CN115508282B - Online intelligent cloth inspection detection system - Google Patents
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- CN115508282B CN115508282B CN202211273601.0A CN202211273601A CN115508282B CN 115508282 B CN115508282 B CN 115508282B CN 202211273601 A CN202211273601 A CN 202211273601A CN 115508282 B CN115508282 B CN 115508282B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/01—Arrangements or apparatus for facilitating the optical investigation
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/89—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles
- G01N21/892—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles characterised by the flaw, defect or object feature examined
- G01N21/898—Irregularities in textured or patterned surfaces, e.g. textiles, wood
- G01N21/8983—Irregularities in textured or patterned surfaces, e.g. textiles, wood for testing textile webs, i.e. woven material
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
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Abstract
The invention discloses an online intelligent cloth inspection and detection system, which comprises an ROI (region of interest) setting unit, a camera parameter adjusting unit, a central data processor, a scutching line detection system, a flaw point acquisition module, a flaw confirmation system and a cloth quality evaluation unit, wherein the ROI setting unit is in bidirectional connection with the central data processor, and the camera parameter adjusting unit is in bidirectional connection with the central data processor, and the online intelligent cloth inspection and detection system has the beneficial effects that: through adding the ROI setting unit, detection coordinate adjustment processing is carried out on the detection position of the shot cloth, detection efficiency and stability are improved, and through adding the camera parameter adjustment unit, adjustment processing is carried out on the exposure value shot by a camera, and adjustment processing is carried out on the contrast of an acquired image.
Description
Technical Field
The invention relates to the technical field of intelligent cloth inspection, in particular to an online intelligent cloth inspection detection system.
Background
Cloth is commonly expressed as a woven product of cotton, hemp and cotton-type chemical staple fibers after spinning, cloth, cotton cloth and cloth, and the cloth is a common material in decorative materials. Including various fabrics such as chemical fiber carpets, non-woven wallboards, linen, nylon fabrics, colored rubberized fabrics, flannelette and the like. Cloth plays a considerable role in decorating and displaying, is often a main force which cannot be ignored in the whole sales space, and is usually used for detecting flaws on the surface of the cloth in the existing cloth detection, but the existing cloth detection system is inconvenient for detecting and processing the flaw type and degree of the cloth, and is inconvenient for collecting flaws.
Disclosure of Invention
The invention aims to provide an online intelligent cloth inspection and detection system so as to solve the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions: the online intelligent cloth inspection detection system comprises an ROI setting unit, a camera parameter adjusting unit, a central data processor, a scutching line detection system, a flaw point acquisition module, a flaw confirmation system, a cloth quality evaluation unit and a cloud data processing end, wherein the ROI setting unit is in bidirectional connection with the central data processor, the camera parameter adjusting unit is in bidirectional connection with the central data processor, the output end of the central data processor is in communication connection with the input end of the scutching line detection system, the output end of the central data processor is in communication connection with the input end of the flaw point acquisition module, the output end of the flaw point acquisition module is in communication connection with the input end of the flaw confirmation system, the output end of the flaw confirmation system is in communication connection with the input end of the cloth quality evaluation unit, and the central data processor is in bidirectional connection with the cloud data processing end;
the ROI setting unit is used for selecting according to the surface brightness of the image and performing panoramic preview processing;
the camera parameter adjusting unit is used for carrying out image acquisition and adjustment processing on a camera for detecting cloth;
the central data processor is used for carrying out centralized control processing on the data;
the open width line detection system is used for identifying open width lines and lines with poor vertical direction to carry out discrimination detection treatment;
the flaw point acquisition module is used for carrying out image acquisition processing on flaw points existing on the cloth;
the flaw confirmation system is used for performing type identification judgment treatment on flaws existing on the cloth;
the cloth quality evaluation unit is used for evaluating the quality of the cloth according to the number of flaw points on the whole cloth;
the cloud data processing end is used for carrying out cloud sharing on the acquired data and carrying out cloud processing on the data;
the ROI setting unit comprises a horizontal coordinate adjusting module, a vertical coordinate adjusting module and a panoramic preview module, wherein the output end of the horizontal coordinate adjusting module is in communication connection with the input end of the vertical coordinate adjusting module, and the output end of the vertical coordinate adjusting module is in communication connection with the input end of the panoramic preview module;
the horizontal coordinate adjusting module is used for adjusting the horizontal coordinate position of the image acquired by the camera;
the vertical coordinate adjusting module is used for adjusting the vertical coordinate position of the image acquired by the camera;
the panoramic preview module is used for placing a rectangular box in the brightest area of the image and automatically selecting panoramic preview;
the camera parameter adjusting unit comprises an exposure adjusting module and an image contrast adjusting module;
the exposure adjusting module is used for adjusting the exposure value of the camera;
the image contrast adjusting module is used for adjusting the brightness contrast of the acquired image;
the scutching line detection system comprises a scutching line detection unit, a scutching line quantity detection module and a spacing value detection module, wherein the scutching line detection unit is in bidirectional connection with the scutching line quantity detection module, the scutching line detection unit is in bidirectional connection with the spacing value detection module, and the scutching line detection unit comprises a broken needle flaw detection module, a broken yarn flaw detection module, a machine trace flaw detection module and an oil needle flaw detection module;
the open-width thread detection unit is used for detecting the open-width thread flaw state of the woven fabric;
the open-width thread quantity detection module is used for carrying out quantity detection processing on the open-width thread quantity of the woven cloth;
the interval value detection module is used for adjusting the interval between the open-width lines and detecting the interval distance value.
Preferably, the flaw verification system comprises a flaw size recognition module, a block-shaped flaw point verification unit and a bad knitting needle flaw point verification unit, wherein the output end of the flaw acquisition module is in communication connection with the input end of the flaw size recognition module, the output end of the flaw size recognition module is in communication connection with the input end of the block-shaped flaw point verification unit, the output end of the flaw size recognition module is in communication connection with the input end of the bad knitting needle flaw point verification unit, and the output end of the block-shaped flaw point verification unit and the output end of the bad knitting needle flaw point verification unit are both in communication connection with the input end of the cloth quality evaluation unit;
the flaw point size identification module is used for calculating the flaw point area size existing on the cloth;
the block flaw confirming unit is used for judging the block flaw points of the flaw points obtained by the flaw point size identifying module according to the set block flaw point area size standard;
the defective knitting needle flaw point confirming unit is used for judging defective knitting needle flaw points according to the set defective knitting needle flaw point area size standard.
Preferably, the cloth quality evaluation unit comprises a flaw point sum calculation module, a flaw point percentage calculation module and a flaw cloth judging module, wherein the output end of the flaw point sum calculation module is in communication connection with the input end of the flaw point percentage calculation module, and the output end of the flaw point percentage calculation module is in communication connection with the input end of the flaw cloth judging module;
the flaw point sum calculating module is used for calculating the total area of flaw points on the whole cloth;
the flaw point percentage calculation module is used for calculating the area percentage of the total area with flaws;
the defective cloth judging module is used for judging defective cloth according to the total area occupied area percentage obtained by the defective point percentage calculating module.
Preferably, the output end of the open-width line detection system and the output end of the cloth quality evaluation unit are both in communication connection with an alarm stop module, the output end of the alarm stop module is in communication connection with an alarm delay restarting module, the alarm stop module is used for carrying out audible and visual alarm processing when detecting flaws, and the alarm delay restarting module is used for restarting after the alarm stop of the flaws is detected and carrying out delay detection.
Preferably, the central data processor is bidirectionally connected with the industrial camera, the central data processor is bidirectionally connected with a 6P terminal, the central data processor is bidirectionally connected with a 10P terminal, the 6P terminal is bidirectionally connected with a switching power supply, the 10P terminal is bidirectionally connected with a circle counting sensor, and the switching power supply is a DC24V power supply.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Compared with the prior art, the invention has the beneficial effects that: through adding the ROI setting unit, detection coordinate adjustment processing is carried out on the detection position of the shot cloth, detection efficiency and stability are improved, and through adding the camera parameter adjustment unit, adjustment processing is carried out on the exposure value shot by a camera, and adjustment processing is carried out on the contrast of an acquired image.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It will be apparent to those skilled in the art from this disclosure that the drawings described below are merely exemplary and that other embodiments may be derived from the drawings provided without undue effort.
FIG. 1 is a block diagram of a system of the present invention;
FIG. 2 is a block diagram of a system of ROI setting units according to the present invention;
FIG. 3 is a block diagram of a line of opening detection system of the present invention;
FIG. 4 is a block diagram of a flaw verification system according to the present invention.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus consistent with some aspects of the disclosure as detailed in the accompanying claims.
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1:
referring to fig. 1 to 4, an online intelligent cloth inspection and detection system comprises an ROI setting unit, a camera parameter adjusting unit, a central data processor, a scutching line detection system, a flaw point acquisition module, a flaw confirmation system, a cloth quality evaluation unit and a cloud data processing end, wherein the ROI setting unit is in bidirectional connection with the central data processor, the camera parameter adjusting unit is in bidirectional connection with the central data processor, an output end of the central data processor is in communication connection with an input end of the scutching line detection system, an output end of the central data processor is in communication connection with an input end of the flaw point acquisition module, an output end of the flaw point acquisition module is in communication connection with an input end of the flaw confirmation system, an output end of the flaw confirmation system is in communication connection with an input end of the cloth quality evaluation unit, and the central data processor is in bidirectional connection with the cloud data processing end;
the ROI setting unit is used for selecting according to the surface brightness of the image and performing panoramic preview processing, and when detecting cloth, the rectangular box is placed in the brightest area of the image through adjusting the horizontal coordinate and the vertical coordinate, so that panoramic preview is automatically selected;
the camera parameter adjusting unit is used for carrying out image acquisition and adjustment processing on a camera for detecting the cloth, acquiring and processing a surface image of the cloth, and adjusting and processing the acquired image contrast by adjusting and processing the exposure value of the acquisition camera during image acquisition;
the central data processor is used for carrying out centralized control processing on the data, and carrying out centralized management on the data, so that the data processing efficiency and stability are improved;
the open width line detection system is used for identifying open width lines and lines with poor vertical direction to carry out discrimination detection treatment;
the flaw acquisition module is used for carrying out image acquisition processing on flaws existing on the cloth;
the flaw confirmation system is used for carrying out type identification judgment treatment on flaws existing on the cloth;
the cloth quality evaluation unit is used for evaluating the quality of the cloth according to the number of flaw points on the whole cloth, judging the quality of the cloth, and improving the efficiency of detecting flaws of the cloth;
the cloud data processing end is used for carrying out cloud sharing on the acquired data and carrying out cloud processing on the data, so that the processing efficiency and stability of the information are improved, all the calculation is carried out on the cloud, cameras of all the equipment are photographed continuously locally, then the calculation is carried out on the cameras, the results are returned to the machine, and the machine is controlled;
the ROI setting unit comprises a horizontal coordinate adjusting module, a vertical coordinate adjusting module and a panoramic preview module, wherein the output end of the horizontal coordinate adjusting module is in communication connection with the input end of the vertical coordinate adjusting module, and the output end of the vertical coordinate adjusting module is in communication connection with the input end of the panoramic preview module;
the horizontal coordinate adjusting module is used for adjusting the horizontal coordinate position of the image acquired by the camera;
the vertical coordinate adjusting module is used for adjusting the vertical coordinate position of the image acquired by the camera;
the panoramic preview module is used for automatically selecting panoramic previews when the rectangular boxes are placed in the brightest area of the image, and automatically selecting panoramic previews when the rectangular boxes are placed in the brightest area of the image through adjusting the horizontal coordinates and the vertical coordinates during cloth detection;
the camera parameter adjusting unit comprises an exposure adjusting module and an image contrast adjusting module;
the exposure adjusting module is used for adjusting the exposure value of the camera;
the image contrast adjusting module is used for adjusting the acquired image brightness contrast, acquiring the surface image of the cloth, adjusting the acquired image contrast by adjusting the exposure value of the acquisition camera during image acquisition, and improving the detection efficiency and stability;
the scutching line detection system comprises a scutching line detection unit, a scutching line quantity detection module and a spacing value detection module, wherein the scutching line detection unit is in bidirectional connection with the scutching line quantity detection module, and the scutching line detection unit is in bidirectional connection with the spacing value detection module and comprises a broken needle flaw detection module, a broken yarn flaw detection module, a machine trace flaw detection module and an oil needle flaw detection module;
the open-width thread detection unit is used for detecting the open-width thread flaw state of the woven fabric;
the open-width thread quantity detection module is used for carrying out quantity detection processing on the open-width thread quantity of the woven cloth;
the interval value detection module is used for adjusting the interval between the open-width lines and detecting the interval distance value, the number of the open-width lines of the fabric is detected, the interval between the open-width lines is adjusted, the interval distance value is detected, then the state of the open-width lines is detected, and the broken needle flaws, broken yarn flaws, machine trace flaws and oil needle flaws of the open-width lines are detected, so that the detection efficiency and stability are improved.
Example 2: .
The flaw confirmation system comprises a flaw point size identification module, a block-shaped flaw point confirmation unit and a bad knitting needle flaw point confirmation unit, wherein the output end of the flaw point acquisition module is in communication connection with the input end of the flaw point size identification module;
the flaw size identification module is used for calculating the size of the flaw area existing on the cloth;
the block flaw point confirming unit is used for judging the block flaw points of the flaw points obtained by the flaw point size identifying module according to the set size standard of the block flaw points;
the defective knitting needle flaw point confirming unit is used for judging defective knitting needle flaw points according to the set defective knitting needle flaw point area standard and the flaw points obtained by the flaw point size identifying module.
The cloth quality evaluation unit comprises a flaw point sum calculation module, a flaw point percentage calculation module and a flaw cloth judging module, wherein the output end of the flaw point sum calculation module is in communication connection with the input end of the flaw point percentage calculation module, and the output end of the flaw point percentage calculation module is in communication connection with the input end of the flaw cloth judging module;
the flaw sum calculating module is used for calculating the total area of the flaws on the whole cloth;
the flaw percentage calculation module is used for calculating the percentage of the total area with flaws;
the defective cloth judging module is used for judging defective cloth according to the total area occupied area percentage obtained by the defective point percentage calculating module, and defective cloth is judged to be defective cloth after the defective point percentage is judged to be larger than the defective point percentage threshold value, so that the defect identification efficiency is improved.
The output end of the open-width line detection system and the output end of the cloth quality evaluation unit are both in communication connection with an alarm stop module, the output end of the alarm stop module is in communication connection with an alarm delay restarting module, the alarm stop module is used for carrying out audible and visual alarm processing when detecting flaws, the alarm delay restarting module is used for detecting restarting after the alarm stop of the bad flaws and carrying out delay detection, the alarm is carried out after the flaws appear and the automatic stop is carried out, and the restarting processing is carried out when the set restarting time point is reached after the stop.
The central data processor is connected with the industrial camera in a bidirectional mode, the central data processor is connected with a 6P terminal in a bidirectional mode, the central data processor is connected with a 10P terminal in a bidirectional mode, the 6P terminal is connected with a switching power supply in a bidirectional mode, the 10P terminal is connected with a circle counting sensor in a bidirectional mode, and the switching power supply is a DC24V power supply.
Example 3, when processing local verification information:
s1, when cloth is detected, a rectangular square frame is placed in the brightest area of an image through adjustment processing of horizontal coordinates and vertical coordinates, panoramic preview is automatically selected, surface images of the cloth are acquired, and when images are acquired, acquired image contrast is adjusted through adjustment processing of exposure values of an acquisition camera;
s2, carrying out quantity detection processing on the number of open-width threads of the woven fabric, adjusting the spacing between the open-width threads and detecting the spacing distance value, then detecting the state of the open-width threads, and carrying out detection processing on the broken needle flaws, broken yarn flaws, machine mark flaws and oil needle flaws of the open-width threads;
s3, calculating the area of the point where the flaw appears on the cloth, performing type confirmation processing on the block flaw and the defective knitting needle flaw according to the size of the area, performing total area calculation processing on the flaw point on the whole cloth, performing calculation processing on the percentage of the total area where the flaw appears, judging the defective cloth according to the percentage of the total area obtained by the flaw percentage calculation module, and judging that the defective cloth is the defective cloth after the percentage of the flaw is larger than the threshold value of the percentage of the flaw point;
and S4, alarming and automatically stopping after the defect occurs, and restarting when the set restarting time point is reached after stopping.
Embodiment 4, when cloud remote processing is performed on the verification information:
s1, detecting cloth through a remote cloud, adjusting horizontal coordinates and vertical coordinates during detection, placing a rectangular square frame in the brightest area of an image, automatically selecting panoramic preview, acquiring and processing a surface image of the cloth, and adjusting the acquired contrast of the image through adjusting the exposure value of an acquisition camera during image acquisition;
s2, carrying out quantity detection processing on the number of open-width threads of the woven fabric, adjusting the spacing between the open-width threads and detecting the spacing distance value, then detecting the state of the open-width threads, and carrying out detection processing on the broken needle flaws, broken yarn flaws, machine mark flaws and oil needle flaws of the open-width threads;
s3, calculating the area of the point where the flaw appears on the cloth, performing type confirmation processing on the block flaw and the defective knitting needle flaw according to the size of the area, performing total area calculation processing on the flaw point on the whole cloth, performing calculation processing on the percentage of the total area where the flaw appears, judging the defective cloth according to the percentage of the total area obtained by the flaw percentage calculation module, and judging that the defective cloth is the defective cloth after the percentage of the flaw is larger than the threshold value of the percentage of the flaw point;
s4, all the calculation is placed on a cloud, then the calculation result is sent to a detection machine through the cloud, the result is returned to the machine, an alarm is given after the flaw result is received, automatic shutdown is carried out, and restarting processing is carried out when the set restarting time point is reached after the shutdown.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope of the disclosure being indicated by the following claims.
Claims (5)
1. The online intelligent cloth inspection detection system is characterized by comprising an ROI setting unit, a camera parameter adjusting unit, a central data processor, a scutching line detection system, a flaw point acquisition module, a flaw confirmation system, a cloth quality evaluation unit and a cloud data processing end, wherein the ROI setting unit is in bidirectional connection with the central data processor, the camera parameter adjusting unit is in bidirectional connection with the central data processor, the output end of the central data processor is in communication connection with the input end of the scutching line detection system, the output end of the central data processor is in communication connection with the input end of the flaw point acquisition module, the output end of the flaw point acquisition module is in communication connection with the input end of the flaw confirmation system, the output end of the flaw confirmation system is in communication connection with the input end of the cloth quality evaluation unit, and the central data processor is in bidirectional connection with the cloud data processing end;
the ROI setting unit is used for selecting according to the surface brightness of the image and performing panoramic preview processing;
the camera parameter adjusting unit is used for carrying out image acquisition and adjustment processing on a camera for detecting cloth;
the central data processor is used for carrying out centralized control processing on the data;
the open width line detection system is used for identifying open width lines and lines with poor vertical direction to carry out discrimination detection treatment;
the flaw point acquisition module is used for carrying out image acquisition processing on flaw points existing on the cloth;
the flaw confirmation system is used for performing type identification judgment treatment on flaws existing on the cloth;
the cloth quality evaluation unit is used for evaluating the quality of the cloth according to the number of flaw points on the whole cloth;
the cloud data processing end is used for carrying out cloud sharing on the acquired data and carrying out cloud processing on the data;
the ROI setting unit comprises a horizontal coordinate adjusting module, a vertical coordinate adjusting module and a panoramic preview module, wherein the output end of the horizontal coordinate adjusting module is in communication connection with the input end of the vertical coordinate adjusting module, and the output end of the vertical coordinate adjusting module is in communication connection with the input end of the panoramic preview module;
the horizontal coordinate adjusting module is used for adjusting the horizontal coordinate position of the image acquired by the camera;
the vertical coordinate adjusting module is used for adjusting the vertical coordinate position of the image acquired by the camera;
the panoramic preview module is used for placing a rectangular box in the brightest area of the image and automatically selecting panoramic preview;
the camera parameter adjusting unit comprises an exposure adjusting module and an image contrast adjusting module;
the exposure adjusting module is used for adjusting the exposure value of the camera;
the image contrast adjusting module is used for adjusting the brightness contrast of the acquired image;
the scutching line detection system comprises a scutching line detection unit, a scutching line quantity detection module and a spacing value detection module, wherein the scutching line detection unit is in bidirectional connection with the scutching line quantity detection module, the scutching line detection unit is in bidirectional connection with the spacing value detection module, and the scutching line detection unit comprises a broken needle flaw detection module, a broken yarn flaw detection module, a machine trace flaw detection module and an oil needle flaw detection module;
the open-width thread detection unit is used for detecting the open-width thread flaw state of the woven fabric;
the open-width thread quantity detection module is used for carrying out quantity detection processing on the open-width thread quantity of the woven cloth;
the interval value detection module is used for adjusting the interval between the open-width lines and detecting the interval distance value.
2. The online intelligent cloth inspection detection system according to claim 1, wherein the flaw verification system comprises a flaw size identification module, a block-shaped flaw point verification unit and a bad knitting needle flaw point verification unit, wherein the output end of the flaw point acquisition module is in communication connection with the input end of the flaw size identification module, the output end of the flaw size identification module is in communication connection with the input end of the block-shaped flaw point verification unit, the output end of the flaw size identification module is in communication connection with the input end of the bad knitting needle flaw point verification unit, and the output end of the block-shaped flaw point verification unit and the output end of the bad knitting needle flaw point verification unit are both in communication connection with the input end of the cloth quality evaluation unit;
the flaw point size identification module is used for calculating the flaw point area size existing on the cloth;
the block flaw confirming unit is used for judging the block flaw points of the flaw points obtained by the flaw point size identifying module according to the set block flaw point area size standard;
the defective knitting needle flaw point confirming unit is used for judging defective knitting needle flaw points according to the set defective knitting needle flaw point area size standard.
3. The online intelligent cloth inspection detection system according to claim 2, wherein the cloth quality evaluation unit comprises a flaw point sum calculation module, a flaw point percentage calculation module and a flaw cloth judging module, wherein the output end of the flaw point sum calculation module is in communication connection with the input end of the flaw point percentage calculation module, and the output end of the flaw point percentage calculation module is in communication connection with the input end of the flaw cloth judging module;
the flaw point sum calculating module is used for calculating the total area of flaw points on the whole cloth;
the flaw point percentage calculation module is used for calculating the area percentage of the total area with flaws;
the defective cloth judging module is used for judging defective cloth according to the total area occupied area percentage obtained by the defective point percentage calculating module.
4. An on-line intelligent cloth inspection detection system according to claim 3, wherein the output end of the open width line detection system and the output end of the cloth quality evaluation unit are both in communication connection with an alarm stop module, the output end of the alarm stop module is in communication connection with an alarm delay restarting module, the alarm stop module is used for carrying out audible and visual alarm processing when defects are found, and the alarm delay restarting module is used for restarting after the alarm stop of bad defects and carrying out delay detection.
5. The on-line intelligent cloth inspection detection system according to claim 4, wherein the central data processor is bidirectionally connected with an industrial camera, the central data processor is bidirectionally connected with a 6P terminal, the central data processor is bidirectionally connected with a 10P terminal, the 6P terminal is bidirectionally connected with a switching power supply, the 10P terminal is bidirectionally connected with a circle counting sensor, and the switching power supply is a DC24V power supply.
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