Aurora testing system and method for uniform fabric
By combining a high-resolution industrial camera and a 3D scanner with a gloss meter, the problem of insufficient fiber orientation measurement in existing technologies was solved, and accurate quantitative evaluation and quality control of the aurora phenomenon in uniform fabrics were achieved.
Patent Information
- Application Number
- CN202510850197.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-24
- Publication Date
- 2025-09-05
AI Technical Summary
Existing technologies lack intelligent measurement of fiber orientation and rely solely on surface reflective features for aurora detection, resulting in insufficient detection accuracy and reliability. There is also a lack of quantitative comparison of the glossiness of aurora tests, making it impossible to accurately assess the impact of aurora on the glossiness of uniform fabrics.
A high-resolution industrial camera combined with a deep learning algorithm is used to calibrate the fabric area, a high-precision 3D scanner is used to measure the fiber orientation, a gloss meter is used to perform initial gloss measurement and aurora test gloss comparison, and machine vision and artificial intelligence are used to simulate the aurora phenomenon to achieve quantitative evaluation.
It achieves accurate quantitative evaluation of the aurora phenomenon of uniform fabrics, ensures the representativeness of the sampling area, improves the accuracy and reliability of detection, and provides strong support for fabric quality control.
Smart Images

Figure CN120594464A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of optical detection technology, and more particularly to an aurora testing system and method for uniform fabrics. Background Art
[0002] The aurora phenomenon refers to the abnormal increase in surface gloss or the appearance of mottled light spots when a fabric is subjected to frequent friction, pressure, or stretching, seriously affecting the appearance of clothing. This problem is particularly prominent in wool and blended uniform fabrics. In the early days, the industry relied on manual visual judgment of the degree of aurora, but this was highly subjective and lacked quantitative standards, resulting in large fluctuations in the quality of different batches of fabric. Currently, the detection of aurora phenomenon in uniform fabrics mainly relies on traditional gloss metering, which has obvious limitations. Manual visual inspection is highly subjective, greatly affected by ambient light and personnel experience, and cannot provide quantitative data. While ordinary gloss meters can measure surface reflectivity, they have difficulty distinguishing aurora from normal highlight areas, resulting in a high rate of misjudgment.
[0003] In recent years, machine vision and artificial intelligence technologies have been gradually applied in the field of textile inspection, providing new solutions for aurora testing. Through multi-angle light source imaging and image analysis algorithms, the reflective characteristics of the fabric surface can be accurately captured. Combined with AI models, aurora can be distinguished from ordinary gloss, enabling automated inspection. However, existing technologies lack intelligent measurement of fiber orientation, relying solely on surface reflective characteristics for judgment. They lack quantitative measurement of the microscopic arrangement direction of fibers and fail to combine fiber orientation with gloss changes for comprehensive analysis. As a result, the accuracy and reliability of aurora detection still need to be improved. Furthermore, there is a lack of quantitative comparison of aurora test gloss, making it impossible to accurately assess the impact of aurora on the gloss of uniform fabrics. Summary of the Invention
[0004] In order to overcome the above-mentioned defects of the prior art, the present invention provides an aurora testing system for uniform fabrics to solve the problems existing in the above-mentioned background technology.
[0005] The present invention provides the following technical solution: an Aurora testing system for uniform fabrics, comprising: a fabric area calibration module to be tested, a three-dimensional fiber orientation analysis module, an initial gloss measurement module, an Aurora test gloss comparison module, and a uniform fabric gloss evaluation module; The fabric area calibration module, based on the automatic positioning function of machine vision, uses a high-resolution industrial camera combined with a deep learning algorithm to identify the uniformity of the fabric to be tested in real time, and calibrates the sampling area of the fabric to be tested to obtain the sampled fabric; The three-dimensional fiber orientation analysis module uses a high-precision three-dimensional scanner to perform non-contact measurement of the fiber orientation on the surface of the sampled fabric, obtains the three-dimensional arrangement information of the fibers, distinguishes the warp and weft directions of the sampled fabric, and marks them separately; The initial gloss measurement module calibrates the gloss meter and reads the initial gloss value of the sampled fabric through the gloss meter after calibration, wherein the initial gloss value includes the initial warp gloss and the initial weft gloss; The aurora test gloss comparison module rubs the sample fabric's polished surface against the abrasive friction surface on the aurora generating device's polishing table to obtain the sample fabric's gloss after the aurora occurs, and compares and analyzes the sample fabric's gloss before and after the aurora test. The uniform fabric glossiness evaluation module receives comparative analysis results of the sampled fabric glossiness before and after the Aurora test, and performs a comprehensive evaluation on the uniform fabric Aurora test.
[0006] Preferably, the specific contents of the sampling fabric area calibration module are as follows: The automatic positioning function based on machine vision is used to obtain the regional position of the fabric to be tested, and a high-resolution industrial camera is used to obtain a high-resolution image of the fabric to be tested. The pixel feature values of different areas of the fabric to be tested are identified in combination with a deep learning algorithm, and the pixel feature values are compared with a preset judgment threshold range. If the pixel feature values of different positions of the fabric to be tested are all within the preset judgment threshold range, the fabric uniformity of the fabric to be tested is judged to be high, otherwise, the fabric uniformity of the fabric to be tested is judged to be low; When it is judged that the uniformity of the fabric to be tested is high, the sampling area of the fabric to be tested is calibrated, and the sampling area is a circle with a diameter of 4 cm. When it is judged that the uniformity of the fabric to be tested is low, the sampling area of the fabric to be tested is calibrated, and multiple sampling fabrics are obtained. The sampling areas are multiple circles with a diameter of 4 cm, including areas where the pixel characteristic values are within the preset judgment threshold range and areas where the pixel characteristic values are not within the preset judgment threshold range.
[0007] Preferably, the specific contents of the three-dimensional fiber orientation analysis module are as follows: A high-precision 3D scanner is used to project a laser line onto the surface of the sampled fabric, and the height of the sampled fabric surface point is analyzed based on the distance between the laser emission point of the 3D scanner and the baseline of the camera, the angle between the laser plane and the baseline, and the focal length of the camera; After continuously scanning to obtain point cloud data, a continuous surface model of the sampled fabric is generated through surface fitting; Divide the surface into n local windows and calculate the gradient direction angles of all points in each window; The direction corresponding to the maximum value of the gradient direction angle of each window is the local main gradient direction , and obtain the fiber orientation angle of each window based on the local main gradient direction; The angle deviation between the fiber orientation angle of each window and the preset reference direction is analyzed, where the fiber orientation angle corresponding to the minimum deviation is the warp direction of the fabric, and the warp direction plus or minus 90 degrees is the weft direction of the fabric.
[0008] Preferably, the specific contents of the initial gloss measurement module are as follows: Calibrate the gloss meter: When calibrating regular reflection, place the corresponding standard plate on the measurement area and rotate it until the regular reflection value reaches 100 and the diffuse reflection value is 0, indicating that the regular reflection calibration is successful. Use the diffuse reflection calibration plate until the diffuse reflection value reaches 100 and the regular reflection value is 0, indicating that the diffuse reflection calibration is successful. After the calibration is successful, a calibration completion prompt will be issued. Read the initial gloss value of the sample fabric: Place the sample fabric face up, stick it on the sample table according to the warp marking line, place the sample table on the measurement area, read the initial warp gloss of the sample fabric, and rotate the sample table 90° clockwise to read the initial weft gloss of the sample fabric.
[0009] Preferably, the specific content of the aurora test gloss comparison module is as follows: The sample fabric is subjected to friction treatment on the abrasive friction surface of the grinding table of the aurora generating device: the operation button is turned on to cause the sample fabric to rub against the abrasive until the preset number of revolutions is reached, and the aurora generating device automatically stops running, completing the aurora test of the sample fabric; Returning the sampled fabric after the aurora occurs to the initial gloss measurement module to perform gloss measurement after the aurora occurs, wherein the gloss measurement includes warp gloss and weft gloss; The initial warp gloss and initial weft gloss of the sampled fabric were compared with the warp gloss and weft gloss of the sampled fabric after the aurora occurred, and the warp gloss change rate and weft gloss change rate of the sampled fabric were calculated.
[0010] Preferably, the specific contents of the uniform fabric glossiness evaluation module are as follows: receiving comparative analysis results of the glossiness of the sampled fabric before and after the aurora test, wherein the results represent a warp glossiness change rate of the sampled fabric and a weft glossiness change rate of the sampled fabric; When obtaining multiple sample fabrics, taking the average value of the warp gloss change rates of the multiple sample fabrics as the warp gloss change rate of the final sample fabric, and taking the average value of the weft gloss change rates of the multiple sample fabrics as the weft gloss change rate of the final sample fabric; The maximum value of the warp gloss change rate and the weft gloss change rate of the sampled fabric is taken as the gloss change rate of the fabric to be tested, which is compared with the preset aurora judgment interval to conduct a comprehensive evaluation of the aurora test of uniform fabrics.
[0011] A method for aurora testing of uniform fabrics, comprising the following steps: Step S01: using a high-resolution industrial camera combined with a deep learning algorithm to identify the uniformity of the fabric to be tested in real time, and calibrating the sampling area of the fabric to be tested to obtain the sampled fabric; Step S02: performing non-contact measurement on the fiber orientation of the sampled fabric surface to obtain three-dimensional fiber arrangement information, distinguishing the warp and weft directions of the sampled fabric and marking them separately; Step S03: performing a calibration operation on the gloss meter, and reading the initial gloss value of the sampled fabric through the gloss meter after calibration; Step S04: rubbing the abrasive surface of the sampled fabric against the abrasive friction surface on the grinding table of the aurora generating device to obtain the glossiness of the sampled fabric after the aurora is generated, and performing a comparative analysis of the glossiness of the sampled fabric before and after the aurora test; Step S05: receiving comparative analysis results of the sampled fabric glossiness before and after the Aurora test, and performing a comprehensive evaluation of the uniform fabric Aurora test.
[0012] The technical effects and advantages of the present invention are as follows: The present invention realizes accurate quantitative evaluation of the aurora phenomenon of uniform fabrics by providing a fabric area calibration module to be tested, a three-dimensional fiber orientation analysis module, an initial gloss measurement module, an aurora test gloss comparison module, and a uniform fabric gloss evaluation module. During the sampling area calibration process, machine vision technology combined with deep learning algorithms can automatically identify the fabric uniformity of the fabric to be tested, ensuring the representativeness of the sampling area and effectively avoiding the deviation caused by random sampling. At the same time, the three-dimensional fiber orientation analysis module can accurately measure the fiber orientation of the sampled fabric surface, providing accurate basic data for subsequent gloss measurement and aurora testing. The sampled fabrics were also rubbed using the Aurora test gloss comparison module to simulate the Aurora phenomenon during actual wearing. By comparing and analyzing the glossiness of the sampled fabrics before and after the Aurora test, a quantitative evaluation of the Aurora phenomenon of the uniform fabrics was achieved. Based on the comparative analysis results, a comprehensive evaluation of the Aurora test of the uniform fabrics was conducted, providing strong support for fabric quality control. BRIEF DESCRIPTION OF THE DRAWINGS
[0013] Figure 1 Schematic diagram of the structure of an aurora testing system for uniform fabrics.
[0014] Figure 2 Schematic diagram of the flow chart of the Aurora test method for uniform fabrics. DETAILED DESCRIPTION
[0015] The technical solutions of the present invention will be described clearly and completely below in conjunction with the drawings in the present invention. In addition, the forms of the various structures described in the following embodiments are merely examples. The aurora testing system and method for uniform fabrics involved in the present invention are not limited to the various structures described in the following embodiments. All other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.
[0016] like Figure 1 As shown, the present invention provides an Aurora testing system for uniform fabrics, comprising: a fabric area calibration module to be tested, a three-dimensional fiber orientation analysis module, an initial gloss measurement module, an Aurora test gloss comparison module, and a uniform fabric gloss evaluation module; The fabric area calibration module, based on the automatic positioning function of machine vision, uses a high-resolution industrial camera combined with a deep learning algorithm to identify the uniformity of the fabric to be tested in real time, and calibrates the sampling area of the fabric to be tested to obtain the sampled fabric; The three-dimensional fiber orientation analysis module uses a high-precision three-dimensional scanner to perform non-contact measurement of the fiber orientation on the surface of the sampled fabric, obtains the three-dimensional arrangement information of the fibers, distinguishes the warp and weft directions of the sampled fabric, and marks them separately; The initial gloss measurement module calibrates the gloss meter and reads the initial gloss value of the sampled fabric through the gloss meter after calibration, wherein the initial gloss value includes the initial warp gloss and the initial weft gloss; The aurora test gloss comparison module rubs the sample fabric's polished surface against the abrasive friction surface on the aurora generating device's polishing table to obtain the sample fabric's gloss after the aurora occurs, and compares and analyzes the sample fabric's gloss before and after the aurora test. The uniform fabric glossiness evaluation module receives comparative analysis results of the sampled fabric glossiness before and after the Aurora test, and performs a comprehensive evaluation on the uniform fabric Aurora test.
[0017] In this embodiment, it should be specifically explained that the specific contents of the sampled fabric area calibration module are as follows: The automatic positioning function based on machine vision is used to obtain the regional position of the fabric to be tested, and a high-resolution industrial camera is used to obtain a high-resolution image of the fabric to be tested. The pixel feature values of different areas of the fabric to be tested are identified in combination with a deep learning algorithm, and the pixel feature values are compared with a preset judgment threshold range. If the pixel feature values of different positions of the fabric to be tested are all within the preset judgment threshold range, the fabric uniformity of the fabric to be tested is judged to be high, otherwise, the fabric uniformity of the fabric to be tested is judged to be low; When it is judged that the uniformity of the fabric to be tested is high, the sampling area of the fabric to be tested is calibrated, and the sampling area is a circle with a diameter of 4 cm. When it is judged that the uniformity of the fabric to be tested is low, the sampling area of the fabric to be tested is calibrated, and multiple sampling fabrics are obtained. The sampling areas are multiple circles with a diameter of 4 cm, including areas where the pixel characteristic values are within the preset judgment threshold range and areas where the pixel characteristic values are not within the preset judgment threshold range.
[0018] In this embodiment, it should be specifically explained that the specific contents of the three-dimensional fiber orientation analysis module are as follows: A high-precision 3D scanner is used to project a laser line onto the surface of the sampled fabric. The height of the sampled fabric surface point is analyzed based on the distance between the laser emission point of the 3D scanner and the baseline of the camera, the angle between the laser plane and the baseline, and the focal length of the camera. The calculation formula for the height of the sampled fabric surface point is: ,in Indicates the height of the sampling fabric surface point, Indicates the baseline distance between the laser emission point of the 3D scanner and the camera. represents the angle between the laser plane and the baseline, represents the focal length of the camera, represents the pixel offset of the laser stripe; After continuous scanning to obtain point cloud data, the continuous surface model of the sampled fabric is generated by surface fitting, which is expressed as: ,in Indicates the laser scanning direction, Indicates the extension direction along a single laser line; The surface is divided into n local windows, and the gradient direction angles of all points in each window are calculated. The calculation formula of the gradient direction angle is: ; The direction corresponding to the maximum value of the gradient direction angle of each window is the local main gradient direction , and obtain the fiber orientation angle of each window based on the local main gradient direction. The calculation formula of the fiber orientation angle is: ; The angle deviation between the fiber orientation angle of each window and the preset reference direction is analyzed, where the fiber orientation angle corresponding to the minimum deviation is the warp direction of the fabric, and the warp direction plus or minus 90 degrees is the weft direction of the fabric.
[0019] In this embodiment, it should be specifically explained that the specific contents of the initial gloss measurement module are as follows: Calibrate the gloss meter: When calibrating regular reflection, place the corresponding standard plate on the measurement area and rotate it until the regular reflection value reaches 100 and the diffuse reflection value is 0, indicating that the regular reflection calibration is successful. Use the diffuse reflection calibration plate until the diffuse reflection value reaches 100 and the regular reflection value is 0, indicating that the diffuse reflection calibration is successful. After the calibration is successful, a calibration completion prompt will be issued. Read the initial gloss value of the sample fabric: Place the sample fabric face up, stick it on the sample table according to the warp marking line, place the sample table on the measurement area, read the initial warp gloss of the sample fabric, and rotate the sample table 90° clockwise to read the initial weft gloss of the sample fabric.
[0020] In this embodiment, it should be specifically explained that the specific content of the aurora test gloss comparison module is as follows: The sample fabric is subjected to friction treatment on the abrasive friction surface of the grinding table of the aurora generating device: the operation button is turned on to cause the sample fabric to rub against the abrasive until the preset number of revolutions is reached, and the aurora generating device automatically stops running, completing the aurora test of the sample fabric; Returning the sampled fabric after the aurora occurs to the initial gloss measurement module to perform gloss measurement after the aurora occurs, wherein the gloss measurement includes warp gloss and weft gloss; The initial warp gloss and initial weft gloss of the sampled fabric were compared with the warp gloss and weft gloss of the sampled fabric after the aurora occurred, and the warp gloss change rate and weft gloss change rate of the sampled fabric were calculated. The calculation formula of the warp gloss change rate of the sampled fabric is: ,in Indicates the warp gloss change rate of the sampled fabric, Indicates the warp glossiness of the sampled fabric after aurora occurs, It represents the initial warp gloss of the sampled fabric; The calculation formula of the weft glossiness change rate of the sampled fabric is: ,in It represents the change rate of the weft glossiness of the sampled fabric, Indicates the weft glossiness of the sampled fabric after the aurora occurs, Indicates the initial weft gloss of the sampled fabric.
[0021] In this embodiment, it should be specifically explained that the specific contents of the uniform fabric glossiness evaluation module are as follows: receiving comparative analysis results of the glossiness of the sampled fabric before and after the aurora test, wherein the results represent a warp glossiness change rate of the sampled fabric and a weft glossiness change rate of the sampled fabric; When obtaining multiple sample fabrics, taking the average value of the warp gloss change rates of the multiple sample fabrics as the warp gloss change rate of the final sample fabric, and taking the average value of the weft gloss change rates of the multiple sample fabrics as the weft gloss change rate of the final sample fabric; The maximum value of the warp-wise glossiness change rate and the weft-wise glossiness change rate of the sampled fabric is taken as the glossiness change rate of the fabric to be tested, and compared with the preset aurora judgment interval to conduct a comprehensive evaluation of the aurora test of uniform fabrics. The interval comparison formula for comprehensive evaluation is: .
[0022] like Figure 2 As shown, in this embodiment, it should be specifically explained that a method for aurora testing of uniform fabrics includes the following steps: Step S01: using a high-resolution industrial camera combined with a deep learning algorithm to identify the uniformity of the fabric to be tested in real time, and calibrating the sampling area of the fabric to be tested to obtain the sampled fabric; Step S02: performing non-contact measurement on the fiber orientation of the sampled fabric surface to obtain three-dimensional fiber arrangement information, distinguishing the warp and weft directions of the sampled fabric and marking them separately; Step S03: performing a calibration operation on the gloss meter, and reading the initial gloss value of the sampled fabric through the gloss meter after calibration; Step S04: rubbing the abrasive surface of the sampled fabric against the abrasive friction surface on the grinding table of the aurora generating device to obtain the glossiness of the sampled fabric after the aurora is generated, and performing a comparative analysis of the glossiness of the sampled fabric before and after the aurora test; Step S05: receiving comparative analysis results of the sampled fabric glossiness before and after the Aurora test, and performing a comprehensive evaluation of the uniform fabric Aurora test.
[0023] In this embodiment, it should be specifically noted that the difference between this embodiment and the prior art is that this embodiment realizes accurate quantitative evaluation of the aurora phenomenon of uniform fabrics by providing a fabric area calibration module to be tested, a three-dimensional fiber orientation analysis module, an initial gloss measurement module, an aurora test gloss comparison module, and a uniform fabric gloss evaluation module; During the sampling area calibration process, machine vision technology combined with deep learning algorithms can automatically identify the fabric uniformity of the fabric to be tested, ensuring the representativeness of the sampling area and effectively avoiding the deviation caused by random sampling. At the same time, the three-dimensional fiber orientation analysis module can accurately measure the fiber orientation of the sampled fabric surface, providing accurate basic data for subsequent gloss measurement and aurora testing. The sampled fabrics were also rubbed using the Aurora test gloss comparison module to simulate the Aurora phenomenon during actual wearing. By comparing and analyzing the glossiness of the sampled fabrics before and after the Aurora test, a quantitative evaluation of the Aurora phenomenon of the uniform fabrics was achieved. Based on the comparative analysis results, a comprehensive evaluation of the Aurora test of the uniform fabrics was conducted, providing strong support for fabric quality control.
[0024] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.
[0025] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.
Claims
1. An aurora testing system for uniform fabrics, characterized by: include: Fabric area calibration module, 3D fiber orientation analysis module, initial gloss measurement module, Aurora test gloss comparison module, and uniform fabric gloss evaluation module; The fabric area calibration module, based on the automatic positioning function of machine vision, uses a high-resolution industrial camera combined with a deep learning algorithm to identify the uniformity of the fabric to be tested in real time, and calibrates the sampling area of the fabric to be tested to obtain the sampled fabric; The three-dimensional fiber orientation analysis module uses a high-precision three-dimensional scanner to perform non-contact measurement of the fiber orientation on the surface of the sampled fabric, obtains the three-dimensional arrangement information of the fibers, distinguishes the warp and weft directions of the sampled fabric, and marks them separately; The initial gloss measurement module calibrates the gloss meter and reads the initial gloss value of the sampled fabric through the gloss meter after calibration, wherein the initial gloss value includes the initial warp gloss and the initial weft gloss; The aurora test gloss comparison module rubs the sample fabric's polished surface against the abrasive friction surface on the aurora generating device's polishing table to obtain the sample fabric's gloss after the aurora occurs, and compares and analyzes the sample fabric's gloss before and after the aurora test. The uniform fabric glossiness evaluation module receives comparative analysis results of the sampled fabric glossiness before and after the Aurora test, and performs a comprehensive evaluation on the uniform fabric Aurora test.
2. The aurora testing system for uniform fabrics according to claim 1, characterized in that: The specific contents of the sampling fabric area calibration module are as follows: The automatic positioning function based on machine vision is used to obtain the regional position of the fabric to be tested, and a high-resolution industrial camera is used to obtain a high-resolution image of the fabric to be tested. The pixel feature values of different areas of the fabric to be tested are identified in combination with a deep learning algorithm, and the pixel feature values are compared with a preset judgment threshold range. If the pixel feature values of different positions of the fabric to be tested are all within the preset judgment threshold range, the fabric uniformity of the fabric to be tested is judged to be high, otherwise, the fabric uniformity of the fabric to be tested is judged to be low; When it is judged that the uniformity of the fabric to be tested is high, the sampling area of the fabric to be tested is calibrated, and the sampling area is a circle with a diameter of 4 cm. When it is judged that the uniformity of the fabric to be tested is low, the sampling area of the fabric to be tested is calibrated, and multiple sampling fabrics are obtained. The sampling areas are multiple circles with a diameter of 4 cm, including areas where the pixel characteristic values are within the preset judgment threshold range and areas where the pixel characteristic values are not within the preset judgment threshold range.
3. The aurora testing system for uniform fabrics according to claim 1, characterized in that: The specific contents of the three-dimensional fiber orientation analysis module are as follows: A high-precision 3D scanner is used to project a laser line onto the surface of the sampled fabric, and the height of the sampled fabric surface point is analyzed based on the distance between the laser emission point of the 3D scanner and the baseline of the camera, the angle between the laser plane and the baseline, and the focal length of the camera; After continuously scanning to obtain point cloud data, a continuous surface model of the sampled fabric is generated through surface fitting; Divide the surface into n local windows and calculate the gradient direction angles of all points in each window; The direction corresponding to the maximum value of the gradient direction angle of each window is the local main gradient direction , and obtain the fiber orientation angle of each window based on the local main gradient direction; The angle deviation between the fiber orientation angle of each window and the preset reference direction is analyzed, where the fiber orientation angle corresponding to the minimum deviation is the warp direction of the fabric, and the warp direction plus or minus 90 degrees is the weft direction of the fabric.
4. The aurora testing system for uniform fabrics according to claim 1, characterized in that: The specific contents of the initial gloss measurement module are as follows: Calibrate the gloss meter: When calibrating regular reflection, place the corresponding standard plate on the measurement area and rotate the standard plate until the regular reflection value reaches 100 and the diffuse reflection value is 0, indicating that the regular reflection calibration is successful. Use the diffuse reflection calibration plate until the diffuse reflection value reaches 100 and the regular reflection value reaches 0, indicating that the diffuse reflection calibration is successful. After the calibration is successful, a calibration completion prompt will be issued; Read the initial gloss value of the sample fabric: Place the sample fabric face up, stick it on the sample table according to the warp marking line, place the sample table on the measurement area, read the initial warp gloss of the sample fabric, and rotate the sample table 90° clockwise to read the initial weft gloss of the sample fabric.
5. The aurora testing system for uniform fabrics according to claim 1, characterized in that: The specific contents of the Aurora test gloss comparison module are as follows: The sample fabric is subjected to friction treatment on the abrasive friction surface of the grinding table of the aurora generating device: the operation button is turned on to cause the sample fabric to rub against the abrasive until the preset number of revolutions is reached, and the aurora generating device automatically stops running, completing the aurora test of the sample fabric; Returning the sampled fabric after the aurora occurs to the initial gloss measurement module to perform gloss measurement after the aurora occurs, wherein the gloss measurement includes warp gloss and weft gloss; The initial warp gloss and initial weft gloss of the sampled fabric were compared with the warp gloss and weft gloss of the sampled fabric after the aurora occurred, and the warp gloss change rate and weft gloss change rate of the sampled fabric were calculated.
6. The aurora testing system for uniform fabrics according to claim 1, characterized in that: The specific contents of the uniform fabric glossiness evaluation module are as follows: receiving comparative analysis results of the glossiness of the sampled fabric before and after the aurora test, wherein the results represent a warp glossiness change rate of the sampled fabric and a weft glossiness change rate of the sampled fabric; When obtaining multiple sample fabrics, taking the average value of the warp gloss change rates of the multiple sample fabrics as the warp gloss change rate of the final sample fabric, and taking the average value of the weft gloss change rates of the multiple sample fabrics as the weft gloss change rate of the final sample fabric; The maximum value of the warp gloss change rate and the weft gloss change rate of the sampled fabric is taken as the gloss change rate of the fabric to be tested, which is compared with the preset aurora judgment interval to conduct a comprehensive evaluation of the aurora test of uniform fabrics.
7. A method for aurora testing of uniform fabrics, using the aurora testing system for uniform fabrics according to any one of claims 1 to 6, characterized in that: The following steps are involved: Step S01: using a high-resolution industrial camera combined with a deep learning algorithm to identify the uniformity of the fabric to be tested in real time, and calibrating the sampling area of the fabric to be tested to obtain the sampled fabric; Step S02: performing non-contact measurement on the fiber orientation of the sampled fabric surface to obtain three-dimensional fiber arrangement information, distinguishing the warp and weft directions of the sampled fabric and marking them separately; Step S03: performing a calibration operation on the gloss meter, and reading the initial gloss value of the sampled fabric through the gloss meter after calibration; Step S04: rubbing the abrasive surface of the sampled fabric against the abrasive friction surface on the grinding table of the aurora generating device to obtain the glossiness of the sampled fabric after the aurora is generated, and performing a comparative analysis of the glossiness of the sampled fabric before and after the aurora test; Step S05: receiving comparative analysis results of the sampled fabric glossiness before and after the Aurora test, and performing a comprehensive evaluation of the uniform fabric Aurora test.
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