CN1789990A - Automatic online detection method for defects on upper and lower surfaces during steel plate pretreatment process - Google Patents
Automatic online detection method for defects on upper and lower surfaces during steel plate pretreatment process Download PDFInfo
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- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
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- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
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- G01N21/89—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8854—Grading and classifying of flaws
- G01N2021/888—Marking defects
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/89—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles
- G01N21/8914—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles characterised by the material examined
- G01N2021/8918—Metal
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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Abstract
The invention discloses an on-line self-detecting method of surface defect in the ship formation steel predisposing course, which comprises the following steps: allocating the steel surface luminous equipment to form light field on two faces of on-line steel; setting several cases of independent imaging measuring device corresponding to each light field; proceeding real-time image of two faces of steel simultaneously when the steel moves along horizontal direction; disposing the image and marking the defect point; gathering the image grey scale and colority information separately through grey scale image information collector and colority image signal collector; analyzing and disposing the gathered grey scale and colority information through industrial computer software; adapting image grey scale character to identify and classify the defect point; starting the marking device to mark the defect point when the defect point is detected. The invention shortens the ship formation period greatly, which improves the ship body structure quality and detecting precision.
Description
(1) technical field
The present invention relates to the Surface Defects in Steel Plate automatic testing method, particularly relate to the upper and lower surface imperfection online automatic detection method in the steel plate preprocessing process.
(2) background technology
In the shipbuilding process, need to use a large amount of steel plates, at first need carry out pre-service to steel plate, will be in the steel plate preprocessing process through behind surface derusting and the painting process, before entering cutting action, need the surface imperfection of steel plate is detected, will repair or change processing for the defective steel plate that exceeds standard, standard compliant steel plate just can enter the next procedure cutting.
Traditional Surface Defects in Steel Plate detection method, be after treating that steel plate is through the rust cleaning of pretreated stream waterline, primer spray, carry out visual inspection again, after steel plate is simultaneously checked, again another side is checked in the steel plate upset, this inspection method not only inefficiency is dangerous again, and omission is inevitable, to such an extent as to underproof steel plate can be used on the Ship Structure, cause that quality problems cause to do over again.
(3) summary of the invention
The technical problem to be solved in the present invention, be to accomplish to find fast the streamline upper surface defective steel plate that exceeds standard, it is repaired replacing, not only can improve the reliability that steel plate defect is checked, can increase substantially the upper and lower surface imperfection online automatic detection method in the steel plate preprocessing process of throughput rate again.
The technical scheme that adopts is:
Upper and lower surface imperfection online automatic detection method in the steel plate preprocessing process, this method adopts the high speed imaging technology, the characteristics that are different from other normal point according to the imaging color and the gray scale of defect point, adopt image chroma and gray feature recognition technology that defect point is carried out identification and classification, then image is imported microcomputer and handle, can reach defect point position, size, the degree of depth, type information.
Upper and lower surface imperfection online automatic detection method in the steel plate preprocessing process comprises surface of steel plate illumination, pickup image, Flame Image Process and defect point identification of steps.
Step 1: the surface of steel plate illumination, lay the surface of steel plate lighting installation, adopt the glitch-free special light source of imaging, form uniform light field in online steel plate two sides.
Step 2: pickup image, aim at being provided with of each correspondence of light field on steel plate two sides and overlap independently high speed imaging measurement mechanism more, when the steel plate along continuous straight runs moved with certain speed, image measuring device carried out real time imagery simultaneously to the steel plate two sides.
Step 3: Flame Image Process and defect point sign, gather the half-tone information and the chrominance information of imaging respectively by gray image signals collector and chromatic diagram image signal collector, software analysis and the Flame Image Process of working out in advance by industrial computer then, promptly adopt gradation of image and chromaticity recognition technology that defect point is carried out identification and classification, when identification and sorting result are defect point, start marking device defect point is identified.
Above-mentioned surface of steel plate illumination, pickup image, Flame Image Process and defect point sign, be to be loaded on the industrial computer by driver and the image feature base worked out in advance, the driving light source illumination, images acquired, calculate the defect point characteristics of image, to the query image property data base, defect recognition size and kind, and classify with the depth of defect grade, judge whether to be defect point again, when being judged as defect point, marking device recording surface defective and X, the Y-axis coordinate position, automatically reporting to the police starts marking device atomizing of liquids sign, finishes the defect point characteristic information input picture property data base self study after the sign, dilatation.Image measuring device constantly to online motion steel plate two sides several, array shooting, can guarantee level run steel plate none be detected with omitting.
Above-mentioned defect point is categorized as: depth of defect d is greater than 20% of thickness of slab t, and area surpasses 2% of plate face, and this part plate need be carried out in accordance with regulations replacing; 0.07t＜d＜0.2t (mm) polishes after the regulation soldering; D＜0.07t (mm) and d≤3mm, regulation polishes; D＜0.15mm, regulation needn't be repaired.
The good effect that the present invention obtains is:
1, realizes the area of defect point and the degree of depth is measured in real time and steel plate is online two-sidedly detects simultaneously, work safety, improved production efficiency greatly.
2, sheet material measurement amplitude broad, the wide 4m that reaches of plate.
3, the defect point grade identification and the also on-line marking of reporting to the police automatically detects and accurately can not cause omission, improves the Ship Structure quality.
(4) description of drawings
Fig. 1 detects synoptic diagram for steel plate defect of the present invention.
Fig. 2 is measuring system control block diagram of the present invention.
Fig. 3 is the computer software process flow diagram.
(5) embodiment
Upper and lower surface imperfection online automatic detection method in the steel plate preprocessing process, this method is to adopt the high speed imaging technology, the characteristics that are different from other normal point according to the imaging color and the gray scale of defect point, adopt image chroma and gray feature recognition technology that defect point is carried out identification and classification, then image is imported microcomputer and handle.
Surface imperfection online automatic detection method in the steel plate preprocessing process, as shown in Figure 1 and Figure 2.This detection system adopts the portal frame structure, and portal frame 1 is erected on the steel plate pretreated stream waterline, and steel plate 3 moves through portal frame 1 along Y-axis with certain speed.Underbeam is equiped with lighting installation 4 on the portal frame 1, and lighting installation 4 mainly contains the special light source and the lens of high speed stroboscopic, and light source forms uniform beam through lens, and uniform beam is incident upon steel plate 3 two sides and forms light field.The light field of aiming at steel plate 3 two sides respectively being provided with of underbeam correspondence on portal frame 1 two overlapped to quadruplet and independently constituted image measuring device 2 with camera, when steel plate 3 along continuous straight runs moves, carries out several, array is to steel plate two sides while real time imagery.Image measuring device 2 becomes CCD plane colourity and half-tone information with defect area area and depth information, gather steel plate upper surface gray scale image-forming information 13 respectively by gray image signals collector 6,14 and lower surface gray scale image-forming information 15,16, gather upper surface colourity image-forming information 17 respectively by chromatic diagram image signal collector 7,18 and lower surface colourity image-forming information 19,20, the software analysis of working out in advance by industrial computer 8 and handle image then, promptly adopt gradation of image and chromaticity identification defect point and by depth of defect d greater than 20% of thickness of slab t, area surpasses 2% of plate face, and this part plate need be changed; 0.07t＜d＜0.2t (mm) polishes after the regulation soldering; D＜0.07t (mm) and d≤3mm, regulation polishes; D＜0.15mm, regulation needn't be repaired.When identification and sorting result are defect point, the automatic marking device 11 of automatic marking device 10 of the upper surface that is connected with computer interface circuit board 9 and lower surface starts, defect point is identified defect point identification and classification results input self study type defect point colourity and gray feature database 12.Surface Defects in Steel Plate online automatic detection process is to load driver and the image feature base worked out in advance by industrial computer to realize that its software systems flow process is seen shown in Figure 3.The software systems flow process is as follows:
Computing machine brings into operation, and carries out System self-test according to the initialized parameter of systematic parameter;
System self-test is worked as system exception, and is out of service, searches reason adjustment, and no abnormal situation is loaded driver and image feature base;
Illumination and images acquired, driving light source are to the illumination of steel plate two sides, and the simultaneous camera fast imaging is gathered steel plate upper and lower surface defective gray scale and colourity image-forming information;
With the defect point characteristics of image importing enquire image feature base that the gray scale that collects and colourity image-forming information calculate, whether inquiry is defect point, and as then not passing through for defect point, defect point is reported to the police and startup mark equipment in this way;
Mark equipment by the surface imperfection of ONLINE RECOGNITION steel plate and defective area when on X, Y coordinate the position carry out the mark sign;
Defect point gradation of image, chromaticity data return image feature base self study, dilatation;
Video camera constantly to online motion steel plate two sides several, array shooting, driver circular flow, none is omitted detected being in ground and finishes until the steel plate of tangential movement.
Claims (4)
1, the upper and lower surface imperfection online automatic detection method in the steel plate preprocessing process, its feature comprises the steps:
Surface of steel plate lighting installation (4) is laid in A, surface of steel plate illumination, adopts the glitch-free special light source of imaging, forms light field in online steel plate (3) two sides;
B, picked-up image are aimed at being provided with of each correspondence of light field on steel plate two sides and are overlapped independently imaging measurement mechanism (2) more, and when steel plate (3) along continuous straight runs moved, imaging measurement mechanism (2) carried out real time imaging simultaneously to steel plate (3) two sides;
C, image processing and defect point sign, gather the half-tone information and the chrominance information of imaging respectively by gray scale image signal picker (6) and chromatic diagram picture signals collector (7), software analysis and the image processing of working out in advance by industrial computer (8) then, promptly adopt ganmma controller and chromaticity recognition technology that defect point is carried out identification and classification, when identification and sorting result are defect point, start marking device (10), (11) identify defect point.
2, on in the steel plate preprocessing process according to claim 1, lower surface defective online automatic detection method, it is characterized in that described surface of steel plate illumination, image processing and defect point sign, be to be loaded on the industrial computer (8) by driver and the image feature database worked out in advance, the driving light source illumination, gather image, calculate the defect point image feature, to inquiring about visual property data base (12), defect recognition size and kind, and classify with the depth of defect grade, judge whether to be defect point again, when being judged as defect point, marking device (10), (11) recording surface defective and X, the Y-axis coordinate position, automatically reporting to the police starts marking device atomizing of liquids sign, finishes defect point characteristic information input imagery property data base (12) self study after the sign, dilatation.
3, the upper and lower surface imperfection online automatic detection method in the steel plate preprocessing process according to claim 1, it is characterized in that described defect point is categorized as: depth of defect d is greater than 20% of thickness of slab t, area surpasses 2% of plate face, and this part plate need be carried out in accordance with regulations replacing; 0.07t＜d＜0.2t (mm) polishes after the regulation soldering; D＜0.07t (mm) and d≤3mm, regulation polishes; D＜0.15mm, regulation needn't be repaired.
4, the upper and lower surface imperfection online automatic detection method in the steel plate preprocessing process according to claim 1, it is characterized in that portal frame (1) is erected on the steel plate pretreated stream waterline, steel plate (3) moves through portal frame (1) along Y-axis with certain speed; Portal frame (1) is gone up underbeam and is equiped with lighting installation (4), and lighting installation (4) mainly contains the special light source and the lens of high speed stroboscopic, and light source forms parallel beam through lens, and parallel beam is incident upon steel plate (3) two sides and forms light field; The light field of aiming at steel plate (3) two sides in portal frame (1) go up the underbeam correspondence two covers respectively are set or quadruplet independently constitutes imaging measurement mechanism (2) with camera, when steel plate (3) along continuous straight runs moves, carry out several, array is to steel plate two sides real time imaging simultaneously; Imaging measurement mechanism (2) becomes CCD plane colourity and half-tone information with defect area area and depth information, gather steel plate upper surface gray scale respectively by gray scale image signal picker (6) and become image information (13), (14) become image information (15) with the lower surface gray scale, (16), gather upper surface colourity respectively by chromatic diagram picture signals collector (7) and become image information (17), (18) become image information (19) with lower surface colourity, (20), the software analysis of working out in advance by industrial computer (8) and handle image then, promptly adopt ganmma controller and chromaticity identification defect point and by depth of defect d greater than 20% of thickness of slab t, area surpasses 2% of plate face, and this part plate need be changed; 0.07t＜d＜0.2t (mm) polishes after the regulation soldering; D＜0.07t (mm) and d≤3mm, regulation polishes; D＜0.15mm, regulation needn't be repaired; When identification and sorting result are defect point, automatic marking device of upper surface (10) that is connected with computer interface circuit board (9) and the automatic marking device of lower surface (11) start, defect point is identified defect point identification and classification results input self study type defect point colourity and gray feature database (12); Surface Defects in Steel Plate online automatic detection process is to load driver and the image feature database worked out in advance by industrial computer to realize that the software systems flow process is as follows:
A, computing machine bring into operation, and carry out System self-test according to the initialized parameter of systematic parameter;
B, System self-test are worked as system exception, and be out of service, searches reason adjustment, and no abnormal situation is loaded driver and image feature database;
C, illumination are also gathered image, and driving light source is to the illumination of steel plate two sides, and the quick imaging of gamma camera is simultaneously gathered steel plate upper and lower surface defective gray scale and become image information with colourity;
D, the defect point image feature importing enquire image feature database that becomes image information to calculate with colourity the gray scale that collects, whether inquiry is defect point, as then not passing through for defect point, defect point is reported to the police and startup mark equipment in this way;
E, mark equipment by the surface imperfection of ONLINE RECOGNITION steel plate and defective area when on X, Y coordinate the position carry out the mark sign;
F, defect point ganmma controller, chromaticity data return visual property data base self study, dilatation;
G, gamma camera constantly to online motion steel plate two sides several, array videotapes, driver circular flow, none is omitted detected being in ground and finishes until the steel plate of tangential movement.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNB2005100478974A CN100485371C (en) | 2005-12-01 | 2005-12-01 | Automatic online detection method for defects on upper and lower surfaces during steel plate pretreatment process |
| PCT/CN2006/002403 WO2007062563A1 (en) | 2005-12-01 | 2006-09-14 | On-line automatic inspection method for detecting surface flaws of steel during the pretreatment of the ship steel |
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| Application Number | Priority Date | Filing Date | Title |
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| CNB2005100478974A CN100485371C (en) | 2005-12-01 | 2005-12-01 | Automatic online detection method for defects on upper and lower surfaces during steel plate pretreatment process |
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| CN1789990A true CN1789990A (en) | 2006-06-21 |
| CN100485371C CN100485371C (en) | 2009-05-06 |
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| CN100485371C (en) | 2009-05-06 |
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