CN102141380B - Method for processing size and image of pipe end of non-contact measuring steel pipe - Google Patents
Method for processing size and image of pipe end of non-contact measuring steel pipe Download PDFInfo
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- CN102141380B CN102141380B CN2010106095986A CN201010609598A CN102141380B CN 102141380 B CN102141380 B CN 102141380B CN 2010106095986 A CN2010106095986 A CN 2010106095986A CN 201010609598 A CN201010609598 A CN 201010609598A CN 102141380 B CN102141380 B CN 102141380B
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Abstract
The invention provides a method for processing the size and image of a pipe end of a non-contact measuring steel pipe, and the method comprises the following steps: carrying out image acquisition on the pipe end of a measured steel pipe by using a CCD (charge-coupled device) camera, and then transmitting the acquired image information to an industrial personal computer; processing the obtained image of the pipe end of the measured steel pipe by using computer image processing software and computer vision processing software, thus obtaining a profile ring of the pipe end of the measured steel pipe; carrying out fitting on the internal and external profiles of the image of the pipe end of the measured steel pipe; marking the center of the ring, and making N lines passing through the center; measuring the distances between the lines and two intersection points at one side of the ring by using the processing software, so that the obtained valve is the pixel value of wall thickness of the pipe end of the measured steel pip in the whole image; and multiplying the obtained pixel value by a fixed ratio value so as to obtain the actual wall thickness value of the pipe end of the measured steel pipe. The method disclosed by the invention has the advantages that the influence (caused by burrs or uneven wall thicknesses generated in the process of carrying out cutting operation on steel pipes) on final measuring results can be eliminated, and the negative influences caused by the subjective factors of measuring personnel are avoided, thereby improving the measurement accuracy.
Description
Technical field
The present invention relates to a kind of measuring technique, particularly a kind of non-cpntact measurement pipe end sized image disposal route.
Background technology
Machine vision technique be with image capture devices such as video camera or camera and image processing software work compound replace human eye to image discern, inspection such as dimensional measurement, form fit.The sharpest edges of machine vision are that there is not subjective factor in measuring equipment, can be not tired, and each time measurement all keeps consistency.
Each tube rolling factory is long-term when the pipe end to steel pipe carries out dimensional measurement in the steel pipe industry at present leans on manual work to carry out manual measurement with measurer; Measurement data is on the low side; Can not provide judgement intuitively to wall unevenness and ovality, the accuracy of measurement receives the precision of rhythm of production, environment, measurer and the subjective factor of survey crew to influence bigger.
The pipe end size of hand dipping steel pipe is to measure thickness of steel pipe with wall thickness micrometer gauge.The tack of wall thickness micrometer gauge contacts with outer wall of steel pipe, and tip contacts with inwall, and the distance between tack and the tip is a thickness of steel pipe.Long-term hand is surveyed bigger to the loss of measurer, so just causes the maintenance of measurer and purchase cost to remain high, and the measuring method of survey crew, quality, sense of responsibility, muscle power etc. also can have very large influence to measurement result.In order to reduce the measurement cost, eliminate the influence of human factor to measurement result, be badly in need of a kind of machine vision technique of exploitation and cooperate suitable algorithm to replace for manual measurement.
Summary of the invention
For solving the problem that exists in the above-mentioned technology; The present invention provides a kind of pipe end sized image disposal route of non-cpntact measurement steel pipe; Replace human eye with the CCD camera, thereby replace wall thickness micrometer gauge to realize that the automatic measurement of thickness of steel pipe replaces hand dipping with the machine vision algorithm.Be beneficial to improve measuring accuracy.
For realizing above-mentioned purpose; The technical scheme that the present invention adopts provides a kind of non-cpntact measurement pipe end sized image disposal route; When this method uses machine to measure the pipe end size; Select for use the HALCON Computer Image Processing and the computer vision process software of German MVTec company to carry out, this method may further comprise the steps:
At first, tested pipe end is carried out IMAQ, the image information of being gathered is transferred in the industrial computer with ccd video camera;
Secondly; Utilize said HALCON Computer Image Processing and computer vision process software that said tested pipe end image is handled, obtain the profile annulus of a tested pipe end after treatment, the inside and outside contour of tested pipe end image is carried out match; Obtain inside and outside two circles; And mark two the circle the center of circle, the center of the center of circle of cylindrical, do N bar straight line through the center as annulus; Straight line and tested pipe end inside and outside circle have 4N intersection point; Measure the distance of straight line and annulus one side two intersection points through said process software, the wall thickness that is tested pipe end shared pixel value in entire image, said pixel value obtains pipe end wall thickness actual value after multiply by a fixed proportion value P;
Fixed proportion value P obtains: between the shared pixel value of situation lower wall thickness of ccd video camera and tested pipe end fixed distance and actual wall thickness value, have a fixing proportionate relationship; Measure the wall thickness of the standard component of the thick actual value of known tubes end wall with machine; Draw standard component wall thickness shared pixel value in image, can get ratio value P by following formula:
Fixed proportion value P=standard component wall thickness actual value/standard component wall thickness pixel value;
After drawing fixed proportion value P, as long as tested pipe end wall thickness shared pixel value in image multiply by the actual wall thickness value that fixed proportion value P promptly draws tested pipe end.
Effect of the present invention is that this method can be eliminated because steel pipe produces burr or the even influence that The ultimate results is caused of wall unevenness when carrying out cutting operation, and the principle of measuring the pipe end size with wall thickness micrometer gauge with manual work is consistent.Before not using this algorithm, the inside and outside circle center of circle differs two pixels, causes final measuring accuracy to reduce.After using new algorithm, measuring accuracy does not receive the influence in the center of circle, measuring accuracy only with the pixel and the distance dependent of video camera, avoided adverse effect because of the subjective factor of survey crew, improve measuring accuracy.
Description of drawings
The length of Fig. 1 definite line segment AB of the present invention is the wall thickness synoptic diagram that A is ordered.
Embodiment
In conjunction with accompanying drawing non-cpntact measurement pipe end sized image disposal route of the present invention is explained.
Behind the HALCON software through the VISION software of relatively America NI company on probation and German MVTec company, the factor of comprehensive each side is selected the HALCON image processing software of German MVTec company for use.HALCON is a all-round machine vision software bag, and it is the basis with Computer Image Processing and computer vision technique, provides current function the most powerful vision algorithm kit, is the most comprehensively machine vision process software of the world.Support most popular in the world image capture device, support C#, C++, VC, programming languages such as VB.This software comprises more than 1100 Flame Image Process and analyzes operator, can carry out the dimensional measurement of one dimension, two dimension, three-dimensional, the detection of surface-mounted integrated circuit, and the scanning of bar code detects, workpiece sorting, functions such as external appearance matching detection.It mainly is the process of measurement of exploitation pipe end measuring system that the present invention uses this software, and exports as in the C# language program embedded system program and carry out pattern analysis.
General Processing Algorithm is to utilize the image processing softwares such as HALCON of VISION or the German MVTec company of America NI company the pipe end image to be carried out obtaining after the multiple processing profile of a pipe end.Inside and outside contour to tested pipe end image carries out match, obtains inside and outside two circles, and marks the center of circle of two circles; The center of the center of circle of cylindrical as annulus; Do the N bar straight line through the center, straight line and tested pipe end inside and outside circle have 4N intersection point, measure the distance of straight line and annulus one side two intersection points through said process software; The wall thickness that is tested pipe end shared pixel value in entire image, said pixel value obtains pipe end wall thickness actual value after multiply by a fixed proportion value P.
But in the rig-site utilization process of reality, find since the steel pipe of producing when cutting; The pipe end of some steel pipe can jagged appearance or steel pipe itself when having the even situation of wall unevenness; When carrying out the pipe end Flame Image Process, can influence the match of inside and outside circle; The inside and outside circle center of circle does not overlap, and distance is bigger, just improper as the center of annulus the center of circle of cylindrical in this case.
Non-cpntact measurement pipe end sized image disposal route of the present invention; When this method uses machine to measure the pipe end size; Select for use the HALCON Computer Image Processing and the computer vision process software of German MVTec company to carry out, this method may further comprise the steps:
At first, tested pipe end is carried out IMAQ, the image information of being gathered is transferred in the industrial computer with ccd video camera;
Secondly; Utilize said HALCON Computer Image Processing and computer vision process software that said tested pipe end image is handled, obtain the profile annulus of a tested pipe end after treatment, the inside and outside contour of pipe end image is carried out match; Obtain inside and outside two circles; And mark two the circle the center of circle, the center of the center of circle of cylindrical, do N bar straight line through the center as annulus; Straight line and tested pipe end inside and outside circle have 4N intersection point; Measure the distance of straight line and annulus one side two intersection points through said process software, the wall thickness that is tested pipe end shared pixel value in entire image, said pixel value obtains pipe end wall thickness actual value after multiply by a fixed proportion value P;
Fixed proportion value P obtains: between the shared pixel value of situation lower wall thickness of ccd video camera and tested pipe end fixed distance and actual wall thickness value, have a fixing proportionate relationship; Measure the wall thickness of the standard component of the thick actual value of known tubes end wall with machine; Draw standard component wall thickness shared pixel value in image, can get ratio value P by following formula:
Fixed proportion value P=standard component wall thickness actual value/standard component wall thickness pixel value;
After drawing fixed proportion value P, as long as tested pipe end wall thickness shared pixel value in image multiply by the actual wall thickness value that fixed proportion value P promptly draws tested pipe end.
Non-cpntact measurement pipe end sized image disposal route of the present invention is achieved in that
When carrying out wall thickness measuring, big deviation can occur, influence final measuring accuracy.Through Measurement Algorithm of the present invention is discussed and research: the center of circle of uncertain inside and outside circle, but make tangent line on a bit through this point in certain of excircle configuration; Do through this point then and perpendicular to the straight line of tangent line, this straight line and pipe end inside and outside contour have two intersection points, and be as shown in Figure 1; The uneven situation of simulation thickness of steel pipe among the figure; Straight line 1 is the tangent line through cylindrical right side point A, and straight line 2 intersects at a B for the vertical line through some A straight line 1 with interior circle.The length of line segment AB is the wall thickness that A is ordered.
Measure the shared pixel value of wall thickness that distance between two intersection points promptly obtains this point, through obtaining this actual wall thickness value after the fixing ratiometric conversion.Confirm counting of measurement according to actual needs.This method has been eliminated the inside and outside circle center of circle and has not been overlapped the influence that brings to measurement result, and is consistent with the manual wall thickness micrometer gauge measuring principle of taking.Obvious through actual field actual measurement effect, measuring accuracy obviously improves.
Measure the wall thickness value of 8 points of same pipe end and the comparative result of the measured value of wall thickness micrometer gauge:
Before not using this method:
Standard pipe: 58.9 * 4.98 (mm)
Maximum deviation is 6.6%
After using this method:
Standard pipe: 58.9 * 4.98 (mm)
Maximum relative deviation is-1.30%
Through finding that relatively measuring accuracy has improved about 5 times after adopting this method, has reached the purpose of skill upgrading.
Claims (1)
1. when non-cpntact measurement pipe end sized image disposal route, this method use machine to measure pipe end size, select for use the HALCON Computer Image Processing and the computer vision process software of German MVTec company to carry out, this method may further comprise the steps:
At first, tested pipe end is carried out IMAQ, the image information of being gathered is transferred in the industrial computer with ccd video camera;
Secondly; Utilize said HALCON Computer Image Processing and computer vision process software that said tested pipe end image is handled, obtain the profile annulus of a tested pipe end after treatment, the inside and outside contour of tested pipe end image is carried out match; Obtain inside and outside two circles; And mark two the circle the center of circle, the center of the center of circle of cylindrical, do N bar straight line through the center as annulus; Straight line and tested pipe end inside and outside circle have 4N intersection point; Measure the distance of straight line and annulus one side two intersection points through said process software, the wall thickness that is tested pipe end shared pixel value in entire image, said pixel value obtains pipe end wall thickness actual value after multiply by a fixed proportion value P;
Fixed proportion value P obtains: between the shared pixel value of situation lower wall thickness of ccd video camera and tested pipe end fixed distance and actual wall thickness value, have a fixing proportionate relationship; Measure the wall thickness of the standard component of the thick actual value of known tubes end wall with machine; Draw standard component wall thickness shared pixel value in image, can get ratio value P by following formula:
Fixed proportion value P=standard component wall thickness actual value/standard component wall thickness pixel value;
After drawing fixed proportion value P, as long as pipe end wall thickness shared pixel value in image of tested steel pipe multiply by the actual wall thickness value that fixed proportion value P promptly draws tested pipe end.
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| CN105890527A (en) * | 2014-10-17 | 2016-08-24 | 中南大学 | Automatic device capable of realizing wall thickness deviation measurement of steel tube |
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| CN110567345A (en) * | 2019-09-04 | 2019-12-13 | 北京信息科技大学 | Non-contact type pipe wall thickness measuring method and system based on machine vision |
| CN110956659A (en) * | 2019-11-29 | 2020-04-03 | 航天特种材料及工艺技术研究所 | Industrial CT-based rapid measuring method for wall thickness of annular cross section |
| CN113701651A (en) * | 2021-10-20 | 2021-11-26 | 国网天津市电力公司电力科学研究院 | Cable insulation core size detection method, device and system |
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Effective date of registration: 20190628 Address after: No. 396 Jintang Highway, Dongli District, Tianjin 300301 Patentee after: Tianjin Steel Tube Manufacturing Co., Ltd. Address before: No. 396 Jintang Highway, Dongli District, Tianjin 300301 Patentee before: Tianjin Steel Pipe Group Co., Ltd. |