CN104562331A - Double-mode yarn quality detecting control method - Google Patents
Double-mode yarn quality detecting control method Download PDFInfo
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- CN104562331A CN104562331A CN201510013062.0A CN201510013062A CN104562331A CN 104562331 A CN104562331 A CN 104562331A CN 201510013062 A CN201510013062 A CN 201510013062A CN 104562331 A CN104562331 A CN 104562331A
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- D—TEXTILES; PAPER
- D01—NATURAL OR MAN-MADE THREADS OR FIBRES; SPINNING
- D01H—SPINNING OR TWISTING
- D01H13/00—Other common constructional features, details or accessories
- D01H13/14—Warning or safety devices, e.g. automatic fault detectors, stop motions ; Monitoring the entanglement of slivers in drafting arrangements
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/89—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles
- G01N21/8914—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles characterised by the material examined
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N27/00—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
- G01N27/02—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance
- G01N27/22—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance by investigating capacitance
- G01N27/24—Investigating the presence of flaws
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Abstract
The invention relates to a double-mode yarn quality detecting control method. The double-mode yarn quality detecting control method comprises the following steps: 1) providing a double-mode yarn quality detecting control system which comprises an embedded processor, a capacitance mode detecting device, an image mode detecting device and a cutter drive circuit, wherein the capacitance mode detecting device and the image mode detecting device are used for synchronously detecting quantity of defect points, within predetermined unit length, of a yarn of the spinning machine, and respectively outputting the quantity defect points as first defect point quantity and second defect point quantity, the cutter drive circuit is used for calculating the yarns which pass through the predetermined unit length based on an current position for cutting off the signal drive cutter, the embedded processor, the capacitance mode detecting equipment, the image mode detecting equipment and the cutter drive circuit are respectively connected for determining whether to send the cut-off signal to the cutter drive circuit based on the first defect point quantity and second defect point quantity; and 2) performing detection control through the system.
Description
Technical field
The present invention relates to yarn quality inspection field, particularly relate to a kind of double mode yarn qualities detection control method.
Background technology
Weaving original meaning takes from spinning and the general name of weaving cotton cloth, but along with weaving knowledge hierarchy and the development of subject system and perfect, particularly non-woven textile material and three-dimensional is composite braided etc. after technology produces, weaving is not only traditional spinning and weaves cotton cloth, also nonwoven fabric technology is comprised, three dimensional weaving technique, electrostatic nanometer net-forming technology etc., so modern textile refers to the Multi-scale model process technology of a kind of fiber or fiber assembly.
Weaving finished product and textile are one of important necessitys required for mankind's daily life, and in order to ensure that textile can follow the growing life requirement of upper people, the source of textile and the quality control of yarn must reach and be close to harsh stage.In prior art, general employing photoelectric-type electronic yarn clearer or capacity-type electronic yarn clearer carry out the detection detecting Yarn Defect, determining whether excise one section of yarn according to the fault quantity detected, there is the problem that detection means is single, be subject to extraneous factor interference and shortage equipment alarm mechanism in this detecting pattern.
Therefore, in order to improve yarn qualities detection technique, need a kind of double mode yarn qualities detection control method, multiple detection means can be provided for the reference of yarn excision mechanism, yarn is avoided to excise the maloperation of mechanism, simultaneously checkout equipment run there is deviation time can and alarm, thus realize the technique effect controlling quality of textile products on source.
Summary of the invention
In order to solve the problem, the invention provides a kind of double mode yarn qualities detection control method, transform existing monotype yarn qualities testing mechanism, image recognition technology and condenser type detection technique is adopted synchronously to carry out defect detection, the detection data of draw reasonable two kinds of detection meanss are to improve the reliability of fault excision, and, can also two kinds of detection meanss detection data difference larger time and alarm.
According to an aspect of the present invention, provide a kind of double mode yarn qualities detection control method, the method comprises: 1) provide a kind of double mode yarn qualities detecting and controlling system, described system comprises flush bonding processor, capacitive checkout equipment, image model checkout equipment and cutter driving circuit, described capacitive checkout equipment and described image model checkout equipment are used for the fault quantity in the predetermined unit length of the yarn of real-time synchronization detection spinning machine, and export respectively as the first fault quantity and the second fault quantity, described cutter driving circuit drives cutting knife excision to calculate from current location based on excision signal, the yarn of the predetermined unit length passed through, described flush bonding processor and described capacitive checkout equipment, described image model checkout equipment is connected respectively with described cutter driving circuit, determine whether to send described excision signal to described cutter driving circuit based on described first fault quantity and described second fault quantity, 2) use described system to carry out detection control.
More specifically, in described double mode yarn qualities detecting and controlling system, also comprise: usb communication interface, for inserting outside USB flash disk, receive the built-in predetermined unit length of described outside USB flash disk, yarn diameter max-thresholds, yarn diameter minimum threshold, maximum difference threshold value, fault transformation, 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, static memory, be connected with described usb communication interface, for receiving and storing described predetermined unit length, described yarn diameter max-thresholds, described yarn diameter minimum threshold, described maximum difference threshold value, described fault transformation, described yarn upper limit gray threshold and described yarn lower limit gray threshold, yarn passes fast detector, is connected with the head roll of winding yarn, and the rotating speed based on described head roll calculates longitudinal transmission speed of yarn, ZigBee communication equipment, for setting up two-way wireless communication link with the weaving department management platform of far-end, described capacitive checkout equipment comprises high frequency oscillator, for sending high frequency constant amplitude ripple, described capacitive checkout equipment also comprises capacitive transducer, comprise two metal polar plates in yarn both sides staggered relatively, capacitive transducer is connected with described high frequency oscillator, with the electric capacity based on capacitive transducer, described high frequency constant amplitude ripple is modulated into the modulated wave changed with yarn diameter, the diameter of the yarn wherein between described two metal polar plates is larger, described electric capacity is larger, and the amplitude of described modulated wave is larger, described capacitive checkout equipment also comprises signaling conversion circuit, be connected with described capacitive transducer, described modulated wave is converted to electric impulse signal, amplitude based on described electric impulse signal calculates and exports yarn diameter, the amplitude of wherein said modulated wave is larger, and the amplitude of described electric impulse signal is larger, described capacitive checkout equipment also comprises microprocessor, pass fast detector, described static memory and described signaling conversion circuit with described yarn to be connected respectively, yarn detection time is calculated based on described predetermined unit length and described longitudinal transmission speed, the signaling conversion circuit calculated within described yarn detection time more than described yarn diameter max-thresholds or below described yarn diameter minimum threshold exports the occurrence number of yarn diameter, to export as described first fault quantity, described image model checkout equipment comprises picture pick-up device, fast checkout equipment is passed and described static memory is connected respectively with described yarn, the shooting interval time is calculated, based on the figure warp thread picture of described shooting interval time captured in real-time spinning machine based on described predetermined unit length and described longitudinal transmission speed, described image model checkout equipment also comprises image recognition apparatus, comprise image pre-processing unit, yarn cutting unit and fault quantity statistics unit, described image pre-processing unit is connected with described picture pick-up device, successively contrast strengthen is performed in order to described figure warp thread picture, gray processing and wavelet filtering process, with the image after output filtering, described yarn cutting unit is connected respectively with described static memory and described image pre-processing unit, so that the pixel identification of gray-scale value in described filtered image between described yarn upper limit gray threshold and described yarn lower limit gray threshold is formed yarn subimage, described fault quantity statistics unit is connected with described yarn cutting unit, measure the occurrence number of the yarn diameter in described yarn subimage more than described yarn diameter max-thresholds or below described yarn diameter minimum threshold, to export as described second fault quantity, described flush bonding processor and described static memory, described microprocessor is connected respectively with described fault quantity statistics unit, when difference between described first fault quantity and described second fault quantity is more than or equal to described maximum difference threshold value, send defect detection fault pre-alarming signal, when difference between described first fault quantity and described second fault quantity exceedes 50% of described maximum difference threshold value, send defect detection failure alarm signal, when difference between described first fault quantity and described second fault quantity is less than described maximum difference threshold value, calculate the mean value of described first fault quantity and described second fault quantity, when described mean value is more than or equal to described fault transformation, send described excision signal, when described mean value is less than described fault transformation, send described reliable in quality signal, display device, be connected with described flush bonding processor, to show the display word corresponding with described first fault quantity and described second fault quantity difference in real time, also for showing the display word corresponding respectively with described defect detection fault pre-alarming signal, described defect detection failure alarm signal, described excision signal or described reliable in quality signal, wherein, the described microprocessor signaling conversion circuit calculated within described yarn detection time more than described yarn diameter max-thresholds or below described yarn diameter minimum threshold exports the occurrence number of yarn diameter, during to export as described first fault quantity, be that signaling conversion circuit more than described yarn diameter max-thresholds or below described yarn diameter minimum threshold exports yarn diameter and only once counts as occurrence number using appearing between twice yarn diameter reference value, numerical value, described image recognition apparatus measures the occurrence number of the yarn diameter in described yarn subimage more than described yarn diameter max-thresholds or below described yarn diameter minimum threshold, during to export as described second fault quantity, be that yarn diameter more than described yarn diameter max-thresholds or below described yarn diameter minimum threshold only once counts as occurrence number using appearing between twice yarn diameter reference value, numerical value, described ZigBee communication equipment is connected with described flush bonding processor, so that described defect detection fault pre-alarming signal, described defect detection failure alarm signal, described excision signal or described reliable in quality signal wireless are sent to described weaving department management platform.
More specifically, in described double mode yarn qualities detecting and controlling system, described flush bonding processor is ARM11 processor.
More specifically, in described double mode yarn qualities detecting and controlling system, described image pre-processing unit, described yarn cutting unit and described fault quantity statistics unit adopt independently fpga chip to realize respectively.
More specifically, in described double mode yarn qualities detecting and controlling system, prestored described yarn diameter reference value in described static memory, described yarn diameter reference value is a reference value scope with higher limit lower limit.
More specifically, in described double mode yarn qualities detecting and controlling system, described flush bonding processor determines whether substitute the repertoire implementing described image recognition apparatus according to the operation resources occupation rate of itself.
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 double mode yarn qualities detecting and controlling system illustrated according to an embodiment of the present invention.
Embodiment
Below with reference to accompanying drawings the embodiment of double mode yarn qualities detecting and controlling system of the present invention is described in detail.
Weaving is a kind of manual industry of serving mankind's dress, spins cotton and weave cloth, and makes clothes, and decorations of hiding shame are beautiful, resisting cold wind sheltering, insect protected watch box, is the important motivation of weaving origin development.That weaves is with a long history, and according to archaeological materials, china textile production custom, is shown in rudiment about Upper Palaeolithic greatly, has learned to utilize spicule to make reed, leather clothes apart from Beijing Upper Cave Man of modern about about 20,000 years.Though this original sewing art is not strict weaving, can be described as setting something afoot of original weaving.And the birth of real textile technology and custom is popular in Neolithic culture period.
Yarn is the important raw and processed materials of weaving, and the quality of its quality directly determines the quality of end product.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 by more than two strands or two strands single thread and close twist and form.The fineness of yarn has multiple method for expressing, such as number number, metric count, English count, danier etc. (see number).The general yarn diameter size by detecting lengthwise movement from the top down in weaving loom, determines whether there is fault, and determines whether further to excise immediately.
The yarn qualities detecting and controlling system of prior art uses monotype to detect, often because monotype mechanism unsurmountable problem inherently, cause yarn qualities to be affected, and further impact quality of textile products afterwards, the service of high-quality cannot be provided for people.
Double mode yarn qualities detecting and controlling system of the present invention, is monitored yarn qualities by condenser type detecting pattern and image recognition detecting pattern simultaneously, can for the operation of checkout equipment provides warning monitoring mechanism while accurately removing Yarn Defect.
Fig. 1 is the block diagram of the double mode yarn qualities detecting and controlling system illustrated according to an embodiment of the present invention, described system comprises: flush bonding processor 1, capacitive checkout equipment 2, image model checkout equipment 3, cutter driving circuit 4, yarn passes fast detector 5, usb communication interface 6, static memory 7, ZigBee communication equipment 8 and display device 9, flush bonding processor 1 and capacitive checkout equipment 2, image model checkout equipment 3, cutter driving circuit 4, yarn passes fast detector 5, usb communication interface 6, static memory 7, ZigBee communication equipment 8 is connected respectively with display device 9, usb communication interface 6 is connected with static memory 7.
Described capacitive checkout equipment 2 and described image model checkout equipment 3 detect the fault quantity in the predetermined unit length of the yarn of spinning machine for real-time synchronization, and export respectively as the first fault quantity and the second fault quantity, described cutter driving circuit 4 drives cutting knife excision to calculate from current location based on excision signal, the yarn of the predetermined unit length passed through, described flush bonding processor 1 determines whether to send described excision signal to described cutter driving circuit 4 based on described first fault quantity and described second fault quantity, described system can monitor a road yarn, also can monitor multichannel yarn simultaneously.
Then, continue to be further detailed the concrete structure of double mode yarn qualities detecting and controlling system of the present invention.
Described usb communication interface 6, for inserting outside USB flash disk, receive the built-in predetermined unit length of described outside USB flash disk, yarn diameter max-thresholds, yarn diameter minimum threshold, maximum difference threshold value, fault transformation, 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 static memory 7 is connected with described usb communication interface 6, for receiving and storing described predetermined unit length, described yarn diameter max-thresholds, described yarn diameter minimum threshold, described maximum difference threshold value, described fault transformation, described yarn upper limit gray threshold and described yarn lower limit gray threshold; Yarn passes fast detector, is connected with the head roll of winding yarn, and the rotating speed based on described head roll calculates longitudinal transmission speed of yarn.
Described ZigBee communication equipment 8, for setting up two-way wireless communication link with the weaving department management platform of far-end.
Described capacitive checkout equipment 2 comprises high frequency oscillator, for sending high frequency constant amplitude ripple; Described capacitive checkout equipment 2 also comprises capacitive transducer, comprise two metal polar plates in yarn both sides staggered relatively, capacitive transducer is connected with described high frequency oscillator, with the electric capacity based on capacitive transducer, described high frequency constant amplitude ripple is modulated into the modulated wave changed with yarn diameter, the diameter of the yarn wherein between described two metal polar plates is larger, described electric capacity is larger, and the amplitude of described modulated wave is larger; Described capacitive checkout equipment 2 also comprises signaling conversion circuit, be connected with described capacitive transducer, described modulated wave is converted to electric impulse signal, amplitude based on described electric impulse signal calculates and exports yarn diameter, the amplitude of wherein said modulated wave is larger, and the amplitude of described electric impulse signal is larger; Described capacitive checkout equipment 2 also comprises microprocessor, pass fast detector 5, described static memory 7 and described signaling conversion circuit with described yarn to be connected respectively, yarn detection time is calculated based on described predetermined unit length and described longitudinal transmission speed, the signaling conversion circuit calculated within described yarn detection time more than described yarn diameter max-thresholds or below described yarn diameter minimum threshold exports the occurrence number of yarn diameter, to export as described first fault quantity.
Described image model checkout equipment 3 comprises picture pick-up device, fast checkout equipment 5 is passed and described static memory 7 is connected respectively with described yarn, the shooting interval time is calculated, based on the figure warp thread picture of described shooting interval time captured in real-time spinning machine based on described predetermined unit length and described longitudinal transmission speed.
Described image model checkout equipment 3 also comprises image recognition apparatus, image recognition apparatus comprises image pre-processing unit, yarn cutting unit and fault quantity statistics unit, described image pre-processing unit is connected with described picture pick-up device, successively contrast strengthen is performed in order to described figure warp thread picture, gray processing and wavelet filtering process, with the image after output filtering, described yarn cutting unit is connected respectively with described static memory 7 and described image pre-processing unit, so that the pixel identification of gray-scale value in described filtered image between described yarn upper limit gray threshold and described yarn lower limit gray threshold is formed yarn subimage, described fault quantity statistics unit is connected with described yarn cutting unit, measure the occurrence number of the yarn diameter in described yarn subimage more than described yarn diameter max-thresholds or below described yarn diameter minimum threshold, to export as described second fault quantity.
Described flush bonding processor 1 and described static memory 7, described microprocessor is connected respectively with described fault quantity statistics unit, when difference between described first fault quantity and described second fault quantity is more than or equal to described maximum difference threshold value, send defect detection fault pre-alarming signal, when difference between described first fault quantity and described second fault quantity exceedes 50% of described maximum difference threshold value, send defect detection failure alarm signal, when difference between described first fault quantity and described second fault quantity is less than described maximum difference threshold value, calculate the mean value of described first fault quantity and described second fault quantity, when described mean value is more than or equal to described fault transformation, send described excision signal, when described mean value is less than described fault transformation, send described reliable in quality signal.
Described display device 9 is connected with described flush bonding processor 1, to show the display word corresponding with described first fault quantity and described second fault quantity difference in real time, also for showing the display word corresponding respectively with described defect detection fault pre-alarming signal, described defect detection failure alarm signal, described excision signal or described reliable in quality signal.
Wherein, the described microprocessor signaling conversion circuit calculated within described yarn detection time more than described yarn diameter max-thresholds or below described yarn diameter minimum threshold exports the occurrence number of yarn diameter, during to export as described first fault quantity, be that signaling conversion circuit more than described yarn diameter max-thresholds or below described yarn diameter minimum threshold exports yarn diameter and only once counts as occurrence number using appearing between twice yarn diameter reference value, numerical value; Described image recognition apparatus measures the occurrence number of the yarn diameter in described yarn subimage more than described yarn diameter max-thresholds or below described yarn diameter minimum threshold, during to export as described second fault quantity, be that yarn diameter more than described yarn diameter max-thresholds or below described yarn diameter minimum threshold only once counts as occurrence number using appearing between twice yarn diameter reference value, numerical value; Described ZigBee communication equipment 8 is connected with described flush bonding processor 1, so that described defect detection fault pre-alarming signal, described defect detection failure alarm signal, described excision signal or described reliable in quality signal wireless are sent to described weaving department management platform.
Wherein, in the system, described flush bonding processor 1 is chosen as ARM11 processor, described image pre-processing unit, described yarn cutting unit and described fault quantity statistics unit can adopt independently fpga chip to realize respectively, described yarn diameter reference value has been prestored in described static memory 7, described yarn diameter reference value is a reference value scope with higher limit lower limit, and described flush bonding processor 1 can also determine whether substitute the repertoire implementing described image recognition apparatus according to the operation resources occupation rate of itself.
In addition, 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 proterties of fiber and the performance of Yarn spinning method to yarn play a decisive role.Ring spun yarn, in twist process, because fiber produces transfer, from yarn internal layer to skin, then from skin to internal layer, repeatedly shifts repeatedly, fiber around yarn axle center in the shape of a spiral, the radius of spin alternately increases vertically or reduces.At this moment the fiber that length is long more tends to the axle center of yarn, and the short fiber of length more tends to the skin of yarn.The axle center of the fiber trend yarn that fineness is thin, the skin of the fiber trend yarn that fineness is thick.The fiber that initial modulus is less is more positioned at skin, and the fiber that initial modulus is large is more positioned at internal layer.
Yarn comprises various features parameter, such as volume density, the coefficient of variation, fiber intermolecular forces, plying radical and line density (diameter) etc.Wherein, diameter is one of important parameter, diameter excessive or too small time, represent to there is fault, the spinning and weaving workshop that quality requirements is stricter, the number of times that in unit length, fault quantitative requirement occurs is fewer, if exceed the restriction of oneself predetermined number of times, yarn clearer will be used to excise.
In addition, flush bonding processor is the core of embedded system, is the hardware cell of control, backup system operation.Scope is extremely wide, from 4 initial bit processors, at present still at 8 single-chip microcomputers of large-scale application, to up-to-date 32 that are subject to extensively favor, and 64 embedded type CPUs.
Embedded microprocessor is similar to the microprocessor Design of common desktop computer in ultimate principle, but job stability is higher, power consumption is less, adaptable to environment (as temperature, humidity, electromagnetic field, vibration etc.), volume is less, and integrated function is more.In desktop computer field, leading indicator when comparing processor is exactly computing velocity, Pentium 4 processor from 386 computing machines of 33MHz dominant frequency to 3GHz dominant frequency, and the lifting of speed is the change of the main care of user, but in built-in field, situation is then completely different.
The selection of flush bonding processor according to the demand of design, must be compromised among performance, power consumption, function, size and packing forms, SoC degree, cost, business consideration etc. factors, optimum selecting.Flush bonding processor is as the core of embedded system, and flush bonding processor is responsible for the vital task of control, system works, makes host equipment functional intellectualization, flexible design and easy and simple to handle.For rationally completing these tasks efficiently, in general, flush bonding processor has following characteristics: very strong real-time multi-task tenability, memory block defencive function, extendible microprocessor architecture, stronger interrupt handling capacity, low-power consumption.
Adopt double mode yarn qualities detecting and controlling system of the present invention, for existing monotype yarn qualities detecting and controlling system Detection job exist intrinsic mechanism error and cannot to the technical matters of the condition alarm of checkout equipment, for each road yarn or multichannel yarn arrange a set of quality testing control system, Appropriate application two overlaps the testing result of testing mechanism, for the excision of switching mechanism and the warning of panalarm provide 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 (6)
1. a double mode yarn qualities detection control method, the method comprises:
1) a kind of double mode yarn qualities detecting and controlling system is provided, described system comprises flush bonding processor, capacitive checkout equipment, image model checkout equipment and cutter driving circuit, described capacitive checkout equipment and described image model checkout equipment are used for the fault quantity in the predetermined unit length of the yarn of real-time synchronization detection spinning machine, and export respectively as the first fault quantity and the second fault quantity, described cutter driving circuit drives cutting knife excision to calculate from current location based on excision signal, the yarn of the predetermined unit length passed through, described flush bonding processor and described capacitive checkout equipment, described image model checkout equipment is connected respectively with described cutter driving circuit, determine whether to send described excision signal to described cutter driving circuit based on described first fault quantity and described second fault quantity,
2) use described system to carry out detection control.
2. the method for claim 1, is characterized in that, described system also comprises:
Usb communication interface, for inserting outside USB flash disk, receive the built-in predetermined unit length of described outside USB flash disk, yarn diameter max-thresholds, yarn diameter minimum threshold, maximum difference threshold value, fault transformation, 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;
Static memory, be connected with described usb communication interface, for receiving and storing described predetermined unit length, described yarn diameter max-thresholds, described yarn diameter minimum threshold, described maximum difference threshold value, described fault transformation, described yarn upper limit gray threshold and described yarn lower limit gray threshold;
Yarn passes fast detector, is connected with the head roll of winding yarn, and the rotating speed based on described head roll calculates longitudinal transmission speed of yarn;
ZigBee communication equipment, for setting up two-way wireless communication link with the weaving department management platform of far-end;
Described capacitive checkout equipment comprises
High frequency oscillator, for sending high frequency constant amplitude ripple;
Capacitive transducer, comprise two metal polar plates in yarn both sides staggered relatively, capacitive transducer is connected with described high frequency oscillator, with the electric capacity based on capacitive transducer, described high frequency constant amplitude ripple is modulated into the modulated wave changed with yarn diameter, the diameter of the yarn wherein between described two metal polar plates is larger, described electric capacity is larger, and the amplitude of described modulated wave is larger;
Signaling conversion circuit, is connected with described capacitive transducer, and described modulated wave is converted to electric impulse signal, and the amplitude based on described electric impulse signal calculates and exports yarn diameter, and the amplitude of wherein said modulated wave is larger, and the amplitude of described electric impulse signal is larger;
Microprocessor, pass fast detector, described static memory and described signaling conversion circuit with described yarn to be connected respectively, yarn detection time is calculated based on described predetermined unit length and described longitudinal transmission speed, the signaling conversion circuit calculated within described yarn detection time more than described yarn diameter max-thresholds or below described yarn diameter minimum threshold exports the occurrence number of yarn diameter, to export as described first fault quantity;
Described image model checkout equipment comprises
Picture pick-up device, passes fast checkout equipment with described yarn and described static memory is connected respectively, calculates the shooting interval time, based on the figure warp thread picture of described shooting interval time captured in real-time spinning machine based on described predetermined unit length and described longitudinal transmission speed;
Image recognition apparatus, comprise image pre-processing unit, yarn cutting unit and fault quantity statistics unit, described image pre-processing unit is connected with described picture pick-up device, successively contrast strengthen is performed in order to described figure warp thread picture, gray processing and wavelet filtering process, with the image after output filtering, described yarn cutting unit is connected respectively with described static memory and described image pre-processing unit, so that the pixel identification of gray-scale value in described filtered image between described yarn upper limit gray threshold and described yarn lower limit gray threshold is formed yarn subimage, described fault quantity statistics unit is connected with described yarn cutting unit, measure the occurrence number of the yarn diameter in described yarn subimage more than described yarn diameter max-thresholds or below described yarn diameter minimum threshold, to export as described second fault quantity,
Described flush bonding processor and described static memory, described microprocessor is connected respectively with described fault quantity statistics unit, when difference between described first fault quantity and described second fault quantity is more than or equal to described maximum difference threshold value, send defect detection fault pre-alarming signal, when difference between described first fault quantity and described second fault quantity exceedes 50% of described maximum difference threshold value, send defect detection failure alarm signal, when difference between described first fault quantity and described second fault quantity is less than described maximum difference threshold value, calculate the mean value of described first fault quantity and described second fault quantity, when described mean value is more than or equal to described fault transformation, send described excision signal, when described mean value is less than described fault transformation, send described reliable in quality signal,
Display device, be connected with described flush bonding processor, to show the display word corresponding with described first fault quantity and described second fault quantity difference in real time, also for showing the display word corresponding respectively with described defect detection fault pre-alarming signal, described defect detection failure alarm signal, described excision signal or described reliable in quality signal;
Wherein, the described microprocessor signaling conversion circuit calculated within described yarn detection time more than described yarn diameter max-thresholds or below described yarn diameter minimum threshold exports the occurrence number of yarn diameter, during to export as described first fault quantity, be that signaling conversion circuit more than described yarn diameter max-thresholds or below described yarn diameter minimum threshold exports yarn diameter and only once counts as occurrence number using appearing between twice yarn diameter reference value, numerical value;
Wherein, described image recognition apparatus measures the occurrence number of the yarn diameter in described yarn subimage more than described yarn diameter max-thresholds or below described yarn diameter minimum threshold, during to export as described second fault quantity, be that yarn diameter more than described yarn diameter max-thresholds or below described yarn diameter minimum threshold only once counts as occurrence number using appearing between twice yarn diameter reference value, numerical value;
Wherein, described ZigBee communication equipment is connected with described flush bonding processor, so that described defect detection fault pre-alarming signal, described defect detection failure alarm signal, described excision signal or described reliable in quality signal wireless are sent to described weaving department management platform.
3. method as claimed in claim 2, is characterized in that:
Described flush bonding processor is ARM11 processor.
4. method as claimed in claim 2, is characterized in that:
Described image pre-processing unit, described yarn cutting unit and described fault quantity statistics unit adopt independently fpga chip to realize respectively.
5. method as claimed in claim 2, is characterized in that:
Prestored described yarn diameter reference value in described static memory, described yarn diameter reference value is a reference value scope with higher limit lower limit.
6. method as claimed in claim 2, is characterized in that:
Described flush bonding processor determines whether substitute the repertoire implementing described image recognition apparatus according to the operation resources occupation rate of itself.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108474751A (en) * | 2016-01-22 | 2018-08-31 | Mg传感器有限公司 | Yarn imaging device |
| CN110838113A (en) * | 2019-11-08 | 2020-02-25 | 南京大学金陵学院 | Method for detecting monofilament count and monofilament thickness consistency in multifilament synthesis |
| CN112229898A (en) * | 2020-10-09 | 2021-01-15 | 苏州由田申甲软件科技有限公司 | Yarn signal detection device |
| CN113355776A (en) * | 2020-03-06 | 2021-09-07 | 里特机械公司 | Method for operating a spinning machine and spinning machine |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108474751A (en) * | 2016-01-22 | 2018-08-31 | Mg传感器有限公司 | Yarn imaging device |
| CN110838113A (en) * | 2019-11-08 | 2020-02-25 | 南京大学金陵学院 | Method for detecting monofilament count and monofilament thickness consistency in multifilament synthesis |
| CN110838113B (en) * | 2019-11-08 | 2022-03-04 | 南京大学金陵学院 | Method for detecting monofilament count and monofilament thickness consistency in multifilament synthesis |
| CN113355776A (en) * | 2020-03-06 | 2021-09-07 | 里特机械公司 | Method for operating a spinning machine and spinning machine |
| CN113355776B (en) * | 2020-03-06 | 2024-02-13 | 里特机械公司 | Method for operating spinning machine and spinning machine |
| CN112229898A (en) * | 2020-10-09 | 2021-01-15 | 苏州由田申甲软件科技有限公司 | Yarn signal detection device |
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|---|---|
| CN104562331B (en) | 2015-09-23 |
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