Non-destructive carcass curve recognition and verification method for construction machinery tires

Abstract

The present invention relates to the technical field of engineering machinery tires, and particularly to a method for identifying and verifying the non-destructive carcass curve of an engineering machinery tire. The present invention comprises the following steps: placing the processed engineering machinery tire on a measurement platform, and using a scanning device arranged on the measurement platform to respectively scan the data of the inner contour and the outer contour of the engineering machinery tire; setting different-density dividing points along the crown, the shoulder and the sidewall of the engineering machinery tire according to the type of the engineering machinery tire; controlling a laser to project laser points along the inner contour and the outer contour, and a ultrasonic thickness measuring device to detect one by one along the laser marked points, fitting the position point values to obtain the real carcass curve, and performing grading processing on the carcass curve. The present invention avoids the measurement error and tire damage caused by physical contact, combines the method of taking the average value by multiple measurements, effectively eliminates the random error of single measurement, improves the accuracy of the measurement result, and finally realizes the grading processing of the carcass curve.

Description

Technical Field

[0001] The present invention relates to the technical field of construction machinery tires, and particularly relates to a method for identifying and verifying the non-destructive carcass curve of a construction machinery tire. Background Art

[0002] In the engineering tire industry, the carcass curve design of a tire has a significant impact on its performance. Currently, the industry generally uses the costly cross-section cutting method to verify the carcass curve, that is, comparing and analyzing the tire cross-section with the design drawing. However, this method is not only extremely expensive (the cost of a single tire may be as high as ten thousand yuan), but also the cutting and analysis process is time-consuming, seriously restricting efficiency, and has never achieved the goal of non-destructive testing. To overcome the above technical bottlenecks, those skilled in the art have continuously made efforts. For example, the laser point-taking drawing method disclosed in Chinese Patent CN112765698A improves the non-contact and flexibility of measurement to a certain extent, but still needs to be optimized to meet the requirements of higher precision, efficiency, and automation. Summary of the Invention

[0003] The technical problem to be solved by the present invention is: to overcome the deficiencies of the prior art and provide a method for identifying and verifying the non-destructive carcass curve of a construction machinery tire.

[0004] The technical solution adopted by the present invention is as follows:

[0005] A method for identifying and verifying the non-destructive carcass curve of a construction machinery tire includes the following steps:

[0006] S1. Preparation before measurement: Place the processed construction machinery tire on the measurement platform. The curve of the internal steel wire skeleton material of the construction machinery tire is the carcass curve;

[0007] S2. Scanning of the contour: Use the scanning device set on the measurement platform to scan the data of the inner contour and outer contour of the construction machinery tire respectively, and the scanning device synchronously transmits the data to the server;

[0008] S3. Point division of the cross-sectional view: The server outputs the cross-sectional view corresponding to the construction machinery tire, and sets different densities of points along the tread, shoulder, and sidewall according to the type of the construction machinery tire;

[0009] S4. Ultrasonic thickness measurement: The server controls the laser to project laser points along the inner contour and outer contour according to the positions of the points on the cross-sectional view. The ultrasonic thickness measurement device probes one by one along the laser marked points, and the detected distance information is input into the server. The server obtains the position point values according to the corresponding distance information, and fits the position point values to obtain the true carcass curve;

[0010] S5. Identification and verification: Repeat steps S2 to S4, measure multiple times and take the average of the true carcass curves to finally obtain the identified carcass curve; verify it with the standard carcass curve and perform grading processing on the carcass curve.

[0011] This technical solution is used to accurately measure and verify the carcass curve of a tire to ensure tire quality. Through steps such as preparation for measurement, scanning the contour, sectional points, ultrasonic thickness measurement, and multiple measurement verification, grading processing of the carcass curve is finally achieved. Specifically, a scanning device is used to perform non-contact measurement on the tire to obtain accurate data of its inner and outer contours, avoiding measurement errors and tire damage that may be caused by physical contact; the scanning device synchronously transmits the data to the server, and the server performs preliminary processing of the data (such as filtering, noise reduction, splicing, etc.) to generate a sectional view of the tire; on the sectional view, different densities of sectional points are set along the crown, shoulder, and sidewall of the tire according to the tire type. Different densities of sectional points are set in different regions because the stresses and deformations borne by these regions in the tire structure and use are different, and more refined measurement and analysis are required; an ultrasonic thickness measurement device is used for non-destructive measurement. By emitting ultrasonic waves to the tire and receiving the reflected signals, the thickness of the tire rubber layer is calculated, accurate to the millimeter level; a laser projects laser points as a guide for the ultrasonic thickness measurement device to ensure the accuracy and consistency of the measurement. The server calculates the true carcass curve based on the distance information fed back by the ultrasonic thickness measurement device and the positions of the sectional points; repeat the scanning and thickness measurement operations, and take the average of multiple measurements to eliminate random errors and uncertainties in single measurements and improve the reliability of the measurement results; data fusion technology comprehensively processes the results of multiple measurements to obtain more accurate and reliable carcass curve data; compare the identified carcass curve with the standard carcass curve, evaluate the quality of the tire by calculating the error between the two, and based on the preset error range and standards, objectively evaluate whether the tire meets the quality requirements; perform grading processing on the carcass curve according to the comparison results, that is, classify the tire into qualified and unqualified grades according to the size of the error.

[0012] In addition, the non-destructive carcass curve identification and verification method for engineering machinery tires proposed above according to the present invention also has the following additional technical features:

[0013] According to an embodiment of the present invention, in the step S1, the measurement platform includes the following structure:

[0014] A scanning device, including a high-precision laser sensor, is used to perform a full-range scan on the inner and outer contours to obtain dense and accurate point cloud data;

[0015] A motion control device, including two inner and outer circular tracks and a support. The support is slidably arranged on the circular track, and the scanning device is fixed on the support and is used to drive the scanning device to perform scanning along the motion trajectory.

[0016] A laser, which is arranged on an annular track and projects laser points towards the inner contour and the outer contour respectively, is used to guide the contact position of the ultrasonic thickness measuring device.

[0017] A server, including a data acquisition and processing unit and a display and storage unit, wherein:

[0018] The data acquisition and processing unit is used to collect the data obtained by the scanning device, and perform filtering, noise reduction, and splicing to obtain a cross-sectional view of the engineering machinery tire.

[0019] The display and storage unit is used to present and store the processed data, and at the same time perform integrated processing on the scanned file and the design drawing to generate point-by-point.

[0020] This technical solution includes a high-precision scanning device, a motion control device, a laser, and a server, etc., to support the non-destructive carcass curve identification and verification method of engineering machinery tires, and ensure the accurate acquisition and processing of scanning data.

[0021] According to an embodiment of the present invention, in the motion control device of step S1, at least two groups of scanning devices are installed on the annular track, and the inner contour and the outer contour are scanned simultaneously.

[0022] This technical solution optimizes the motion control device, installs at least two groups of scanning devices on the annular track, realizes the simultaneous scanning of the inner contour and the outer contour, and improves the measurement efficiency and accuracy.

[0023] According to an embodiment of the present invention, in step S4, the ultrasonic thickness measuring device includes the following structure:

[0024] A motion control unit, which is used to precisely control the motion path of the ultrasonic transmitting and receiving unit to ensure the completeness and accuracy of the scanning;

[0025] An ultrasonic transmitting and receiving unit, which is used to transmit ultrasonic waves to the tire and receive the ultrasonic wave signals reflected back;

[0026] A post-processing unit, which integrates the data collected by the scanning device and the ultrasonic thickness measuring device, extracts eigenvalue for scoring and grading.

[0027] This technical solution includes a motion control unit, an ultrasonic transmitting and receiving unit, and a post-processing unit, to ensure the accuracy of the ultrasonic thickness measurement process and the effectiveness of data processing.

[0028] According to an embodiment of the present invention, in step S4, the measurement object of the ultrasonic thickness measuring device is the rubber thickness from the outer wall of the tire to the carcass curve, and the fitted carcass curve is obtained by continuously calibrating the position point values of the rubber thickness in the cross-sectional view.

[0029] This technical solution determines the measurement object and method of the ultrasonic thickness measurement device, that is, continuously calibrates the rubber thickness from the outer wall of the tire to the carcass curve to obtain accurate carcass curve information.

[0030] According to an embodiment of the present invention, in the step S5, measuring multiple times means that the scanning device measures multiple times and the ultrasonic thickness measurement device measures multiple times, where:

[0031] The scanning device scans the inner contour and the outer contour in the clockwise direction respectively; then scans the inner contour and the outer contour in the counterclockwise direction.

[0032] The ultrasonic thickness measurement device contacts the laser point entry points in the clockwise direction respectively; then contacts the laser point entry points in the counterclockwise direction respectively.

[0033] This technical solution refines the multiple measurement methods of the scanning device and the ultrasonic thickness measurement device, including scanning and thickness measurement in the clockwise and counterclockwise directions, to ensure the comprehensiveness and accuracy of the measurement results.

[0034] According to an embodiment of the present invention, in the step S5, the grading process of the carcass curve includes the following specific steps:

[0035] If the error between the identified carcass curve and the standard carcass curve is less than or equal to 4 mm, the carcass curve is considered qualified.

[0036] If the error between the identified carcass curve and the standard carcass curve is greater than 4 mm, the carcass curve is considered to have excessive deformation and is unqualified.

[0037] This technical solution specifically stipulates the standard for the grading process of the tire, that is, determines whether the tire is qualified according to the error range between the identified carcass curve and the standard curve, to ensure that the tire quality meets the standard.

[0038] Compared with the prior art, the present invention has the following beneficial effects:

[0039] (1) Through the non-contact high-precision scanning device and ultrasonic thickness measurement technology, it is possible to accurately obtain the inner and outer contour data of the construction machinery tire and measure the thickness of the tire rubber layer accurate to the millimeter level, thereby avoiding measurement errors and tire damage caused by physical contact; combined with the method of taking the average value of multiple measurements, the random error of single measurement is effectively eliminated, and the accuracy of the measurement results is improved.

[0040] (2) Integrate high-precision scanning devices, lasers, servers and other automated equipment to realize the full-automatic processing from measurement preparation to carcass curve recognition; at the same time, by optimizing the motion control device and installing multiple groups of scanning devices on the circular track, the simultaneous scanning of the inner and outer contours of the tire is realized, and the measurement efficiency is significantly improved. Brief Description of the Drawings

[0041] Figure 1 is a flow principle block diagram of the method of the present invention.

[0042] Figure 2 is a cross-sectional view of a construction machinery tire.

[0043] Figure 3 is a schematic structural diagram of a carcass curve.

[0044] Figure 4 is a schematic structural diagram of a scanning device.

[0045] Figure 5 is a schematic structural diagram of an ultrasonic thickness measuring device.

[0046] In the figure: 1, construction machinery tire; 2, scanning device; 3, ultrasonic thickness measuring device; 4, dividing points; 5, carcass curve; 6, outer contour; 7, inner contour; 8, laser points. Detailed Embodiments

[0047] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0048] Embodiment 1

[0049] As Figure 1 shown, this embodiment provides a method for non-destructive carcass curve identification and verification of a construction machinery tire, including the following steps:

[0050] S1. Preparation before measurement: Place the processed construction machinery tire 1 on the measurement platform. The curve of the internal steel wire skeleton material of the construction machinery tire 1, that is, the carcass curve 5, as Figures 2 to 3 shown;

[0051] S2. Scanning of the contour: Use the scanning device 2 arranged on the measurement platform to scan the data of the inner contour 7 and the outer contour 6 of the construction machinery tire 1 respectively. The scanning device 2 synchronously transmits the data to the server, as Figure 4 shown;

[0052] S3. Dividing points of the cross-sectional view: The server outputs the cross-sectional view corresponding to the construction machinery tire 1 and sets dividing points 4 with different densities along the tread, shoulder, and sidewall according to the type of the construction machinery tire 1;

[0053] S4. Thickness measurement of ultrasonic wave: The server controls the laser to project laser points 8 along the inner contour 7 and the outer contour 6 according to the position on the sectional view where the point 4 is located. The ultrasonic thickness measurement device 3 detects one by one along the laser marked points, and the detected distance information is input into the server. The server obtains the position point values according to the corresponding distance information, and fits the position point values to obtain the real carcass curve, as Figure 5 shown;

[0054] S5. Identification and verification: Repeat steps S2 to S4, measure multiple times and take the average value of the real carcass curve, and finally obtain the identified carcass curve; verify it with the standard carcass curve, and perform grading processing on the carcass curve 5.

[0055] As Figures 1 to 5 shown, this technical solution is used to accurately measure and verify the carcass curve 5 of the tire to ensure the tire quality. Through steps such as preparation for measurement, scanning the contour, sectional view of the point 4, ultrasonic thickness measurement, and multiple measurement verification, the grading processing of the carcass curve 5 is finally realized. Specifically, the scanning device 2 is used to perform non-contact measurement on the tire to obtain accurate data of its inner and outer contours 6, avoiding measurement errors and tire damage that may be caused by physical contact; the scanning device 2 synchronously transmits the data to the server, and the server performs preliminary processing of the data (such as filtering, noise reduction, splicing, etc.) to generate the sectional view of the tire; on the sectional view, different densities of points 4 are set along the crown, shoulder, and sidewall of the tire according to the tire type. Different densities of points 4 are set in different regions because the stresses and deformations borne by these regions in the tire structure and use are different, and more refined measurement and analysis are required; the ultrasonic thickness measurement device 3 is used for non-destructive measurement, and the thickness of the tire rubber layer is calculated by emitting ultrasonic waves to the tire and receiving the signals reflected back, accurate to the millimeter level; the laser projects laser points 8 as the guide of the ultrasonic thickness measurement device 3 to ensure the accuracy and consistency of the measurement. The server calculates the real carcass curve according to the distance information fed back by the ultrasonic thickness measurement device 3 and the position of the point 4; repeat the scanning and thickness measurement operations, and take the average value of multiple measurements to eliminate random errors and uncertainties in single measurement and improve the reliability of the measurement results; the data fusion technology comprehensively processes the results of multiple measurements to obtain more accurate and reliable carcass curve 5 data; compare the identified carcass curve with the standard carcass curve, evaluate the quality of the tire by calculating the error between the two, and based on the preset error range and standard, objectively evaluate whether the tire meets the quality requirements; perform grading processing on the carcass curve 5 according to the comparison result, that is, classify the tire into qualified and unqualified grades according to the error size.

[0056] In addition, the non-destructive carcass curve identification and verification method for construction machinery tires proposed above according to the present invention further has the following additional technical features:

[0057] According to an embodiment of the present invention, in the step S1, the measurement platform includes the following structure:

[0058] A scanning device 2, including a high-precision laser sensor, is used to perform an all-round scan on the inner contour 7 and the outer contour 6, and then obtain dense and accurate point cloud data;

[0059] A motion control device, including two inner and outer circular tracks and a support. The support is slidably arranged on the circular track, and the scanning device 2 is fixed on the support, and is used to drive the scanning device 2 to perform a scan along the motion trajectory;

[0060] A laser, arranged on the circular track, projects laser points 8 towards the inner contour 7 and the outer contour 6 respectively, and is used to guide the contact position of the ultrasonic thickness measurement device 3;

[0061] A server, including a data acquisition and processing unit and a display and storage unit, wherein:

[0062] The data acquisition and processing unit is used to collect the data obtained by the scanning device 2, and perform filtering, noise reduction, and splicing, so as to obtain the cross-sectional view of the construction machinery tire 1;

[0063] The display and storage unit is used to present and store the processed data, and at the same time perform integrated processing on the scanned file and the design drawing, so as to generate the sub-point 4.

[0064] This technical solution includes a high-precision scanning device 2, a motion control device, a laser, a server, etc., to support the non-destructive tire body curve recognition and verification method of construction machinery tires, and ensure the accurate acquisition and processing of scanning data.

[0065] According to an embodiment of the present invention, in the motion control device of the step S1, at least two groups of scanning devices 2 are installed on the circular track, and are respectively used to scan the inner contour 7 and the outer contour 6 simultaneously.

[0066] This technical solution optimizes the motion control device, installs at least two groups of scanning devices 2 on the circular track, realizes the simultaneous scanning of the inner contour 7 and the outer contour, and improves the measurement efficiency and accuracy.

[0067] According to an embodiment of the present invention, in the step S4, the ultrasonic thickness measurement device 3 includes the following structure:

[0068] A motion control unit, used to precisely control the motion path of the ultrasonic transmitting and receiving unit, and ensure the completeness and accuracy of the scan;

[0069] An ultrasonic transmitting and receiving unit, used to transmit ultrasonic waves to the tire and receive the ultrasonic wave signals reflected back;

[0070] The post - processing unit integrates the data collected by the scanning device 2 and the ultrasonic thickness - measuring device 3, extracts characteristic values, and scores and grades them.

[0071] This technical solution includes a motion control unit, an ultrasonic transmitting and receiving unit, and a post - processing unit to ensure the accuracy of the ultrasonic thickness - measuring process and the effectiveness of data processing.

[0072] According to an embodiment of the present invention, in the step S4, the measurement object of the ultrasonic thickness - measuring device 3 is the rubber thickness from the outer wall of the tire to the carcass curve 5. By continuously calibrating the position point values of the rubber thickness in the cross - sectional view, the fitted carcass curve 5 is obtained.

[0073] This technical solution clarifies the measurement object and method of the ultrasonic thickness - measuring device 3, that is, continuously calibrating the rubber thickness from the outer wall of the tire to the carcass curve 5 to obtain accurate information of the carcass curve 5.

[0074] According to an embodiment of the present invention, in the step S5, measuring multiple times means that the scanning device 2 measures multiple times and the ultrasonic thickness - measuring device measures multiple times. Among them:

[0075] The scanning device 2 scans the inner contour 7 and the outer contour 6 clockwise respectively; then scans the inner contour 7 and the outer contour 6 counterclockwise.

[0076] The ultrasonic thickness - measuring device 3 contacts the laser point 8 clockwise respectively; then contacts the laser point 8 counterclockwise respectively.

[0077] This technical solution refines the multiple - measurement methods of the scanning device 2 and the ultrasonic thickness - measuring device 3, including clockwise and counterclockwise scanning and thickness - measuring, to ensure the comprehensiveness and accuracy of the measurement results.

[0078] According to an embodiment of the present invention, in the step S5, the grading process of the carcass curve 5 includes the following specific steps:

[0079] If the error between the recognized carcass curve and the standard carcass curve is less than or equal to 4 mm, the carcass curve is considered qualified.

[0080] If the error between the recognized carcass curve and the standard carcass curve is greater than 4 mm, the carcass curve is considered to have excessive deformation and is unqualified.

[0081] This technical solution specifically stipulates the standard for the grading process of the tire, that is, judging whether the tire is qualified according to the error range between the recognized carcass curve and the standard curve to ensure that the tire quality meets the standard.

[0082] Embodiment 2

[0083] Based on Embodiment 1, the following steps of the method for identifying and verifying the non-destructive carcass curve of construction machinery tires are provided in this embodiment.

[0084] S6. Statistically process the grading of the carcass curve 5, determine the process where the production line corresponding to the unqualified product is located according to the statistical results, conduct traceability, and promptly feedback to the corresponding process for improvement.

[0085] Through analyzing the grading process data, this technical solution can accurately identify products that do not meet the standards and quickly locate their production sources, that is, the processes where the production lines are located, to promptly discover problem links and ensure that information is quickly fed back to the persons in charge of relevant processes. Through an efficient communication mechanism, it promotes the optimization and adjustment of the production process to reduce the generation of unqualified products and improve the overall product quality control level.

[0086] In addition, statistically process the problems that occur in the processes where the production lines for traceability are located, such as equipment failures, improper operations, or raw material problems; formulate specific improvement measures for the diagnosed problems, such as adjusting equipment parameters, improving production processes, strengthening employee training, or replacing suppliers, etc. And promptly improve the grading criteria in step S5 to make it have accurate grading basis for each different specification of engineering tires.

[0087] This invention adopts non-contact high-precision scanning and ultrasonic thickness measurement technologies to accurately obtain the data of the inner and outer contours 6 of the tire, measure the thickness of the rubber layer with millimeter-level precision, and avoid physical contact errors and damages. Take the average of multiple measurements to eliminate random errors and ensure the accuracy of the measurement results; this invention integrates automated devices such as scanners, lasers, and servers to realize the full automation from measurement to identification; optimize motion control, and multiple groups of scanning devices 2 on the circular track operate synchronously to scan the inner and outer contours 6 synchronously, greatly improving the measurement efficiency and the automation level of the production line.

[0088] Although the present invention has been described in detail by referring to the accompanying drawings and in combination with the preferred embodiments, the present invention is not limited thereto. Without departing from the spirit and essence of the present invention, those of ordinary skill in the art make various equivalent modifications or substitutions to the embodiments of the present invention, and these modifications or substitutions should all be within the scope of the present invention. / Any person familiar with the technical field of the present invention can easily think of changes or substitutions within the technical scope disclosed by the present invention, and all should be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.

Claims

1. A non-destructive tire body curve identification and verification method for an engineering machinery tire, characterized in that: The steps include: S1. Preparation before measurement: placing the vulcanized engineering machinery tire (1) on a measuring platform, and measuring the curve of the internal steel wire skeleton material of the engineering machinery tire (1), i.e., the carcass curve (5); S2, scanning of the profile: using a scanning device (2) disposed on the measuring platform, respectively scanning the data of the inner profile (7) and the outer profile (6) of the engineering machinery tire (1), and the scanning device (2) synchronously transmits the data to the server; S3, points of the cross-sectional diagram: the server outputs a cross-sectional diagram corresponding to the engineering machinery tire (1), and sets points (4) of different densities along the crown, shoulder, and sidewall according to the type of the engineering machinery tire (1); S4, ultrasonic thickness measurement: the server controls the laser to project a laser point (8) along the inner contour (7) and the outer contour (6) according to the position of the point (4) on the cross-sectional view, and the ultrasonic thickness measuring device (3) detects along the laser points one by one, and the distance information fed back by the detection is entered into the server. The server obtains the position point value according to the corresponding distance information, and obtains the real carcass curve by fitting the position point value; S5, identification and verification: repeat steps S2 to S4, measure multiple times and take the average value of the real carcass curve, and finally obtain the identified carcass curve; verify it with the standard carcass curve, and perform grade processing on the carcass curve (5).

2. The non-destructive tire carcass curve identification and verification method of an engineering machinery tire according to claim 1, characterized in that: In step S1, the measuring platform includes the following structure: The scanning device (2) includes a high-precision laser sensor for performing a full-scale scan of the inner contour (7) and the outer contour (6) to obtain dense and accurate point cloud data; The motion control device comprises two inner and outer annular tracks and a support, the support being slidably arranged on the annular tracks, and a scanning device (2) being fixed on the support for driving the scanning device (2) to scan along the motion track; A laser is arranged on a circular track and projects a laser point (8) onto the inner contour (7) and the outer contour (6) respectively, so as to guide the contact position of the ultrasonic thickness measuring device (3); The server includes a data acquisition and processing unit, a display and storage unit, wherein: A data acquisition and processing unit, used for collecting data acquired by the scanning device (2), and performing filtering, noise reduction, and splicing, thereby obtaining a cross-sectional view of the engineering machinery tire (1); The display and storage unit is used to present and store the processed data, and integrate the scanned files with the design drawings to generate the points (4).

3. The non-destructive carcass curve identification and verification method of an engineering machinery tire according to claim 2, characterized in that: In the motion control device of step S1, at least two sets of scanning devices (2) are installed on the circular track to scan the inner contour (7) and the outer contour (6) respectively and simultaneously.

4. The non-destructive carcass curve identification and verification method of an engineering machinery tire according to claim 3, characterized in that: In step S4, the ultrasonic thickness measuring device (3) comprises the following structure: Motion control unit, used to precisely control the motion path of the ultrasonic transmitting and receiving units to ensure the completeness and accuracy of the scan; An ultrasonic transmitting and receiving unit, used for transmitting ultrasonic waves to the tire and receiving ultrasonic signals reflected back; The post-processing unit integrates the data collected by the scanning device (2) and the ultrasonic thickness measuring device (3), extracts characteristic values ​​for scoring and grading.

5. The non-destructive carcass curve identification and verification method of an engineering machinery tire according to claim 1 or 4, characterized in that: In the step S4, the ultrasonic thickness measuring device (3) measures the rubber thickness from the tire outer wall to the carcass curve (5), and obtains the fitted carcass curve (5) by continuously calibrating the position point values ​​of the rubber thickness in the cross-sectional diagram.

6. The non-destructive carcass curve identification and verification method of an engineering machinery tire according to claim 5, characterized in that: In step S5, measuring multiple times means that the scanning device (2) measures multiple times and the ultrasonic thickness measurement is performed multiple times, wherein: The scanning device (2) scans the inner contour (7) and the outer contour (6) in a clockwise direction respectively; and then scans the inner contour (7) and the outer contour (6) in a counterclockwise direction; The ultrasonic thickness measuring device (3) contacts the laser point (8) in a clockwise direction, and then contacts the laser point (8) in a counterclockwise direction.

7. The non-destructive carcass curve identification and verification method of an engineering machinery tire according to claim 1 or 6, characterized in that: In the step S5, the carcass curve (5) is graded, including the following specific steps: If the error between the identified carcass curve and the standard carcass curve is less than or equal to 4 mm, the carcass curve (5) is considered qualified; If the error between the identified carcass curve and the standard carcass curve is greater than 4 mm, it is considered that the carcass curve (5) is too deformed and unqualified.

Images