CN1696675A - Image type online flaws detection equipment in line array for surface of strip steel, and detection method - Google Patents
Image type online flaws detection equipment in line array for surface of strip steel, and detection method Download PDFInfo
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- CN1696675A CN1696675A CN 200510010049 CN200510010049A CN1696675A CN 1696675 A CN1696675 A CN 1696675A CN 200510010049 CN200510010049 CN 200510010049 CN 200510010049 A CN200510010049 A CN 200510010049A CN 1696675 A CN1696675 A CN 1696675A
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Abstract
A method for on-line detecting steel belt surface defect by linear array image includes storing data A of surface defect free steel belt in storage and setting up sensitivity threshold, obtaining multiple data B by using programmable logic unit to apply real time collection on steel belt surface through electric charge transducer and A / D converter, comparing data A and data B, storing data B in databank by computer then analyzing and listing the defect data. The detection device is also disclosed.
Description
Technical field:
What the present invention relates to is the technical field of the online detection of steel strip surface defect, specifically is a kind of image type online flaws detection equipment in line array for surface of strip steel and detection method thereof.
Background technology:
It is the necessary means that guarantees the band steel quality of production that steel strip surface defect detects, and each big steel enterprise is all widely-used in the world.Steel strip surface defect detection at present is three kinds of modes basically: 1, artificial visually examine; 2, laser imaging detects; 3, the charge coupling camera imaging detects.The artificial visually examine only is applicable to low speed production or offline inspection on a small scale because labour intensity is big, the detection weak effect, can not satisfy the needs of current high-speed production; Laser imaging detects owing to the cost height, is difficult to safeguard, also withdrawing from practical application gradually; The charge coupling camera imaging detection technology is the mainstream technology that present steel strip surface defect detects, and its cost is low comparatively speaking, adaptability is strong, easy to use and maintenance.And existing charge coupling video camera imaging pick-up unit is by charge coupled sensor the image information of belt steel surface directly to be sent to handle in the computing machine, and band steel speed of production has reached 1600 meters/minute, it is more than 0.5 millimeter that accuracy of detection generally requires resolution, calculating confidential data to more than 80 million like this in the per second handles, just need many computing machine concurrent workings, will make that whole detection device is huge, complicated, should not safeguard, cost an arm and a leg.
Summary of the invention:
The objective of the invention is needs many computing machine concurrent workings in order to solve in the existing charge coupling camera imaging detection device, come the belt steel surface data are handled, and cause whole device huge, complicated, should not safeguard, expensive problem, and then provide a kind of image type online flaws detection equipment in line array for surface of strip steel and detection method thereof.It is made up of linear array charge coupled sensor 1, high-speed AD converter 2, programmable logic device (PLD) 3, storer 4, digital signal processor 5, optical communication interface 6, computing machine 7, light source 8; Linear array charge coupled sensor 1 is provided with the surface of light source 8 towards band steel 9, the analog signal output of linear array charge coupled sensor 1 connects the input end of analog signal of high-speed AD converter 2, the driving signal input of linear array charge coupled sensor 1 connects the drive signal output terminal of programmable logic device (PLD) 3, the analog-digital conversion data control input/output bus end of programmable logic device (PLD) 3 connects the Data Control output input bus end of high-speed AD converter 2, the Data Control output input bus end of the Data Control output input bus end linking number word signal processor 5 of programmable logic device (PLD) 3, the Data Control address output input bus end of the Data Control address output input bus end connected storage 4 of programmable logic device (PLD) 3, the parallel communication of digital signal processor 5 output input bus end connects the parallel communication output input bus end of optical communication interface 6, and optical communication interface 6 is connected communication by between optical fiber 6-1 and the computing machine 7 with optical fiber.The online defect inspection method step of belt steel surface is: deposit the data A through judgement free of surface defects band steel in storer 4, and set threshold of sensitivity C 001; When detecting, programmable logic device (PLD) 3 is collecting a plurality of data B in real time by high-speed AD converter 2,1 pair of band of linear array charge coupled sensor steel, 9 surfaces, when | B-A| 〉=C, will be by the preliminary judgement defectiveness, and these data B is sent in the computing machine 7 by digital signal processor 5, optical communication interface 6, optical fiber 6-1; When | B-A|＜C, will be determined does not have defective, and abandons these data B 002; Computing machine 7 deposits a plurality of data B that programmable logic device (PLD) 3 sends in database, and judges, defective data is merged, extracts, analyzes, writes down, tabulates 003.The present invention can carry out pre-service to the view data of belt steel surface, and only realize just can be to the real-time detection of steel strip surface defect with a computing machine, and has simple in structure, easy care, cheap advantage.
Description of drawings:
Fig. 1 is linear array charge coupled sensor 1, the light source 8 and relative position and the integrated circuit structural representation of being with steel 9 among the present invention, and Fig. 2 is the flow chart of steps of the online defect inspection method of belt steel surface.
Embodiment:
In conjunction with Fig. 1, Fig. 2 present embodiment is described, it is made up of linear array charge coupled sensor 1, high-speed AD converter 2, programmable logic device (PLD) 3, storer 4, digital signal processor 5, optical communication interface 6, computing machine 7, light source 8; Linear array charge coupled sensor 1 is provided with the surface of light source 8 towards band steel 9, the analog signal output of linear array charge coupled sensor 1 connects the input end of analog signal of high-speed AD converter 2, the driving signal input of linear array charge coupled sensor 1 connects the drive signal output terminal of programmable logic device (PLD) 3, the analog-digital conversion data control input/output bus end of programmable logic device (PLD) 3 connects the Data Control output input bus end of high-speed AD converter 2, the Data Control output input bus end of the Data Control output input bus end linking number word signal processor 5 of programmable logic device (PLD) 3, the Data Control address output input bus end of the Data Control address output input bus end connected storage 4 of programmable logic device (PLD) 3, the parallel communication of digital signal processor 5 output input bus end connects the parallel communication output input bus end of optical communication interface 6, and optical communication interface 6 is connected communication by between optical fiber 6-1 and the computing machine 7 with optical fiber.The online defect inspection method step of belt steel surface is: deposit the data A through judgement free of surface defects band steel in storer 4, and set threshold of sensitivity C 001; When detecting, programmable logic device (PLD) 3 is collecting a plurality of data B in real time by high-speed AD converter 2,1 pair of band of linear array charge coupled sensor steel, 9 surfaces, when | B-A| 〉=C, will be by the preliminary judgement defectiveness, and these data B is sent in the computing machine 7 by digital signal processor 5, optical communication interface 6, optical fiber 6-1; When | B-A|＜C, will be determined does not have defective, and abandons these data B 002; Computing machine 7 deposits a plurality of data B that programmable logic device (PLD) 3 sends in database, and judges, defective data is merged, extracts, analyzes, writes down, tabulates 003.Linear array charge coupled sensor 1 is selected for use is the IL-P1 type line array CCD of Canadian DALSA company; That high-speed AD converter 2 is selected for use is the high-speed a/d conversion chip ADC10080 of American National Instrument Semiconductor company; What programmable logic device (PLD) 3 was selected for use is the Cyclone chip of U.S. altera corp; That storer 4 is selected for use is the K4S561632E of Korea S Samsung; What digital signal processor 5 was selected for use is the TMS320C6711 chip of American TI Company; What optical communication interface 6 was selected for use is HDMP-1032, the HDMP1034 chipset of U.S. Agilent company.
Claims (2)
1, image type online flaws detection equipment in line array for surface of strip steel is characterized in that it is made up of linear array charge coupled sensor (1), high-speed AD converter (2), programmable logic device (PLD) (3), storer (4), digital signal processor (5), optical communication interface (6), computing machine (7), light source (8); Linear array charge coupled sensor (1) is provided with the surface of light source (8) towards band steel (9), the analog signal output of linear array charge coupled sensor (1) connects the input end of analog signal of high-speed AD converter (2), the driving signal input of linear array charge coupled sensor (1) connects the drive signal output terminal of programmable logic device (PLD) (3), the analog-digital conversion data control input/output bus end of programmable logic device (PLD) (3) connects the Data Control output input bus end of high-speed AD converter (2), the Data Control output input bus end of the Data Control output input bus end linking number word signal processor (5) of programmable logic device (PLD) (3), the Data Control address output input bus end of the Data Control address output input bus end connected storage (4) of programmable logic device (PLD) (3), the parallel communication of digital signal processor (5) output input bus end connects the parallel communication output input bus end of optical communication interface (6), and optical communication interface (6) is connected communication by between optical fiber (6-1) and the computing machine (7) with optical fiber.
2, the online defect inspection method of linear array images formula belt steel surface is characterized in that the online defect inspection method step of belt steel surface is: deposit the data A through judgement free of surface defects band steel in storer (4), and set threshold of sensitivity C (001); When detecting, programmable logic device (PLD) (3) is by high-speed AD converter (2), linear array charge coupled sensor (1) band steel (9) surface being collected a plurality of data B in real time, when | B-A| 〉=C, will be by the preliminary judgement defectiveness, and these data B is sent in the computing machine (7) by digital signal processor (5), optical communication interface (6), optical fiber (6-1); When | B-A|＜C, will be determined does not have defective, and abandons these data B (002); Computing machine (7) deposits a plurality of data B that programmable logic device (PLD) (3) sends in database, and judges, defective data merge, extract, analyze, write down, tabulate (003).
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101450352B (en) * | 2007-12-04 | 2011-06-15 | 上海宝钢工业检测公司 | Tandem-mill strip-steel vibration marks detection method |
| CN102253049A (en) * | 2011-06-30 | 2011-11-23 | 东北大学 | Method for accurately detecting surface quality on line in production process of band steel |
| CN101294945B (en) * | 2007-04-28 | 2012-03-28 | 宝山钢铁股份有限公司 | White edge detecting method for hot galvanizing alloying plate |
| CN102607453A (en) * | 2011-01-24 | 2012-07-25 | 宝山钢铁股份有限公司 | Separating imaging method and device of strip steel surface image |
| CN102601131A (en) * | 2012-03-09 | 2012-07-25 | 湖南镭目科技有限公司 | Steel billet surface quality online detection device |
| CN102636492A (en) * | 2012-04-18 | 2012-08-15 | 湖南大学 | High-speed visual on-line detection equipment for surface defects of steel rails |
| CN102759530A (en) * | 2012-07-03 | 2012-10-31 | 湖南镭目科技有限公司 | Online detection device for surface quality image |
| CN102854194A (en) * | 2012-09-11 | 2013-01-02 | 中南大学 | Object surface defect detection method and apparatus based on linear array CCD |
| CN103163141A (en) * | 2011-12-14 | 2013-06-19 | 鞍钢股份有限公司 | Strip steel surface on-line inspection system and method based on embedded image processing system |
| CN104101600A (en) * | 2013-04-15 | 2014-10-15 | 宝山钢铁股份有限公司 | Method and apparatus for detecting fine cracks on cross section of continuous casting slab |
| CN105787955A (en) * | 2016-03-29 | 2016-07-20 | 河南森源电气股份有限公司 | Sparse segmentation method and device of strip steel defect |
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| CN1016810B (en) * | 1990-03-28 | 1992-05-27 | 中国科学院上海技术物理研究所 | On-line optoelectronic width instrument |
| FR2692355B1 (en) * | 1992-06-10 | 1997-06-20 | Valinox | DEVICE AND METHOD FOR THE DETECTION OF DEFECTS OF SURFACE DEFECTS ON LONG METAL PRODUCTS. |
| CN1062497C (en) * | 1995-12-28 | 2001-02-28 | 冶金工业部自动化研究院 | Rolled band steel flatness measuring instructment |
| JP2001066261A (en) * | 1999-08-27 | 2001-03-16 | Fuji Photo Film Co Ltd | Device for inspecting defect of belt body |
| CN1442246A (en) * | 2002-03-06 | 2003-09-17 | 昆明利普机器视觉工程有限公司 | Digital video frequency rolled steel belt width detecting system |
| JP2004013300A (en) * | 2002-06-04 | 2004-01-15 | Denso Wave Inc | Information code reader |
| CN1285360C (en) * | 2004-02-17 | 2006-11-22 | 海南国瑞堂制药有限公司 | Medicine compound having synergistic action |
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Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101294945B (en) * | 2007-04-28 | 2012-03-28 | 宝山钢铁股份有限公司 | White edge detecting method for hot galvanizing alloying plate |
| CN101450352B (en) * | 2007-12-04 | 2011-06-15 | 上海宝钢工业检测公司 | Tandem-mill strip-steel vibration marks detection method |
| CN102607453A (en) * | 2011-01-24 | 2012-07-25 | 宝山钢铁股份有限公司 | Separating imaging method and device of strip steel surface image |
| CN102253049A (en) * | 2011-06-30 | 2011-11-23 | 东北大学 | Method for accurately detecting surface quality on line in production process of band steel |
| CN103163141A (en) * | 2011-12-14 | 2013-06-19 | 鞍钢股份有限公司 | Strip steel surface on-line inspection system and method based on embedded image processing system |
| CN102601131A (en) * | 2012-03-09 | 2012-07-25 | 湖南镭目科技有限公司 | Steel billet surface quality online detection device |
| CN102601131B (en) * | 2012-03-09 | 2016-01-13 | 湖南镭目科技有限公司 | A kind of billet surface quality on-line detecting device |
| CN102636492A (en) * | 2012-04-18 | 2012-08-15 | 湖南大学 | High-speed visual on-line detection equipment for surface defects of steel rails |
| CN102759530A (en) * | 2012-07-03 | 2012-10-31 | 湖南镭目科技有限公司 | Online detection device for surface quality image |
| CN102759530B (en) * | 2012-07-03 | 2016-05-04 | 湖南镭目科技有限公司 | A kind of surface quality image on-line measuring device |
| CN102854194B (en) * | 2012-09-11 | 2014-11-05 | 中南大学 | Object surface defect detection method and apparatus based on linear array CCD |
| CN102854194A (en) * | 2012-09-11 | 2013-01-02 | 中南大学 | Object surface defect detection method and apparatus based on linear array CCD |
| CN104101600A (en) * | 2013-04-15 | 2014-10-15 | 宝山钢铁股份有限公司 | Method and apparatus for detecting fine cracks on cross section of continuous casting slab |
| CN105787955A (en) * | 2016-03-29 | 2016-07-20 | 河南森源电气股份有限公司 | Sparse segmentation method and device of strip steel defect |
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| CN100390530C (en) | 2008-05-28 |
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