CN113406189B - System and method for discriminating magnetic marks of turning tool marks as false magnetic marks - Google Patents
System and method for discriminating magnetic marks of turning tool marks as false magnetic marks Download PDFInfo
- Publication number
- CN113406189B CN113406189B CN202110821345.3A CN202110821345A CN113406189B CN 113406189 B CN113406189 B CN 113406189B CN 202110821345 A CN202110821345 A CN 202110821345A CN 113406189 B CN113406189 B CN 113406189B
- Authority
- CN
- China
- Prior art keywords
- magnetic
- image
- mark
- module
- marks
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 230000005291 magnetic effect Effects 0.000 title claims abstract description 158
- 238000000034 method Methods 0.000 title claims abstract description 25
- 238000011156 evaluation Methods 0.000 claims abstract description 52
- 230000007547 defect Effects 0.000 claims abstract description 20
- 238000012545 processing Methods 0.000 claims abstract description 11
- 239000006247 magnetic powder Substances 0.000 claims description 39
- 238000007689 inspection Methods 0.000 claims description 37
- 238000012216 screening Methods 0.000 claims description 31
- 238000012360 testing method Methods 0.000 claims description 24
- 238000009825 accumulation Methods 0.000 claims description 14
- 239000006249 magnetic particle Substances 0.000 claims description 10
- 238000012795 verification Methods 0.000 claims description 7
- 238000001514 detection method Methods 0.000 abstract description 12
- 229910000831 Steel Inorganic materials 0.000 description 6
- 239000010959 steel Substances 0.000 description 6
- 230000005415 magnetization Effects 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 239000011248 coating agent Substances 0.000 description 3
- 238000000576 coating method Methods 0.000 description 3
- 239000000725 suspension Substances 0.000 description 3
- 238000003466 welding Methods 0.000 description 3
- 230000003190 augmentative effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 239000002893 slag Substances 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000011437 continuous method Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000003111 delayed effect Effects 0.000 description 1
- 238000005553 drilling Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 239000003302 ferromagnetic material Substances 0.000 description 1
- 230000004907 flux Effects 0.000 description 1
- 239000004519 grease Substances 0.000 description 1
- JEIPFZHSYJVQDO-UHFFFAOYSA-N iron(III) oxide Inorganic materials O=[Fe]O[Fe]=O JEIPFZHSYJVQDO-UHFFFAOYSA-N 0.000 description 1
- 238000003754 machining Methods 0.000 description 1
- 230000005389 magnetism Effects 0.000 description 1
- 239000003550 marker Substances 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000035515 penetration Effects 0.000 description 1
- 230000035699 permeability Effects 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 238000003908 quality control method Methods 0.000 description 1
- 239000013049 sediment Substances 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 238000010998 test method Methods 0.000 description 1
- 238000011179 visual inspection Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
- 230000037303 wrinkles Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N27/00—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
- G01N27/72—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating magnetic variables
- G01N27/82—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating magnetic variables for investigating the presence of flaws
- G01N27/83—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating magnetic variables for investigating the presence of flaws by investigating stray magnetic fields
- G01N27/84—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating magnetic variables for investigating the presence of flaws by investigating stray magnetic fields by applying magnetic powder or magnetic ink
Landscapes
- Chemical & Material Sciences (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Electrochemistry (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating Or Analyzing Materials By The Use Of Magnetic Means (AREA)
Abstract
The invention provides a system and a method for discriminating a turning tool mark as a false magnetic mark, comprising the following steps: the device comprises image acquisition equipment, an image processing module, an AR module, a display, an evaluation module and a database, wherein the real magnetic mark high-definition image shot by the image acquisition equipment and the virtual mixed image generated by mixing the discrimination image with an evaluation mark are utilized for comparing the defect magnetic mark, and the magnetic mark evaluation result is automatically output, so that different factors of different experience between people can be eliminated, the magnetic mark morphology and size of the vehicle knife mark can be analyzed, compared and evaluated, and the detection efficiency is higher.
Description
Technical Field
The invention belongs to the technical field of alternating current fluorescent magnetic powder flaw detection, and particularly relates to a system and a method for discriminating magnetic marks of turning tool marks into false magnetic marks.
Background
Fluorescent magnetic powder ac magnetization test methods are used to test for cracks, folds, wrinkles, inclusions and other discontinuity defects on or near the surface of ferromagnetic materials. When the surface of the workpiece has defects, the magnetic permeability mu of the air at the defects is very small, the magnetic resistance is very large, and magnetic lines of force are difficult to pass through the defects. The magnetic circuit is changed, so that a part of magnetic force lines are extruded to the lower part of the defect tip to pass through, a part of magnetic force lines are extruded to the surface of the workpiece and then enter the workpiece, and a small part of magnetic force lines directly pass through the defect. So that magnetic force lines leaking out of the surface of the workpiece form S, N poles, namely leakage magnetic fields.
The magnetic powder detection needs to be used for identifying related magnetic marks, non-related magnetic marks and false magnetic marks for displaying all magnetic marks. The relevant magnetic marks are required to be compared with acceptance/waste judgment standards to determine whether the workpiece is qualified or not, and the irrelevant magnetic marks and false magnetic marks are used as qualified products for judgment. Irrelevant magnetic marks can appear independently or are subjected to certain conditions which do not need to be evaluated, such as cross section change (such as key grooves and drilling holes), inherent properties of materials (such as bimetal welding joint surfaces), magnetic writing and the like to cause leakage magnetic fields to form patterns, oil stains, slag and the like on the surface of a workpiece can cause magnetic powder to gather to form magnetic marks, and the magnetic marks can be eliminated after the oil stains and slag on the surface of the workpiece are removed. False magnetic mark display-false magnetic mark display is not caused by magnetic attraction of magnetic powder and is formed by non-leakage magnetic field. Such as mechanically delayed magnetic particles, which fall or become embedded in the surface of the weld recess. The turning tool mark is formed in the surface machining process and does not harm the product quality. After the magnetic marks of the lathe tool marks are cleaned, the lathe tool marks are re-magnetized and re-detected, the magnetic marks of the lathe tool marks are still reproduced, and the accurate discrimination of the lathe tool marks as false magnetic marks is the key of fluorescent magnetic powder inspection. The existing method is judged according to experience and visual inspection of magnetic powder inspectors, and it is difficult to accurately and rapidly identify the area type magnetic marks of the turning tool marks according to false magnetic marks.
Accordingly, there is a need to provide an improved solution to the above-mentioned deficiencies of the prior art.
Disclosure of Invention
The invention aims to overcome the defects in the prior art and provide a technology capable of rapidly monitoring magnetic marks on a workpiece to be screened.
In order to achieve the above object, the present invention provides the following technical solutions:
a system for discriminating a turning tool mark as a false magnetic mark, the system comprising:
the magnetic powder inspection equipment is used for carrying out surface magnetic powder inspection on the workpiece to be screened and has a field of view range for displaying the magnetic mark stacking morphology;
the image acquisition equipment is opposite to the field of view range of the magnetic particle inspection equipment and is used for carrying out real image acquisition on the magnetic mark accumulation morphology;
the image processing module is used for extracting magnetic mark characteristics of the real image acquired by the image acquisition equipment to obtain a virtual image;
the database is stored with a plurality of screening images with magnetic mark accumulation morphology, and marks the magnetic mark evaluation of the screening images;
the AR module is used for carrying out mixing processing on the virtual image and the discrimination image one by one so as to form a mixed image;
the evaluation module is used for comparing the coincidence ratio of the virtual image and the discrimination image in the mixed image, discriminating the magnetic marks in the real image according to the comparison result and outputting an evaluation result;
and the image marking module marks the evaluation result of the real image screened by the evaluation module and stores the marked real image into the database.
In the system for discriminating the turning tool mark magnetic mark as the false magnetic mark, preferably, the AR module is correspondingly connected with a display unit so as to display the mixed image.
Preferably, the system for discriminating the turning tool mark magnetic mark into the false magnetic mark further comprises a verification module, wherein after the mixed image displayed by the display unit is subjected to manual magnetic mark discrimination, the mark of the image marking module is corrected according to a manual discrimination result.
The system for discriminating the magnetic marks of the turning tool marks as false magnetic marks is characterized in that the image acquisition equipment is preferably a CCD camera.
In the system for discriminating the magnetic marks of the turning tool marks as false magnetic marks, preferably, the evaluation module has a magnetic powder inspection standard test piece identification function so as to identify the definition of the magnetic powder inspection standard test piece.
A method of discriminating a turning tool mark as a false magnetic mark, the method comprising:
step S1, placing a workpiece to be screened in magnetic powder inspection equipment, and determining a view field range capable of displaying magnetic mark stacking morphology;
s2, carrying out real image acquisition on the magnetic mark accumulation morphology by utilizing an image acquisition device to be opposite to the field of view range of the magnetic particle inspection device;
step S3, a plurality of screening images with magnetic mark accumulation morphology are stored in a database, and the magnetic mark evaluation of the screening images is marked;
s4, carrying out mixed processing on the virtual image and the discrimination image one by one through an AR module so as to form a mixed image;
s5, comparing the coincidence ratio of the virtual image and the discrimination image in the mixed image through an evaluation module, discriminating magnetic marks in the real image according to the comparison result, and outputting an evaluation result;
and S6, marking the evaluation result of the real image screened by the evaluation module through an image marking module, and storing the marked real image into the database.
In the method for discriminating the turning tool mark from the false magnetic mark, preferably, the AR module is correspondingly connected with a display unit to display the mixed image.
In the method for discriminating the turning tool mark magnetic mark as the false magnetic mark, preferably, the method further includes step S7, after the verification module performs manual magnetic mark discrimination on the mixed image displayed by the display unit, the mark of the image marking module is corrected according to the manual discrimination result.
In the method for discriminating the magnetic marks of the turning tool marks as false magnetic marks, preferably, the image acquisition equipment is a CCD camera.
In the method for discriminating the turning tool mark as the false magnetic mark, preferably, the evaluation module has a magnetic powder inspection standard test piece identification function so as to identify the definition of the magnetic powder inspection standard test piece.
The beneficial effects are that: analyzing the magnetic mark accumulation morphology in the video field range through an AR technology, utilizing a virtual mixed image generated by mixing a real magnetic mark high-definition image and a discrimination image with an evaluation mark, comparing the defect magnetic mark through the mixed image, and automatically outputting a magnetic mark evaluation result; in addition, an image marking module is arranged, and database discrimination images are continuously learned and increased, so that the system can continuously accumulate and learn, and the discrimination capability of defect magnetic marks is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention. Wherein:
FIG. 1 is a schematic diagram of a system for discriminating false magnetic marks according to an embodiment of the present invention;
FIG. 2 is a graph showing crack and turning tool marks of a round bar in accordance with one embodiment of the present invention;
FIG. 3 is a schematic diagram showing the magnetic marks of the tool marks of the square steel car according to an embodiment of the present invention.
In the figure: 1. an image acquisition device; 2. an image processing module; an ar module; 4. a display; 5. an evaluation module; 6. an image marking module; 7. and (5) a database.
Detailed Description
The following description of the technical solutions in the embodiments of the present invention will be clear and complete, and it is obvious that the described embodiments are only some embodiments of the present invention, but not all embodiments. All other embodiments, which are derived by a person skilled in the art based on the embodiments of the invention, fall within the scope of protection of the invention.
The invention will be described in detail below with reference to the drawings in connection with embodiments. It should be noted that, without conflict, the embodiments of the present invention and features of the embodiments may be combined with each other.
As shown in fig. 1-3, a system for discriminating a magnetic mark of a turning tool mark as a false magnetic mark, the system comprises:
the magnetic powder inspection equipment is used for carrying out surface magnetic powder inspection on the workpiece to be screened and is provided with a field-of-view range for displaying the magnetic mark stacking morphology, the field-of-view range is a rectangular area of 105mm and 148mm, the magnetic mark stacking morphology of the workpiece to be screened is displayed in the rectangular area, and particularly, the selection standard of the field-of-view range is shown in GB/T9444-2007; the image acquisition equipment 1 is opposite to the field of view range of the magnetic powder inspection equipment and is used for carrying out real image acquisition on the magnetic mark accumulation morphology; the image processing module 2 is used for extracting magnetic mark characteristics of the real image acquired by the image acquisition equipment 1 to obtain a virtual image; the database 7 stores a plurality of screening images with magnetic mark accumulation morphology, and marks the magnetic mark evaluation of the screening images; the AR module 3 performs a mixing process on the virtual image and the discrimination image one by one to form a mixed image; the evaluation module 5 is used for comparing the coincidence ratio of the virtual image and the discrimination image in the mixed image, discriminating the magnetic marks in the real image according to the comparison result and outputting an evaluation result; the image marking module 6 marks the evaluation result of the real image screened by the evaluation module 5, and stores the marked real image in the database 7.
Analyzing the magnetic mark accumulation morphology in the video field range by an augmented reality (Augmented Reality, AR for short), comparing the defect magnetic mark by using a virtual mixed image generated by mixing a real magnetic mark high-definition image and a discrimination image with an evaluation mark, which are shot by the image acquisition equipment 1, and automatically outputting a magnetic mark evaluation result; in addition, the image marking module 6 is arranged, and the database 7 is continuously added for learning to screen images, so that the system can continuously accumulate and learn, and the screening capability of defect magnetic marks is improved.
In another alternative embodiment of the present application, the AR module 3 is correspondingly connected with a display unit to display the mixed image. Specifically, the display unit is a display 4, the AR module 3 outputs the mixed image to the screen display 4, so that a user can conveniently observe the mixed image from the screen and manually identify and confirm the mixed image, the defect magnetic marks identified by human eyes of the identification result of the system are combined and interacted,
in another optional embodiment of the present application, the system further includes a verification module, and after the manual magnetic mark screening is performed on the mixed image displayed by the display unit, the mark of the image marking module 6 is corrected according to the manual screening result. Based on the result of human eye recognition, the evaluation result of the system is finally checked, so that the system continuously learns the screening capability, accumulates a large amount of stored screening image data after a period of time, corrects the screening standard of the system, finally enables the system to accurately recognize the defect magnetic marks, and truly realizes the 'human-based' effect.
In a further alternative embodiment of the present application, the image acquisition device 1 is a CCD camera.
In another alternative embodiment of the present application, the evaluation module 5 has a magnetic particle inspection standard test piece identification function to identify the sharpness of the magnetic particle inspection standard test piece. Judging whether the workpiece to be screened in the field of view is magnetized or not through the magnetic powder inspection standard test piece, specifically, judging whether the workpiece to be screened is magnetized or not through the magnetic powder inspection standard test piece, if the test piece is not clear, judging that the workpiece to be screened is not magnetized or the magnetization degree is insufficient, and evaluating the magnetic marks of the defects of the workpiece at the moment.
In another alternative embodiment of the present application, a method for discriminating a magnetic mark of a turning tool mark as a false magnetic mark is provided, the method comprising:
step S1, placing a workpiece to be screened in magnetic powder inspection equipment, and determining a view field range capable of displaying magnetic mark stacking morphology;
s2, carrying out real image acquisition on the magnetic mark accumulation morphology by utilizing the field of view range of the image acquisition equipment 1 over against the magnetic particle inspection equipment;
step S3, a plurality of screening images with magnetic mark accumulation morphology are stored in the database 7, and the magnetic mark evaluation of the screening images is marked;
step S4, the virtual image and the discrimination image are mixed one by one through the AR module 3 to form a mixed image;
s5, comparing the coincidence ratio of the virtual image and the discrimination image in the mixed image through the evaluation module 5, discriminating magnetic marks in the real image according to the comparison result, and outputting an evaluation result;
and S6, marking the evaluation result of the real image screened by the evaluation module 5 through the image marking module 6, and storing the marked real image into the database 7.
Specifically, in step 1, the workpiece to be screened needs to be processed, and the processing technology includes: pretreatment: the preprocessing range must be greater than the field of view range; the surface to be screened of the workpiece is cleaned, dried, and free of grease, rust, sediment, oxide skin, welding flux and welding spatter; if the coating is used, the coating and the flaw detection sensitivity are affected, the coating must be removed and cleaned, all the work of carrying out magnetic powder flaw detection must be cleaned, and after the appearance inspection is qualified, flaw detection can be carried out. Magnetization: when the test piece is magnetized, the magnetization time of the applied magnetic powder, the required magnetic field direction and the required magnetic field intensity are determined according to the magnetism, the shape, the size, the surface condition, the defect property and the like of the test piece, and the test is carried out by using a magnetic powder inspection standard test piece after the test piece is magnetized. Applying magnetic powder or a magnetic suspension: the magnetic powder or the magnetic suspension is applied by adopting a continuous method, and after the magnetic suspension or the magnetic powder is stopped being applied for 1 second, the magnetization can be stopped (power-off). And after finishing the treatment process, carrying out magnetic mark screening, demagnetizing the workpiece to be screened, and marking and recording the workpiece to be screened according to the evaluation result.
In another alternative embodiment of the present application, the AR module 3 is correspondingly connected with a display unit to display the mixed image. In this embodiment, the method further includes step S7, after the verification module performs manual magnetic mark screening on the mixed image displayed by the display unit, the mark of the image marking module 6 is corrected according to the manual screening result. Based on the result of human eye recognition, the evaluation result of the system is finally checked, so that the system continuously learns the screening capability, accumulates a large amount of stored screening image data after a period of time, corrects the screening standard of the system, finally enables the system to accurately recognize the defect magnetic marks, and truly realizes the 'human-based' effect.
The method for discriminating the artificial magnetic marks comprises the following steps: 1. and (5) carrying out naked eye inspection again to confirm the turning tool mark. 2. And after the magnetic marks of the car knife marks are rinsed again, observing, and avoiding the magnetic marks. 3. And (5) performing penetration flaw detection to verify magnetic marks and have no defects. The magnetic mark verification result of the lathe tool mark can be used for clearly confirming that the magnetic mark of the lathe tool mark is a false magnetic mark, the judgment method is used for controlling and clearly judging factors of the magnetic mark of the lathe tool mark one by one, reducing human factors, standardizing screening conditions, improving quality control of magnetic powder detection, improving quality supervision and inspection, ensuring consistency of judgment and execution of the magnetic mark after the fluorescent magnetic powder detection is subjected to the lathe processing, and ensuring standardization of magnetic powder detection work. In the method, only the turning tool mark is discriminated, and no crack, scribe line and the like are discriminated.
In a further alternative embodiment of the present application, the image acquisition device 1 is a CCD camera.
In another alternative embodiment of the present application, the evaluation module 5 has a magnetic particle inspection standard test piece identification function to identify the sharpness of the magnetic particle inspection standard test piece.
Specifically, the database 7 is also provided with screening condition data for screening whether the test piece definition, the magnetic mark definition and the like meet the screening requirements; the discrimination condition data are test piece images or magnetic mark images with different definitions, the evaluation module 5 firstly compares the test piece or magnetic mark images acquired by the image acquisition equipment 1 with the discrimination condition data in the database 7, when the definition meets the discrimination requirement, the evaluation module 5 further carries out false magnetic mark discrimination, otherwise, the false magnetic mark discrimination is not carried out and prompt information is output.
The invention can eliminate different factors of experience difference judging results between people, can analyze and compare the magnetic mark morphology and size of the tool mark of the vehicle, and has higher detection efficiency.
In another alternative embodiment of the present application, 2 long round steel bars (with the specification Φ120 mm) +1 square steel (240 mm×240 mm) are selected as the workpieces to be screened, the length is 6 m, the surfaces are machined by uniform turning, turning marks are formed, the 1# workpiece long round steel bar has long surface cracks, the 2# long round steel bar workpiece has no surface cracks, and the 3# square steel workpiece has no surface cracks. The criteria for screening and analyzing the magnetic marks are shown in the following table:
according to the magnetic powder inspection standard, the following steps are provided: the false magnetic marks and the irrelevant magnetic marks are judged to be qualified products of the magnetic powder inspection, and the relevant magnetic marks are judged to be unqualified products of the magnetic powder inspection; when the discrimination is carried out, the coincidence ratio of the real image after the feature extraction and the discrimination image in the database reaches more than 80 percent, and the marker of the discrimination image can be output as an output result.
In summary, the invention provides a system and a method for discriminating a turning tool mark magnetic mark as a false magnetic mark, which are based on the AR technology, wherein a virtual mixed image generated by mixing a real magnetic mark high-definition image and a discrimination image with an evaluation mark, which are taken by an image acquisition device 1, is utilized to compare the defect magnetic mark, and the magnetic mark evaluation result is automatically output, so that different factors of experience difference between people can be eliminated, analysis comparison and classification judgment can be carried out on the magnetic mark shape and size of the turning tool mark, and the detection efficiency is higher.
The foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the particular embodiments disclosed, but on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the invention as defined by the appended claims.
Claims (6)
1. A system for discriminating a magnetic mark of a turning tool mark as a false magnetic mark, the system comprising:
the magnetic powder inspection equipment is used for carrying out surface magnetic powder inspection on the workpiece to be screened and has a field of view range for displaying the magnetic mark stacking morphology;
the image acquisition equipment is opposite to the field of view range of the magnetic particle inspection equipment and is used for carrying out real image acquisition on the magnetic mark accumulation morphology;
the image processing module is used for extracting magnetic mark characteristics of the real image acquired by the image acquisition equipment to obtain a virtual image;
the database is stored with a plurality of screening images with magnetic mark accumulation morphology, and marks the magnetic mark evaluation of the screening images;
the AR module is used for carrying out mixing processing on the virtual image and the discrimination image one by one so as to form a mixed image; the AR module is correspondingly connected with a display unit so as to display the mixed image;
the evaluation module is used for comparing the coincidence ratio of the virtual image and the discrimination image in the mixed image, discriminating the magnetic marks in the real image according to the comparison result and outputting an evaluation result; the image marking module marks the evaluation result of the real image screened by the evaluation module;
the verification module corrects the mark of the image marking module according to the manual discrimination result after the manual magnetic mark discrimination is carried out on the mixed image displayed by the display unit;
the image marking module stores the marked real image into the database so as to improve the accuracy of the evaluation module in identifying the defect magnetic marks.
2. The system for identifying car-knife marks as false magnetic marks according to claim 1, wherein the image acquisition device is a CCD camera.
3. The system for discriminating false magnetic marks as defined in claim 1, wherein the evaluation module has a magnetic powder inspection standard test piece recognition function for recognizing the sharpness of the magnetic powder inspection standard test piece.
4. A method for discriminating a magnetic mark of a turning tool as a false magnetic mark, the method comprising:
step S1, placing a workpiece to be screened in magnetic powder inspection equipment, and determining a view field range capable of displaying magnetic mark stacking morphology;
s2, carrying out real image acquisition on the magnetic mark accumulation morphology by utilizing an image acquisition device to be opposite to the field of view range of the magnetic particle inspection device;
step S3, a plurality of screening images with magnetic mark accumulation morphology are stored in a database, and the magnetic mark evaluation of the screening images is marked;
s4, carrying out mixed processing on the virtual image and the discrimination image one by one through an AR module so as to form a mixed image; the AR module is correspondingly connected with a display unit so as to display the mixed image;
s5, comparing the coincidence ratio of the virtual image and the discrimination image in the mixed image through an evaluation module, discriminating magnetic marks in the real image according to the comparison result, and outputting an evaluation result;
s6, marking the evaluation result of the real image screened by the evaluation module through an image marking module, and storing the marked real image as a new screened image into the database;
and S7, after the verification module performs manual magnetic mark screening on the mixed image displayed by the display unit, correcting the mark of the image marking module according to a manual screening result.
5. The method for discriminating a turning tool mark as false magnetic mark as defined in claim 4, wherein said image capturing device is a CCD camera.
6. The method for identifying lathe tool mark as false magnetic mark according to claim 4, wherein the evaluation module has a magnetic powder inspection standard test piece identification function to identify the definition of the magnetic powder inspection standard test piece.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110821345.3A CN113406189B (en) | 2021-07-20 | 2021-07-20 | System and method for discriminating magnetic marks of turning tool marks as false magnetic marks |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110821345.3A CN113406189B (en) | 2021-07-20 | 2021-07-20 | System and method for discriminating magnetic marks of turning tool marks as false magnetic marks |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113406189A CN113406189A (en) | 2021-09-17 |
| CN113406189B true CN113406189B (en) | 2024-02-06 |
Family
ID=77687101
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110821345.3A Active CN113406189B (en) | 2021-07-20 | 2021-07-20 | System and method for discriminating magnetic marks of turning tool marks as false magnetic marks |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113406189B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102590330A (en) * | 2011-12-29 | 2012-07-18 | 南京理工大学常熟研究院有限公司 | Image processing-based magnetic particle inspection defect intelligent identification detection system |
| CN107238657A (en) * | 2017-06-06 | 2017-10-10 | 北京博力加机电技术有限公司 | Railway wheel shaft automation imaging magnaflux and method |
| CN107271538A (en) * | 2017-05-17 | 2017-10-20 | 西南科技大学 | Full-automatic column ferromagnetic workpiece fluorescentmagnetic particle(powder) nondestructive inspection system |
| CN206788106U (en) * | 2017-06-06 | 2017-12-22 | 中国铁路总公司 | Railway wheel shaft automation imaging magnaflux |
| CN110658255A (en) * | 2019-09-20 | 2020-01-07 | 郭鸿波 | Magnetic powder detection method based on physical mode |
| CN111398411A (en) * | 2020-04-28 | 2020-07-10 | 秦皇岛市盛通无损检测有限责任公司 | Magnetic automatic check out system |
-
2021
- 2021-07-20 CN CN202110821345.3A patent/CN113406189B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102590330A (en) * | 2011-12-29 | 2012-07-18 | 南京理工大学常熟研究院有限公司 | Image processing-based magnetic particle inspection defect intelligent identification detection system |
| CN107271538A (en) * | 2017-05-17 | 2017-10-20 | 西南科技大学 | Full-automatic column ferromagnetic workpiece fluorescentmagnetic particle(powder) nondestructive inspection system |
| CN107238657A (en) * | 2017-06-06 | 2017-10-10 | 北京博力加机电技术有限公司 | Railway wheel shaft automation imaging magnaflux and method |
| CN206788106U (en) * | 2017-06-06 | 2017-12-22 | 中国铁路总公司 | Railway wheel shaft automation imaging magnaflux |
| CN110658255A (en) * | 2019-09-20 | 2020-01-07 | 郭鸿波 | Magnetic powder detection method based on physical mode |
| CN111398411A (en) * | 2020-04-28 | 2020-07-10 | 秦皇岛市盛通无损检测有限责任公司 | Magnetic automatic check out system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113406189A (en) | 2021-09-17 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109859177B (en) | Deep learning-based industrial ray image evaluation method and device | |
| CA2986537C (en) | Method of inspecting a steel strip | |
| CN106934801A (en) | A kind of fluorescentmagnetic particle(powder) defect inspection method based on Laws texture filterings | |
| CN107145896A (en) | Dysnusia identifying system based on fluorescentmagnetic particle(powder) | |
| CN111462056B (en) | Workpiece surface defect detection method, device, equipment and storage medium | |
| CN108776966A (en) | A kind of method and system of magnet appearance defect detection | |
| CN113406189B (en) | System and method for discriminating magnetic marks of turning tool marks as false magnetic marks | |
| US20210223150A1 (en) | Hole expansion ratio testing device, hole expansion ratio testing method, and operating program | |
| CN111738991A (en) | Method for creating digital ray detection model of weld defects | |
| Murakami | Image processing for non-destructive testing | |
| Kaur et al. | Characterization of LF and LMA signal of Wire Rope Tester. | |
| JPH07333197A (en) | Automatic surface flaw detector | |
| JPH09210969A (en) | Automatic magnetic particle inspection device | |
| Aoki et al. | Intelligent image processing for abstraction and discrimination of defect image in radiographic film | |
| Wang et al. | Current status and prospect of roller bearing surface defect detection | |
| CN114494103A (en) | Defect detection method and device | |
| WO2020130786A1 (en) | A method of analyzing visual inspection image of a substrate for corrosion determination | |
| CN117495846B (en) | Image detection method, device, electronic equipment and storage medium | |
| CN111539933B (en) | Direct-insert element detection method and system | |
| JPH0337564A (en) | Automatic magnetic-particle examination apparatus | |
| Candra et al. | Computer Vision Implementation in Scratch Inspection and Color Detection on The Car Roof Surface | |
| Vázquez et al. | Enhanced vision algorithm for concurrent assessment of Identification Marks for glass manufacturing | |
| CN114518404A (en) | Magnetic powder-based workpiece visual detection and analysis method and device | |
| JP2682112B2 (en) | Automatic magnetic particle flaw detector | |
| Koskinen et al. | Automated quality classification of wooden parts for flexible manufacturing |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |