CN112834522A - Visual detection feedback control system - Google Patents
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- CN112834522A CN112834522A CN202011611227.1A CN202011611227A CN112834522A CN 112834522 A CN112834522 A CN 112834522A CN 202011611227 A CN202011611227 A CN 202011611227A CN 112834522 A CN112834522 A CN 112834522A
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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
- G01N21/89—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles
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- B07C5/34—Sorting according to other particular properties
- B07C5/342—Sorting according to other particular properties according to optical properties, e.g. colour
- B07C5/3422—Sorting according to other particular properties according to optical properties, e.g. colour using video scanning devices, e.g. TV-cameras
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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
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
- G01N21/958—Inspecting transparent materials or objects, e.g. windscreens
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Abstract
The invention discloses a visual detection feedback control system, and relates to the technical field of engineering glass production. The system comprises a glass detection table, a visual detection system, a flow direction control table, a defective product shunting table, a good product conveying table and an automatic control system; the glass detection table, the defective product distribution table and the good product conveying table are respectively positioned on one side of the flow direction control table; the glass detection table, the defective product distribution table, the good product conveying table and the flow direction control table are all connected with the automatic control system; the visual detection system is used for detecting the glass to be detected flowing through the glass detection table and sending a detection result of the glass to be detected to the automatic control system; the automatic control system controls the flow direction control console to convey the glass to be detected to a defective product shunting table or a non-defective product conveying table according to the detection result, so that 100% automatic detection of the glass to be detected can be realized, unqualified glass to be detected can be automatically shunted, the production efficiency is improved, and the batch unqualified phenomenon is avoided.
Description
Technical Field
The invention relates to the technical field of engineering glass production, in particular to a visual detection feedback control system.
Background
Along with the increasingly complex product structure and the increasingly high product quality requirement of the engineering glass, in order to deal with the competition of increasing labor cost and increasing product price, the automatic online production which upgrades the traditional discrete manufacturing completely by manual production or semi-automatic production to the working procedures is urgent. However, in the process of pushing the automatic connection, the inspection between the semi-finished products of the working procedures becomes a bottleneck problem again because of two reasons, firstly, the original manual inspection is not feasible due to the reduction of personnel; secondly, the inspection result can not be obtained by the automatic system in time, and batch disqualification is easy to occur. At present, an effective process inspection feedback method is not available in the engineering glass automation industry, and the process inspection feedback method is also performed by professional inspectors after the fact.
In the process of processing the photovoltaic solar substrate glass, due to the mass production, the case of automatic visual detection of the glass after the edging procedure exists, which is as follows:
the main structure and the action flow are as follows:
(1) the main structure is as follows: the system comprises a visual detection system (comprising a line scanning camera, a computer client and an image processing software system), a mounting bracket, a glass detection table, an encoder and a backlight light source.
(2) The action flow is as follows:
glass edging cleaning → glass inspection table transmission → vision inspection system detects that glass automatically starts backlight, camera scanning and encoder measurement → image processing software carries out image processing according to camera scanning and encoder data → computer client displays glass surface defect condition and position information → complete detection of the whole glass is completed, the computer client gives out a judgment result according to a preset judgment standard → good glass does not do prompt, defective product prompts follow-up inspector to recheck → follow-up inspector to recheck on line → good product continues to flow to the next process after rechecking, and defective product manual unloading after rechecking.
Although the prior art scheme has realized the glass visual inspection, it has several following shortcomings:
(1) only detecting the apparent defects of the glass, wherein the key point is edge breakage and no product production information exists;
(2) the independent detection equipment does not form a feedback closed loop with the production system;
(3) defective products are not automatically shunted, and manual online rechecking is needed;
(4) no big data quality analysis forms process optimization guidance;
(5) for poor glass specification and size strain capacity, the thickness and specification of the photovoltaic glass are produced in batches;
(6) the equipment cost is high, and the current domestic equipment is covered by about 80 ten thousand RMB.
Disclosure of Invention
The technical problem to be solved by the embodiment of the invention is how to realize automatic detection of glass to be detected and automatically shunt unqualified glass to be detected.
In order to solve the above problems, an embodiment of the present invention provides a visual inspection feedback control system, where the visual inspection feedback control system includes a glass inspection table, a visual inspection system, a flow direction control table, a defective product diversion table, a good product conveying table, and an automatic control system; the glass detection table, the defective product distribution table and the good product conveying table are respectively positioned on one side of the flow direction control table; the glass detection table, the defective product distribution table, the good product conveying table and the flow direction control table are all connected with and controlled by an automatic control system; the glass detection table is used for conveying glass to be detected to the flow direction control table; the visual detection system is used for detecting the glass to be detected flowing through the glass detection table; the visual detection system sends the detection result of the glass to be detected to the automatic control system; the automatic control system controls the flow direction control console to convey the glass to be detected to the defective product shunting table or the good product conveying table according to the detection result of the glass to be detected.
The further technical scheme is that the visual detection system comprises an LED lamp, an LED control loop, a power supply and a visual processing system;
the LED lamp is connected with the LED control loop, the LED lamp is connected with the power supply, and the LED control loop is connected with the vision processing system;
the vision processing system automatically sends a control command to the LED control loop according to the preset color or thickness of the glass to be detected and the environment backlight condition, and the LED control loop controls the LED lamp to provide different white, green and blue light.
The further technical scheme is that the visual detection system also comprises a linear array camera;
the linear array camera is positioned at the upper part of the glass detection table, and the LED lamp is positioned at the lower part of the glass detection table;
the linear array camera is connected with the vision processing system;
irradiating the glass to be detected on the glass detection table through the LED lamp, shooting the glass to be detected by the linear array camera, and transmitting the shot data to the vision processing system by the linear array camera.
The further technical proposal is that a plurality of linear array cameras are provided;
a plurality of linear array camera vision covering glass detection stations.
The glass detection platform comprises an upper transmission press roller and a lower transmission press roller;
the vision inspection system further comprises a first encoder and a second encoder;
the first encoder is arranged at one end of the upper transmission roller to measure the rotating speed of the upper transmission roller, the second encoder is arranged at one end of the lower transmission roller to measure the rotating speed of the lower transmission roller, and the first encoder and the second encoder are in signal connection with the vision processing system;
and the vision processing system collects the data of the first encoder and the second encoder to calculate the length of the glass to be detected according to the starting process and the ending process of the linear array camera for detecting the glass to be detected.
The further technical scheme is that the visual processing system comprises an industrial computer and a human-computer interaction device;
inputting a glass defect inspection standard through a human-computer interaction device;
image processing software, interface software and data display software are installed in the industrial computer, and the interface software is connected with the linear array camera;
the image processing software distinguishes the type, the quantity and the position of the defects of the glass according to the shooting data of the linear array camera, judges good products or defective products and transmits the judgment result to the automatic control system, and the data display software can display the judgment result.
The further technical proposal is that the visual detection feedback control system also comprises a big data analysis system;
the big data analysis system is connected with the vision processing system;
the industrial computer distinguishes the type, the quantity and the position of the glass defects by the image processing software and transmits the glass defects to the big data analysis system, and the big data analysis system carries out statistics, classification and analysis.
The further technical scheme is that the big data analysis system is arranged on a local server or a cloud server;
the big data analysis system and the visual processing system are communicated through TCP/IP, and the data exchange mode between the big data analysis system and the visual processing system is in an XML, database or HML standard format.
The further technical proposal is that the automatic control system comprises a PLC control system or an HMI control system;
the automatic control system is in signal connection with the visual detection system;
the automatic control system transmits the detection requirement and the transmission position information of the glass to be detected to the visual detection system; when the glass to be detected is detected by the visual detection system, the automatic control system receives a detection result instruction of the visual detection system, so that the flow direction is automatically controlled to the console, and the glass to be detected is automatically shunted.
The further technical scheme is that the communication mode between the visual detection system and the automatic control system comprises TCP/IP, RS485/232, a photoelectric sensor and IO signals.
Compared with the prior art, the embodiment of the invention can achieve the following technical effects:
by applying the technical scheme of the invention, the visual detection system is used for detecting the glass to be detected flowing through the glass detection table; the visual detection system sends the detection result of the glass to be detected to the automatic control system; the automatic control system controls the flow direction control console to convey the glass to be detected to a defective product shunting table or a non-defective product conveying table according to the detection result of the glass to be detected, so that 100% automatic detection of the glass to be detected can be realized, unqualified glass to be detected is automatically shunted, the production efficiency is improved, and batch unqualified phenomena are avoided.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a top view of a feedback control system for visual inspection according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a feedback control system for visual inspection according to an embodiment of the present invention;
fig. 3 is a schematic diagram of power supply control of an LED lamp of a visual inspection feedback control system according to an embodiment of the present invention;
fig. 4 is a block diagram of a vision processing system of a feedback control system for visual inspection according to an embodiment of the present invention.
Reference numerals
The device comprises process equipment 1, a glass detection table 2, a visual detection system 3, a flow direction control table 4, a defective product shunting table 5, a good product conveying table 6, an automatic control system 7, a big data analysis system 8, glass 9 to be detected, an upper conveying roller 21, a lower conveying roller 22, a line camera 31, a first encoder 32, a second encoder 33, an LED lamp 34, an LED control loop 35, a power supply 36, a visual processing system 37, an industrial computer 371 and human-computer interaction equipment 372.
Detailed Description
The technical solutions in the embodiments will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, wherein like reference numerals represent like elements in the drawings. It is apparent that the embodiments to be described below are only a part of the embodiments of the present invention, and not all of them. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the embodiments of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the embodiments of the invention. As used in the description of embodiments of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
Referring to fig. 1 to 4, an embodiment of the present invention provides a visual inspection feedback control system, which includes a glass inspection table 2, a visual inspection system 3, a flow direction control table 4, a defective product diversion table 5, a good product conveying table 6, and an automation control system 7.
The glass detection table 2, the defective product diversion table 5 and the good product conveying table 6 are respectively positioned on one side of the flow direction control table 4. The flow direction control table 4 has a bidirectional transmission function, one is a transmission roller in the horizontal transmission direction, and can transmit the glass from the glass detection table 2 and transmit the qualified glass to the good product transmission table 6; the other is a liftable transverse conveying belt which lifts defective glass and transversely conveys the defective glass to a defective distribution table 5.
The glass detection table 2, the defective product distribution table 5, the good product conveying table 6 and the flow direction control table 4 are all connected with an automatic control system 7 and controlled by the automatic control system 7. The glass 9 to be detected processed by the process equipment 1 is conveyed to the glass detection table 2, and the glass detection table 2 is used for conveying the glass 9 to be detected to the flow direction control table 4.
The vision inspection system 3 is used to inspect the glass 9 to be inspected flowing through the glass inspection station 2. The vision inspection system 3 sends the inspection result of the glass 9 to be inspected to the automation control system 7. The automatic control system 7 controls the flow direction control platform 4 to convey the glass 9 to be detected to the defective product shunting platform 5 or the good product conveying platform 6 according to the detection result of the glass 9 to be detected.
Specifically, if the glass 9 to be detected is qualified, the automatic control system 7 controls the flow direction control platform 4 to convey the glass 9 to be detected to the good product conveying platform 6 for conveying to the next process. If the glass 9 to be detected is unqualified, the automatic control system 7 controls the flow direction control platform 4 to convey the glass 9 to be detected to the defective product shunting platform 5. The defective products can be subjected to off-line detection processing according to the re-inspection requirement.
Further, the glass inspection station 2 includes an upper press roller 21 and a lower press roller 22. The vision inspection system 3 includes a line camera 31, a first encoder 32, a second encoder 33, an LED lamp 34, an LED control loop 35, a power supply 36, and a vision processing system 37.
The LED control circuit 35 is an electronic controller, and can be controlled by the vision processing system 37 to control the on/off of the LED lamps 34 of different dot matrixes. Specifically, the vision processing system 37 automatically sends a control command to the LED control circuit 35 according to the preset color or thickness of the glass to be detected and the ambient backlight condition, and the LED control circuit 35 controls the LED lamp 34 to provide different white, green and blue lights.
A first encoder 32 is provided at one end of the upper driving pressure roller 21, and a second encoder 33 is provided at one end of the lower driving pressure roller 22; the linear array camera 31 is arranged at the upper part of the glass detection table 2; the LED lamp 34 is arranged at the lower part of the glass detection table 2; the line camera 31, the first encoder 32, the second encoder 33 and the LED control circuit 35 are all connected with the vision processing system 37, and the LED control circuit 35 and the power supply 36 are all connected with the LED lamp 34. The number of the line cameras 31 is multiple, and the visual cover glass detection tables 2 are arranged in parallel on the line cameras 31; the LED lamp 34 irradiates the glass to be detected on the glass detection table 2, the linear array camera 31 shoots the glass to be detected, and the linear array camera 31 transmits shot data to the vision processing system.
Specifically, a plurality of (for example, two) line cameras 31 visually cover the width of the whole glass inspection station 2, when glass (i.e. glass 9 to be inspected) enters a visual area, the visual processing system 37 automatically starts 1 or more line cameras 31 according to the width of the glass to perform inspection, and automatically performs combination of single camera or multi-camera data according to different sizes of the glass, thereby realizing self-adaptive full inspection of the glass with different widths and sizes.
The LED lamp 34 is arranged at the lower part of the glass detection table 2, corresponds to the detection part of the linear array camera 31, and provides transmitted light for the detected glass during visual detection. The vision processing system 37 automatically sends a control command to the LED control loop 35 according to the preset glass color or thickness and the ambient backlight condition, so as to control the LED lamp 34 to provide different white, green and blue lights during detection, thereby ensuring the optimal spectrum for vision detection and achieving the optimal photographing effect. The detected glass is transmitted by an upper transmission press roller 21 and a lower transmission press roller 22 in a visual detection part, the range of the double press rollers is determined by the detection range of a linear array camera 31, the purpose is to ensure that the transmission of the glass and the glass detection table 2 is synchronous, the defect positions of the detected glass are consistent in actual glass, and the detection size precision of the glass is ensured.
The first encoder 32 and the second encoder 33 are respectively arranged at the ends of the upper transmission press roller 21 and the lower transmission press roller 22 of the glass detection area, and automatically detect the rotating speed of the upper and lower press rollers between the beginning and the end of the detection of the glass. Specifically, a first encoder 32 is provided at one end of the upper driving roller 21 to measure the rotational speed of the upper driving roller 21, and a second encoder 33 is provided at one end of the lower driving roller 22 to measure the rotational speed of the lower driving roller 22. The vision processing system 37 collects the data of the first encoder 32 and the second encoder 33 to calculate the length of the glass to be detected according to the starting process and the ending process of the glass to be detected by the line camera 31. That is, the vision processing system 37 collects two encoder data, and performs a comparison algorithm during the detection period, so as to determine the length data of the glass measurement, thereby ensuring the accuracy of the defect position in the glass length direction.
Further, the vision processing system 37 includes an industrial computer 371 and a human-computer interaction device 372, wherein the industrial computer 371 has image processing software, interface software and data display software installed therein; the interface software is connected with the linear array camera; the image processing software distinguishes the type, the quantity and the position of the defects of the glass according to the shooting data of the line camera 31, judges whether the glass is good or bad, transmits the judgment result to an automatic control system, and the data display software can display the judgment result; the human-computer interaction device 372 is used for providing a human-computer interaction interface.
Specifically, the vision processing system 37 is a core processing system for the whole glass inspection, and comprises an industrial computer 371, a human-computer interaction device 372, image processing software, interface software and data display software, and is in communication with the image preprocessing component based on a Camera ink Full, and is provided with an HMI (human machine interface) for displaying the inspection data to a user. Inputting a glass defect inspection standard (foreign standard, national standard or enterprise standard) into the visual processing system 37 through a human-computer interface (manual input, usb disk import or TCP network transmission) provided by the human-computer interaction device 372 as a standard for defect determination; once receiving the detection requirement, the vision processing system 37 simultaneously starts the LED back lighting, the line camera 31 and the encoder to work, processes the data of the line camera 31 and the encoder in real time, recognizes the type, the number and the position information of the glass defects, and simultaneously gives a glass surface defect map and glass length and width size data in real time after the glass detection is completed; according to the preset product standard, the vision processing system 37 feeds back the glass judgment result, such as good product/defective product, to the automatic control system 7 in real time, the automatic control system 7 automatically controls the shunting transmission table, so that the good glass is automatically shunted to the next procedure, and the defective glass is shunted to the rechecking procedure.
Further, the automation control system 7 includes a PLC control system or an HMI control system; the automatic control system 7 is in signal connection with the visual detection system 3; the automatic control system 7 transmits the detection requirement and the transmission position information of the glass to be detected to the visual detection system 3; when the glass to be detected is detected by the visual detection system 3, the automatic control system 7 receives a detection result instruction of the visual detection system 3, so that the flow direction is automatically controlled to the console, and the glass to be detected is automatically shunted.
Specifically, automated control system 7 includes the PLC controller, and glass detects platform 2, defective products reposition of redundant personnel platform 5, non-defective products conveying platform 6 and flow direction control cabinet 4 and all is connected with the PLC controller. Or in other embodiments, the automatic control system 7 comprises a control system, the glass inspection station 2, the defective product diversion station 5, the good product conveying station 6 and the flow direction control station 4, which are all connected with the control system, and the control system can be an HMI control system, a PLC control system and an upper control system.
Specifically, the automation control system 7 is a logic control part of the glass detection table 2, the flow direction control table 4, the defective product distribution table 5 and the good product conveying table 6, is formed by adding a position control system to a PLC or HMI (programmable logic controller) and carries out data communication with the vision detection system 3, and the communication modes comprise TCP/IP (transmission control protocol/internet protocol), RS485/232, a photoelectric sensor, IO (input output) signals and the like. In the glass detection process, the automatic control system 7 tells the visual processing system 37 the glass detection requirement and the transmission position in real time to realize automatic detection; after the glass is detected by the vision detection system 3, the automatic control system 7 receives the detection result instruction of the vision processing system 37, so as to automatically control the transmission table and automatically shunt the glass.
Further, the visual inspection feedback control system further comprises a big data analysis system 8, and the big data analysis system 8 is connected with the visual inspection system 3. The big data analysis system 8 comprises a local server or a cloud server.
Specifically, the big data analysis system 8 is connected with a vision processing system 37; the industrial computer 371 transmits the type, number and location of the glass defects identified by the image processing software to the big data analysis system 8, and the big data analysis system 8 performs statistics, classification and analysis.
Specifically, the big data analysis system 8 may be deployed in a factory local server or a cloud server, where third-party software (such as MES, QC system, and these production management and quality control software) is installed in the local server or the cloud server, and has functions of data interface, data storage, data analysis, and display. TCP/IP communication can be adopted between the big data analysis system 8 and the vision processing system 37, and the data exchange mode can be standard formats such as XML, database, HML and the like. The vision processing system 37 sends the apparent detection data to the big data analysis system 8, and for the main defects of the white glass or the coated glass, such as bubbles, stones, cracks, scratches, surface dirt, edge breakage, corner breakage, slag falling, demoulding and the like, and surface shape and size deviation, the big data analysis system 8 performs statistics and classification, and after a large amount of data analysis, the proportion of each element influencing the product quality is found out and is used as quality control analysis data to provide the process improvement direction of key quality factors.
By applying the technical scheme of the invention, the visual detection system is used for detecting the glass to be detected flowing through the glass detection table; the visual detection system sends the detection result of the glass to be detected to the automatic control system; the automatic control system controls the flow direction control console to convey the glass to be detected to a defective product shunting table or a non-defective product conveying table according to the detection result of the glass to be detected, so that 100% automatic detection of the glass to be detected can be realized, unqualified glass to be detected is automatically shunted, the production efficiency is improved, and batch unqualified phenomena are avoided.
Compared with the existing automatic visual detection system for glass after the edging process, the automatic visual detection system has the following technical effects:
(1) the equipment cost is reduced by about 1/2, and the domestic set of the invention produces about 40 ten thousand RMB;
(2) the online automatic detection quality and real-time feedback of production information are formed;
(3) the detection system is compatible with the equipment automation system;
(4) the glass automatic-adjustment device is automatically suitable for the size change of glass with multiple thicknesses and specifications;
(5) and (4) analyzing big data and guiding process optimization.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, while the invention has been described with respect to the above-described embodiments, it will be understood that the invention is not limited thereto but may be embodied with various modifications and changes.
While the invention has been described with reference to specific embodiments thereof, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A visual detection feedback control system is characterized by comprising a glass detection table, a visual detection system, a flow direction control table, a defective product shunting table, a non-defective product conveying table and an automatic control system; the glass detection table, the defective product distribution table and the good product conveying table are respectively positioned on one side of the flow direction control table; the glass detection table, the defective product distribution table, the good product conveying table and the flow direction control table are all connected with and controlled by an automatic control system; the glass detection table is used for conveying glass to be detected to the flow direction control table; the visual detection system is used for detecting the glass to be detected flowing through the glass detection table; the visual detection system sends the detection result of the glass to be detected to the automatic control system; the automatic control system controls the flow direction control console to convey the glass to be detected to the defective product shunting table or the good product conveying table according to the detection result of the glass to be detected.
2. The visual inspection feedback control system of claim 1 wherein the visual inspection system includes an LED lamp, an LED control loop, a power supply, and a visual processing system;
the LED lamp is connected with the LED control loop, the LED lamp is connected with the power supply, and the LED control loop is connected with the vision processing system;
the vision processing system automatically sends a control command to the LED control loop according to the preset color or thickness of the glass to be detected and the environment backlight condition, and the LED control loop controls the LED lamp to provide different white, green and blue light.
3. A visual inspection feedback control system according to claim 2 wherein the visual inspection system further comprises a line camera;
the linear array camera is positioned at the upper part of the glass detection table, and the LED lamp is positioned at the lower part of the glass detection table;
the linear array camera is connected with the vision processing system;
irradiating the glass to be detected on the glass detection table through the LED lamp, shooting the glass to be detected by the linear array camera, and transmitting the shot data to the vision processing system by the linear array camera.
4. The visual inspection feedback control system of claim 3, wherein the line camera is a plurality of line cameras;
a plurality of linear array camera vision covering glass detection stations.
5. The visual inspection feedback control system of claim 3, wherein the glass inspection station comprises an upper drive press roll and a lower drive press roll;
the vision inspection system further comprises a first encoder and a second encoder;
the first encoder is arranged at one end of the upper transmission roller to measure the rotating speed of the upper transmission roller, the second encoder is arranged at one end of the lower transmission roller to measure the rotating speed of the lower transmission roller, and the first encoder and the second encoder are in signal connection with the vision processing system;
and the vision processing system collects the data of the first encoder and the second encoder to calculate the length of the glass to be detected according to the starting process and the ending process of the linear array camera for detecting the glass to be detected.
6. A visual inspection feedback control system according to claim 3 wherein the visual processing system comprises an industrial computer and a human-computer interaction device;
inputting a glass defect inspection standard through a human-computer interaction device;
image processing software, interface software and data display software are installed in the industrial computer, and the interface software is connected with the linear array camera;
the image processing software distinguishes the type, the quantity and the position of the defects of the glass according to the shooting data of the linear array camera, judges good products or defective products and transmits the judgment result to the automatic control system, and the data display software can display the judgment result.
7. The visual inspection feedback control system of claim 6, further comprising a big data analysis system;
the big data analysis system is connected with the vision processing system;
the industrial computer distinguishes the type, the quantity and the position of the glass defects by the image processing software and transmits the glass defects to the big data analysis system, and the big data analysis system carries out statistics, classification and analysis.
8. The visual inspection feedback control system of claim 7, wherein the big data analysis system is located in a local server or a cloud server;
the big data analysis system and the visual processing system are communicated through TCP/IP, and the data exchange mode between the big data analysis system and the visual processing system is in an XML, database or HML standard format.
9. The visual inspection feedback control system of claim 6, wherein the automated control system comprises a PLC control system or an HMI control system;
the automatic control system is in signal connection with the visual detection system;
the automatic control system transmits the detection requirement and the transmission position information of the glass to be detected to the visual detection system; when the glass to be detected is detected by the visual detection system, the automatic control system receives a detection result instruction of the visual detection system, so that the flow direction is automatically controlled to the console, and the glass to be detected is automatically shunted.
10. A visual inspection feedback control system as in claim 9 wherein the communication means between the visual inspection system and the automation control system includes TCP/IP, RS485/232, photo sensors and IO signals.
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| CN202011611227.1A CN112834522A (en) | 2020-12-30 | 2020-12-30 | Visual detection feedback control system |
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| CN202011611227.1A CN112834522A (en) | 2020-12-30 | 2020-12-30 | Visual detection feedback control system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113945571A (en) * | 2021-10-15 | 2022-01-18 | 河南工业大学 | Glass defect detection production line based on automation and visual inspection technology |
| CN114226293A (en) * | 2021-12-30 | 2022-03-25 | 深圳市南极光电子科技股份有限公司 | Code scanning and re-judging method for display panel and code scanning and re-judging machine thereof |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH1114334A (en) * | 1997-06-25 | 1999-01-22 | Central Glass Co Ltd | Defect detecting method and device of netset or wired glass |
| CN201680171U (en) * | 2009-10-31 | 2010-12-22 | 比亚迪股份有限公司 | Polychromatic source used for vision testing unit |
| CN203283865U (en) * | 2013-04-25 | 2013-11-13 | 安徽凤阳玻璃有限公司 | Glass conveying device |
| US20150226682A1 (en) * | 2012-09-14 | 2015-08-13 | Luoyang Landglass Technology Co., Ltd | Detection System Based on Modulation of Line Structured Laser Image of Glass |
| CN204564598U (en) * | 2015-02-07 | 2015-08-19 | 深圳市品印宝智能科技有限公司 | Glass tube sorting unit and glass tube outward appearance automatic detection system |
| CN205679544U (en) * | 2016-05-31 | 2016-11-09 | 浙江嘉福玻璃有限公司 | Glass edge angular defect automatic detection device |
| CN106248686A (en) * | 2016-07-01 | 2016-12-21 | 广东技术师范学院 | Glass surface defects based on machine vision detection device and method |
| CN106583275A (en) * | 2016-10-17 | 2017-04-26 | 珠海格力电器股份有限公司 | Device and method for controlling flow direction of detected plate and visual detection equipment |
| CN107966459A (en) * | 2017-12-27 | 2018-04-27 | 湖南航天天麓新材料检测有限责任公司 | A kind of trickle scuffing on-line measuring device of wide cut surface glass |
| CN207586145U (en) * | 2017-12-27 | 2018-07-06 | 湖南航天天麓新材料检测有限责任公司 | A kind of subtle scuffing on-line measuring device of wide cut surface glass |
| CN109557111A (en) * | 2017-09-27 | 2019-04-02 | 南京敏光视觉智能科技有限公司 | The detection system of vial open defect based on machine vision |
| CN111948228A (en) * | 2020-07-06 | 2020-11-17 | 中国电子科技集团公司第四十一研究所 | Industrial production line overall process visual detection system based on 5G communication cloud test |
-
2020
- 2020-12-30 CN CN202011611227.1A patent/CN112834522A/en active Pending
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH1114334A (en) * | 1997-06-25 | 1999-01-22 | Central Glass Co Ltd | Defect detecting method and device of netset or wired glass |
| CN201680171U (en) * | 2009-10-31 | 2010-12-22 | 比亚迪股份有限公司 | Polychromatic source used for vision testing unit |
| US20150226682A1 (en) * | 2012-09-14 | 2015-08-13 | Luoyang Landglass Technology Co., Ltd | Detection System Based on Modulation of Line Structured Laser Image of Glass |
| CN203283865U (en) * | 2013-04-25 | 2013-11-13 | 安徽凤阳玻璃有限公司 | Glass conveying device |
| CN204564598U (en) * | 2015-02-07 | 2015-08-19 | 深圳市品印宝智能科技有限公司 | Glass tube sorting unit and glass tube outward appearance automatic detection system |
| CN205679544U (en) * | 2016-05-31 | 2016-11-09 | 浙江嘉福玻璃有限公司 | Glass edge angular defect automatic detection device |
| CN106248686A (en) * | 2016-07-01 | 2016-12-21 | 广东技术师范学院 | Glass surface defects based on machine vision detection device and method |
| CN106583275A (en) * | 2016-10-17 | 2017-04-26 | 珠海格力电器股份有限公司 | Device and method for controlling flow direction of detected plate and visual detection equipment |
| CN109557111A (en) * | 2017-09-27 | 2019-04-02 | 南京敏光视觉智能科技有限公司 | The detection system of vial open defect based on machine vision |
| CN107966459A (en) * | 2017-12-27 | 2018-04-27 | 湖南航天天麓新材料检测有限责任公司 | A kind of trickle scuffing on-line measuring device of wide cut surface glass |
| CN207586145U (en) * | 2017-12-27 | 2018-07-06 | 湖南航天天麓新材料检测有限责任公司 | A kind of subtle scuffing on-line measuring device of wide cut surface glass |
| CN111948228A (en) * | 2020-07-06 | 2020-11-17 | 中国电子科技集团公司第四十一研究所 | Industrial production line overall process visual detection system based on 5G communication cloud test |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113945571A (en) * | 2021-10-15 | 2022-01-18 | 河南工业大学 | Glass defect detection production line based on automation and visual inspection technology |
| CN114226293A (en) * | 2021-12-30 | 2022-03-25 | 深圳市南极光电子科技股份有限公司 | Code scanning and re-judging method for display panel and code scanning and re-judging machine thereof |
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Application publication date: 20210525 |