CN106623493A - Detection method for continuous punching of steel band - Google Patents

Detection method for continuous punching of steel band Download PDF

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Publication number
CN106623493A
CN106623493A CN201611267191.3A CN201611267191A CN106623493A CN 106623493 A CN106623493 A CN 106623493A CN 201611267191 A CN201611267191 A CN 201611267191A CN 106623493 A CN106623493 A CN 106623493A
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steel band
image
punching
detection method
steel
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CN106623493B (en
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李建奇
张自轩
朱冬
曹斌芳
李明昊
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Hunan University of Arts and Science
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Hunan University of Arts and Science
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B21MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
    • B21CMANUFACTURE OF METAL SHEETS, WIRE, RODS, TUBES OR PROFILES, OTHERWISE THAN BY ROLLING; AUXILIARY OPERATIONS USED IN CONNECTION WITH METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL
    • B21C51/00Measuring, gauging, indicating, counting, or marking devices specially adapted for use in the production or manipulation of material in accordance with subclasses B21B - B21F

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  • Mechanical Engineering (AREA)
  • Length Measuring Devices By Optical Means (AREA)

Abstract

The invention discloses a detection method for continuous punching of a steel band; the method comprises the steps of setting an image acquisition device above a steel band under punching to perform acquiring, and determining focal length and object distance between the image acquisition device and the upper surface of the steel band below; calibrating a pixel equivalent so that a quantitative correspondence between the actual size of the steel band and the number of pixels in a steel band surface image acquired by the image acquisition device is created through the pixel equivalent; when rolling of the steel band is paused, starting to acquire a surface image of the steel band under punching by the image acquisition device; recognizing, by an industrial personal computer, the acquired surface image of the steel band, and calculating a processing measured value of punching of the steel band. The surface image of the steel band under punching is acquired through image recognition, the processing measured value of punching is calculated through image recognition, automatic detection is achieved for the steel band under punching, and detection efficiency and detection accuracy are improved.

Description

A kind of detection method of steel band punching Continuous maching
Technical field
The present invention relates to detection technique, more particularly, to a kind of detection method of steel band punching Continuous maching.
Background technology
Punched nickel-plated steel band is to carry out punch die punching in cold rolling blank steel strip surface, then carries out what electrochemistry nickel plating was obtained Product.It has good electronic conduction ability and decay resistance, and cost performance is high, is adapted to large-scale continuous production, by conduct Battery current collecting material is widely used.MH-Ni batteries, instrument nickel-cadmium cell, military project sintered type battery are mainly used at present And the track traffic fields such as accumulator plate manufacture.
Punching in the punched nickel-plated steel band course of processing(Punching)Operation is the key link of product formation, punching aperture, Transverse holes away from longitudinal hole away from etc. the restricted condition of key technical index limit.The mode of existing detection Punching steel strip is using artificial Sampling observation mode, production scene workman manually sample, and then carries out offline inspection by Zhao Feng secondary element image equipment.Using There is following defect in manual detection:1. detection efficiency is low and easy missing inspection;2. due to Punching steel strip be rolling be continuous production, it is raw Cannot be sampled during product, even if causing production problem occur, also cannot pinpoint the problems in time, therefore manual detection is difficult to fit With matching with current Punching steel strip process for machining and manufacturing.
The content of the invention
The present invention proposes a kind of detection method of steel band punching Continuous maching, when wind-up operation is suspended to steel band, passes through Image recognition obtains steel strip surface image after punching, and the in-process measurement value of punching processing is calculated to realize punching by image recognition The automatic detection of hole steel band, improves detection efficiency and accuracy.
A kind of detection method of steel band punching Continuous maching, it includes step:
Image acquisition device is set above Punching steel strip, determine image acquisition device and lower section steel band upper surface it Between focal length and object distance;
Pixel equivalent is demarcated, with the steel strip surface for arriving the actual size of steel band and image acquisition device by pixel equivalent Set up between number of pixels in image and quantify corresponding relation;
When steel band suspends wind-up operation, image acquisition device starts to obtain Punching steel strip surface image;
The steel strip surface image for collecting is identified by industrial computer, calculates the in-process measurement value of steel band punching processing.
Wherein, the step of demarcating pixel equivalent includes:
Scaling board is lain in a horizontal plane on monitor station, it is ensured that demarcate edges of boards and put down with the coordinate axess of the imaging screen of image collecting device OK;
Collection scaling board image, identify left and right marked circle, the upper and lower marked circle on scaling board, ask for respectively upper and lower marked circle it Between pixel value between pixel value and the left and right labelling center of circle;
The actual range for using lower marked circle and left and right marked circle is respectively divided by pixel value between the two, obtains in fixed focal length Pixel equivalent with fixture under the conditions of.
Wherein, in-process measurement value includes steel band overall width, steel band left side width, steel band the right width, punching circular diameter, longitudinal hole Away from and transverse holes away from.
Wherein, image collecting device includes left camera for gathering steel plate left side edge image and for gathering steel The right camera of plate right side edge image.
Wherein, the step of calculating steel band overall width includes:Respectively with the image center of left/right lateral edges image as rise Point, detects left/right side boundary line, tries to achieve the first distance between the central point of left/right side boundary line and left/right side camera; First distance obtains total distance along with the second distance between the central point and the central point of right camera of left camera; Total distance is multiplied by pixel equivalent, obtains steel band overall width.
Wherein, the detection method of the steel band punching Continuous maching can also be entered to the deviation of calculated steel band beam overall Row correction, procedure is as follows:(1)The left side for asking for marginal point Pd in left side edge image, right side edge image respectively is inclined Shifting amount △ y1 and right side side-play amount △ y2;(2)According to camera calibration parameter(The corresponding actual range of each pixel is u), calculate Go out actual side-play amount △ s1=△ y1*u and △ s2=△ y1*u;(3)Calculate actual width of steel band w=△ s1+ △ s2+ D0, wherein d0 are the calibrated distance of two left and right sides image centers.
Wherein, the step of calculating punching circular diameter includes:Select region of search at random on steel strip surface image, intercepting is searched Rope area image, the Threshold segmentation region of search image, screening and filtering obtains punching speckle regions, to speckle punching is fitted into The edge in hole, may thereby determine that the center of circle and the diameter of punching, calculate the meansigma methodss of punching area and diameter.
Wherein, the step of pitch of holes is calculated includes:Image is intercepted according to region of search, Threshold segmentation image obtains speckle Image, finds out that nearest circular spot P of range search regional center, using P as basic point, laterally automatically generates including 5 The rectangle of speckle, then the rectangle that can include 5 speckles is longitudinally automatically generated with 5 horizontal speckles, then respectively to horizontal 5 5 rectangular areas of individual rectangular area and longitudinal direction extract circular spot according to shape, and horizontal and vertical speckle is calculated respectively Between average distance.
Wherein, the detection method of the steel band punching Continuous maching is also included based on Blob Algorithm Analysis steel strip surface figures Picture, judges blind hole whether is whether there is in punching, connects the defect of hole and burr.
Compared with prior art, the present invention has the advantages that:
The present invention arranges image collecting device above Punching steel strip and obtains image, is by the image recognition technology of prior art Key technical index of the Punching steel strip in punching process can be accurately detected, manual detection compared to existing technology is carried High detection efficiency and detection precision, to realize that Punching steel strip automated production processing provides the condition of realization.In addition, this Bright simple structure, operation is simple, can be widely used for modern production manufacture processing, with preferably promoting the use prospect.
Description of the drawings
Fig. 1 is the schematic diagram that the image collecting device of the present invention accesses steel band control system for processing;
Fig. 2 is the schematic flow sheet of the present invention;
Fig. 3 is the schematic diagram of part steel strip surface image;
Fig. 4 is the schematic diagram that right camera collects the surface image comprising steel band right side edge.
Specific embodiment
As shown in figure 1, steel band processing produces the existing steel band control system for processing of line, the steel band control system for processing includes control Main frame processed and winding system;And the detecting system of Punching steel strip proposed by the present invention mainly includes that the industrial computer being connected and image are adopted Acquisition means, the industrial computer is connected by RS232 interfaces with control main frame, and using Modbus field bus protocols and control main frame Communication.
Winding system is received again in punching process under the control of control main frame after one section of coil of strip of every punching Volume, stops winding when winding to a certain extent.When winding system is detected carries out winding signal, winding system is started working will Steel band carries out winding operation, and now industrial computer control image collecting device stops image acquisition;When control main frame receives winding system During the time-out winding signal that system sends, industrial computer control image collecting device starts to gather the image of Punching steel strip upper surface.
Image collecting device is got after the image of Punching steel strip upper surface, and image is known by industrial computer or control main frame Not, the machined parameters of Punching steel strip are measured, judges whether to meet processing request.Wherein, machined parameters include aperture value(That is punching Diameter, generally between 1mm-2mm), transverse holes are away from value(The distance between center of circle of i.e. laterally adjacent two punchings, typically For between 1mm-2mm), longitudinal hole is away from value(Horizontal range between the center of circle of i.e. longitudinally adjacent two punchings, generally 2mm with On), hem width value(That is the distance between the center of circle of edge punching and steel band edge, generally between 2mm-60mm), total width values(I.e. Distance between steel band left and right edges, generally between 80mm-400mm).In addition, the tolerance of each machined parameters is generally ± 0.10mm Or ± 0.15mm, the required precision except total width values is 0.03mm, and remaining item detection required precision reaches 0.015mm.
Due to the continuous uninterrupted operation of punching processing production process, for the stability and reliability of image collecting device imaging Property require it is high, the application using the production of Germany balser companies industrial camera, the resolution of camera is 3840*2748 pictures Element, the GigE gigabit ethernet interfaces that data transfer is adopted, extends the interface of 4 PCI-Express interfaces of a band on industrial computer Plate is connected with image collecting device, and the view data of image acquisition device is transferred to industrial computer by ethernet network.
With reference to shown in Fig. 2, in one embodiment, the present invention includes step is implemented as described below:
Step S1. sets up monitor station after steel band punching processing and before winding on path, arranges above monitor station Image acquisition device, determines the focal length and object distance between image acquisition device and lower section steel band upper surface, and in inspection Scaffold tower lower section arranges the illuminator controlled by industrial computer, provides what brightness stability and uniform light did not flashed by illuminator Light source, to facilitate follow-up image procossing.
Step S2. demarcates in advance pixel equivalent, is adopted the actual size of steel band and image collecting device by pixel equivalent Collection(It is also called camera or industrial camera)Set up between number of pixels in image and quantify corresponding relation, so as to by image distance and quilt The actual distance for surveying object is mapped, and realizes the actual test needs of parameter.
The application employs standard component imaging method and measuring system is demarcated.Specifically calibration process is:1. by scaling board (The mm * 5.6mm of size 5.6 of scaling board, have been uniformly distributed some precision 1um apertures on scaling board)Lie in a horizontal plane in monitor station (Follow-up steel band also will be agreement with monitor station used during time detecting steel band by the monitor station, that is, monitor station when demarcating Volume)On, it is ensured that demarcate edges of boards parallel with the coordinate axess of camera imaging screen;2. scaling board image is gathered, is identified on scaling board Left and right marked circle, upper and lower marked circle, pixel value between pixel value and the left and right labelling center of circle is asked between upper and lower marked circle respectively; 3. the actual range for using lower marked circle and left and right marked circle is respectively divided by pixel value between the two, obtain in fixed focal length and Pixel equivalent of the fixture under the conditions of.To improve accuracy of detection, pixel equivalent remains 12 decimals, camera X-axis(Laterally) In pixel orientation equivalent be 0.003826796100mm, Y-axis(Longitudinal direction)Pixel equivalent is 0.003827779593mm on direction.
When steel band suspends wind-up operation, industrial computer control image acquisition device starts to obtain after punching step S3. Steel strip surface image.Wherein, steel strip surface image in part is as shown in Figure 3.
Step S4. is identified by industrial computer to the steel strip surface image for collecting, and calculates adding for steel band punching processing Work measured value, the in-process measurement value includes the overall width of steel band, steel band left side width(I.e. steel band left hand edge is in steel band first row hole Heart distance), steel band the right width(I.e. steel band right hand edge is to steel band first row hole centre distance), punching circular diameter, longitudinal hole away from(I.e. Vertical dimension between two row adjacent circular holes centers), transverse holes away from(Vertical dimension i.e. between two row adjacent circular holes centers)Deng. Wherein, each adds a work measured value=pixel equivalent(Demarcated by step S1)× in steel strip surface image corresponding pixel count.
(1)The measurement of punching circular diameter.Select region of search at random on steel strip surface image, intercept region of search figure Picture, the Threshold segmentation region of search image, screening and filtering obtains punching speckle regions, the side of punching is fitted into speckle Edge, may thereby determine that the center of circle and the diameter of punching, calculate the meansigma methodss of punching area and diameter.
(2)Longitudinal hole is away from measurement.Image is intercepted according to region of search, Threshold segmentation image, screening and filtering obtains punching speckle Point region, circulates centered on the round C of each punching, finds searching two in the limited area of circle C tops and can be used to calculate Longitudinal hole away from round C1 and circle C2, respectively to circle C, circle C1, circle C2 extract be fitted to circle.Justify the circle center line connecting of C2 in the center of circle of circle C1 To the center of circle of circle C vertical dimension be longitudinal hole away from.
(3)Transverse holes are away from measurement.Image is intercepted according to region of search, Threshold segmentation image, screening and filtering obtains punching speckle Point region, circulates centered on the round D of each punching, finds searching two in the limited area of circle D rights and can be used to calculate Transverse holes away from round D1, circle D2, respectively circle D, circle D1, circle D2 are extracted and are fitted to circle, calculate the center of circle, the center of circle of circle D2 of circle D1 Be wired to round D1 the center of circle vertical dimension i.e. transverse holes away from.
(4)Left and right hem width measurement.Left and right hem width is the important indicator of steel band quality, hem width refer to from steel band most edge to The distance of position outermost center of circular hole, asks for 7 hem width values of general measure in measurement, opposite side width values averaged is used as sample The hem width value of product.First, marginal point is asked for, 60 marginal points for selecting amplitude maximum, selecting wherein 80% point carries out straight line plan Close.
(5)Measurement steel band or so hem width and beam overall.Wherein, after width measurement in the left side is finished, left side width and border are drawn Line central point;After the wide measurement in the right is finished, the right width and boundary line central point are drawn.Left and right hem width measurement is finished Afterwards, according to left bounding lines central point and the image center that draws of demarcation away from calculating beam overall(The left and right hem width of beam overall does not have Relation).
In one embodiment, the developed width of steel band is larger, and a camera cannot obtain the image of steel band developed width, Therefore image acquisition device includes the camera of three known separations, the camera of the left and right sides obtains respectively steel band both sides of the edge Image, middle camera obtain the image in the middle part of steel band.After steel band image binaryzation, steel band entity part is black, and is rushed It is elsewhere the region of white beyond hole and steel band.
The detection of steel band overall width is common by the good camera distance of two camera measurements and calibration in advance on edge It is determined that.Beam overall computational methods:By taking the right side edge image that Fig. 4 right cameras shoot as an example, picture middle part horizontal line is handed over vertical line Crunode is the center of right camera(The picture centre), right camera calibration tapping band left side boundary line L1, ask for L1To left image center Pixel distance D1;Likewise, left camera calibration tapping band the right boundary line L2, L2To right image center apart from D2, left camera with it is right Centre distance P of side camera(Can draw after camera calibration), then steel band beam overall=D1+P+D2.On this basis, can also be to meter The deviation of the steel band beam overall for obtaining is corrected, and procedure is as follows:(1)Left side edge image, right side edge are asked for respectively The left side side-play amount △ y1 and right side side-play amount △ y2 of the marginal point Pd in image;(2)According to camera calibration parameter(Each pixel Corresponding actual range is u), calculate actual side-play amount
△ s1=△ y1*u and △ s2=△ y1*u;(3)Actual width of steel band w=△ s1+ △ s2+d0 are calculated, wherein d0 is The calibrated distance of two edge image centers.
Hem width calculating method:Detect steel band boundary line L1, the center of circle L2 of outermost mother rib lateral rotundum is positioned, calculate L1(L2)Midpoint P (X, Y), then P to L2(L1)Distance be hem width distance.
It is, of course, also possible to be based on Blob Algorithm Analysis steel strip surface images, blind hole, Lian Kong, burr are determined whether.Blind hole, Even hole whether there is judgement:Region of search image is intercepted, Threshold segmentation image, image opening and closing operations do area filtration to speckle.White Area after speckle screening exceedes being for thresholding and connects hole, and product is blind hole more than thresholding behind black splotch screening.Leukasmus Point area is hole burr less than normal hole area.
Pitch of holes is calculated:Image is intercepted according to region of search, Threshold segmentation image obtains spot image, finds out distance and search That nearest circular spot P of rope regional center, using P as basic point, laterally automatically generates the rectangle including 5 speckles, then with 5 horizontal speckles longitudinally automatically generate the rectangle that can include 5 speckles, then respectively to horizontal 5 rectangular areas and vertical To 5 rectangular areas circular spot is extracted according to shape, average distance between horizontal and vertical speckle is calculated respectively.
Orifice size calculation:The speckle matrix of the hole 5*5 to asking for above, calculates respectively the area and diameter of each speckle, Then meansigma methodss of reference area and diameter.
As can be seen here, by steel strip surface image recognition, after measuring pixel quantity on image, then it is multiplied by and calibrates The pixel equivalent for arriving, you can obtain the various in-process measurement values of steel band punching processing.
Presently preferred embodiments of the present invention is the foregoing is only, not to limit the present invention, all essences in the present invention Any modification, equivalent and improvement made within god and principle etc., should be included within the scope of the present invention.

Claims (9)

1. a kind of detection method of steel band punching Continuous maching, it is characterised in that including step:
Image acquisition device is set above Punching steel strip, determine image acquisition device and lower section steel band upper surface it Between focal length and object distance;
Pixel equivalent is demarcated, with the steel strip surface for arriving the actual size of steel band and image acquisition device by pixel equivalent Set up between number of pixels in image and quantify corresponding relation;
When steel band suspends wind-up operation, image acquisition device starts to obtain Punching steel strip surface image;
The steel strip surface image for collecting is identified by industrial computer, calculates the in-process measurement value of steel band punching processing.
2. the detection method of steel band punching Continuous maching according to claim 1, it is characterised in that demarcate the step of pixel equivalent Suddenly include:
Scaling board is lain in a horizontal plane on monitor station, it is ensured that demarcate edges of boards and put down with the coordinate axess of the imaging screen of image collecting device OK;
Collection scaling board image, identify left and right marked circle, the upper and lower marked circle on scaling board, ask for respectively upper and lower marked circle it Between pixel value between pixel value and the left and right labelling center of circle;
The actual range for using lower marked circle and left and right marked circle is respectively divided by pixel value between the two, obtains in fixed focal length Pixel equivalent with fixture under the conditions of.
3. the detection method of steel band punching Continuous maching according to claim 1, it is characterised in that in-process measurement value includes steel Band overall width, steel band left side width, steel band the right width, punching circular diameter, longitudinal hole away from and transverse holes away from.
4. the detection method of steel band punching Continuous maching according to claim 3, it is characterised in that image collecting device includes For gathering the left camera and right camera for gathering steel plate right side edge image of steel plate left side edge image.
5. the detection method of steel band punching Continuous maching according to claim 4, it is characterised in that calculate steel band overall width Step includes:Respectively the image center with left/right lateral edges image detects left/right side boundary line as starting point, try to achieve a left side/ The first distance between the central point of right edge boundary line and left/right side camera;First distance is along with the center of left camera Second distance between point and the central point of right camera, obtains total distance;Total distance is multiplied by pixel equivalent, obtains steel band total Width.
6. the detection method of steel band punching Continuous maching according to claim 5, it is characterised in that can also be to being calculated The deviation of steel band beam overall be corrected, procedure is as follows:(1)In asking for left side edge image, right side edge image respectively Marginal point Pd left side side-play amount △ y1 and right side side-play amount △ y2;(2)According to each pixel correspondence in camera calibration parameter Actual range be u, calculate actual side-play amount △ s1=△ y1*u and △ s2=△ y1*u;(3)Calculate actual steel band Width w=△ s1+ △ s2+d0, wherein d0 is the calibrated distance of two left and right sides image centers.
7. the detection method of steel band punching Continuous maching according to claim 3, it is characterised in that calculate punching circular diameter Step includes:Select region of search at random on steel strip surface image, intercept region of search image, the Threshold segmentation region of search Image, screening and filtering obtains punching speckle regions, and the edge of punching is fitted into speckle, may thereby determine that the circle of punching The heart and diameter, calculate the meansigma methodss of punching area and diameter.
8. the detection method of steel band punching Continuous maching according to claim 3, it is characterised in that the step of pitch of holes is calculated Including:Image is intercepted according to region of search, Threshold segmentation image obtains spot image, finds out range search regional center nearest That circular spot P, using P as basic point, laterally automatically generate the rectangle including 5 speckles, then vertical with 5 horizontal speckles Can be including the rectangle of 5 speckles, then respectively to horizontal 5 rectangular areas and 5 rectangular areas of longitudinal direction to automatically generating Circular spot is extracted according to shape, average distance between horizontal and vertical speckle is calculated respectively.
9. according to claim 1-8 any one steel band punching Continuous maching detection method, it is characterised in that also include Based on Blob Algorithm Analysis steel strip surface images, judge blind hole whether is whether there is in punching, connect the defect of hole and burr.
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CN107907063A (en) * 2017-11-14 2018-04-13 湖南文理学院 A kind of the steel band punching processing detecting system and method for view-based access control model measurement
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CN107907063A (en) * 2017-11-14 2018-04-13 湖南文理学院 A kind of the steel band punching processing detecting system and method for view-based access control model measurement
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CN108537791A (en) * 2018-04-16 2018-09-14 卡达克科技有限公司 A kind of stamping parts punching online test method based on machine vision
CN108537791B (en) * 2018-04-16 2020-09-04 中汽研汽车检验中心(广州)有限公司 Punching part punching on-line detection method based on machine vision
CN110889869A (en) * 2019-11-26 2020-03-17 珠海格力电器股份有限公司 Water dispenser water yield control method and device, water dispenser and storage medium
CN111551552A (en) * 2020-05-18 2020-08-18 湘潭大学 Appearance quality detection method for circular hole punching net
CN111551552B (en) * 2020-05-18 2023-06-13 湘潭大学 Appearance quality detection method for round hole punching net
CN112561859A (en) * 2020-11-20 2021-03-26 中国煤炭科工集团太原研究院有限公司 Monocular vision-based steel belt drilling and anchor net identification method and device for anchoring and protecting
CN113012098A (en) * 2021-01-25 2021-06-22 郑州轻工业大学 Iron tower angle steel punching defect detection method based on BP neural network
CN115069882A (en) * 2022-08-22 2022-09-20 潍坊潍尔达石油机械有限公司 Steel pipe stamping forming equipment

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