CN202921575U - Cotton foreign fiber removing device - Google Patents
Cotton foreign fiber removing device Download PDFInfo
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- CN202921575U CN202921575U CN 201220224190 CN201220224190U CN202921575U CN 202921575 U CN202921575 U CN 202921575U CN 201220224190 CN201220224190 CN 201220224190 CN 201220224190 U CN201220224190 U CN 201220224190U CN 202921575 U CN202921575 U CN 202921575U
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Abstract
The utility model relates to a cotton foreign fiber removing device in the technical field of an automatic instrument for weaving. The cotton foreign fiber removing device comprises an image acquisition unit (8) formed by a plurality of area array CCD (charge coupled device) cameras, an image processing unit (9) formed by a CPU (central processing unit)+GPU (graphics processing unit) heterogeneous system, an impurity removal executing unit (10) and other auxiliary units. After an array formed by the plurality of area array CCD cameras is adopted, not only can the requirement on the impurity resolution ratio be met, but also the cost of the cameras can be reduced, and a camera interface is simple; and the image processing unit formed by the CPU+GPU heterogeneous system is adopted, a GPU processes image data in a parallel way, and a CPU is responsible for helping the GPU to complete the computation and other tasks in the aspects of displaying and controlling, so that the CPU and the GPU respectively play the advantages, and the whole device can meet the strict requirement of the industrial field to the instantaneity.
Description
Technical field
The utility model relates to optoelectronic integration and automatic field, is specifically related to the foreign cotton fiber device for eliminating of a kind of CCD of employing area array cameras array and GPU parallel processing technique.
Background technology
Cotton inevitably can be sneaked into foreign fibers (being commonly called as " three ") such as hairline, flax silk, feather, the scraps of paper in harvesting, airing, embroider and transportation, different long and slender dimension sneak into the Quality Down that causes the cotton spinning goods, cause huge loss to enterprise, therefore the removing of cotton foreign fiber is step indispensable in textile process.Along with the development of machine vision and test technique automatic, the automatic different fine scavenge unit of cotton also produces thereupon.
What the existing foreign cotton fiber device for eliminating overwhelming majority based on machine vision adopted is all linear array CCD camera, image pick-up card and power supply that line-scan digital camera is expensive, needs are proprietary, thus the camera lens volume of isochrone array camera is very large, expensive and lens focus makes more greatly the far image acquisition units that makes of object distance take very large space; Secondly image processing part subdivision or the special-purpose hardware mode of employing are realized image processing (being typically DSP and FPGA), this certainly will cause the increasing of development difficulty, or adopting the mode that reduces cotton flow movement velocity and simplified image Processing Algorithm to satisfy the online demand that detects, this all not too satisfies industrial demand.
The utility model content
Deficiency for existing foreign cotton fiber device for eliminating, the utility model has carried out some improvement to existing foreign cotton fiber device for eliminating, adopt a plurality of area array CCD camera arrays as image acquisition units, adopt the CPU+GPU heterogeneous system as graphics processing unit, wherein GPU is responsible for the computing of image algorithm, CPU auxiliary GPU completes computing and completes IMAQ, demonstration etc. and control relevant operation, GPU and CPU do the thing that they are good at separately, make image processing speed and treatment effect can satisfy the demand of industry spot.
The utility model is achieved through the following technical solutions: comprise sense channel, image acquisition units, graphics processing unit, performance element and magnetic valve; Image acquisition units is by area array CCD camera array, front illumination light source, lighting source forms dorsad; Front illumination light source and area array cameras array are positioned at the same side of sense channel, and lighting source is positioned at the opposite side of sense channel and faces camera array dorsad; The front illumination light source is comprised of up and down two parts and becomes 45 degree angles to arrange with sense channel axial, the front illumination light source and dorsad lighting source all formed by four highlighted high-frequency florescent lamps; The area array cameras array is positioned at two-part middle, front illumination light source up and down; The view data that collects is sent in graphics processing unit by the USB line; Graphics processing unit sends the corresponding data of controlling of processing result image output the single-chip microcomputer of performance element to, the open and close of Single-chip Controlling respective electrical magnet valve through USB.The area array CCD camera array is bolted on camera firm banking steel plate, and camera firm banking steel plate is provided with two gaps with width such as nuts, and area array CCD camera moves freely in the gap; Camera firm banking steel plate is arranged on the steel bar support of highly freely adjusting by bolt, the area that can take as required of camera array is adjusted position, left and right and height up and down flexibly like this, select simultaneously varifocal area array cameras camera lens, the image area that each camera photographs can be adjusted as required flexibly, the visual field that adjacent cameras is taken is just intersected, be unlikely overlapping.For the image on two surfaces of energy while shot detection passage, on the both sides of sense channel, image acquisition units has been installed all.The view data that collects directly is sent in graphics processing unit by the USB line.Graphics processing unit adopts the CPU+GPU heterogeneous system as graphics processing unit, the algorithm of GPU image data processing, and the auxiliary GPU of CPU completes computing and control.Graphics processing unit forms by high performance video card is installed in common industrial computer, and the view data that adopts the parallel processing of CPU+GPU heterogeneous system to collect greatly shortens the image processing time, satisfies the requirement of the online high speed detection of industry spot.
The beneficial effects of the utility model are as follows:
1, camera of the present utility model adopts the area array CCD camera array, the camera cost is low, camera only needs just can carry out transfer of data by USB and PC, do not need the additional configuration power supply, and the camera lens volume of area array cameras is little, low price, focal length I make camera from shooting face very close to, make the cost of whole image acquisition units and the space that takies all significantly descends.
2, graphics processing unit of the present utility model adopts the framework of CPU+GPU heterogeneous system, GPU is by the parallel processing view data, greatly shortened the time of image processing algorithm, CPU can more be absorbed in the content of control aspect, makes device not only satisfy the requirement of real-time but also can satisfy the requirement of different fine impurities identification rate.
Description of drawings
Fig. 1 is apparatus structure schematic diagram of the present utility model.
Fig. 2 is camera array mounting structure figure of the present utility model.
Fig. 3 is that camera array of the present utility model is taken the visual field schematic diagram.
Fig. 4 is device work block diagram of the present utility model.
Fig. 5 is the schematic diagram of CPU+GPU heterogeneous system of the present utility model.
In figure, 1, cotton inlet port; 2, sense channel; 3, reject the zone; 4, cotton output port; 5, the cotton flow pipeline; 6, lighting source dorsad; 7, the front illumination light source; 8, the area array CCD camera array; 9, graphics processing unit; 10, performance element; 11, magnetic valve; 12, high pressure tank; 13, different fine collecting box; 14, blower fan; 15, camera firm banking steel plate; 16, the gap is installed; 17, base steel plate installation screw; 18, area array cameras; 19, camera lens; 20, camera pedestal; 21, the camera fixing threaded hole.
The specific embodiment
Specific works process of the present utility model as can be seen from Figure 1.
the course of work of the present utility model is as follows: after at first the cotton that contains foreign fiber passes through shredding, forming the cotton layer that approximately 10mm is thick enters foreign cotton fiber sense channel 5 from cotton inlet port 1, cotton floor height speed is by surveyed area 2 under the effect of traction blower fan 14, area array CCD camera array 8 is taken the cotton flow image under the irradiation of highlight illumination light source 6 and 7, view data is delivered in the graphics processing unit 9 that is comprised of the CPU+GPU heterogeneous system by the USB line, after the fast parallel processing of high-performance GPU in 9, the different fine impurity result that will detect again is sent in the single-chip microcomputer of Jet control circuit 10 by USB interface, after the distance and cotton flow movement velocity process certain time-delay of single-chip microcomputer according to detection zone and denuded zone, control corresponding magnetic valve 11 and open a period of time, the foreign fiber of correspondence position is removed in gases at high pressure ejection in high pressure tank 12, foreign fiber is blown into impurity and collects in case 13, when reaching, the foreign fiber in impurity collecting box 13 together cleaned out again after a certain amount of, the cotton that does not contain different long and slender dimension enters next process from cotton output port 4, thereby complete the online fast automatic removing of cotton foreign fiber.
Image acquisition units of the present utility model adopts area array CCD camera array 8, for satisfying the requirement of industry spot fabric width and different fine impurity resolution ratio, generally needs 4 area array cameras transversely arranged.camera array mounting structure figure by the area array CCD camera array 8 of Fig. 2 can find out: camera firm banking steel plate 15 and two long and narrow installation gaps 16, area array cameras 18 just can carry out according to the actual conditions at scene the mobile adjustment that realizes taking width of left and right in the process of installing like this, camera is fixed on by screw on camera firm banking steel plate 15 through gap 16 is installed by the camera fixing threaded hole 21 of camera pedestal 20, stablizing firmly when the flexible debugging when so just having realized installing and work, camera lens 19 selects the less Varifocal zoom lens of focal length to realize the adjustment of shooting area size, and the base steel plate installation screw 17 of whole base steel plate by surrounding is fixed on adjustable for height support by screw, the flexible adjustment of realization to varying environment, satisfy the needs of different condition.The image-region schematic diagram that camera is taken makes the shooting area close proximity of each camera as shown in Figure 3, avoids the phenomenon of leak bat to occur.
as shown in Figure 4, when cotton flow flows through from the IMAQ window at high speed, area array CCD camera at a high speed gathers Cotton Images, here suppose that area array cameras is 640*480 pixel, the shooting width is 20 ~ 30cm, for satisfying the demand of industry spot 1.2m fabric width, adopt mode that 4 area array cameras make up side by side as shown in Figure 2, such 4 cameras cotton flow IMAQ that 1.2m is wide simultaneously arrive, then through the USB line with image data transmission in the PC internal memory, because area array cameras is once just completed the collection of a two field picture, so uniformity and brightness to illumination have all proposed very high requirement, the captured height of each two field picture also has requirement, suppose that the area array cameras per second can gather the view data of 60 frames, every two field picture cost average time is 1/60=16.7ms, if the speed of cotton flow is 10m/s, in order to make cotton the situation of bat not occur leaking, the height of the captured cotton of every two field picture is at least 16.7cm, because the pixel of camera is 640*480, for satisfying proportionate relationship, when being 30cm, the width of taking highly is 22.5cm, can make the height of photographic images in the 17cm left and right by suitably reducing width, so just can satisfy the continuity that cotton flow takes and the phenomenon of bat not occur leaking, and the overlapping region of fraction only appears in adjacent up and down two field picture.The time-interval averaging that produces due to every frame image data is 16.7ms, in order the leakage of data not occur, every frame image data is processed timely, therefore total time of the Processing Algorithm of every frame image data can not surpass 16.7ms, big data quantity is carried out calculation process rapidly, and this is also the maximum bottleneck of current each device.
The utility model has adopted the CPU+GPU heterogeneous system as graphics processing unit, is responsible for the algorithm process of view data by GPU, and the auxiliary GPU of CPU completes computing and do the task of other control aspect.Process core because GPU contains hundreds and thousands of, a large amount of view data of parallel processing simultaneously has good acceleration effect to the image processing algorithm with a large amount of concurrent operations, can improve the speed of dozens or even hundreds of times.As shown in Figure 5, CPU is sent to the view data of 4 area array cameras in the GPU video memory together, after the GPU parallel processing, result is transferred back in host memory, CPU control data corresponding according to processing result image output send the single-chip microcomputer of performance element to through USB, thereby the open and close of Single-chip Controlling respective electrical magnet valve together weed out foreign fiber together with a small amount of cotton fiber, realize the online removing of foreign cotton fiber, improve the quality of wollen fabrics.Because GPU just has good acceleration effect to parallel algorithm, and can't play the effect of acceleration to a large amount of serial algorithms, therefore the whole algorithm that foreign cotton fiber is removed also has certain requirements, must seek to be fit to the algorithm of GPU computing, and some classical image processing algorithms just must be abandoned.
Claims (3)
1. a foreign cotton fiber device for eliminating, is characterized in that, comprises sense channel (2), image acquisition units, graphics processing unit, performance element (10) and magnetic valve (11); Image acquisition units is by area array CCD camera array (8), front illumination light source (7), lighting source (6) forms dorsad; Front illumination light source (7) and area array CCD camera array (8) are positioned at the same side of sense channel (2), and lighting source (6) is positioned at the opposite side of sense channel (2) and faces area array CCD camera array (8) dorsad; Front illumination light source (7) is comprised of up and down two parts and becomes 45 degree angles to arrange with sense channel axial, front illumination light source (7) and dorsad lighting source (6) all formed by four highlighted high-frequency florescent lamps; Area array CCD camera array (8) is positioned at two-part middle, front illumination light source (7) up and down; The view data that collects is sent in graphics processing unit (9) by the USB line; Graphics processing unit (9) sends the corresponding data of controlling of processing result image output the single-chip microcomputer of performance element (10) to, the open and close of Single-chip Controlling respective electrical magnet valve (11) through USB.
2. a kind of foreign cotton fiber device for eliminating according to claim 1, is characterized in that, described graphics processing unit (9) adopts the CPU+GPU heterogeneous system as graphics processing unit, the algorithm of GPU image data processing, and the auxiliary GPU of CPU completes computing and control.
3. a kind of foreign cotton fiber device for eliminating according to claim 1, it is characterized in that, described area array CCD camera array (8) is fixed on camera firm banking steel plate (15) by camera fixing threaded hole (21), camera firm banking steel plate (15) is provided with two installation gaps (16) with the width such as nut, and area array CCD camera moves freely in gap (16) is installed; Camera firm banking steel plate (15) is arranged on the steel bar support of highly freely adjusting by base steel plate installation screw (17).
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CN 201220224190 CN202921575U (en) | 2012-05-18 | 2012-05-18 | Cotton foreign fiber removing device |
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CN 201220224190 CN202921575U (en) | 2012-05-18 | 2012-05-18 | Cotton foreign fiber removing device |
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Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103244873A (en) * | 2013-05-17 | 2013-08-14 | 中国农业大学 | Cotton delivering pipeline illuminating device |
CN103344648A (en) * | 2013-07-10 | 2013-10-09 | 鞍钢股份有限公司 | Method and system for detecting surface quality of steel sheet based on graphics processing unit (GPU) |
CN103418554A (en) * | 2013-08-27 | 2013-12-04 | 华南农业大学 | Control system and control method of small-size agricultural product intelligent sorting machine based on DSP |
CN104307768A (en) * | 2014-10-29 | 2015-01-28 | 李志红 | Method and equipment for detecting batched products |
CN107643727A (en) * | 2017-11-01 | 2018-01-30 | 海宁纺织机械有限公司 | A kind of shearing machine intelligence cutter lifting system and its implementation based on machine vision |
CN108200316A (en) * | 2017-12-29 | 2018-06-22 | 广东正业科技股份有限公司 | A kind of CCD vision systems and its imaging method |
CN109431009A (en) * | 2018-12-21 | 2019-03-08 | 季华实验室 | A kind of shoe body delasting detection device |
CN111636120A (en) * | 2020-01-20 | 2020-09-08 | 武汉裕大华纺织有限公司 | High-performance foreign fiber sorting device and sorting method |
CN113182214A (en) * | 2021-04-21 | 2021-07-30 | 江南大学 | Sorting device for foreign fibers of raw cotton and using method |
-
2012
- 2012-05-18 CN CN 201220224190 patent/CN202921575U/en not_active Expired - Fee Related
Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103244873A (en) * | 2013-05-17 | 2013-08-14 | 中国农业大学 | Cotton delivering pipeline illuminating device |
CN103244873B (en) * | 2013-05-17 | 2015-10-28 | 中国农业大学 | A kind of cotton delivery pipe lighting device |
CN103344648A (en) * | 2013-07-10 | 2013-10-09 | 鞍钢股份有限公司 | Method and system for detecting surface quality of steel sheet based on graphics processing unit (GPU) |
CN103418554A (en) * | 2013-08-27 | 2013-12-04 | 华南农业大学 | Control system and control method of small-size agricultural product intelligent sorting machine based on DSP |
CN104307768A (en) * | 2014-10-29 | 2015-01-28 | 李志红 | Method and equipment for detecting batched products |
CN107643727A (en) * | 2017-11-01 | 2018-01-30 | 海宁纺织机械有限公司 | A kind of shearing machine intelligence cutter lifting system and its implementation based on machine vision |
CN108200316A (en) * | 2017-12-29 | 2018-06-22 | 广东正业科技股份有限公司 | A kind of CCD vision systems and its imaging method |
CN109431009A (en) * | 2018-12-21 | 2019-03-08 | 季华实验室 | A kind of shoe body delasting detection device |
CN111636120A (en) * | 2020-01-20 | 2020-09-08 | 武汉裕大华纺织有限公司 | High-performance foreign fiber sorting device and sorting method |
CN113182214A (en) * | 2021-04-21 | 2021-07-30 | 江南大学 | Sorting device for foreign fibers of raw cotton and using method |
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C14 | Grant of patent or utility model | ||
GR01 | Patent grant | ||
C17 | Cessation of patent right | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20130508 Termination date: 20140518 |