CN203365339U - On-line detecting system for surface defect of cold rolling aluminum plate - Google Patents

On-line detecting system for surface defect of cold rolling aluminum plate Download PDF

Info

Publication number
CN203365339U
CN203365339U CN 201320450073 CN201320450073U CN203365339U CN 203365339 U CN203365339 U CN 203365339U CN 201320450073 CN201320450073 CN 201320450073 CN 201320450073 U CN201320450073 U CN 201320450073U CN 203365339 U CN203365339 U CN 203365339U
Authority
CN
China
Prior art keywords
aluminum plate
defect
image
detecting system
line
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.)
Expired - Fee Related
Application number
CN 201320450073
Other languages
Chinese (zh)
Inventor
綦星光
张海伦
李庆华
李晓婷
刘海英
史红娟
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Qilu University of Technology
Original Assignee
Qilu University of Technology
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Qilu University of Technology filed Critical Qilu University of Technology
Priority to CN 201320450073 priority Critical patent/CN203365339U/en
Application granted granted Critical
Publication of CN203365339U publication Critical patent/CN203365339U/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

Links

Images

Landscapes

  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)

Abstract

The utility model relates to the technical field of high-speed detection for a surface defect of an aluminum plate, and particularly discloses an on-line detecting system for the surface defect of a cold rolling aluminum plate. The on-line detecting system comprises an aluminum plate production line and is characterized in that LED light sources and high-speed camera arrays which are arranged side by side horizontally are mounted on both the upper side and the lower side of the aluminum plate production line; each high-speed camera array comprises a plurality of line array CCD (charge coupled device) cameras; each camera is connected to a corresponding ICP (industrial personal computer) processor through a GigE interface; and an Ethernet interface control unit in each ICP processor is connected with a switch through a Gigabit network and then is connected to a central server or a site computer through an Ethernet switch. According to the on-line detecting system for the surface defect of the cold rolling aluminum plate, a defect image is collected rapidly by the aid of the GigE interfaces and the Ethernet connecting line array CCD cameras; and the defect of the aluminum plate is detected and located rapidly through the ICP array processors, and data congestion is effectively prevented.

Description

Cold rolled aluminum surface imperfection on-line detecting system
(1) technical field
The utility model relates to surface of aluminum plate defect high speed detection technical field, particularly a kind of cold rolled aluminum surface imperfection on-line detecting system.
(2) background technology
In recent years, the aluminium processing industry is risen rapidly at home, enterprise product is high-endization gradually, the aluminium sheet of having relatively high expectations for Surface Qualities such as aircraft, automobile, high-end electronic products starts intimately, but the surface of aluminum plate quality problems are very severe, the domestic detection mode of aluminium sheet that is directed at present is mainly by the method for naked eyes manual detection.Naked eyes detect and higher flase drop and loss easily occur, and line speed is more and more faster especially now, and this detection mode is difficult to reach production requirement.
Development along with computing machine and digital image processing techniques, external detection system based on machine vision has obtained use in some Large size Aluminium processing enterprises, although this is miniature, there is defect in the image processing software on single-processor, this detection scheme is unfavorable for realizing at a high speed on the one hand, pinpoint accuracy detects online, introduction cost due to external product is higher on the other hand, in the application of the aluminium processing enterprise of middle and small scale, is restricted.In detection system at these based on machine vision, the core that mostly adopts single PC or flush bonding processor to analyze as defect image, met the requirement that aluminum plate product line detects to a certain extent.But in testing process, all processing operations such as the collection of defect image, pre-service and determining defects are all completed by equipment such as this single-processor coordination cameras, make the processor carriage load larger, once and treatment facility goes wrong, do not have the standby measure to continue to guarantee the carrying out of monitoring, therefore adopt this scheme, be difficult to reach stable, testing requirement and the quality guarantee at a high speed of production line.
(3) summary of the invention
The utility model is in order to make up the deficiencies in the prior art, and a kind of high speed detection, cold rolled aluminum surface imperfection on-line detecting system that accuracy of detection is high are provided.
The utility model is achieved by the following technical solution:
A kind of cold rolled aluminum surface imperfection on-line detecting system, comprise aluminum plate product line, it is characterized in that: the upper and lower both sides of described aluminum plate product line all are equipped with LED light source and horizontal high speed camera array side by side, the high speed camera array is comprised of some route array CCD cameras, each road camera is connected to each self-corresponding industrial computer processor by the GigE interface, Ethernet interface control module in each industrial computer processor is connected to switch by kilomega network, then is connected to central server or on-site computer by Ethernet switch.
The utility model adopts the distributed online aluminium sheet defect detecting system design of high speed camera array and industrial computer array.High-speed image sampling is the primary link of realizing online aluminium sheet defects detection.The present invention adopts the line array CCD network cameras, this type of camera meets GigE Vision standard, using network as output, do not need the optional equipment image pick-up card, only need a PCI-Express just can complete transmission and the reception of data, non-relay transmission range can reach 100 meters, signal stabilization, cpu resource takies few, is enough to guarantee the accurate processing of image.In order to improve the Real-time Collection precision of image, determine to adopt the high speed camera array, one camera gathers the image single row of pixels can reach 4096, can overcome the impact that the site environment noise causes the aluminium sheet real time image collection.
For realizing that the image of high speed camera array Real-time Collection is carried out to fast processing, on the aluminium sheet defect detecting system, adopt many industrial computers to the polyphaser pattern, an industrial computer is as processor, receive only, process the realtime graphic transmitted of two high speed camera arrays, and deal with data is sent to central server or on-site computer, each equipment is connected by switch, and then meets the requirement of image information high speed processing, effectively avoids data congestion.In order to guarantee the rapidity of transmission, the present invention adopts gigabit Ethernet to realize image and data transmission.
More excellent scheme of the present utility model is:
Be provided with industrial computer defects detection module in described industrial computer processor, industrial computer defects detection module mainly is comprised of image acquisition units, defect image pretreatment unit, Ethernet interface control module, graphics processing unit and pci interface chip.
Described central server and on-site computer are by computing machine and software is detected on operation foreground on computers and background data base forms.
The detection method of said detecting system, comprise the steps:
(1) the parameters packing that software arranges each road high speed camera by the user is detected on the foreground of on-site computer, by Ethernet, directly is sent to the high speed camera array;
(2) send the defects detection order by software interface, this order is sent to the industrial computer processor array by Ethernet, starts online surface of aluminum plate defects detection, and camera array enters duty;
(3) view data of high speed camera output is sent to the industrial computer data acquisition module through the GigE interface through gigabit networking;
(4) after collecting a frame image data, image pretreatment unit in the industrial computer processor reads the view data of dynamic data base, carry out exchanges data in program, to view data according to after processing, the pre-service result is deposited into another dynamic data base, and image pretreatment unit storing information is sent to the defects detection module that detects software;
(5) after defects detection module and acquisition module complete exchanges data, read the view data in dynamic data base, and carry out defects detection and location;
(6) after the defects detection module completes image detection, defect after carrying out precise classification, sorter is packed the data of each defect, be sent to on-site computer and central server through gigabit Ethernet, on-site computer or central server are stored detailed defect parameters, defect image and described high speed camera numbering;
(7) central server or on-site computer upgrade demonstration by a plurality of subwindows to multichannel testing result and aluminium sheet defect image, it are saved in the total data storehouse simultaneously;
(8) after detection module detects and finds defect, when sending defect information, defect is accurately located, quality of production report, be sent to central server or print for the client.
In step (1), image acquisition units in the industrial computer processor is when being regulated camera, send camera control signal by network, camera control signal, with the form of square wave pulse, is sent to the GigE interface of each road high speed camera by express network.
In step (4), the image preprocessing process is for first according to picture size, image being carried out to border cutting processing, and the Crisscross template of recycling pixel 3 * 3 carries out medium filtering, then utilizes piecewise linear gray transformation to strengthen processing to defect area.
In step (5), after the defects detection module receives storage information, read pretreated view data; First utilize various thresholding methods by the various defect recognition of image out; Then calculate the characteristic in each defect image zone, according to result, calculate defect area and then classification, add up each defect.
Central server is realized the integral body control of industrial computer.When indivedual industrial computers break down, by adjusting the corresponding relation of camera and industrial computer processor, coordinate the duty of industrial computer array, grid by switch as relaying, replace free of discontinuities between hardware, can realize Redundant Control, guarantee the stability detected.
The utility model has adopted multichannel Industry thread array CCD camera combination side by side to gather the view data of aluminum plate product line product, view data is sent to each self-corresponding industrial computer processor through the Gige interface by kilomega network, because adopting gigabit Ethernet, the present invention carries out data interaction, transfer rate is high, long transmission distance, using switch as relaying, replace free of discontinuities between hardware, can guarantee high speed and the stability of data acquisition.
Single-processor carried out analyzing and processing to the aluminium sheet defect image and realized defects detection in the past, and the PC processor is the core of whole detection system, was also the bottleneck of the whole detection system speed of restriction.In order to guarantee the high speed of image analysis processing, processing unit of the present invention is by many industrial computer cooperation realizations, and stable, the high-speed data processing power that take full advantage of industrial computer also effectively prevent data congestion.The present invention uses many industrial computers to correspond to multi-thread array camera, the image of a collected by camera obtains through corresponding measurement processor testing result and defect image are sent to central server by gigabit Ethernet, can selectively preserve all images or only preserve defect image.Central server is by computing machine and software is detected on operation foreground on computers and background data base forms.
The utility model has been realized the Quick Acquisition of defect image by GigE interface and Ethernet connecting line array CCD camera; Utilize industrial computer array processor to realize aluminium sheet defect fast detecting and location, effectively prevent data congestion; In the situation that quick continuous detecting can be allocated other industrial computer by on-site computer or central server after an industrial computer processing problem and be completed its Detection task, prevent undetected or delay work, realize that intelligence, free of discontinuities detect; The fast transport of utilized gigabit Ethernet to guarantee testing result and defect image.The aluminium sheet defect on-line detecting system built has that accuracy of detection is high, the detection speed room for promotion large, be easy to realize the Distributed Detection advantage, can be applicable to domestic most aluminum plate product line, can effectively carry out that bubble, hole, oil mark, foreign matter are pressed into, the high speed of the complex aluminium board defect such as dent, roll marks, composite bed are peeled off detects online.
(4) accompanying drawing explanation
Below in conjunction with accompanying drawing, the utility model is further described.
The structural representation that Fig. 1 is the utility model detection system;
In figure, 1 aluminum plate product line, 2 LED light sources, 3 high speed camera arrays, 4 industrial computer processors, 5 central servers, 6 on-site computers, 7 scramblers, 8 Ethernet switches.
(5) embodiment
Below in conjunction with drawings and Examples, the utility model is described in further detail.
As shown in Figure 1, cold rolled aluminum surface imperfection on-line detecting system mainly comprises LED light source 2, aluminum plate product line 1, express network camera, industrial computer processor array, Ethernet switch, on-site computer 6 and central server 5.LED light source 2 is arranged on the both sides up and down of aluminum plate product line 1, and high speed camera array 3 is comprised of the multi-route array CCD camera, laterally is arranged on side by side the both sides up and down of production line 1.Every road camera is connected to each self-corresponding industrial computer processor 4 by the GigE interface.
The industrial computer defect detecting system mainly by image adopt module, image processing module forms, image capture module comprises express network camera 3, Ethernet interface control module, image acquisition units; The industrial computer image processing module comprises that image pretreatment unit, image curve collecting unit, graphics processing unit and classification of defects device form.Wherein, central server 5 is connected to switch by kilomega network, then is connected to industrial computer 4 and express network camera 3 by Ethernet switch.On-site computer 6 and central server 5 are by computing machine and software is detected on operation foreground on computers and background data base forms.In addition, whole system also comprises the pci interface chips such as encoder pulse count board.
Defect inspection method of the present invention is:
(1) parameter setting.The foreground of on-site computer is detected software the user is arranged to the packing of (settings such as the line frequency of each road high speed camera, time shutter, image size) parameter, by Ethernet, directly is sent to the express network camera array.Image acquisition units in industrial computer also can send camera control signal by network when camera is regulated.Camera control signal, with the form of square wave pulse, is sent to the GigE interface of each road high speed camera by express network.
(2) detect and start.Send the defects detection order by software interface, this order is sent to the industrial computer processor array by Ethernet, starts online surface of aluminum plate defects detection, and camera array enters duty.
(3) image data acquiring.The view data of high speed camera output is sent to the industrial computer data acquisition unit through the Gige interface through gigabit networking.This unit effect is that the view data that camera is sent is arranged and preserves, and has original single row of pixels form to be integrated into the image of pixel 4096 * 600.Acquisition module is saved to interim dynamic data base by original image, and the data bit of storage is 8 gray level images, totally 256 gray shade scales.
(4) image pre-service.After collecting a frame image data, image pretreatment unit in the industrial computer processor reads the view data of dynamic data base, carry out exchanges data in program, first according to picture size, image is carried out to border cutting processing, the Crisscross template of recycling 3 * 3 carries out medium filtering, then utilizes piecewise linear gray transformation to strengthen processing to defect area.Pretreated view data is deposited into another dynamic data base.
(5) defects detection and classification.After defects detection module and acquisition module complete exchanges data, read the view data in dynamic data base, and carry out defects detection and location.Because aluminium sheet has strong reflective characteristic, for the reflection characteristic of light source, foreign matter is pressed into etc. and can only, by the small part light reflection in the middle of camera, belongs to the low contrast in image, discrete defect area.Utilize empirical value t 1be partitioned into foreign matter and be pressed into the high-contrast defect areas such as vestige.Due to hole defect without any reflection ray, but under aluminium sheet, the intense light irradiation of side light source can shine directly in the upside camera, the gradation of image value collected is very high, utilizes empirical value, very easily separates.The recycling opening operation is removed noise, determine defective locations, area by ripple threshold marker connected domain, then calculate the circularity of regional, the characteristics of carrying out mark, then by the judgement of classification of defects device, because the defects such as oil mark have the vertical continuity feature, can learn according to characteristics, contrast the differentiation of carrying out this type of defect and other defect.Utilize empirical value t 2be partitioned into the low contrast such as dent, roll marks defect area in image.
(6) testing result transmits.After the defects detection module completes image detection, if the number of defect is non-vanishing, defect after carrying out precise classification, sorter is packed the data such as the type of each defect, area, position, be sent to on-site computer and central server through gigabit Ethernet, on-site computer or central server are stored detailed defect parameters, defect image and affiliated high speed camera number.
(7) central server or on-site computer upgrade demonstration by a plurality of subwindows to multichannel testing result and aluminium sheet defect image, it are saved in the total data storehouse simultaneously.
(8) after detection module detects and finds defect, when sending defect information, defect is accurately located, start place by the selected side of client and aluminium volume and be designated as horizontal stroke, ordinate starting point, the horizontal stroke of statistical shortcomings, ordinate, generate quality report, is sent to central server or prints for the client.
(9) in testing process, if there is indivedual industrial computer processors, go wrong, central server will send the industrial computer control signal, call idle industrial computer the fault industrial computer is replaced out, guarantee the continuity detected.

Claims (1)

1. a cold rolled aluminum surface imperfection on-line detecting system, comprise aluminum plate product line (1), it is characterized in that: the upper and lower both sides of described aluminum plate product line (1) all are equipped with LED light source (2) and horizontal high speed camera array (3) side by side, high speed camera array (3) is comprised of some route array CCD cameras, each road camera is connected to each self-corresponding industrial computer processor (4) by the GigE interface, Ethernet interface control module in each industrial computer processor (4) is connected to switch by kilomega network, be connected to central server (5) or on-site computer (6) by Ethernet switch again.
CN 201320450073 2013-07-26 2013-07-26 On-line detecting system for surface defect of cold rolling aluminum plate Expired - Fee Related CN203365339U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN 201320450073 CN203365339U (en) 2013-07-26 2013-07-26 On-line detecting system for surface defect of cold rolling aluminum plate

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN 201320450073 CN203365339U (en) 2013-07-26 2013-07-26 On-line detecting system for surface defect of cold rolling aluminum plate

Publications (1)

Publication Number Publication Date
CN203365339U true CN203365339U (en) 2013-12-25

Family

ID=49813085

Family Applications (1)

Application Number Title Priority Date Filing Date
CN 201320450073 Expired - Fee Related CN203365339U (en) 2013-07-26 2013-07-26 On-line detecting system for surface defect of cold rolling aluminum plate

Country Status (1)

Country Link
CN (1) CN203365339U (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103399016A (en) * 2013-07-26 2013-11-20 齐鲁工业大学 Online detection system for surface defects of coldly-rolled aluminum plate and detection method of online detection system
CN104655646A (en) * 2014-04-24 2015-05-27 东旭集团有限公司 Glass substrate internal defect checking system and checking method for height position of internal defect
CN110618141A (en) * 2019-09-17 2019-12-27 深圳新视智科技术有限公司 Method, system and device for detecting glass defects

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103399016A (en) * 2013-07-26 2013-11-20 齐鲁工业大学 Online detection system for surface defects of coldly-rolled aluminum plate and detection method of online detection system
CN104655646A (en) * 2014-04-24 2015-05-27 东旭集团有限公司 Glass substrate internal defect checking system and checking method for height position of internal defect
CN110618141A (en) * 2019-09-17 2019-12-27 深圳新视智科技术有限公司 Method, system and device for detecting glass defects
CN110618141B (en) * 2019-09-17 2022-08-05 深圳新视智科技术有限公司 Method, system and device for detecting glass defects

Similar Documents

Publication Publication Date Title
CN103399016A (en) Online detection system for surface defects of coldly-rolled aluminum plate and detection method of online detection system
CN105488816B (en) A kind of mineral floating foam flow velocity on-line measuring device and method based on 3D vision information
CN204924967U (en) Image acquisition mechanism of full -automatic AOI complete machine
CN106706653A (en) High-speed wide board detection method
CN103424409B (en) Vision detecting system based on DSP
CN202002894U (en) Quick online paper flaw detecting system based on machine vision
CN102175700B (en) Method for detecting welding seam segmentation and defects of digital X-ray images
CN102721702A (en) Distributed paper defect detection system and method based on embedded processor
CN105044126A (en) Visual detection system for large-width continuous surface defects
CN101661004B (en) Visible detection method of welding quality of circuit board based on support vector machine
CN203376271U (en) Machine vision-based non-continuous product online detection system
CN103913468A (en) Multi-vision defect detecting equipment and method for large-size LCD glass substrate in production line
CN110473178A (en) A kind of open defect detection method and system based on multiple light courcess fusion
CN101105459A (en) Empty bottle mouth defect inspection method and device
CN104394385B (en) A kind of ceramic tile quality on-line detecting device and its detection method
CN103913460A (en) Online paper defect detecting system
CN101303226A (en) Method for measuring circuit board line width based on largest communication domain
CN203365339U (en) On-line detecting system for surface defect of cold rolling aluminum plate
CN112651966A (en) Printed circuit board micro-defect detection method based on ACYOLOV4_ CSP
CN103344648A (en) Method and system for detecting surface quality of steel sheet based on graphics processing unit (GPU)
CN104132945A (en) On-line surface quality visual inspection device for bar based on optical fiber conduction
CN113362276B (en) Visual detection method and system for plates
CN103473778A (en) Detecting algorithm for eccentrically-inserting defect of LED luminous chip
CN102901735B (en) System for carrying out automatic detections upon workpiece defect, cracking, and deformation by using computer
CN204287062U (en) The online defect detecting system of WIS

Legal Events

Date Code Title Description
C14 Grant of patent or utility model
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20131225

Termination date: 20140726

EXPY Termination of patent right or utility model