CN114372972A - Textile fabric production online detection method and device and computer storage medium - Google Patents
Textile fabric production online detection method and device and computer storage medium Download PDFInfo
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- CN114372972A CN114372972A CN202210025342.3A CN202210025342A CN114372972A CN 114372972 A CN114372972 A CN 114372972A CN 202210025342 A CN202210025342 A CN 202210025342A CN 114372972 A CN114372972 A CN 114372972A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
- G06T7/0006—Industrial image inspection using a design-rule based approach
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/24—Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B21/00—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
- G01B21/02—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring length, width, or thickness
- G01B21/06—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring length, width, or thickness specially adapted for measuring length or width of objects while moving
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
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- G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/90—Determination of colour characteristics
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- G06T2207/30—Subject of image; Context of image processing
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Abstract
The invention discloses an online detection method, equipment and computer storage medium for textile fabric production, which analyze the average fabric width, warp density and weft density of each section of fabric area in a textile fabric to be detected through detection, acquire the matching degree of the color pattern contour and each appearance parameter in each section of fabric area in the textile fabric to be detected, analyze the appearance quality influence proportional coefficient of each section of fabric area, simultaneously detect the unit area gram weight of each section of fabric area in the textile fabric to be detected and each internal parameter of each sampling sample in each section of fabric area, analyze the internal quality influence proportional coefficient of each section of fabric area, comprehensively calculate the comprehensive fabric quality influence coefficient of the textile fabric to be detected, if the unit area gram weight of each section of fabric area in the textile fabric to be detected and each internal parameter of each sampling sample in each section of fabric area, place the textile fabric to an unqualified area, thereby ensuring the production quality of the textile fabric, the economic benefit of textile fabric production enterprises is improved.
Description
Technical Field
The invention relates to the field of textile fabric production detection, in particular to an online detection method and equipment for textile fabric production and a computer storage medium.
Background
Along with the continuous development and the perfection of weaving knowledge system and subject system, simultaneously along with people's economic level constantly improves, people also constantly improve to textile fabric's quality requirement, in order to guarantee textile fabric quality, need carry out on-line measuring after textile fabric produces to the convenience carries out subsequent improvement processing to textile fabric.
At present, the existing textile fabric production detection method has some defects:
1. the existing production detection of the textile fabric usually adopts a manual detection mode, the manual detection of the appearance quality of the textile fabric has low requirements on the quality inspection experience of workers, but the single repetitive detection mode has high labor intensity and is easy to cause detection errors, so that the detection accuracy and reliability of the parameter data of the textile fabric are reduced, and the quality of the textile fabric does not accord with the production standard;
2. the existing textile fabric production detection mode cannot detect the internal parameters of the textile fabric manually, so that the internal quality influence of the textile fabric cannot be accurately analyzed, the quality analysis result of the textile fabric has errors, the subsequent processing treatment of the textile fabric is influenced, and the economic benefit of textile fabric production enterprises is lost;
in order to solve the problems, an online detection method, online detection equipment and a computer storage medium for textile fabric production are designed.
Disclosure of Invention
The invention aims to provide an online detection method and equipment for textile fabric production and a computer storage medium, which solve the problems in the background technology.
In order to achieve the aim, the invention provides an online detection method for textile fabric production, which comprises the following steps:
dividing the textile fabric to be detected in the textile fabric production, detecting the fabric width of each detection position in each section of fabric area in the textile fabric to be detected, and obtaining the average fabric width of each section of fabric area in the textile fabric to be detected;
detecting the number of warps and the number of wefts in each section of fabric area in the textile fabric to be detected, and analyzing the density of the warps and the density of the wefts in each section of fabric area in the textile fabric to be detected;
acquiring a color pattern contour image of each section of fabric area in the textile fabric to be detected, and comparing to obtain the color pattern contour matching degree in each section of fabric area in the textile fabric to be detected;
acquiring images of all sections of fabric areas in the textile fabric to be detected, extracting all appearance parameters in the images of all sections of fabric areas in the textile fabric to be detected, and analyzing the appearance quality influence proportional coefficient of all sections of fabric areas in the textile fabric to be detected;
monitoring the gram weight of each sampling sample in each section of fabric area in the textile fabric to be detected, and analyzing the unit area gram weight of each section of fabric area in the textile fabric to be detected;
detecting each internal parameter of each sampling sample in each section of fabric area in the textile fabric to be detected, and analyzing the internal quality influence proportional coefficient of each section of fabric area in the textile fabric to be detected;
and comprehensively calculating the comprehensive fabric quality influence coefficient of the textile fabric to be detected, comparing the comprehensive fabric quality influence coefficient with the set standard textile fabric quality influence coefficient, and if the comprehensive fabric quality influence coefficient is greater than the set standard textile fabric quality influence coefficient, placing the textile fabric to an unqualified textile fabric area.
In one possible design, the step of detecting the fabric width of each detection position in each section of fabric area in the textile fabric to be detected according to the division of the textile fabric to be detected in the textile fabric production to obtain the average fabric width of each section of fabric area in the textile fabric to be detected comprises:
s11, dividing the textile fabric to be detected in the textile fabric production into fabric areas according to a set length dividing mode, and marking the fabric areas of the textile fabric to be detected as AiWherein i is 1, 2.. times.n;
s12, arranging a plurality of detection positions on the edge of each section of fabric area in the textile fabric to be detected, detecting the fabric width of each detection position in each section of fabric area in the textile fabric to be detected, and arranging each detection position in the textile fabric to be detectedThe width of the fabric at each detection position in the section fabric area is marked as LibjWherein j is 1, 2.. multidot.m;
s13, detecting the fabric width L of each detected position in each section of fabric area in the textile fabric to be detectedibjSubstitution formula
Obtaining the average fabric width of each section of fabric area in the textile fabric to be detected
In a possible design, analyzing the warp density and the weft density of each section of the fabric area in the textile fabric to be detected according to detecting the number of the warp yarns and the number of the weft yarns in each section of the fabric area in the textile fabric to be detected includes:
s21, detecting the number of warp yarns in each section of fabric area in the textile fabric to be detected, and marking the number of warp yarns in each section of fabric area in the textile fabric to be detected as Aix；
S22, averaging the fabric width of each section of fabric area in the textile fabric to be detected
Number A of warp yarns in each section of fabric area in textile fabric to be detectediSubstituting x into the formula
Obtaining the density rho of the warp yarns in each section of fabric area in the textile fabric to be detectedix′；
S23, detecting the number of weft yarns in each section of fabric area in the textile fabric to be detected, and marking the number of weft yarns in each section of fabric area in the textile fabric to be detected as Aiy；
S24, counting the number A of weft yarns in each section of fabric area in the textile fabric to be detectediSubstituting y into the formula
Obtaining the textile fabric to be detectedWeft density rho in each fabric sectioniy', wherein DSetting upExpressed as the set division length of the textile fabric to be tested.
In a possible design, the step of obtaining the matching degree of the color pattern contour in each section of the fabric area in the textile fabric to be detected by comparing the color pattern contour images obtained by obtaining the color pattern contour image of each section of the fabric area in the textile fabric to be detected comprises the following steps:
s31, optically scanning each section of fabric area in the textile fabric to be detected to obtain each section of fabric area image in the textile fabric to be detected, and obtaining the color pattern contour image of each section of fabric area in the textile fabric to be detected;
s32, extracting a set color pattern outline image of a preset textile fabric, and comparing and matching the color pattern outline image of each section of the fabric area in the textile fabric to be detected with the set color pattern outline image;
s33, counting the matching degree of the color pattern contour in each section of the fabric area in the textile fabric to be detected, and marking the matching degree of the color pattern contour in each section of the fabric area in the textile fabric to be detected as
In one possible design, after the step of obtaining the images of the fabric areas of the textile fabric to be detected, the method includes:
s41, extracting the number of yarn joints in the image of each section of the fabric area in the textile fabric to be detected, and marking the number of the yarn joints in each section of the fabric area in the textile fabric to be detected as w1ai；
S42, extracting the yarn breakage number in the image of each section of fabric area in the textile fabric to be detected, and marking the yarn breakage number in each section of fabric area in the textile fabric to be detected as w2ai；
S43, extracting the area of the hole area in the image of each section of the fabric area in the textile fabric to be detected, and marking the area of the hole area in each section of the fabric area in the textile fabric to be detected as w3ai；
S44, extracting to be examinedMeasuring the areas of the dirt areas in the images of the fabric areas of the sections in the textile fabric, and marking the areas of the dirt areas in the fabric areas of the sections in the textile fabric to be detected as w4ai；
S45, detecting the fabric width L of each detected position in each section of fabric area in the textile fabric to be detectedibjAnd the density rho of the warp yarns in each section of fabric area in the textile fabric to be detectedix' and weft yarn density rho in each section of fabric area in textile fabric to be detectediy' degree of matching of color pattern contour in each section of fabric area in textile fabric to be detected
Substitution formula
Obtaining the appearance quality influence proportional coefficient xi i of each section of fabric area in the textile fabric to be detectedOuter coverWherein λ is1、λ2、λ3、λ4Respectively representing the quality influence weight coefficients corresponding to the yarn joint number, the yarn broken number, the broken hole area and the dirt area in the textile fabric image.
In one possible design, the gram weight per unit area of each section of the fabric area in the textile fabric to be detected is as follows:
s51, sampling edge waste in each section of fabric area in the textile fabric to be detected, and detecting the gram weight of each sampled sample in each section of fabric area in the textile fabric to be detected;
s52, acquiring the area of each sampling sample in each section of fabric area in the textile fabric to be detected;
s53, analyzing the gram weight of each section of the fabric area in the textile fabric to be detected according to the gram weight and the area of each sampled sample in each section of the fabric area in the textile fabric to be detected, and marking the gram weight of each section of the fabric area in the textile fabric to be detected as g' ai。
In a possible design, analyzing the intrinsic quality influence proportional coefficient of each section of the fabric area in the textile fabric to be detected according to each intrinsic parameter of each sampled sample in each section of the fabric area in the textile fabric to be detected comprises:
s61, detecting the color fastness of each sampling sample in each section of fabric area in the textile fabric to be detected, and marking the color fastness of each sampling sample in each section of fabric area in the textile fabric to be detected as r1 icfWherein f is 1,2,. and v;
s62, detecting the shrinkage rate of each sample in each section of fabric area in the textile fabric to be detected, and marking the shrinkage rate of each sample in each section of fabric area in the textile fabric to be detected as
S63, detecting the air permeability of each sample in each section of fabric area in the textile fabric to be detected, and marking the air permeability of each sample in each section of fabric area in the textile fabric to be detected as
S64, detecting the tensile strength of each sample in each section of fabric area in the textile fabric to be detected, and marking the tensile strength of each sample in each section of fabric area in the textile fabric to be detected as the tensile strength
S65, determining the gram weight g' a of each section of fabric area in the textile fabric to be detectediSubstitution formula
Obtaining the intrinsic quality influence proportional coefficient xi i of each section of fabric area in the textile fabric to be detectedInner partWherein mu represents the correction coefficient of the gram weight of the textile fabric, GSign boardRepresents the standard unit area gram weight, deltag, of the textile fabric to be detectedAllow forExpressed as the allowable grammage error, epsilon, of the textile fabric1、ε2、ε3、ε4Respectively expressed as textile fabricsThe weight coefficient of quality influence corresponding to color fastness, shrinkage, air permeability and tensile strength, R1、R2、R3、R4Respectively representing the standard color fastness, the standard shrinkage, the standard air permeability and the standard tensile strength of the textile fabric to be detected.
In one possible design, the calculation method of the comprehensive fabric quality influence coefficient of the textile fabric to be detected is as follows:
influencing a proportional coefficient xi i of appearance quality of each section of fabric area in the textile fabric to be detectedOuter coverAnd the internal quality influence proportional coefficient xi i of each section of fabric area in the textile fabric to be detectedInner partSubstitution formula
Obtaining comprehensive fabric quality influence coefficient xi 'of the textile fabric to be detected'HealdAnd the alpha is expressed as an influence weight index of the appearance quality of the textile fabric.
The present invention also provides an apparatus comprising: the system comprises a processor, a memory and a network interface, wherein the memory and the network interface are connected with the processor; the network interface is connected with a nonvolatile memory in the server; when the processor runs, the computer program is called from the nonvolatile memory through the network interface, and the computer program runs through the memory, so that the online detection method for textile fabric production is executed.
The invention also provides a computer storage medium comprising a memory and a processor;
the memory is used for storing a computer program;
the processor is configured to execute a computer program stored in the memory;
the computer program is used for executing the online detection method for textile fabric production.
Compared with the prior art, the textile fabric production online detection method, the textile fabric production online detection equipment and the computer storage medium have the following beneficial effects:
(1) the invention provides an online detection method, equipment and computer storage medium for textile fabric production, which divide the textile fabric to be detected in the textile fabric production, detect and analyze the average fabric width, warp density and weft density of each section of fabric area in the textile fabric to be detected, thereby improving the detection accuracy and reliability of textile fabric appearance parameter data, providing reliable reference data for analyzing the appearance quality influence proportional coefficient of each section of fabric area in the later period, acquiring the color pattern profile matching degree and each appearance parameter in each section of fabric area in the textile fabric to be detected, analyzing the appearance quality influence proportional coefficient of each section of fabric area in the textile fabric to be detected, thereby realizing the automatic detection of the appearance quality of the textile fabric, avoiding the problems of high labor intensity and high error rate of manual detection, and simultaneously detecting the unit area gram weight of each section of fabric area in the textile fabric to be detected and each sampling sample in each section of fabric area And analyzing the internal quality influence proportional coefficient of each section of the fabric area in the textile fabric to be detected by using the internal parameters, so that the internal quality influence of the textile fabric can be accurately analyzed, and the error of the quality analysis result of the textile fabric in the later stage is reduced.
(2) According to the online detection method, the online detection equipment and the computer storage medium for textile fabric production, provided by the invention, the comprehensive fabric quality influence coefficient of the textile fabric to be detected is calculated and compared with the set standard textile fabric quality influence coefficient, and if the comprehensive fabric quality influence coefficient is larger than the set standard textile fabric quality influence coefficient, the textile fabric is placed in a unqualified area of the textile fabric, so that the quality of the textile fabric is ensured to be in accordance with the production standard, the subsequent processing treatment of the textile fabric is prevented from being influenced, and the economic benefit of textile fabric production enterprises is further ensured.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The application aims to provide the online detection method for the textile fabric production, and has the characteristic of convenience in online detection of the textile fabric production.
The above object of the present invention is achieved by the following technical solutions:
an online detection method for textile fabric production comprises the following steps:
and step S1, dividing the textile fabric to be detected in the textile fabric production, detecting the fabric width of each detection position in each section of fabric area in the textile fabric to be detected, and obtaining the average fabric width of each section of fabric area in the textile fabric to be detected.
In the preferred technical scheme of the present application, the step of detecting the fabric width of each detection position in each section of fabric area in the textile fabric to be detected according to the division of the textile fabric to be detected in the textile fabric production to obtain the average fabric width of each section of fabric area in the textile fabric to be detected includes:
s11, dividing the textile fabric to be detected in the textile fabric production into fabric areas according to a set length dividing mode, and marking the fabric areas of the textile fabric to be detected as AiWherein i is 1, 2.. times.n;
s12, arranging a plurality of detection positions on the edge of each section of fabric area in the textile fabric to be detected, detecting the fabric width of each detection position in each section of fabric area in the textile fabric to be detected, and marking the fabric width of each detection position in each section of fabric area in the textile fabric to be detected as LibjWherein j is 1, 2.. multidot.m;
s13, detecting the fabric width L of each detected position in each section of fabric area in the textile fabric to be detectedibjSubstitution formula
Obtaining the average fabric width of each section of fabric area in the textile fabric to be detected
And step S2, detecting the number of warp yarns and the number of weft yarns in each section of fabric area in the textile fabric to be detected, and analyzing the density of the warp yarns and the density of the weft yarns in each section of fabric area in the textile fabric to be detected.
In a preferred technical scheme of the present application, analyzing the warp density and the weft density of each section of the fabric area in the textile fabric to be detected according to detecting the number of warp yarns and the number of weft yarns in each section of the fabric area in the textile fabric to be detected includes:
s21, detecting the number of warp yarns in each section of fabric area in the textile fabric to be detected, and marking the number of warp yarns in each section of fabric area in the textile fabric to be detected as Aix；
S22, averaging the fabric width of each section of fabric area in the textile fabric to be detected
Number A of warp yarns in each section of fabric area in textile fabric to be detectediSubstituting x into the formula
Obtaining the density rho of the warp yarns in each section of fabric area in the textile fabric to be detectedix′；
S23, detecting the number of weft yarns in each section of fabric area in the textile fabric to be detected, and marking the number of weft yarns in each section of fabric area in the textile fabric to be detected as Aiy；
S24, counting the number A of weft yarns in each section of fabric area in the textile fabric to be detectediSubstituting y into the formula
Obtaining the weft yarn density rho in each section of fabric area in the textile fabric to be detectediy', wherein DSetting upExpressed as the set division length of the textile fabric to be tested.
Specifically, the textile fabric to be detected in the textile fabric production is divided, and the average fabric width, warp density and weft density of each section of fabric area in the textile fabric to be detected are detected and analyzed, so that the detection accuracy and reliability of the textile fabric appearance parameter data are improved, and reliable reference data are provided for analyzing the appearance quality influence proportional coefficient of each section of fabric area in the later period.
And step S3, acquiring the color pattern contour image of each section of fabric area in the textile fabric to be detected, and comparing to obtain the color pattern contour matching degree in each section of fabric area in the textile fabric to be detected.
In a preferred technical scheme of the present application, the obtaining of the matching degree of the color pattern contour in each section of the fabric area in the textile fabric to be detected by comparing the color pattern contour images obtained by obtaining the color pattern contour image of each section of the fabric area in the textile fabric to be detected includes the following steps:
s31, optically scanning each section of fabric area in the textile fabric to be detected through high-definition camera equipment, obtaining each section of fabric area image in the textile fabric to be detected, and obtaining the color pattern contour image of each section of fabric area in the textile fabric to be detected;
s32, extracting a set color pattern outline image of a preset textile fabric, and comparing and matching the color pattern outline image of each section of the fabric area in the textile fabric to be detected with the set color pattern outline image;
s33, counting the matching degree of the color pattern contour in each section of the fabric area in the textile fabric to be detected, and marking the matching degree of the color pattern contour in each section of the fabric area in the textile fabric to be detected as
And step S4, acquiring area images of each section of the textile fabric to be detected, extracting each appearance parameter in the area images of each section of the textile fabric to be detected, and analyzing the appearance quality influence proportion coefficient of each section of the textile fabric to be detected.
In a preferred technical scheme of the present application, after the step of obtaining the images of the fabric regions of each section of the textile fabric to be detected, the method includes:
s41, extracting the number of yarn joints in the image of each section of the fabric area in the textile fabric to be detected, and marking the number of the yarn joints in each section of the fabric area in the textile fabric to be detected as w1ai；
S42, extracting the yarn breakage number in the image of each section of fabric area in the textile fabric to be detected, and marking the yarn breakage number in each section of fabric area in the textile fabric to be detected as w2ai；
S43, extracting the area of the hole area in the image of each section of the fabric area in the textile fabric to be detected, and marking the area of the hole area in each section of the fabric area in the textile fabric to be detected as w3ai；
S44, extracting the areas of the dirt areas in the images of the fabric areas of the sections in the textile fabric to be detected, and marking the areas of the dirt areas in the fabric areas of the sections in the textile fabric to be detected as w4ai；
S45, detecting the fabric width L of each detected position in each section of fabric area in the textile fabric to be detectedibjAnd the density rho of the warp yarns in each section of fabric area in the textile fabric to be detectedix' and weft yarn density rho in each section of fabric area in textile fabric to be detectediy' degree of matching of color pattern contour in each section of fabric area in textile fabric to be detected
Substitution formula
Obtaining the appearance quality influence proportional coefficient xi i of each section of fabric area in the textile fabric to be detectedOuter coverWherein λ is1、λ2、λ3、λ4Respectively expressed as the number of yarn joints, the number of broken yarns and the number of broken yarns in the textile fabric imageAnd the mass influence weight coefficient corresponding to the area of the hole area and the area of the dirt area.
Specifically, the method and the device analyze the influence proportion coefficient of the appearance quality of each section of the textile fabric to be detected by acquiring the matching degree of the color pattern contour and each appearance parameter in each section of the textile fabric to be detected, thereby realizing the automatic detection of the appearance quality of the textile fabric and avoiding the problems of high labor intensity and high error rate of manual detection.
And step S5, monitoring the gram weight of each sample in each section of fabric area in the textile fabric to be detected, and analyzing the unit area gram weight of each section of fabric area in the textile fabric to be detected.
In a preferred technical scheme of the application, the gram weight per unit area of each section of the fabric area in the textile fabric to be detected is analyzed in the following manner:
s51, sampling edge waste in each section of fabric area in the textile fabric to be detected, detecting the gram weight of each sample in each section of fabric area in the textile fabric to be detected, and marking the gram weight of each sample in each section of fabric area in the textile fabric to be detected as gicfWherein f is 1,2,. and v;
s52, acquiring the area of each sampling sample in each section of fabric area in the textile fabric to be detected, and marking the area of each sampling sample in each section of fabric area in the textile fabric to be detected as Sicf；
S53, the gram weight g of each sampling sample in each section of fabric area in the textile area to be detectedicfAnd the area s of each sampling sample in each section of fabric area in the textile fabric to be detectedicfSubstitution formula
Obtaining the gram weight g' a of each section of fabric area in the textile fabric to be detectedi。
And step S6, detecting each internal parameter of each sampling sample in each section of fabric area in the textile fabric to be detected, and analyzing the internal quality influence proportional coefficient of each section of fabric area in the textile fabric to be detected.
In a preferred technical scheme of the present application, analyzing the intrinsic quality influence proportional coefficient of each section of the fabric area in the textile fabric to be detected according to each intrinsic parameter of each sampled sample in each section of the fabric area in the textile fabric to be detected includes:
s61, detecting the color fastness of each sample in each section of fabric area in the textile fabric to be detected through a light source detector, and marking the color fastness of each sample in each section of fabric area in the textile fabric to be detected as r1 icfWherein f is 1,2,. and v;
s62, detecting the shrinkage of each sample in each section of fabric area in the textile fabric to be detected through a shrinkage tester, and marking the shrinkage of each sample in each section of fabric area in the textile fabric to be detected as
S63, detecting the air permeability of each sample in each section of fabric area in the textile fabric to be detected through an air permeability tester, and marking the air permeability of each sample in each section of fabric area in the textile fabric to be detected as
S64, detecting the tensile strength of each sampling sample in each section of fabric area in the textile fabric to be detected through a tensile strength tester, and marking the tensile strength of each sampling sample in each section of fabric area in the textile fabric to be detected as
S65, determining the gram weight g' a of each section of fabric area in the textile fabric to be detectediSubstitution formula
Obtaining the intrinsic quality influence proportional coefficient xi i of each section of fabric area in the textile fabric to be detectedInner partWherein mu represents the grammage of the textile fabricCorrection factor, GSign boardRepresents the standard unit area gram weight, deltag, of the textile fabric to be detectedAllow forExpressed as the allowable grammage error, epsilon, of the textile fabric1、ε2、ε3、ε4Respectively expressed as the weight coefficients of the quality influence corresponding to the color fastness, the shrinkage rate, the air permeability and the tensile strength of the textile fabric, R1、R2、R3、R4Respectively representing the standard color fastness, the standard shrinkage, the standard air permeability and the standard tensile strength of the textile fabric to be detected.
Specifically, the intrinsic quality influence proportional coefficient of each section of the fabric area in the textile fabric to be detected is analyzed by detecting the unit area gram weight of each section of the fabric area in the textile fabric to be detected and each intrinsic parameter of each sampling sample in each section of the fabric area, so that the intrinsic quality influence of the textile fabric can be accurately analyzed, and the error of the later-stage textile fabric quality analysis result is reduced.
Step S7, comprehensively calculating the comprehensive fabric quality influence coefficient of the textile fabric to be detected, comparing the comprehensive fabric quality influence coefficient of the textile fabric to be detected with the set standard textile fabric quality influence coefficient, if the comprehensive fabric quality influence coefficient of the textile fabric to be detected is larger than the set standard textile fabric quality influence coefficient, placing the textile fabric to be detected in a unqualified area of the textile fabric, and if the comprehensive fabric quality influence coefficient of the textile fabric to be detected is smaller than or equal to the set standard textile fabric quality influence coefficient, placing the textile fabric to be detected in a qualified area of the textile fabric.
In a preferred technical scheme of the application, the calculation mode of the comprehensive fabric quality influence coefficient of the textile fabric to be detected is as follows:
influencing a proportional coefficient xi i of appearance quality of each section of fabric area in the textile fabric to be detectedOuter coverAnd the internal quality influence proportional coefficient xi i of each section of fabric area in the textile fabric to be detectedInner partSubstitution formula
Obtaining comprehensive fabric quality influence coefficient xi 'of the textile fabric to be detected'HealdAnd the alpha is expressed as an influence weight index of the appearance quality of the textile fabric.
Specifically, the method can ensure that the quality of the textile fabric meets the production standard, and avoids the influence on the subsequent processing of the textile fabric, thereby ensuring the economic benefit of textile fabric production enterprises.
The second purpose of the application is to provide equipment which has the characteristic of being convenient for online detection of textile fabric production.
The second objective of the present invention is achieved by the following technical solutions:
an apparatus, comprising: the system comprises a processor, a memory and a network interface, wherein the memory and the network interface are connected with the processor; the network interface is connected with a nonvolatile memory in the server; when the processor runs, the computer program is called from the nonvolatile memory through the network interface, and the computer program runs through the memory, so that the online detection method for textile fabric production is executed.
The third purpose of the application is to provide a computer storage medium, which can store corresponding programs and has the characteristic of being convenient for online detection of textile fabric production.
The third object of the invention is achieved by the following technical scheme:
a computer storage medium comprising a memory and a processor;
the memory is used for storing a computer program;
the processor is configured to execute a computer program stored in the memory;
the computer program is used for executing the online detection method for textile fabric production.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.
Claims (10)
1. An online detection method for textile fabric production is characterized in that: the method comprises the following steps:
dividing the textile fabric to be detected in the textile fabric production, detecting the fabric width of each detection position in each section of fabric area in the textile fabric to be detected, and obtaining the average fabric width of each section of fabric area in the textile fabric to be detected;
detecting the number of warps and the number of wefts in each section of fabric area in the textile fabric to be detected, and analyzing the density of the warps and the density of the wefts in each section of fabric area in the textile fabric to be detected;
acquiring a color pattern contour image of each section of fabric area in the textile fabric to be detected, and comparing to obtain the color pattern contour matching degree in each section of fabric area in the textile fabric to be detected;
acquiring images of all sections of fabric areas in the textile fabric to be detected, extracting all appearance parameters in the images of all sections of fabric areas in the textile fabric to be detected, and analyzing the appearance quality influence proportional coefficient of all sections of fabric areas in the textile fabric to be detected;
monitoring the gram weight of each sampling sample in each section of fabric area in the textile fabric to be detected, and analyzing the unit area gram weight of each section of fabric area in the textile fabric to be detected;
detecting each internal parameter of each sampling sample in each section of fabric area in the textile fabric to be detected, and analyzing the internal quality influence proportional coefficient of each section of fabric area in the textile fabric to be detected;
and comprehensively calculating the comprehensive fabric quality influence coefficient of the textile fabric to be detected, comparing the comprehensive fabric quality influence coefficient with the set standard textile fabric quality influence coefficient, and if the comprehensive fabric quality influence coefficient is greater than the set standard textile fabric quality influence coefficient, placing the textile fabric to an unqualified textile fabric area.
2. The textile fabric production online detection method according to claim 1, characterized in that: the method for detecting the fabric width of each detection position in each section of fabric area in the textile fabric to be detected according to the division of the textile fabric to be detected in the textile fabric production comprises the following steps:
s11, dividing the textile fabric to be detected in the textile fabric production into fabric areas according to a set length dividing mode, and marking the fabric areas of the textile fabric to be detected as AiWherein i is 1, 2.. times.n;
s12, arranging a plurality of detection positions on the edge of each section of fabric area in the textile fabric to be detected, detecting the fabric width of each detection position in each section of fabric area in the textile fabric to be detected, and marking the fabric width of each detection position in each section of fabric area in the textile fabric to be detected as LibjWherein j is 1, 2.. multidot.m;
s13, detecting the fabric width L of each detected position in each section of fabric area in the textile fabric to be detectedibjSubstitution formula
Obtaining the average fabric width of each section of fabric area in the textile fabric to be detected
3. The textile fabric production online detection method according to claim 1, characterized in that: the analyzing the warp density and the weft density of each section of the fabric area in the textile fabric to be detected according to the detecting of the number of the warp yarns and the number of the weft yarns in each section of the fabric area in the textile fabric to be detected comprises the following steps:
s21, detecting the number of warp yarns in each section of fabric area in the textile fabric to be detected, and marking the number of warp yarns in each section of fabric area in the textile fabric to be detected as Aix；
S22, averaging the fabric width of each section of fabric area in the textile fabric to be detected
Number A of warp yarns in each section of fabric area in textile fabric to be detectediSubstituting x into the formula
Obtaining the density rho of the warp yarns in each section of fabric area in the textile fabric to be detectedix′；
S23, detecting the number of weft yarns in each section of fabric area in the textile fabric to be detected, and marking the number of weft yarns in each section of fabric area in the textile fabric to be detected as Aiy；
S24, counting the number A of weft yarns in each section of fabric area in the textile fabric to be detectediSubstituting y into the formula
Obtaining the weft yarn density rho in each section of fabric area in the textile fabric to be detectediy', wherein DSetting upExpressed as the set division length of the textile fabric to be tested.
4. The textile fabric production online detection method according to claim 1, characterized in that: the method comprises the following steps of obtaining color pattern contour images of all sections of fabric areas in the textile fabric to be detected, and comparing the color pattern contour images to obtain the color pattern contour matching degree of all sections of fabric areas in the textile fabric to be detected:
s31, optically scanning each section of fabric area in the textile fabric to be detected to obtain each section of fabric area image in the textile fabric to be detected, and obtaining the color pattern contour image of each section of fabric area in the textile fabric to be detected;
s32, extracting a set color pattern outline image of a preset textile fabric, and comparing and matching the color pattern outline image of each section of the fabric area in the textile fabric to be detected with the set color pattern outline image;
s33, counting the matching degree of the color pattern contour in each section of the fabric area in the textile fabric to be detected, and marking the matching degree of the color pattern contour in each section of the fabric area in the textile fabric to be detected as
5. The textile fabric production online detection method according to claim 1, characterized in that: after the step of obtaining the area images of each section of the textile fabric to be detected, the method comprises the following steps:
s41, extracting the number of yarn joints in the image of each section of the fabric area in the textile fabric to be detected, and marking the number of the yarn joints in each section of the fabric area in the textile fabric to be detected as w1ai；
S42, extracting the yarn breakage number in the image of each section of fabric area in the textile fabric to be detected, and marking the yarn breakage number in each section of fabric area in the textile fabric to be detected as w2ai；
S43, extracting the area of the hole area in the image of each section of the fabric area in the textile fabric to be detected, and marking the area of the hole area in each section of the fabric area in the textile fabric to be detected as w3ai；
S44, extracting the areas of the dirt areas in the images of the fabric areas of the sections in the textile fabric to be detected, and marking the areas of the dirt areas in the fabric areas of the sections in the textile fabric to be detected as w4ai；
S45, detecting the fabric width L of each detected position in each section of fabric area in the textile fabric to be detectedibjAnd the density rho of the warp yarns in each section of fabric area in the textile fabric to be detectedix' and weft yarn density rho in each section of fabric area in textile fabric to be detectediy' degree of matching of color pattern contour in each section of fabric area in textile fabric to be detected
Substitution formula
Obtaining the appearance quality influence proportional coefficient xi i of each section of fabric area in the textile fabric to be detectedOuter coverWherein λ is1、λ2、λ3、λ4Respectively expressed as the correspondence of the number of yarn joints, the number of yarn breakage, the area of a hole area and the area of a dirt area in the textile fabric imageThe quality of (2) affects the weight coefficient.
6. The textile fabric production online detection method according to claim 1, characterized in that: the unit area gram analysis mode of each section of fabric area in the textile fabric to be detected is as follows:
s51, sampling edge waste in each section of fabric area in the textile fabric to be detected, and detecting the gram weight of each sampled sample in each section of fabric area in the textile fabric to be detected;
s52, acquiring the area of each sampling sample in each section of fabric area in the textile fabric to be detected;
s53, analyzing the gram weight of each section of the fabric area in the textile fabric to be detected according to the gram weight and the area of each sampled sample in each section of the fabric area in the textile fabric to be detected, and marking the gram weight of each section of the fabric area in the textile fabric to be detected as g' ai。
7. The textile fabric production online detection method according to claim 1, characterized in that: the step of analyzing the internal quality influence proportion coefficient of each section of the fabric area in the textile fabric to be detected according to the internal parameters of each sampling sample in each section of the fabric area in the textile fabric to be detected comprises the following steps:
s61, detecting the color fastness of each sampling sample in each section of fabric area in the textile fabric to be detected, and marking the color fastness of each sampling sample in each section of fabric area in the textile fabric to be detected as r1 icfWherein f is 1,2,. and v;
s62, detecting the shrinkage rate of each sample in each section of fabric area in the textile fabric to be detected, and marking the shrinkage rate of each sample in each section of fabric area in the textile fabric to be detected as
S63, detecting the air permeability of each sampling sample in each section of fabric area in the textile fabric to be detected, and detecting each section of fabric area in the textile fabric to be detectedThe gas permeability of the inner sample is marked
S64, detecting the tensile strength of each sample in each section of fabric area in the textile fabric to be detected, and marking the tensile strength of each sample in each section of fabric area in the textile fabric to be detected as the tensile strength
S65, determining the gram weight g' a of each section of fabric area in the textile fabric to be detectediSubstitution formula
Obtaining the intrinsic quality influence proportional coefficient xi i of each section of fabric area in the textile fabric to be detectedInner partWherein mu represents the correction coefficient of the gram weight of the textile fabric, GSign boardRepresents the standard unit area gram weight, deltag, of the textile fabric to be detectedAllow forExpressed as the allowable grammage error, epsilon, of the textile fabric1、ε2、ε3、ε4Respectively expressed as the weight coefficients of the quality influence corresponding to the color fastness, the shrinkage rate, the air permeability and the tensile strength of the textile fabric, R1、R2、R3、R4Respectively representing the standard color fastness, the standard shrinkage, the standard air permeability and the standard tensile strength of the textile fabric to be detected.
8. The textile fabric production online detection method according to claim 1, characterized in that: the comprehensive fabric quality influence coefficient of the textile fabric to be detected is calculated in the following mode:
influencing a proportional coefficient xi i of appearance quality of each section of fabric area in the textile fabric to be detectedOuter coverAnd the internal quality influence proportional coefficient xi i of each section of fabric area in the textile fabric to be detectedInner partSubstitution formula
Obtaining comprehensive fabric quality influence coefficient xi 'of the textile fabric to be detected'HealdAnd the alpha is expressed as an influence weight index of the appearance quality of the textile fabric.
9. An apparatus, characterized by: the method comprises the following steps: the system comprises a processor, a memory and a network interface, wherein the memory and the network interface are connected with the processor; the network interface is connected with a nonvolatile memory in the server; the processor retrieves a computer program from the non-volatile memory through the network interface when running, and runs the computer program through the memory to execute the online detection method for textile fabric production according to any one of the claims 1 to 8.
10. A computer storage medium, characterized in that: comprising a memory and a processor;
the memory is used for storing a computer program;
the processor is configured to execute a computer program stored in the memory;
the computer program is used for executing the textile fabric production online detection method of any one of the claims 1-8.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115409642A (en) * | 2022-08-26 | 2022-11-29 | 绍兴永通印花有限公司 | Intelligent textile printing manufacturing and production management system |
| CN115661113A (en) * | 2022-11-09 | 2023-01-31 | 浙江酷趣智能科技有限公司 | Moisture-absorbing and sweat-releasing fabric and preparation process thereof |
| CN117490812A (en) * | 2023-12-29 | 2024-02-02 | 常州宏大智慧科技有限公司 | Fabric width-direction gram weight deviation online detection method |
-
2022
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115409642A (en) * | 2022-08-26 | 2022-11-29 | 绍兴永通印花有限公司 | Intelligent textile printing manufacturing and production management system |
| CN115409642B (en) * | 2022-08-26 | 2023-04-18 | 绍兴永通印花有限公司 | Intelligent textile printing manufacturing and production management system |
| CN115661113A (en) * | 2022-11-09 | 2023-01-31 | 浙江酷趣智能科技有限公司 | Moisture-absorbing and sweat-releasing fabric and preparation process thereof |
| CN115661113B (en) * | 2022-11-09 | 2023-05-09 | 浙江酷趣智能科技有限公司 | Moisture-absorbing sweat-releasing fabric and preparation process thereof |
| CN117490812A (en) * | 2023-12-29 | 2024-02-02 | 常州宏大智慧科技有限公司 | Fabric width-direction gram weight deviation online detection method |
| CN117490812B (en) * | 2023-12-29 | 2024-04-02 | 常州宏大智慧科技有限公司 | Fabric width-direction gram weight deviation online detection method |
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