A method and system for improving tire radial runout and radial force performance

Abstract

The present application relates to the field of tire manufacturing and performance control technology, and particularly relates to a method and system for improving tire radial runout and radial force performance, comprising receiving specification parameters of a tire to be produced and extracting numerical values, generating a predetermination control instruction containing predetermination position parameters, and a shaping control instruction containing air pressure, air inflation time and width positioning speed parameters. A production control system controls equipment to process a tire tube to be processed according to the predetermination instruction, forms an initial stretched shape tire tube, executes the shaping instruction, controls the molding equipment to inflate the tire tube at a set pressure and time, and synchronously adjusts the moving speed, and finally outputs a tire after shaping processing is completed. The present application can effectively improve the physical performance of tire radial runout and radial force.

Description

Technical Field

[0001] This invention relates to the field of tire manufacturing and performance control technology, and in particular to a method and system for improving tire radial runout and radial force performance. Background Technology

[0002] The manufacturing process of all-steel radial tires includes a forming and shaping process. This process involves injecting gas into the tire barrel, which gradually expands and comes into contact with the tire crown. The production equipment relies on an automated control system that issues operating commands. This system regulates the gas pressure and the speed of the equipment components. Standardized process parameters are crucial for maintaining product quality.

[0003] Currently, the tire molding and shaping process lacks standardized formulation parameters and operational procedures, resulting in inconsistent formulation parameters when producing tires of the same specification on the same molding machine. This inconsistency leads to significant performance differences among products of the same specification, resulting in decreased product stability. Furthermore, the production process lacks solutions to address tire runout and radial force issues. For example, operators may input random high-pressure inflation times into the molding equipment, causing variations in inflation time and resulting in the tire barrel not fully and evenly expanding before contacting the tire crown. Uneven expansion of the tire barrel in certain areas can easily lead to tire vibration, thereby reducing driving comfort. It is necessary to develop optimal formulation parameter schemes and implement standardized operations; standardized processes can effectively improve the overall physical properties of tires. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a method and system for improving tire radial runout and radial force performance. This invention solves the technical problem that the lack of standardized formula parameters and operational procedures in the molding and shaping process leads to large performance differences in tires of the same specification and poor radial runout and radial force.

[0005] To solve the technical problems, the specific contents of the present invention are as follows: In a first aspect, the present invention provides a method for improving tire radial runout and radial force performance, comprising: Receive specification parameter information of the tires to be produced sent by the manufacturing scheduling terminal; Extract parameter values ​​from the specification parameter information of the tire to be produced, and use the parameter values ​​to generate corresponding pre-forming control instructions and final forming control instructions. The pre-forming control instructions include pre-forming position parameters, and the final forming control instructions include inflation pressure parameters, inflation time parameters, and width positioning speed parameters. The predetermined control command is sent to the production control system, which instructs the production control system to control the molding equipment to be operated to process the die to be processed according to the predetermined position parameters, so as to obtain the initial stretched die shape. The shaping control command is sent to the production control system, which instructs the production control system to control the molding equipment to be run to inject gas into the initially stretched tire barrel according to the inflation pressure parameter and the inflation time parameter, and to adjust the moving speed of the molding equipment to be run according to the width positioning speed parameter, so as to output the shaped tire.

[0006] Furthermore, the method for improving tire radial runout and radial force performance provided by the present invention, wherein the step of extracting parameter values ​​from the specification parameter information of the tire to be produced, and generating corresponding pre-design control commands and finalization control commands using the parameter values, includes: Extract the dimension values ​​from the specification parameters of the tire to be produced; The size value is compared with the preset size boundary value, and the first comparison result is output. When the first comparison result indicates that the size value is less than or equal to the preset size boundary value, the pre-established standard shaping value and the first compensation increment are retrieved, and the standard shaping value and the first compensation increment are added to obtain the first pre-shaped position parameter. When the first comparison result indicates that the size value is greater than the preset size boundary value, the head width value of the molding equipment to be run and the second compensation reduction are extracted, and the head width value and the second compensation reduction are subtracted to obtain the second pre-formed position parameter. The first or the second predetermined position parameter is encapsulated into the predetermined control instruction to generate the predetermined position parameter.

[0007] Furthermore, the method for improving tire radial runout and radial force performance provided by the present invention, wherein the step of extracting parameter values ​​from the specification parameter information of the tire to be produced, and generating corresponding pre-design control commands and finalization control commands using the parameter values, includes: Extract the dimension values ​​from the specification parameters of the tire to be produced; The size value is compared with the preset size boundary value, and a second comparison result is output. When the second comparison result indicates that the size value is less than or equal to the preset size boundary value, the pre-established low-pressure value range is retrieved, the center value within the low-pressure value range is extracted, and the center value is set as the inflation pressure parameter. When the second comparison result indicates that the size value is greater than the preset size boundary value, the pre-established high pressure value range is retrieved, the center value within the high pressure value range is extracted, and the center value is set as the inflation pressure parameter. The value contained in the high pressure value range is greater than the value contained in the low pressure value range.

[0008] Furthermore, the method for improving tire radial runout and radial force performance provided by the present invention, wherein the step of extracting parameter values ​​from the specification parameter information of the tire to be produced and generating corresponding pre-design control commands and finalization control commands using the parameter values, further includes: When the second comparison result indicates that the size value is less than or equal to the preset size boundary value, the first inflation time data corresponding to the low pressure value range is extracted, the first inflation time data is written into the shaping control command, and the inflation time parameter is generated. When the second comparison result indicates that the size value is greater than the preset size boundary value, the second inflation time data corresponding to the high pressure value range is extracted, the second inflation time data is written into the shaping control command, and the inflation time parameter is generated. The time value contained in the second inflation time data is greater than the time value contained in the first inflation time data.

[0009] Furthermore, the method for improving tire radial runout and radial force performance provided by the present invention, wherein the step of extracting parameter values ​​from the specification parameter information of the tire to be produced, and generating corresponding pre-design control commands and finalization control commands using the parameter values, includes: Extract the model identification characters of the molding equipment to be operated; The model identification character is used to query a pre-established speed configuration database to read the basic speed range associated with the model identification character; Extract the tire diameter value from the specification parameters of the tire to be produced; Divide the highest speed value in the basic speed range by the tire diameter value to obtain the speed attenuation coefficient. The target moving speed is obtained by multiplying the speed attenuation coefficient by a pre-set proportional constant, and then subtracting the product value from the highest speed value in the basic speed range. The target moving speed is written into the shaping control command to generate the width positioning speed parameter.

[0010] Furthermore, the method for improving tire radial runout and radial force performance provided by the present invention, wherein the production control system controls the molding equipment to be operated to process the tire casing according to the predetermined position parameters to obtain an initial stretched tire casing, includes: Send an inflation start signal to the production control system, instructing the production control system to open the inflation control valve; The device receives real-time tire cylinder expansion displacement data sent by a displacement detection node, which is installed inside the molding equipment to be operated. The displacement deviation value is obtained by subtracting the predetermined position parameter from the real-time tire tube expansion displacement data. When the displacement deviation value is equal to zero, an inflation shutdown signal is sent to the production control system, instructing the production control system to close the inflation control valve and lock the air circuit, and output the initial stretched tire tube shape.

[0011] Furthermore, the method for improving tire radial runout and radial force performance provided by the present invention, after the tire has been output and shaped, further includes: Receive actual process execution data sent by the data acquisition node, wherein the actual process execution data includes the actual inflation pressure and actual inflation time of the molding equipment to be operated during the processing. The actual inflation pressure and the actual inflation time are concatenated to form an input tensor. The input tensor is then input into the input layer of the quality detection model. Matrix multiplication and activation function operations are performed through the hidden layer nodes, and the processing quality evaluation value is output by the output layer. Subtract the pre-set pass / fail index value from the processing quality assessment value to obtain the deviation. When the deviation is greater than zero, the pre-established correction ratio coefficient is multiplied by the deviation to obtain the parameter correction compensation amount; The parameter correction compensation amount is numerically superimposed with the inflation pressure parameter and the inflation time parameter to complete the parameter update for the next production batch.

[0012] Furthermore, the method for improving tire radial runout and radial force performance provided by the present invention further includes, before concatenating the actual inflation pressure and the actual inflation time into an input tensor: Read the historical actual inflation pressure and historical actual inflation time, and concatenate them to form an input feature matrix; Read the tire radial force physical detection data corresponding to the historical actual inflation pressure and the historical actual inflation time, and convert it into a real label vector; The input feature matrix is ​​fed into the initial neural network to perform forward propagation, and the predicted evaluation value is output. Subtract the predicted evaluation value from the true label vector to obtain the error value; The error value is substituted into the gradient descent algorithm to calculate the gradient values ​​of the network layers of the initial neural network. The weight matrix and bias terms of the initial neural network are then updated in reverse based on the gradient values ​​of the network layers. When the error value is less than or equal to the preset tolerance value, the update of the weight matrix and the bias term is stopped, and the trained initial neural network is solidified into the quality detection model.

[0013] Furthermore, the method for improving tire radial runout and radial force performance provided by the present invention, after subtracting a preset pass index value from the processing quality assessment value to obtain the deviation, further includes: The deviation is compared with the preset extreme value alarm boundary value, and the abnormal monitoring result is output. When the abnormal monitoring result indicates that the deviation is greater than the extreme value alarm boundary value, an abnormal shutdown command is generated; The abnormal shutdown command is sent to the production control system, which instructs the production control system to cut off the power supply circuit of the molding equipment to be operated, and sends the actual inflation pressure and the actual inflation time to the monitoring terminal device for display.

[0014] Secondly, the present invention provides a system for improving tire radial runout and radial force performance, applied to the method for improving tire radial runout and radial force performance as described above, comprising: The information receiving module is used to receive the specification parameters of the tires to be produced sent by the manufacturing scheduling terminal; The instruction generation module is used to extract parameter values ​​from the specification parameter information of the tire to be produced, and use the parameter values ​​to generate corresponding pre-forming control instructions and final forming control instructions. The pre-forming control instructions include pre-forming position parameters, and the final forming control instructions include inflation pressure parameters, inflation time parameters, and width positioning speed parameters. The pre-design control module is used to send the pre-design control command to the production control system, instructing the production control system to control the molding equipment to be run to process the die to be processed according to the pre-design position parameters, so as to obtain the initial unfolded die. The shaping control module is used to send the shaping control command to the production control system, instructing the production control system to control the molding equipment to be run to inject gas into the initially stretched tire barrel according to the inflation pressure parameter and the inflation time parameter, and to adjust the moving speed of the molding equipment to be run according to the width positioning speed parameter, and output the shaped tire.

[0015] Beneficial effects of this invention: This invention provides a method and system for improving tire radial runout and radial force performance. It extracts parameter values ​​from the specifications of the tire to be produced, generating pre-formation control commands including pre-formation position parameters, and finalization control commands including inflation pressure parameters, inflation time parameters, and width positioning speed parameters. In the process execution phase, the production control system first processes the tire casing according to the pre-formation position parameters, constructing an initial expanded tire casing shape. Then, gas is injected into the initially expanded tire casing according to the inflation pressure and inflation time parameters, and simultaneously, the moving speed of the molding equipment is adjusted according to the width positioning speed parameters. The control commands issued in these stages and the molding equipment constitute a close data collaboration mechanism, effectively overcoming the defect in the prior art where the lack of standardized process parameters during the molding and finalization process leads to uneven local expansion of the tire casing. Specifically, the quantitatively generated pre-formation position parameters provide initial standard tensile deformation constraints for the tire body; the subsequent gas injection process, customized based on tire size, and the movement process of the molding equipment achieve precise physical alignment in both time and space. Precise alignment ensures that the tire tube reaches a fully and uniformly extended shape before contacting the crown belt, thereby eliminating local deformation and internal stress concentration caused by random parameter variations from the source. Ultimately, this effectively improves the overall performance of the tire's radial runout and radial force after the shaping process is completed. Attached Figure Description

[0016] To more clearly illustrate the technical solution of the present invention, the drawings used in the embodiments will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on the drawings without creative effort.

[0017] Figure 1 This is a flowchart illustrating a method for improving tire radial runout and radial force performance provided by the present invention. Detailed Implementation

[0018] To make the technical solution of the present invention clearer, the present invention will be clearly and completely described below with reference to specific embodiments and corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] Firstly, please refer to Figure 1 The present invention provides a method for improving tire radial runout and radial force performance, comprising: Step 1: Receive the specification parameters of the tires to be produced from the manufacturing scheduling terminal; Step 2: Extract parameter values ​​from the specification parameter information of the tire to be produced, and use the parameter values ​​to generate corresponding pre-forming control instructions and final forming control instructions. The pre-forming control instructions include pre-forming position parameters, and the final forming control instructions include inflation pressure parameters, inflation time parameters, and width positioning speed parameters. Step 3: Send the predetermined control command to the production control system, instructing the production control system to control the molding equipment to be run to process the die to be processed according to the predetermined position parameters, so as to obtain the initial stretched die shape. Step 4: Send the shaping control command to the production control system, instructing the production control system to control the molding equipment to be run to inject gas into the initially stretched tire barrel according to the inflation pressure parameter and the inflation time parameter, and adjust the moving speed of the molding equipment to be run according to the width positioning speed parameter, and output the shaped tire.

[0020] The calculation steps for extracting parameter values ​​from the specification information of the tire to be produced and generating corresponding pre-designed control commands using these parameter values ​​are as follows: First, the size value of the tire to be produced is extracted from the specification information and input into the microprocessor's comparison register. Then, the size value is logically compared with a preset size boundary value, and a high / low level signal is output as the first comparison result. When the first comparison result indicates that the size value is less than or equal to the preset size boundary value, the control program retrieves the pre-established standard design value and the first compensation increment from the read-only memory, and calls the arithmetic logic unit to add the standard design value and the first compensation increment to obtain the first pre-designed position parameter. In specific physical application scenarios, the first compensation increment is set as a positive displacement compensation amount, mainly used to increase the stretching stroke of small-sized tires. When the first comparison result indicates that the size value is greater than the preset size boundary value, the control program extracts the head width value of the forming equipment to be operated via the industrial Ethernet bus, and simultaneously retrieves the pre-set second compensation reduction. Then, the arithmetic logic unit is called to subtract the head width value from the second compensation reduction to output the second pre-designed position parameter. At the physical level, the second compensation reduction is used to limit the excessive expansion displacement of large-sized tires. After the microprocessor completes the above arithmetic operations, it converts the first or second predetermined position parameter into hexadecimal machine code and encapsulates it into the data frame payload of the predetermined control instruction, ultimately generating a complete predetermined position parameter delivery sequence.

[0021] In the condition determination stage of generating the inflation pressure parameter in the model control instruction, the microprocessor extracts the size value from the specification parameter information of the tire to be produced, and inputs the size value again into the comparison register for comparison with the preset size boundary value, thereby outputting a second comparison result. When the second comparison result indicates that the size value is less than or equal to the preset size boundary value, the system addresses and retrieves the low-pressure value range from the pre-established database, and extracts the arithmetic mean of the upper and lower limits of the low-pressure value range as the center value, setting the center value as the inflation pressure parameter. When the second comparison result indicates that the size value is greater than the preset size boundary value, the system addresses and retrieves the high-pressure value range from the database, and extracts the arithmetic mean of the upper and lower limits of the high-pressure value range as the center value, setting the center value as the inflation pressure parameter. The underlying logic restricts the values ​​contained in the high-pressure value range to be absolutely greater than the values ​​contained in the low-pressure value range, in order to match the base air pressure required by the larger internal cavity of the large-size tire; the microprocessor then converts the generated inflation pressure parameter into the corresponding digital quantity for digital-to-analog conversion and writes it into the storage area corresponding to the model control instruction.

[0022] In the data mapping stage of generating the inflation time parameter in the shaping control command, when the second comparison result indicates a size value less than or equal to a preset size boundary value, the microprocessor extracts the first inflation duration data corresponding to the low-pressure value range and writes it into the shaping control command as the reload value of the timer, generating the inflation time parameter. When the second comparison result indicates a size value greater than the preset size boundary value, the control module extracts the second inflation duration data corresponding to the high-pressure value range and writes it into the shaping control command as the reload value of the timer, similarly generating the inflation time parameter. The molding equipment to be operated requires increased inflation time to produce large-size tires. The time value contained in the second inflation duration data is greater than the time value contained in the first inflation duration data. The system completes the assembly of the shaping control command in the time dimension according to the set logic.

[0023] Regarding the calculation of width positioning speed parameters, the microprocessor extracts the model identification character of the molding equipment to be operated via the device communication interface, and uses the model identification character as the primary key to query the pre-established speed configuration database to read the basic speed range associated with the model identification character. Subsequently, the system synchronously extracts the tire diameter value from the specification parameters of the tire to be produced, calls the floating-point arithmetic unit to divide the highest speed value of the basic speed range by the tire diameter value to obtain the speed attenuation coefficient; further, the speed attenuation coefficient is multiplied by a pre-set proportional constant to obtain the product value, and then the subtractor is called to subtract the product value from the highest speed value of the basic speed range to obtain the target moving speed. The above mathematical operation establishes an inverse proportional physical relationship that the larger the tire diameter, the slower the target moving speed; after the calculation is completed, the control unit converts the target moving speed into a duty cycle control word of a pulse width modulation signal, writes it into the shaping control instruction, and thus generates the width positioning speed parameters.

[0024] In the hardware coordination step of the production control system controlling the molding equipment to be operated for initial expansion processing, the production control system sends a high-level digital inflation start signal to the electrical actuator, instructing the associated unit to open the inflation control valve, allowing high-pressure gas to enter the cylinder. Simultaneously, the control system continuously receives real-time cylinder expansion displacement data from the displacement detection node via an analog-to-digital converter module; the displacement detection node is fixedly installed inside the molding equipment to be operated and outputs an analog voltage signal. After receiving the data, the arithmetic unit calls a subtractor to perform real-time subtraction between the predetermined position parameter and the real-time cylinder expansion displacement data, obtaining the dynamically changing displacement deviation value, which is then input to the zero-crossing detection circuit. When the displacement deviation value is precisely equal to zero, the zero-crossing detection circuit flips and outputs a trigger signal; upon receiving the trigger signal, the production control system immediately sends an inflation stop signal to the electrical actuator, cutting off the control voltage of the inflation control valve and locking the mechanical air circuit, ultimately outputting a cylinder with a stable initial expansion shape at the predetermined position parameter.

[0025] Regarding the data feedback and parameter update steps after the tire shaping and processing is completed, the matrix calculation and dynamic compensation path is as follows: The system receives the actual process execution data sent by the data acquisition node via the industrial IoT interface. The actual process execution data includes the actual inflation pressure and actual inflation time of the forming equipment during the processing. The microprocessor concatenates the actual inflation pressure and actual inflation time into a one-dimensional input tensor. and input tensor The input is fed into the input layer of the quality inspection model; subsequently, matrix multiplication is performed through the hidden layer nodes within the quality inspection model. The nonlinear activation function operation outputs a single-dimensional processing quality assessment value from the output layer. The computation module calls a subtraction instruction to subtract a pre-set pass / fail index value from the processing quality assessment value, obtaining a deviation value including the sign attribute. When the deviation value is greater than zero, the processor multiplies the deviation value with a pre-established correction ratio coefficient to obtain the parameter correction compensation value. Finally, the execution unit calls the accumulator to perform a numerical superposition operation on the parameter correction compensation value, inflation pressure parameter, and inflation time parameter, completing the parameter update for the next production batch, thus forming a closed-loop data calibration channel.

[0026] Before performing the network layer weight optimization and solidification stages, the analysis server constructs the initial neural network topology. Prior to constructing the initial neural network, the intrinsic relationship between the model's input and output data is established. The actual inflation pressure during the shaping process determines the distribution of expansion tension inside the tire barrel, and the actual inflation time determines the duration of the stretching deformation of the tire carcass ply. The integral of the product of the actual inflation pressure and the actual inflation time directly characterizes the total work done by the gas on the tire barrel during the shaping stage. The uneven distribution of this total gas work will lead to differences in the mass distribution of different areas of the tire, which is reflected in the peak-to-peak variation of the radial force fluctuation under high-speed rotation testing after the tire has been shaped. Therefore, using the actual inflation pressure and actual inflation time as input features of the initial neural network, and the tire radial force detection data as the output, a clear causal mapping relationship exists between the two. This relationship provides the data logic basis for model training convergence.

[0027] The analysis server initializes the neural network as a multi-layer feedforward perceptron architecture, comprising an input layer, hidden layers, and an output layer. The input layer has two neurons, which receive data on the actual inflation pressure and inflation time, respectively. The hidden layers consist of two fully connected layers, each with 64 neurons. A linear rectified activation function is configured for the hidden layer neurons. This function handles the nonlinear mapping between pressure, time, and tire radial force. The output layer has one neuron, which outputs a predicted value for tire radial force fluctuation.

[0028] The analysis server uses a normally distributed random number generator to assign initial floating-point values ​​to the weight matrix and bias terms of the initial neural network. The analysis server completes the initial neural network initialization process. The analysis server then constructs the data processing path for the quality inspection model. In the data acquisition stage, the data acquisition node reads the actual inflation pressure and actual inflation time, converting the actual inflation pressure into a first floating-point scalar and the actual inflation time into a second floating-point scalar. Subsequently, the computation unit calls the data concatenation function to concatenate the first and second floating-point scalars along the column dimension; this concatenation operation directly generates an input feature tensor with a dimension of 2 rows and 1 column.

[0029] The constructed input feature tensor is transmitted to the input layer of the quality detection model. The input layer nodes then pass the input feature tensor through to the first fully connected hidden layer. This first fully connected hidden layer contains 64 neurons. Each neuron extracts the input feature tensor and performs a dot product operation between the input feature tensor and the first weight matrix. The result of the dot product operation is added to the first bias term to generate a hidden layer feature vector with dimensions 64 rows and 1 column.

[0030] The feature processing module then calls the linear rectified activation function to perform non-linear truncation on each numerical element of the hidden layer feature vector. The truncation logic filters out negative features less than or equal to 0, while retaining positive features greater than 0, thus outputting the activated hidden layer feature vector. This activated hidden layer feature vector continues to propagate forward to the output layer; a single neuron in the output layer performs an inner product operation between the activated hidden layer feature vector and the output layer weight matrix, ultimately obtaining a single scalar result with a dimension of 1 row and 1 column. This single scalar result is the processing quality assessment value characterizing the tire radial force fluctuation prediction result.

[0031] Simultaneously, the computing node reads tire radial force detection data corresponding one-to-one with historical actual inflation pressure and historical actual inflation time, and converts it into a true label vector of dimension N×1. To eliminate the influence of different dimensions on the weight matrix update, after the data preparation is complete, the computing node uses the maximum-minimum normalization algorithm to perform a linear transformation on the input feature matrix and the true label vector, uniformly mapping the values ​​of each dimension in the input feature matrix and the values ​​in the true label vector to a value range of 0 to 1, obtaining a normalized input feature matrix and a normalized true label vector.

[0032] Subsequently, the system inputs the normalized input feature matrix into the non-converged initial neural network to perform forward propagation matrix operations and outputs the predicted evaluation value. During the backpropagation update training process, the learning rate constant of the initial neural network is set to 0.001, the total number of batch training samples is set to 32, and the mean squared error is used as the loss function to calculate the error value. The loss function calculation module is called to subtract the predicted evaluation value from the true label vector to obtain the error value. The processing unit substitutes the error value into the gradient descent algorithm to calculate the network layer gradient values ​​of each hidden layer of the initial neural network, and updates the weight matrix and bias term of the initial neural network in the reverse direction of the gradient based on the network layer gradient values. After each iteration, the system performs a threshold determination: when the error value is less than or equal to the preset tolerance value, the computing node stops triggering the instruction to update the weight matrix and bias term, and persists the parameter matrix of the trained initial neural network, ultimately solidifying it into a quality detection model.

[0033] Regarding the anomaly monitoring and hardware blocking procedures after the deviation occurs, the extreme value protection logic is as follows: The microprocessor inputs the deviation to a digital comparator, compares it with the extreme value alarm boundary value pre-stored in the safety register, and outputs a high or low level digital signal as the anomaly monitoring result. When the anomaly monitoring result indicates that the deviation exceeds the extreme value alarm boundary value, the microprocessor's interrupt response mechanism is triggered, directly calling the underlying assembly code to generate an abnormal shutdown instruction with the highest priority. Subsequently, the processing unit sends the abnormal shutdown instruction to the production control system via hardwired, instructing the production control system to directly disconnect the main contactor coil of the molding equipment to be operated, cutting off the operating power supply circuit of the molding equipment. Simultaneously with the circuit disconnection, the production control system sends the actual inflation pressure and actual inflation time data packets that caused the anomaly to the monitoring terminal device via the display interface protocol for screen image rendering.

[0034] Predetermined position parameter dynamic optimization calculation formula:

[0035] Explanation of symbols in the formula: Represents the first predetermined position parameter; Represents the standard and finalized values; This represents the first incremental compensation. Represents the second pre-defined position parameter; This represents the width of the machine head. This represents the second compensation reduction. The formula for calculating the collaborative dimensionality reduction of width positioning speed is as follows:

[0036] Explanation of symbols in the formula: Represents the target's movement speed; This represents the maximum speed value, which is the highest speed value within the base speed range. This represents the tire diameter. Represents the velocity decay coefficient; Represents a proportionality constant. Derivation formulas for the forward propagation and parameter correction compensation of hidden layer nodes:

[0037]

[0038] Explanation of symbols in the formula: This represents a numerical value used to assess processing quality. Represents the activation function; This represents the weight matrix, which is the initial weight matrix of the neural network. Represents the actual inflation pressure; This represents the actual inflation time; Represents the input tensor; This represents the bias term, which is the initial bias term of the neural network; Representative parameter correction compensation amount; This represents the correction ratio coefficient; This represents the qualified indicator value, which is a pre-set qualified indicator value. This represents the deviation. The backpropagation optimization formula for the initial neural network weight matrix is ​​as follows:

[0039] Explanation of symbols in the formula: Represents the numerical value of the error; The total number of samples containing the historical actual inflation pressure and historical actual inflation time in the input feature matrix; Representing the One real label vector; Representing the One predicted and assessed value; This represents the updated weight matrix, which is the same as the updated weight matrix of the initial neural network. This represents the weight matrix before the update, which is the same as the initial weight matrix of the neural network before the update. The learning rate constant represents the gradient descent algorithm; This represents the gradient value of the network layer, which is the initial gradient value of the network layer in the neural network.

[0040] The system receives the specification parameters of the tires to be produced from the manufacturing scheduling terminal. It extracts the size value from these parameters and substitutes it as 16 inches, and the tire diameter value as 800 millimeters. The size value of 16 inches is then compared with a preset size boundary value of 17.5 inches in a comparison register. The comparison result indicates that the size value of 16 inches is less than the preset size boundary value of 17.5 inches.

[0041] The control program retrieves the pre-established standard shaping value of 850 mm and the first compensation increment of 80 mm from the read-only memory. It then calls the arithmetic logic unit to substitute the standard shaping value of 850 mm and the first compensation increment of 80 mm into the dynamic optimization calculation formula for the pre-shaped position parameter and adds them together to obtain the first pre-shaped position parameter of 930 mm. The production control system then controls the molding equipment to be run to process the die cylinder to be processed according to the first pre-shaped position parameter of 930 mm.

[0042] The microprocessor extracts the model identification character of the molding equipment to be run, queries a pre-established speed configuration database, reads the basic speed range associated with the model identification character, and extracts the highest speed value of the basic speed range, which is substituted as 50 mm / s. The microprocessor calls the floating-point unit to divide the highest speed value of the basic speed range, 50 mm / s, by the tire diameter, 800 mm, to obtain a speed attenuation coefficient of 0.0625. The microprocessor calls the multiplier to multiply the speed attenuation coefficient 0.0625 with a pre-set proportional constant 200, and performs a multiplication operation in the width positioning speed collaborative dimensionality reduction calculation formula to obtain a product value of 12.5 mm / s. The microprocessor calls the subtractor to subtract the product value of 12.5 mm / s from the highest speed value of the basic speed range, 50 mm / s, to obtain the target moving speed of 37.5 mm / s. The microprocessor writes the target moving speed of 37.5 mm / s into the shaping control command to generate the width positioning speed parameter.

[0043] The system receives actual process execution data sent by the data acquisition node, and concatenates the actual inflation pressure of 2.5 bar and the actual inflation time of 6 seconds contained in the actual process execution data to form an input tensor. The input tensor is then substituted into the forward propagation and parameter correction compensation derivation formula of the hidden layer node. Matrix multiplication and activation function operations are performed through the hidden layer node, and the output layer outputs a processing quality evaluation value of 115 Newtons.

[0044] The subtraction command subtracts the pre-set pass index of 100 Newtons from the processing quality assessment value of 115 Newtons, resulting in a deviation of 15 Newtons. Since the deviation of 15 Newtons is greater than zero, the pre-established correction ratio coefficient of 0.1 seconds / Newton is substituted into the physical derivation formula for parameter correction compensation and multiplied to obtain a parameter correction compensation of 1.5 seconds. This 1.5-second parameter correction compensation is then added to the inflation time parameter of 6 seconds to complete the parameter update for the next production batch. The updated inflation time parameter is set to 7.5 seconds.

[0045] The production control system sets the dimensional boundary value to 17.5 inches, which is used to distinguish the physical dimensions of small light truck tires from large heavy truck tires. Small light truck tires have dimensions less than or equal to 17.5 inches, while large heavy truck tires have dimensions greater than 17.5 inches. Setting the dimensional boundary value provides the basis for determining the control commands to be distributed.

[0046] The control program sets the first compensation increment to 80 mm, which increases the positive stretching stroke of the small-sized tire during the shaping stage; this positive stretching stroke prevents insufficient stretching in certain areas of the small-sized tire. Simultaneously, the control program sets the second compensation reduction to 50 mm, which limits the excessive expansion displacement of the large-sized tire during the shaping stage; this control of excessive expansion displacement prevents damage to the physical structure of the large-sized tire carcass.

[0047] The steady-state error parameter is set to 2 mm by the production control system, which filters out physical measurement noise data generated in the testing environment. The microprocessor sets the maximum speed value in the basic speed range to 50 mm / s and the proportionality constant to 200. The proportionality constant of 200 creates an inverse proportional mapping relationship between the target moving speed and the tire diameter value, ensuring smooth movement of the molding equipment.

[0048] The low-pressure range associated with inflation pressure is set by the production control system to 1.5 bar to 2.5 bar, with the center value of the low-pressure range set at 2.0 bar. This low-pressure range meets the inflation pressure requirements for small-sized tire molding. The high-pressure range is set by the production control system to 2.5 bar to 3.5 bar, with the center value of the high-pressure range set at 3.0 bar. This high-pressure range meets the expansion driving force requirements of the large cavity inside the tire barrel of large-sized tires.

[0049] The first inflation time is set by the production control system to be 4 to 7 seconds, and the second inflation time is set by the production control system to be 7 to 10 seconds. The second inflation time includes a longer time value than the first inflation time, and the extended time value ensures that the large-size tires receive a sufficient physical inflation and deformation cycle.

[0050] The analysis server sets the pass / fail index value to 100 Newtons, which limits the maximum physical pass / fail limit for the peak-to-peak value of the radial force fluctuation in the tire. The analysis server sets the correction scaling factor to 0.1 Newtons per second, which converts the mechanical deviation into a time compensation value; the time compensation value participates in the numerical superposition calculation of the closed-loop parameters.

[0051] The extreme value alarm boundary is set to 30 Newtons by the microprocessor. This 30-Newton extreme value alarm boundary indicates that the tire manufacturing process is in an abnormal physical state. The microprocessor generates an abnormal shutdown command based on this 30-Newton extreme value alarm boundary. The computing node sets the tolerance value used for model training to 0.01. A tolerance value of 0.01 indicates the stopping condition corresponding to the convergence of the loss function. The stopping condition ensures the accuracy of the predicted evaluation values ​​output by the quality inspection model.

[0052] Secondly, the present invention provides a system for improving tire radial runout and radial force performance, applied to the method for improving tire radial runout and radial force performance as described above, comprising: The information receiving module is used to receive the specification parameters of the tires to be produced sent by the manufacturing scheduling terminal; The instruction generation module is used to extract parameter values ​​from the specification parameter information of the tire to be produced, and use the parameter values ​​to generate corresponding pre-forming control instructions and final forming control instructions. The pre-forming control instructions include pre-forming position parameters, and the final forming control instructions include inflation pressure parameters, inflation time parameters, and width positioning speed parameters. The pre-design control module is used to send the pre-design control command to the production control system, instructing the production control system to control the molding equipment to be run to process the die to be processed according to the pre-design position parameters, so as to obtain the initial unfolded die. The shaping control module is used to send the shaping control command to the production control system, instructing the production control system to control the molding equipment to be run to inject gas into the initially stretched tire barrel according to the inflation pressure parameter and the inflation time parameter, and to adjust the moving speed of the molding equipment to be run according to the width positioning speed parameter, and output the shaped tire.

[0053] In this embodiment of the invention: The manufacturing scheduling terminal sends the specification parameters of the tires to be produced to the production control system. These specifications include tire section width data, rim nominal diameter data, and tire ply identification code. The data parsing module within the production control system extracts the dimensional values ​​from the specifications, which are then mapped to the rim nominal diameter data. The production control system then inputs these dimensional values ​​into a logic comparator, which performs a logical size comparison with pre-written dimension boundary values. These dimension boundary values ​​represent the physical dimensional threshold between small commercial vehicle tires and large heavy-duty truck tires. The logic comparator outputs a first comparison result based on the comparison operation. When the first comparison result indicates that the dimensional value is less than or equal to the preset dimension boundary value, the production control system retrieves a pre-established standard shaping value and a first compensation increment. The standard shaping value represents the basic bead spacing parameter of the molding equipment, and the first compensation increment represents the forward stroke elongation. The underlying arithmetic logic unit adds the standard shaping value and the first compensation increment, outputting a first pre-shaped position parameter. The first pre-formed position parameter is physically characterized as the absolute coordinate position of the forming head during the pre-formed stage, used to provide the additional stretching stroke required for small-sized tires.

[0054] The production control system converts the predetermined control command containing the first predetermined position parameter into a fieldbus communication message and sends the fieldbus communication message to the molding equipment to be operated. Simultaneously, the production control system sends a digital high-level inflation start signal to the molding equipment. Upon receiving the inflation start signal, the molding equipment triggers the pilot solenoid valve at the bottom of the equipment, opening the inflation control valve and allowing high-pressure compressed air to flow into the internal physical cavity of the tire cylinder. The tire cylinder undergoes radial expansion deformation after receiving the high-pressure gas injection. A displacement detection node fixedly installed on the side wall of the molding equipment frame uses an integrated laser ranging component to scan the expansion profile of the outer surface of the tire cylinder in real time and converts the absolute displacement of the outer surface expansion profile into an analog voltage signal. This analog voltage signal is sent to the production control system as real-time tire cylinder expansion displacement data. The production control system uses a subtractor to perform a real-time subtraction operation between the first predetermined position parameter and the real-time tire cylinder expansion displacement data, continuously outputting the dynamically changing displacement deviation value, and inputting the displacement deviation value to the zero-crossing detection circuit. When the zero-crossing detection circuit determines that the displacement deviation is exactly zero, the production control system sends an inflation stop signal with a level reversal to the inflation control valve. The inflation control valve immediately cuts off the air intake circuit and locks the internal air pressure, stopping the expansion of the tire tube to be processed and generating an initial stretched tire tube with a physical shape that precisely matches the first predetermined position parameters.

[0055] After the initial expanded shape of the die is constructed, the production control system continues to execute the parsing of the shaping control instructions and the hardware scheduling tasks, retrieving the corresponding inflation pressure parameters, inflation time parameters, and width positioning speed parameters based on the dimensional values. The inflation pressure parameter is physically mapped to the target set pressure of the proportional pressure reducing valve, the inflation time parameter is physically mapped to the holding time limit of the inflation control valve, and the width positioning speed parameter is physically mapped to the rotor angular velocity limit of the servo drive motor of the molding equipment to be operated. The production control system converts all inflation pressure parameters, inflation time parameters, and width positioning speed parameters into low-level electrical control words. The electrical control words drive the servo drive motor to rotate according to the angular velocity corresponding to the width positioning speed parameter, causing the two machine heads of the molding equipment to move synchronously towards the center position. At the same time, the inflation control valve continuously injects gas into the interior of the initial expanded shape die according to the air pressure threshold limited by the inflation pressure parameter and the holding time limited by the inflation time parameter. The tire head's approach and movement are synchronized with the internal inflation process in time. The initially stretched tire tube deforms under the combined action of the mechanical compression from the tire head and the internal air pressure. The outer surface of the initially stretched tire tube fits evenly with the surrounding suspended crown belt assembly, ultimately producing a finished tire.

[0056] After finalization, the data acquisition node sends actual process execution data to the analysis server via an industrial Ethernet interface. This data includes the actual inflation pressure recorded by a digital pressure sensor deployed within the air supply pipeline, and the actual inflation time recorded by the timing register of the programmable logic controller. The analysis server concatenates the actual inflation pressure and inflation time into a one-dimensional input tensor and feeds this input tensor into the input layer of a pre-trained, converged quality inspection model. The quality inspection model uses a feedforward neural network architecture to perform matrix multiplication and nonlinear activation mapping on the input tensor, outputting a processing quality assessment value. This value is specifically represented as the predicted peak-to-peak value of the tire's radial force fluctuation. The analysis server uses a subtractor to subtract a pre-set pass / fail index value from the processing quality assessment value, outputting a deviation with a sign attribute. When the deviation is greater than zero, the analysis server multiplies the deviation by a pre-established correction ratio coefficient, outputting a parameter correction compensation. This compensation is directly added to the inflation pressure and inflation time parameters for the corresponding specifications in the next production batch. The closed-loop parameter update flow effectively corrects the internal air pressure and inflation holding time, dynamically compensates for the internal stress concentration caused by uneven tire stretching, and adjusts the radial runout and radial force physical properties of the tire after shaping and processing.

Claims

1. A method for improving tire radial runout and radial force performance, characterized in that, include: Receive specification parameter information of the tires to be produced sent by the manufacturing scheduling terminal; Extract parameter values ​​from the specification parameter information of the tire to be produced, and use the parameter values ​​to generate corresponding pre-forming control instructions and final forming control instructions. The pre-forming control instructions include pre-forming position parameters, and the final forming control instructions include inflation pressure parameters, inflation time parameters, and width positioning speed parameters. The predetermined control command is sent to the production control system, which instructs the production control system to control the molding equipment to be operated to process the die to be processed according to the predetermined position parameters, so as to obtain the initial stretched die shape. The shaping control command is sent to the production control system, which instructs the production control system to control the molding equipment to be run to inject gas into the initially stretched tire barrel according to the inflation pressure parameter and the inflation time parameter, and to adjust the moving speed of the molding equipment to be run according to the width positioning speed parameter, so as to output the shaped tire.

2. The method for improving tire radial runout and radial force performance according to claim 1, characterized in that, The step of extracting parameter values ​​from the specification parameter information of the tire to be produced, and using the parameter values ​​to generate corresponding pre-design control commands and final design control commands, includes: Extract the dimension values ​​from the specification parameters of the tire to be produced; The size value is compared with the preset size boundary value, and the first comparison result is output. When the first comparison result indicates that the size value is less than or equal to the preset size boundary value, the pre-established standard shaping value and the first compensation increment are retrieved, and the standard shaping value and the first compensation increment are added to obtain the first pre-shaped position parameter. When the first comparison result indicates that the size value is greater than the preset size boundary value, the head width value of the molding equipment to be run and the second compensation reduction are extracted, and the head width value and the second compensation reduction are subtracted to obtain the second pre-formed position parameter. The first or the second predetermined position parameter is encapsulated into the predetermined control instruction to generate the predetermined position parameter.

3. The method for improving tire radial runout and radial force performance according to claim 1, characterized in that, The step of extracting parameter values ​​from the specification parameter information of the tire to be produced, and using the parameter values ​​to generate corresponding pre-design control commands and final design control commands, includes: Extract the dimension values ​​from the specification parameters of the tire to be produced; The size value is compared with the preset size boundary value, and a second comparison result is output. When the second comparison result indicates that the size value is less than or equal to the preset size boundary value, the pre-established low-pressure value range is retrieved, the center value within the low-pressure value range is extracted, and the center value is set as the inflation pressure parameter. When the second comparison result indicates that the size value is greater than the preset size boundary value, the pre-established high pressure value range is retrieved, the center value within the high pressure value range is extracted, and the center value is set as the inflation pressure parameter. The value contained in the high pressure value range is greater than the value contained in the low pressure value range.

4. The method for improving tire radial runout and radial force performance according to claim 3, characterized in that, The step of extracting parameter values ​​from the specification parameter information of the tire to be produced, and generating corresponding pre-design control commands and finalization control commands using the parameter values, further includes: When the second comparison result indicates that the size value is less than or equal to the preset size boundary value, the first inflation time data corresponding to the low pressure value range is extracted, the first inflation time data is written into the shaping control command, and the inflation time parameter is generated. When the second comparison result indicates that the size value is greater than the preset size boundary value, the second inflation time data corresponding to the high pressure value range is extracted, the second inflation time data is written into the shaping control command, and the inflation time parameter is generated. The time value contained in the second inflation time data is greater than the time value contained in the first inflation time data.

5. The method for improving tire radial runout and radial force performance according to claim 4, characterized in that, The step of extracting parameter values ​​from the specification parameter information of the tire to be produced, and using the parameter values ​​to generate corresponding pre-design control commands and final design control commands, includes: Extract the model identification characters of the molding equipment to be operated; The model identification character is used to query a pre-established speed configuration database to read the basic speed range associated with the model identification character; Extract the tire diameter value from the specification parameters of the tire to be produced; Divide the highest speed value in the basic speed range by the tire diameter value to obtain the speed attenuation coefficient; The target moving speed is obtained by multiplying the speed attenuation coefficient by a pre-set proportional constant, and then subtracting the product value from the highest speed value in the basic speed range. The target moving speed is written into the shaping control command to generate the width positioning speed parameter.

6. The method for improving tire radial runout and radial force performance according to claim 5, characterized in that, The instruction to the production control system to control the molding equipment to be operated to process the die to be processed according to the predetermined position parameters to obtain the initial unfolded die, including: Send an inflation start signal to the production control system, instructing the production control system to open the inflation control valve; The device receives real-time tire cylinder expansion displacement data sent by a displacement detection node, which is installed inside the molding equipment to be operated. The displacement deviation value is obtained by subtracting the predetermined position parameter from the real-time tire tube expansion displacement data. When the displacement deviation value is equal to zero, an inflation shutdown signal is sent to the production control system, instructing the production control system to close the inflation control valve and lock the air circuit, and output the initial stretched tire tube.

7. The method for improving tire radial runout and radial force performance according to claim 6, characterized in that, After the tires have been shaped and manufactured, the following steps are also included: Receive actual process execution data sent by the data acquisition node, wherein the actual process execution data includes the actual inflation pressure and actual inflation time of the molding equipment to be operated during the processing. The actual inflation pressure and the actual inflation time are concatenated to form an input tensor. The input tensor is then input into the input layer of the quality detection model. Matrix multiplication and activation function operations are performed through the hidden layer nodes, and the processing quality evaluation value is output by the output layer. Subtract the pre-set pass / fail index value from the processing quality assessment value to obtain the deviation. When the deviation is greater than zero, the pre-established correction ratio coefficient is multiplied by the deviation to obtain the parameter correction compensation amount; The parameter correction compensation amount is numerically superimposed with the inflation pressure parameter and the inflation time parameter to complete the parameter update for the next production batch.

8. The method for improving tire radial runout and radial force performance according to claim 7, characterized in that, Before concatenating the actual inflation pressure and the actual inflation time into an input tensor, the method further includes: Read the historical actual inflation pressure and historical actual inflation time, and concatenate them to form an input feature matrix; Read the tire radial force physical detection data corresponding to the historical actual inflation pressure and the historical actual inflation time, and convert it into a real label vector; The input feature matrix is ​​fed into the initial neural network to perform forward propagation, and the predicted evaluation value is output. Subtract the predicted evaluation value from the true label vector to obtain the error value; The error value is substituted into the gradient descent algorithm to calculate the gradient values ​​of the network layers of the initial neural network. The weight matrix and bias terms of the initial neural network are then updated in reverse based on the gradient values ​​of the network layers. When the error value is less than or equal to the preset tolerance value, the update of the weight matrix and the bias term is stopped, and the trained initial neural network is solidified into the quality detection model.

9. The method for improving tire radial runout and radial force performance according to claim 7, characterized in that, After subtracting the preset pass index value from the processing quality assessment value to obtain the deviation, the method further includes: The deviation is compared with the preset extreme value alarm boundary value, and the abnormal monitoring result is output. When the abnormal monitoring result indicates that the deviation is greater than the extreme value alarm boundary value, an abnormal shutdown command is generated; The abnormal shutdown command is sent to the production control system, which instructs the production control system to cut off the power supply circuit of the molding equipment to be operated, and sends the actual inflation pressure and the actual inflation time to the monitoring terminal device for display.

10. A system for improving tire radial runout and radial force performance, applied to the method for improving tire radial runout and radial force performance as described in any one of claims 1 to 9, characterized in that, include: The information receiving module is used to receive the specification parameters of the tires to be produced sent by the manufacturing scheduling terminal; The instruction generation module is used to extract parameter values ​​from the specification parameter information of the tire to be produced, and use the parameter values ​​to generate corresponding pre-forming control instructions and final forming control instructions. The pre-forming control instructions include pre-forming position parameters, and the final forming control instructions include inflation pressure parameters, inflation time parameters, and width positioning speed parameters. The pre-design control module is used to send the pre-design control command to the production control system, instructing the production control system to control the molding equipment to be run to process the die to be processed according to the pre-design position parameters, so as to obtain the initial unfolded die. The shaping control module is used to send the shaping control command to the production control system, instructing the production control system to control the molding equipment to be run to inject gas into the initially stretched tire barrel according to the inflation pressure parameter and the inflation time parameter, and to adjust the moving speed of the molding equipment to be run according to the width positioning speed parameter, and output the shaped tire.

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