Textile fabric defect detection system

Abstract

The invention discloses a textile fabric defect detection system, relates to the technical field of textile fabric defect detection, and is beneficial to comprehensively evaluating the appearance quality of textile fabrics by collecting the number of hair balls, a color difference value and the area of a color difference region in an external defect parameter collection process. The pilling phenomenon on the surface of the textile fabric can be accurately recognized by collecting the number of the hair balls, the overall appearance and the service life of the textile fabric can be affected by the hair balls, non-uniformity of the textile fabric in the dyeing process can be revealed through measurement of the color difference value, and the severity degree of the color difference problem can be determined through statistics of the area of the color difference region. In the external defect evaluation process, whether the textile fabric meets the quality standard or not can be objectively judged by analyzing the external defect evaluation index of the specified textile fabric, and in the structural defect analysis process, the structural performance of the textile fabric can be comprehensively known by collecting the fiber breaking strength, the fiber density and the porosity.

Description

Technical Field

[0001] The present invention relates to the technical field of textile defect detection, and in particular to a textile defect detection system. Background Art

[0002] With the growth of globalized textile trade, manufacturers are facing higher competitive pressure, the market demand for high-quality textiles is increasing, consumers are becoming more and more stringent about the quality of textiles, textile brands are paying more attention to product quality, and defects will directly affect brand image and market share. Therefore, companies need a reliable testing system to ensure product quality.

[0003] Prior art, such as the invention patent application with announcement number CN118429347A, discloses a textile defect detection system, which relates to the field of textile printing and dyeing technology. The textile defect detection system includes: a data reading subsystem, a thickness detection subsystem, a surface detection subsystem, and a defect derivation subsystem; the data reading subsystem is used to read the image data of the textile to be analyzed and perform preprocessing; the thickness detection subsystem is used to divide the image data of the textile after preprocessing into regions, perform thickness detection on each divided region, and mark the region with substandard thickness as a thickness defect region; the surface detection subsystem is used to determine whether there is a heterogeneous region in the image data of the textile after preprocessing.

[0004] With respect to the above scheme, there are at least the following technical problems: 1. The above scheme does not mention how to collect external defect parameters, such as the number of pills, color difference values, and the area where the color difference occurs, which makes the system not comprehensive enough when detecting external defects of textiles. The lack of collection and analysis of external defect parameters will lead to the inability to comprehensively evaluate the appearance quality of textiles. For example, if the system cannot accurately detect the number of pills or the color difference value, it cannot effectively determine whether the appearance of the textile meets the quality standards.

[0005] 2. The above scheme does not mention the collection and analysis of structural defect parameters of textiles, which will result in the system being unable to comprehensively evaluate the intrinsic quality of textiles. The lack of analysis of structural defect parameters will result in the inability to detect potential structural problems of textiles, thereby affecting the performance and durability of the final product. The lack of collection and evaluation of material defect parameters will result in deficiencies in the system's material quality control, which will result in undetected material defects of textiles, thereby affecting the overall quality and consistency of the product. Summary of the invention

[0006] The purpose of the present invention is to provide a textile defect detection system to solve the problems existing in the background technology.

[0007] In order to solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides a textile defect detection system, including: an external defect parameter acquisition module, used to collect external defect conditions corresponding to the specified textile, the external defect conditions include the number of hair balls, color difference value and the area where the color difference occurs.

[0008] The external defect evaluation module is used to analyze the external defect evaluation index corresponding to the specified textile according to the external defect blemish situation corresponding to the specified textile, thereby evaluating whether the external defect blemish detection of the specified textile meets the requirements.

[0009] The structural defect analysis module is used to collect structural defect parameter information corresponding to the specified textile when the external defect detection of the specified textile meets the requirements. The structural defect parameter information includes fiber breaking strength, fiber density and porosity, and then calculate the structural defect evaluation index corresponding to the specified textile.

[0010] The material defect analysis module is used to collect material defect parameter information corresponding to the specified textile, the material defect parameter information includes fiber diameter and impurity content, and then calculate the material defect evaluation index corresponding to the specified textile.

[0011] The comprehensive defect analysis module is used to evaluate whether the comprehensive internal defect detection of the specified textile meets the requirements based on the structural defect evaluation index and material defect evaluation index corresponding to the specified textile.

[0012] Preferably, the external defects and blemishes corresponding to the designated textile are collected, and the specific collection process is as follows: select each textile sample, capture the surface image corresponding to each textile sample by a camera device, analyze the surface image corresponding to each textile sample by image processing technology, obtain the number of hair balls corresponding to the surface of each textile sample, calculate the number of hair balls corresponding to the surface of each textile sample by average, and the result obtained is the number of hair balls corresponding to the designated textile, set each monitoring point on the surface of each textile sample, use a colorimeter to measure each monitoring point of each textile sample under a standard light source, so as to obtain color data corresponding to each textile sample at each monitoring point, calculate the color data corresponding to each textile sample at each monitoring point by average, and obtain average color data corresponding to each textile sample, compare and calculate the average color data corresponding to each textile sample with the standard color data, and calculate the calculation result by average, so as to obtain the color difference value corresponding to the designated textile, which is recorded as ; The color data corresponding to each textile sample at each monitoring point are compared with the standard color data. If the color data corresponding to a textile sample at a monitoring point is different from the standard color data, it means that the textile sample has color difference at the monitoring point. The area corresponding to the color difference at the monitoring point is recorded, and the area corresponding to the color difference of each textile sample is accumulated to obtain the area corresponding to the color difference of each textile sample. The area corresponding to the color difference of each textile sample is calculated by the mean, and the result obtained is the area of ​​the region corresponding to the color difference of the specified textile.

[0013] Preferably, the standard external defect conditions corresponding to the specified textile are obtained from the database, and the standard external defect conditions include the number of standard hair balls, the standard color difference value and the area of ​​the standard color difference; the calculation formula is used , get the external defect evaluation index corresponding to the specified textile ,in , They represent the number of hair balls and the area of ​​color difference when the specified textile is tested for external defects. , , They are respectively expressed as the number of standard hair balls, the standard color difference value, and the area where the standard color difference occurs. , , They are respectively the weight factor corresponding to the number of hair balls set, the weight factor corresponding to the color difference value, and the weight factor corresponding to the area where the color difference occurs.

[0014] The beneficial effects of the present invention are as follows: 1. A textile defect detection system provided by the present invention, in the process of collecting external defect parameters, by collecting the number of hair balls, color difference values ​​and the area of ​​the region where the color difference occurs, is conducive to comprehensively evaluating the appearance quality of the textile. Collecting the number of hair balls can accurately identify the pilling phenomenon on the surface of the textile. The presence of hair balls will affect the overall appearance and service life of the fabric. The measurement of color difference values ​​can reveal the unevenness of the textile during the dyeing process, thereby affecting the consistency of the product. The statistics of the area of ​​the region where the color difference occurs can determine the severity of the color difference problem. In the process of external defect evaluation, by analyzing the external defect evaluation index of the specified textile, it is conducive to objectively judging whether the textile meets the quality standards.

[0015] 2. In the process of structural defect analysis, the embodiments of the present invention help to fully understand the structural properties of the textile by collecting the fiber breaking strength, fiber density and porosity. The measurement of fiber breaking strength can reflect the durability of the textile, and the detection of fiber density and porosity helps to understand the thickness and air permeability of the fabric. In the process of material defect analysis, the collection of fiber diameter and impurity content is helpful to ensure the material quality of the textile. The analysis of impurity content can determine the purity and cleanliness of the textile. Impurities may cause the performance of the fabric to deteriorate.

[0016] 3. In the comprehensive defect analysis process of the embodiment of the present invention, a comprehensive evaluation coefficient is obtained by combining the structural defect evaluation index and the material defect evaluation index, which is conducive to comprehensively judging the overall quality of the textile. The comprehensive evaluation coefficient provides a comprehensive quality inspection standard, which summarizes different types of defects into a comprehensive index, effectively combines structural defects and material defects, and provides a more comprehensive quality analysis. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0018] Figure 1 It is a schematic diagram of the system structure connection of the present invention. DETAILED DESCRIPTION

[0019] 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 only 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.

[0020] See also Figure 1 As shown, the present invention provides a textile defect detection system, which includes: an external defect parameter acquisition module, an external defect evaluation module, a structural defect analysis module, a material defect analysis module, a comprehensive defect analysis module and a database.

[0021] The external defect parameter acquisition module is connected to the external defect evaluation module, the external defect evaluation module is respectively connected to the structural defect analysis module and the database, the structural defect analysis module is respectively connected to the material defect analysis module and the database, and the material defect analysis module is respectively connected to the comprehensive defect and flaw analysis module and the database.

[0022] The external defect parameter collection module is used to collect the external defect conditions corresponding to the specified textile. The external defect conditions include the number of hair balls, color difference value and the area where the color difference occurs.

[0023] In a specific embodiment, the external defects and blemishes corresponding to the specified textile are collected, and the specific collection process is as follows: select each textile sample, capture the surface image corresponding to each textile sample by a camera device, analyze the surface image corresponding to each textile sample by image processing technology, obtain the number of hair balls corresponding to the surface of each textile sample, calculate the number of hair balls corresponding to the surface of each textile sample by average, and the result obtained is the number of hair balls corresponding to the specified textile, set each monitoring point on the surface of each textile sample, use a colorimeter to measure each monitoring point of each textile sample under a standard light source, so as to obtain color data corresponding to each textile sample at each monitoring point, calculate the color data corresponding to each textile sample at each monitoring point by average, and obtain average color data corresponding to each textile sample, compare and calculate the average color data corresponding to each textile sample with the standard color data, and calculate the calculation results by average, so as to obtain the color difference value corresponding to the specified textile, which is recorded as ; The color data corresponding to each textile sample at each monitoring point are compared with the standard color data. If the color data corresponding to a textile sample at a monitoring point is different from the standard color data, it means that the textile sample has color difference at the monitoring point. The area corresponding to the color difference at the monitoring point is recorded, and the area corresponding to the color difference of each textile sample is accumulated to obtain the area corresponding to the color difference of each textile sample. The area corresponding to the color difference of each textile sample is calculated by the mean, and the result obtained is the area of ​​the region corresponding to the color difference of the specified textile.

[0024] It should be noted that is the number corresponding to each textile sample, , is greater than Any integer of It is expressed as the total number of textile samples. The color data of each textile sample includes brightness, red-green axis and yellow-blue axis, which are recorded as , , , by calculating the formula , get the color difference value corresponding to the specified textile ,in , , They are respectively represented as standard brightness, standard red-green axis, and standard yellow-blue axis.

[0025] The external defect evaluation module is used to analyze the external defect evaluation index corresponding to the specified textile according to the external defect blemish situation corresponding to the specified textile, thereby evaluating whether the external defect blemish detection of the specified textile meets the requirements.

[0026] In a specific embodiment, the analysis specifies the external defect evaluation index corresponding to the textile, and the specific analysis process is as follows: the standard external defect blemish conditions corresponding to the specified textile are obtained from the database, and the standard external defect blemish conditions include the number of standard hair balls, the standard color difference value and the standard area where the color difference occurs.

[0027] By calculating the formula , get the external defect evaluation index corresponding to the specified textile ,in , They represent the number of hair balls and the area of ​​color difference when the specified textile is tested for external defects. , , They are respectively expressed as the number of standard hair balls, the standard color difference value, and the area where the standard color difference occurs. , , They are respectively the weight factor corresponding to the number of hair balls set, the weight factor corresponding to the color difference value, and the weight factor corresponding to the area where the color difference occurs.

[0028] It should be noted that , , The values ​​of are all greater than and less than .

[0029] It should also be noted that the number of pills affects the appearance and durability of textiles, so a high weight value is assigned to it. The color difference value reflects the color consistency of the textile and directly affects the visual effect, so a high weight value is also set. The area of ​​the region where the color difference occurs indicates the extensiveness of the color difference problem, so a low weight value is assigned to it. By analyzing the comprehensive impact of the number of pills and the area of ​​the region where the color difference occurs on the quality of the final product, combined with the quality standards in actual production, we finally obtain the weight factors corresponding to the set number of pills, the weight factors corresponding to the color difference value, and the weight factors corresponding to the area of ​​the region where the color difference occurs.

[0030] In a specific embodiment, the evaluation of whether the external defect and flaw detection of a specified textile meets the requirements is performed as follows: a standard external defect assessment index corresponding to the textile when external defect and flaw detection is performed is obtained from a database, and the external defect assessment index corresponding to the specified textile is compared with the standard external defect assessment index. If the external defect assessment index corresponding to the specified textile is greater than or equal to the standard external defect assessment index, it indicates that the external defect and flaw detection of the specified textile does not meet the requirements. If the external defect assessment index corresponding to the specified textile is less than the standard external defect assessment index, it indicates that the external defect and flaw detection of the specified textile meets the requirements.

[0031] It should be noted that the standard external defect assessment index is used as the basis for evaluating whether the external defect and blemish detection of a specified textile meets the requirements.

[0032] The structural defect analysis module is used to collect structural defect parameter information corresponding to the specified textile when the external defect detection of the specified textile meets the requirements. The structural defect parameter information includes fiber breaking strength, fiber density and porosity, and then calculate the structural defect evaluation index corresponding to the specified textile.

[0033] In a specific embodiment, the structural defect parameter information corresponding to the specified textile is collected, and the specific collection process is as follows: a fiber tensile testing machine is used to perform a tensile test on each textile sample, and the maximum load when each textile sample breaks is recorded, which is recorded as , is the number corresponding to each textile sample, , is greater than Any integer of Expressed as the total number of textile samples, calculated by the formula , and the fiber breaking strength corresponding to each textile sample is obtained , Indicates the number of tensile tests The cross-sectional area corresponding to the textile sample; The fiber density of the specified textile is directly measured using a gas densitometer, and the surface image of each textile sample is scanned using a high-resolution scanner. The size and distribution of the pores in each textile sample are obtained using image analysis software, thereby calculating the porosity of the specified textile.

[0034] It should be noted that the gas densitometer obtains the fiber density by measuring the volume change of gas in the pores of the fiber sample, and obtains the actual size of each textile sample and the area of ​​each pore in each textile sample from the image analysis software, thereby obtaining the total area of ​​each textile sample and the total area of ​​the pores of each textile sample. The total area of ​​the pores is divided by the total area of ​​the sample and multiplied by 100%, and the result is calculated by the mean to obtain the porosity corresponding to the specified textile.

[0035] In a specific embodiment, the structural defect assessment index corresponding to the specified textile is calculated, and the specific calculation process is as follows: standard structural defect parameter information corresponding to the internal structural defect flaw detection of the specified textile is obtained from a database, and the standard structural defect parameter information includes standard fiber breaking strength, standard fiber density and standard porosity.

[0036] By calculating the formula , get the structural defect assessment index corresponding to the specified textile ,in , They represent the fiber density and porosity of the specified textile when testing for internal structural defects. , , They are respectively expressed as standard fiber breaking strength, standard fiber density, and standard porosity. , , They are respectively the weight factor corresponding to the set fiber breaking strength, the weight factor corresponding to the fiber density, and the weight factor corresponding to the porosity.

[0037] It should be noted that , , The values ​​of are all greater than and less than .

[0038] It should also be noted that the fiber breaking strength is directly related to the durability and tensile strength of the textile, and is assigned a high weight value; the fiber density affects the thickness and warmth of the fabric, but has a lower impact on the overall performance of the fabric than the breaking strength, and is therefore assigned a medium weight value; the porosity affects the breathability and comfort of the fabric, but has a relatively small impact on durability, and is therefore assigned a low weight value; based on the needs and standards in actual applications, by comprehensively considering the effects of these fiber breaking strength, fiber density, and porosity on the comprehensive performance of the textile, we ultimately obtain the weight factors corresponding to the set fiber breaking strength, fiber density, and porosity.

[0039] The material defect analysis module is used to collect material defect parameter information corresponding to the specified textile, the material defect parameter information includes fiber diameter and impurity content, and then calculate the material defect evaluation index corresponding to the specified textile.

[0040] In a specific embodiment, the material defect parameter information corresponding to the specified textile is collected, and the specific collection process is as follows: each monitoring part is selected in a textile sample, and the fiber diameter corresponding to each monitoring part is directly observed using a high-power microscope to obtain the fiber diameter corresponding to each detection part of the textile sample, and the fiber diameter corresponding to each detection part of the textile sample is calculated by the mean, and the result obtained is the fiber diameter corresponding to the specified textile, and the impurity content corresponding to each textile sample is monitored using a mass spectrometer, and the impurity content of each textile sample is calculated by the mean, and the result obtained is the impurity content corresponding to the specified textile.

[0041] In a specific embodiment, the material defect assessment index corresponding to the specified textile is calculated, and the specific calculation process is as follows: standard material defect parameter information corresponding to the internal material defect detection of the specified textile is obtained from the database, and the standard material defect parameter information includes standard fiber diameter and standard impurity content.

[0042] By calculating the formula , get the material defect assessment index corresponding to the specified textile ,in , They represent the fiber diameter and impurity content of the specified textile when testing for internal material defects. , They are respectively expressed as standard fiber diameter and standard impurity content. , They are respectively used to set the weight factor corresponding to the fiber diameter and the weight factor corresponding to the impurity content.

[0043] It should be noted that , The values ​​of are all greater than and less than .

[0044] It should also be noted that the historical fiber diameter weight factors and historical impurity content weight factors corresponding to the calculation of each historical material defect assessment index are obtained from the database, and the median is selected from each historical fiber diameter weight factor and each historical impurity content weight factor, and the result obtained is the weight factor corresponding to the set fiber diameter and the weight factor corresponding to the impurity content.

[0045] In the process of structural defect analysis, the embodiments of the present invention help to fully understand the structural properties of the textile by collecting the fiber breaking strength, fiber density and porosity. The measurement of fiber breaking strength can reflect the durability of the textile, and the detection of fiber density and porosity helps to understand the thickness and air permeability of the fabric. In the process of material defect analysis, the collection of fiber diameter and impurity content helps to ensure the material quality of the textile. The analysis of impurity content can determine the purity and cleanliness of the textile. Impurities may cause the performance of the fabric to deteriorate.

[0046] The comprehensive defect analysis module is used to evaluate whether the comprehensive internal defect detection of the specified textile meets the requirements based on the structural defect evaluation index and material defect evaluation index corresponding to the specified textile.

[0047] In a specific embodiment, the evaluation of whether the comprehensive internal defect and flaw detection of a specified textile meets the requirements is performed as follows: based on the structural defect evaluation index and the material defect evaluation index corresponding to the specified textile, a comprehensive evaluation coefficient of the external defect and flaw detection corresponding to the specified textile is analyzed and obtained, and the comprehensive evaluation coefficient includes the values ​​of -1 and 1. When the comprehensive evaluation coefficient is -1, it indicates that the comprehensive internal defect and flaw detection of the specified textile does not meet the requirements. When the comprehensive evaluation coefficient is 1, it indicates that the comprehensive internal defect and flaw detection of the specified textile meets the requirements.

[0048] In a specific embodiment, the analysis specifies the comprehensive evaluation coefficient of the external defects of the textile, and the specific analysis process is as follows: According to the comprehensive evaluation expression of the external defects: , get the comprehensive evaluation coefficient of the external defects of the specified textile ,in , They are the weight factors corresponding to the set structural defect assessment index and the weight factors corresponding to the material defect assessment index. is the set comprehensive evaluation coefficient threshold.

[0049] It should be noted that , The values ​​of are all greater than and less than , It is used as a basis for evaluating whether the comprehensive internal defect detection of specified textiles meets the requirements.

[0050] It should also be noted that structural defects affect the strength and stability of textile products and have a great impact on product functions, so they are given a high weight. Material defects affect the durability and appearance of the product, but have relatively little impact on the overall structure and function, so the weight value is relatively low. By analyzing the actual impact of various defects on product performance and combining expert opinions, we finally obtained the weight factor corresponding to the set structural defect assessment index and the weight factor corresponding to the material defect assessment index.

[0051] In the comprehensive defect and flaw analysis process of the embodiment of the present invention, a comprehensive evaluation coefficient is obtained by comprehensively combining the structural defect evaluation index and the material defect evaluation index, which is conducive to comprehensively judging the overall quality of the textile. The comprehensive evaluation coefficient provides a comprehensive quality inspection standard, which summarizes different types of defects into a comprehensive index, effectively combines structural defects and material defects, and provides a more comprehensive quality analysis.

[0052] A database is used to store standard external defect conditions corresponding to designated textiles, the standard external defect conditions include the number of standard hair balls, standard color difference values ​​and the standard color difference area, obtain the standard external defect evaluation index corresponding to the textile when external defect detection is performed, specify the standard structural defect parameter information corresponding to the internal structural defect detection of the textile, the standard structural defect parameter information includes standard fiber breaking strength, standard fiber density and standard porosity, specify the standard material defect parameter information corresponding to the internal material defect detection of the textile, the standard material defect parameter information includes standard fiber diameter and standard impurity content, and calculate the weight factors of each historical fiber diameter and each historical impurity content when calculating each historical material defect evaluation index.

[0053] It should be noted that data query and acquisition are completed through SQL statements. The SELECT statement is used to extract data from the specified table, and the WHERE clause is added as needed to filter records with specific conditions. For example, to obtain external defect information of a specified textile, use the SELECT * FROM defects WHERE fabric_id = 'specified ID' instruction to query and obtain.

[0054] The present invention provides a textile defect detection system. In the process of collecting external defect parameters, by collecting the number of hair balls, color difference values ​​and the area of ​​the region where the color difference occurs, it is beneficial to comprehensively evaluate the appearance quality of the textile. Collecting the number of hair balls can accurately identify the pilling phenomenon on the surface of the textile. The presence of hair balls will affect the overall appearance and service life of the fabric. The measurement of color difference values ​​can reveal the unevenness of the textile during the dyeing process, thereby affecting the consistency of the product. The statistics of the area of ​​the region where the color difference occurs can determine the severity of the color difference problem. In the process of external defect evaluation, by analyzing the external defect evaluation index of the specified textile, it is beneficial to objectively judge whether the textile meets the quality standard.

[0055] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they shall all fall within the protection scope of the present invention.

Claims

1. A textile defect detection system, characterized in that: include: The external defect parameter collection module is used to collect the external defect conditions corresponding to the specified textile, and the external defect conditions include the number of hair balls, color difference value and the area where the color difference occurs; An external defect evaluation module is used to analyze the external defect evaluation index corresponding to the specified textile according to the external defect defect situation corresponding to the specified textile, thereby evaluating whether the external defect defect detection of the specified textile meets the requirements; A structural defect analysis module is used to collect structural defect parameter information corresponding to the specified textile when the external defect detection of the specified textile meets the requirements. The structural defect parameter information includes fiber breaking strength, fiber density and porosity, and then calculate the structural defect evaluation index corresponding to the specified textile; A material defect analysis module is used to collect material defect parameter information corresponding to a specified textile, the material defect parameter information including fiber diameter and impurity content, and then calculate a material defect evaluation index corresponding to the specified textile; The comprehensive defect analysis module is used to evaluate whether the comprehensive internal defect detection of the specified textile meets the requirements based on the structural defect evaluation index and material defect evaluation index corresponding to the specified textile.

2. A textile defect detection system according to claim 1, characterized in that: The specific collection process of collecting the external defects corresponding to the specified textile is as follows: Select each textile sample, shoot the surface image corresponding to each textile sample by a camera device, analyze the surface image corresponding to each textile sample by image processing technology, obtain the number of hair balls corresponding to the surface of each textile sample, calculate the number of hair balls corresponding to the surface of each textile sample by average, and the result obtained is the number of hair balls corresponding to the specified textile, set each monitoring point on the surface of each textile sample, use a colorimeter to measure each monitoring point of each textile sample under a standard light source, so as to obtain the color data corresponding to each textile sample at each monitoring point, calculate the color data corresponding to each textile sample at each monitoring point by average, and obtain the average color data corresponding to each textile sample, compare and calculate the average color data corresponding to each textile sample with the standard color data respectively, and calculate the calculation result by average, so as to obtain the color difference value corresponding to the specified textile, which is recorded as ; The color data corresponding to each textile sample at each monitoring point are compared with the standard color data. If the color data corresponding to a textile sample at a monitoring point is different from the standard color data, it means that the textile sample has color difference at the monitoring point. The area corresponding to the color difference at the monitoring point is recorded, and the area corresponding to the color difference of each textile sample is accumulated to obtain the area corresponding to the color difference of each textile sample. The area corresponding to the color difference of each textile sample is calculated by the mean, and the result obtained is the area of ​​the region corresponding to the color difference of the specified textile.

3. A textile defect detection system according to claim 2, characterized in that: The analysis specifies the external defect evaluation index corresponding to the textile, and the specific analysis process is as follows: Obtaining standard external defects corresponding to the specified textile from the database, the standard external defects including the number of standard hair balls, standard color difference value and standard color difference area; By calculating the formula , get the external defect evaluation index corresponding to the specified textile ,in , They represent the number of hair balls and the area of ​​color difference when the specified textile is tested for external defects. , , They are respectively expressed as the number of standard hair balls, the standard color difference value, and the area where the standard color difference occurs. , , They are respectively the weight factor corresponding to the number of hair balls set, the weight factor corresponding to the color difference value, and the weight factor corresponding to the area where the color difference occurs.

4. A textile defect detection system according to claim 3, characterized in that: The specific evaluation process of evaluating whether the external defect detection of the specified textile meets the requirements is as follows: The standard external defect assessment index corresponding to the textile during external defect detection is obtained from the database, and the external defect assessment index corresponding to the specified textile is compared with the standard external defect assessment index. If the external defect assessment index corresponding to the specified textile is greater than or equal to the standard external defect assessment index, it indicates that the external defect detection of the specified textile does not meet the requirements; if the external defect assessment index corresponding to the specified textile is less than the standard external defect assessment index, it indicates that the external defect detection of the specified textile meets the requirements.

5. A textile defect detection system according to claim 4, characterized in that: The specific collection process of the structural defect parameter information corresponding to the specified textile is as follows: A fiber tensile testing machine was used to perform tensile tests on each textile sample, and the maximum load when each textile sample broke was recorded as , is the number corresponding to each textile sample, , is greater than Any integer of Expressed as the total number of textile samples, calculated by the formula , and obtain the fiber breaking strength corresponding to each textile sample , Indicates the number of tensile tests The cross-sectional area corresponding to the textile sample; The fiber density of the specified textile is directly measured using a gas densitometer, and the surface image of each textile sample is scanned using a high-resolution scanner. The size and distribution of the pores in each textile sample are obtained using image analysis software, thereby calculating the porosity of the specified textile.

6. A textile defect detection system according to claim 5, characterized in that: The specific calculation process of calculating the structural defect assessment index corresponding to the specified textile is as follows: Obtaining standard structural defect parameter information corresponding to the internal structural defect detection of the specified textile from the database, the standard structural defect parameter information including standard fiber breaking strength, standard fiber density and standard porosity; By calculating the formula , get the structural defect assessment index corresponding to the specified textile ,in , They represent the fiber density and porosity of the specified textile when testing for internal structural defects. , , They are respectively expressed as standard fiber breaking strength, standard fiber density, and standard porosity. , , They are respectively the weight factor corresponding to the set fiber breaking strength, the weight factor corresponding to the fiber density, and the weight factor corresponding to the porosity.

7. A textile defect detection system according to claim 6, characterized in that: The specific collection process of collecting the material defect parameter information corresponding to the specified textile is as follows: Select each monitoring part in a textile sample, use a high-power microscope to directly observe the fiber diameter corresponding to each monitoring part, and obtain the fiber diameter of each detection part corresponding to the textile sample. Calculate the fiber diameter of each detection part of the textile sample by the mean, and the result obtained is the fiber diameter corresponding to the specified textile. Use a mass spectrometer to monitor the impurity content corresponding to each textile sample, calculate the impurity content of each textile sample by the mean, and the result obtained is the impurity content corresponding to the specified textile.

8. A textile defect detection system according to claim 7, characterized in that: The material defect assessment index corresponding to the specified textile is calculated, and the specific calculation process is as follows: Obtaining standard material defect parameter information corresponding to the internal material defect detection of the specified textile from the database, the standard material defect parameter information including standard fiber diameter and standard impurity content; By calculating the formula , get the material defect assessment index corresponding to the specified textile ,in , They represent the fiber diameter and impurity content of the specified textile when testing for internal material defects. , They are respectively expressed as standard fiber diameter and standard impurity content. , They are respectively used to set the weight factor corresponding to the fiber diameter and the weight factor corresponding to the impurity content.

9. A textile defect detection system according to claim 8, characterized in that: The evaluation of whether the comprehensive internal defect detection of the specified textile meets the requirements is as follows: According to the structural defect assessment index and material defect assessment index corresponding to the specified textile, the comprehensive assessment coefficient of the external defects of the specified textile is analyzed and obtained. The comprehensive assessment coefficient contains the values ​​of -1 and 1. When the comprehensive assessment coefficient is -1, it indicates that the comprehensive internal defect detection of the specified textile does not meet the requirements. When the comprehensive assessment coefficient is 1, it indicates that the comprehensive internal defect detection of the specified textile meets the requirements.

10. A textile defect detection system according to claim 9, characterized in that: The analysis specifies the comprehensive evaluation coefficient of the textile corresponding to the external defects. The specific analysis process is as follows: According to the comprehensive evaluation expression of external defects: , get the comprehensive evaluation coefficient of the external defects of the specified textile ,in , They are the weight factors corresponding to the set structural defect assessment index and the weight factors corresponding to the material defect assessment index. is the set comprehensive evaluation coefficient threshold.

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