CN113686880B - Cutter quality detection device based on vision - Google Patents
Cutter quality detection device based on vision Download PDFInfo
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- CN113686880B CN113686880B CN202111109864.3A CN202111109864A CN113686880B CN 113686880 B CN113686880 B CN 113686880B CN 202111109864 A CN202111109864 A CN 202111109864A CN 113686880 B CN113686880 B CN 113686880B
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- 238000001514 detection method Methods 0.000 title claims abstract description 175
- 238000005299 abrasion Methods 0.000 claims abstract description 32
- 238000000701 chemical imaging Methods 0.000 claims abstract description 21
- 230000007246 mechanism Effects 0.000 claims abstract description 12
- 239000011521 glass Substances 0.000 claims description 51
- 238000003860 storage Methods 0.000 claims description 21
- 238000007790 scraping Methods 0.000 claims description 13
- LFQSCWFLJHTTHZ-UHFFFAOYSA-N Ethanol Chemical compound CCO LFQSCWFLJHTTHZ-UHFFFAOYSA-N 0.000 claims description 12
- 229920000742 Cotton Polymers 0.000 claims description 10
- 238000004140 cleaning Methods 0.000 claims description 10
- 238000003384 imaging method Methods 0.000 claims description 6
- 238000013016 damping Methods 0.000 claims description 4
- 230000005477 standard model Effects 0.000 abstract description 4
- 230000007547 defect Effects 0.000 description 8
- 238000000034 method Methods 0.000 description 7
- 230000000694 effects Effects 0.000 description 5
- 238000011084 recovery Methods 0.000 description 5
- 238000012360 testing method Methods 0.000 description 5
- 239000000428 dust Substances 0.000 description 3
- 238000005498 polishing Methods 0.000 description 3
- 230000015572 biosynthetic process Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000009826 distribution Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000004064 recycling Methods 0.000 description 2
- 206010063385 Intellectualisation Diseases 0.000 description 1
- 125000003158 alcohol group Chemical group 0.000 description 1
- 239000000956 alloy Substances 0.000 description 1
- 229910045601 alloy Inorganic materials 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000005094 computer simulation Methods 0.000 description 1
- 125000004122 cyclic group Chemical group 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
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Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8806—Specially adapted optical and illumination features
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/24—Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/01—Arrangements or apparatus for facilitating the optical investigation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/01—Arrangements or apparatus for facilitating the optical investigation
- G01N21/15—Preventing contamination of the components of the optical system or obstruction of the light path
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/255—Details, e.g. use of specially adapted sources, lighting or optical systems
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
- G01S17/88—Lidar systems specially adapted for specific applications
- G01S17/89—Lidar systems specially adapted for specific applications for mapping or imaging
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/01—Arrangements or apparatus for facilitating the optical investigation
- G01N2021/0106—General arrangement of respective parts
- G01N2021/0112—Apparatus in one mechanical, optical or electronic block
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/01—Arrangements or apparatus for facilitating the optical investigation
- G01N21/15—Preventing contamination of the components of the optical system or obstruction of the light path
- G01N2021/152—Scraping; Brushing; Moving band
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8854—Grading and classifying of flaws
- G01N2021/8867—Grading and classifying of flaws using sequentially two or more inspection runs, e.g. coarse and fine, or detecting then analysing
- G01N2021/887—Grading and classifying of flaws using sequentially two or more inspection runs, e.g. coarse and fine, or detecting then analysing the measurements made in two or more directions, angles, positions
Abstract
The invention relates to the technical field of cutter quality detection, and discloses a cutter quality detection device based on vision, which comprises a detection table, wherein a computer is arranged on one side above the detection table, a detection mechanism is arranged on the other side above the detection table, and the detection mechanism comprises a stepping six-face camera shooting detection assembly, laser abrasion accurate detection and multispectral imaging detection; the detection mechanism further comprises a detection rotary table, a cutter calibration assembly is arranged on one side of the detection rotary table, and the cutter calibration assembly is used for correcting the cutter after the cutter is placed on the detection rotary table. And providing a plurality of groups of six-sided images with different viewpoints through the stepping six-sided camera shooting detection assembly, forming comprehensive observation on the changed viewpoints of the cutter, carrying out three-dimensional reconstruction on the cutter through a computer by the formed images, forming a three-dimensional apparent model of a real cutter, carrying out three-dimensional comparison on the real model and a factory standard model stored in a computer database, finding out differences among the appearance of the models, and judging whether the appearance of the cutter meets the specification.
Description
Technical Field
The invention relates to the technical field of cutter quality detection, in particular to a cutter quality detection device based on vision.
Background
With the rapid development of the digitalized transformation in the manufacturing industry, the digitalization and the intellectualization of various processes in factories are generally improved. However, for expensive alloy tools, digital management tools are also lacking, tool management work generally comprises new tool warehouse entry, storage, distribution and old tool recovery, and currently, the above operations are mainly performed manually, which takes up manpower, has human factors and has an objection evaluation result. The research designs a method for fully-automatic tool quantity counting, tool identification, tool three-dimensional modeling and checking and tool flaw and damage grade estimation, and supports fully-automatic tool management. The invention has important practical value.
Currently, in the link of tool management, manufacturers mainly judge and operate manually according to past experience, and have great ambiguity and therefore bring a low-quality risk. At present, an effective method for realizing the unmanned management target is lacking; in a manual management mode, each workshop needs to occupy 3-4 people/day, and a great deal of manual time is in an idle state. Moreover, the human condition factor is very serious in the production process, and various low-quality risks exist. Even if some machines are adopted to inspect the cutters, because the angles of the cutters are different, when the detection is carried out, the surface defect degree of the cutters can only be simply inspected, the different positions of the cutters and the corners of the cutters can not be detected, the whole defect degree of the cutters can not be judged, and whether the cutter recovery standard is met or not can be judged, so that the cutter detection effect is single, and the detection effect is lower.
Disclosure of Invention
Technical scheme (one)
In order to solve the technical problems, the invention provides the following technical scheme: the utility model provides a cutter quality detection device based on vision, includes the detection table, detection table top one side is provided with the computer, detection table top opposite side is provided with detection mechanism, detection mechanism includes six walking type camera detection subassembly, laser wear accurate detection and multispectral imaging detection; the detection mechanism further comprises a detection rotary table, one side of the detection rotary table is provided with a cutter calibration assembly, and the cutter calibration assembly is used for correcting a cutter after the cutter is placed on the detection rotary table; the six-sided camera shooting detection assembly comprises a six-sided camera shooting detection assembly, a six-sided camera shooting detection assembly and a six-sided camera shooting detection assembly.
Preferably, four glass object placing plates are arranged on the detection rotary table, every two glass object placing plates are uniformly distributed on the detection rotary table in a right angle, a driving motor is arranged at the bottom of the detection rotary table and positioned in the detection table, an output shaft of the driving motor is connected with the bottom of the detection rotary table in a clamping mode, a supporting frame is arranged on the periphery of the detection rotary table, and the bottom of the supporting frame is fixedly connected with the upper surface of the detection table.
Preferably, the step six-sided camera detection assembly is used for acquiring a three-dimensional image of the cutter; the six-sided camera shooting detection assembly comprises a stepping track, a stepping track mounting ring is connected with the supporting frame, the mounting ring is connected with the stepping track in a sliding mode, a stepping motor is mounted on one side outside the mounting ring, a main gear is arranged at the output end of the stepping motor, a driven gear is arranged on the outer side of the bottom of the stepping track, the main gear is meshed with the driven gear, and a connecting clamping ring is arranged on the inner side of the stepping track.
Preferably, the six-sided camera detection assembly further comprises six cameras, two cameras are located right below the glass storage plate and mounted on the support frame, a connecting clamping ring is also arranged on the support frame, four cameras are mounted on the connecting clamping ring on the inner side of the stepping track respectively, and a connecting piece is arranged at the tail of each camera and connected with the corresponding connecting clamping ring in a damping mode.
Preferably, the laser abrasion accurate detection is used for accurately acquiring the abrasion degree of the cutter; the laser abrasion accurate detection comprises a laser radar scanner, wherein the laser radar scanner is installed on the supporting frame and is positioned right above the glass storage plate behind the stepping six-face camera shooting detection assembly.
Preferably, the multispectral imaging detection detects flaws in the tool by imaging differences; the multispectral imaging detection comprises a multispectral camera, wherein the multispectral camera is installed on the supporting frame, and the multispectral camera is positioned right above the glass object placing plate behind the laser abrasion accurate detection.
Preferably, the cutter calibration assembly comprises a first pushing cylinder, wherein the first pushing cylinder is located on the support frame, and the output end of the first pushing cylinder is arranged towards the cutter placement position.
Preferably, the tool calibration assembly further comprises a second pushing cylinder, the second pushing cylinder is connected with the supporting frame through a mounting rod, the second pushing cylinder is located right opposite to the first pushing cylinder and is arranged in a mirror image mode with the first pushing cylinder, a V-shaped pushing block is arranged at the output end of the first pushing cylinder, and a vertical pushing plate is arranged at the output end of the second pushing cylinder.
Preferably, the cleaning assembly comprises a supporting pile, the upper end and the lower end of the supporting pile are respectively connected with a transverse plate, rubber scraping strips are respectively arranged on opposite surfaces of the transverse plates, alcohol cotton plates are arranged at the front ends of the rubber scraping strips, and the rubber scraping strips and the alcohol cotton plates on two sides are respectively attached to the upper surface and the lower surface of the glass storage plate.
(II) advantageous effects
Compared with the prior art, the invention provides a vision-based cutter quality detection device, which has the following beneficial effects:
1. according to the vision-based cutter quality detection device, a plurality of groups of six-sided images with different viewpoints are provided through the stepping six-sided camera shooting detection assembly, comprehensive observation on the changing viewpoints of the cutter is formed, the formed images are used for carrying out three-dimensional reconstruction on the cutter through a computer to form a three-dimensional apparent model of a real cutter, the real model is subjected to three-dimensional comparison with a factory standard model stored in a computer database, the difference between the appearance of the model can be found, and whether the appearance of the cutter accords with the specification is judged.
2. The vision-based tool quality detection device models and measures the three-dimensional geometric structure of the tool through accurate detection of laser abrasion, is used for geometric comparison with a model in a computer model library, ensures that the tools in and out of the library are designated tools, and in addition, when the tools are recovered, the method is used for judging the abrasion degree of the tools, so that the tools with abrasion less than the rated percentage can be set in a computer to be recovered, and conversely, the recovery is refused.
3. This cutter quality detection device based on vision detects the flaw position through multispectral formation of image difference characteristic to carry in the computer and analyze, then according to the six data that detect subassembly and laser abrasion accurate detection obtained of marching type, and the flaw that multispectral formation of image detection detected, calculate flaw size and position through the computer, evaluate its flaw grade, the original data of storing in the comprehensive computer, with flaw kind, size, position, information such as cutter kind compares, judge the influence level of flaw to the cutter, thereby judge whether the cutter is usable, or whether have the multiplexing value of retrieving polishing.
4. This cutter quality detection device based on vision just puts into the cutter that waits to detect on to cutter placement department through the first pushing cylinder in the cutter calibration subassembly, advance to glass placement board middle part, the second pushing cylinder sets up in cutter placement department opposite side, promote the cutter to glass placement board middle part impel to the angle on the V type ejector pad pushing tool of first pushing cylinder output, the perpendicular push pedal of cooperation second pushing cylinder output promotes the face of cutter at the opposite side again, make every cutter all can be located glass placement board with the same angle and position, and then conveniently cooperate subsequent check out test set to detect it.
5. This cutter quality detection device based on vision cleans the upper and lower face of glass thing board through the cotton board of alcohol in the clearance subassembly to wipe the upper and lower face unnecessary alcohol trace of glass thing board of putting through the rubber strip of scraping, make the glass put debris such as dust on the upper and lower face of thing board, guarantee the accuracy that follow-up cutter detected.
Drawings
FIG. 1 is a schematic overall perspective view of the present invention;
FIG. 2 is a schematic perspective view of a portion of a testing turret according to the present invention;
FIG. 3 is a schematic diagram of a front plan view of a portion of a inspection turret according to the present invention;
FIG. 4 is a schematic diagram of a distribution structure of a step six-sided camera detection assembly according to the present invention;
FIG. 5 is a schematic view of the structure of the present invention shown in FIG. 4 at a partially enlarged scale;
FIG. 6 is a schematic view of a partially enlarged structure of the present invention at B of FIG. 2;
FIG. 7 is a schematic view of a portion of a cleaning assembly according to the present invention.
In the figure: 1. a detection table; 2. a computer; 3. a step six-sided camera detection assembly; 31. a camera; 32. a connecting piece; 4. precisely detecting laser abrasion; 41. a laser radar scanner; 5. multispectral imaging detection; 51. a multispectral camera; 6. detecting a turntable; 61. a glass object placing plate; 62. a driving motor; 63. a support frame; 7. a tool calibration assembly; 71. a cutter placing position; 72. a first pushing cylinder; 73. a second pushing cylinder; 74. a mounting rod; 75. v-shaped pushing blocks; 76. a vertical push plate; 8. cleaning the assembly; 81. supporting piles; 82. a cross plate; 83. a rubber scraping strip; 84. alcohol cotton board; 9. a step track; 91. a mounting ring; 92. a stepping motor; 93. a main gear; 94. a driven gear; 95. and a clamping ring is connected.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-7, a vision-based tool quality detection device comprises a detection table 1, wherein a computer 2 is arranged on one side above the detection table 1, a detection mechanism is arranged on the other side above the detection table 1, and the detection mechanism comprises a stepping six-face camera shooting detection assembly 3, a laser abrasion accurate detection 4 and a multispectral imaging detection 5; the detection mechanism further comprises a detection rotary table 6, a cutter calibration assembly 7 is arranged on one side of the detection rotary table 6, and the cutter calibration assembly 7 is used for correcting a cutter after the cutter is placed on the detection rotary table 6; the six-sided camera shooting detection assembly 3, the laser abrasion accurate detection assembly 4 and the multispectral imaging detection assembly 5 are respectively and sequentially arranged at the rear of the cutter calibration assembly 7 and all surround the periphery of the detection rotary table 6, and a cleaning assembly 8 is arranged between the tail of the multispectral imaging detection assembly 5 and the cutter calibration assembly 7.
Further, be provided with four glass on the detection revolving stage 6 and put thing board 61, every two glass put thing board 61 and be right angle evenly distributed on detection revolving stage 6, detection revolving stage 6 bottom is provided with driving motor 62, driving motor 62 is located the inside of detecting table 1, driving motor 62 output shaft and detection revolving stage 6 bottom joint, detection revolving stage 6 week side is provided with support frame 63, support frame 63 bottom and detection table 1 upper surface fixed connection, utilize glass to put thing board 61 and be used for placing the cutter, during the detection, check out test set can be through glass to cutter bottom surface detect, simultaneously through every two glass put thing boards 61 and be right angle evenly distributed on detection revolving stage 6, make detection revolving stage 6 under driving motor 62's drive, every glass puts thing board 61 and advance a detection unit when detecting revolving stage 6 and rotate 90, and then realize step-by-step cyclic detection, and fix check out test set up through support frame 63 at detection revolving stage 6 week side, make check out test set distribute in the corresponding position of detection revolving stage 6 week side.
Further, the step six-sided camera detection assembly 3 is used for acquiring a three-dimensional image of the cutter; the stepping six-face camera shooting detection assembly 3 comprises a stepping track 9, a mounting ring 91 of the stepping track 9 is connected with a supporting frame 63, the mounting ring 91 is in sliding connection with the stepping track 9, a stepping motor 92 is arranged on one side outside the mounting ring 91, a main gear 93 is arranged at the output end of the stepping motor 92, a driven gear 94 is arranged on the outer side of the bottom of the stepping track 9, the main gear 93 is meshed with the driven gear 94, a connecting clamping ring 95 is arranged on the inner side of the stepping track 9, and the stepping motor 92 is used for driving the driven gear 94 through the main gear 93 so as to enable the stepping track 9 to rotate in the mounting ring 91;
wherein the sliding connection between the mounting ring 91 and the step track 9 can be connected by means of a bearing pattern.
Further, the step six-sided camera detection assembly 3 further comprises six cameras 31, two cameras 31 are located right below the glass object placing plate 61 and are installed on the support frame 63, a connecting clamping ring 95 is also arranged on the support frame 63, four cameras 31 are respectively installed on the connecting clamping ring 95 at the inner side of the step track 9, a connecting piece 32 is arranged at the tail of each camera 31, the connecting piece 32 is in damping connection with the connecting clamping ring 95, the cameras 31 in the step six-sided camera detection assembly 3 are utilized to carry out damping connection on cutters on the glass object placing plate 61, and under the driving of the step track 9, the cameras 31 at the periphery side above the glass object placing plate 61 stably move along a circular track in a specific step length and are matched with the cameras 31 above and below the glass object placing plate 61, so that a plurality of groups of pictures at different positions are shot, and each group comprises six-sided images;
through the step six-face camera shooting detection assembly 3, a plurality of groups of six-face images with different viewpoints are provided, comprehensive observation on the changing viewpoints of the cutter is formed, the formed images are subjected to three-dimensional reconstruction on the cutter through the computer 2, a three-dimensional apparent model of a real cutter is formed, the real model is subjected to three-dimensional comparison with a factory standard model stored in a database of the computer 2, differences among the appearance of the model can be found, and whether the appearance of the cutter meets specifications is judged.
Further, the laser abrasion accurate detection 4 is used for accurately acquiring the abrasion degree of the cutter; the laser abrasion accurate detection 4 comprises a laser radar scanner 41, the laser radar scanner 41 is arranged on a supporting frame 63, the laser radar scanner 41 is positioned right above a glass object placing plate 61 behind a stepping six-face shooting detection assembly 3, the laser radar scanner 41 in the laser abrasion accurate detection 4 is utilized to measure and model the three-dimensional model of a cutter, geometric states such as length, width, height and the like by using scanning laser layer by layer;
the method is used for modeling and measuring the three-dimensional geometric structure of the cutter and is used for geometric comparison with a model in a model library of the computer 2 to ensure that the cutter which is taken out of and put in storage is a designated cutter, in addition, when the cutter is recovered, the method is used for judging the abrasion degree of the cutter, and the cutter with abrasion less than the rated percentage can be set in the computer 2 to be recovered, and conversely, the recovery is refused.
Further, the multispectral imaging detection 5 detects flaws of the tool through imaging differences; the multispectral imaging detection 5 comprises a multispectral camera 51, the multispectral camera 51 is arranged on a support frame 63, the multispectral camera 51 is positioned right above a glass object placing plate 61 behind the laser abrasion accurate detection 4, the multispectral camera 51 in the multispectral imaging detection 5 is used for shooting a cutter to detect the flaw position of the cutter, automatic detection is needed for the condition that flaws and flaws are arranged on the cutter, and the multispectral flaw detection effect is formed through the characteristic that the images formed by the same flaws under the multispectral irradiation condition have certain difference;
the defect position is detected through multispectral imaging difference characteristics and is transmitted to the computer 2 for analysis, then the defect size and the defect position detected by the multispectral imaging detection 5 are calculated through the computer 2 according to the data obtained by the stepping six-face imaging detection assembly 3 and the laser abrasion accurate detection 4, the defect grade is assessed, the original data stored in the computer 2 are comprehensively compared with the information of the defect type, the size, the position, the cutter type and the like, and the influence grade of the defect on the cutter is judged, so that whether the cutter is available or not is judged, or whether the cutter has recycling and polishing multiplexing values or not is judged.
Further, below the tool calibration assembly 7 is a tool placement part 71, the tool placement part 71 is a tool starting position, the tool calibration assembly 7 includes a first pushing cylinder 72, the first pushing cylinder 72 is located on the support frame 63, an output end of the first pushing cylinder 72 is arranged towards the tool placement part 71, and a tool to be detected is just placed in the tool placement part 71 by using the first pushing cylinder 72 in the tool calibration assembly 7 and pushed toward the middle of the glass placing plate 61.
Further, the tool calibration assembly 7 further comprises a second pushing cylinder 73, the second pushing cylinder 73 is connected with the supporting frame 63 through a mounting rod 74, the second pushing cylinder 73 is located right opposite to the first pushing cylinder 72 and is arranged in a mirror image mode with the first pushing cylinder 72, a V-shaped pushing block 75 is arranged at the output end of the first pushing cylinder 72, a vertical pushing plate 76 is arranged at the output end of the second pushing cylinder 73, the second pushing cylinder 73 is arranged at the other side of the tool placement portion 71, the tools are pushed to the middle of the glass placement plate 61, the V-shaped pushing block 75 at the output end of the first pushing cylinder 72 pushes the angles on the tools, and then the vertical pushing plate 76 at the output end of the second pushing cylinder 73 is matched with the surfaces of the tools on the other side, so that each tool can be located on the glass placement plate 61 at the same angle and position, and further detection equipment can be matched conveniently.
Further, the cleaning assembly 8 comprises a supporting pile 81, the upper end and the lower end of the supporting pile 81 are respectively connected with a transverse plate 82, rubber scraping strips 83 are respectively arranged on opposite surfaces of the transverse plate 82, alcohol cotton plates 84 are arranged at the front ends of the rubber scraping strips 83, the rubber scraping strips 83 and the alcohol cotton plates 84 on two sides are attached to the upper surface and the lower surface of the glass storage plate 61, the upper surface and the lower surface of the glass storage plate 61 are wiped by the alcohol cotton plates 84 in the cleaning assembly 8, redundant alcohol traces on the upper surface and the lower surface of the glass storage plate 61 are erased through the rubber scraping strips 83, sundries such as dust on the upper surface and the lower surface of the glass storage plate 61 are enabled, and the accuracy of subsequent tool detection is guaranteed.
Working principle: when the device is used, the device is started firstly, the operation of the device is controlled by the computer 2, then the cutter is placed on the glass storage plate 61 of the cutter placement position 71, the cutter to be detected is just placed on the cutter placement position 71 by the first pushing cylinder 72 in the cutter calibration assembly 7, the cutter is pushed towards the middle part of the glass storage plate 61, the second pushing cylinder 73 is arranged on the other side of the cutter placement position 71, the cutter is pushed towards the middle part of the glass storage plate 61, the V-shaped pushing block 75 at the output end of the first pushing cylinder 72 pushes the angle on the cutter, and then the vertical pushing plate 76 at the output end of the second pushing cylinder 73 pushes the surface of the cutter at the other side, so that each cutter can be positioned on the glass storage plate 61 at the same angle and position, and further the subsequent detection equipment is convenient to be matched for detecting the cutter;
then, under the drive of a driving motor 62 at the bottom of the detection turntable 6, the detection turntable 6 rotates in a stepping way at an angle of 90 degrees, each glass object placing plate 61 advances by one detection unit when the detection turntable 6 rotates by 90 degrees, so that stepping type circular detection is realized, and detection equipment is fixed through a support frame 63 arranged on the periphery of the detection turntable 6, so that the detection equipment is distributed at the corresponding position on the periphery of the detection turntable 6;
during detection, the cutter firstly detects through the stepping six-face camera detection assembly 3, the stepping motor 92 drives the driven gear 94 through the main gear 93, so that the stepping track 9 rotates in the mounting ring 91, the cutter on the glass object placing plate 61 is driven by the camera 31 in the stepping six-face camera detection assembly 3, the camera 31 on the periphery above the glass object placing plate 61 moves stably along a circular track in a specific step length under the driving of the stepping track 9, and a plurality of groups of pictures of different positions are shot by matching with the camera 31 above and below the glass object placing plate 61, and each group comprises six-face images;
providing a plurality of groups of six-sided images with different viewpoints through a stepping six-sided camera detection assembly 3, forming comprehensive observation on the changed viewpoints of the cutter, carrying out three-dimensional reconstruction on the cutter through a computer 2 on the formed images, forming a three-dimensional apparent model of a real cutter, carrying out three-dimensional comparison on the real model and a factory standard model stored in a database of the computer 2, and judging whether the appearance of the cutter meets the specification or not;
further moving the cutter of the stepping six-face camera shooting detection assembly 3 to a position of precisely detecting the laser abrasion, and measuring and modeling a three-dimensional model of the cutter and geometric states such as length, width, height and the like by using a laser radar scanner 41 in the precisely detecting the laser abrasion 4; the method is used for modeling and measuring the three-dimensional geometric structure of the cutter, is used for geometric comparison with a model in a model library of the computer 2, ensures that the cutter which is taken out of and put in storage is a designated cutter, and is used for judging the abrasion degree of the cutter when the cutter is recovered, so that the cutter with abrasion less than the rated percentage can be set in the computer 2 to be recovered, and conversely, the recovery is refused;
then the cutter which is accurately detected 4 through laser abrasion is further moved to a multispectral imaging detection 5, the multispectral camera 51 in the multispectral imaging detection 5 is utilized to shoot the cutter, the flaw position of the cutter is detected, automatic detection is needed for the condition that flaws and flaws are arranged on the cutter, and the multispectral flaw detection effect is formed through the characteristic that the images formed by the same flaw under the multispectral irradiation condition have certain difference; detecting the position of a flaw through the imaging difference characteristics of multiple spectrums, conveying the flaw to a computer 2 for analysis, then calculating the flaw size and the position of the flaw detected by the multispectral imaging detection 5 according to the data obtained by the stepping six-face imaging detection assembly 3 and the laser abrasion accurate detection 4, evaluating the flaw grade of the flaw through the computer 2, and comparing the original data stored in the computer 2 with the information of the flaw type, the flaw size, the position, the cutter type and the like to judge the influence grade of the flaw on the cutter so as to judge whether the cutter is available or not, or whether the cutter has the value of recycling, polishing and multiplexing;
finally, the cutter moves out of the detection rotary table 6 to enable the glass storage plate 61 to be empty, when the glass storage plate 61 rotates to the cleaning assembly 8, the upper surface and the lower surface of the glass storage plate 61 are wiped by the alcohol cotton plate 84 in the cleaning assembly 8, and redundant alcohol residues on the upper surface and the lower surface of the glass storage plate 61 are erased by the rubber scraping strip 83, so that sundries such as dust on the upper surface and the lower surface of the glass storage plate 61 are ensured, and the accuracy of subsequent cutter detection is ensured.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (1)
1. The utility model provides a cutter quality detection device based on vision, includes detects table (1), detect table (1) top one side and be provided with computer (2), detect table (1) top opposite side and be provided with detection mechanism, its characterized in that: the detection mechanism comprises a stepping six-sided camera shooting detection assembly (3), laser abrasion accurate detection (4) and multispectral imaging detection (5);
the detection mechanism further comprises a detection rotary table (6), a cutter calibration assembly (7) is arranged on one side of the detection rotary table (6), and the cutter calibration assembly (7) is used for correcting a cutter after the cutter is placed on the detection rotary table (6);
the stepping six-face camera shooting detection assembly (3), the laser abrasion accurate detection assembly (4) and the multispectral imaging detection assembly (5) are respectively and sequentially arranged behind the cutter calibration assembly (7) and all surround the periphery of the detection rotary table (6);
a cleaning component (8) is arranged between the tail part of the multispectral imaging detection (5) and the cutter calibration component (7);
four glass object placing plates (61) are arranged on the detection rotary table (6), every two glass object placing plates (61) are uniformly distributed on the detection rotary table (6) at right angles, a driving motor (62) is arranged at the bottom of the detection rotary table (6), the driving motor (62) is positioned in the detection table (1), an output shaft of the driving motor (62) is clamped with the bottom of the detection rotary table (6), a supporting frame (63) is arranged on the periphery of the detection rotary table (6), and the bottom of the supporting frame (63) is fixedly connected with the upper surface of the detection table (1);
the stepping six-face camera shooting detection assembly (3) is used for acquiring a three-dimensional image of the cutter; the six-side stepping camera shooting detection assembly (3) comprises a stepping track (9), a mounting ring (91) of the stepping track (9) is connected with the supporting frame (63), the mounting ring (91) is connected with the stepping track (9) in a sliding mode, a stepping motor (92) is installed on one side outside the mounting ring (91), a main gear (93) is arranged at the output end of the stepping motor (92), a driven gear (94) is arranged on the outer side of the bottom of the stepping track (9), the main gear (93) is meshed with the driven gear (94), and a connecting clamping ring (95) is arranged on the inner side of the stepping track (9).
The six-side stepping camera shooting detection assembly (3) further comprises six cameras (31), two cameras (31) are located right below the glass storage plate (61) and mounted on the support frame (63), a connecting clamping ring (95) is also arranged on the support frame (63), four cameras (31) are respectively mounted on the connecting clamping ring (95) on the inner side of the stepping track (9), a connecting piece (32) is arranged at the tail of each camera (31), and the connecting piece (32) is connected with the connecting clamping ring (95) in a damping mode;
the laser abrasion accurate detection (4) is used for accurately acquiring the abrasion degree of the cutter; the laser abrasion accurate detection (4) comprises a laser radar scanner (41), the laser radar scanner (41) is installed on the supporting frame (63), and the laser radar scanner (41) is positioned right above the glass object placing plate (61) behind the stepping six-face camera shooting detection assembly (3);
the multispectral imaging detection (5) detects flaws of the cutter through imaging differences; the multispectral imaging detection (5) comprises a multispectral camera (51), the multispectral camera (51) is installed on the supporting frame (63), and the multispectral camera (51) is positioned right above the glass object placing plate (61) behind the laser abrasion accurate detection (4);
a cutter placement part (71) is arranged below the cutter calibration assembly (7), the cutter placement part (71) is a cutter starting position, the cutter calibration assembly (7) comprises a first pushing cylinder (72), the first pushing cylinder (72) is positioned on the supporting frame (63), and the output end of the first pushing cylinder (72) is arranged towards the cutter placement part (71);
the cutter calibration assembly (7) further comprises a second pushing cylinder (73), the second pushing cylinder (73) is connected with the supporting frame (63) through a mounting rod (74), the second pushing cylinder (73) is located right opposite to the first pushing cylinder (72) and is arranged in a mirror image mode with the first pushing cylinder (72), a V-shaped pushing block (75) is arranged at the output end of the first pushing cylinder (72), and a vertical pushing plate (76) is arranged at the output end of the second pushing cylinder (73);
the cleaning assembly (8) comprises a supporting pile (81), the upper end and the lower end of the supporting pile (81) are respectively connected with a transverse plate (82), rubber scraping strips (83) are respectively arranged on opposite surfaces of the transverse plates (82), alcohol cotton plates (84) are arranged at the front ends of the rubber scraping strips (83), and the rubber scraping strips (83) and the alcohol cotton plates (84) on two sides are respectively attached to the upper surface and the lower surface of the glass storage plate (61).
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| JP2007278915A (en) * | 2006-04-10 | 2007-10-25 | Tateyama Machine Kk | Device and method for inspecting defect of tool |
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| CN113189001A (en) * | 2021-03-31 | 2021-07-30 | 山东大学 | Shield tunneling machine and method capable of achieving cutter abrasion image detection |
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| JP2007278915A (en) * | 2006-04-10 | 2007-10-25 | Tateyama Machine Kk | Device and method for inspecting defect of tool |
| KR101575691B1 (en) * | 2015-06-15 | 2015-12-08 | 주식회사 윈텍오토메이션 | Hard-metal inserts inspection device |
| CN108931961A (en) * | 2018-07-05 | 2018-12-04 | 西安交通大学 | A kind of monoblock type slotting cutter worn-off damage detection method based on machine vision |
| CN110355607A (en) * | 2019-07-08 | 2019-10-22 | 东莞理工学院 | A kind of vision detection system of the lathe tool state of wear of machining center |
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