CN102384719A - Automatic detection method for minitype motor position precision by using machine vision system - Google Patents
Automatic detection method for minitype motor position precision by using machine vision system Download PDFInfo
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- CN102384719A CN102384719A CN2011103590859A CN201110359085A CN102384719A CN 102384719 A CN102384719 A CN 102384719A CN 2011103590859 A CN2011103590859 A CN 2011103590859A CN 201110359085 A CN201110359085 A CN 201110359085A CN 102384719 A CN102384719 A CN 102384719A
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Abstract
The invention provides an automatic detection method for a minitype motor position precision by using a machine vision system. According to the size of a minitype motor product to be detected, the aperture and the exposure time of a shooting camera are regulated; the minitype motor position precision is set as a detection parameter; according to user requirements, the detection precision of the detection parameter is set; an external triggering and controlling signal is used for starting the camera to shoot the images of two end surfaces of an on-line operating minitype motor in real time; the shot image is transmitted to a computer to be detected; the computer extracts two straight lines of two end surfaces of the minitype motor through carrying out image algorithm processing; the images are coincided to calculate an included angle between the two straight lines; according to the calculated included angle, whether a product is a qualified product or a defective product is judged; and defective products can be removed from an appointed outlet by the external triggering and controlling signal. The automatic detection method has the advantages of high detection precision on the minitype motor position precision and high detection speed, and the percent of pass of the product can be effectively guaranteed.
Description
Technical field
The present invention relates to utilize NI Vision Builder for Automated Inspection to carry out the technical field of online detection, relate in particular to, utilize NI Vision Builder for Automated Inspection that the micro motor positional precision is carried out on-line detection method in the micro motor production scene.
Background technology
The back side of micro motor is provided with installation foot, and the front offers through hole.After the correct installation of micro motor, the stationkeeping of the installation foot at the micro motor back side, the third-party institution then need penetrate in the positive through hole of micro motor.Therefore the positive through hole of micro motor must be the certain location relation with the installation foot at the micro motor back side, otherwise can not accomplish assembling.
Therefore, on-the-spot at the micro motor workshop of line production, need carry out online detection to the positional precision of two faces of micro motor.In the prior art; Online detection to the micro motor positional precision relies on manual work to detect; Produce the machine side at micro motor and establish range estimation and the judgment processing that about 80 people carry out the micro motor positional precision, product is divided into certified products (up to standard like positional precision) and unacceptable product (not up to standard like positional precision) according to testing result.Unacceptable product is directly as goods rejection.
The shortcoming that manual detection exists mainly contains: the on-the-spot dust of workshop is many, noise is big, and workman's testing environment is abominable; The normal eye promptly can dim eyesight, eye discomfort such as expand about uninterrupted observation moving object 30min, and testing staff's non-stop run for a long time can't guarantee the product export qualification rate; It is the detection of band precision that the micro motor positional precision detects, and human eye is difficult to judge that accurately error is big that the chance of makeing mistakes is a lot, can't guarantee to detect quality; The speed of professional's observation of micro motor position precision is up to 0.5/s, and production efficiency is had very big restriction.
The content of invention
Online detection dependence manual work to the micro motor positional precision detects to prior art, and the workman is easy to generate visual fatigue, and labour intensity is big; Can't guarantee product percent of pass and detect quality; Problems such as detection speed is low, the present invention provides the automatic testing method of a kind of NI Vision Builder for Automated Inspection to the micro motor positional precision, and it can reduce workman's detection labour intensity greatly; Accuracy of detection is high, speed is fast, the qualification rate of the product that can effectively guarantee to dispatch from the factory.
Technical scheme of the present invention is following:
A kind of NI Vision Builder for Automated Inspection may further comprise the steps the automatic testing method of micro motor positional precision:
(1) with the micro motor crosswise fixed on frock bar anchor clamps, make frock bar anchor clamps on-line operation, with taking the frock bar anchor clamps both sides of camera fixing at on-line operation; According to the size of micro motor to be detected, aperture size, the time shutter of camera taken in adjustment, so that obtain photographic images clearly;
(2) whether correspondence is made as the detection parameter with the image at micro motor two ends, and according to customer requirements the accuracy of detection and the acceptability limit of said detection parameter is set;
(3) computing machine is obtained camera and synchronous triggering and the control signal of production process, starts the image that said camera is taken on-line operation micro motor two ends in real time by external trigger and control signal, and the image of taking is transferred to computing machine confession detection;
(4) computing machine is handled through image algorithm, extracts the image at micro motor two ends;
(5) computing machine calculates and comparison the image at said micro motor two ends; Line between two installation feet of micro motor one end image, and,, calculate the number of degrees of folded acute angle between above-mentioned two straight lines with two width of cloth picture registrations at micro motor two ends at two of micro motor other end image lines between the through hole of 180 degree;
(6) judge that through the angle number of degrees value that calculates this product belongs to certified products, or waste product, rejects waste product through external trigger and control signal from the discharging opening of appointment.
Its further technical scheme is: to said (6) step, specifically carry out the judgement and the go-on-go of positional precision by following step:
(7) whether judge angle number of degrees value at acceptability limit ∈ 12 ± 1 degree, as then turned to for (8) step at acceptability limit, if then do not turn to for (9) step at above-mentioned acceptability limit;
(8) sort as certified products;
(9) directly as goods rejection.
And its further technical scheme is: to said (6) step, when detecting product and be waste product, computing machine will carry out picture cues through man-machine interface, and start warning device.
Useful technique effect of the present invention is:
The present invention adopts NI Vision Builder for Automated Inspection that the micro motor positional precision is carried out online detection, replaces manual detection, and the user can carry out the adjusting of accuracy of detection automatically.Have the record, classification, statistics, storage, the query function that product are detected certified products, this two series products of waste product.And in image, point out the unacceptable product situation through friendly man-machine interface, and give sound, light alarm, reduce workman's detection labour intensity greatly.
Manual detection speed is generally 0.5/s, and the NI Vision Builder for Automated Inspection detection speed can reach 3 ~ 4/s, and the product detection speed of NI Vision Builder for Automated Inspection is artificial 6 ~ 8 times, has greatly improved production efficiency.
Manual detection can't uninterruptedly be carried out product in 24 hours and detect owing to environment and physiological reason, adopted NI Vision Builder for Automated Inspection to detect and then made it become possibility.The production time of equipment can prolong to greatest extent, has improved usage ratio of equipment.
The artificial detection because poor, the vision fatiguability that ventilates is difficult to the Continuous Tracking product quality.Detecting accuracy leans on artificial being difficult to guarantee that improper defect rate generally about 8 ~ 10%, has caused the significant wastage of the resources of production and production cost; The detection angles precision of NI Vision Builder for Automated Inspection is up to 0.1 degree, and precision can per 0.01 degree be that a gradient is adjusted, and is set to several accuracy classes such as 0.1,0.2,0.3,0.4,0.5 degree, thereby improves product percent of pass greatly and detect quality.
Description of drawings
Fig. 1 is the image at the micro motor back side.
Fig. 2 is the positive image of micro motor.
Fig. 3 is the image that two straight lines that extracted overlap.
Fig. 4 is a process sequence diagram of the present invention.
Embodiment
Further specify below in conjunction with the accompanying drawing specific embodiments of the invention.
Fig. 1, Fig. 2 are both ends of the surface shooting and the real images after treatment from micro motor.
In Fig. 1, Fig. 2, blank parts is a micro motor both ends of the surface image through the transparent space after the denoising software processes all around, shown in lines be the contour images of micro motor both ends of the surface after handling.
Basler ACA640-100GM type industrial camera is fixed on micro motor detects both sides with belt transmission system; Camera is about 20mm apart from the distance of micro motor side; Use is executed and is born 50 times of amplification zooms change times camera lenses; Focal length transfers to 16mm, and aperture is transferred to maximal value, and the time shutter is adjusted to 0.41ms.Accuracy of detection is set to 0.1 degree, angle number of degrees value ∈ 12 ± 1 degree of two straight lines that extract at the two ends of the micro motor of setting certified products.Adopt special-purpose White LED bowl light source, shine from the same side of camera (positive light), and use and semiclosedly block the influence that the metal framework shields extraneous veiling glare,, embody the obvious characteristic of micro motor both ends of the surface so that obtain visual pattern more stablely.The LED bowl light source of this project uses the machine vision special light source (also can use the LED bowl light source of other companies) of CCS company, so that can photograph distinct image more stablely, and is shown in the screen of computing machine.On frock bar anchor clamps, adopt the belt transmission system on the production line to carry out the conveying of micro motor the micro motor accumbency, guarantee that micro motor by certain direction and speed, stably gets into pick-up unit.
Computing machine is according to the different control system of institute of different production firm production equipment; Obtain synchronous triggering of camera and production process and control signal; Start said industrial camera and take the image of two end faces of the micro motor of on-line operation; And, be stored in the computing machine the image of two end faces of the micro motor that obtains.
Computing machine carries out Flame Image Process to captured image through edge extracting, smoothing denoising, binary conversion treatment, Fourier Tranform scheduling algorithm, makes image more clear, more meets the truth of two end faces of micro motor.The algorithm that is adopted in the above-mentioned image processing process is conventional algorithm of the prior art.
Computing machine calculates and comparison the image at said micro motor two ends.On the one hand, line between two installation feet of the micro motor back side image of Fig. 1 obtains straight line a; On the other hand, two lines between the through hole of 180 degree at the micro motor direct picture of Fig. 2 obtain straight line b.Then Fig. 1 and Fig. 2 are overlapped, obtain Fig. 3, omit the remainder in the coincidence pattern, only keep straight line a straight line b, the number of degrees of folded acute angle A between the calculated line a straight line b.
As the number of degrees that calculate angle A among Fig. 3 are 12.1 degree, and within acceptability limit 12 ± 1 degree, then this product is certified products.Computing machine writes down, classifies, adds up warehouse-in to such certified products; As the number of degrees that calculate angle A among Fig. 3 are 13.4 degree, and outside acceptability limit 12 ± 1 degree, then this product is a unacceptable product.Computing machine is pointed out the unacceptable product situation through friendly man-machine interface in image, and gives sound, light alarm, and such unacceptable product is write down, classifies, adds up warehouse-in.
More than the control system (hardware and software) of the image capture device (camera, radiation source, power supply, image pick-up card etc.) that uses among all embodiment and storage device (hard disk, CD, floppy disk etc.), image processing equipment (hardware of image processor and software), image display (hardware and software), warning device and each part mentioned above all adopt prior art to design and produce or directly adopt relevant commercially available prod.
Above-described processing step of the present invention is shown in Fig. 4.
It should be noted that above-described at last only is preferred implementation of the present invention, the invention is not restricted to above embodiment.Be appreciated that other improvement and variation that those skilled in the art directly derive or associate under the prerequisite that does not break away from spirit of the present invention and design, all should think to be included within protection scope of the present invention.
Claims (3)
1. a NI Vision Builder for Automated Inspection is characterized in that may further comprise the steps to the automatic testing method of micro motor positional precision:
(1) with the micro motor crosswise fixed on frock bar anchor clamps, make frock bar anchor clamps on-line operation, with taking the frock bar anchor clamps both sides of camera fixing at on-line operation; According to the size of micro motor to be detected, aperture size, the time shutter of camera taken in adjustment, so that obtain photographic images clearly;
(2) whether correspondence is made as the detection parameter with the image at micro motor two ends, and according to customer requirements the accuracy of detection and the acceptability limit of said detection parameter is set;
(3) computing machine is obtained camera and synchronous triggering and the control signal of production process, starts the image that said camera is taken on-line operation micro motor two ends in real time by external trigger and control signal, and the image of taking is transferred to computing machine confession detection;
(4) computing machine is handled through image algorithm, extracts the image at micro motor two ends;
(5) computing machine calculates and comparison the image at said micro motor two ends; Line between two installation feet of micro motor one end image, and,, calculate the number of degrees of folded acute angle between above-mentioned two straight lines with two width of cloth picture registrations at micro motor two ends at two of micro motor other end image lines between the through hole of 180 degree;
(6) judge that through the angle number of degrees value that calculates this product belongs to certified products, or waste product, rejects waste product through external trigger and control signal from the discharging opening of appointment.
2. according to the automatic testing method of the said NI Vision Builder for Automated Inspection of claim 1, it is characterized in that said (6) step is specifically carried out the judgement and the go-on-go of positional precision by following step to the micro motor positional precision:
(7) whether judge angle number of degrees value at acceptability limit ∈ 12 ± 1 degree, as then turned to for (8) step at acceptability limit, if then do not turn to for (9) step at above-mentioned acceptability limit;
(8) sort as certified products;
(9) directly as goods rejection.
3. according to the automatic testing method of the said NI Vision Builder for Automated Inspection of claim 1 to the micro motor positional precision; It is characterized in that said (6) step; When detecting product and be waste product, computing machine will carry out picture cues through man-machine interface, and start warning device.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103612089A (en) * | 2013-11-18 | 2014-03-05 | 深圳市智信精密仪器有限公司 | Alignment assembly method and device for cylindrical assembly parts |
| CN109655042A (en) * | 2018-12-27 | 2019-04-19 | 江苏日托光伏科技股份有限公司 | A kind of solar double-glass assemblies hook detection device and method |
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| JPH1151613A (en) * | 1997-08-06 | 1999-02-26 | Matsushita Electric Ind Co Ltd | Position detector |
| DE102006024408A1 (en) * | 2005-07-22 | 2007-01-25 | Microstudio S.a.s. Di Calafa' Giampaolo & C., Besnate | Device for calculating a geometric characteristic of a spiral spring comprises a unit for receiving images to receive images of the spring at different height positions and a calculating unit for measuring the position of reference regions |
| CN101403602A (en) * | 2008-11-17 | 2009-04-08 | 天津理工大学 | Embedded high-speed on-line machine vision detection method and device |
| CN101509766A (en) * | 2009-03-13 | 2009-08-19 | 无锡众望四维科技有限公司 | On-line detecting method for spring end plane angle by machine vision system |
| CN101695677A (en) * | 2009-10-21 | 2010-04-21 | 陈威江 | Double-shaft crusher |
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2011
- 2011-11-14 CN CN2011103590859A patent/CN102384719A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| JPH1151613A (en) * | 1997-08-06 | 1999-02-26 | Matsushita Electric Ind Co Ltd | Position detector |
| DE102006024408A1 (en) * | 2005-07-22 | 2007-01-25 | Microstudio S.a.s. Di Calafa' Giampaolo & C., Besnate | Device for calculating a geometric characteristic of a spiral spring comprises a unit for receiving images to receive images of the spring at different height positions and a calculating unit for measuring the position of reference regions |
| CN101403602A (en) * | 2008-11-17 | 2009-04-08 | 天津理工大学 | Embedded high-speed on-line machine vision detection method and device |
| CN101509766A (en) * | 2009-03-13 | 2009-08-19 | 无锡众望四维科技有限公司 | On-line detecting method for spring end plane angle by machine vision system |
| CN101695677A (en) * | 2009-10-21 | 2010-04-21 | 陈威江 | Double-shaft crusher |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103612089A (en) * | 2013-11-18 | 2014-03-05 | 深圳市智信精密仪器有限公司 | Alignment assembly method and device for cylindrical assembly parts |
| CN103612089B (en) * | 2013-11-18 | 2016-05-18 | 深圳市智信精密仪器有限公司 | Centered assembling method and the device of cylinder assembly parts |
| CN109655042A (en) * | 2018-12-27 | 2019-04-19 | 江苏日托光伏科技股份有限公司 | A kind of solar double-glass assemblies hook detection device and method |
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Application publication date: 20120321 |