CN104515778B - Yarn qualities TT&C system based on image recognition - Google Patents
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- CN104515778B CN104515778B CN201510021703.7A CN201510021703A CN104515778B CN 104515778 B CN104515778 B CN 104515778B CN 201510021703 A CN201510021703 A CN 201510021703A CN 104515778 B CN104515778 B CN 104515778B
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Abstract
The present invention relates to a kind of yarn qualities TT&C system based on image recognition, including storage device, image capture device, image detecting apparatus and master controller, storage device is for storing diameter reference range and the maximum fluctuation difference of yarn, image capture device is for shooting the yarn image of spinning machine, image detecting apparatus is connected with image capture device, the diameter average in the predetermined unit length of yarn and diameter fluctuation difference is gone out based on yarn image recognition, master controller is connected with storage device respectively with image detecting apparatus, based on diameter average and the comparative result of diameter reference range and diameter fluctuation difference and the comparative result of maximum fluctuation difference, determine whether that spinning machine sends fault excision signal.By means of the invention it is possible to set spinning machine the most flexibly goes out yarn quality, and improve the efficiency of yarn qualities observing and controlling.
Description
Technical field
The present invention relates to yarn measurement and control area, particularly relate to a kind of yarn qualities TT&C system based on image recognition.
Background technology
Yarn is the essential industry raw material manufacturing weaving finished product.Weaving finished product disclosure satisfy that wearing the clothes in people's clothing, food, lodging and transportion--basic necessities of life
Warming demand, along with expanding economy and the raising of people's living standard, also when the river rises the boat goes up, no to the requirement of weaving finished product for people
Need only to warming, and need that pattern is various, dress material reliable in quality is next to the skin, thus, weaving manufacturer is in order in keen competition
Middle acquisition one seat, it has to making great efforts to improve the quality of weaving finished product, wherein, the quality control of yarn is to be woven into quality
The first controlled controls operation.
Yarn qualities control device of the prior art, the independent photoelectric-type electronic yarn clearer of many employings or capacity-type electronic
Yarn clearer detects, and then occurs that the yarn of fault excises, but such observing and controlling mode underaction, it is impossible in real time
The different yarn qualities that customization weaving manufacturer needs, meanwhile, photoelectric-type electronic yarn clearer or capacity-type electronic yarn clearer due to
The testing mechanism precision used is the highest, limits the accuracy of detection of yarn.
Accordingly, it would be desirable to a kind of new spinning machine yarn clearer controlling yarn qualities, on the one hand, can flexible customization yarn matter
Amount, on the other hand, it is possible to abandon original photo-electric or condenser type detection means, uses the higher detection means of precision to carry out yarn
Line mass detects, for the reference data that the excision offer of Yarn Defect is more valuable.
Summary of the invention
In order to solve the problems referred to above, the invention provides a kind of yarn qualities TT&C system based on image recognition, transformation
Existing photo-electric or condenser type TT & C, use efficient image acquisition and identification technology to carry out defect detection, carry meanwhile
For user interface customize yarn qualities grade, and, it is possible to the concrete condition of current Yarn Defect is carried out in time local with
Remote prompts.
According to an aspect of the present invention, it is provided that a kind of yarn qualities TT&C system based on image recognition, described system
Including storage device, image capture device, image detecting apparatus and master controller, described storage device is for storing the straight of yarn
Footpath reference range and maximum fluctuation difference, described image capture device is for shooting the yarn image of spinning machine, and described image is examined
Measurement equipment is connected with described image capture device, goes out the diameter in the predetermined unit length of yarn based on described yarn image recognition
Average and diameter fluctuation difference, described master controller is connected with described storage device respectively with described image detecting apparatus, based on
Described diameter average and the comparative result of described diameter reference range and described diameter fluctuation difference and described maximum fluctuation are poor
The comparative result of value, it is determined whether send fault excision signal to described spinning machine.
More specifically, in described yarn qualities TT&C system based on image recognition, also include: power supply potential device,
It is connected with mains electricity input end, line voltage to be converted to the running voltage that described system needs；Pressure stabilizing device, with described power supply
Potential device connects, and thinks that described system provides stable running voltage；User input device, for according to the operation of user with
Arranging the credit rating of yarn, user input device is additionally operable to input pre-thermal signal and enabling signal；Timing device, for described system
System provides the timing signal of 20 seconds；Yarn passes speed measurement equipment, is connected with the driving cylinder of the winding yarn of spinning machine, based on institute
State the longitudinal transmission speed driving the rotating speed of cylinder to calculate yarn；Wireless receiving and dispatching interface, for crossing thick signal, yarn mistake by yarn
Thin signal or yarn inequality signal are wirelessly sent to the spinning and weaving workshop management platform of far-end；Described storage device is defeated with described user
Entering equipment to connect, described storage device has prestored credit rating fluctuation difference synopsis, according at described credit rating ripple
Moment value synopsis finds fluctuation difference that the credit rating with the yarn received mates as maximum fluctuation difference, in institute
Stating in credit rating fluctuation difference synopsis, credit rating is the highest, and fluctuation difference is the least, and described storage device also prestores
Yarn upper limit gray threshold and yarn lower limit gray threshold, described yarn upper limit gray threshold and described yarn lower limit gray threshold
For by the yarn in image and background separation, described storage device is also connected with described master controller, be used for storing described directly
Footpath reference range, described diameter reference range includes the diameter benchmark upper limit and diameter benchmark lower limit；Described image capture device with
Described yarn passes speed measurement equipment and connects, and calculates the shooting interval time based on predetermined unit length and longitudinal transmission speed, based on
Described shooting interval time captured in real-time yarn image；Described image detecting apparatus includes at contrast enhancement unit, gray processing
Reason unit, median filter unit, yarn cutting unit and quantity statistic unit, described contrast enhancement unit is adopted with described image
Collection equipment connects, and so that described yarn image to perform contrast enhancement processing, output strengthens image, described gray processing processing unit
Being connected with described contrast enhancement unit, gray processing processes described enhancing image with output gray level image, described medium filtering
Unit is connected with described gray processing processing unit, with to described gray level image perform medium filtering to export filtering image, institute
State yarn cutting unit to be connected respectively with described storage device and described median filter unit, with by gray scale in described filtering image
Value pixel identification between described yarn upper limit gray threshold and described yarn lower limit gray threshold also forms yarn subimage,
Described quantity statistics unit is connected with described yarn cutting unit, measures the predetermined unit length of yarn in described yarn subimage
Interior diameter average and diameter fluctuation difference；Described master controller and described user input device, described storage device, described fixed
Time equipment and described image detecting apparatus connect respectively, when receiving described pre-thermal signal, enter preheating mode, when receiving
During described enabling signal, enter start-up mode；Wherein, in the preheating mode of described master controller, described master controller starts
Described timing device starts timing, in the multiple predetermined unit length in 20 seconds will received at described image detecting apparatus
Diameter average average further to obtain accumulative average, described accumulative average is fluctuated 10% using as described
The diameter benchmark upper limit and described diameter benchmark lower limit, and the described diameter benchmark upper limit and described diameter benchmark lower limit are stored institute
State storage device；In the preheating mode of described master controller, described master controller performs following operation: when described diameter average
During beyond the described diameter benchmark upper limit, send fault excision signal and thick signal crossed by yarn, when described diameter average is less than described
During the diameter benchmark upper limit, send fault excision signal and the meticulous signal of yarn, when described diameter average is at described diameter benchmark model
When enclosing interior and described diameter fluctuation difference more than or equal to described maximum fluctuation difference, send fault excision signal and yarn inequality letter
Number, described diameter average in described diameter reference range and described diameter fluctuation difference less than described maximum fluctuation difference time,
Send reliable in quality signal；User input device first inputs pre-thermal signal, inputs enabling signal afterwards.
More specifically, in described yarn qualities TT&C system based on image recognition, also include: two-way speaker,
It is connected with described master controller, crosses thick signal, the meticulous signal of described yarn or described yarn inequality letter with output and described yarn
Number respectively corresponding voice document.
More specifically, in described yarn qualities TT&C system based on image recognition, described contrast enhancement unit, institute
State gray processing processing unit, described median filter unit, described yarn cutting unit and described quantity statistics unit to be respectively adopted
Independent fpga chip realizes.
More specifically, in described yarn qualities TT&C system based on image recognition, described user input device is key
Dish or touch screen.
More specifically, in described yarn qualities TT&C system based on image recognition, by described contrast enhancement unit,
Described gray processing processing unit, described median filter unit, described yarn cutting unit and described quantity statistics unit are integrated in
In one piece of fpga chip.
More specifically, in described yarn qualities TT&C system based on image recognition, described image capture device is hung down
Directly the longitudinal transmission direction in yarn is placed.
Accompanying drawing explanation
Below with reference to accompanying drawing, embodiment of the present invention are described, wherein:
Fig. 1 is the structure square frame according to the yarn qualities TT&C system based on image recognition shown in embodiment of the present invention
Figure.
Detailed description of the invention
Below with reference to accompanying drawings the embodiment of the yarn qualities TT&C system based on image recognition of the present invention is carried out
Describe in detail.
As far back as primitive society period, ancients for the change of acclimatization, have understood and have gathered materials on the spot, utilized natural resources to make
For weaving and the raw material of printing and dyeing, and the textile tool being simple to manufacture.Until today, our daily clothing, some the articles for daily use
It it is all the product of weaving and printing technology with the art work.Simply in the modern society that economic height is flourishing, people have been unsatisfactory for
His these basic demands to textile are hidden in wearing to warm up, and increasingly harsh and severe to the quality of textile.
In order to improve the quality of textile, it is necessary to each fabrication stage of textile is carried out quality monitoring, especially yarn
In the line stage, it is good that yarn stage quality is done, and just can hold whole textile from source and manufacture level and class, the yarn of link
If the difference that stage quality does, the quality of textile just lacks controllability.
Yarn, refers to be processed into the product of certain fineness with various textile fabrics, is used for weaving cotton cloth, rope making, line processed, knitting
With embroidery etc..
Yarn can be divided into: (1) staple yarn, by chopped fiber (atural staple fibre or chemical fibre staple) through spinning processing
Become, point ring spun yarn, open-end-spinning, certainly pick up yarn etc.；(2) continuous filament yarn, such as natural silk and chemical-fibres filaments, divides twist or is not added with
Pick up, smooth long filament or modified continuous filament etc.；(3) chopped fiber and continuous filament yarn combination yarn, such as polyester-cotton blend filament core-spun yarn etc..
The yarn qualities detection means detection mode of prior art is the most backward, and numerical control is the highest, it is impossible to customization yarn matter
Amount, more cannot provide the reference information relevant to the fault detected.
The yarn qualities TT&C system based on image recognition of the present invention, it is provided that user interface sets voluntarily for weaving manufacturer
The fixed gauze credit rating needed, simultaneously with more intuitively, more advanced image acquisition and the technology of identification perform the fault inspection of yarn
Survey, additionally it is possible to the defect type of fault is provided, improves accuracy and the controllability of yarn qualities TT&C system.
Fig. 1 is the structure square frame according to the yarn qualities TT&C system based on image recognition shown in embodiment of the present invention
Figure, described system includes: image capture device 1, image detecting apparatus 2, master controller 3, storage device 4, pressure stabilizing device 5 and electricity
Source potential device 6, described master controller 3 and described image capture device 1, described image detecting apparatus 2, described storage device 4
Connecting respectively with described pressure stabilizing device 5, described image capture device 1 is connected with described image detecting apparatus 2, described pressure stabilizing device
5 are connected with described power supply potential device 6.
Described storage device 4 is for storing diameter reference range and the maximum fluctuation difference of yarn, and described image acquisition sets
Standby 1 for shooting the yarn image of spinning machine, and described image detecting apparatus 2 goes out the predetermined of yarn based on described yarn image recognition
Diameter average in unit length and diameter fluctuation difference, described master controller 3 is based on described diameter average and described diameter base
The comparative result of quasi-scope and described diameter fluctuation difference and the comparative result of described maximum fluctuation difference, it is determined whether to institute
State spinning machine and send fault excision signal.
Described yarn qualities TT&C system is mainly used in monitoring a yarn road, road, it is possible to by appropriate reconstruction, for supervising simultaneously
Control multichannel yarn.
Then, continue the concrete structure of the yarn qualities TT&C system based on image recognition of the present invention is carried out further
Explanation.
Described power supply potential device 6 is connected with mains electricity input end, so that line voltage to be converted to the work that described system needs
Make voltage；Described pressure stabilizing device 5 is connected with described power supply potential device 6, thinks that described system provides stable running voltage.
Described yarn qualities TT&C system also includes: user input device, is used for the operation according to user to arrange yarn
Credit rating, user input device is additionally operable to input pre-thermal signal and enabling signal.
Described yarn qualities TT&C system also includes: timing device, provides the timing signal of 20 seconds for described system.
Described yarn qualities TT&C system also includes: yarn passes speed measurement equipment, with the driving of the winding yarn of spinning machine
Cylinder connects, and rotating speed based on described driving cylinder calculates longitudinal transmission speed of yarn.
Described yarn qualities TT&C system also includes: wireless receiving and dispatching interface, for yarn is crossed thick signal, the meticulous letter of yarn
Number or yarn inequality signal be wirelessly sent to far-end spinning and weaving workshop management platform.
Described storage device 4 is connected with described user input device, and described storage device 4 has prestored credit rating ripple
Moment value synopsis, according to the credit rating of the yarn found and receive in described credit rating fluctuation difference synopsis
The fluctuation difference joined is as maximum fluctuation difference, and in described credit rating fluctuation difference synopsis, credit rating is the highest, fluctuation
Difference is the least.
Described storage device 4 has also prestored yarn upper limit gray threshold and yarn lower limit gray threshold, described yarn
Upper limit gray threshold and described yarn lower limit gray threshold are for by the yarn in image and background separation, described storage device 4
Also being connected with described master controller 3, be used for storing described diameter reference range, described diameter reference range includes on diameter benchmark
Limit and diameter benchmark lower limit.
Described image capture device 1 passes speed measurement equipment and is connected with described yarn, based on predetermined unit length and longitudinally passes
The dynamic speed calculation shooting interval time, based on described shooting interval time captured in real-time yarn image.Described image capture device 1
High-definition camera can be used.
Described image detecting apparatus 2 includes contrast enhancement unit, gray processing processing unit, median filter unit, yarn
Cutting unit and quantity statistic unit, described contrast enhancement unit is connected with described image capture device 1, with to described yarn
Image performs contrast enhancement processing, and output strengthens image, and described gray processing processing unit is with described contrast enhancement unit even
Connecing, gray processing processes described enhancing image and processes single with output gray level image, described median filter unit and described gray processing
Unit connects, so that described gray level image is performed medium filtering to export filtering image.
Described yarn cutting unit is connected respectively with described storage device 4 and described median filter unit, with by described filter
Gray value pixel identification between described yarn upper limit gray threshold and described yarn lower limit gray threshold group in ripple image
Becoming yarn subimage, described quantity statistics unit is connected with described yarn cutting unit, measures yarn in described yarn subimage
Predetermined unit length in diameter average and diameter fluctuation difference.
Described master controller 3 and described user input device, described storage device 4, described timing device and described image
Detection equipment 2 connects respectively, when receiving described pre-thermal signal, enters preheating mode, when receiving described enabling signal,
Enter start-up mode.
Wherein, in the preheating mode of described master controller 3, described master controller 3 starts described timing device and starts meter
Time, the diameter average in multiple predetermined unit length in 20 seconds will received at described image detecting apparatus 2 is further
Average to obtain accumulative average, described accumulative average is fluctuated 10% using as the described diameter benchmark upper limit and institute
State diameter benchmark lower limit, and the described diameter benchmark upper limit and described diameter benchmark lower limit are stored described storage device.
In the preheating mode of described master controller 3, described master controller 3 performs following operation: when described diameter average
During beyond the described diameter benchmark upper limit, send fault excision signal and thick signal crossed by yarn, when described diameter average is less than described
During the diameter benchmark upper limit, send fault excision signal and the meticulous signal of yarn, when described diameter average is at described diameter benchmark model
When enclosing interior and described diameter fluctuation difference more than or equal to described maximum fluctuation difference, send fault excision signal and yarn inequality letter
Number, described diameter average in described diameter reference range and described diameter fluctuation difference less than described maximum fluctuation difference time,
Send reliable in quality signal；User input device first inputs pre-thermal signal, inputs enabling signal afterwards.
Wherein, described yarn qualities TT&C system can also include two-way speaker, is connected with described master controller 3,
The voice crossing thick signal, the meticulous signal of described yarn or described yarn inequality signal difference the most corresponding with described yarn with output is civilian
Part；Described contrast enhancement unit, described gray processing processing unit, described median filter unit, described yarn cutting unit and
Described quantity statistics unit can be respectively adopted independent fpga chip and realize, it is also possible to by described contrast enhancement unit,
Described gray processing processing unit, described median filter unit, described yarn cutting unit and described quantity statistics unit are integrated in
In one piece of fpga chip, described user input device can be selected for keyboard or touch screen, and also can be by described image capture device 1
The longitudinal transmission direction being perpendicular to yarn is placed.
It addition, the function of mains transformer is power transmission, voltage transformation and is dielectrically separated from, as a kind of main soft magnetism
Electromagnetic component, and is widely used in Power Electronic Technique in power technology.
According to the size of delivering power, mains transformer can be divided into several grades: more than 10kVA for high-power, 10kVA～
0.5kVA is middle power, 0.5kVA～25VA is small-power, and below 25VA is micropower.Delivering power is different, mains transformer
Design the most different, it may be that self-evident.Someone is power transmission according to its major function, English name
" Power Transformers " is translated into " power transformer ", is still using in many documents and materials.Almost all of
Electronic product will be used mains transformer, according to the technique for coiling meeting of different use occasion (different purposes) transformators
Different requirement.The function of transformator mainly has: voltage transformation；Impedance transformation；Isolation；Voltage stabilizing (magnetic saturation transformator)
Deng, the core configuration that transformator is conventional typically has E type and c-type iron core.
It addition, manostat is the equipment making output voltage stabilization.Manostat regulating circuit, control circuit and servomotor
Deng composition.When input voltage or load change, control circuit is sampled, compares, amplifies, and then drives servomotor to turn
Dynamic, make the position change of pressure regulator carbon brush, by automatically adjusting coil ratio, thus keep stablizing of output voltage.
Manostat can be widely applied to: industrial and mining establishment, oil field, railway, construction site, school, hospital, post and telecommunications, hotel, section
The electronic computer of Yan Deng department, precision machine tool, computed tomography (CT), precision instrument, assay device, elevator shine
Bright, import equipment and production line etc. need the place of power good voltage.It is also adapted to that supply voltage is too low or too high, ripple
The user of the low-voltage network end that dynamic amplitude is big and the big electrical equipment of load change, be particularly well-suited to all to network wave
Require high voltage stabilizing electricity consumption place.High-power compensation type electric power voltage-stabilizer can be started to exchange fire power, waterpower, small generator.
Use the yarn qualities TT&C system based on image recognition of the present invention, for existing spinning and weaving workshop to weaving loom yarn
The detection means of line mass observing and controlling falls behind, cannot provide the technical problem of quality control, introduces high-precision image acquisition and figure
As yarn is accurately identified by identification technology, additionally, it is provided that credit rating control mechanism sets yarn qualities for weaving manufacturer
Grade, simultaneously, it is provided that more fault relevant information, the effective mass for supervision department monitors the reference providing more valuable
Data.
Although it is understood that the present invention discloses as above with preferred embodiment, but above-described embodiment being not used to
Limit the present invention.For any those of ordinary skill in the art, without departing under technical solution of the present invention ambit,
Technical solution of the present invention is made many possible variations and modification by the technology contents that all may utilize the disclosure above, or is revised as
Equivalent embodiments with change.Therefore, every content without departing from technical solution of the present invention, according to the technical spirit pair of the present invention
Any simple modification made for any of the above embodiments, equivalent variations and modification, all still fall within the scope of technical solution of the present invention protection
In.
Claims (1)
1. a yarn qualities TT&C system based on image recognition, described system includes storage device, image capture device, figure
As detection equipment and master controller, described storage device is for storing diameter reference range and the maximum fluctuation difference of yarn, institute
Stating image capture device for shooting the yarn image of spinning machine, described image detecting apparatus is with described image capture device even
Connect, go out the diameter average in the predetermined unit length of yarn and diameter fluctuation difference, described master based on described yarn image recognition
Controller is connected with described storage device respectively with described image detecting apparatus, based on described diameter average and described diameter benchmark
The comparative result of scope and described diameter fluctuation difference and the comparative result of described maximum fluctuation difference, it is determined whether to described
Spinning machine sends fault excision signal；
It is characterized in that, described system also includes:
Power supply potential device, is connected with mains electricity input end, so that line voltage to be converted to the running voltage that described system needs；
Pressure stabilizing device, is connected with described power supply potential device, thinks that described system provides stable running voltage；
User input device, for the operation according to user to arrange the credit rating of yarn, user input device is additionally operable to defeated
Enter pre-thermal signal and enabling signal；
Timing device, provides the timing signal of 20 seconds for described system；
Yarn passes speed measurement equipment, is connected with the driving cylinder of the winding yarn of spinning machine, rotating speed based on described driving cylinder
Calculate longitudinal transmission speed of yarn；
Wireless receiving and dispatching interface, is wirelessly sent to far-end for yarn is crossed thick signal, the meticulous signal of yarn or yarn inequality signal
Spinning and weaving workshop management platform；
Described storage device is connected with described user input device, and described storage device has prestored credit rating fluctuation difference
Synopsis, finds, according in described credit rating fluctuation difference synopsis, the ripple that the credit rating with the yarn received is mated
Moment value is as maximum fluctuation difference, and in described credit rating fluctuation difference synopsis, credit rating is the highest, and fluctuation difference is more
Little, described storage device has also prestored yarn upper limit gray threshold and yarn lower limit gray threshold, described yarn upper limit ash
Degree threshold value and described yarn lower limit gray threshold are for by the yarn in image and background separation, and described storage device is also with described
Master controller connects, and is used for storing described diameter reference range, and described diameter reference range includes the diameter benchmark upper limit and diameter
Benchmark lower limit；
Described image capture device passes speed measurement equipment and is connected with described yarn, based on predetermined unit length and longitudinal transmission speed
Calculate the shooting interval time, based on described shooting interval time captured in real-time yarn image；
Described image detecting apparatus includes that the segmentation of contrast enhancement unit, gray processing processing unit, median filter unit, yarn is single
Unit and quantity statistic unit, described contrast enhancement unit is connected with described image capture device, to hold described yarn image
Row contrast enhancement processing, output strengthens image, and described gray processing processing unit is connected with described contrast enhancement unit, gray scale
Change processes described enhancing image and is connected with described gray processing processing unit with output gray level image, described median filter unit,
Described gray level image is performed medium filtering export filtering image, described yarn cutting unit and described storage device and
Described median filter unit connects respectively, with by gray value in described filtering image at described yarn upper limit gray threshold and described
Pixel identification between yarn lower limit gray threshold also forms yarn subimage, and described quantity statistics unit is split with described yarn
Unit connects, the diameter average measured in described yarn subimage in the predetermined unit length of yarn and diameter fluctuation difference；
Described master controller sets with the detection of described user input device, described storage device, described timing device and described image
Back-up does not connect, and when receiving described pre-thermal signal, enters preheating mode, and when receiving described enabling signal, entrance is opened
Dynamic model formula；
Wherein, in the preheating mode of described master controller, described master controller starts described timing device and starts timing, will be from
The diameter average in multiple predetermined unit length in 20 seconds received at described image detecting apparatus average further with
Obtain accumulative average, described accumulative average is fluctuated 10% using as the described diameter benchmark upper limit and described diameter base
Quasi-lower limit, and the described diameter benchmark upper limit and described diameter benchmark lower limit are stored described storage device；
Wherein, in the preheating mode of described master controller, described master controller performs following operation: when described diameter average surpasses
When going out the described diameter benchmark upper limit, send fault excision signal and yarn cross thick signal, when described diameter average less than described directly
During the benchmark upper limit of footpath, send fault excision signal and the meticulous signal of yarn, when described diameter average is in described diameter reference range
When interior and described diameter fluctuation difference is more than or equal to described maximum fluctuation difference, send fault excision signal and yarn inequality letter
Number, described diameter average in described diameter reference range and described diameter fluctuation difference less than described maximum fluctuation difference time,
Send reliable in quality signal；
Wherein, user input device first inputs pre-thermal signal, inputs enabling signal afterwards.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104964981A (en) * | 2015-06-29 | 2015-10-07 | 广东溢达纺织有限公司 | Textile fabric defect information detection identifier inputting method and system |
| CN104964987A (en) * | 2015-06-29 | 2015-10-07 | 广东溢达纺织有限公司 | Textile fabric defect information voice inputting method and system |
| GB201601213D0 (en) * | 2016-01-22 | 2016-03-09 | Mg Sensors Ltd | Yarn imaging device |
| CN106408557A (en) * | 2016-06-30 | 2017-02-15 | 江汉大学 | Viscose long filament and broken filament detection method based on image processing technology |
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| CN109389583B (en) * | 2018-09-17 | 2020-11-24 | 东华大学 | Intelligent tube yarn quality classification management method and implementation device thereof |
| CN109490303A (en) * | 2018-11-27 | 2019-03-19 | 福建伟易泰智能科技有限公司 | Heald detection and processing method, device and weaving loom |
| CN110246117A (en) * | 2019-04-28 | 2019-09-17 | 烟台南山学院 | A kind of digitizing solution of yarn diameter and yarn unevenness detection |
| CN110220468A (en) * | 2019-06-21 | 2019-09-10 | 广东工业大学 | A kind of spinning equipment, wire vent detection device and yarn examination method out |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS58146841A (en) * | 1982-02-25 | 1983-09-01 | Nippon Seren Kk | Inspecting apparatus of yarn |
| CN1174607A (en) * | 1993-11-10 | 1998-02-25 | 劳森－赫菲尔公司 | System and method for electronically displaying yarn qualities |
| CN2531393Y (en) * | 2002-02-08 | 2003-01-15 | 山东省纺织科学研究院 | Automatic comprehensive testing instrument for yarn |
-
2015
- 2015-01-15 CN CN201510021703.7A patent/CN104515778B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS58146841A (en) * | 1982-02-25 | 1983-09-01 | Nippon Seren Kk | Inspecting apparatus of yarn |
| CN1174607A (en) * | 1993-11-10 | 1998-02-25 | 劳森－赫菲尔公司 | System and method for electronically displaying yarn qualities |
| CN2531393Y (en) * | 2002-02-08 | 2003-01-15 | 山东省纺织科学研究院 | Automatic comprehensive testing instrument for yarn |
Non-Patent Citations (3)
| Title |
|---|
| 基于MATLAB图像处理的织物纱线直径测量;李惠军等;《纺织科技进展》;20121231(第1期);第23-25页 * |
| 基于数宁减氰像处理的纱线条干均匀性检测;迟开龙;《中国优秀硕士学位论文全文数据库信息科技辑》;20130415(第4期);全文 * |
| 基于计算机图像处理技术的纱线质量检测的研究;刘丽杰;《万方学术论文数据库》;20110818;全文 * |
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