CN104790075A - Spinner clearing method used for controlling yarn quality - Google Patents
Spinner clearing method used for controlling yarn quality Download PDFInfo
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- CN104790075A CN104790075A CN201510232212.7A CN201510232212A CN104790075A CN 104790075 A CN104790075 A CN 104790075A CN 201510232212 A CN201510232212 A CN 201510232212A CN 104790075 A CN104790075 A CN 104790075A
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- 238000000034 method Methods 0.000 title claims abstract description 19
- 238000001514 detection method Methods 0.000 claims abstract description 37
- 230000007547 defect Effects 0.000 claims abstract description 30
- 238000009987 spinning Methods 0.000 claims description 44
- 238000005520 cutting process Methods 0.000 claims description 15
- 238000012545 processing Methods 0.000 claims description 15
- 238000006243 chemical reaction Methods 0.000 claims description 12
- 230000009466 transformation Effects 0.000 claims description 12
- 238000009941 weaving Methods 0.000 claims description 12
- 230000005540 biological transmission Effects 0.000 claims description 9
- 230000008859 change Effects 0.000 claims description 7
- 238000004891 communication Methods 0.000 claims description 7
- 230000011664 signaling Effects 0.000 claims description 6
- 230000008569 process Effects 0.000 claims description 4
- 230000002457 bidirectional effect Effects 0.000 claims description 3
- 230000005693 optoelectronics Effects 0.000 claims description 3
- 238000000926 separation method Methods 0.000 claims description 3
- 238000004804 winding Methods 0.000 claims description 3
- 230000001360 synchronised effect Effects 0.000 abstract 1
- 239000000835 fiber Substances 0.000 description 25
- 230000001276 controlling effect Effects 0.000 description 19
- 239000004753 textile Substances 0.000 description 9
- 229920000742 Cotton Polymers 0.000 description 5
- 239000004744 fabric Substances 0.000 description 5
- 238000012544 monitoring process Methods 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 4
- 239000000126 substance Substances 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
- 230000007246 mechanism Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000007383 open-end spinning Methods 0.000 description 3
- 238000002156 mixing Methods 0.000 description 2
- 238000007639 printing Methods 0.000 description 2
- 241000238631 Hexapoda Species 0.000 description 1
- 230000032683 aging Effects 0.000 description 1
- 238000005034 decoration Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 235000004879 dioscorea Nutrition 0.000 description 1
- 239000000428 dust Substances 0.000 description 1
- 238000004043 dyeing Methods 0.000 description 1
- 230000001788 irregular Effects 0.000 description 1
- 238000009940 knitting Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 230000008450 motivation Effects 0.000 description 1
- 238000003908 quality control method Methods 0.000 description 1
- VMXUWOKSQNHOCA-UKTHLTGXSA-N ranitidine Chemical compound [O-][N+](=O)\C=C(/NC)NCCSCC1=CC=C(CN(C)C)O1 VMXUWOKSQNHOCA-UKTHLTGXSA-N 0.000 description 1
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Classifications
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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
- D01H13/32—Counting, measuring, recording or registering devices
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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
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- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Textile Engineering (AREA)
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
- Treatment Of Fiber Materials (AREA)
- Spinning Or Twisting Of Yarns (AREA)
Abstract
The invention relates to a spinner clearing method used for controlling the yarn quality. The spinner clearing method comprises the steps that 1 a spinner clearer used for controlling the yarn quality is provided, the clearer comprises a photoelectric-type defect detector, a picture-type defect detector, a parting tool driving circuit and an AT89C51 single chip, the photoelectric-type defect detector and the picture-type defect detector are used for the real-time and synchronous detection on the number of defects in a predetermined per unit length of the yarn in the spinner, the number is output served as a first defect number and a second defect number respectively, the parting tool driving circuit drives a parting tool to excise the yarn which is began to be calculated from a current position and is already passed in the preset per unit length based on an excising signal, the single chip is connected with the photoelectric-type defect detector, the picture-type defect detector and the parting tool driving circuit respectively, and whether to transmit the excising signal to the parting tool driving circuit or not is confirmed based on the first defect number and the second defect number; 2 clearing is conducted through the clearer.
Description
The divisional application of the patent of " a kind of spinning machine clearing method for controlling yarn qualities " that the present invention is application number is 2015100214397, the applying date, to be January 15, denomination of invention in 2015 be.
Technical field
The present invention relates to yarn monitoring field, particularly relating to a kind of spinning machine clearing method for controlling yarn qualities.
Background technology
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.
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 art work 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 textiles, and increasingly harsh and severe to the quality of textiles.
In order to improve the quality of textiles, quality monitoring must be carried out to each fabrication stage of textiles, especially yarn stage, it is good that yarn stage quality is done, level and class that whole textiles manufactures link just can be held from source, if the difference that yarn stage quality is done, the quality of textiles just lacks controllability.
In prior art, in order to improve yarn qualities, yarn clearer generally can be adopted occurring that the yarn of fault detects and excises, wherein, the detection of fault adopts independently photoelectric-type electronic yarn clearer or capacity-type electronic yarn clearer to detect, although the quality of yarn can be ensured to a certain extent, but, the use of single checkout equipment can cause quality control not good because of monitoring means defect inherently, lack corresponding alarm mechanism when Detection results difference simultaneously, reduce the reliability of yarn fabrication stage.
Therefore, needing a kind of spinning machine clearing method for controlling yarn qualities, with reference to the result of multiple Yarn Defect detection means, can not be limited by single checkout equipment defect inherently, the alarm mechanism that Detection results is not good is provided simultaneously, improves the intelligent level of spinning machine yarn clearer.
Summary of the invention
In order to solve the problem, the invention provides a kind of spinning machine clearing method for controlling yarn qualities, transform the spinning machine yarn clearer that existing pattern is single, image recognition technology and photo-electric type detection technique is adopted synchronously to carry out defect detection, the detection data of draw reasonable two kinds of detection means are to improve the reliability of fault excision, simultaneously, two kinds of detection means detection data difference larger time and alarm, be convenient to the equipment state that regulatory authorities reaches the spot to detect yarn clearer fast.
According to an aspect of the present invention, provide a kind of spinning machine clearing method for controlling yarn qualities, the method comprises: 1) provide a kind of spinning machine yarn clearer for controlling yarn qualities, described yarn clearer comprises photo-electric type flaw detector, image-type flaw detector, cutter driving circuit and AT89C51 system, described photo-electric type flaw detector and described image-type flaw detector 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 single-chip microcomputer and described photo-electric type flaw detector, described image-type flaw detector 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 yarn clearer to carry out clearing.
More specifically, in the spinning machine yarn clearer of yarn qualities, also comprise: yarn passes fast checkout equipment, is connected with the head roll of winding yarn described for controlling, the rotating speed based on described head roll calculates longitudinal transmission speed of yarn, memory device, for prestoring predetermined unit length, yarn diameter max-thresholds, yarn diameter minimum threshold, maximum difference threshold value and fault transformation, also for prestoring 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, WiFi communication equipment, communicate for setting up bidirectional wireless link with the weaving department management platform of far-end, receive described predetermined unit length, described yarn diameter max-thresholds, described yarn diameter minimum threshold, described maximum difference threshold value and described fault transformation and be transmitted to described memory device, also for defect detection failure alarm signal, excision signal or reliable in quality signal wireless are sent to described weaving department management platform, described photo-electric type flaw detector comprises infraluminescence pipe, in the side of yarn, sends infrared light to yarn, described photo-electric type flaw detector also comprises photelectric receiver, at the opposite side of yarn, receive the infrared light through yarn, the infrared light received is performed opto-electronic conversion, output photoelectric electric current, described photoelectric current change amplitude changes amplitude to the diameter of yarn and is directly proportional, described photo-electric type flaw detector also comprises signaling conversion circuit, is connected with described photelectric receiver, so that described photoelectric current amplitude is converted to yarn diameter amplitude, and using the yarn diameter amplitude after conversion as output yarn diameter, described photo-electric type flaw detector also comprises microprocessor, pass fast checkout equipment, described memory device 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, calculate the occurrence number of the output yarn diameter within described yarn detection time more than described yarn diameter max-thresholds or below described yarn diameter minimum threshold, to export as described first fault quantity, described image-type flaw detector comprises high-definition camera, fast checkout equipment is passed and described memory device is connected respectively with described yarn, the shooting interval time is calculated based on described predetermined unit length and described longitudinal transmission speed, based on the figure warp thread picture of described shooting interval time captured in real-time spinning machine, the resolution ratio of described high-definition camera is 1920 × 1080, described image-type flaw detector also comprises image recognizer, described image recognizer comprises image gray processing unit, yarn cutting unit and fault quantity statistics unit, described image gray processing unit is connected with described high-definition camera, described in gray processing process, figure warp thread picture is with output gray level image, described yarn cutting unit is connected respectively with described memory device and described image gray processing unit, so that the pixel identification of gray value in described gray level image between described yarn upper limit gray threshold and described yarn lower limit gray threshold is formed yarn subgraph, described fault quantity statistics unit is connected with described yarn cutting unit, measure the occurrence number of the yarn diameter in described yarn subgraph more than described yarn diameter max-thresholds or below described yarn diameter minimum threshold, to export as described second fault quantity, described single-chip microcomputer and described memory device, 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 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, voice playing equipment, is connected with described single-chip microcomputer, to play the voice document corresponding respectively with described defect detection failure alarm signal, described excision signal or described reliable in quality signal in real time, wherein, described microprocessor to calculate 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 output 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 a reference value, numerical value, described yarn diameter a reference value is an a reference value scope with higher limit lower limit, described image recognizer measures the occurrence number of the yarn diameter in described yarn subgraph 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 a reference value, numerical value.
More specifically, described for controlling in the spinning machine yarn clearer of yarn qualities, described image gray processing unit, described yarn cutting unit and described fault quantity statistics unit adopt independently fpga chip to realize respectively.
More specifically, described for controlling in the spinning machine yarn clearer of yarn qualities, ZigBee communication equipment is adopted to replace described WiFi communication equipment.
More specifically, for controlling in the spinning machine yarn clearer of yarn qualities, described yarn clearer also comprises: power transformer, for described photo-electric type flaw detector provides the supply voltage of needs described.
More specifically, for controlling in the spinning machine yarn clearer of yarn qualities, described photo-electric type flaw detector also comprises infrared light supply described, is connected, thinks that described infraluminescence pipe provides infrared light with described infraluminescence pipe.
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 spinning machine yarn clearer for controlling yarn qualities illustrated according to an embodiment of the present invention.
Fig. 2 is the block diagram of the image recognizer of the spinning machine yarn clearer for controlling yarn qualities illustrated according to an embodiment of the present invention.
Detailed description of the invention
Below with reference to accompanying drawings the embodiment of the spinning machine yarn clearer for controlling yarn qualities of the present invention is described in detail.
Yarn, refers to the product being processed into certain fineness with various textile fabric, for weaving cotton cloth, rope making, line processed, knitting and embroidery etc.
Yarn can be divided into: (1) short fibre 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.
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, DENIER etc. (see number).The twist of yarn represents with the number of picking up back of every meter or per inch.The direction of picking up back is divided S to pick up to pick up with Z.Within the scope of certain twist, the intensity twist of yarn increases and increases.Picking up of single thread is selected according to the purposes of strand to picking up of strand to collocation.Usual single thread and strand adopt contrary picking up to, i.e. ZS or SZ.The twist of single thread and strand has an optimum ratio, and within the scope of this, ply yarn stength increases along with strand twist and increases, and when exceeding critical value, ply yarn stength declines on the contrary.
The proterties of fiber and the performance of 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 bulk 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 requirement 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.
The yarn clearer detection means of prior art is single, is easily subject to external interference, thus causes misoperation or the inoperation of thread cutting device, makes yarn qualities amplitude of variation larger.
Spinning machine yarn clearer for controlling yarn qualities of the present invention, abandons single defect detection pattern, adopts two kinds of diverse detection means synchronously to carry out defect detection, and has accomplished the mutual reference of data, thus improves the accuracy of yarn clearer operation.
Fig. 1 is the block diagram of the spinning machine yarn clearer for controlling yarn qualities illustrated according to an embodiment of the present invention, described yarn clearer comprises: photo-electric type flaw detector 1, image-type flaw detector 2, cutter driving circuit 3 and single-chip microcomputer 4, the model of single-chip microcomputer 4 is chosen as AT89C51, described photo-electric type flaw detector 1 and described image-type flaw detector 2 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 3 drives cutting knife excision to calculate from current location based on excision signal, the yarn of the predetermined unit length passed through, described single-chip microcomputer 4 and described photo-electric type flaw detector 1, described image-type flaw detector 2 is connected respectively with described cutter driving circuit 3, determine whether to send described excision signal to described cutter driving circuit 3 based on described first fault quantity and described second fault quantity, described yarn clearer can monitor a road yarn, also can monitor multichannel yarn simultaneously.
Then, continue to be further detailed the concrete structure of the spinning machine yarn clearer for controlling yarn qualities of the present invention.
Described spinning machine yarn clearer also comprises: yarn passes fast checkout equipment, 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 spinning machine yarn clearer also comprises: memory device, for prestoring predetermined unit length, yarn diameter max-thresholds, yarn diameter minimum threshold, maximum difference threshold value and fault transformation, also for prestoring 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 spinning machine yarn clearer also comprises: WiFi communication equipment, communicate for setting up bidirectional wireless link with the weaving department management platform of far-end, receive described predetermined unit length, described yarn diameter max-thresholds, described yarn diameter minimum threshold, described maximum difference threshold value and described fault transformation and be transmitted to described memory device, also for defect detection failure alarm signal, excision signal or reliable in quality signal wireless are sent to described weaving department management platform.
Described photo-electric type flaw detector 1 comprises infraluminescence pipe, in the side of yarn, sends infrared light to yarn; Described photo-electric type flaw detector 1 also comprises photelectric receiver, at the opposite side of yarn, receive the infrared light through yarn, the infrared light received is performed opto-electronic conversion, output photoelectric electric current, described photoelectric current change amplitude changes amplitude to the diameter of yarn and is directly proportional; Described photo-electric type flaw detector 1 also comprises signaling conversion circuit, is connected with described photelectric receiver, so that described photoelectric current amplitude is converted to yarn diameter amplitude, and using the yarn diameter amplitude after conversion as output yarn diameter; Described photo-electric type flaw detector 1 also comprises microprocessor, pass fast checkout equipment, described memory device 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, calculate the occurrence number of the output yarn diameter within described yarn detection time more than described yarn diameter max-thresholds or below described yarn diameter minimum threshold, to export as described first fault quantity.
Described image-type flaw detector 2 comprises high-definition camera, fast checkout equipment is passed and described memory device is connected respectively with described yarn, the shooting interval time is calculated based on described predetermined unit length and described longitudinal transmission speed, based on the figure warp thread picture of described shooting interval time captured in real-time spinning machine, the resolution ratio of described high-definition camera is 1920 × 1080; Described image-type flaw detector also comprises image recognizer, is connected respectively with described high-definition camera and described memory device.
As shown in Figure 2, described image recognizer comprises image gray processing unit 5, yarn cutting unit 6 and fault quantity statistics unit 7, described image gray processing unit 5 is connected with described high-definition camera, described in gray processing process, figure warp thread picture is with output gray level image, described yarn cutting unit 6 is connected respectively with described memory device and described image gray processing unit 5, so that the pixel identification of gray value in described gray level image between described yarn upper limit gray threshold and described yarn lower limit gray threshold is formed yarn subgraph, described fault quantity statistics unit 7 is connected with described yarn cutting unit 6, measure the occurrence number of the yarn diameter in described yarn subgraph more than described yarn diameter max-thresholds or below described yarn diameter minimum threshold, to export as described second fault quantity.
Described single-chip microcomputer 3 and described memory device, described microprocessor is connected respectively with described fault quantity statistics unit 7, 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 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 spinning machine yarn clearer also comprises: voice playing equipment, is connected with described single-chip microcomputer 3, to play the voice document corresponding respectively with described defect detection failure alarm signal, described excision signal or described reliable in quality signal in real time.
Wherein, described microprocessor to calculate 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 output 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 a reference value, numerical value, described yarn diameter a reference value is an a reference value scope with higher limit lower limit; Described image recognizer measures the occurrence number of the yarn diameter in described yarn subgraph 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 a reference value, numerical value.
Wherein, in described spinning machine yarn clearer, described image gray processing unit 5, described yarn cutting unit 6 and described fault quantity statistics unit 7 can adopt independently fpga chip to realize respectively, in described spinning machine yarn clearer, ZigBee communication equipment can be adopted to replace described WiFi communication equipment, described yarn clearer can also comprise: power transformer, for described photo-electric type flaw detector 1 provides the supply voltage of needs, and described photo-electric type flaw detector 1 can also comprise infrared light supply, be connected with described infraluminescence pipe, think that described infraluminescence pipe provides infrared light.
In addition, in the application of spinning, the fiber of reasonable selection various trait, can be spun into the yarn of different-style, adapts to different textile applications or improves wearability.Because chemical fibre can select arbitrarily the cross sectional shape of length, fineness and fiber, garment fabric should select the chemical fibre and cotton blending that fiber is slightly thick, length is slightly short, to increase the woolly aspect on resultant yarn surface.Underwear fabric should select the chemical fibre that fiber is slightly thin, length is slightly grown, and makes cotton fiber at the skin of yarn, to improve moisture pick-up properties and sense comfortable and easy to wear.Open-end-spinning comprises the yarn that open-end spinning, Static Spinning, vortex spinning etc. are spun into, and because fiber during twist inwardly shifts few, yarn core is compared with skin, tight inside but loose outside, loosely, Fiber Straightness is poor for structure, between fiber, cohesive force is poor, and yarn strength is low, but dyeability and anti-wear performance good.From picking up the yarn that is spun into also known as certainly picking up yarn, being utilize stranding to pick up roller to produce periodically forward and reverse false twist degree to yarn, resultant yarn occurring thus brute force is lower, weaves after being generally plied to strand periodically without picking up a little again.
In addition, yarn clearer, refers to the electro-mechanical device detecting and cut off yarn defect.Wherein adopt sensor that the change of the thickness of yarn is converted to the corresponding signal of telecommunication, signal controls executing agency after treatment and the yarn defect of thick (carefully) degree and length of exceeding setting is cut off, and removes the influential yarn defect of product quality.
Electronic yarn clearer clearing is effective, and to yarn not damaged, adjustment is also very convenient, has been widely used in winder (see doff), has also can be used for doubling frame and free-end spinning machine.Electronic yarn clearer of the prior art is divided into photo-electric type and condenser type two class.Photoelectric type yarn clearer detects the change of yarn shading amount, comparatively close to vision.Capacitance Clearer detects the mass change of yarn unit length, indirectly the size of reflection yarn cross section.When adopting photoelectric type yarn clearer, the own device aging of detection zone laying dust, instrument and flat yams defect have impact to work.Adopt Capacitance Clearer time, the regain of yarn and blending irregular larger to work influence.All there is equipment deficiency inherently in thus single detection means.
Adopt the spinning machine yarn clearer for controlling yarn qualities of the present invention, single for existing spinning machine yarn clearer detecting pattern, detecting reliability is not high and lack the technical problem of alarm mechanism, for each spinning machine arranges a set of spinning machine yarn clearer, transform original photo-electric type checkout equipment, and the image recognition apparatus using monitoring accuracy higher and photo-electric type checkout equipment with the use of, the accuracy of data monitoring is provided, and report to the police when data exception, thus while guarantee yarn qualities, improve the maintenance efficiency of checkout equipment.
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 (2)
1., for controlling a spinning machine clearing method for yarn qualities, the method comprises:
1) a kind of spinning machine yarn clearer for controlling yarn qualities is provided, described yarn clearer comprises photo-electric type flaw detector, image-type flaw detector, cutter driving circuit and AT89C51 system, described photo-electric type flaw detector and described image-type flaw detector 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 single-chip microcomputer and described photo-electric type flaw detector, described image-type flaw detector 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 yarn clearer to carry out clearing.
2. the method for claim 1, is characterized in that, described yarn clearer also comprises:
Yarn passes fast checkout equipment, is connected with the head roll of winding yarn, and the rotating speed based on described head roll calculates longitudinal transmission speed of yarn;
Memory device, for prestoring predetermined unit length, yarn diameter max-thresholds, yarn diameter minimum threshold, maximum difference threshold value and fault transformation, also for prestoring 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;
WiFi communication equipment, communicate for setting up bidirectional wireless link with the weaving department management platform of far-end, receive described predetermined unit length, described yarn diameter max-thresholds, described yarn diameter minimum threshold, described maximum difference threshold value and described fault transformation and be transmitted to described memory device, also for defect detection failure alarm signal, excision signal or reliable in quality signal wireless are sent to described weaving department management platform;
Described photo-electric type flaw detector comprises
Infraluminescence pipe, in the side of yarn, sends infrared light to yarn;
Photelectric receiver, at the opposite side of yarn, receives the infrared light through yarn, and the infrared light received is performed opto-electronic conversion, output photoelectric electric current, and described photoelectric current change amplitude changes amplitude to the diameter of yarn and is directly proportional;
Signaling conversion circuit, is connected with described photelectric receiver, so that described photoelectric current amplitude is converted to yarn diameter amplitude, and using the yarn diameter amplitude after conversion as output yarn diameter;
Microprocessor, pass fast checkout equipment, described memory device 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, calculate the occurrence number of the output yarn diameter within described yarn detection time more than described yarn diameter max-thresholds or below described yarn diameter minimum threshold, to export as described first fault quantity;
Described image-type flaw detector comprises
High-definition camera, fast checkout equipment is passed and described memory device is connected respectively with described yarn, the shooting interval time is calculated based on described predetermined unit length and described longitudinal transmission speed, based on the figure warp thread picture of described shooting interval time captured in real-time spinning machine, the resolution ratio of described high-definition camera is 1920 × 1080;
Image recognizer, comprise image gray processing unit, yarn cutting unit and fault quantity statistics unit, described image gray processing unit is connected with described high-definition camera, described in gray processing process, figure warp thread picture is with output gray level image, described yarn cutting unit is connected respectively with described memory device and described image gray processing unit, so that the pixel identification of gray value in described gray level image between described yarn upper limit gray threshold and described yarn lower limit gray threshold is formed yarn subgraph, described fault quantity statistics unit is connected with described yarn cutting unit, measure the occurrence number of the yarn diameter in described yarn subgraph more than described yarn diameter max-thresholds or below described yarn diameter minimum threshold, to export as described second fault quantity,
Described single-chip microcomputer and described memory device, 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 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,
Voice playing equipment, is connected with described single-chip microcomputer, to play the voice document corresponding respectively with described defect detection failure alarm signal, described excision signal or described reliable in quality signal in real time;
Wherein, described microprocessor to calculate 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 output 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 a reference value, numerical value, described yarn diameter a reference value is an a reference value scope with higher limit lower limit;
Wherein, described image recognizer measures the occurrence number of the yarn diameter in described yarn subgraph 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 a reference value, numerical value
Described yarn clearer also comprises: power transformer, for described photo-electric type flaw detector provides the supply voltage of needs.
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105374046A (en) * | 2015-12-03 | 2016-03-02 | 江南大学 | Spinning machine online end breaking detection apparatus and detection algorithm based on spun yarn images |
| CN112626748A (en) * | 2020-12-17 | 2021-04-09 | 广东前进牛仔布有限公司 | Yarn moisture regain control device and method of sizing and dyeing machine |
| CN113355776A (en) * | 2020-03-06 | 2021-09-07 | 里特机械公司 | Method for operating a spinning machine and spinning machine |
| CN114427120A (en) * | 2022-01-27 | 2022-05-03 | 聚纳达(青岛)科技有限公司 | System and method for monitoring electrostatic spinning solution coating |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104499132B (en) * | 2015-01-15 | 2016-09-07 | 海安索菲亚生态环境新材料科技有限公司 | A kind of spinning machine clearing method for controlling yarn qualities |
| GB201601213D0 (en) * | 2016-01-22 | 2016-03-09 | Mg Sensors Ltd | Yarn imaging device |
| GB201713679D0 (en) * | 2017-08-25 | 2017-10-11 | Nicoventures Holdings Ltd | Vapour provision systems |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105374046A (en) * | 2015-12-03 | 2016-03-02 | 江南大学 | Spinning machine online end breaking detection apparatus and detection algorithm based on spun yarn images |
| 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 |
| CN112626748A (en) * | 2020-12-17 | 2021-04-09 | 广东前进牛仔布有限公司 | Yarn moisture regain control device and method of sizing and dyeing machine |
| CN112626748B (en) * | 2020-12-17 | 2023-08-11 | 广东前进牛仔布有限公司 | Yarn moisture regain control device and method for size dyeing machine |
| CN114427120A (en) * | 2022-01-27 | 2022-05-03 | 聚纳达(青岛)科技有限公司 | System and method for monitoring electrostatic spinning solution coating |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104499132A (en) | 2015-04-08 |
| CN104499132B (en) | 2016-09-07 |
| CN104790077A (en) | 2015-07-22 |
| CN104790075B (en) | 2016-01-06 |
| CN104790077B (en) | 2016-09-14 |
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