Lossless tire body curve identification and verification method of off-the-road tire

Abstract

The invention relates to the technical field of off-the-road tires, in particular to a lossless tire body curve identification and verification method of an off-the-road tire. The method comprises the following steps: placing a processed off-the-road tire on a measuring platform, and respectively scanning data of an inner contour and an outer contour of the off-the-road tire by using a scanning device arranged on the measuring platform; according to the type of the off-the-road tire, points with different densities are arranged along a tire crown, a tire shoulder and a tire side; the laser is controlled to project laser points along the inner contour and the outer contour, the ultrasonic thickness measuring device carries out detection one by one along the laser points, position point values are fitted to obtain a real tire body curve, and grade judgment processing is carried out on the tire body curve. According to the method, measurement errors and tire damage caused by physical contact are avoided, a method of averaging by multiple measurements is combined, random errors of single measurement are effectively eliminated, the accuracy of a measurement result is improved, and finally grade judgment processing of a tire body curve is achieved.

Description

Technical Field

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

[0002] In the engineering tire industry, the tire carcass curve design 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 10,000 yuan), but the cutting and analysis process is time-consuming and lengthy, which seriously restricts efficiency and has never achieved the goal of non-destructive testing. In order to overcome the above technical bottlenecks, technical personnel in this field continue to work hard. For example, the laser point drawing method disclosed in Chinese patent CN112765698A, although it improves the non-contact and flexibility of measurement to a certain extent, still needs to be optimized to meet the needs of higher accuracy, 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 non-destructive carcass curve identification and verification method for an engineering machinery tire.

[0004] The technical solution adopted by the present invention is as follows: A non-destructive tire body curve identification and verification method for an engineering machinery tire comprises the following steps: S1. Preparation before measurement: Place the finished engineering machinery tire on the measuring platform, the curve of the internal steel wire skeleton material of the engineering machinery tire is the carcass curve; S2. Scanning of the profile: using a scanning device disposed on the measuring platform to scan the data of the inner profile and the outer profile of the engineering machinery tire respectively, and the scanning device synchronously transmits the data to the server; S3, points of the cross-section diagram: the server outputs the cross-section diagram of the corresponding engineering machinery tire, and sets points of different densities along the crown, shoulder, and sidewall according to the type of the engineering machinery tire; S4. Ultrasonic thickness measurement: The server controls the laser to project laser points along the inner and outer contours according to the positions of the points on the cross-sectional diagram. The ultrasonic thickness measuring device detects along the laser points one by one. 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 fits the position point value to obtain the real carcass curve. 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.

[0005] This technical solution is used to accurately measure and verify the tire carcass curve to ensure the quality of the tire. Through the steps of preparing measurement, scanning profile, point section, ultrasonic thickness measurement and multiple measurement verification, the carcass curve is finally graded. Specifically, a scanning device is used to perform non-contact measurement of the tire to obtain accurate data of its inner and outer contours to avoid 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 data processing (such as filtering, noise reduction, splicing, etc.) to generate a cross-sectional view of the tire; on the cross-sectional view, points of different densities are set along the crown, shoulder and sidewall according to the tire type. The points of different densities are set in different areas because these areas are subjected to different stresses and deformations in the tire structure and use, and more precise measurement and analysis are required; an ultrasonic thickness measuring device 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 reflected signal, with an accuracy of millimeters; the laser projected laser point is used as a guide for the ultrasonic thickness measuring device to ensure the accuracy and consistency of the measurement. The server calculates the true tire body curve based on the distance information fed back by the ultrasonic thickness measuring device and the position of the points; repeats the scanning and thickness measuring operations and takes the average of multiple measurements to eliminate random errors and uncertainties in a single measurement and improve the reliability of the measurement results; data fusion technology comprehensively processes the results of multiple measurements to obtain more accurate and reliable tire body curve data; compares the identified tire body curve with the standard tire body curve, and evaluates the quality of the tire by calculating the error between the two. Based on the preset error range and standards, it can objectively evaluate whether the tire meets the quality requirements; and grades the tire body curve according to the comparison results, that is, the tire is classified into qualified and unqualified grades according to the size of the error.

[0006] In addition, the non-destructive tire body curve identification and verification method for engineering machinery tires proposed in the present invention also has the following additional technical features: According to one embodiment of the present invention, in step S1, the measuring platform includes the following structure: Scanning device, including high-precision laser sensor, used to perform all-round scanning of inner and outer contours to obtain dense and accurate point cloud data; The motion control device comprises two inner and outer annular tracks and a support, wherein the support is slidably arranged on the annular track, and a scanning device is fixed on the support for driving the scanning device to scan along the motion track; A laser is arranged on a circular track, and projects laser points toward the inner contour and the outer contour respectively, so as to guide the contact position of the ultrasonic thickness measuring device; The server includes a data acquisition and processing unit, a display and storage unit, wherein: The data acquisition and processing unit is used to collect the data acquired by the scanning device, and to filter, reduce noise, and splice the data to obtain a cross-sectional view of the engineering machinery tire; 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 points.

[0007] The technical solution includes a high-precision scanning device, a motion control device, a laser and a server, etc., to support a non-destructive tire body curve recognition and verification method for engineering machinery tires, and ensure accurate acquisition and processing of scanning data.

[0008] 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 circular track to scan the inner contour and the outer contour simultaneously.

[0009] This technical solution optimizes the motion control device and installs at least two sets of scanning devices on the circular track to achieve simultaneous scanning of the inner contour and the outer contour, thereby improving measurement efficiency and accuracy.

[0010] According to one embodiment of the present invention, in step S4, the ultrasonic thickness measuring device includes 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 and the ultrasonic thickness measuring device, extracts characteristic values ​​for scoring and grading.

[0011] The technical solution includes a motion control unit, an ultrasonic transmitting and receiving unit and a post-processing unit, which ensure the accuracy of the ultrasonic thickness measurement process and the effectiveness of data processing.

[0012] According to an embodiment of the present invention, in step S4, the ultrasonic thickness measuring device measures the rubber thickness from the tire outer wall to the carcass curve, and obtains the fitted carcass curve by continuously calibrating the position point values ​​of the rubber thickness in the cross-sectional diagram.

[0013] The technical solution clarifies the measurement object and method of the ultrasonic thickness measuring device, that is, continuously calibrates the rubber thickness from the tire outer wall to the carcass curve to obtain accurate carcass curve information.

[0014] According to an embodiment of the present invention, in step S5, measuring multiple times means that the scanning device measures multiple times and the ultrasonic thickness measurement measures multiple times, wherein: The scanning device scans the inner contour and the outer contour in a clockwise direction respectively; and then scans the inner contour and the outer contour in a counterclockwise direction; The ultrasonic thickness measuring device contacts the laser points in a clockwise direction, and then contacts the laser points in a counterclockwise direction.

[0015] This technical solution ensures the comprehensiveness and accuracy of the measurement results by refining the multiple measurement methods of the scanning device and the ultrasonic thickness measuring device, including scanning and thickness measurement in clockwise and counterclockwise directions.

[0016] According to an embodiment of the present invention, in step S5, the carcass curve 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 4mm, the carcass curve is considered qualified; If the error between the identified carcass curve and the standard carcass curve is greater than 4mm, it is considered that the carcass curve is deformed too much and is unqualified.

[0017] The technical solution specifies the standard for tire grading, that is, judging whether the tire is qualified or not according to the error range between the identified carcass curve and the standard curve, so as to ensure that the tire quality meets the standard.

[0018] Compared with the prior art, the present invention has the following beneficial effects: (1) Through non-contact high-precision scanning devices and ultrasonic thickness measurement technology, the internal and external contour data of engineering machinery tires can be accurately obtained, and the thickness of the tire rubber layer can be measured accurately 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 a single measurement can be effectively eliminated, thereby improving the accuracy of the measurement results; (2) Integrate high-precision scanning devices, lasers, servers and other automated equipment to achieve full automation from measurement preparation to tire body curve recognition; at the same time, by optimizing the motion control device, multiple sets of scanning devices are installed on the circular track to achieve simultaneous scanning of the inner and outer contours of the tire, significantly improving measurement efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a flow diagram of the method of the present invention.

[0020] Figure 2 It is a cross-sectional view of an engineering machinery tire.

[0021] Figure 3 It is a structural diagram of the carcass curve.

[0022] Figure 4 It is a schematic diagram of the structure of the scanning device.

[0023] Figure 5 It is a structural schematic diagram of an ultrasonic thickness measuring device.

[0024] In the figure: 1. Engineering machinery tire; 2. Scanning device; 3. Ultrasonic thickness measuring device; 4. Points; 5. Carcass curve; 6. Outer contour; 7. Inner contour; 8. Laser point. DETAILED DESCRIPTION

[0025] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] Example 1 like Figure 1 As shown, this embodiment provides a non-destructive tire body curve identification and verification method for an engineering machinery tire, comprising the following steps: S1. Preparation before measurement: Place the finished engineering machinery tire 1 on the measuring platform. The curve of the internal steel wire skeleton material of the engineering machinery tire 1, i.e., the carcass curve 5, is as follows: Figures 2 to 3 As shown; S2, contour scanning: using the scanning device 2 disposed on the measuring platform, respectively scan the data of the inner contour 7 and the outer contour 6 of the engineering machinery tire 1, and the scanning device 2 synchronously transmits the data to the server, such as Figure 4 As shown; S3, points of the cross-sectional view: the server outputs the cross-sectional view 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 the 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 fits the position point value to obtain the real carcass curve, such as Figure 5 As shown; 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 judgment on the carcass curve 5.

[0027] like Figures 1 to 5As shown, the technical solution is used to accurately measure and verify the tire carcass curve 5 to ensure the quality of the tire. Through the steps of preparing for measurement, scanning contour, dividing point 4 section, ultrasonic thickness measurement and multiple measurement verification, the carcass curve 5 is finally graded. 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 to avoid 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 data processing (such as filtering, noise reduction, splicing, etc.) to generate a cross-sectional view of the tire; on the cross-sectional view, points 4 of different densities are set along the crown, shoulder and sidewall according to the tire type. Different areas are set with different densities of points 4 because these areas are subjected to different stresses and deformations in the tire structure and use, and more precise measurement and analysis are required; non-destructive measurement is performed using an ultrasonic thickness measuring device 3, and the thickness of the tire rubber layer is calculated by emitting ultrasonic waves to the tire and receiving the reflected signal, with an accuracy of millimeters; the laser projected laser point 8 is used as a guide for the ultrasonic thickness measuring device 3 to ensure the accuracy and consistency of the measurement. The server calculates the real carcass curve based on the distance information fed back by the ultrasonic thickness measuring device 3 and the position of the dividing point 4; repeats the scanning and thickness measuring operations and takes the average value of multiple measurements to eliminate the random error and uncertainty in a single measurement and improve the reliability of the measurement result; the data fusion technology comprehensively processes the results of multiple measurements to obtain more accurate and reliable carcass curve 5 data; compares the identified carcass curve with the standard carcass curve, and evaluates the quality of the tire by calculating the error between the two. Based on the preset error range and standard, it can objectively evaluate whether the tire meets the quality requirements; and performs grading processing on the carcass curve 5 according to the comparison result, that is, the tire is classified into qualified and unqualified grades according to the error size.

[0028] In addition, the non-destructive tire body curve identification and verification method for engineering machinery tires proposed in the present invention also has the following additional technical features: According to one embodiment of the present invention, in step S1, the measuring platform includes the following structure: The scanning device 2 includes a high-precision laser sensor for performing an all-round scanning 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 is slidably arranged on the annular track, a scanning device 2 is fixed on the support, and is used to drive the scanning device 2 to scan along the motion track; A laser, arranged on a circular track, projects a laser point 8 onto the inner contour 7 and the outer contour 6 respectively, for guiding 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 to collect data acquired by the scanning device 2, and to filter, reduce noise, and splice the data, so as to obtain 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 point 4.

[0029] The technical solution includes a high-precision scanning device 2, a motion control device, a laser and a server, etc., to support a non-destructive tire body curve identification and verification method for engineering machinery tires, and ensure accurate acquisition and processing of scanning data.

[0030] According to an embodiment of the present invention, in the motion control device of step S1, at least two groups of scanning devices 2 are installed on the circular track to scan the inner contour 7 and the outer contour 6 respectively and simultaneously.

[0031] This technical solution optimizes the motion control device and installs at least two sets of scanning devices 2 on the circular track to achieve simultaneous scanning of the inner contour 7 and the outer contour, thereby improving the measurement efficiency and accuracy.

[0032] According to one embodiment of the present invention, in step S4, the ultrasonic thickness measuring device 3 includes 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.

[0033] The technical solution includes a motion control unit, an ultrasonic transmitting and receiving unit and a post-processing unit, which ensure the accuracy of the ultrasonic thickness measurement process and the effectiveness of data processing.

[0034] According to one embodiment of the present invention, in step S4, the ultrasonic thickness measuring device 3 measures the rubber thickness from the tire outer wall to the carcass curve 5, and the fitted carcass curve 5 is obtained by continuously calibrating the position point values ​​of the rubber thickness in the cross-sectional diagram.

[0035] This technical solution clarifies the measurement object and method of the ultrasonic thickness measuring device 3, that is, continuously calibrates the rubber thickness from the tire outer wall to the carcass curve 5, so as to obtain accurate carcass curve 5 information.

[0036] According to an embodiment of the present invention, in step S5, measuring multiple times means that the scanning device 2 measures multiple times and the ultrasonic thickness measurement measures multiple times, wherein: The scanning device 2 scans the inner contour 7 and the outer contour 6 in a clockwise direction, 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.

[0037] The technical solution ensures the comprehensiveness and accuracy of the measurement results by refining the multiple measurement methods of the scanning device 2 and the ultrasonic thickness measuring device 3, including scanning and thickness measuring in clockwise and counterclockwise directions.

[0038] According to an embodiment of the present invention, in 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 4mm, the carcass curve is considered qualified; If the error between the identified carcass curve and the standard carcass curve is greater than 4mm, it is considered that the carcass curve is deformed too much and is unqualified.

[0039] The technical solution specifies the standard for tire grading, that is, judging whether the tire is qualified or not according to the error range between the identified carcass curve and the standard curve, so as to ensure that the tire quality meets the standard.

[0040] Example 2 Based on Example 1, this example provides subsequent steps of the method for non-destructive carcass curve identification and verification of an engineering machinery tire.

[0041] S6. The grading process of the carcass curve 5 is statistically analyzed, and the process of the production line corresponding to the unqualified product is determined according to the statistical result, and the source is traced, and timely feedback is given to the corresponding process for improvement.

[0042] This technical solution can accurately identify products that do not meet the standards by analyzing the grade judgment data, and quickly locate their production source, that is, the process of the assembly line, to promptly find the problem link and ensure that the information is quickly fed back to the person in charge of the relevant process. Through an efficient communication mechanism, it promotes the optimization and adjustment of the production process to reduce the generation of defective products and improve the overall product quality control level.

[0043] In addition, the problems that occur in the process of the traceable assembly line are counted, such as equipment failure, improper operation or raw material problems; specific improvement measures are formulated for the diagnosed problems, such as adjusting equipment parameters, improving production processes, strengthening employee training or changing suppliers, etc. The grading standard of step S5 is improved in a timely manner so that it has an accurate basis for grading each engineering tire of different specifications.

[0044] The present invention adopts non-contact high-precision scanning and ultrasonic thickness measurement technology 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 accuracy, and avoid physical contact errors and damage. Multiple measurements are averaged to eliminate random errors and ensure that the measurement results are accurate and correct; the present invention integrates scanning, laser, server and other automation equipment to achieve full automation from measurement to identification; optimizes motion control, and multiple scanning devices 2 of the circular track work synchronously, and the inner and outer contours 6 are scanned synchronously, which greatly improves the measurement efficiency and the automation level of the production line.

[0045] Although the present invention is 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, a person of ordinary skill in the art may make various equivalent modifications or substitutions to the embodiments of the present invention, and these modifications or substitutions shall be within the scope of the present invention. Any person of ordinary skill in the art may easily think of changes or substitutions within the technical scope disclosed by the present invention, and these shall be within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be subject to the scope of protection 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, contour scanning: using a scanning device (2) disposed on the measuring platform, respectively scanning the data of the inner contour (7) and the outer contour (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.

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