CN107024478A - A kind of part processes automatic defect identifying system - Google Patents
A kind of part processes automatic defect identifying system Download PDFInfo
- Publication number
- CN107024478A CN107024478A CN201710218012.5A CN201710218012A CN107024478A CN 107024478 A CN107024478 A CN 107024478A CN 201710218012 A CN201710218012 A CN 201710218012A CN 107024478 A CN107024478 A CN 107024478A
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- defect
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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
- G01N21/8851—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
- G01N21/8851—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
- G01N2021/8887—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 based on image processing techniques
Abstract
The present invention discloses a kind of part processing automatic defect identifying system, including optical unit, data conversion unit and Centralized Monitoring unit；The optical unit, is connected with data conversion unit and Centralized Monitoring unit respectively, the image information for gathering part, and brightness, ratio and angle are adjusted according to the image of collection；The data conversion unit, is connected with Centralized Monitoring unit, and the part image information for will be gathered in optical unit carries out data conversion, and the data of conversion and the zero defect accessory size of storage are contrasted；The Centralized Monitoring unit, is monitored for the defect to some parts.Provided by the present invention for processing part automatic defect identifying system, it can automatically recognize and judge that part whether there is defect, complete the automatic screening of part production line, and then reduce the generation of defect, improve the qualification rate of part, production cost is reduced, meanwhile, the problem of substantially reducing the low task amount manually detected, efficiency and low accuracy.
Description
Technical field
The invention belongs to technical field of automation, it is related to a kind of part processing automatic defect identifying system.
Background technology
With the constantly development of science and technology, the integrated levels of various high-tech products also more and more higher, the quality of part
The quality and performance of part product are directly affected with the completion quality of machining process, in order to ensure the part matter after processing
Amount is, it is necessary to which the defect to the part after processing is identified.
Due to everyone during the method that traditional part defect identification often uses manual identified, manual identified
Eyesight is different, causes the defect level of the part of everyone detection also different；Detection person exists individual during detection simultaneously
People's subjectivity idea, causes underproof part in the part of detection to be allocated into qualified parts, and qualified part is by respectively extremely
In rejected part, need to carry out defects detection to part again to improve the accuracy of piece test, occur detection limit it is big,
The problem of low one-level testing cost of efficiency is high, hinders the progress of processing part significantly.
In order to reduce the produced problem of artificial screening, a kind of automatic detection part defect system is now designed, is greatly improved
The detection efficiency of part defect.
The content of the invention
Automatic defect identifying system is processed it is an object of the invention to provide a kind of part, traditional part defect inspection is solved
During survey, there is the problem of big detection workload, low detection efficiency and low degree of accuracy.
The purpose of the present invention can be achieved through the following technical solutions：
A kind of part processes automatic defect identifying system, including optical unit, data conversion unit and Centralized Monitoring unit；
The optical unit, is connected with data conversion unit and Centralized Monitoring unit respectively, the image for gathering part
Information, and brightness, ratio and angle are adjusted according to the image of collection；
The data conversion unit, is connected with Centralized Monitoring unit, for the part image gathered in optical unit to be believed
Breath carries out data conversion, and the data of conversion and the zero defect accessory size of storage are contrasted；
The Centralized Monitoring unit, is monitored for the defect to some parts.
Further, the optical unit includes image capture module, brightness acquisition module, image storage module and processing
Module, described image acquisition module is used for the collection that view data is carried out to part；The brightness acquisition module is used for part
The scene of IMAQ carries out brightness collection；The luminance adjustment module is used to adjust the monochrome information during shooting of part；Institute
State image storage module be used for store gather part image information；The processing module is used to carry out the image information of reception
Identification.
Further, the optical unit also includes luminance adjustment module, proportion adjustment module, angular adjustment module, institute
The monochrome information that luminance adjustment module is stated when being used to adjust part collection；The proportion adjustment module is used for the size according to part
The magnification ratio that information regulation part is taken pictures；The angular adjustment module is used to the angle of shooting is adjusted.
Further, the data conversion unit includes image analysis module, view data conversion module, part modeling mould
Block, components database, contrast module and flaw labeling module, described image analysis module are used to carry out the image information of reception
Analysis；Described image data conversion module is used for image, ratio and angle information according to collection part, calculates the chi of part
Very little information；The part modeling module is used for the dimension model for setting up part, and the size of part is labeled；The part
Database is used to store the size of various zero defect parts；The contrast module is used for set up part modeling module
Accessory size is compared with the accessory size stored in components database；The flaw labeling module is used for the part to defect
It is marked.
Further, the Centralized Monitoring unit includes display module, defect sort module and ratio of defects statistical module, institute
State display module be used for show detection part with contrast part image；The defect sort module is used for the defect to part
Classified；The ratio of defects statistical module is accounted for for being added up to defective part, and calculating defective part
The ratio of all parts.
Beneficial effects of the present invention：
Provided by the present invention for processing part automatic defect identifying system, applied to part defect identification technology neck
Domain, IMAQ is carried out to processing part by optical unit, and by adjusting the angle, brightness and the ratio that shoot, realization pair
The clear collection of part image, the characteristics of with simple in construction, easy to operate and automatic identification image；By gathering part image
Information, and the size and model of part are built according to the part image information of collection so that the part of detection and contrast
Part is compared, and can effectively judge the defect problem of part；Pass through defect problem of the Centralized Monitoring unit to part
It is monitored, defect problem and part defect rate size convenient and that intuitively show part, the invention whole process are automatic
Identification and judge part whether there is defect, complete part production line automatic screening, and then reduce defect generation, improve
The qualification rate of part, reduces production cost, meanwhile, substantially reduce that the task amount manually detected, efficiency are low and accuracy is low asks
Topic.
Brief description of the drawings
In order to illustrate the technical solution of the embodiments of the present invention more clearly, used required for being described below to embodiment
Accompanying drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the present invention, for ability
For the those of ordinary skill of domain, on the premise of not paying creative work, it can also be obtained according to these accompanying drawings other attached
Figure.
Fig. 1 is a kind of part processing automatic defect identifying system schematic diagram of the invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.It is based on
Embodiment in the present invention, it is all other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of protection of the invention.
Refer to shown in Fig. 1, the present invention processes automatic defect identifying system, including optical unit 1, data for a kind of part
Conversion unit 2 and Centralized Monitoring unit 3；
Optical unit 1 includes image capture module 11, brightness acquisition module 12, luminance adjustment module 13, proportion adjustment mould
Block 14, angular adjustment module 15, image storage module 16 and processing module 17, processing module 17 respectively with image capture module
11st, brightness acquisition module 12, luminance adjustment module 13, proportion adjustment module 14, angular adjustment module 15 and image storage module
16 connections, image capture module 11 is used for the collection that view data is carried out to part, and collection parts information is sent to processing
Module 17；Brightness acquisition module 12 is used to carry out the scene that part image is gathered brightness collection, and the monochrome information of collection is sent
To processing module 17；Luminance adjustment module 13 is used to adjust the monochrome information during shooting of part, wherein by adjusting exposure journey
Spend to adjust the brightness of shooting；Proportion adjustment module 14 is used to adjust the amplification ratio that part is taken pictures according to the dimension information of part
Example；Angular adjustment module 15 is used to the angle of shooting is adjusted, and drives image capture module 11 to be rotated by rotating shaft,
Realize the regulation to shooting angle；Image storage module 16 is used to store the part image information shot；Processing module 17 is used for
Image information to reception is identified, and the angle and definition to shooting image are identified, and then realizes to brightness regulation
The control of 13 pieces of mould, proportion adjustment module 14 and angular adjustment module 15.
Data conversion unit 2 is used to carry out data conversion to the part image information of collection, and wherein data conversion unit 2 is wrapped
Include image analysis module 21, view data conversion module 22, part modeling module 23, components database 24, the and of contrast module 25
Flaw labeling module 26, image analysis module 21 is used to analyze the image information of reception, according to the graphical analysis of collection
The composition of part and corresponding line information；View data conversion module 22 is used for image, ratio and angle according to collection part
Information is spent, the dimension information of part is calculated；Part modeling module 23 is used for the dimension model for setting up part, and to the chi of part
It is very little to be labeled；Components database 24 is used to store the size of various zero defect parts；Contrast module 25 is used for zero
The accessory size that part modeling module 23 is set up is compared with the accessory size stored in components database 24, and then judges this
Whether part has defect；Flaw labeling module 26 is used to the part of defect is marked, and is easy to personnel to defective part
Reject；
In the process, the processing module 17 in optical unit 1 sends the image information of collection to Centralized Monitoring unit
3, meanwhile, part modeling module 23 sends the design of part and size marking of foundation to Centralized Monitoring in data conversion unit 2
Image after unit 3, the part modeling of contrast module 25 and complete part carry out analysis contrast, and by the result of contrast send to
Centralized Monitoring unit 3, Centralized Monitoring unit 3 is used for the part defect for showing detection.
Centralized Monitoring unit 3 includes display module 31, defect sort module 32 and ratio of defects statistical module 33, display module
31 are used for the image for the part and contrast part for showing detection, and to detecting that the defect of part is amplified；Defect classification mould
Block 32 is used to classify to the defect of part, and wherein the defect of part includes length defect, angle defect and crack defect etc.；
Ratio of defects statistical module 33 is used to add up defective part, and calculates the ratio that defective part accounts for all parts
Example.
Part is in optical unit 1, and the information of the collection image of image capture module 11 is to processing module 17, processing module 17
Part image information to reception is identified, if processing module 17 is located according to the image information None- identified part of detection
Reason module 17 sends control instruction to luminance adjustment module 13, proportion adjustment module 14 and angular adjustment module 15 respectively, until
The image of 17 pairs of collections of processing module can clearly be identified, and processing module 17 sends the image information of processing to data
The part images of 21 pairs of image analysis module collection in conversion unit 2, data conversion unit are analyzed, and by the knot of analysis
Fruit is sent to view data conversion module 22, and the part image of view data conversion module 22 is converted into corresponding size, herein mistake
Cheng Zhong, part model is set up according to the accessory size of detection so that the part of detection is compared with contrast part, and then clear
Ground understands the defect problem that part is present.
Provided by the present invention for processing part automatic defect identifying system, applied to part defect identification technology neck
Domain, IMAQ is carried out to processing part by optical unit, and by adjusting the angle, brightness and the ratio that shoot, realization pair
The clear collection of part image, the characteristics of with simple in construction, easy to operate and automatic identification image；By gathering part image
Information, and the size and model of part are built according to the part image information of collection so that the part of detection and contrast
Part is compared, and can effectively judge the defect problem of part；Pass through defect problem of the Centralized Monitoring unit to part
It is monitored, defect problem and part defect rate size convenient and that intuitively show part, the invention whole process are automatic
Identification and judge part whether there is defect, complete part production line automatic screening, and then reduce defect generation, improve
The qualification rate of part, reduces production cost, meanwhile, substantially reduce that the task amount manually detected, efficiency are low and accuracy is low asks
Topic.
Above content is only the design example and explanation to the present invention, affiliated those skilled in the art
Various modifications or supplement are made to described specific embodiment or is substituted using similar mode, without departing from invention
Design or surmount scope defined in the claims, protection scope of the present invention all should be belonged to.
Claims (5)
1. a kind of part processes automatic defect identifying system, it is characterised in that：Including optical unit (1), data conversion unit (2)
With Centralized Monitoring unit (3)；
The optical unit (1), is connected with data conversion unit (2) and Centralized Monitoring unit (3), for gathering part respectively
Image information, and brightness, ratio and angle are adjusted according to the image of collection；
The data conversion unit (1), is connected with Centralized Monitoring unit (3), for the part drawing that will be gathered in optical unit (1)
Contrasted as information progress data conversion, and by the data of conversion and the zero defect accessory size stored；
The Centralized Monitoring unit (3), is monitored for the defect to some parts.
2. a kind of part processing automatic defect identifying system according to claim 1, it is characterised in that：The optical unit
(1) image capture module (11), brightness acquisition module (12), image storage module (16) and processing module (17) are included, it is described
Image capture module (11) is used for the collection that view data is carried out to part；The brightness acquisition module (12) is used for part drawing
As the scene of collection carries out brightness collection；The luminance adjustment module (13) is used to adjust the monochrome information during shooting of part；
Described image memory module (16) is used for the part image information for storing collection；The processing module (17) is used for the figure to reception
As information is identified.
3. a kind of part processing automatic defect identifying system according to claim 2, it is characterised in that：The optical unit
(1) luminance adjustment module (13), proportion adjustment module (14), angular adjustment module (15), the luminance adjustment module are also included
(13) it is used to adjust monochrome information during part collection；The proportion adjustment module (14) is used to be adjusted according to the dimension information of part
The magnification ratio that section part is taken pictures；The angular adjustment module (15) is used to the angle of shooting is adjusted.
4. a kind of part processing automatic defect identifying system according to claim 1, it is characterised in that：The data conversion
Unit (2) includes image analysis module (21), view data conversion module (22), part modeling module (23), components database
(24), contrast module (25) and flaw labeling module (26), described image analysis module (21) are used for the image information to reception
Analyzed；Described image data conversion module (22) is used for image, ratio and angle information according to collection part, calculates
The dimension information of part；The part modeling module (23) is used for the dimension model for setting up part, and the size of part is carried out
Mark；The components database (24) is used to store the size of various zero defect parts；The contrast module (25) is used
It is compared in the accessory size for setting up part modeling module (23) and the accessory size of storage in components database (24)；Institute
Stating flaw labeling module (26) is used to the part of defect is marked.
5. a kind of part processing automatic defect identifying system according to claim 1, it is characterised in that：The Centralized Monitoring
Unit (3) includes display module (31), defect sort module (32) and ratio of defects statistical module (33), the display module (31)
For the image of the part and contrast part that show detection；The defect sort module (32) is used to divide the defect of part
Class；The ratio of defects statistical module (33) accounts for institute for being added up to defective part, and calculating defective part
There is the ratio of part.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201710218012.5A CN107024478A (en) | 2017-04-05 | 2017-04-05 | A kind of part processes automatic defect identifying system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201710218012.5A CN107024478A (en) | 2017-04-05 | 2017-04-05 | A kind of part processes automatic defect identifying system |
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ID=59526663
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| CN201710218012.5A Pending CN107024478A (en) | 2017-04-05 | 2017-04-05 | A kind of part processes automatic defect identifying system |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109564422A (en) * | 2017-07-11 | 2019-04-02 | 科磊股份有限公司 | Tool status monitoring and matching |
| CN109829883A (en) * | 2018-12-19 | 2019-05-31 | 歌尔股份有限公司 | Product quality detection method and device |
| CN110161729A (en) * | 2019-05-17 | 2019-08-23 | 深圳市华星光电半导体显示技术有限公司 | Display panel test method and system |
| CN110188843A (en) * | 2019-05-09 | 2019-08-30 | 上海赫丁格热处理有限公司 | Workpiece quality detection label record system |
| CN110180796A (en) * | 2019-05-09 | 2019-08-30 | 上海赫丁格热处理有限公司 | Intelligent measurement identifying system after small parts impewdance matching |
| CN110459792A (en) * | 2018-05-07 | 2019-11-15 | 通用电气公司 | Quality Monitoring Control System and quality control method for fuel cell manufacturing line |
| CN111951236A (en) * | 2020-07-31 | 2020-11-17 | 深圳市研锐智能科技有限公司 | Intelligent machine vision recognition system |
| CN113359453A (en) * | 2021-06-11 | 2021-09-07 | 刘颖妮 | Part machining device based on artificial intelligence and intelligent workshop system thereof |
| TWI778704B (en) * | 2021-07-12 | 2022-09-21 | 敬鵬工業股份有限公司 | Smart needle preparation review system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109564422B (en) * | 2017-07-11 | 2021-03-09 | 科磊股份有限公司 | Tool condition monitoring and matching |
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| CN110188843B (en) * | 2019-05-09 | 2022-04-08 | 上海赫丁格热处理有限公司 | Workpiece quality detection mark recording system |
| CN110188843A (en) * | 2019-05-09 | 2019-08-30 | 上海赫丁格热处理有限公司 | Workpiece quality detection label record system |
| CN110180796A (en) * | 2019-05-09 | 2019-08-30 | 上海赫丁格热处理有限公司 | Intelligent measurement identifying system after small parts impewdance matching |
| CN110161729B (en) * | 2019-05-17 | 2021-08-03 | 深圳市华星光电半导体显示技术有限公司 | Display panel testing method and system |
| CN110161729A (en) * | 2019-05-17 | 2019-08-23 | 深圳市华星光电半导体显示技术有限公司 | Display panel test method and system |
| CN111951236A (en) * | 2020-07-31 | 2020-11-17 | 深圳市研锐智能科技有限公司 | Intelligent machine vision recognition system |
| CN113359453A (en) * | 2021-06-11 | 2021-09-07 | 刘颖妮 | Part machining device based on artificial intelligence and intelligent workshop system thereof |
| TWI778704B (en) * | 2021-07-12 | 2022-09-21 | 敬鵬工業股份有限公司 | Smart needle preparation review system |
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Application publication date: 20170808 |