CN112505067A - Method for detecting defects of transparent glass after film coating - Google Patents

Method for detecting defects of transparent glass after film coating Download PDF

Info

Publication number
CN112505067A
CN112505067A CN202011101079.9A CN202011101079A CN112505067A CN 112505067 A CN112505067 A CN 112505067A CN 202011101079 A CN202011101079 A CN 202011101079A CN 112505067 A CN112505067 A CN 112505067A
Authority
CN
China
Prior art keywords
light intensity
intensity information
information value
coated
transparent material
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.)
Pending
Application number
CN202011101079.9A
Other languages
Chinese (zh)
Inventor
俞华芬
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.)
Individual
Original Assignee
Individual
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 Individual filed Critical Individual
Priority to CN202011101079.9A priority Critical patent/CN112505067A/en
Publication of CN112505067A publication Critical patent/CN112505067A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/95Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
    • G01N21/958Inspecting transparent materials or objects, e.g. windscreens

Landscapes

  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)

Abstract

The invention discloses a method for detecting defects of transparent glass after film coating. The method for detecting the defects of the transparent glass after coating realizes that the removal treatment of the coating layer is not needed in the detection process, reduces unnecessary steps, saves the time for implementing the method, eliminates the inherent error of test data, can truly reflect the quality of the coating layer in the coating process, is convenient for monitoring the coating processing quality of the coating process, and is beneficial to improving the quality of photovoltaic glass products.

Description

Method for detecting defects of transparent glass after film coating
Technical Field
The invention relates to the technical field of glass coating, in particular to a method for detecting defects of transparent glass after coating.
Background
In the production process of film-coated transparent materials (such as flat glass, inorganic glass, organic glass, acrylic and the like), quality control is an important link. At present, many production processes do not have automatic detection equipment and rely on manual detection to control quality. However, the method for manually detecting defects has the following problems: if the detection is missed, the false detection is carried out, the control standards of the glass output quality are inconsistent, and the subjective factors are more; the required quality data cannot be obtained in real time, and the statistics and query of the quality data are inconvenient; the detection efficiency is low, the automation degree is low, and the cost is high.
Some automatic detection equipment for the coated transparent material also exists in the prior art, although the detection equipment can detect the defects of the coated transparent material, the three-dimensional relative position of the defects in the coated transparent material cannot be identified on line, the equipment cannot be suitable for the special-shaped coated transparent material with rough surface, uneven surface and the like, a user cannot obtain visual distribution of the defects in the coated transparent material, and the equipment cannot detect the non-flat transparent material. However, the three-dimensional relative position of the defect in the material is an important index for guiding the analysis of the defect cause, the adjustment of the material production process, the grading of the finished material product and the like. In order to perform the above-mentioned correlation analysis on the product, offline sampling of the defect is often required, but offline analysis of the three-dimensional relative position of the defect of the coated transparent material results in poor real-time performance and slow reaction speed, and greatly affects the production operation efficiency and the product yield.
After the glass is coated, the light transmittance of the glass is changed compared with that of the original piece of glass before coating, the coating aims to increase the light transmittance of the whole glass, and the optical performance detection of the coated glass quantifies the increased light transmittance of the coated layer and is used for judging the quality of the coating process, judging the quality of the coated layer and evaluating the quality of the coated layer, so the detection of the light transmittance of the coated glass becomes particularly important.
The previous detection method for the light transmittance of the part of the film coating layer of the coated photovoltaic glass is mostly an integral measurement method, and mainly comprises the following steps: the non-online test method and the online test method cannot overcome inherent errors caused by different glasses or different test instruments, accurately quantize the light transmittance of the part of the film coating layer, and cannot well judge the quality of the film coating process, the quality of the film coating layer and evaluate the quality of the film coating layer.
Disclosure of Invention
The main objective of the present invention is to provide a method for detecting defects of a transparent glass after coating, which can solve the problems of the background art and can judge the light intensity information value in the transparent material after coating.
In order to achieve the above purposes, the technical scheme adopted by the invention is as follows:
a method for detecting defects of transparent glass after film coating comprises the following steps:
a, a detection system moves and controls an imaging device to continuously scan a coated transparent material when the coated transparent material is illuminated, and the light intensity of the coated transparent material is continuously detected;
step B, comparing the detected light intensity information values to obtain a maximum light intensity information value M;
step C, judging whether the real-time light intensity information value of the detection environment is larger than or equal to the preset condition value of the maximum light intensity information value M or whether the real-time detected light intensity information value is larger than or equal to a first light brightness absolute threshold value N;
d, when the real-time light intensity information value is larger than or equal to the maximum light intensity information value M or the light intensity information value is larger than or equal to the first light brightness absolute threshold value N, stopping the movement of the detection system, obtaining real image information of the defect and defect virtual image information imaged in a mirror reflection surface of the detection system, and obtaining the real image information of the defect for the special-shaped coated transparent material with a rough and uneven surface;
and E, when the special-shaped coated transparent material is judged to be unqualified, the detection control system sends out an instruction for removing the unqualified special-shaped coated transparent material.
In the method for detecting defects after the transparent glass is coated, the step a further includes a step a1, in which the combined light sources are controlled to irradiate the coated transparent material, and different illumination modes are provided by different combinations of the combined light sources in a time-sharing switching manner.
In the method for detecting the defects after the transparent glass is coated, the step D further includes a step D1, and when the real-time light intensity information value is smaller than the maximum light intensity information value M or the light intensity information value is smaller than the first light brightness absolute threshold value N, the intelligent device continues to move.
In the method for detecting defects after coating of the transparent glass, the predetermined condition value of the maximum light intensity information value M in the step C means that the real-time light intensity information value is 60-80% of the maximum light intensity information value M.
According to the method for detecting the defects of the coated transparent glass, the real-time light intensity information value is 70% of the maximum light intensity information value M.
According to the method for detecting the defects after the transparent glass is coated, the combined light source comprises one or more of a reflection bright light source, a reflection dark light source, a transmission bright light source, a transmission dark light source and a long-shot dark light source.
In the method for detecting the defects of the coated transparent glass, the imaging device comprises an imaging component for collecting optical signals and converting the optical signals into electric signals, and the imaging component is a CCD linear array imaging component or a CMOS linear array imaging component or other linear array imaging components; the mirror imaging assembly is a low-transmittance coated mirror.
According to the method for detecting the defects of the coated transparent glass, the number of the imaging devices is multiple, and the imaging devices are arranged above and/or below the coated transparent material.
The invention has the advantages that: the method for detecting the defects of the transparent glass after coating realizes that the removal treatment of the coating layer is not needed in the detection process, reduces unnecessary steps, saves the time for implementing the method, eliminates the inherent error of test data, can truly reflect the quality of the coating layer in the coating process, is convenient for monitoring the coating processing quality of the coating process, and is beneficial to improving the quality of photovoltaic glass products.
Detailed Description
The following description is presented to disclose the invention so as to enable any person skilled in the art to practice the invention. The preferred embodiments in the following description are given by way of example only, and other obvious variations will occur to those skilled in the art.
The invention provides a method for detecting defects of transparent glass after film coating, which comprises the following steps:
a, a detection system moves and controls an imaging device to continuously scan the coated transparent material when the coated transparent material is illuminated, and the light intensity of the coated transparent material is continuously detected;
step B, comparing the detected light intensity information values to obtain a maximum light intensity information value M;
step C, judging whether the real-time light intensity information value of the detection environment is larger than or equal to the preset condition value of the maximum light intensity information value M or whether the real-time detected light intensity information value is larger than or equal to a first light brightness absolute threshold value N;
d, when the real-time light intensity information value is larger than or equal to the maximum light intensity information value M or the light intensity information value is larger than or equal to the first light brightness absolute threshold value N, stopping the movement of the detection system, obtaining real image information of the defect and defect virtual image information imaged in a mirror reflection surface of the detection system, and obtaining the real image information of the defect for the special-shaped coated transparent material with a rough and uneven surface;
and E, when the special-shaped coated transparent material is judged to be unqualified, the detection control system sends out an instruction for removing the unqualified special-shaped coated transparent material.
Further, in a preferred embodiment of the method for detecting defects after coating of transparent glass, the step a further includes a step a1, in which the combined light sources are controlled to irradiate the coated transparent material, and different illumination modes are provided by different combinations of the combined light sources through time-sharing switching.
Further, in a preferred embodiment of the method for detecting defects after the transparent glass is coated, the step D further includes a step D1, when the real-time light intensity information value is smaller than the maximum light intensity information value M or the light intensity information value is smaller than the first absolute light intensity threshold N, the intelligent device continues to move.
Further, in a preferred embodiment of the method for detecting defects after coating a transparent glass according to the present invention, the predetermined condition value of the maximum light intensity information value M in the step C is that the real-time light intensity information value is 60-80% of the maximum light intensity information value M.
Further, in a preferred embodiment of the method for detecting defects after coating of transparent glass according to the present invention, the real-time light intensity information value is 70% of the maximum light intensity information value M. The first light brightness absolute threshold value N is obtained when the light brightness is 300-350 lux.
Contain removal module, drive module, power module and control module, removal module sets up at detecting system's top, control module with drive module connects under control module's effect, drive module drives removal module removes, still includes photosensitive sensor, sets up in the smart machine bottom for detect light intensity, convey light intensity information value to control module.
The control module includes: the information storage submodule is used for presetting a first light brightness absolute threshold N; and the information processing submodule is used for obtaining a maximum light intensity information value M according to the light intensity information value detected by the photosensitive sensor.
The light intensity information value detected by the photosensitive sensor in real time is larger than or equal to a first light intensity absolute threshold value N, or the light intensity information value detected by the photosensitive sensor in real time is larger than or equal to 60% -80% of a maximum light intensity information value M, and when the brightness is not lower than 60% -80% of the maximum light intensity information value M, the detection system is located at the outer edge of the coated transparent material.
Further, in a preferred embodiment of the method for detecting defects after coating of transparent glass, the combined light source includes one or more of a reflective bright light source, a reflective dark light source, a transmissive bright light source, a transmissive dark light source, and a transmissive dark light source.
Further, in a preferred embodiment of the method for detecting defects after the transparent glass is coated with a film, the imaging device comprises an imaging component for collecting optical signals and converting the optical signals into electrical signals, wherein the imaging component is a CCD linear array imaging component or a CMOS linear array imaging component or other linear array imaging components; the mirror imaging assembly is a low-transmittance coated mirror.
In a preferred embodiment of the method for detecting defects after coating of transparent glass according to the present invention, the number of the imaging devices is plural, and the plural imaging devices are disposed above and/or below the coated transparent material.
By introducing at least one mirror imaging assembly, the imaging device has an independent imaging mode and a combined imaging mode under the control of the controller, and is matched with a plurality of illumination modes provided by the combined light source, so that multi-channel image acquisition of the defects of the coated transparent material can be realized, multi-channel image data of the surface and/or internal defects of the coated transparent material in different illumination modes and imaging modes can be captured, and defect images of the surface and/or internal defects of the coated transparent material in the mirror imaging assembly are captured by controlling the change of the imaging mode, thereby overcoming the limitation that the imaging device is only suitable for flat coated transparent materials in the prior art. Compared with the existing defect detection system, the method greatly enriches the information quantity of image acquisition, improves the accuracy and precision of defect information, improves the detection rate and recognition rate of defects of the coated transparent material, facilitates the subsequent analysis of specific three-dimensional positions of the defects of the product and the analysis of the types of the defects of the product, is favorable for improving the online processing quality of the coated transparent material, and has wide application value.
The method for detecting the defects of the transparent glass after coating realizes that the removal treatment of the coating layer is not needed in the detection process, reduces unnecessary steps, saves the time for implementing the method, eliminates the inherent error of test data, can truly reflect the quality of the coating layer in the coating process, is convenient for monitoring the coating processing quality of the coating process, and is beneficial to improving the quality of photovoltaic glass products.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are merely illustrative of the principles of the invention, but that various changes and modifications may be made without departing from the spirit and scope of the invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.

Claims (8)

1. A method for detecting defects of transparent glass after film coating is characterized by comprising the following steps:
a, a detection system moves and controls an imaging device to continuously scan the coated transparent material when the coated transparent material is illuminated, and the light intensity of the coated transparent material is continuously detected;
step B, comparing the detected light intensity information values to obtain a maximum light intensity information value M;
step C, judging whether the real-time light intensity information value of the detection environment is larger than or equal to the preset condition value of the maximum light intensity information value M or whether the real-time detected light intensity information value is larger than or equal to a first light brightness absolute threshold value N;
d, when the real-time light intensity information value is larger than or equal to the maximum light intensity information value M or the light intensity information value is larger than or equal to the first light brightness absolute threshold value N, stopping the movement of the detection system, obtaining real image information of the defect and defect virtual image information imaged in a mirror reflection surface of the detection system, and obtaining the real image information of the defect for the special-shaped coated transparent material with a rough and uneven surface;
and E, when the special-shaped coated transparent material is judged to be unqualified, the detection control system sends out an instruction for removing the unqualified special-shaped coated transparent material.
2. The method for detecting the defects of the coated transparent glass as claimed in claim 1, wherein the step A further comprises a step A1 of controlling the combined light sources to irradiate the coated transparent material, and providing different illumination modes by different combinations of the combined light sources through time-sharing switching.
3. The method according to claim 1, wherein the step D further comprises a step D1, wherein when the real-time light intensity information value is less than the maximum light intensity information value M or the light intensity information value is less than the first absolute light intensity threshold value N, the intelligent device continues to move.
4. The method of claim 1, wherein the predetermined condition value of the maximum light intensity information value M in step C is that the real-time light intensity information value is 60-80% of the maximum light intensity information value M.
5. The method of claim 4, wherein the real-time light intensity information value is 70% of the maximum light intensity information value M.
6. The method of claim 1, wherein the combined light source comprises one or more of a reflective bright light source, a reflective dark light source, a transmissive bright light source, a transmissive dark light source, and a transmissive dark light source.
7. The method for detecting the defects of the transparent glass after being coated with the film as claimed in claim 1, wherein the imaging device comprises an imaging component for collecting optical signals and converting the optical signals into electric signals, and the imaging component is a CCD linear array imaging component, a CMOS linear array imaging component or other linear array imaging components; the mirror imaging assembly is a low-transmittance coated mirror.
8. The method for detecting the defects of the transparent glass after being coated according to claim 1, wherein the number of the imaging devices is multiple, and a plurality of the imaging devices are arranged above and/or below the transparent material after being coated.
CN202011101079.9A 2020-10-15 2020-10-15 Method for detecting defects of transparent glass after film coating Pending CN112505067A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011101079.9A CN112505067A (en) 2020-10-15 2020-10-15 Method for detecting defects of transparent glass after film coating

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011101079.9A CN112505067A (en) 2020-10-15 2020-10-15 Method for detecting defects of transparent glass after film coating

Publications (1)

Publication Number Publication Date
CN112505067A true CN112505067A (en) 2021-03-16

Family

ID=74953828

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011101079.9A Pending CN112505067A (en) 2020-10-15 2020-10-15 Method for detecting defects of transparent glass after film coating

Country Status (1)

Country Link
CN (1) CN112505067A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115100102A (en) * 2022-05-10 2022-09-23 厦门微亚智能科技有限公司 Coated lens defect detection method, device and equipment and readable storage medium
CN117388314A (en) * 2023-12-13 2024-01-12 徐州丰诚新材料科技有限公司 Intelligent detection method and system for molding temperature of optical glass

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN2916622Y (en) * 2006-07-05 2007-06-27 中国科学院上海光学精密机械研究所 Real-time measuring device of film spectrum
CN101832945A (en) * 2010-04-29 2010-09-15 中国科学院上海技术物理研究所 Online detection method and device for defects of coated glass film
CN202502047U (en) * 2012-03-29 2012-10-24 北京奥博泰科技有限公司 Float glass film layer online measuring device
JP2017110949A (en) * 2015-12-14 2017-06-22 Jsr株式会社 Film checkup method, and film checkup device
CN107957425A (en) * 2017-12-08 2018-04-24 湖南科创信息技术股份有限公司 Transparent material defect detecting system and method
CN108956613A (en) * 2018-05-04 2018-12-07 湖南科创信息技术股份有限公司 Glass tin defects vision identification system
CN110967303A (en) * 2020-01-02 2020-04-07 彭忠祥 Online continuous detection system for quality of online coating film of float glass

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN2916622Y (en) * 2006-07-05 2007-06-27 中国科学院上海光学精密机械研究所 Real-time measuring device of film spectrum
CN101832945A (en) * 2010-04-29 2010-09-15 中国科学院上海技术物理研究所 Online detection method and device for defects of coated glass film
CN202502047U (en) * 2012-03-29 2012-10-24 北京奥博泰科技有限公司 Float glass film layer online measuring device
JP2017110949A (en) * 2015-12-14 2017-06-22 Jsr株式会社 Film checkup method, and film checkup device
CN107957425A (en) * 2017-12-08 2018-04-24 湖南科创信息技术股份有限公司 Transparent material defect detecting system and method
CN108956613A (en) * 2018-05-04 2018-12-07 湖南科创信息技术股份有限公司 Glass tin defects vision identification system
CN110967303A (en) * 2020-01-02 2020-04-07 彭忠祥 Online continuous detection system for quality of online coating film of float glass

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115100102A (en) * 2022-05-10 2022-09-23 厦门微亚智能科技有限公司 Coated lens defect detection method, device and equipment and readable storage medium
CN117388314A (en) * 2023-12-13 2024-01-12 徐州丰诚新材料科技有限公司 Intelligent detection method and system for molding temperature of optical glass
CN117388314B (en) * 2023-12-13 2024-02-27 徐州丰诚新材料科技有限公司 Intelligent detection method and system for molding temperature of optical glass

Similar Documents

Publication Publication Date Title
US10782248B2 (en) Automatic detection device and method for detecting surface detects of large caliber cambered optical element
CN108956645A (en) A kind of the optical mirror slip defect detecting device and method of more vision systems
CN102590218B (en) Device and method for detecting micro defects on bright and clean surface of metal part based on machine vision
CN103196554B (en) System and method for testing and adjusting light intensity uniformity of light source
CN112505067A (en) Method for detecting defects of transparent glass after film coating
CN111612737B (en) Artificial board surface flaw detection device and detection method
CN109406526A (en) A kind of resin lens smog defect detecting device
CN112268514A (en) Power battery pole piece coating uniformity online metering test system
Li et al. System design for PCB defects detection based on AOI technology
CN213933620U (en) Polarized light source and surface defect detection device
WO2024160208A1 (en) Detection method, detection device and detection system
CN104132945A (en) On-line surface quality visual inspection device for bar based on optical fiber conduction
CN209858405U (en) PCB defect detection system device based on machine optics
CN201622061U (en) System for measuring surface size of product
CN108732184A (en) A kind of apparatus and method of resin lens leakage film defects detection
CN202351182U (en) Online high-speed detection system for defects on surface of tinplate
CN113624458B (en) Film uniformity detecting system based on double-path full-projection light
CN213543477U (en) Power battery pole piece coating uniformity online metering test system
CN112025519B (en) Detect polishing integration smart machine
CN113984790A (en) Lens quality detection method and device
CN212031321U (en) Portable detection device suitable for melt-blown fabric on-site detection
CN209387542U (en) A kind of detection device for eliminating material shade
CN111323425A (en) Multi-camera visual detection device and method
CN218272012U (en) PCBA rubber coating intelligence visual detection equipment
CN115825078A (en) Resin lens defect detection device and method

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20210316

RJ01 Rejection of invention patent application after publication