Data acquisition system and method for tire shaping

Abstract

The application provides a data acquisition system and method for tire shaping, which comprises a pressure experiment module, a curve construction module, a standard curve acquisition module, a curve fitting module, a curve correction module, an abnormal point determination module and a secondary detection module; the tire after shaping is subjected to a pressure test through the pressure experiment module, the experimental results are subjected to curve construction through the curve construction module, the experimental results of the comparison tire with high matching degree in the same experiment are called out through the standard curve acquisition module, the standard experimental data are subjected to curve construction, the standard curve and the pressure curve under the same experimental conditions are subjected to fitting judgment through the curve fitting module, the fitting results are subjected to curve correction and abnormal point determination, the points with outstanding abnormality are subjected to secondary detection, and if there are still abnormalities, the outstanding points are transmitted to a warning module for warning. The use safety of the tire can be effectively ensured.

Description

Technical Field

[0001] This invention relates to the field of automotive safety technology, and in particular to a data acquisition system and method for tire shaping. Background Technology

[0002] Big data has ushered in an era of large-scale production, sharing, and application of data, bringing tremendous changes to technology and business. The digitization of automotive production has led to a significant increase in the production volume of various components. This has brought about the issue of quality control after component production. Furthermore, with the widespread use of automobiles, tire production is indispensable, and the quality of tire data directly impacts driving safety, especially the accuracy of tire pressure checks after tire molding.

[0003] Therefore, the present invention provides a data acquisition system and method for tire shaping. Summary of the Invention

[0004] This invention provides a data acquisition system and method for tire design, which analyzes tire pressure at different temperatures and possible temperature changes during the testing process to identify anomalies and effectively ensure tire safety.

[0005] This invention provides a data acquisition system for tire shaping, comprising:

[0006] The pressure testing module is used to perform pressure tests at room temperature, high temperature and low temperature on multiple target points on the shaped tire.

[0007] The curve construction module is used to construct room temperature pressure curves, high temperature pressure curves, and low temperature pressure curves based on the pressure test results.

[0008] The standard curve acquisition module is used to obtain the ambient temperature standard curve, high temperature standard curve, and low temperature standard curve of the tires that are highly matched with the tires after the tires have been shaped from the standard tire database.

[0009] The curve fitting module is used to perform a first initial fitting between the room temperature pressure curve and the room temperature standard curve, a second initial fitting between the high temperature pressure curve and the high temperature standard curve, and a third initial fitting between the low temperature pressure curve and the low temperature standard curve.

[0010] The curve correction module is used to correct the first initial fitting result based on the influence parameters of the room temperature pressure test process to obtain the first fitting result; to correct the second initial fitting result based on the influence parameters of the high temperature pressure test process to obtain the second fitting result; and to correct the third initial fitting result based on the influence parameters of the low temperature pressure test process to obtain the third fitting result.

[0011] An anomaly point determination module is used to construct a fitting matrix based on the first fitting result, the second fitting result, and the third fitting result to determine the anomalies on the shaped tire and the degree of anomaly of the anomalies.

[0012] The secondary detection module is used to perform secondary detection on points with significant anomalies. If anomalies are still found, the prominent points are transmitted to the early warning module for early warning.

[0013] This invention provides a pressure testing module included in a data acquisition system for tire shaping, comprising:

[0014] The region division module is used to divide the tread region according to the basic data of the finalized tire, where each divided region is regarded as a target point.

[0015] The experimental module is used to conduct pressure tests on each target point under normal temperature, low temperature and high temperature conditions, and obtain the pressure detection value of each target point at different time points within the corresponding experimental time period, as well as the temperature detection value inside the shaped tire.

[0016] This invention provides a curve construction module included in a data acquisition system for tire shaping, comprising:

[0017] The pressure curve construction unit is used to construct room temperature pressure curve, high temperature pressure curve and low temperature pressure curve based on the pressure detection values ​​of different target points at different temperatures obtained by the pressure experiment module.

[0018] The temperature curve construction unit is used to construct a normal temperature compensation curve, a high temperature compensation curve, and a low temperature compensation curve based on the detected temperature value obtained by the pressure test module under the condition that the pressure detection value changes at the same temperature.

[0019] The parameter acquisition module is used to acquire, from the temperature compensation-parameter database, the influence parameters that are consistent with the normal temperature compensation curve, the influence parameters that are consistent with the high temperature compensation curve, and the influence parameters that are consistent with the low temperature compensation curve.

[0020] In the process of pressure testing the shaped tire, the pressure detection value of the target point is obtained by applying an inward measuring pressure to the outside of the target point.

[0021] This invention provides an anomaly point determination module included in a data acquisition system for tire shaping, comprising:

[0022] The column extraction unit is used to extract the target column of each target point from the fitting matrix, and to judge each fitting result in the same target column to determine whether there is excessive deformation fluctuation in the corresponding target point of the shaped tire. The fitting matrix includes n columns and 3 rows, where each column represents a target point.

[0023] If an anomaly exists, the corresponding target point is considered an anomaly, and the degree of anomaly of the anomaly is calculated.

[0024]

[0025] Where Y represents the degree of abnormality of the corresponding outlier; r i This represents the calculated weight of the matched outliers at the corresponding temperature, and y i This represents the actual pressure value at the corresponding temperature for the matched outlier; y0 i This represents the standard pressure value at the corresponding temperature for the matched anomaly point; k i This represents the deformation value of the matched outlier at the corresponding temperature; max(k) represents all k values ​​corresponding to the matched outlier. i The maximum value obtained from (r) i |y i -y0 i |) max This represents all r corresponding to the matched anomaly points. i |y i -y0 i The maximum value obtained from |; a1 represents the calculation factor for deformation value; a2 represents the calculation factor for pressure value, and a1+a2=1;

[0026] The degree judgment unit is used to treat the corresponding abnormal point as a prominent point when the degree of abnormality is greater than the preset degree;

[0027] Otherwise, the degree of anomaly of the corresponding anomaly point is stored as an anomaly reference.

[0028] This invention provides a curve correction module included in a data acquisition system for tire shaping, comprising:

[0029] The point locking unit is used to perform nonlinear fitting between the room temperature pressure curve and the room temperature standard curve, and lock the correction point from all the corresponding target points.

[0030] The overfitting determination unit is used to determine the bias of overfitting at each correction point and to obtain the first number of all locked correction points that belong to upward overfitting and the second number that belong to downward overfitting.

[0031] When the first number is equal to the second number, if the bias of the corresponding correction point is upward, the corresponding correction point is adjusted to be smaller according to the influence parameters in the room temperature pressure test process;

[0032] If the bias towards overfitting is downward, adjust the corresponding correction point upward based on the influencing parameters during the room temperature pressure test process;

[0033] When the first number is greater than the second number, the first optimization process to reduce the influence of the parameters in the room temperature pressure test is performed to adjust the correction point that is biased towards overfitting to a smaller value.

[0034]

[0035] Where u0 represents the original influencing parameter; u1 represents the parameter after the first reduction and optimization process; N1 represents the first number; N2 represents the second number; ∝1 and ∝2 represent the error coefficients in the first reduction and optimization process, with values ​​of [0, 0.1]; h1 represents the first preset threshold; A k03 This represents the value of the k03rd point of upward overfitting;

[0036] At the same time, based on the influence parameters in the original room temperature pressure test process, the correction point that is biased towards overfitting downwards is adjusted accordingly to be larger.

[0037] When the first number is less than the second number, the influence parameters in the room temperature pressure test process are subjected to a second reduction optimization process to adjust the correction point that is biased towards overfitting downwards accordingly.

[0038]

[0039] Where ∝3 and ∝4 represent the error coefficients in the second optimization process, with values ​​ranging from [0, 0.1]; u2 represents the parameters after the second optimization process; H1 represents the total number of non-overfitting points; A k01 A represents the value of the k01th non-overfitting point; k02 h1 represents the value of the k02nd downward overfitting point; h2 represents the second preset threshold.

[0040] At the same time, based on the influence parameters in the original room temperature pressure test process, the correction point that tends to be biased towards overfitting is adjusted to be smaller accordingly.

[0041] Based on the adjustment results of the correction points, the first fitting result is obtained;

[0042] Among them, the impact of the reduced impact parameters is less than the impact of the original impact parameters.

[0043] This invention provides a secondary detection module included in a data acquisition system for tire shaping, comprising:

[0044] A position determination unit is used to determine the position of each point with a prominent degree of abnormality based on the shaped tire;

[0045] An experimental matching unit is used to locate the region to which each point with a prominent degree of anomaly belongs based on its position, divide the region into sub-regions, and obtain experimental units that match the area of ​​each sub-region from the area-experiment database.

[0046] The contact area of ​​a sub-region within the given region during the experiment;

[0047] The experimental unit is used to perform a secondary pressure experiment on the matched sub-region, wherein the contact area of ​​the experimental module during the experiment on each target point is greater than that of the experimental unit for the same target point analysis unit.

[0048] The value calculation unit is used to average the secondary pressure test results of all sub-regions contained in the same region to obtain the average pressure value.

[0049] If the average pressure value is still abnormal, the corresponding prominent point will be transmitted to the early warning module for early warning.

[0050] This invention provides a warning module included in a data acquisition system for tire shaping, comprising:

[0051] The frequency counting unit is used to count the number of times a protruding point appears at the same position based on the secondary inspection results of each shaped tire, and to set the corresponding alarm level for the protruding point at the same position based on the number of occurrences.

[0052] The reminder unit is used to send the prominent points and alarm levels corresponding to the secondary detection results to the human terminal for reminder.

[0053] This invention provides a data acquisition method for tire shaping, comprising:

[0054] Step 1: Conduct pressure tests at room temperature, high temperature, and low temperature on multiple target points on the shaped tire;

[0055] Step 2: Construct pressure curves at room temperature, high temperature, and low temperature based on the pressure experiment results;

[0056] Step 3: Obtain the room temperature standard curve, high temperature standard curve, and low temperature standard curve of the tire that is highly matched with the tire after the model is finalized from the standard tire database;

[0057] Step 4: Perform a first initial fit between the room temperature pressure curve and the room temperature standard curve, a second initial fit between the high temperature pressure curve and the high temperature standard curve, and a third initial fit between the low temperature pressure curve and the low temperature standard curve.

[0058] Step 5: Correct the first initial fitting result according to the influence parameters of the room temperature pressure test process to obtain the first fitting result; correct the second initial fitting result according to the influence parameters of the high temperature pressure test process to obtain the second fitting result; and correct the third initial fitting result according to the influence parameters of the low temperature pressure test process to obtain the third fitting result.

[0059] Step 6: Construct a fitting matrix based on the first fitting result, the second fitting result, and the third fitting result to determine the abnormal points on the shaped tire and the degree of abnormality of the abnormal points;

[0060] Step 7: Perform a secondary inspection on points with significant anomalies. If anomalies still exist, transmit the prominent points to the early warning module for early warning. Attached Figure Description

[0061] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0062] Figure 1 This is a block diagram of a data acquisition system for tire shaping according to an embodiment of the present invention;

[0063] Figure 2 This is a diagram illustrating the secondary detection steps for anomalies in a data acquisition system for tire shaping, as described in an embodiment of the present invention. Detailed Implementation

[0064] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0065] Example 1:

[0066] This invention provides a data acquisition system for tire shaping, such as... Figure 1 As shown, it includes:

[0067] The pressure testing module is used to perform pressure tests at room temperature, high temperature and low temperature on multiple target points on the shaped tire.

[0068] The curve construction module is used to construct room temperature pressure curves, high temperature pressure curves, and low temperature pressure curves based on the pressure test results.

[0069] The standard curve acquisition module is used to obtain the ambient temperature standard curve, high temperature standard curve, and low temperature standard curve of the tires that are highly matched with the tires after the tires have been shaped from the standard tire database.

[0070] The curve fitting module is used to perform a first initial fitting between the room temperature pressure curve and the room temperature standard curve, a second initial fitting between the high temperature pressure curve and the high temperature standard curve, and a third initial fitting between the low temperature pressure curve and the low temperature standard curve.

[0071] The curve correction module is used to correct the first initial fitting result based on the influence parameters of the room temperature pressure test process to obtain the first fitting result; to correct the second initial fitting result based on the influence parameters of the high temperature pressure test process to obtain the second fitting result; and to correct the third initial fitting result based on the influence parameters of the low temperature pressure test process to obtain the third fitting result.

[0072] An anomaly point determination module is used to construct a fitting matrix based on the first fitting result, the second fitting result, and the third fitting result to determine the anomalies on the shaped tire and the degree of anomaly of the anomalies.

[0073] The secondary detection module is used to perform secondary detection on points with significant anomalies. If anomalies are still found, the prominent points are transmitted to the early warning module for early warning.

[0074] In this embodiment, the shaped tire refers to a tire that has been inflated and is ready for market use, but a pressure test needs to be performed on the shaped tire before it can be put into use.

[0075] In this embodiment, the target point refers to the uniform division of the shaped tire into regions. Each uniform region can be regarded as a target point. The uniform region is obtained by dividing the surface area of ​​the shaped tire into several equal parts.

[0076] In this embodiment, the normal temperature range is generally from -8 degrees Celsius to 34 degrees Celsius, the low temperature range is generally below -8 degrees Celsius, and the high temperature range is generally above 34 degrees Celsius.

[0077] In this embodiment, the pressure curve is plotted based on the target point and the pressure test results corresponding to the target point.

[0078] In this embodiment, the standard tire database includes a standard pressure curve for different tire models at different temperatures, and the target points in the standard pressure curve are all pre-set, and the target points of the subsequently tested and finalized tires are consistent with the target points of the standard.

[0079] In this embodiment, fitting two curves at the same temperature transforms the two curves into one.

[0080] In this embodiment, since temperature affects pressure during the test, it is necessary to obtain the influence parameters during the test at different temperatures. These influence parameters are based on the thermal expansion and contraction parameters of the tire under physical conditions, and will make certain corrections to the initial fitting results to ensure that the results are as close as possible to the real results.

[0081] In this embodiment, the fitting matrix refers to the vector obtained by acquiring each fitting result.

[0082] In this embodiment, an anomaly point refers to a point where the pressure changes too much. The degree of anomaly is calculated based on the corresponding column of the point in the fitting matrix. Points with an anomaly degree greater than a preset degree are considered prominent points.

[0083] For example, if the anomaly level is 1 and the preset level is 0.8, then the point corresponding to the anomaly level of 1 is the prominent point.

[0084] In this embodiment, the secondary detection is a second pressure test on the area corresponding to the protruding point. This is mainly to avoid abnormal judgment results due to possible errors in the first test. Therefore, a second detection is performed. If there is still an abnormality, the point is determined to be a true protruding point.

[0085] In this embodiment, the warning can be a combination of different methods such as text, sound, and light.

[0086] In this embodiment, the standard curve acquisition module aims to retrieve the basic data and corresponding experimental curves of the comparison tire. The basic data includes the tread pattern of the comparison tire, the radius of the comparison tire, and the reasonable division of the detection area to ensure that the area of ​​the test area and the number and state of the tread pattern are consistent.

[0087] In this embodiment, the curve construction module, curve fitting module, and curve correction module all require Matlab software to fit and correct the results.

[0088] The beneficial effects of the above technical solution are: by analyzing the tire pressure at different temperatures and the possible temperature changes during the testing process, anomalies can be identified, effectively ensuring the safety of tire use.

[0089] Example 2:

[0090] This invention provides a data acquisition system for tire shaping, including a pressure testing module, comprising:

[0091] The region division module is used to divide the tread region according to the basic data of the finalized tire, where each divided region is regarded as a target point.

[0092] The experimental module is used to conduct pressure tests on each target point under normal temperature, low temperature and high temperature conditions, and obtain the pressure detection value of each target point at different time points within the corresponding experimental time period, as well as the temperature detection value inside the shaped tire.

[0093] In this embodiment, the tread area includes the tread, grooves, shoulder, and sidewall areas, that is, all tire parts exposed to the external environment are used as the tread area for detection.

[0094] In this embodiment, region division refers to performing laser scanning on the shaped tire using a region division module and recording basic data. The region division is then performed based on the basic data, which must include the ground contact area, radius, and tread pattern of the shaped tire. The divided regions are considered as target points. For example, the center point of the wheel hub is used to divide the tire into eight identical regions.

[0095] In this embodiment, the temperature detection value is convenient for observing the changes in the internal gas temperature of the tire after shaping. Abnormal temperature points can also reflect the qualified status of the tire after shaping.

[0096] The beneficial effect of the above technical solution is that by conducting a comprehensive pressure test to detect the tire pressure of the shaped tire after applying pressure to each target point at various temperatures, and the tire pressure remains stable under various conditions, it proves that the tire's safety in this aspect is guaranteed.

[0097] Example 3:

[0098] This invention provides a data acquisition system for tire shaping, including a curve construction module, comprising:

[0099] The pressure curve construction unit is used to construct room temperature pressure curve, high temperature pressure curve and low temperature pressure curve based on the pressure detection values ​​of different target points at different temperatures obtained by the pressure experiment module.

[0100] The temperature curve construction unit is used to construct a normal temperature compensation curve, a high temperature compensation curve, and a low temperature compensation curve based on the detected temperature value obtained by the pressure test module under the condition that the pressure detection value changes at the same temperature.

[0101] The parameter acquisition module is used to acquire, from the temperature compensation-parameter database, the influence parameters that are consistent with the normal temperature compensation curve, the influence parameters that are consistent with the high temperature compensation curve, and the influence parameters that are consistent with the low temperature compensation curve.

[0102] In the process of pressure testing the shaped tire, the pressure detection value of the target point is obtained by applying an inward measuring pressure to the outside of the target point.

[0103] In this embodiment, the temperature compensation curve is a curve that is used to correct the measured pressure data when external pressure is applied to the shaped tire during the pressure test. This causes the shaped tire to deform and its internal gas to be compressed and dissipated. The temperature change inside the shaped tire will cause a certain deviation in the measured pressure data.

[0104] In this embodiment, the temperature compensation parameter database consists of standard compensation parameters that compensate for the temperature changes caused by gas compression of the shaped tire under different pressure conditions, which in turn cause the measured value of the tire's internal pressure to deviate due to temperature changes.

[0105] In this embodiment, the influencing conditions or parameters include: heat release during gas compression, heat release during tire deformation, and changes in the elastic modulus of the tire at different temperatures. These changes in conditions or parameters will affect the experimental data of the pressure.

[0106] In this embodiment, the inward measuring pressure is an outward-to-inward force pointing towards the center of the shaped tire and coinciding with the corresponding radius of the shaped tire.

[0107] The beneficial effects of the above technical solution are: by constructing a compensation curve based on the influence of temperature generated during pressure testing at different temperatures, the data of the pressure test module is corrected to make it closer to the real values, reducing the influence of external factors on the test data, and indirectly improving the safety of the tires after they have been shaped.

[0108] Example 4:

[0109] This invention provides a data acquisition system for tire shaping, including an anomaly point determination module, comprising:

[0110] The column extraction unit is used to extract the target column of each target point from the fitting matrix, and to judge each fitting result in the same target column to determine whether there is excessive deformation fluctuation in the corresponding target point of the shaped tire. The fitting matrix includes n columns and 3 rows, where each column represents a target point.

[0111] If an anomaly exists, the corresponding target point is considered an anomaly, and the degree of anomaly of the anomaly is calculated.

[0112]

[0113] Where Y represents the degree of abnormality of the corresponding outlier; r iThis represents the calculated weight of the matched outliers at the corresponding temperature, and y i This represents the actual pressure value at the corresponding temperature for the matched outlier; y0 i This represents the standard pressure value at the corresponding temperature for the matched anomaly point; k i This represents the deformation value of the matched outlier at the corresponding temperature; max(k) represents all k values ​​corresponding to the matched outlier. i The maximum value obtained from (r) i |y i -y0 i |) max This represents all r corresponding to the matched anomaly points. i |y i -y0 i The maximum value obtained from |; a1 represents the calculation factor for deformation value; a2 represents the calculation factor for pressure value, and a1+a2=1;

[0114] The degree judgment unit is used to treat the corresponding abnormal point as a prominent point when the degree of abnormality is greater than the preset degree;

[0115] Otherwise, the degree of anomaly of the corresponding anomaly point is stored as an anomaly reference.

[0116] In this embodiment, excessive deformation fluctuation is determined by constructing a curve for the target point based on the target column and comparing this curve with a standard range. If the curve falls within the standard range, it is considered that there is no excessive deformation fluctuation; otherwise, it is considered that there is excessive deformation fluctuation. The standard range is pre-set, for example, the standard range is within (0.7, 0.9). If there is a point in the curve corresponding to the target point that is less than 0.7 or greater than 0.9, it is said that the target point has excessive deformation fluctuation.

[0117] In this embodiment, the n columns of the matrix represent the number of target points, and the 3 rows represent the three experimental scenarios. By establishing the matrix, outliers are identified, and the degree of abnormality of the outliers is judged. The location and degree of the outliers are stored and used as anomaly references.

[0118] In this embodiment, the preset degree is pre-set, and is generally set to 1.

[0119] The beneficial effects of the above technical solution are: by judging the fluctuation of each column in the matrix, the existing abnormal points can be effectively identified, and the degree of abnormality of the abnormal points can be calculated by pressure, deformation, etc., which facilitates the subsequent secondary experiment on the prominent points and further ensures the safety of the tire.

[0120] Example 5:

[0121] This invention provides a curve correction module included in a data acquisition system for tire shaping, comprising:

[0122] The point locking unit is used to perform nonlinear fitting between the room temperature pressure curve and the room temperature standard curve, and lock the correction point from all the corresponding target points.

[0123] The overfitting determination unit is used to determine the bias of overfitting at each correction point and to obtain the first number of all locked correction points that belong to upward overfitting and the second number that belong to downward overfitting.

[0124] When the first number is equal to the second number, if the bias of the corresponding correction point is upward, the corresponding correction point is adjusted to be smaller according to the influence parameters in the room temperature pressure test process;

[0125] If the bias towards overfitting is downward, adjust the corresponding correction point upward based on the influencing parameters during the room temperature pressure test process;

[0126] When the first number is greater than the second number, the first optimization process to reduce the influence of the parameters in the room temperature pressure test is performed to adjust the correction point that is biased towards overfitting to a smaller value.

[0127]

[0128] Where u0 represents the original influencing parameter; u1 represents the parameter after the first reduction and optimization process; N1 represents the first number; N2 represents the second number; ∝1 and ∝2 represent the error coefficients in the first reduction and optimization process, with values ​​of [0, 0.1]; h1 represents the first preset threshold; A k03 This represents the value of the k03rd point of upward overfitting;

[0129] At the same time, based on the influence parameters in the original room temperature pressure test process, the correction point that is biased towards overfitting downwards is adjusted accordingly to be larger.

[0130] When the first number is less than the second number, the influence parameters in the room temperature pressure test process are subjected to a second reduction optimization process to adjust the correction point that is biased towards overfitting downwards accordingly.

[0131]

[0132] Where ∝3 and ∝4 represent the error coefficients in the second optimization process, with values ​​ranging from [0, 0.1]; u2 represents the parameters after the second optimization process; H1 represents the total number of non-overfitting points; A k01 A represents the value of the k01th non-overfitting point; k02h1 represents the value of the k02nd downward overfitting point; h2 represents the second preset threshold.

[0133] At the same time, based on the influence parameters in the original room temperature pressure test process, the correction point that tends to be biased towards overfitting is adjusted to be smaller accordingly.

[0134] Based on the adjustment results of the correction points, the first fitting result is obtained;

[0135] Among them, the impact of the reduced impact parameters is less than the impact of the original impact parameters.

[0136] In this embodiment, the correction points are all points that are not on the fitted curve.

[0137] In this embodiment, the first fitting result is the result of fitting the first initial fitting result after curve correction.

[0138] In this embodiment, the optimization process is reduced to ensure the accuracy of the first fitting result. During the pressure test, there are parameters that are affected by temperature. Therefore, in order to alleviate the overfitting of tire pressure caused by these parameters, the correction point for upward overfitting is adjusted to be smaller and the correction point for downward overfitting is adjusted to be larger, so as to avoid the pressure measurement error caused by thermal expansion and contraction as much as possible.

[0139] In this embodiment, the correction point is adjusted by adjusting the value of the influencing parameter so as to achieve a better fit with the fitted curve.

[0140] In this embodiment, biased overfitting refers to correction points that are not on the fitted curve. These target points will affect the bias of the fitted curve. Upward overfitting refers to points below the fitted curve exceeding points above the fitted curve. The correction points need to be adjusted to be smaller, and the adjustment result tends to the upper boundary value of the fitted curve. Downward overfitting refers to points below the fitted curve being lower than points above the fitted curve. The correction points need to be adjusted to be larger, and the adjustment result tends to the lower boundary value of the fitted curve.

[0141] In this embodiment, the first preset threshold is 0.3 and the second preset threshold is 0.4.

[0142] The beneficial effects of the above technical solution are: by reducing and optimizing the correction point, the fitting results are closer to the true results, the generalization ability and analytical accuracy of the system are enhanced, the reliability of experimental data is improved, and the safety of tires during use is further guaranteed.

[0143] Example 6:

[0144] According to Embodiment 2 of the present invention, a data acquisition system for tire shaping is provided, wherein the secondary detection module includes:

[0145] A position determination unit is used to determine the position of each point with a prominent degree of abnormality based on the shaped tire;

[0146] An experimental matching unit is used to locate the region to which each point with a prominent degree of anomaly belongs based on its position, divide the region into sub-regions, and obtain experimental units that match the area of ​​each sub-region from the area-experiment database.

[0147] The experimental unit is used to perform a secondary pressure experiment on the matched sub-region, wherein the contact area of ​​the experimental module during the experiment on each target point is greater than the contact area of ​​the experimental unit during the experiment on the sub-regions within the region to which the same target point belongs.

[0148] The value calculation unit is used to average the secondary pressure test results of all sub-regions contained in the same region to obtain the average pressure value.

[0149] If the pressure value of the sub-region is still abnormal, the corresponding prominent point will be transmitted to the early warning module for early warning.

[0150] In this embodiment, location locking is used to divide the area to which the protruding point belongs.

[0151] In this embodiment, the area-experimental database refers to a standard database of pressure changes of the shaped tire when pressure tests are conducted in the experimental unit with the contact area being a standard area. The database includes different contact areas and experimental units that match the area.

[0152] In this embodiment, the sub-region is a more detailed and equal division of the area of ​​the target point.

[0153] In this embodiment, the experimental unit is a unit that performs secondary testing on the sub-region based on the pressure test module.

[0154] In this embodiment, if the pressure value in the sub-region is still abnormal, it proves that the abnormal point of the shaped tire is here, and human intervention is needed to repair the abnormal point.

[0155] In this embodiment, the pressure test module fixes the center of the wheel hub above the glass plane, places the target point between the fixed point and the glass plane, and moves the tire downward through the fixed point. The glass plane exerts an upward force on the target point at the contact surface. When the data from the pressure sensor below the glass reaches a preset standard value, the tire's internal pressure after shaping is observed and the experimental data is recorded. The experimental unit and the pressure test unit use the same experimental principle.

[0156] The beneficial effects of the above technical solution are: by detecting abnormal points through the secondary detection module, system problems can be eliminated, and the location of abnormal points can be determined, which is beneficial for staff to adjust these abnormal points and find problems, thereby improving the safety of the tires after they are finalized.

[0157] Example 7:

[0158] According to Embodiment 6 of the present invention, a data acquisition system for tire shaping is provided, including an early warning module, comprising:

[0159] The frequency counting unit is used to count the number of times a protruding point appears at the same position based on the secondary inspection results of each shaped tire, and to set the corresponding alarm level for the protruding point at the same position based on the number of occurrences.

[0160] The reminder unit is used to send the prominent points and alarm levels corresponding to the secondary detection results to the human terminal for reminder.

[0161] In this embodiment, the number of times an anomaly occurs is the number of times the same target point of different shaped tires of the same type exhibits an anomaly.

[0162] In this embodiment, the display method on the manual end can be an alarm form such as a signal light or a sound alarm.

[0163] In this embodiment, early warnings are issued for each level of abnormal data indicators, and changes in tire pressure are monitored in real time. When the changes in tire pressure exceed a certain value of the standard data, a first-level alarm is issued. A second-level alarm is triggered when the number of third-level alarm indicators is abnormal. The goodness of fit between the experimental data curve and the standard data curve is judged. When the coefficient of determination of the goodness of fit is less than a specified value, that is, when the degree of abnormality is too large, a third-level alarm is issued for the target point.

[0164] In this embodiment, a level 1 alarm stops the tire test and performs a cooling and depressurization pretreatment on the tire. A level 2 alarm triggers a system self-check and transmits abnormal information to the staff. Level 2 alarms require staff to inspect the production line or testing equipment. The module marks the same target point in subsequent tire tests with a level 3 alarm. A level 3 alarm triggers a second inspection of the abnormal target point.

[0165] The beneficial effects of the above technical solution are: it provides graded alarms for different abnormal points under abnormal conditions; the data acquisition system performs timely self-checks and pre-processes the shaped tires in a timely manner; and staff can accurately and quickly adjust the shaped tires or the data acquisition system in an experiment, making it more efficient for staff to handle problems and thus improving tire safety.

[0166] Example 8:

[0167] This invention provides a data acquisition method for tire shaping, such as... Figure 2 As shown, it includes:

[0168] Step 1: Conduct pressure tests at room temperature, high temperature, and low temperature on multiple target points on the shaped tire;

[0169] Step 2: Construct pressure curves at room temperature, high temperature, and low temperature based on the pressure experiment results;

[0170] Step 3: Obtain the room temperature standard curve, high temperature standard curve, and low temperature standard curve of the tire that is highly matched with the tire after the model is finalized from the standard tire database;

[0171] Step 4: Perform a first initial fit between the room temperature pressure curve and the room temperature standard curve, a second initial fit between the high temperature pressure curve and the high temperature standard curve, and a third initial fit between the low temperature pressure curve and the low temperature standard curve.

[0172] Step 5: Correct the first initial fitting result according to the influence parameters of the room temperature pressure test process to obtain the first fitting result; correct the second initial fitting result according to the influence parameters of the high temperature pressure test process to obtain the second fitting result; and correct the third initial fitting result according to the influence parameters of the low temperature pressure test process to obtain the third fitting result.

[0173] Step 6: Construct a fitting matrix based on the first fitting result, the second fitting result, and the third fitting result to determine the abnormal points on the shaped tire and the degree of abnormality of the abnormal points;

[0174] Step 7: Perform a secondary inspection on points with significant anomalies. If anomalies still exist, transmit the prominent points to the early warning module for early warning.

[0175] The beneficial effects of the above technical solution are: by analyzing the tire pressure at different temperatures and the possible temperature changes during the testing process, anomalies can be identified, effectively ensuring the safety of tire use.

[0176] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A data acquisition system for tire shaping, characterized in that, include: The pressure testing module is used to perform pressure tests at room temperature, high temperature and low temperature on multiple target points on the shaped tire. The curve construction module is used to construct room temperature pressure curves, high temperature pressure curves, and low temperature pressure curves based on the pressure test results. The standard curve acquisition module is used to obtain the ambient temperature standard curve, high temperature standard curve, and low temperature standard curve of the tires that are highly matched with the tires after the tires have been shaped from the standard tire database. The curve fitting module is used to perform a first initial fitting between the room temperature pressure curve and the room temperature standard curve, a second initial fitting between the high temperature pressure curve and the high temperature standard curve, and a third initial fitting between the low temperature pressure curve and the low temperature standard curve. The curve correction module is used to correct the first initial fitting result based on the influence parameters of the room temperature pressure test process to obtain the first fitting result; to correct the second initial fitting result based on the influence parameters of the high temperature pressure test process to obtain the second fitting result; and to correct the third initial fitting result based on the influence parameters of the low temperature pressure test process to obtain the third fitting result. An anomaly point determination module is used to construct a fitting matrix based on the first fitting result, the second fitting result, and the third fitting result to determine the anomalies on the shaped tire and the degree of anomaly of the anomalies. The secondary detection module is used to perform secondary detection on points with significant anomalies. If anomalies are still found, the prominent points are transmitted to the early warning module for early warning.

2. The data acquisition system for tire shaping according to claim 1, characterized in that... The pressure test module includes: The region division module is used to divide the tread region according to the basic data of the finalized tire, where each divided region is regarded as a target point. The experimental module is used to conduct pressure tests on each target point under normal temperature, low temperature and high temperature conditions, and obtain the pressure detection value of each target point at different time points within the corresponding experimental time period, as well as the temperature detection value inside the shaped tire.

3. The data acquisition system for tire shaping according to claim 1, characterized in that... The curve construction module includes: The pressure curve construction unit is used to construct room temperature pressure curve, high temperature pressure curve and low temperature pressure curve based on the pressure detection values ​​of different target points at different temperatures obtained by the pressure experiment module. The temperature curve construction unit is used to construct a normal temperature compensation curve, a high temperature compensation curve, and a low temperature compensation curve based on the detected temperature value obtained by the pressure test module under the condition that the pressure detection value changes at the same temperature. The parameter acquisition module is used to acquire, from the temperature compensation-parameter database, the influence parameters that are consistent with the normal temperature compensation curve, the influence parameters that are consistent with the high temperature compensation curve, and the influence parameters that are consistent with the low temperature compensation curve. In the process of pressure testing the shaped tire, the pressure detection value of the target point is obtained by applying an inward measuring pressure to the outside of the target point.

4. The data acquisition system for tire shaping according to claim 1, characterized in that... The anomaly point determination module includes: The column extraction unit is used to extract the target column of each target point from the fitting matrix, and to judge each fitting result in the same target column to determine whether there is excessive deformation fluctuation in the corresponding target point of the shaped tire. The fitting matrix includes n columns and 3 rows, where each column represents a target point. If an anomaly exists, the corresponding target point is considered an anomaly, and the degree of anomaly of the anomaly is calculated. Where Y represents the degree of abnormality of the corresponding outlier; r i This represents the calculated weight of the matched outliers at the corresponding temperature, and y i This represents the actual pressure value at the corresponding temperature for the matched outlier; y0 i This represents the standard pressure value at the corresponding temperature for the matched anomaly point; k i This represents the deformation value of the matched outlier at the corresponding temperature; max(k) represents all k values ​​corresponding to the matched outlier. i The maximum value obtained from (r) i |y i -y0 i |) max This represents all r corresponding to the matched anomaly points. i |y i -y0 i The maximum value obtained from |; a1 represents the calculation factor for deformation value; a2 represents the calculation factor for pressure value, and a1+a2=1; The degree judgment unit is used to treat the corresponding abnormal point as a prominent point when the degree of abnormality is greater than the preset degree; Otherwise, the degree of anomaly of the corresponding anomaly point is stored as an anomaly reference.

5. The data acquisition system for tire shaping according to claim 1, characterized in that, The curve correction module includes: The point locking unit is used to perform nonlinear fitting between the room temperature pressure curve and the room temperature standard curve, and lock the correction point from all the corresponding target points. The overfitting determination unit is used to determine the bias of overfitting at each correction point and to obtain the first number of all locked correction points that belong to upward overfitting and the second number that belong to downward overfitting. When the first number is equal to the second number, if the bias of the corresponding correction point is upward due to overfitting, the corresponding correction point is adjusted to be smaller according to the influence parameters in the room temperature pressure test process. If the bias towards overfitting is downward, adjust the corresponding correction point upward based on the influencing parameters during the room temperature pressure test process; When the first number is greater than the second number, the first optimization process to reduce the influence of the parameters in the room temperature pressure test is performed to adjust the correction point that is biased towards overfitting to a smaller value. Where u0 represents the original influencing parameter; u1 represents the parameter after the first reduction and optimization process; N1 represents the first number; N2 represents the second number; ∝1 and ∝2 represent the error coefficients in the first reduction and optimization process, with values ​​of [0, 0.1]; h1 represents the first preset threshold; A k03 This represents the value of the k03rd point of upward overfitting; At the same time, based on the influence parameters in the original room temperature pressure test process, the correction point that is biased towards overfitting downwards is adjusted accordingly to be larger. When the first number is less than the second number, the influence parameters in the room temperature pressure test process are subjected to a second reduction optimization process to adjust the correction point that is biased towards overfitting downwards accordingly. Where ∝3 and ∝4 represent the error coefficients in the second optimization process, with values ​​ranging from [0, 0.1]; u2 represents the parameters after the second optimization process; H1 represents the total number of non-overfitting points; A k01 A represents the value of the k01th non-overfitting point; k02 h1 represents the value of the k02nd downward overfitting point; h2 represents the second preset threshold. At the same time, based on the influence parameters in the original room temperature pressure test process, the correction point that tends to be biased towards overfitting is adjusted to be smaller accordingly. Based on the adjustment results of the correction points, the first fitting result is obtained; Among them, the impact of the reduced impact parameters is less than the impact of the original impact parameters.

6. A data acquisition system for tire shaping according to claim 2, characterized in that... The secondary detection module includes: A position determination unit is used to determine the position of each point with a prominent degree of abnormality based on the shaped tire; An experimental matching unit is used to locate the region to which each point with a prominent degree of anomaly belongs based on its position, divide the region into sub-regions, and obtain experimental units that match the area of ​​each sub-region from the area-experiment database. The contact area of ​​a sub-region within the given region during the experiment; The experimental unit is used to perform a secondary pressure experiment on the matched sub-region, wherein the contact area of ​​the experimental module during the experiment on each target point is greater than that of the experimental unit for the same target point analysis unit. The value calculation unit is used to average the secondary pressure test results of all sub-regions contained in the same region to obtain the average pressure value. If the average pressure value is still abnormal, the corresponding prominent point will be transmitted to the early warning module for early warning.

7. A data acquisition system for tire shaping according to claim 6, characterized in that... The early warning module includes: The frequency counting unit is used to count the number of times a protruding point appears at the same position based on the secondary inspection results of each shaped tire, and to set the corresponding alarm level for the protruding point at the same position based on the number of occurrences. The reminder unit is used to send the prominent points and alarm levels corresponding to the secondary detection results to the human terminal for reminder.

8. A data acquisition method for tire shaping, characterized in that, include: Step 1: Conduct pressure tests at room temperature, high temperature, and low temperature on multiple target points on the shaped tire; Step 2: Construct pressure curves at room temperature, high temperature, and low temperature based on the pressure experiment results; Step 3: Obtain the ambient temperature standard curve, high temperature standard curve, and low temperature standard curve of the tire that is highly matched with the tire after the model is finalized from the standard tire database. Step 4: Perform a first initial fit between the room temperature pressure curve and the room temperature standard curve, a second initial fit between the high temperature pressure curve and the high temperature standard curve, and a third initial fit between the low temperature pressure curve and the low temperature standard curve. Step 5: Correct the first initial fitting result according to the influence parameters of the room temperature pressure test process to obtain the first fitting result; correct the second initial fitting result according to the influence parameters of the high temperature pressure test process to obtain the second fitting result; and correct the third initial fitting result according to the influence parameters of the low temperature pressure test process to obtain the third fitting result. Step 6: Construct a fitting matrix based on the first fitting result, the second fitting result, and the third fitting result to determine the abnormal points on the shaped tire and the degree of abnormality of the abnormal points; Step 7: Perform a second inspection on points with significant anomalies. If anomalies still exist, transmit the prominent points to the early warning module for early warning.

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