CN104515778A - Yarn quality monitoring and control system based on image identification - Google Patents
Yarn quality monitoring and control system based on image identification Download PDFInfo
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Abstract
The invention relates to a yarn quality monitoring and control system based on image identification. The yarn quality monitoring and control system comprises storage equipment, image acquisition equipment, image detection equipment and a main controller, wherein the storage equipment is used for storing the diameter reference range and maximum fluctuation difference value of a yarn; the image acquisition equipment is used for shooting a yarn image of a spinning machine; the image detection equipment is connected with the image acquisition equipment and used for identifying the diameter mean value and diameter fluctuation difference value in the predetermined unit length of the yarn based on the yarn image; the main controller is connected with the image detection equipment and the storage equipment respectively and used for determining whether a defect removal signal is sent to the spinning machine or not based on a comparison result of the diameter mean value and the diameter reference range and a comparison result of the diameter fluctuation difference value and the maximum fluctuation difference value. Through the system, the yarn discharge quality of the spinning machine can be flexibly set and the yarn quality monitoring and control efficiency can be improved.
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 can meet the warming demand of wearing the clothes in people's clothing, food, lodging and transportion--basic necessities of life, along with the raising of expanding economy and people's living standard, also when the river rises the boat goes up to the requirement of weaving finished product for people, not only need warming, and need that pattern is various, dress material reliable in quality is next to the skin, thus, weaving manufacturer in order to obtain one seat in keen competition, have to make great efforts improve weaving finished product quality, wherein, the quality control of yarn be woven into quality control first control operation.
Yarn qualities control device of the prior art, adopt independently photoelectric-type electronic yarn clearer or capacity-type electronic yarn clearer to detect more, then occur that the yarn of fault excises, but such observing and controlling mode underaction, cannot real-time customization weaving manufacturer need different yarn qualities, meanwhile, photoelectric-type electronic yarn clearer or capacity-type electronic yarn clearer are not high due to the testing mechanism precision adopted, and limit the accuracy of detection of yarn.
Therefore, need a kind of spinning machine yarn clearer of control yarn qualities newly, on the one hand, can flexible customization yarn qualities, on the other hand, can abandon original photo-electric or condenser type detection means, adopt the higher detection means of precision to carry out yarn qualities detection, the excision for Yarn Defect provides more valuable reference data.
Summary of the invention
In order to solve the problem, the invention provides a kind of yarn qualities TT&C system based on image recognition, transform existing photo-electric or condenser type TT & C, efficient image acquisition and recognition technology is adopted to carry out defect detection, simultaneously, there is provided user interface to customize yarn qualities grade, and, the concrete condition of current Yarn Defect can be carried out locality and remote prompts in time.
According to an aspect of the present invention, provide a kind of yarn qualities TT&C system based on image recognition, described system comprises memory device, image capture device, image detecting apparatus and master controller, described memory device is for storing diameter reference range and the maximum fluctuation difference of yarn, described image capture device is for taking the figure warp thread picture of spinning machine, described image detecting apparatus is connected with described image capture device, diameter average in the predetermined unit length of yarn and diameter fluctuation difference is identified based on described figure warp thread picture, described master controller is connected with described memory device respectively with described image detecting apparatus, based on described diameter average and the comparative result of described diameter reference range and the comparative result of described diameter fluctuation difference and described maximum fluctuation difference, determine whether to send fault excision signal to described spinning machine.
More specifically, also comprise: power supply potential device, is connected with mains electricity input end based in the yarn qualities TT&C system of image recognition described, line voltage to be converted to the operating voltage that described system needs, pressure stabilizing device, is connected with described power supply potential device, thinks the operating voltage that described system provides stable, user input device, for according to the operation of user to arrange the quality grade of yarn, user input device is also for inputting pre-thermal signal and enabling signal, timing device, for described system provides the timing signal of 20 seconds, yarn passes fast measuring equipment, is connected with the head roll of the winding yarn of spinning machine, and the rotating speed based on described head roll calculates longitudinal transmission speed of yarn, wireless receiving and dispatching interface, sends to the spinning and weaving workshop management platform of far-end for yarn being crossed the uneven signal wireless of thick signal, the meticulous signal of yarn or yarn, described memory device is connected with described user input device, described memory device has prestored the quality grade fluctuation difference table of comparisons, according to finding the fluctuation difference of mating with the quality grade of the yarn received as maximum fluctuation difference in the described quality grade fluctuation difference table of comparisons, in the described quality grade fluctuation difference table of comparisons, quality grade is higher, fluctuation difference is less, described memory device 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 used for the yarn in image and background separation, described memory device is also connected with described master controller, for storing described diameter reference range, described diameter reference range comprises the diameter benchmark upper limit and diameter benchmark lower limit, described image capture device and described yarn pass fast measuring equipment and are connected, and calculate the shooting interval time, based on described shooting interval time captured in real-time figure warp thread picture based on predetermined unit length and longitudinal transmission speed, described image detecting apparatus comprises contrast strengthen unit, gray processing processing unit, median filter unit, yarn cutting unit and quantity statistics unit, described contrast strengthen unit is connected with described image capture device, to perform contrast enhancement processing to described figure warp thread picture, export and strengthen image, described gray processing processing unit is connected with described contrast strengthen unit, image is strengthened with output gray level image described in gray processing process, described median filter unit is connected with described gray processing processing unit, to perform medium filtering with output filtering image to described gray level image, described yarn cutting unit is connected respectively with described memory device and described median filter unit, so that the pixel identification of gray-scale value in described filtering image between described yarn upper limit gray threshold and described yarn lower limit gray threshold is formed yarn subimage, described quantity statistics unit is connected with described yarn cutting unit, measure the diameter average in the predetermined unit length of yarn in described yarn subimage and diameter fluctuation difference, described master controller is connected respectively with described user input device, described memory device, described timing device and described image detecting apparatus, when receiving described pre-thermal signal, enters preheating mode, when receiving described enabling signal, enters start-up mode, wherein, in the preheating mode of described master controller, described master controller starts described timing device and starts timing, diameter average in multiple predetermined unit length in receive from described image detecting apparatus 20 seconds is averaged to obtain accumulative average further, described accumulative average is fluctuated 10% using as the described 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 into described memory device, in the preheating mode of described master controller, described master controller performs following operation: prescribe a time limit when described diameter average exceeds on described diameter benchmark, send fault excision signal and yarn cross thick signal, when described diameter average is prescribed a time limit lower than on described diameter benchmark, send fault excision signal and the meticulous signal of yarn, when described diameter average in described diameter reference range and described diameter fluctuation difference is more than or equal to described maximum fluctuation difference time, send fault excision signal and the uneven signal of yarn, described diameter average in described diameter reference range and described diameter fluctuation difference is less than described maximum fluctuation difference time, send reliable in quality signal, user input device first inputs pre-thermal signal, rear input enabling signal.
More specifically, described based in the yarn qualities TT&C system of image recognition, also comprise: two-way speaker, be connected with described master controller, cross the uneven signal of thick signal, the meticulous signal of described yarn or described yarn voice document corresponding respectively to export with described yarn.
More specifically, described based in the yarn qualities TT&C system of image recognition, described contrast strengthen unit, described gray processing processing unit, described median filter unit, described yarn cutting unit and described quantity statistics unit adopt independently fpga chip to realize respectively.
More specifically, described based in the yarn qualities TT&C system of image recognition, described user input device is keyboard or touch-screen.
More specifically, described based in the yarn qualities TT&C system of image recognition, described contrast strengthen unit, described gray processing processing unit, described median filter unit, described yarn cutting unit and described quantity statistics unit are integrated in one piece of fpga chip.
More specifically, described based in the yarn qualities TT&C system of image recognition, the longitudinal transmission direction of described image capture device perpendicular to yarn is placed.
Accompanying drawing explanation
Below with reference to accompanying drawing, embodiment of the present invention are described, wherein:
Fig. 1 is the block diagram of the yarn qualities TT&C system based on image recognition illustrated according to an embodiment of the present invention.
Embodiment
Below with reference to accompanying drawings the embodiment of the yarn qualities TT&C system based on image recognition of the present invention is described in detail.
As far back as primitive society period, ancients, in order to the change of acclimatization, have understood and have gathered materials on the spot, and utilize natural resources as the raw material of weaving and printing and dyeing, and manufacture simple textile tool.Until today, we daily clothing, some daily necessities and the artwork are all the products of weaving and printing technology.Just in the modern society of economic height prosperity, people be not content with wearing warm hide him these to the basic demand of textile, and increasingly harsh and severe to the quality of textile.
In order to improve the quality of textile, quality monitoring must be carried out to each fabrication phase of textile, especially yarn stage, it is good that yarn stage quality is done, level and class that whole textile manufactures link just can be held from source, if the difference that yarn stage quality is done, the quality of textile just lacks controllability.
Yarn, refers to the product being processed into certain fineness with various textile fibres, for weaving cotton cloth, rope making, line processed, knitting and embroidery etc.
Yarn can be divided into: (1) staple yarn, is formed through spinning processing by staple fibre (atural staple fibre or chemical fibre staple), divides ring spun yarn, open-end-spinning, certainly picks up yarn etc.; (2) continuous filament yarn, as natural silk and chemical-fibres filaments, point twist or not twist, smooth long filament or modified continuous filament etc.; (3) staple fibre and continuous filament yarn combination yarn, such as polyester-cotton blend filament core-spun yarn etc.
The yarn qualities detection means detection mode too backwardness of prior art, numerical control is not high, cannot customize yarn qualities, more cannot provide the reference information relevant to the fault detected.
Yarn qualities TT&C system based on image recognition of the present invention, the gauze quality grade that user interface needs for weaving manufacturer sets itself is provided, simultaneously with more intuitively, more advanced image acquisition and recognition technology perform the defect detection of yarn, the defect type of fault can also be provided, improve accuracy and the controllability of yarn qualities TT&C system.
Fig. 1 is the block diagram of the yarn qualities TT&C system based on image recognition illustrated according to an embodiment of the present invention, described system comprises: image capture device 1, image detecting apparatus 2, master controller 3, memory device 4, pressure stabilizing device 5 and power supply potential device 6, described master controller 3 is connected respectively with described image capture device 1, described image detecting apparatus 2, described memory device 4 and described pressure stabilizing device 5, described image capture device 1 is connected with described image detecting apparatus 2, and described pressure stabilizing device 5 is connected with described power supply potential device 6.
Described memory device 4 is for storing diameter reference range and the maximum fluctuation difference of yarn, described image capture device 1 is for taking the figure warp thread picture of spinning machine, described image detecting apparatus 2 identifies diameter average in the predetermined unit length of yarn and diameter fluctuation difference based on described figure warp thread picture, described master controller 3, based on described diameter average and the comparative result of described diameter reference range and the comparative result of described diameter fluctuation difference and described maximum fluctuation difference, determines whether to send fault excision signal to described spinning machine.
Described yarn qualities TT&C system is mainly used in yarn road, monitoring one road, also by appropriate reconstruction, for monitoring multichannel yarn simultaneously.
Then, continue to be further detailed the concrete structure of the yarn qualities TT&C system based on image recognition of the present invention.
Described power supply potential device 6 is connected with mains electricity input end, line voltage to be converted to the operating voltage that described system needs; Described pressure stabilizing device 5 is connected with described power supply potential device 6, thinks the operating voltage that described system provides stable.
Described yarn qualities TT&C system also comprises: user input device, for according to the operation of user to arrange the quality grade of yarn, user input device is also for inputting pre-thermal signal and enabling signal.
Described yarn qualities TT&C system also comprises: timing device, for described system provides the timing signal of 20 seconds.
Described yarn qualities TT&C system also comprises: yarn passes fast measuring equipment, is connected with the head roll of the winding yarn of spinning machine, and the rotating speed based on described head roll calculates longitudinal transmission speed of yarn.
Described yarn qualities TT&C system also comprises: wireless receiving and dispatching interface, sends to the spinning and weaving workshop management platform of far-end for yarn being crossed the uneven signal wireless of thick signal, the meticulous signal of yarn or yarn.
Described memory device 4 is connected with described user input device, described memory device 4 has prestored the quality grade fluctuation difference table of comparisons, according to finding the fluctuation difference of mating with the quality grade of the yarn received as maximum fluctuation difference in the described quality grade fluctuation difference table of comparisons, in the described quality grade fluctuation difference table of comparisons, quality grade is higher, and fluctuation difference is less.
Described memory 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 used for the yarn in image and background separation, described memory device 4 is also connected with described master controller 3, for storing described diameter reference range, described diameter reference range comprises the diameter benchmark upper limit and diameter benchmark lower limit.
Described image capture device 1 and described yarn pass fast measuring equipment and are connected, and calculate the shooting interval time, based on described shooting interval time captured in real-time figure warp thread picture based on predetermined unit length and longitudinal transmission speed.Described image capture device 1 can adopt high-definition camera.
Described image detecting apparatus 2 comprises contrast strengthen unit, gray processing processing unit, median filter unit, yarn cutting unit and quantity statistics unit, described contrast strengthen unit is connected with described image capture device 1, to perform contrast enhancement processing to described figure warp thread picture, export and strengthen image, described gray processing processing unit is connected with described contrast strengthen unit, image is strengthened with output gray level image described in gray processing process, described median filter unit is connected with described gray processing processing unit, to perform medium filtering with output filtering image to described gray level image.
Described yarn cutting unit is connected respectively with described memory device 4 and described median filter unit, so that the pixel identification of gray-scale value in described filtering image between described yarn upper limit gray threshold and described yarn lower limit gray threshold is formed yarn subimage, described quantity statistics unit is connected with described yarn cutting unit, measures the diameter average in the predetermined unit length of yarn in described yarn subimage and diameter fluctuation difference.
Described master controller 3 is connected respectively with described user input device, described memory device 4, described timing device and described image detecting apparatus 2, when receiving described pre-thermal signal, entering preheating mode, when receiving described enabling signal, entering start-up mode.
Wherein, in the preheating mode of described master controller 3, described master controller 3 starts described timing device and starts timing, diameter average in multiple predetermined unit length in 20 seconds that receive from described image detecting apparatus 2 is averaged to obtain accumulative average further, described accumulative average is fluctuated 10% using as the described 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 into described memory device.
In the preheating mode of described master controller 3, described master controller 3 performs following operation: prescribe a time limit when described diameter average exceeds on described diameter benchmark, send fault excision signal and yarn cross thick signal, when described diameter average is prescribed a time limit lower than on described diameter benchmark, send fault excision signal and the meticulous signal of yarn, when described diameter average in described diameter reference range and described diameter fluctuation difference is more than or equal to described maximum fluctuation difference time, send fault excision signal and the uneven signal of yarn, described diameter average in described diameter reference range and described diameter fluctuation difference is less than described maximum fluctuation difference time, send reliable in quality signal, user input device first inputs pre-thermal signal, rear input enabling signal.
Wherein, described yarn qualities TT&C system can also comprise two-way speaker, is connected with described master controller 3, crosses the uneven signal of thick signal, the meticulous signal of described yarn or described yarn voice document corresponding respectively to export with described yarn; Described contrast strengthen unit, described gray processing processing unit, described median filter unit, described yarn cutting unit and described quantity statistics unit can adopt independently fpga chip to realize respectively, also can described contrast strengthen unit, described gray processing processing unit, described median filter unit, described yarn cutting unit and described quantity statistics unit be integrated in one piece of fpga chip, described user input device can select keyboard or touch-screen, and also the longitudinal transmission direction of described image capture device 1 perpendicular to yarn can be placed.
In addition, the function of power transformer is power transmission, voltage transformation and insulation isolation, as a kind of main soft magnetism electromagnetic component, is widely used in power technology He in Power Electronic Technique.
According to the size of delivering power, power transformer can be divided into several grades: more than 10kVA for high-power, and 10kVA ~ 0.5kVA is middle power, and 0.5kVA ~ 25VA is miniwatt, and below 25VA is micropower.Delivering power is different, and the design of power transformer is also different, should be self-evident.Someone is power transmission according to its major function, and English name " Power Transformers " is translated into " power transformer ", still in use in many documents and materials.Almost in all electronic products, all will use power transformer, the technique for coiling according to different use occasion (different purposes) transformers has difference requirement.The function of transformer mainly contains: voltage transformation; Impedance transformation; Isolation; Voltage stabilizings (magnetic saturation transformer) etc., the core configuration that transformer is conventional generally has E type and C shaped iron core.
In addition, voltage stabilizer is the equipment making output voltage stabilization.The compositions such as voltage stabilizer regulating circuit, control circuit and servomotor.When input voltage or load change, control circuit carries out sampling, compares, amplifies, then drives servomotor to rotate, the position of pressure regulator carbon brush is changed, by automatically adjusting coil ratio, thus the stablizing of maintenance output voltage.
Voltage stabilizer can be widely used in: the robot calculator of the departments such as industrial and mining enterprises, oil field, railway, building ground, school, hospital, post and telecommunications, hotel, scientific research, precision machine tool, computed tomography (CT), exact instrument, test unit, elevator lighting, import equipment and production line etc. need the place of power good voltage.Also be adapted to the user of the low-voltage network end that supply voltage is too low or too high, fluctuating range is large and the large consumer of load change, be specially adapted to the voltage stabilizing electricity consumption place that all are high to network wave requirement.High-power compensation type electric power voltage-stabilizer can be started to exchange fire power, waterpower, small generator.
Adopt the yarn qualities TT&C system based on image recognition of the present invention, for existing spinning and weaving workshop, the detection means of weaving loom yarn qualities observing and controlling is fallen behind, cannot be provided the technical matters of quality control, introduce high-precision image acquisition and image recognition technology accurately identifies yarn, in addition, there is provided quality grade controlling mechanism for weaving factory settings yarn qualities grade, simultaneously, provide more fault relevant information, for the effective mass monitoring of supervision department provides more valuable reference data.
Be understandable that, although the present invention with preferred embodiment disclose as above, but above-described embodiment and be not used to limit the present invention.For any those of ordinary skill in the art, do not departing under technical solution of the present invention ambit, the technology contents of above-mentioned announcement all can be utilized to make many possible variations and modification to technical solution of the present invention, or be revised as the Equivalent embodiments of equivalent variations.Therefore, every content not departing from technical solution of the present invention, according to technical spirit of the present invention to any simple modification made for any of the above embodiments, equivalent variations and modification, all still belongs in the scope of technical solution of the present invention protection.
Claims (7)
1. the yarn qualities TT&C system based on image recognition, it is characterized in that, described system comprises memory device, image capture device, image detecting apparatus and master controller, described memory device is for storing diameter reference range and the maximum fluctuation difference of yarn, described image capture device is for taking the figure warp thread picture of spinning machine, described image detecting apparatus is connected with described image capture device, diameter average in the predetermined unit length of yarn and diameter fluctuation difference is identified based on described figure warp thread picture, described master controller is connected with described memory device respectively with described image detecting apparatus, based on described diameter average and the comparative result of described diameter reference range and the comparative result of described diameter fluctuation difference and described maximum fluctuation difference, determine whether to send fault excision signal to described spinning machine.
2., as claimed in claim 1 based on the yarn qualities TT&C system of image recognition, it is characterized in that, described system also comprises:
Power supply potential device, is connected with mains electricity input end, line voltage to be converted to the operating voltage that described system needs;
Pressure stabilizing device, is connected with described power supply potential device, thinks the operating voltage that described system provides stable;
User input device, for according to the operation of user to arrange the quality grade of yarn, user input device is also for inputting pre-thermal signal and enabling signal;
Timing device, for described system provides the timing signal of 20 seconds;
Yarn passes fast measuring equipment, is connected with the head roll of the winding yarn of spinning machine, and the rotating speed based on described head roll calculates longitudinal transmission speed of yarn;
Wireless receiving and dispatching interface, sends to the spinning and weaving workshop management platform of far-end for yarn being crossed the uneven signal wireless of thick signal, the meticulous signal of yarn or yarn;
Described memory device is connected with described user input device, described memory device has prestored the quality grade fluctuation difference table of comparisons, according to finding the fluctuation difference of mating with the quality grade of the yarn received as maximum fluctuation difference in the described quality grade fluctuation difference table of comparisons, in the described quality grade fluctuation difference table of comparisons, quality grade is higher, fluctuation difference is less, described memory device 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 used for the yarn in image and background separation, described memory device is also connected with described master controller, for storing described diameter reference range, described diameter reference range comprises the diameter benchmark upper limit and diameter benchmark lower limit,
Described image capture device and described yarn pass fast measuring equipment and are connected, and calculate the shooting interval time, based on described shooting interval time captured in real-time figure warp thread picture based on predetermined unit length and longitudinal transmission speed;
Described image detecting apparatus comprises contrast strengthen unit, gray processing processing unit, median filter unit, yarn cutting unit and quantity statistics unit, described contrast strengthen unit is connected with described image capture device, to perform contrast enhancement processing to described figure warp thread picture, export and strengthen image, described gray processing processing unit is connected with described contrast strengthen unit, image is strengthened with output gray level image described in gray processing process, described median filter unit is connected with described gray processing processing unit, to perform medium filtering with output filtering image to described gray level image, described yarn cutting unit is connected respectively with described memory device and described median filter unit, so that the pixel identification of gray-scale value in described filtering image between described yarn upper limit gray threshold and described yarn lower limit gray threshold is formed yarn subimage, described quantity statistics unit is connected with described yarn cutting unit, measure the diameter average in the predetermined unit length of yarn in described yarn subimage and diameter fluctuation difference,
Described master controller is connected respectively with described user input device, described memory device, described timing device and described image detecting apparatus, when receiving described pre-thermal signal, enters preheating mode, when receiving described enabling signal, enters start-up mode;
Wherein, in the preheating mode of described master controller, described master controller starts described timing device and starts timing, diameter average in multiple predetermined unit length in receive from described image detecting apparatus 20 seconds is averaged to obtain accumulative average further, described accumulative average is fluctuated 10% using as the described 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 into described memory device;
Wherein, in the preheating mode of described master controller, described master controller performs following operation: prescribe a time limit when described diameter average exceeds on described diameter benchmark, send fault excision signal and yarn cross thick signal, when described diameter average is prescribed a time limit lower than on described diameter benchmark, send fault excision signal and the meticulous signal of yarn, when described diameter average in described diameter reference range and described diameter fluctuation difference is more than or equal to described maximum fluctuation difference time, send fault excision signal and the uneven signal of yarn, described diameter average in described diameter reference range and described diameter fluctuation difference is less than described maximum fluctuation difference time, send reliable in quality signal,
Wherein, user input device first inputs pre-thermal signal, rear input enabling signal.
3., as claimed in claim 2 based on the yarn qualities TT&C system of image recognition, it is characterized in that, described system also comprises:
Two-way speaker, is connected with described master controller, crosses the uneven signal of thick signal, the meticulous signal of described yarn or described yarn voice document corresponding respectively to export with described yarn.
4., as claimed in claim 2 based on the yarn qualities TT&C system of image recognition, it is characterized in that:
Described contrast strengthen unit, described gray processing processing unit, described median filter unit, described yarn cutting unit and described quantity statistics unit adopt independently fpga chip to realize respectively.
5., as claimed in claim 2 based on the yarn qualities TT&C system of image recognition, it is characterized in that:
Described user input device is keyboard or touch-screen.
6., as claimed in claim 2 based on the yarn qualities TT&C system of image recognition, it is characterized in that:
Described contrast strengthen unit, described gray processing processing unit, described median filter unit, described yarn cutting unit and described quantity statistics unit are integrated in one piece of fpga chip.
7., as claimed in claim 2 based on the yarn qualities TT&C system of image recognition, it is characterized in that:
The longitudinal transmission direction of described image capture device perpendicular to yarn is placed.
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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 |
| 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 |
| CN107192712A (en) * | 2017-05-22 | 2017-09-22 | 绍兴众舟科技有限公司 | A kind of yarn twist measuring method and yarn twist measuring system |
| CN107796818A (en) * | 2018-01-23 | 2018-03-13 | 湖南泰嘉新材料科技股份有限公司 | The method of on-line checking bi-metal bandsaw blades welding quality |
| CN108474751A (en) * | 2016-01-22 | 2018-08-31 | Mg传感器有限公司 | Yarn imaging device |
| CN109389583A (en) * | 2018-09-17 | 2019-02-26 | 东华大学 | A kind of coil quality intelligent sort management method and its realization device |
| 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 |
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| 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 |
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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 |
| CN108474751A (en) * | 2016-01-22 | 2018-08-31 | Mg传感器有限公司 | 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 |
| CN107192712A (en) * | 2017-05-22 | 2017-09-22 | 绍兴众舟科技有限公司 | A kind of yarn twist measuring method and yarn twist measuring system |
| CN107796818A (en) * | 2018-01-23 | 2018-03-13 | 湖南泰嘉新材料科技股份有限公司 | The method of on-line checking bi-metal bandsaw blades welding quality |
| CN109389583A (en) * | 2018-09-17 | 2019-02-26 | 东华大学 | A kind of coil quality intelligent sort management method and its realization device |
| 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 |
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