CN208092793U - The detection platform of enamel coating defect - Google Patents
The detection platform of enamel coating defect Download PDFInfo
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- CN208092793U CN208092793U CN201820455782.1U CN201820455782U CN208092793U CN 208092793 U CN208092793 U CN 208092793U CN 201820455782 U CN201820455782 U CN 201820455782U CN 208092793 U CN208092793 U CN 208092793U
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Abstract
The utility model discloses a kind of detection platforms of enamel coating defect.Wherein, which includes：Product conveying device, for conveying enamel product movement；Detection station is arranged on the transport path of the product conveying device, for the equipment for detecting the enamel product to be arranged；Video camera is arranged in the detection station, and the photo of the enamel coating to be detected for when enamel product moves to the detection station, shooting the enamel product obtains photo to be detected；Processor, it is connected with the video camera, judge that the enamel coating to be detected marks the position of the defect in the case where judging the enamel coating existing defects to be detected with the presence or absence of defect in the photo to be detected for comparing the photo to be detected and Target Photo.The utility model solves the insecure technical problem of hand inspection defect.
Description
Technical field
The utility model is related to detection fields, in particular to a kind of detection platform of enamel coating defect.
Background technology
When detecting enamel inner container, especially enamel inner container surface when, desk checking can only be carried out at present.Sentenced by experience
The enamel coating of disconnected enamel inner container whether there is defect.But since the range for needing to detect is bigger, and there are dead angles for enamel inner container
Region manually can not accurately be judged to whether there is defect, be easy to cause the insecure technical problem of defects detection.
For above-mentioned problem, currently no effective solution has been proposed.
Utility model content
The utility model embodiment provides a kind of detection platform of enamel coating defect, at least to solve hand inspection defect not
Reliable technical problem.
According to the one side of the utility model embodiment, a kind of detection platform of enamel coating defect is provided, including：Product
Conveying device, for conveying enamel product movement；Detection station is arranged on the transport path of the product conveying device, uses
In the equipment that setting detects the enamel product；Video camera is arranged in the detection station, for being moved in enamel product
When the detection station, the photo of the enamel coating to be detected of the enamel product is shot, photo to be detected is obtained；Processor, with institute
It states video camera to be connected, judges that the enamel coating to be detected whether there is for comparing the photo to be detected and Target Photo
It lacks, in the case where judging the enamel coating existing defects to be detected, the defect is marked in the photo to be detected
Position.
Optionally, the detection station is additionally provided with：Servo-drive guide rail is connected with the video camera, for driving
The camera motion controls the video camera and is moved down on the inside of the enamel product to the inside of the enamel product
It is dynamic, or rotation.
Optionally, it is also equipped with light source on the servo-drive guide rail, is moved together with the video camera, for being described
Video camera provides illumination needed for shooting.
Optionally, the detection platform further includes：Clamping device is correspondingly arranged with the detection station, for described
When enamel product moves to the detection station, the enamel product is clamped.
Optionally, the detection platform further includes：Identification device is disposed adjacent with the detection station, for described
When enamel product moves to the detection station, the identification code of the enamel product is identified.
Optionally, the detection platform further includes：Capture apparatus is disposed adjacent with the detection station, is used for from described
The enamel product is grabbed the detection station by product conveying device.
Optionally, the detection platform further includes：Offline robot is disposed adjacent with the detection station, for that will deposit
It is removed from the detection station in the enamel product of defect.
Optionally, the detection platform further includes：Communication device is connected between the processor and the video camera,
Photo for shooting the video camera is transferred to the processor.
The present embodiment shoots the enamel coating of enamel, and whether the photo for comparing out shooting prompts enamel coating defective,
In the case of prompting enamel coating defective, fall vacant sunken position, convenient for subsequently handling enamel coating, this profit are marked in photo
The scheme for searching enamel coating defect is compared with photo, all enamel coatings of enamel product can be detected, be avoided hand inspection
When missing inspection, solve the prior art detection enamel coating defect when be easy missing inspection the technical issues of.
Description of the drawings
Attached drawing described herein is used to provide a further understanding of the present invention, and is constituted part of this application,
The exemplary embodiment of the utility model and the description thereof are used to explain the utility model, does not constitute to the improper of the utility model
It limits.In the accompanying drawings：
Fig. 1 is the schematic diagram according to a kind of detection platform of enamel coating defect of the utility model embodiment；
Fig. 2 is the schematic diagram according to the video camera and product pipeline of the utility model embodiment；
Fig. 3 is the schematic diagram according to the detection platform of the enamel coating defect of the utility model embodiment.
Specific implementation mode
In order to make those skilled in the art more fully understand the utility model, below in conjunction with the utility model reality
The attached drawing in example is applied, the technical scheme in the utility model embodiment is clearly and completely described, it is clear that described
Embodiment is only the embodiment of the utility model part, instead of all the embodiments.Based on the reality in the utility model
Example is applied, every other embodiment obtained by those of ordinary skill in the art without making creative efforts is all answered
When the range for belonging to the utility model protection.
The utility model embodiment provides a kind of detection platform of enamel coating defect.As shown in Figure 1, the detection of the enamel coating defect
Platform includes：
Product conveying device 22 is moved for conveying enamel product 20；The shape of enamel product 20 can be planar as, circle
Tubular, cylindric, square tube shape or other irregular shapes.Enamel coating to be detected can be the inside of cylindric enamel product
Enamel coating can also be the outside enamel coating of cylindric enamel product, and for flat enamel product, enamel coating to be detected can
To be the surface enamel coating of enamel product.
Product conveying device 22 can be assembly line, and conveying enamel product moves on assembly line.The product conveying device
22 can be carrier chain 31 shown in Fig. 2, and enamel product 20 is workpiece 32 shown in Fig. 2.
Detection station 24 is arranged on the transport path of the product conveying device, and the enamel production is detected for being arranged
The equipment of product；
Detection station 24 can be the position being oppositely arranged with product conveying device 22, and detection station 24 is i.e. as shown in Figure 3
Station 33.
Video camera 26 is arranged in the detection station, for when enamel product moves to the detection station, shooting
The photo of the enamel coating to be detected of the enamel product, obtains photo to be detected.
Video camera is vision-based detection camera 34 shown in Fig. 2, is arranged in station 33 shown in Fig. 2.The vision-based detection
Camera 34 can be moved up and down or be rotated in station 33, so that the enamel coating to enamel product is shot.
It should be noted that Fig. 1 only schematically illustrates the relationship between each location component, component is not limited
Size relationship.
Processor 28 is connected with the video camera, for comparing the photo to be detected and Target Photo to judge
Enamel coating to be detected is stated with the presence or absence of lacking, in the case where judging the enamel coating existing defects to be detected, in the photograph to be detected
The position of the defect is marked in piece.
Image analysis is carried out to photo to be detected, photo and Target Photo to be detected are compared, to find out photo to be detected
In the information different from Target Photo.Since Target Photo is the photo of the enamel coating there is no defect, if photo packet to be detected
The information different from Target Photo is included, illustrates that the photo to be detected is the photo of the enamel coating of existing defects.
Can image coding first be carried out to photo to be detected when comparing, then be compared with the image of Target Photo coding
Compared with.When comparing photo and the first picture to be detected, the image coding and the image of the first picture that find out photo to be detected are compiled
The different place of code.If different image codings can be found, it is determined that the corresponding enamel coating existing defects of the photo to be detected,
Defective locations are located at the represented position of the different image coding.When comparing photo to be detected with second picture, find out
The image coding and the image of defect information in second picture of photo to be detected encode identical place.If can find identical
Image coding, it is determined that the corresponding enamel coating existing defects of the photo to be detected, type and the second picture of defect include scarce
Sunken type is identical.
In the case where determining defect, the position of marking of defects in photo to be detected also just can determine that the defect is being warded off
Position on the enamel coating of porcelain products, convenient for being subsequently further processed to the enamel product.
The present embodiment shoots the enamel coating of enamel, and whether the photo for comparing out shooting prompts enamel coating defective,
In the case of prompting enamel coating defective, fall vacant sunken position, convenient for subsequently handling enamel coating, this profit are marked in photo
The scheme for searching enamel coating defect is compared with photo, all enamel coatings of enamel product can be detected, be avoided hand inspection
When missing inspection, solve the prior art detection enamel coating defect when be easy missing inspection the technical issues of.
Optionally, as shown in figure 3, the detection station is additionally provided with：Servo-drive guide rail 44 is connected with the video camera
It connects, for driving the camera motion to the inside of the enamel product, and controls the video camera in the enamel product
Inside move up and down, or rotation.
Optionally, it is also equipped with light source on the servo-drive guide rail, is moved together with the video camera, for being described
Video camera provides illumination needed for shooting.
Optionally, the detection platform further includes：Clamping device is correspondingly arranged with the detection station, for described
When enamel product moves to the detection station, the enamel product is clamped.Clamping device (being not shown in Fig. 2) is warded off to be measured
Porcelain products clamp, and avoid shaking.
Optionally, detection platform further includes：Identification device 41 is disposed adjacent with the detection station, for being warded off described
When porcelain products move to the detection station, the identification code 45 of the enamel product is identified.
As shown in figure 3, being provided with identification device 41 on the adjacent position of detection station, which can scan and ward off
Identification code 45 on porcelain products.The identification code can be transferred to processor by identification device, so that processor utilizes identification code
Storage is associated to enamel product and photo to be detected.
Optionally, the detection platform further includes：Capture apparatus (not shown) is adjacent with the detection station to set
It sets, for grabbing the detection station from the product conveying device by the enamel product.
Capture apparatus can capture enamel product from assembly line, and enamel product is put into detection work and is detected, or
Person is put into test station and carries out qualification testing.
Optionally, the detection platform further includes：Offline robot 42 is disposed adjacent with the detection station, and being used for will
The enamel product of existing defects is removed from the detection station.
As shown in figure 3, being provided with offline robot 42 on the adjacent position of detection station, which can incite somebody to action
Defective enamel product is mobile from detection station to be managed region or scraps region everywhere.Wherein, recoverable enamel product
It is moved to processing region, it is not possible to which the enamel product of reparation, which is moved to, scraps region.
Optionally, the detection platform further includes：Communication device is connected between the processor and the video camera,
Photo for shooting the video camera is transferred to the processor.
Communication device can be wired or wireless communication line, for carrying out communication link between processor and video camera
It connects.The processor can be computer 43 shown in Fig. 3.After the computer receives photo, cloud can be saved the data in
Client database ensures the reliability of data, convenient for subsequently being tracked after sale enamel product.For example, occurring in enamel product
After problem, the photo of database is inquired, and the reason of according to photo decision problem, and production procedure is updated with this, avoid having
The enamel product of same problem is in market circulation.
The utility model embodiment carries out the detection side of enamel coating defect in the following ways：
The photo for obtaining the enamel coating to be detected of enamel product, obtains photo to be detected.Compare the photo to be detected and mesh
Piece mark on a map to judge that the enamel coating to be detected whether there is defect.The case where judging the enamel coating existing defects to be detected
Under, the position of the defect is marked in the photo to be detected.
The shape of enamel product can be planar as, cylindric, cylindric, square tube shape or other irregular shapes.
Enamel coating to be detected can be the inside enamel coating of cylindric enamel product, can also be the outside porcelain of cylindric enamel product
Layer, for flat enamel product, enamel coating to be detected can be the surface enamel coating of enamel product.
Optionally, the enamel product is enamel inner container, obtains the photo of the enamel coating to be detected of enamel product, obtains to be checked
Surveying photo includes：According to the side wall of enamel inner container described in target time interval or target step rotary taking, multiple sides are obtained
Wall picture；After the side wall for completing to shoot the enamel inner container, the bottom cover image of the enamel inner container is shot；It will be the multiple
Side wall picture and the bottom cover image are spliced, and the photo to be detected is obtained.
The photo that the enamel coating to be detected of enamel product is shot using video camera can not be shot when video camera shoots a film,fault
In the case of entire enamel coating to be detected, it can repeatedly be shot using video camera, obtain multiple pictures, then to obtaining
Multiple pictures are spliced, and the photo to be detected of entire enamel coating to be detected is obtained.
For example, for cylindric enamel inner container, enamel coating is located at the inside of enamel inner container.Video camera extend into enamel inner container
Inside rotary taking inner side of liner surface photo, obtain the photo of multiple side walls.When shooting photo every the unit interval
Or rotary distance is taken pictures once, is repeatedly shot according to the length of liner.It, can be first close to liner when liner is longer
The part rotary taking of opening, after completing shooting, then in the position rotary taking close to liner at the bottom, to shoot the whole of liner
A inner surface.When shooting the side wall of liner, controlling any continuous two images has about 1 centimetre of length overlapping, favorably
In defects detection, missing inspection is prevented.In the bottom of the side wall and then shooting liner that have shot liner.The video camera can be high
Speed shooting video camera, reduces influence of the shake caused by camera motion to photo.In camera motion, may be used even
Speed movement.
After the side wall and bottom cover for completing shooting liner, all photos of the enamel inner container are spliced, are waited for
Photo is detected, whether the enamel coating further to judge enamel inner container is defective.
Image analysis is carried out to photo to be detected, photo and Target Photo to be detected are compared, to find out photo to be detected
In the information different from Target Photo.Since Target Photo is the photo of the enamel coating there is no defect, if photo packet to be detected
The information different from Target Photo is included, illustrates that the photo to be detected is the photo of the enamel coating of existing defects.
Optionally, the photo to be detected and Target Photo are compared to judge that the enamel coating to be detected whether there is defect packet
It includes：The photo to be detected is compared with the Target Photo, wherein the Target Photo includes the first picture and second
Picture, first picture are the picture of no defective product, and the second picture is the picture of defective product；In the target
In the case that picture is the first picture, if in the case that the photo to be detected is carried with the first picture different characteristic,
Determine the enamel coating existing defects to be detected；In the case where the Target Photo is second picture, if the photo to be detected
In the case of carrying the defect information same characteristic features with the second picture, the enamel coating existing defects to be detected are determined.
Can image coding first be carried out to photo to be detected when comparing, then be compared with the image of Target Photo coding
Compared with.When comparing photo and the first picture to be detected, the image coding and the image of the first picture that find out photo to be detected are compiled
The different place of code.If different image codings can be found, it is determined that the corresponding enamel coating existing defects of the photo to be detected,
Defective locations are located at the represented position of the different image coding.When comparing photo to be detected with second picture, find out
The image coding and the image of defect information in second picture of photo to be detected encode identical place.If can find identical
Image coding, it is determined that the corresponding enamel coating existing defects of the photo to be detected, type and the second picture of defect include scarce
Sunken type is identical.
In the case where determining defect, the position of marking of defects in photo to be detected also just can determine that the defect is being warded off
Position on the enamel coating of porcelain products, convenient for being subsequently further processed to the enamel product.
The present embodiment shoots the enamel coating of enamel, and whether the photo for comparing out shooting prompts enamel coating defective,
In the case of prompting enamel coating defective, fall vacant sunken position, convenient for subsequently handling enamel coating, this profit are marked in photo
The scheme for searching enamel coating defect is compared with photo, all enamel coatings of enamel product can be detected, be avoided hand inspection
When missing inspection cause the insecure technical problem of artificial detection enamel coating defect, reached improve artificial detection enamel coating defect it is reliable
The technique effect of property.
Optionally, in order to be tracked to enamel product, when shooting the photo of enamel coating, by the knowledge of photo and enamel product
Other code is associated, that is, after obtaining the photo of enamel coating to be detected of enamel product, the method further includes：Described in scanning
The identification code of enamel product, wherein the identification code is used to indicate the identity information of the enamel product；By the photograph to be detected
Piece and the identification code associated storage.
In the case where having identification code on enamel product, direct scanning recognition code, and by photo to be detected and identification code
Associated storage.The identification code can be the product serial number coding imprinted on enamel product, and product serial number coding can be item
The product serial number of shape code, Quick Response Code or other forms encodes, and can also be product serial number coding of written form etc..It is scanning
After obtaining identification code, identification code is transferred to computer or server, is stored together with photo to be detected.Wherein, to be checked
It is that splicing obtains to survey photo, and before splicing, video camera can be often to take a picture one photo of transmission to computer or clothes
Business device, is sent to computer after can also all having been shot to the enamel coating whole photo of entire enamel product or server carries out
Storage, in this case, every time send a photo all with identification code associated storage.
The product serial number of enamel product is encoded and is associated storage with corresponding defective locations and defect type, so as to right
Enamel product is tracked.For example, when enamel product occurs damaged, the defective locations and defect class of the product can be recalled
Type, and then judge damaged Producing reason.Production line can also be optimized according to damaged reason so that the enamel product of production
No longer there is similar defect or damaging problem no longer occurs.
Optionally, the method further includes：Before obtaining the photo of enamel coating to be detected of enamel product, to the enamel
Product is encoded, and product serial number coding is obtained；After obtaining the photo of enamel coating to be detected of enamel product, by the product
Serial number code and the photo associated storage to be detected.
Can be enamel product when shooting the photo of enamel coating to be detected in the case where there is no identification code on enamel product
The product serial number is encoded the identity coding as product, to be subsequently tracked to the product by serial number code.When storage,
Using coding storage is associated with photo.Associated storage is identical in the associated storage of above-mentioned identification code, and details are not described herein again.
If there are after-market products exception occurs, can database liner enamel coating number be called according to identification code or coding at any time
According to analyzing enamel coating quality, realize quality tracing, while according to quality tracing situation, carry out process optimization and change with quality
It is kind.
Intelligent measurement may be implemented in the present embodiment, following scheme can be used：
When liner (enamel product) runs to station, clamping device clamps liner, avoids shaking.
Machine Vision Detection camera is moved by servo-drive guide rail along liner central axes, while driving imaging institute light requirement
Source enters liner inside photographing image.
Servo guide rail drives light source and camera at the uniform velocity to enter liner.Combined light source is opened during entrance, Mei Gedan
Bit length is taken pictures once, is repeatedly shot according to the length of liner.Controlling any continuous two images has about 1 centimetre simultaneously
Length overlapping, be conducive to defects detection, prevent missing inspection.
The high speed of camera, which is taken pictures, can effectively reduce guide rail movement and shake influence to generation of taking pictures.
Camera is often shot once, and the image of acquisition is transferred to computer immediately via data line, is completed at the same time the image
On defect inspection and mark.After the multiple shooting for completing each liner.Computer is by multiple collected image mosaics
And it is launched into a complete liner image, and carry out qualification determination.
When reaching upper cover position, continues to shoot bottom cover image, and be transferred to computer, complete defect inspection and mark
Know.
After the completion of all taking pictures, servo guide rail, which quickly exits, exits machine vision camera, completes primary complete bat
Take the photograph process.
The present embodiment can utilize manual intervention pattern and artificial teaching mould when judging whether photo to be detected is defective
Formula is combined.Since photo detection depends on huge database, need manually to impart knowledge to students when database is complete：Setting
Manual intervention pattern, artificial teaching pattern.After the liner component global image of shooting, abnormal position is marked, by manually carrying out
Judgement；Database learns the result manually judged.After database preserves data, and reach high in the clouds backup, it is ensured that data are protected
Deposit reliability.
Optionally, after marking the position of the defect in the photo to be detected, the method further includes：Judge
Whether the type of the defect is that can repair type；In the case where the type of the defect is that can repair type, warded off to described
Porcelain products carry out repair process；In the case where the type of the defect is unrepairable type, the enamel product is carried out
Scrap processing.
The type of defect includes lacking porcelain, burst porcelain and pin hole etc..Be in the type for detecting defect it is recoverable, can
With by the enamel product it is offline arrive pending district, waiting be further processed the case where the type for detecting defect is unrepairable
Under, which can be carried out scrapping processing.
The above is only the preferred embodiment of the utility model, it is noted that for the common skill of the art
For art personnel, without departing from the principle of this utility model, several improvements and modifications can also be made, these improve and
Retouching also should be regarded as the scope of protection of the utility model.
Claims (8)
1. a kind of detection platform of enamel coating defect, which is characterized in that including：
Product conveying device, for conveying enamel product movement；
Detection station is arranged on the transport path of the product conveying device, and setting for the enamel product is detected for being arranged
It is standby；
Video camera is arranged in the detection station, for when enamel product moves to the detection station, being warded off described in shooting
The photo of the enamel coating to be detected of porcelain products, obtains photo to be detected；
Processor is connected with the video camera, described to be checked to judge for comparing the photo to be detected and Target Photo
It surveys enamel coating and whether there is defect, in the case where judging the enamel coating existing defects to be detected, in the photo to be detected
Mark the position of the defect.
2. detection platform according to claim 1, which is characterized in that the detection station is additionally provided with：
Servo-drive guide rail is connected with the video camera, for driving the camera motion to the interior of the enamel product
Portion, and control the video camera and moved up and down in the inside of the enamel product, or rotation.
3. detection platform according to claim 2, which is characterized in that it is also equipped with light source on the servo-drive guide rail,
It is moved with together with the video camera, for providing illumination needed for shooting for the video camera.
4. detection platform according to claim 1, which is characterized in that the detection platform further includes：
Clamping device is correspondingly arranged with the detection station, for when the enamel product moves to the detection station, inciting somebody to action
The enamel product clamps.
5. detection platform according to claim 1, which is characterized in that the detection platform further includes：
Identification device is disposed adjacent with the detection station, for when the enamel product moves to the detection station, knowing
The identification code of the not described enamel product.
6. detection platform according to claim 1, which is characterized in that the detection platform further includes：
Capture apparatus is disposed adjacent with the detection station, for being captured from the product conveying device by the enamel product
To the detection station.
7. detection platform according to claim 1, which is characterized in that the detection platform further includes：
Offline robot is disposed adjacent with the detection station, for there will be the enamel products of defect from the detection station
Upper removal.
8. detection platform according to claim 1, which is characterized in that the detection platform further includes：
Communication device is connected between the processor and the video camera, the photo transmission for shooting the video camera
To the processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201820455782.1U CN208092793U (en) | 2018-04-02 | 2018-04-02 | The detection platform of enamel coating defect |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201820455782.1U CN208092793U (en) | 2018-04-02 | 2018-04-02 | The detection platform of enamel coating defect |
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| CN208092793U true CN208092793U (en) | 2018-11-13 |
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| CN201820455782.1U Active CN208092793U (en) | 2018-04-02 | 2018-04-02 | The detection platform of enamel coating defect |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108615232A (en) * | 2018-04-02 | 2018-10-02 | 珠海格力电器股份有限公司 | Detection method, device and the detection platform of enamel coating defect |
| CN113793338A (en) * | 2021-11-18 | 2021-12-14 | 成都数联云算科技有限公司 | Method, system and device for detecting defects of metal piece with hole and storage medium |
| CN114136987A (en) * | 2021-12-03 | 2022-03-04 | 中科计算技术西部研究院 | Lens deformation defect detection device and method |
| CN116818798A (en) * | 2023-05-31 | 2023-09-29 | 成都瑞波科材料科技有限公司 | Rainbow pattern detection device and method for coating process and coating process equipment |
| CN114136987B (en) * | 2021-12-03 | 2024-04-30 | 中科计算技术西部研究院 | Device and method for detecting deformation defect of lens |
-
2018
- 2018-04-02 CN CN201820455782.1U patent/CN208092793U/en active Active
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108615232A (en) * | 2018-04-02 | 2018-10-02 | 珠海格力电器股份有限公司 | Detection method, device and the detection platform of enamel coating defect |
| CN113793338A (en) * | 2021-11-18 | 2021-12-14 | 成都数联云算科技有限公司 | Method, system and device for detecting defects of metal piece with hole and storage medium |
| CN114136987A (en) * | 2021-12-03 | 2022-03-04 | 中科计算技术西部研究院 | Lens deformation defect detection device and method |
| CN114136987B (en) * | 2021-12-03 | 2024-04-30 | 中科计算技术西部研究院 | Device and method for detecting deformation defect of lens |
| CN116818798A (en) * | 2023-05-31 | 2023-09-29 | 成都瑞波科材料科技有限公司 | Rainbow pattern detection device and method for coating process and coating process equipment |
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