CN113392808B - Overfeeding control method for forming machine fabric - Google Patents
Overfeeding control method for forming machine fabric Download PDFInfo
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- CN113392808B CN113392808B CN202110762584.6A CN202110762584A CN113392808B CN 113392808 B CN113392808 B CN 113392808B CN 202110762584 A CN202110762584 A CN 202110762584A CN 113392808 B CN113392808 B CN 113392808B
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- 239000004744 fabric Substances 0.000 title claims abstract description 377
- 238000000034 method Methods 0.000 title claims abstract description 55
- 230000007246 mechanism Effects 0.000 claims abstract description 86
- 238000012545 processing Methods 0.000 claims abstract description 34
- 238000003860 storage Methods 0.000 claims abstract description 28
- 238000005259 measurement Methods 0.000 claims abstract description 25
- 238000001514 detection method Methods 0.000 claims abstract description 23
- 238000007599 discharging Methods 0.000 claims abstract description 6
- 230000008569 process Effects 0.000 claims description 16
- 239000000835 fiber Substances 0.000 claims description 3
- 238000005516 engineering process Methods 0.000 abstract description 21
- 230000007547 defect Effects 0.000 abstract description 8
- 239000002759 woven fabric Substances 0.000 description 17
- 238000004458 analytical method Methods 0.000 description 7
- 230000008859 change Effects 0.000 description 6
- 239000000758 substrate Substances 0.000 description 6
- 239000004753 textile Substances 0.000 description 5
- BQCADISMDOOEFD-UHFFFAOYSA-N Silver Chemical compound [Ag] BQCADISMDOOEFD-UHFFFAOYSA-N 0.000 description 3
- 238000013528 artificial neural network Methods 0.000 description 3
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- 229910052709 silver Inorganic materials 0.000 description 3
- 239000004332 silver Substances 0.000 description 3
- 238000009941 weaving Methods 0.000 description 3
- 238000004043 dyeing Methods 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 238000007730 finishing process Methods 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 239000010410 layer Substances 0.000 description 2
- 238000007639 printing Methods 0.000 description 2
- 239000002356 single layer Substances 0.000 description 2
- 238000013519 translation Methods 0.000 description 2
- 239000002699 waste material Substances 0.000 description 2
- 229920000742 Cotton Polymers 0.000 description 1
- 241001343354 Halenia corniculata Species 0.000 description 1
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- 238000007493 shaping process Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000012549 training Methods 0.000 description 1
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- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06C—FINISHING, DRESSING, TENTERING OR STRETCHING TEXTILE FABRICS
- D06C7/00—Heating or cooling textile fabrics
- D06C7/02—Setting
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
- G06K17/0022—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisions for transferring data to distant stations, e.g. from a sensing device
- G06K17/0025—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisions for transferring data to distant stations, e.g. from a sensing device the arrangement consisting of a wireless interrogation device in combination with a device for optically marking the record carrier
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
- G06K17/0022—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisions for transferring data to distant stations, e.g. from a sensing device
- G06K17/0029—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisions for transferring data to distant stations, e.g. from a sensing device the arrangement being specially adapted for wireless interrogation of grouped or bundled articles tagged with wireless record carriers
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- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
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- General Engineering & Computer Science (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Bioinformatics & Computational Biology (AREA)
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- Textile Engineering (AREA)
- Treatment Of Fiber Materials (AREA)
Abstract
The invention discloses a fabric overfeeding control method of a forming machine, wherein the fabric is provided with an information storage unit, and an information reading mechanism is arranged on a fabric feeding side or a fabric discharging side of a fabric overfeeding mechanism or on the fabric overfeeding mechanism, and the method comprises the following steps: (a) The information reading mechanism reads the fabric information of the information storage unit to obtain the fabric classification; (b) The fabric detection mechanism acquires fabric images or fabric texture information; (c) The electric controller of the setting machine or the independently arranged electric controller is used for calling an operation processing template matched with the fabric classification and processing the acquired fabric image or fabric texture information to obtain the fabric measurement density; (d) And calculating the overfeed amount of the fabric, assigning the overfeed amount to the fabric overfeed mechanism, and controlling overfeed of the fabric. The invention does not need to identify and judge the fabric image by the computer vision image processing and analyzing technology to obtain the fabric classification, and eliminates the defect that the computer vision image processing and analyzing technology is often wrong when judging the fabric classification.
Description
Technical Field
The invention relates to a fabric overfeed control method, in particular to a fabric overfeed control method during shaping of a fabric, and belongs to the technical field of textile dyeing and finishing processes.
Background
In the dyeing and finishing process of the fabric, the warp direction is subjected to larger tensile force, so that the warp direction is lengthened and the width is narrowed, and therefore, when the fabric is tentered or shaped, in order to overcome the unstable state, the feeding speed of the fabric is required to be adjusted, and overfeeding control is carried out, so that the dimensional stability of the fabric is ensured.
The overfeed control of the fabric is to adjust the proportional relation between the fabric feeding speed of the fabric feeding and the speed of the setting machine according to the process requirement and the required quantity, namely the overfeed quantity, so as to change the fabric setting and cropping density. For example, if the fabric feeding speed is greater than the speed of the setting machine, the warp yarns retract, the density rises, the warp shrinkage decreases, and the overfeed amount is controlled essentially by adjusting the overfeed roller linear speed to adjust the speed of the fabric fed into the setting machine.
Because the overfeed is directly related to the fabric density before overfeed, the technician typically determines the overfeed after first determining the fabric density before overfeed.
The existing fabric overfeed control method of the forming machine comprises that a fabric overfeed mechanism and an industrial camera are arranged on a fabric feeding side of the forming machine, the fabric overfeed mechanism comprises a fabric feeding overfeed roller, and the fabric feeding overfeed roller is controlled to rotate by an industrial control computer of the forming machine; the industrial personal computer calculates the fabric overfeed amount according to the fabric measurement density and assigns the fabric overfeed amount to the fabric overfeed mechanism, and the fabric overfeed mechanism controls the fabric overfeed through the fabric feeding overfeed roller. Therefore, the recognition of the fabric classification by adopting the computer vision image processing and analyzing technology is extremely important in the overfeed control method, because if the recognition of the fabric classification by adopting the computer vision image processing and analyzing technology is wrong, the industrial personal computer also generates errors according to the calculation processing template called by the fabric classification, so that the fabric measurement density is wrong, the industrial personal computer calculates the wrong fabric overfeed quantity according to the wrong fabric measurement density and assigns the wrong fabric overfeed quantity to the fabric overfeed mechanism, and finally, the fabric overfeed mechanism generates errors when overfeed control is carried out on the fabric through the fabric feeding overfeed roller, thereby generating quality accidents and causing waste products.
Since the computer vision image processing and analysis technology is important for classifying and identifying fabrics, many people in the field at home and abroad have studied how to improve the accuracy of classifying and identifying fabrics by upgrading the computer vision image processing and analysis software, such as image denoising, fourier transform, neural network technology, fuzzy C-means algorithm and the like, and do a lot of work for the same. The method comprises the steps of taking the production requirement of woven fabric structure identification of Huamao textile stock limited company as an application background, collecting fabric images of single-layer woven fabrics with plain, twill and satin, carrying out digital image processing on the single-layer woven fabrics by an industrial camera, and searching out a method for identifying the woven fabric structure and warp and weft density, wherein the identification of the woven fabric structure is written in a thesis of the university of east and south by a university of filling, and the identification of the woven fabric structure is written in Li Wei; academic journal "tissue structure of fabric is automatically identified by image analysis technique" of volume 32, 1 st period, 2011, 2 nd month "university of eastern China university school newspaper (natural science edition); automatic identification of the tissue structure of the fabric in the academic journal cotton textile technology, volume 30, phase 4, month 4, 2002; automatic identification of woven fabric tissue based on fuzzy clustering in academic journal, journal of textile, volume 34, 12, month 12, 2013. For another example, the Chinese patent application No. 201310517450.3 is a stripe fabric structure automatic identification method, which applies the stripe fabric structure to the automatic identification detection of woven cloth in the textile field through the computer vision image processing and analysis technology; the Chinese patent application No. 202010486331.6 provides a method for identifying structural parameters of woven fabrics based on a convolutional neural network, which can simultaneously detect and identify the warp and weft densities, the fabric tissues and the color yarn arrangement of the colored fabrics; the invention patent of China, application number 201810366154.0, a fabric tissue identification method based on translation phase-subtracting method, provides a fabric tissue identification method based on translation phase-subtracting method, calculates the weft yarn number, the warp yarn number and the fly number of the fabric tissue, and can obtain a tissue map of an image; in the Chinese patent, application number 201911119749.7, a weft finishing machine control method, a weft finishing machine control device, computer equipment and a storage medium, firstly, a plurality of industrial cameras respectively shoot fabrics to obtain a plurality of fabric images, a server extracts fabric image characteristics by utilizing a characteristic extraction algorithm, the types of the fabrics are identified according to the image characteristics, namely, the fabrics are classified, and then weft finishing treatment is carried out on the fabrics according to the fabric types, wherein the fabric types are matched with preset parameters from fabric templates; and so on, the documents and patents identified by the related computer vision image processing and analysis technology for classifying the fabrics can be enumerated in a large number.
Although many researchers in the aspect of fabric tissue structure recognition of the academic papers, periodicals and patents are provided, due to the characteristics of complex and changeable three-dimensional tissue structures of fabrics, the existing researches cannot accurately and effectively recognize the classification of the fabrics, and the main reason is that the existing computer vision image processing and analyzing technology has the defects all the time, and only after the segmentation of the textures of the fabrics is completed, the image texture features are extracted, the matching search of the texture features is performed, the judgment of the classification of the fabrics can be given out after the similarity of the textures and the trend of the textures are judged, and the identification is unstable and uncertain, so that the technology cannot be an accurate and reliable automatic recognition technology.
The method has the advantages that the first-order and second-order black-and-white gray level co-occurrence matrix parameters of the woven fabric tissue map are identified by BP neural network, namely Kuo and the like, of taiwan science and technology university in 2010, so that the woven fabric tissue structure classification of the woven fabric tissue map is realized, the robustness of the method is higher, and the classification result is influenced by BP neural network training samples; in 2007 to 2014, a woven fabric tissue circulation database is established at university of east China, university of hong Kong and university of Jiangnan, and the like, and the woven fabric tissue circulation and the woven fabric tissue structure types are determined through template matching. Chinese patent CN103106645B discloses a method for identifying a woven fabric structure, which has the following drawbacks: firstly, the recognition rate is not high, and particularly, the recognition rate of woven fabrics which are easy to distort and deform such as twill weave, satin weave, change weave and the like is low; secondly, samples which cannot cope well with uneven illumination, yarn thickness and color change require that the woven fabric must be kept complete, clean and flat, or be a non-plain colored fabric, and the application scene limit is very high.
Therefore, the defects of the fabric classification and identification method in the prior art by adopting the computer vision image processing and analysis technology are mainly that:
(1) Usually, the extraction and analysis of single or small quantity of feature points are generally low in recognition accuracy and even cannot be recognized; (2) The fabric varieties in the computer vision database are limited, and can not store hundreds of thousands of fabric varieties which are different from each other every day in the database, so that the condition that the fabric images collected by the industrial camera can not be matched with the fabric variety templates in the database often occurs, and therefore the fabric images can not be identified, and even identification errors occur; (3) The brightness and color change have great influence on the identification result, and the fabric tissue structure with uneven illumination, yarn thickness and color change cannot be dealt with; (4) It is difficult to identify the twisted, crimped weave structure of the yarn, especially for twill, satin and varying weaves.
Because the computer vision image processing and analysis technology has a plurality of defects on fabric classification and identification, fabric classification and identification errors often occur during overfeeding control of the fabric of the setting machine, so that an industrial personal computer is led to call an operation processing template which is not matched with the fabric to carry out operation processing, inaccurate and even wrong measurement density of the fabric and the wrong overfeeding amount generated by the inaccurate and wrong measurement density are obtained for overfeeding the fabric, the fabric is not refined and accurately overfed, the use value of the fabric is reduced, the deformation degree of the fabric is increased, the fabric is deformed more seriously, and waste products are caused.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, and provides the overfeed control method for the setting machine fabric, which does not need to identify and judge the fabric image by a computer vision image processing and analyzing technology to obtain the fabric classification, thereby avoiding the defects of low identification rate, unstable identification, uncertainty and easy error occurrence when the computer vision image processing and analyzing technology is adopted to judge the fabric classification, can quickly and accurately obtain the fabric classification before overfeeding the fabric, can ensure that the fabric is overfed and controlled by adopting correct fabric measurement density and fabric overfeed quantity, and has simple and reliable steps and high intelligent degree.
In order to solve the above technical problems, the present invention adopts a fabric overfeed control method for a setting machine, wherein a fabric overfeed mechanism is arranged on a fabric feeding side of the setting machine, the fabric overfeed mechanism comprises at least one fabric feeding overfeed roller, the fabric feeding overfeed roller is controlled to rotate by an electric controller of the setting machine or an independently arranged electric controller, an information storage unit for storing the fabric information is arranged on the fabric, an information reading mechanism for reading the information of the information storage unit is arranged on a fabric feeding side or a fabric discharging side of the fabric overfeed mechanism or on the fabric overfeed mechanism, a fabric detection mechanism is arranged on the fabric feeding side or the fabric discharging side of the information reading mechanism or at the information reading mechanism, and the information reading mechanism, the fabric detection mechanism and the electric controller of the setting machine are connected, or the independently arranged electric controllers, the method comprises:
(a) The information reading mechanism reads the fabric information of the fabric information storage unit, and the information reading mechanism is communicated with an electric controller of the setting machine or an independently arranged electric controller, and the electric controller of the setting machine or the independently arranged electric controller acquires the fabric classification;
(b) Before or after or simultaneously with step (a), the fabric detection mechanism acquires fabric image or fabric texture information;
(c) According to the acquired fabric classification, an electric controller of the setting machine or an independently arranged electric controller invokes an operation processing template matched with the fabric classification, and processes acquired fabric images or fabric texture information to acquire the fabric measurement density;
(d) And the electric controller of the setting machine or the independently arranged electric controller calculates the fabric overfeeding quantity according to the fabric measurement density and assigns the fabric overfeeding quantity to the fabric overfeeding mechanism, and the fabric overfeeding mechanism controls the fabric overfeeding through the fabric feeding overfeeding roller.
As a preferred embodiment of the present invention, the information storage unit includes two-dimensional code labels, radio frequency identification devices, bar codes, printed text labels, and marks directly on fabrics; the information reading mechanism comprises a two-dimensional code scanner, a radio frequency tag reader, a bar code scanner, a printed text reader and a symbol reader.
As a preferred embodiment of the present invention, the information storage unit stores fabric information including fabric classification.
As a preferred embodiment of the present invention, the information storage unit stores the fabric information, and further includes the fabric width, grammage, length, and fiber type.
As a preferred embodiment of the present invention, the fabric detecting mechanism includes an industrial camera or a photoelectric detecting sensor, which is connected to an electric controller of the setting machine or an independently provided electric controller.
In step (c), the electric controller of the setting machine or the independently arranged electric controller calls an operation processing template matched with the fabric classification, processes the acquired fabric image or fabric texture information, determines the weft yarn counting direction and calculates the number of weft yarns in a standard unit length, and obtains the fabric measurement density.
In step (c), the electric controller of the setting machine or the independently arranged electric controller calls an operation processing template matched with the fabric classification, processes the acquired fabric image or fabric texture information, determines the warp yarn counting direction and calculates the number of warp yarns in a standard unit length, and obtains the fabric measurement density.
As a preferred embodiment of the invention, the electric controller of the setting machine or the independently arranged electric controller comprises a digital controller or an embedded industrial controller or an industrial personal computer or a PLC programmable controller.
After the technical scheme is adopted, the invention has the following beneficial effects:
the invention provides a method for controlling overfeeding of a forming machine fabric, and simultaneously provides a method for identifying the type of a fabric organization structure, namely fabric classification, based on a non-contact automatic identification technology. The method adopts an information storage unit and an information reading mechanism, and before overfeeding the fabric, the information reading mechanism reads fabric information data of the information storage unit, so that fabric classification information is quickly and accurately obtained, automatic correct identification of fabric classification is completed, on the basis of correct fabric classification, an operation processing template matched with the fabric classification is called by an electric controller to carry out operation processing on the collected fabric image or fabric texture information, correct measurement density of the fabric is obtained, the correct fabric overfeeding amount is calculated by the electric controller according to the correct fabric measurement density and assigned to the fabric overfeeding mechanism, and the fabric overfeeding mechanism carries out accurate overfeeding control on the fabric through a fabric feeding overfeeding roller.
The invention thoroughly avoids inaccurate or wrong classification and identification of the fabric by the computer vision image processing and analyzing technology by directly reading the fabric classification information, avoids the defects that the computer vision image processing and analyzing technology cannot well cope with the samples of uneven fabric illumination, yarn thickness and color change, and the fabric is required to be kept complete, clean and smooth or is a non-plain colored fabric and has very high application scene limit, avoids the fabric measurement density and fabric overfeeding error caused by the factors, and greatly improves the fabric overfeeding precision.
The method is simple, easy and convenient to operate and high in accuracy and reliability.
Drawings
The following describes the embodiments of the present invention in further detail with reference to the drawings.
Fig. 1 is a schematic structural view of a setting machine according to a preferred embodiment of the present invention.
Detailed Description
Referring to fig. 1, a fabric overfeed control method for a setting machine, wherein a fabric overfeed mechanism 2 is arranged on a fabric feeding side of the setting machine 1, the fabric overfeed mechanism 2 comprises at least one fabric feeding overfeed roller 2a, two are shown in the drawing, one is an upper fabric feeding overfeed roller, the other is a lower fabric feeding overfeed roller, the fabric feeding overfeed roller 2a is controlled to rotate by an electric controller of the setting machine 1 or an independently arranged electric controller, the fabric 5 is provided with an information storage unit 6 for storing the fabric information, an information reading mechanism 3 for reading the information of the fabric 5 is arranged on a fabric feeding side or a fabric discharging side of the fabric overfeed mechanism 2 or the fabric overfeed mechanism 2, only the information reading mechanism 3 is arranged on the fabric feeding side of the fabric overfeed mechanism 2, the fabric detection mechanism 4 is not shown on the fabric feeding side of the fabric overfeed mechanism 2 and at the fabric overfeed mechanism 2, or the fabric feeding side of the information reading mechanism 3 is only provided with an information detection mechanism 4, the fabric detection mechanism 4 is shown in the drawing and the information detection mechanism 3 is arranged on the fabric feeding side of the fabric overfeed mechanism 3 or the fabric overfeed mechanism 3, the information detection mechanism is not shown on the fabric detection mechanism 3 and the fabric detection mechanism 4 is arranged on the fabric feeding side, and the information detection mechanism is arranged on the fabric overfeed side, and the information detection mechanism 4 is arranged on the fabric overfeed side and the fabric overfeed mechanism is independently arranged on the fabric detection mechanism, and the fabric overfeed mechanism is arranged on the fabric detection side and the fabric detector.
(a) The information reading mechanism 3 reads the fabric information of the fabric 5 information storage unit 6, the information reading mechanism 3 communicates with the electric controller of the setting machine 1 or the independently arranged electric controller, and the electric controller of the setting machine 1 or the independently arranged electric controller obtains the fabric classification;
(b) Before or after or simultaneously with step (a), the fabric detection mechanism 4 acquires fabric image or fabric texture information;
(c) According to the acquired fabric classification, an electric controller of the setting machine 1 or an independently arranged electric controller invokes an operation processing template matched with the fabric classification, and processes acquired fabric images or fabric texture information to acquire fabric measurement density;
(d) The electric controller of the setting machine 1 or the independently arranged electric controller calculates the fabric overfeeding quantity according to the fabric measurement density and assigns the fabric overfeeding quantity to the fabric overfeeding mechanism 2, and the fabric overfeeding mechanism 2 controls the fabric overfeeding through the fabric feeding overfeeding roller 2 a. In this step, the electric controller calculates the fabric overfeed amount and assigns the fabric overfeed amount to the motor driver of the fabric feeding overfeed roller 2a of the fabric overfeed mechanism 2, usually according to the fabric measured density and the fabric process target density; when the fabric is subjected to overfeed control, when the fabric measurement density is smaller than the process target density, the electric controller increases the rotating speed of the fabric feeding overfeed roller 2a, so that the speed of the fabric entering the fabric overfeed mechanism 2 is higher than the speed of the setting machine, namely the speed of a chain, and the falling fabric density of the setting machine is promoted to be increased to reach the fabric process target density; on the contrary, when the measured density of the fabric is larger than the process target density, the electric controller reduces the rotating speed of the fabric feeding overfeeding roller 2a, so that the speed of the fabric entering the fabric overfeeding mechanism 2 is lower than the speed of the setting machine, namely the speed of a chain, and the falling fabric density of the setting machine is promoted to be reduced to reach the process target density of the fabric.
As a preferred embodiment of the present invention, the information storage unit 6 includes a two-dimensional code tag, a radio frequency identification device, a bar code, a printed text tag, a direct marking on a fabric, etc., the radio frequency identification device includes an RFID radio frequency electronic tag, and the direct marking on the fabric may be punching a hole on the fabric, etc.; the information reading mechanism 3 comprises a two-dimensional code scanner, a radio frequency label reader, a bar code scanner, a printed text reader and a symbol reader.
As a preferred embodiment of the present invention, the information storage unit stores fabric information including fabric classification. The fabric classifications include plain weave, twill weave, jacquard weave, satin weave, double layer weave, weft double weave, and the like.
As a preferred embodiment of the present invention, the information storage unit stores the fabric information, and further includes the fabric width, grammage, length, and fiber type.
As a preferred embodiment of the invention, the fabric inspection device 4 comprises an industrial camera or a photoelectric inspection sensor, which is connected to the electrical controller of the setting machine 1 or to a separately provided electrical controller.
In step (c), the electric controller of the setting machine 1 or the independently arranged electric controller retrieves an operation processing template matched with the fabric classification, processes the acquired fabric image or fabric texture information, determines the weft yarn counting direction and calculates the number of weft yarns in a standard unit length, and obtains the fabric measurement density.
In the above embodiment, more specifically, after the electric controller performs preprocessing such as noise filtering, strong contrast, uniformity improvement and the like on the collected fabric image or fabric texture information in the air space, according to the obtained fabric classification, the electric controller calls an operation processing template matched with the fabric classification to extract texture primitives from the collected fabric image or fabric texture information, forms a mesh image by using the extracted texture primitives respectively and calculates a weft angle, and after searching two isolated primitive points of the fabric in the weft angle direction, the electric controller forms weft yarns by using morphological transformation and morphological expansion connection and combining the extracted texture primitives, and finally, the electric controller calculates the weft yarn density by counting the number of weft yarns in the fabric image or fabric texture information to obtain the fabric measurement density.
In step (c), the electric controller of the setting machine 1 or the independently arranged electric controller retrieves an operation processing template matched with the fabric classification, processes the acquired fabric image or fabric texture information, determines the warp yarn counting direction and calculates the number of warp yarns in a standard unit length, and obtains the fabric measurement density.
As a preferred embodiment of the present invention, the electric controller of the setting machine 1 or the independently arranged electric controller includes a digital controller having a man-machine operation interface, such as a DDC digital controller or an embedded industrial controller or an industrial control computer or a PLC programmable controller, and the electric controller is not shown in the figure.
In a preferred embodiment of the present invention, the fabric information including the fabric classification is stored in the information storage unit according to the fabric weaving process during weaving or after weaving is completed or at the time of sale, the information storage unit is arranged on the fabric 5 by fixing or pasting or printing, and the like, and plain weave, twill weave, jacquard weave and the like in the fabric classification can be respectively recorded as 1, 2, 3 and the like in the information storage unit, so that when the information reading mechanism reads 1 in the information storage unit, the ID number of the fabric classification is obtained, the fabric classification can be obtained by connecting the fabric classification feature library of the electric controller or the wireless network such as ethernet or WIFI with the data server, the fabric classification can be obtained as the plain weave by the above technical means, and the like, and similarly, when 2 is read, the fabric classification can be obtained by the technical means, and the implementation is convenient. In specific implementation, for example, when the fabric information storage unit and the information reading mechanism adopt an RFID non-contact wireless communication automatic identification technology, a flexible substrate wearable RFID electronic tag is adopted and is attached to the fabric, and the tag comprises an RFID antenna and an antenna port which are arranged on the substrate; a conductive silver ink printing layer is printed on the substrate, and a higgs4 radio frequency tag chip is stuck at the antenna port through the conductive silver ink; when the fabric carrying tag runs to the automatic identification area of the radio frequency tag reader, the electric controller obtains the ID number of the fabric classification, and the setting machine is connected with the data server through the fabric classification feature library of the electric controller or through the wireless network such as Ethernet or WIFI, and the like, and invokes the data corresponding to the ID number to obtain the fabric classification such as plain weave fabric.
The invention also provides a fabric-based UHF RFID tag, which comprises a substrate, wherein the substrate is fabric, conductive ink is printed on the substrate in a screen printing mode to form the hollowed-out dipole antenna, and the hollowed-out dipole antenna is connected with a chip. The fabric is a high-density fabric, the high-density fabric is a product with the density of warp and weft yarns in the fabric exceeding 200 pieces per square inch, and the conductive ink is conductive silver ink.
Through testing, the invention directly reads the fabric information data of the information storage unit through the information reading mechanism, and automatically and accurately identifies the fabric classification, thereby enabling the setting machine to accurately overfeed the fabric by adopting the correct fabric overfeed quantity, eliminating the defects of inaccurate, unable to identify and even error in the identification of the fabric classification by the setting machine through the computer vision image processing and analysis technology in the prior art, avoiding the overfeed control of the fabric by the setting machine by adopting the inaccurate and even error fabric measurement density and fabric overfeed quantity, and obtaining good effect.
Claims (8)
1. The utility model provides a forming machine fabric overfeed control method, the fabric overfeed mechanism (2) is had to the side of advancing of forming machine (1), fabric overfeed mechanism (2) include at least one advance cloth overfeed roller (2 a), advance cloth overfeed roller (2 a) by the electric controller or the electric controller control rotation that independently set up of forming machine (1), its characterized in that: the fabric is provided with an information storage unit for storing the fabric information, an information reading mechanism (3) for reading the information of the fabric information storage unit is arranged on the fabric feeding side or the fabric discharging side of the fabric overfeeding mechanism (2) or on the fabric overfeeding mechanism (2), a fabric detection mechanism (4) is arranged on the fabric feeding side or the fabric discharging side of the information reading mechanism (3) or at the information reading mechanism (3), and the information reading mechanism (3) and the fabric detection mechanism (4) are connected with an electric controller of a setting machine (1) or an independently arranged electric controller, and the method comprises the following steps:
(a) The information reading mechanism (3) reads the fabric information of the fabric information storage unit, the information reading mechanism (3) is communicated with an electric controller of the setting machine (1) or an independently arranged electric controller, and the electric controller of the setting machine (1) or the independently arranged electric controller acquires the fabric classification;
(b) Before or after or simultaneously with step (a), the fabric detection mechanism (4) acquires fabric images or fabric texture information;
(c) According to the acquired fabric classification, an electric controller of the setting machine (1) or an independently arranged electric controller invokes an operation processing template matched with the fabric classification, and processes acquired fabric images or fabric texture information to acquire the fabric measurement density;
(d) And the electric controller of the setting machine (1) or the independently arranged electric controller calculates the fabric overfeeding quantity according to the fabric measurement density and assigns the fabric overfeeding quantity to the fabric overfeeding mechanism (2), and the fabric overfeeding mechanism (2) controls the fabric overfeeding through the fabric feeding overfeeding roller (2 a).
2. The method for overfeeding control of a forming fabric according to claim 1, wherein: the information storage unit comprises a two-dimensional code label, a radio frequency identification device, a bar code, a printed text label and a direct marking on the fabric; the information reading mechanism (3) comprises a two-dimensional code scanner, a radio frequency tag reader, a bar code scanner, a printed text reader and a symbol reader.
3. The method for overfeeding control of a forming fabric according to claim 1, wherein: the information storage unit stores fabric information including fabric classification.
4. A method of overfeeding control of a forming fabric according to claim 3, wherein: the information storage unit stores fabric information, and also comprises the fabric width, gram weight, length and fiber type.
5. The method for overfeeding control of a forming fabric according to claim 1, wherein: the fabric detection mechanism (4) comprises an industrial camera or a photoelectric detection sensor, and the industrial camera or the photoelectric detection sensor is connected with an electric controller of the setting machine (1) or an independently arranged electric controller.
6. The method for overfeeding control of a forming fabric according to claim 1, wherein: in the step (c), an electric controller of the setting machine (1) or an independently arranged electric controller calls an operation processing template matched with the fabric classification, processes the acquired fabric image or fabric texture information, determines the weft yarn counting direction and calculates the number of weft yarns in a standard unit length, so as to obtain the fabric measurement density.
7. The method for overfeeding control of a forming fabric according to claim 1, wherein: in the step (c), an electric controller of the setting machine (1) or an independently arranged electric controller calls an operation processing template matched with the fabric classification, processes the acquired fabric image or fabric texture information, determines the warp counting direction and calculates the number of warp yarns in a standard unit length, so as to obtain the fabric measurement density.
8. The method of overfeed control of a forming fabric according to any one of claims 1 to 7, wherein: the electric controller of the setting machine (1) or the independently arranged electric controller comprises a digital controller or an embedded industrial controller or an industrial control computer or a PLC programmable controller.
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