Method, device and equipment for improving dynamic balance uniformity based on static balance value

Abstract

The invention provides a method, device and equipment for improving dynamic balance uniformity based on a static balance numerical value, and the method comprises the steps: determining the static balance angle change trend of a tire half part, and determining an angle fluctuation period through the static balance angle change trend; the incidence relation between the tire body drum perimeter and the angle fluctuation period and the half-part fluctuation period is input, and the half-part fluctuation period is obtained; performing troubleshooting and maintenance on the tire half part through the half part fluctuation period, and determining a static balance value of the tire half part after troubleshooting and maintenance; and adjusting the dynamic balance uniformity of the half parts of the tire based on the static balance value, determining the influence of the half parts on static balance, and improving the dynamic balance uniformity based on the static balance value, so that the half parts influencing the dynamic balance uniformity are successfully positioned.

Description

Technical Field

[0001] The present invention relates to the technical field of tire detection, and in particular to a method, device and equipment for improving dynamic balance uniformity based on static balance values. Background Art

[0002] By analyzing the raw data of dynamic balancing uniformity testing, we can check whether the dynamic balancing uniformity angles are concentrated. If so, we can adjust the molding and vulcanization positioning. We can also use vector analysis to adjust the positioning of the half parts to offset the poor dynamic balancing uniformity caused by the superposition of vectors between the half parts. We can also use vector analysis to calculate the influence of each half part and make effective improvements through on-site problem investigation.

[0003] However, when the dynamic balancing uniformity angle is not concentrated, vector analysis cannot be performed and it is impossible to determine which half of the component affects the dynamic balancing uniformity quality. Summary of the Invention

[0004] The present invention provides a method, device and equipment for improving dynamic balance uniformity based on static balance numerical values, so as to solve the defect in the prior art that poor dynamic balance uniformity affects vector analysis.

[0005] In a first aspect, the present invention provides a method for improving dynamic balance uniformity based on static balance numerical values, comprising: Determining a static balance angle variation trend of a tire half component, and determining an angle fluctuation period based on the static balance angle variation trend; Inputting the carcass drum circumference and the correlation between the angle fluctuation period and the half-component fluctuation period to obtain the half-component fluctuation period; Performing troubleshooting and repair on the tire half component according to the half component fluctuation cycle, and determining a static balance value of the tire half component after the troubleshooting and repair; Based on the static balance value, the dynamic balance uniformity of the tire half is adjusted.

[0006] According to a method for improving dynamic balance uniformity based on static balance values ​​provided by the present invention, determining a static balance angle variation trend of a tire half component and determining an angle fluctuation period based on the static balance angle variation trend include: Collect static balance angle data of tire half components during static balance test; Based on the static balance angle data, an angle-time curve is drawn to determine a change trend of the static balance angle; Identify the periodic characteristics in the static balance angle change trend and determine the angle fluctuation period.

[0007] According to a method for improving dynamic balance uniformity based on static balance numerical values ​​provided by the present invention, the input carcass drum circumference and the correlation relationship between the angle fluctuation period and the half-component fluctuation period are obtained to obtain the half-component fluctuation period, including: Determine the ratio of the carcass drum circumference to the angular fluctuation period; The sum or difference between the carcass drum circumference and the ratio is calculated as a half-component fluctuation period.

[0008] According to a method for improving dynamic balance uniformity based on static balance values ​​provided by the present invention, troubleshooting and repairing the tire half components according to the half component fluctuation cycle includes: Use time domain synchronous alignment to match the time and space periods of the semi-component fluctuation period with the vulcanization process parameters; determining a fault mode based on the period matching diagnostic rule; Based on the fault mode, fault repair is performed through dynamic pressure compensation and intelligent vulcanization pressure regulation.

[0009] According to a method for improving dynamic balance uniformity based on static balance numerical values ​​provided by the present invention, determining a fault mode based on the period matching diagnostic rule includes: When periodic fluctuations of a preset length are detected, an abnormal cord tension warning is triggered; When an abnormality is detected in the preset period of vulcanization pressure, an abnormality warning of the mold exhaust system is triggered; When it is detected that the fluctuation amplitude of the half-component fluctuation period is greater than the preset amplitude and the phase lags behind the preset angle, a material creep fault warning is triggered.

[0010] According to a method for improving dynamic balance uniformity based on static balance values ​​provided by the present invention, the method performs fault repair based on the fault mode through dynamic pressure compensation and intelligent vulcanization pressure regulation, including: During the forming stage, the piezoelectric ceramic array outputs anti-phase pressure waves to offset cord tension fluctuations. During the vulcanization stage, the internal pressure is dynamically adjusted to suppress carcass deformation caused by abnormal cord tension, completing the repair of abnormal cord tension. By injecting high-frequency micro-pulses to clear blocked air paths and dynamically adjusting the pressure holding slope based on exhaust efficiency to balance the gas exhaust rate in the mold cavity, abnormal mold exhaust system maintenance can be completed. In the forming stage, a reverse creep waveform is applied through a piezoelectric actuator, and in the vulcanization stage, variable temperature and pressure control is used to achieve dynamic compensation control and complete the repair of material creep faults.

[0011] According to the present invention, a method for improving dynamic balance uniformity based on a static balance value is provided, wherein the method adjusts the dynamic balance uniformity of the tire half component based on the static balance value, comprising: Inputting the static balance data into a dynamic balance adjustment model and outputting dynamic uniformity data, wherein the dynamic balance adjustment model is constructed based on centrifugal force distribution and modal coupling effect; Based on the tire specifications, a dynamic weight coefficient is determined to adjust the dynamic uniformity data.

[0012] In a second aspect, the present invention provides a device for improving dynamic balance uniformity based on static balance values, comprising: a determination module, configured to determine a static balance angle variation trend of a tire half component, and determine an angle fluctuation period based on the static balance angle variation trend; An association module is used to input the association relationship between the carcass drum circumference and the angle fluctuation period and the half-component fluctuation period to obtain the half-component fluctuation period; a maintenance module, configured to perform troubleshooting and maintenance on the tire half component according to the half component fluctuation cycle, and determine a static balance value of the tire half component after the troubleshooting and maintenance; An adjustment module is used to adjust the dynamic balance uniformity of the tire half component based on the static balance value.

[0013] In a third aspect, the present invention also provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, it implements any of the above-described methods for improving dynamic balance uniformity based on static balance values.

[0014] In a fourth aspect, the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any of the above-described methods for improving dynamic balance uniformity based on static balance values.

[0015] In a fifth aspect, the present invention further provides a computer program product, comprising a computer program, which, when executed by a processor, implements any of the above methods for improving dynamic balance uniformity based on static balance values.

[0016] The present invention provides a method, device and equipment for improving dynamic balance uniformity based on static balance values. The method comprises the following steps: determining the static balance angle variation trend of a tire half-component and determining the angle fluctuation period based on the static balance angle variation trend; inputting the correlation between the tire drum circumference and the angle fluctuation period and the half-component fluctuation period to obtain the half-component fluctuation period; performing troubleshooting and repair on the tire half-component based on the half-component fluctuation period, and determining the static balance value of the tire half-component after the troubleshooting and repair; adjusting the dynamic balance uniformity of the tire half-component based on the static balance value; determining the influence of the half-component on the static balance, and improving the dynamic balance uniformity based on the static balance value, thereby successfully locating the half-component that affects the dynamic balance uniformity. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction is given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0018] Figure 1 1 is a flow chart of a method for improving dynamic balance uniformity based on static balance values ​​provided in this embodiment; Figure 2 Schematic diagram of the structure of the device for improving dynamic balance uniformity based on static balance values ​​provided in this embodiment; Figure 3 Schematic diagram of the structure of the electronic device provided in this embodiment. DETAILED DESCRIPTION

[0019] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0020] Figure 1 3 is a flow chart of the method for improving dynamic balance uniformity based on static balance values ​​provided in this embodiment.

[0021] like Figure 1 As shown, the method for improving dynamic balance uniformity based on static balance numerical value provided by the embodiment of the present invention mainly includes the following steps: 101. Determine the static balance angle change trend of the tire half component, and determine the angle fluctuation period based on the static balance angle change trend.

[0022] Specifically, tire semis refer to semi-finished components during tire production, such as the carcass, belt, and bead. Their static balance characteristics directly impact the uniformity and high-speed performance of the final tire. The static balance angle refers to the imbalance angle caused by uneven mass distribution during the rotation of the semis, reflecting the eccentricity of the mass.

[0023] The data collection of static balance angle includes installing a high-precision balancing machine at the end of the semi-component forming process to collect the static balance angle θ and imbalance m of each semi-finished product in real time; simultaneously deploying laser displacement sensors to monitor thickness, encoders to record rotation angle and speed, and temperature and humidity sensors to monitor environmental parameters, with a collection frequency of one set of data per piece.

[0024] The 3σ rule was used to eliminate abnormal data, and normalization processing was performed to eliminate specification differences. A curve of θ changing over time was plotted to identify fluctuation trends. The correlation between θ and process parameters was calculated using the Pearson coefficient, and a regression model was established to verify significance. Data was visualized in real time using tools such as Tableau, and a ±5° angle offset warning was set to determine the trend of static balance angle changes.

[0025] Use Fourier transform to convert the θ sequence into the frequency domain, and calculate the period T = 1 / f based on the peak frequency; or identify the significant lag order k through the autocorrelation function, and calculate the period T = k × sampling interval based on the sampling interval; compare the production process nodes to verify the rationality of the period and complete the determination of the angle fluctuation period.

[0026] When θ exceeds ±3°, the feedforward control algorithm automatically adjusts the subsequent half-component fitting angle; adjusts the winding speed based on real-time trends; optimizes the matching of the rubber mixing cycle with the angle fluctuation cycle, and improves the real-time correction quality distribution of the tooling.

[0027] 102. Input the relationship between the carcass drum circumference and the angle fluctuation period and the half-component fluctuation period to obtain the half-component fluctuation period.

[0028] Specifically, the ratio of the carcass drum circumference to the angle fluctuation period is determined, and the sum or difference between the carcass drum circumference and the ratio is calculated as the half-component fluctuation period. The carcass drum circumference can be measured with millimeter accuracy using a high-precision tape measure or laser rangefinder.

[0029] 103. Perform troubleshooting and repair on the tire half-component through the half-component fluctuation cycle, and determine the static balance value of the tire half-component after the troubleshooting and repair.

[0030] After determining the half-component fluctuation period, the tire half-component fault can be identified based on the half-component fluctuation period and repairs can be initiated. For example, a calculated fluctuation period of approximately 1450mm revealed a 0.06mm variation in cord thickness across the width of the fiber calendering process. This was corrected by adjusting the axis crossover, resulting in a decrease in the mean static balance value of approximately 100-150g / cm. When the half-component fluctuation period is approximately 1350mm, the primary cause is periodic fluctuations in the inner liner thickness. The static balance values ​​of the repaired tire half-component are then calculated. If the static balance values ​​fluctuate significantly, the static balance angles are not uniform, and there is no regular pattern, adjustments can be made to the tread or sidewall fluctuations in Area A, or uneven stretching during curling. If the static balance values ​​vary significantly between molding equipment and the static balance angles are uniform, adjustments can be made to the length and stretching uniformity of the molded half-component. Therefore, the static balance values ​​of the tire half-component can be stabilized after repairs.

[0031] 104. Based on the static balance value, adjust the dynamic balance uniformity of the tire half components.

[0032] Good static balance values ​​are essential for dynamic balance uniformity. Therefore, dynamic balance uniformity can only be guaranteed if static balance meets the required standards. For example, for low-speed rotors (such as fan blades), prioritizing static balance values ​​is crucial; this generally satisfies dynamic balance uniformity requirements. For high-speed rotors or those with large aspect ratios (such as motor shafts and turbine rotors), static balance correction should be performed first to reduce basic imbalance, followed by dynamic balance testing to eliminate even imbalance (moment of inertia) and ensure uniformity during rotation. Specifically for automotive wheels, static balance testing (with counterweight correction) is required before dynamic balance testing to prevent vibration during high-speed driving.

[0033] Therefore, the dynamic balance uniformity can be adjusted according to the static balance value to achieve improvement of the dynamic balance uniformity.

[0034] Furthermore, the present embodiment provides a method for determining a static balance angle variation trend of a tire half component and determining an angle fluctuation period based on the static balance angle variation trend, including: Collect static balance angle data for a tire half during a static balance test. Stably mount the tire half to be tested on the rotating axis of the static balance tester, ensuring it is securely mounted and does not loosen or shift during rotation. Failure to do so will result in significant measurement errors. Start the static balance tester and set an appropriate rotational speed. Generally, this simulates a typical tire speed in actual driving, such as 600-1000 rpm. Allow the tire half to rotate steadily at this speed for a period of time, typically 3-5 minutes, to allow it to reach a stable operating state. During the rotation of the tire half, the data acquisition device begins recording the static balance angle data output by the static balance tester at regular intervals (e.g., 10 times per second). The collected data is stored in a time series format, such as "timestamp - static balance angle," to facilitate subsequent analysis and processing.

[0035] Based on the static balance angle data, an angle-time curve is plotted to determine the trend of static balance angle changes. The collected data is imported into computer data analysis software. First, the data is checked to remove obviously erroneous or abnormal data points. For example, if the static balance angle at a data point suddenly shows an extremely large or extremely small value, differs significantly from the preceding and following data, and does not conform to the normal fluctuation range, then the data point is considered an outlier and deleted. Next, the data is smoothed using a moving average method. For example, the average of five consecutive data points can be calculated and used to replace those five data points. This reduces random fluctuations in the data, making the data curve smoother and easier to observe. Using the graphing function of the data analysis software, a curve is plotted showing the static balance angle changing over time, with time as the horizontal axis and the static balance angle as the vertical axis. By observing this curve, the approximate changes in the static balance angle can be visually analyzed, such as whether it is increasing, decreasing, or fluctuating.

[0036] To more accurately determine the trend of the static balance angle, a curve fitting method can be used. An appropriate mathematical model, such as a linear regression model, a quadratic function model, or a more complex polynomial model, is selected to fit the plotted curve. The trend of the static balance angle can be determined by calculating the slope or derivative of the fitted curve. A positive slope indicates an upward trend in the static balance angle; a negative slope indicates a downward trend. If the slope fluctuates within a certain range and approaches zero, the static balance angle is in a relatively stable state of fluctuation.

[0037] Identify periodic characteristics in the static balance angle trend and determine the angle fluctuation period. Based on the analysis of the static balance angle trend, carefully observe the angle-time curve to identify recurring waveforms or patterns. These recurring patterns may represent the angle fluctuation period. To more accurately identify periodic characteristics, spectral analysis can be used to convert the time series data into the frequency domain for analysis. In the frequency domain plot, the frequency corresponding to the peak is the primary fluctuation frequency of the data, and its reciprocal is the angle fluctuation period. By calculating the static balance angle changes over multiple cycles, check whether they exhibit similar patterns and amplitudes. Additionally, compare the cycle data of tire half components from different batches or models to examine any differences in consistency or regularity. If the cycle is verified to consistently reflect the static balance angle fluctuation, it can be determined to be the tire half component's angle fluctuation period.

[0038] Furthermore, based on the above embodiment, this embodiment uses the half-component fluctuation cycle to perform fault detection and maintenance on the tire half-component, specifically including: (1) Use time domain synchronization to match the time and space periods of the half-component fluctuation period with the vulcanization process parameters. Unify the half-component fluctuation period and the vulcanization process parameters with a unified clock signal (such as the PTP protocol) to ensure that the time base of multi-source data is consistent. Then perform feature period extraction: perform wavelet transform on the half-component fluctuation signal to extract the dominant periodic component (such as the belt layer seam period = tire circumference / number of seams). Perform spectrum analysis on the vulcanization pressure curve to identify the mold exhaust period (typical value 3~5 seconds) and pressure oscillation frequency. Perform time and space alignment: Time domain alignment, using the dynamic time warping (DTW) algorithm, matches the fluctuation signal of the molding stage with the vulcanization parameter timing to compensate for process delays (such as the transmission time from molding to vulcanization). Spatial mapping, establish a tire expansion model, and map the half-component fluctuation position (such as the 30cm period of the cord) to the corresponding area of ​​the vulcanization mold (such as the cavity segment number). If the fluctuation period of a half-part (e.g., a 1.2m seam) is detected as an integer multiple of the vulcanization pressure period (e.g., 4 seconds), the vulcanization heating rate is adjusted to synchronize the pressure peak with the seam reaching the mold vent. In areas with larger fluctuations (e.g., seams), the mold temperature is increased by 2-3°C to compensate for material flow differences.

[0039] (2) Determine the fault mode based on the cycle matching diagnostic rule. When a periodic fluctuation of a preset length is detected, a cord tension abnormality warning is triggered; when a periodic abnormality of a preset length of vulcanization pressure is detected, a mold exhaust system abnormality warning is triggered; when the fluctuation amplitude of the half-component fluctuation cycle is detected to be greater than the preset amplitude and the phase lag is a preset angle, a material creep fault warning is triggered.

[0040] (3) Corresponding to the above-mentioned fault mode, based on the fault mode, fault repair is performed through dynamic pressure compensation and intelligent vulcanization pressure adjustment. In the forming stage, the piezoelectric ceramic array outputs an anti-phase pressure wave (frequency matches the cord fluctuation period, amplitude attenuation coefficient β = 0.7) to offset the cord tension fluctuation. In the vulcanization stage, the internal pressure is dynamically adjusted (pressure fluctuation tolerance ± 0.3MPa) to suppress the carcass deformation caused by abnormal cord tension, and the abnormal cord tension repair is completed. After compensation, the radial force fluctuation is re-measured (RFV < 40N is qualified), and unqualified parts automatically trigger process parameter self-optimization (Q-learning adjusts the compensation coefficient k and PID parameters).

[0041] By injecting high-frequency micropulses (20Hz±5Hz, amplitude 0.2MPa) to clear blocked air paths, and dynamically adjusting the holding pressure slope (ΔP / Δt = 0.05-0.2MPa / s) based on exhaust efficiency to balance the gas exhaust rate within the mold cavity, the mold exhaust system can be repaired. This pulse perturbation breaks through the traditional constant-pressure vulcanization model, enabling self-repair of the exhaust system, effectively reducing the standard deviation of pressure fluctuations, and significantly reducing the tread bubble defect rate.

[0042] During the molding phase, a piezoelectric actuator applies a reverse creep waveform (with an amplitude attenuation ratio of 1:0.6 and a frequency matching the material's relaxation characteristics). During the vulcanization phase, variable temperature and pressure control (a heating rate of 2°C / min combined with a 0.15MPa step-by-step pressurization) is used to achieve dynamic compensation and repair material creep faults. This advanced creep compensation, achieved by inverting the material's time-varying properties, overcomes the limitations of traditional static molding and effectively improves the material's rebound rate and tread dimensional stability after compensation.

[0043] Furthermore, based on the above embodiment, this embodiment adjusts the dynamic balance uniformity of the tire half-component based on the static balance value, including: inputting static balance data into a dynamic balance adjustment model, and outputting dynamic uniformity data, the dynamic balance adjustment model is constructed based on centrifugal force distribution and modal coupling effect; based on the tire specifications, determining a dynamic weight coefficient to adjust the dynamic uniformity data.

[0044] Specifically, after the fault repair is completed, a high-precision static balancing machine is used to install the tire half components (such as the tire blank and bead assembly) on the rotating shaft to ensure accurate axial positioning and complete the precise collection of static balance values. The static balance data includes: imbalance (g·mm), phase angle (°), and compensation radius (mm).

[0045] Then the dynamic balance adjustment model calculation is performed. First, the centrifugal force distribution is calculated, and then the modal coupling effect correction is performed: combined with the tire stiffness matrix, the transmission coefficient of the static balance adjustment to the radial / lateral vibration is calculated, and a dynamic weight factor (such as 0.7) is introduced to adjust the proportion of the influence of static balance compensation on dynamic balance.

[0046] Finally, dynamic uniformity data is output, predicting dynamic balancing indicators including radial force fluctuation (RFV) and lateral force fluctuation (LFV). If the predicted values ​​exceed the limits, feedback is provided with suggestions for compensation position and quality.

[0047] The weighting factor quantifies the impact of static balance adjustments on dynamic balance (e.g., 0.6 indicates a 60% improvement in dynamic balance from a static balance correction). Specification-related parameters include: aspect ratio (lower aspect ratio tires have a stronger dynamic effect, so the weighting factor is reduced to 0.5-0.7); number of plies (higher plies increase stiffness, increasing the weighting factor to 0.7-0.9); and speed rating (high-speed tires require more stringent dynamic adjustments, reducing the weighting factor by 10-20%). After adjusting the weighting factor, dynamic uniformity data is output.

[0048] Based on the same general inventive concept, the present invention also protects a device for improving dynamic balance uniformity based on static balance numerical values. The device for improving dynamic balance uniformity based on static balance numerical values ​​described below and the method for improving dynamic balance uniformity based on static balance numerical values ​​described above can be referenced to each other.

[0049] Figure 2 Schematic diagram of the structure of the device for improving dynamic balance uniformity based on static balance values ​​provided in this embodiment.

[0050] like Figure 2 As shown, this embodiment provides a device for improving dynamic balance uniformity based on static balance values, including: Determination module 201, for determining the static balance angle variation trend of the tire half component, and determining the angle fluctuation period based on the static balance angle variation trend; An association module 202 is configured to input an association relationship between the carcass drum circumference and the angle fluctuation period and the half-component fluctuation period to obtain the half-component fluctuation period; A maintenance module 203 is configured to perform troubleshooting and repair on the tire half-component according to the half-component fluctuation cycle, and determine a static balance value of the tire half-component after the troubleshooting and repair; The adjustment module 204 is configured to adjust the dynamic balance uniformity of the tire half components based on the static balance value.

[0051] Figure 3 Schematic diagram of the structure of the electronic device provided in this embodiment.

[0052] like Figure 3 As shown, the electronic device may include: a processor 310, a communications interface 320, a memory 330, and a communications bus 340. The processor 310, the communications interface 320, and the memory 330 communicate with each other via the communications bus 340. The processor 310 may invoke logic instructions in the memory 330 to execute a method for improving dynamic balance uniformity based on static balance values. The method includes: determining a static balance angle variation trend of a tire half-component, and determining an angle fluctuation period based on the static balance angle variation trend; inputting a correlation between the tire drum circumference and the angle fluctuation period and the half-component fluctuation period to obtain a half-component fluctuation period; performing troubleshooting and repair on the tire half-component based on the half-component fluctuation period, and determining a static balance value of the tire half-component after the troubleshooting and repair; and adjusting the dynamic balance uniformity of the tire half-component based on the static balance value.

[0053] Furthermore, the logic instructions in the aforementioned memory 330 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product, stored in a storage medium, includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, a mobile hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0054] On the other hand, the present invention also provides a computer program product, which includes a computer program, and the computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the method for improving dynamic balance uniformity based on static balance values ​​provided by the above methods, the method including: determining the static balance angle change trend of the tire half component, and determining the angle fluctuation period through the static balance angle change trend; inputting the tire drum circumference and the angle fluctuation period into the half component fluctuation period to obtain the half component fluctuation period; performing troubleshooting and maintenance on the tire half component through the half component fluctuation period, and determining the static balance value of the tire half component after the troubleshooting and maintenance; and adjusting the dynamic balance uniformity of the tire half component based on the static balance value.

[0055] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the method for improving dynamic balance uniformity based on static balance values ​​provided by the above-mentioned methods, the method comprising: determining the static balance angle change trend of the tire half component, and determining the angle fluctuation period through the static balance angle change trend; inputting the tire drum circumference and the angle fluctuation period into the correlation relationship of the half component fluctuation period to obtain the half component fluctuation period; performing troubleshooting and repair on the tire half component through the half component fluctuation period, and determining the static balance value of the tire half component after the troubleshooting and repair; and adjusting the dynamic balance uniformity of the tire half component based on the static balance value.

[0056] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0057] Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented using software plus a necessary general-purpose hardware platform, or of course, hardware. Based on this understanding, the essence of the above technical solution, or the portion that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, or an optical disk, and includes a number of instructions for causing a computer device (such as a personal computer, server, or network device) to execute the methods described in each embodiment or certain portions of the embodiments.

[0058] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A method for improving dynamic balance uniformity based on static balance numerical value, characterized in that: include: Determining a static balance angle variation trend of a tire half component, and determining an angle fluctuation period based on the static balance angle variation trend; Inputting the carcass drum circumference and the correlation between the angle fluctuation period and the half-component fluctuation period to obtain the half-component fluctuation period; Performing troubleshooting and repair on the tire half component according to the half component fluctuation cycle, and determining a static balance value of the tire half component after the troubleshooting and repair; Based on the static balance value, the dynamic balance uniformity of the tire half is adjusted.

2. The method for improving dynamic balance uniformity based on static balance numerical value according to claim 1, characterized in that: The determining of the static balance angle variation trend of the tire half component and determining the angle fluctuation period based on the static balance angle variation trend includes: Collect static balance angle data of tire half components during static balance test; Based on the static balance angle data, an angle-time curve is drawn to determine a change trend of the static balance angle; Identify the periodic characteristics in the static balance angle change trend and determine the angle fluctuation period.

3. The method for improving dynamic balance uniformity based on static balance numerical value according to claim 1, characterized in that: The input carcass drum circumference and the correlation between the angle fluctuation period and the half-component fluctuation period are used to obtain the half-component fluctuation period, including: Determine the ratio of the carcass drum circumference to the angular fluctuation period; The sum or difference between the carcass drum circumference and the ratio is calculated as a half-component fluctuation period.

4. The method for improving dynamic balance uniformity based on static balance numerical value according to claim 1, characterized in that: The method of performing troubleshooting and repairing the tire half components through the half component fluctuation cycle includes: Use time domain synchronous alignment to match the time and space periods of the semi-component fluctuation period with the vulcanization process parameters; determining a fault mode based on the period matching diagnostic rule; Based on the fault mode, fault repair is performed through dynamic pressure compensation and intelligent vulcanization pressure regulation.

5. The method for improving dynamic balance uniformity based on static balance numerical value according to claim 4, characterized in that: The determining of the fault mode based on the period matching diagnostic rule includes: When periodic fluctuations of a preset length are detected, an abnormal cord tension warning is triggered; When an abnormality is detected in the preset period of vulcanization pressure, an abnormality warning of the mold exhaust system is triggered; When it is detected that the fluctuation amplitude of the half-component fluctuation period is greater than the preset amplitude and the phase lags behind the preset angle, a material creep fault warning is triggered.

6. The method for improving dynamic balance uniformity based on static balance numerical value according to claim 5, characterized in that: The fault repair is performed based on the fault mode through dynamic pressure compensation and intelligent vulcanization pressure regulation, including: During the forming stage, the piezoelectric ceramic array outputs anti-phase pressure waves to offset cord tension fluctuations. During the vulcanization stage, the internal pressure is dynamically adjusted to suppress carcass deformation caused by abnormal cord tension, completing the repair of abnormal cord tension. By injecting high-frequency micro-pulses to clear blocked air paths and dynamically adjusting the pressure holding slope based on exhaust efficiency to balance the gas exhaust rate in the mold cavity, abnormal mold exhaust system maintenance can be completed. In the forming stage, a reverse creep waveform is applied through a piezoelectric actuator, and in the vulcanization stage, variable temperature and pressure control is used to achieve dynamic compensation control and complete the repair of material creep faults.

7. The method for improving dynamic balance uniformity based on static balance numerical value according to claim 1, characterized in that: The step of adjusting the dynamic balance uniformity of the tire half component based on the static balance value includes: Inputting the static balance data into a dynamic balance adjustment model and outputting dynamic uniformity data, wherein the dynamic balance adjustment model is constructed based on centrifugal force distribution and modal coupling effect; Based on the tire specifications, a dynamic weight coefficient is determined to adjust the dynamic uniformity data.

8. A device for improving dynamic balance uniformity based on static balance numerical value, characterized in that: include: a determination module, configured to determine a static balance angle variation trend of a tire half component, and determine an angle fluctuation period based on the static balance angle variation trend; An association module is used to input the association relationship between the carcass drum circumference and the angle fluctuation period and the half-component fluctuation period to obtain the half-component fluctuation period; a maintenance module, configured to perform troubleshooting and maintenance on the tire half component according to the half component fluctuation cycle, and determine a static balance value of the tire half component after the troubleshooting and maintenance; An adjustment module is used to adjust the dynamic balance uniformity of the tire half component based on the static balance value.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the method for improving dynamic balance uniformity based on static balance values ​​as described in any one of claims 1 to 7 is implemented.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for improving dynamic balance uniformity based on static balance values ​​as claimed in any one of claims 1 to 7 is implemented.

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