ambient temperature, a tension response model is determined to achieve adaptive tension control, reducing the risk of cord skewing caused by environmental fluctuations and improving response speed. Inputting historical production data and cord type into the tension response model yields a constant tension value, reducing the incidence of skewing and improving production quality and efficiency.

[0131] In some embodiments, the bead centerline data pre-input into the pretension control system is acquired; based on ambient lighting conditions, edge detection is performed on the cord image data to identify the cord edges; and the real-time position and angle of the cord are calculated based on the identified cord edges and bead centerline data.

[0132] Tire bead centerline data can be geometric reference data representing the ideal center position and orientation of the tire bead.

[0133] Ambient lighting conditions can refer to the real-time lighting conditions of the scene being captured when acquiring curtain image data.

[0134] The edge of a cord can be a set of pixels representing the physical boundary contour of the cord.

[0135] Specifically, the system retrieves the pre-inputted bead centerline data from a predefined parameter table (which stores bead centerline data) established based on tire design specifications. The processing parameters of the cord image data are dynamically adjusted based on real-time ambient lighting conditions. For example, when light intensity is low, image contrast is increased to enhance visibility; when light intensity is high, exposure compensation is reduced to prevent overexposure.

[0136] Gaussian filtering is applied to the adjusted curtain image data to reduce noise. Then, a convolution kernel is applied to the Gaussian-filtered curtain image data using a gradient operator (such as the Sobel operator) to calculate the intensity change rate (spatial change rate of pixel intensity (or brightness)) of each pixel. The convolution kernel slides across the curtain image data to determine the gradient magnitude and direction (gradient magnitude represents the intensity of change, and direction represents the orientation of the fastest change). Non-maximum suppression is then applied to refine the edges. Finally, the curtain edges are identified through dual thresholding (high threshold (to identify strong edge pixels) and low threshold (to identify weak edge pixels)).

[0137] Spatially align the cord edge with the bead centerline data; then calculate the vertical distance from the cord edge to the bead centerline data (represented as a straight line or curve); then take the average or maximum value of all distances as the real-time position deviation, i.e., the real-time position of the cord.

[0138] Linear regression is used to fit the cord edge to obtain the cord direction vector (the overall orientation or trend of the cord edge; if the cord is straight, the direction vector is along its length; if it is slightly curved, it is fitted to the average direction). Then, the angle between the direction vector and the bead centerline direction data is calculated as the real-time angle deviation, i.e., the real-time angle of the cord.

[0139] This solution acquires pre-inputted bead centerline data within the pretension control system, eliminating reliance on manual input or real-time measurement delays in bead centerline measurement, improving processing efficiency, and ensuring calculation consistency. This reduces misjudgments of cord misalignment caused by reference errors. Based on ambient lighting conditions, edge detection is performed on the cord image data to identify cord edges, improving the robustness and accuracy of edge detection. This allows for reliable extraction of cord features under various lighting conditions and reduces detection errors caused by poor image quality. Based on the identified cord edges and bead centerline data, the real-time position and angle of the cords are calculated, enabling rapid response and correction during tire forming, improving production consistency and quality, and reducing scrap rates.

[0140] In some embodiments, the positional deviation between the real-time position and the bead centerline data, and the angular deviation between the real-time angle and the preset standard angle are calculated; the positional deviation is compared with the positional deviation threshold, and the angular deviation is compared with the angular deviation threshold; based on the comparison results, an instruction is generated to trigger the molding machine to pause and start the correction mechanism.

[0141] Positional deviation can be the spatial offset between the real-time position of the cords and the centerline data of the tire bead during the tire forming process.

[0142] The preset standard angle can be a predefined angle value that represents the ideal direction angle that the curtain should have. It is stored in the server in advance and called when needed.

[0143] Angle deviation can be the difference between the real-time angle of the cord and the preset standard angle during the tire forming process.

[0144] The position deviation threshold can be a preset tolerance limit used to determine whether the position deviation is acceptable. It is stored in the server in advance and called when needed.

[0145] The angle deviation threshold can be a preset tolerance limit used to determine whether the angle deviation is acceptable. It is stored in the server in advance and called when needed.

[0146] The correction mechanism can be a correction subroutine used to adjust the position or direction of the cord to eliminate skew.

[0147] Specifically, for the cord edge, the vertical distance from the cord edge to the bead centerline data (i.e., the normal distance from a point to a straight line or curve) is calculated. For the centerline of a straight line, the point-to-line distance formula is used; for the centerline of a curve, an iterative method is used to find the nearest point and then calculate the distance. Then, all distance values ​​are aggregated, and the average or maximum value is taken as the positional deviation.

[0148] The direction vector is obtained by fitting the edge of the cord using a linear regression algorithm (such as the least squares method). Then, the angle between the direction vector and the preset standard angle set according to the engineering design (used to calculate the angle between the real-time angle and the angle deviation) is calculated, which is the angle deviation.

[0149] Retrieve predefined position deviation thresholds (used for comparison with position deviation to determine if position deviation is acceptable) and angle deviation thresholds (used for comparison with angle deviation to determine if angle deviation is acceptable) from a predefined parameter table (stores position deviation thresholds and angle deviation thresholds required for operation) constructed according to industry standards; compare the position deviation with the position deviation thresholds (e.g., check if the position deviation is greater than the position deviation threshold); at the same time, compare the angle deviation with the angle deviation thresholds (e.g., check if the angle deviation is greater than the angle deviation threshold).

[0150] Based on the comparison results, when the position deviation exceeds the position deviation threshold or the angle deviation exceeds the angle deviation threshold (i.e., either condition is met), an instruction is generated to trigger the molding machine to pause and start the correction mechanism.

[0151] This solution calculates the positional deviation between the real-time position and the bead centerline data, as well as the angular deviation between the real-time angle and the preset standard angle, capturing overall offset trends or local extreme deviations to comprehensively reflect the degree of positional misalignment. Simultaneously, it identifies whether the tire cords have rotated or tilted, supplementing the positional deviation data and ensuring a comprehensive diagnosis of misalignment, providing angular input for generating control commands. By comparing positional deviation with positional deviation thresholds and angular deviation with angular deviation thresholds, the responsiveness of real-time monitoring is ensured, avoiding delays caused by manual intervention and providing clear triggering conditions for command generation. Based on the comparison results, commands are generated to trigger the molding machine to pause and initiate the correction mechanism, ensuring immediate interruption of the production process and the start of correction, thereby reducing scrap rates, improving production consistency and efficiency, and ultimately supporting the determination and execution of real-time control commands.

[0152] In some embodiments, a line scan camera is used to scan the entire formed cord layer to generate an overall image of the cord layer; the overall image is analyzed to calculate the average position deviation and average angle deviation of the entire cord; based on the average position deviation and average angle deviation, a uniformity index is determined; the uniformity index is fed back to the pretension control system for online self-correction and optimization of system parameters.

[0153] A line scan camera is an industrial camera that captures images using a fixed scanning method.

[0154] The cord layer can be a cord structure layer that has been laid during the tire forming process.

[0155] The ply can be a structural layer composed of cords and a rubber matrix in tire manufacturing.

[0156] The overall image can be a high-resolution, full-coverage digital image.

[0157] A full cord can be the collection of all cords in a cord layer.

[0158] Average position deviation can be the average offset distance between the actual position of the entire cord and the centerline data of the bead.

[0159] The average angle deviation can be the average offset angle between the actual direction of the entire cord and the preset standard angle.

[0160] Uniformity indexes can be numerical indicators used to quantify the overall uniformity of cord arrangement.

[0161] System parameters can be adjustable operating variables in a pretension control system.

[0162] Specifically, after the cord is laid, a high-resolution line scan camera installed on the forming machine starts the scanning program and scans at a constant speed (the linear movement speed of the scanning head of the line scan camera remains constant during the scanning process) along the cord laying direction (the main direction in which the cord (such as the cord in the tire carcass ply) is laid onto the tire carcass), covering the entire width and length of the cord layer; during the scanning process, a linear image sequence of the cord is continuously captured; then the linear image sequence is combined into a complete, high-resolution overall image of the ply layer.

[0163] Image processing algorithms (such as contour extraction algorithms) are used to process the overall image; then all positional deviations are aggregated and the arithmetic mean is taken as the average positional deviation of the entire cord; at the same time, all angle deviations are aggregated and the arithmetic mean is taken as the average angle deviation of the entire cord.

[0164] The uniformity index is determined by weighted summation of the average positional deviation and the average angular deviation (the smaller the value, the better the uniformity). The uniformity index is transmitted to the pretension control system in real time. After receiving the uniformity index, the pretension control system dynamically adjusts the system parameters to reduce deviations in the cord laying and achieve online self-correction optimization.

[0165] This solution utilizes a line-scan camera to scan the entire formed cord layer, generating a comprehensive image of the fabric layer. This avoids cumulative errors caused by delays, improving the real-time performance and reliability of monitoring. Analysis of the overall image calculates the average positional and angular deviations of the entire cord layer, addressing the lack of precise data fusion and thus improving detection accuracy and consistency. Based on the average positional and angular deviations, a uniformity index is determined, enhancing data processing efficiency, supporting immediate identification of problem areas, and reducing the need for manual intervention. The uniformity index is fed back to the pretension control system for online self-calibration and optimization of system parameters, addressing deficiencies in static parameter settings, reducing scrap rates, and supporting the stable manufacturing of high-performance tires.

[0166] In some embodiments, the adjusted cord image data is re-acquired to verify whether the cord position and angle have been corrected to within the allowable error range; if not corrected, a secondary correction strategy is initiated, which includes issuing an alarm, recording deviation data, or notifying the production management system.

[0167] The position of the cord can be the spatial coordinates of the cords that make up the carcass ply during the tire forming process.

[0168] The permissible error range can be the maximum tolerance value for the position and angle deviation of the cord.

[0169] The secondary correction strategy can be a backup correction mechanism that is automatically activated when the position and angle of the cord are not corrected to the error range, including issuing an alarm, recording deviation data, or notifying the production management system.

[0170] Deviation data can be information on the position and angle deviations of the cord that are quantified and recorded during the verification process, including average position deviation, average angle deviation, timestamps, and related production parameters.

[0171] The production management system can be an upper-level computerized system integrated into the tire manufacturing process.

[0172] Specifically, after dynamically adjusting the operating parameters, the high-resolution line scan camera installed on the molding machine is started and performs a fixed scan at a constant speed along the cord laying direction, covering the entire width and length of the cord layer; during the scanning process, the line scan camera continuously captures a linear image sequence of the cord (i.e., the image data stream generated by line-by-line scanning); the linear image sequence is combined in real time into a complete, high-resolution cord image data.

[0173] Then, the positional and angular deviations of the cord in the adjusted cord image data are calculated. Subsequently, all positional deviations are aggregated, and the arithmetic mean is taken as the adjusted average positional deviation. Simultaneously, all angular deviations are aggregated, and the arithmetic mean is taken as the adjusted average angular deviation. The average positional deviation is then compared with the allowable error range (the acceptable limit of cord positional deviation, used to determine whether the average positional deviation has been corrected to the allowable error range) set according to industry standards. Simultaneously, the average angular deviation is compared with the allowable error range (the acceptable limit of cord angle deviation, used to determine whether the average angular deviation has been corrected to the allowable error range) set according to industry standards. If both the average positional deviation and the average angular deviation are below the allowable error range, it is determined that the cord position and angle have been corrected to the allowable error range; otherwise, it is determined that the cord position and angle have not been corrected to the allowable error range.

[0174] If the deviation is not corrected to within the allowable error range, a secondary correction strategy will be automatically activated. This strategy includes issuing an alarm: displaying a warning message through an integrated audible and visual alarm device (such as a buzzer and LED indicator) to notify the field operator in real time that there is an uncorrected deviation that requires manual intervention or inspection; recording deviation data: saving the current average position deviation, average angle deviation, timestamp, and relevant production parameters (parameters closely related to cord laying, adhesive application, and calendering processes in tire forming) to a log file; or notifying the production management system: sending the deviation data and alarm information to the production management system.

[0175] This solution involves re-collecting and adjusting the cord image data to verify whether the cord position and angle have been corrected to within the allowable error range. It identifies any remaining cord misalignment issues, providing a clear basis for triggering the secondary correction strategy. This avoids quality risks caused by misjudgment, ensures zero-delay detection, supports rapid response, and improves the continuity and efficiency of the production process. If the misalignment is not corrected, the secondary correction strategy is activated to ensure timely identification and handling of the cord misalignment issue, thereby enhancing the quality consistency of tire production, reducing scrap rates, and improving operational efficiency.

[0176] In some embodiments, at least one of the following is adjusted: the rotational speed of the guide roller, the lateral displacement of the guide, or the spacing of the calendering roller.

[0177] A guide roller can be a roller device used in a tire forming machine to unroll cord rolls.

[0178] A guide can be a device used in a tire forming machine to guide and position the cords.

[0179] Lateral displacement can be the distance the guide moves perpendicular to the direction of cord conveying.

[0180] Calendering rolls can be roller devices used in tire forming machines for calendering cords and rubber.

[0181] Specifically, upon receiving a real-time control command, the system performs at least one of the following adjustments: adjusting the rotational speed of the guide roller, adjusting the lateral displacement of the guide, or adjusting the spacing of the calendering rollers, in order to dynamically adjust the operating parameters of the tire forming machine.

[0182] The control circuit sends real-time control commands (such as adjusting the speed) to the servo driver or frequency converter driver of the guide roller at the beginning of the cord conveying system installed in the tire forming machine. The output speed of the motor is precisely adjusted according to the real-time control commands, thereby changing the opening speed of the cord roll. For example, when the cord is conveyed too fast, resulting in uneven tension and skew, the speed of the guide roller is reduced to decrease the conveying rate; conversely, the speed is increased.

[0183] By sending real-time control commands (such as adjusting lateral displacement) to the servo motor or linear actuator of the guide installed on the cord delivery path through the control circuit, the guide is driven to make precise lateral movements along its track (usually through a ball screw mechanism), thereby directly fine-tuning the cord laying path and correcting its positional deviation.

[0184] Alternatively, real-time control commands (such as adjusting the spacing) can be sent to the servo motor, hydraulic cylinder, or electric push rod of the calendering roll installed in the calendering area of ​​the tire forming machine via the control circuit, thereby adjusting the bearing seat or adjusting device of the calendering roll to change the gap (i.e., roll pitch) between the two rolls.

[0185] This solution addresses deficiencies in static parameter settings by adjusting at least one of the following: the rotational speed of the guide roller, the lateral displacement of the guide, or the spacing of the calendering roller. This avoids post-processing corrections, thereby improving production efficiency and consistency. It also prevents over-correction or the introduction of new inhomogeneities, ensuring that the cords remain stably aligned before coating and calendering, thus improving overall production quality. Alternatively, it can enhance tire fatigue resistance and overall stability while reducing production interruptions and increasing efficiency.

[0186] In some embodiments, the position deviation threshold is ±0.3 mm; the angle deviation threshold is ±0.5°.

[0187] Specifically, the positional deviation is compared with the positional deviation threshold (±0.3mm). If the positional deviation is greater than 0.3mm, it is determined that the positional deviation exceeds the limit. At the same time, the angle deviation is compared with the angle deviation threshold (±0.5°). If the absolute value of the angle deviation is greater than 0.5°, it is determined that the angle deviation exceeds the limit.

[0188] If any deviation exceeds the limit, a real-time control command is generated; otherwise, monitoring continues without adjustment.

[0189] With this solution, the position deviation threshold is ±0.3mm and the angle deviation threshold is ±0.5mm, achieving adaptive control. Adjustment is triggered only when the deviation exceeds the limit, avoiding the static parameter or over-adjustment problems described, and ensuring a fast and targeted response. This reduces unnecessary intervention, maintains the stability and efficiency of the production process, and prevents the deterioration of cord skew caused by delayed correction.

[0190] Figure 2 A schematic diagram of the structure of an optimization system for tire rubber production design process provided in an embodiment of this application is shown below. Figure 2 As shown, the tire rubber production design process optimization system 200 of this embodiment includes: tension control module 201, data analysis module 202, instruction generation module 203, and parameter adjustment module 204.

[0191] Tension control module 201 is used to apply a constant tension value to the conveyed cord through a pre-tension control system before the cord is coated with glue and calendered.

[0192] Data analysis module 202 is used to collect real-time image data of the curtain cord through a visual sensor or laser positioning device, and determine the real-time position and real-time angle of the curtain cord based on the image data of the curtain cord;

[0193] The instruction generation module 203 is used to acquire the real-time tension data fed back by the pretension control system, and determine the real-time control instruction for correcting the skew of the curtain wire based on the real-time tension data, the real-time position and the real-time angle.

[0194] The parameter adjustment module 204 is used to dynamically adjust the operating parameters of the tire forming machine according to the real-time control command.

[0195] Optionally, when the tension control module 201 applies a constant tension to the conveyed cord through the pretension control system, it is used for:

[0196] Obtain cord information and determine cord type;

[0197] Retrieve the preset parameter library and determine the target tension range based on the cord type;

[0198] Select a constant tension value based on the target tension range;

[0199] A constant tension value is applied to the conveying cord through a pretension control system.

[0200] Optionally, when the tension control module 201 selects a constant tension value based on the target tension range, it is used to:

[0201] Acquire historical production data, real-time environmental data, and experimental design matrix; the real-time environmental data includes ambient temperature.

[0202] Based on the experimental design matrix and the ambient temperature, determine the tension response model;

[0203] The historical production data and the type of cord are input into the tension response model to obtain a constant tension value.

[0204] Optionally, the real-time environmental data also includes ambient lighting conditions. When the data analysis module 202 determines the real-time position and angle of the curtain based on the curtain image data, it is used for:

[0205] Obtain the pre-inputted tire bead centerline data within the pretension control system;

[0206] Based on the ambient lighting conditions, edge detection is performed on the curtain wire image data to identify the curtain wire edges;

[0207] Based on the identified cord edge and the center line data of the tire bead, the real-time position and angle of the cord are calculated.

[0208] Optionally, when the instruction generation module 203 determines the real-time control instruction for correcting the cord misalignment based on the real-time tension data, the real-time position, and the real-time angle, it is used to:

[0209] Calculate the positional deviation between the real-time position and the bead centerline data, and the angular deviation between the real-time angle and the preset standard angle;

[0210] Compare the positional deviation with the positional deviation threshold, and the angle deviation with the angle deviation threshold;

[0211] Based on the comparison results, a command is generated to trigger the molding machine to pause and start the correction mechanism.

[0212] Optionally, the tire rubber production design process optimization system further includes a parameter optimization module 205, used for:

[0213] The entire formed cord layer is scanned using a line scan camera to generate an overall image of the cord layer.

[0214] The overall image is analyzed to calculate the average positional deviation and average angular deviation of the entire cord.

[0215] The uniformity index is determined based on the average positional deviation and the average angular deviation.

[0216] The uniformity index is fed back to the pretension control system for online self-correction and optimization of system parameters.

[0217] Optionally, the optimization system for tire rubber production design process further includes a strategy initiation module 206, used for:

[0218] Reacquire the adjusted image data of the curtain cord to verify whether the position and angle of the curtain cord have been corrected to within the allowable error range;

[0219] If the deviation is not corrected, a secondary corrective action strategy is initiated, which includes issuing an alarm, recording deviation data, or notifying the production management system.

[0220] Optionally, the dynamic adjustment of the operating parameters of the tire forming machine includes at least one of: adjusting the rotational speed of the guide roller, adjusting the lateral displacement of the guide, or adjusting the spacing of the calendering roller.

[0221] Optionally, the position deviation threshold is ±0.3mm; the angle deviation threshold is ±0.5°.

[0222] The system in this embodiment can be used to execute the methods of any of the above embodiments, and its implementation principle and technical effect are similar, so they will not be described again here.

Claims

1. An optimization method for tire rubber production design process, applied to the tire molding stage, characterized in that, include: Before the cord is coated with adhesive and calendered, a constant tension value is applied to the cord during transport by a pretension control system. The real-time image data of the curtain cord is collected by a visual sensor or laser positioning device, and the real-time position and angle of the curtain cord are determined based on the image data. The real-time tension data fed back by the pretension control system is obtained, and a real-time control command for correcting the skew of the cord is determined based on the real-time tension data, the real-time position, and the real-time angle. The operating parameters of the tire forming machine are dynamically adjusted according to the real-time control commands.

2. The method according to claim 1, characterized in that, The process of applying constant tension to the conveyed cord through a pre-tension control system includes: Obtain cord information and determine cord type; Retrieve the preset parameter library and determine the target tension range based on the cord type; Select a constant tension value based on the target tension range; A constant tension value is applied to the conveying cord through a pretension control system.

3. The method according to claim 2, characterized in that, The step of selecting a constant tension value based on the target tension range includes: Acquire historical production data, real-time environmental data, and experimental design matrix; the real-time environmental data includes ambient temperature. Based on the experimental design matrix and the ambient temperature, determine the tension response model; The historical production data and the type of cord are input into the tension response model to obtain a constant tension value.

4. The method according to claim 3, characterized in that, The real-time environmental data also includes ambient lighting conditions. Determining the real-time position and angle of the curtain based on the curtain image data includes: Obtain the pre-inputted tire bead centerline data within the pretension control system; Based on the ambient lighting conditions, edge detection is performed on the curtain wire image data to identify the curtain wire edges; Based on the identified cord edge and the center line data of the tire bead, the real-time position and angle of the cord are calculated.

5. The method according to claim 4, characterized in that, The step of determining real-time control commands for correcting cord misalignment based on the real-time tension data, the real-time position, and the real-time angle includes: Calculate the positional deviation between the real-time position and the bead centerline data, and the angular deviation between the real-time angle and the preset standard angle; Compare the positional deviation with the positional deviation threshold, and the angle deviation with the angle deviation threshold; Based on the comparison results, a command is generated to trigger the molding machine to pause and start the correction mechanism.

6. The method according to claim 1, characterized in that, After the cord is laid, the following is also included: The entire formed cord layer is scanned using a line scan camera to generate an overall image of the cord layer. The overall image is analyzed to calculate the average positional deviation and average angular deviation of the entire cord. The uniformity index is determined based on the average positional deviation and the average angular deviation. The uniformity index is fed back to the pretension control system for online self-correction and optimization of system parameters.

7. The method according to claim 1, characterized in that, After dynamically adjusting the operating parameters of the tire forming machine, the method further includes: Reacquire the adjusted image data of the curtain cord to verify whether the position and angle of the curtain cord have been corrected to within the allowable error range; If the deviation is not corrected, a secondary corrective action strategy is initiated, which includes issuing an alarm, recording deviation data, or notifying the production management system.

8. The method according to claim 1, characterized in that, The dynamic adjustment of the operating parameters of the tire forming machine includes at least one of the following: adjusting the rotational speed of the guide roller, adjusting the lateral displacement of the guide, or adjusting the spacing of the calendering roller.

9. The method according to claim 5, characterized in that, The position deviation threshold is mm; the angle deviation threshold is .

10. An optimization system for tire rubber production design process, characterized in that, The method applied to any one of claims 1-9 includes: The tension control module is used to apply a constant tension value to the conveyed cord through a pre-tension control system before the cord is coated with adhesive and calendered. The data analysis module is used to collect real-time image data of the curtain cord through a visual sensor or laser positioning device, and determine the real-time position and angle of the curtain cord based on the image data. The instruction generation module is used to acquire real-time tension data fed back by the pretension control system, and determine real-time control instructions for correcting the skew of the curtain wire based on the real-time tension data, the real-time position and the real-time angle. The parameter adjustment module is used to dynamically adjust the operating parameters of the tire forming machine according to the real-time control commands.

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