CN111912967A - Classification and identification method of large-size glass substrate - Google Patents

Classification and identification method of large-size glass substrate Download PDF

Info

Publication number
CN111912967A
CN111912967A CN202010812499.1A CN202010812499A CN111912967A CN 111912967 A CN111912967 A CN 111912967A CN 202010812499 A CN202010812499 A CN 202010812499A CN 111912967 A CN111912967 A CN 111912967A
Authority
CN
China
Prior art keywords
defect
glass
coordinates
identified
axis
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
CN202010812499.1A
Other languages
Chinese (zh)
Inventor
朱永迁
侯建伟
朱猛
权立振
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.)
Bengbu Zhongguangdian Technology Co Ltd
Original Assignee
Bengbu Zhongguangdian Technology Co Ltd
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 Bengbu Zhongguangdian Technology Co Ltd filed Critical Bengbu Zhongguangdian Technology Co Ltd
Priority to CN202010812499.1A priority Critical patent/CN111912967A/en
Publication of CN111912967A publication Critical patent/CN111912967A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/38Concrete; Lime; Mortar; Gypsum; Bricks; Ceramics; Glass
    • G01N33/386Glass
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B21/00Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/901Indexing; Data structures therefor; Storage structures

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Databases & Information Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • Immunology (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • Medicinal Chemistry (AREA)
  • Pathology (AREA)
  • Software Systems (AREA)
  • Ceramic Engineering (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Food Science & Technology (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)

Abstract

The invention discloses a classifying and identifying method of a large-size glass substrate, which comprises the following steps: a. establishing a defect classification code table according to the defect types of the glass substrate; b. establishing a plane rectangular coordinate system, and determining the origin of coordinates of the glass to be identified; c. determining an X axis of glass to be marked; d. determining the Y axis of the glass to be marked; e. drawing a glass plane rectangular coordinate graph according to the determined glass coordinate system to be identified; f. judging the defect to be located in the area range of the glass to be identified, and distinguishing the defect by adopting colors, wherein the area range refers to the working surface, the non-working surface or the glass body of the glass to be identified; g. identifying the defect position parallel to the X axis by using coordinates; h. identifying the defect position parallel to the Y axis by using coordinates; i. merging and marking the defect types, the area ranges and the defect coordinates, and establishing a database for storing marking results; the method can be used for quickly, accurately and uniquely identifying the glass defects and is convenient for electronic management.

Description

Classification and identification method of large-size glass substrate
Technical Field
The invention relates to the technical field of glass defect inspection, in particular to a classifying and identifying method for a large-size glass substrate.
Background
The surface inspection of the large-size glass substrate confirms the existence of the defects by using a method combining an inspection machine and manual reinspection, the defects need to be identified, and at present, various methods are used by various families in China to identify the positions of the defects.
Currently, the marking method near the shortest characteristic position of the glass is generally adopted, for example:
1. 500mm from a certain angle at a certain orientation, example: c3 corner 500mm left lower part)
2. 100mm in a certain orientation from a certain edge, example: left short side and right side 100mm
3. At the glass center point mill orientation 700mm, example: the center point is 700mm to the right
The conventional identification method has the following disadvantages:
firstly, the defect position identification has no uniqueness, and the labeling coordinates of the same position are different according to different characteristic positions.
Secondly, the defect position marks are not uniform, and confusion is easy to occur in different procedures.
Thirdly, the defect position identification is not standard, which easily causes the understanding error.
And fourthly, graphical marking and classification marking are not achieved, and a countermeasure is inconvenient.
And fifthly, the electronic file is not convenient to inquire and trace.
Disclosure of Invention
The invention aims to provide a classifying and identifying method for a large-size glass substrate, which can quickly, accurately and uniquely identify glass defects and is convenient for electronic management.
The technical scheme adopted by the invention for solving the technical problems is as follows:
a classifying and marking method for large-size glass substrates comprises the following steps:
a. establishing a defect classification code table according to the defect types of the glass substrate;
b. establishing a plane rectangular coordinate system, and determining the origin of coordinates of the glass to be identified;
c. determining an X axis of glass to be marked;
d. determining the Y axis of the glass to be marked;
e. drawing a glass plane rectangular coordinate graph according to the determined glass coordinate system to be identified;
f. judging the defect to be located in the area range of the glass to be identified, and distinguishing the defect by adopting colors, wherein the area range refers to the working surface, the non-working surface or the glass body of the glass to be identified;
g. identifying the defect position parallel to the X axis by using coordinates;
h. identifying the defect position parallel to the Y axis by using coordinates;
i. and merging and marking the defect types, the area ranges and the defect coordinates, and establishing a database for storing marking results.
Further, the defect types of the step a comprise edge processing defects, surface processing defects, cleaning defects, vitreous body defects, glass surface defects and conventional defects.
Further, the processing defects comprise chipping, cracking, under grinding, over grinding and edge burning.
Further, the surface processing defects comprise unqualified waviness, unqualified roughness, grinding scratches, under grinding, over grinding and grinding liquid residues.
Further, the cleaning defects comprise dirt, wheel marks and water stains.
Further, the vitreous defects include bubbles, stones, PT, striae, and tin penetration.
Further, the glass surface defects comprise scratches, ADG and sucker marks.
Further, the conventional defects include chipping and particle defects.
The defect position identification has uniqueness, is uniform and cannot be confused among different procedures; through defect classification and graphical identification, the identification is easy to understand; in addition, the defects are identified and then stored through a database, so that the defects can be conveniently inquired and traced.
Drawings
The invention is further illustrated with reference to the following figures and examples:
FIG. 1 is a schematic of the present invention.
Detailed Description
As shown in fig. 1, the present invention provides a classifying and marking method for a large-sized glass substrate, comprising the steps of:
a. establishing a defect classification code table according to the defect types of the glass substrate;
the defect types comprise edge processing defects, surface processing defects, cleaning defects, glass body defects, glass surface defects and conventional defects;
the processing defects comprise chipping, cracking, under grinding, over grinding and edge burning;
the surface processing defects comprise unqualified waviness, unqualified roughness, grinding scratch, under grinding, over grinding and grinding fluid residue;
cleaning defects comprise dirt, wheel marks and water stains;
the defects of the vitreous body comprise bubbles, stones, PT, stripes and tin penetration;
the defects of the glass surface comprise scratches, ADG and sucker marks;
conventional defects include debris, particle defects;
the established defect classification code table is shown in table 1:
Figure DEST_PATH_IMAGE002
TABLE 1
b. Establishing a plane rectangular coordinate system, and determining the origin of coordinates of the glass to be identified;
according to different glass flow sheet directions, different coordinate systems can be selected to mark the defect position, including but not limited to a first quadrant coordinate, a second quadrant coordinate, a fourth quadrant coordinate and a fourth quadrant coordinate;
in the embodiment, the first quadrant coordinate is adopted, so that the lower left corner of the glass is determined to be the origin of the surface coordinate of the glass;
c. determining an X axis of glass to be marked; preferentially selecting the direction parallel to the long edge of the glass as an X axis, and also selecting the direction parallel to the flow sheet direction as the X axis;
d. determining the Y axis of the glass to be marked; preferentially selecting the direction parallel to the short edge of the glass as a Y axis, and also selecting the direction vertical to the flow sheet as the Y axis;
e. drawing a glass plane rectangular coordinate graph according to the determined glass coordinate system to be identified;
f. judging the defect to be located in the area range of the glass to be identified, and distinguishing the defect by adopting colors, wherein the area range refers to the working surface, the non-working surface or the glass body of the glass to be identified;
in the embodiment, the surface A is a working surface, the surface B is a non-working surface, the surface I is in a vitreous body, and the surface A is marked by red, the surface B is marked by blue, and the surface I is marked by purple;
g. identifying the defect position parallel to the X axis by using coordinates; such as defective W-WH A surfaces (X450-1050, Y1880);
h. identifying the defect position parallel to the Y axis by using coordinates; such as defect V-ST B plane (X285, Y975-1800);
for the defects of the similar rectangular area, using diagonal coordinates of the rectangle to mark the area where the defects are located; (X1, Y1: X2, Y2), for example, defect P-NW A face (X1675, Y215: X2450, Y935);
for a circle-like region, the center point coordinates are used, and the diameter identifies the region, such as defect: W-ST B plane (X2100, Y1650, R400) and defect V-ST I plane (X: 700, Y650, R10);
for the defect of a certain edge, coordinate definition can be directly used, and the edges of the C3 corner and the C4 corner in the figure can be marked as X2600 edges;
i. and merging and marking the defect types, the area ranges and the defect coordinates, and establishing a database for storing marking results.
The foregoing is merely a preferred embodiment of the invention and is not intended to limit the invention in any manner; those skilled in the art can make numerous possible variations and modifications to the present teachings, or modify equivalent embodiments to equivalent variations, without departing from the scope of the present teachings, using the methods and techniques disclosed above. Therefore, any simple modification, equivalent replacement, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention.

Claims (8)

1. A classifying and marking method for a large-size glass substrate is characterized by comprising the following steps:
a. establishing a defect classification code table according to the defect types of the glass substrate;
b. establishing a plane rectangular coordinate system, and determining the origin of coordinates of the glass to be identified;
c. determining an X axis of glass to be marked;
d. determining the Y axis of the glass to be marked;
e. drawing a glass plane rectangular coordinate graph according to the determined glass coordinate system to be identified;
f. judging the defect to be located in the area range of the glass to be identified, and distinguishing the defect by adopting colors, wherein the area range refers to the working surface, the non-working surface or the glass body of the glass to be identified;
g. identifying the defect position parallel to the X axis by using coordinates;
h. identifying the defect position parallel to the Y axis by using coordinates;
i. and merging and marking the defect types, the area ranges and the defect coordinates, and establishing a database for storing marking results.
2. The method as claimed in claim 1, wherein the defect types of step a include edge processing defect, surface processing defect, cleaning defect, glass body defect, glass surface defect and general defect.
3. The method as claimed in claim 2, wherein the processing defects include chipping, cracking, under-grinding, over-grinding and edge burning.
4. The method as claimed in claim 2, wherein the surface processing defects include waviness defect, roughness defect, grinding scratch, under grinding, over grinding and grinding fluid residue.
5. The method as claimed in claim 2, wherein the cleaning defects include smudging, wheel marks, and water stains.
6. The method as claimed in claim 2, wherein the glass bulk defect comprises bubble, stone, PT, streak, tin penetration.
7. The method as claimed in claim 2, wherein the glass surface defects include scratches, ADG, suction cup marks.
8. The method as claimed in claim 2, wherein the normal defects include chips and particle defects.
CN202010812499.1A 2020-08-13 2020-08-13 Classification and identification method of large-size glass substrate Pending CN111912967A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010812499.1A CN111912967A (en) 2020-08-13 2020-08-13 Classification and identification method of large-size glass substrate

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010812499.1A CN111912967A (en) 2020-08-13 2020-08-13 Classification and identification method of large-size glass substrate

Publications (1)

Publication Number Publication Date
CN111912967A true CN111912967A (en) 2020-11-10

Family

ID=73284482

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010812499.1A Pending CN111912967A (en) 2020-08-13 2020-08-13 Classification and identification method of large-size glass substrate

Country Status (1)

Country Link
CN (1) CN111912967A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112667834A (en) * 2020-12-23 2021-04-16 深圳开立生物医疗科技股份有限公司 Image annotation method and related device
CN113837528A (en) * 2021-08-04 2021-12-24 山西光兴光电科技有限公司 Method for determining position of station causing surface defect of substrate glass
CN114252457A (en) * 2022-03-01 2022-03-29 潍坊佳昇光电科技有限公司 Method for analyzing scratch reasons of carrier plate glass

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2000068341A (en) * 1998-08-20 2000-03-03 Hitachi Ltd Yield predicting method and apparatus thereof, and manufacture of substrate
JP2000269276A (en) * 1999-03-16 2000-09-29 Toshiba Corp Method and system for analyzing defect
CN102087985A (en) * 2009-12-03 2011-06-08 无锡华润上华半导体有限公司 Wafer defect detecting method
CN104752252A (en) * 2013-12-30 2015-07-01 中芯国际集成电路制造(上海)有限公司 Crystal back defect representation method
CN106057694A (en) * 2016-05-24 2016-10-26 瀚天天成电子科技(厦门)有限公司 Transparent material defect analysis method
CN107577070A (en) * 2017-09-04 2018-01-12 深圳市华星光电半导体显示技术有限公司 Obtain the method and defects of liquid crystal display panel positioner of defects of liquid crystal display panel position
CN108445020A (en) * 2018-01-31 2018-08-24 彩虹显示器件股份有限公司 A kind of glass substrate defect aggregation recognition methods

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2000068341A (en) * 1998-08-20 2000-03-03 Hitachi Ltd Yield predicting method and apparatus thereof, and manufacture of substrate
JP2000269276A (en) * 1999-03-16 2000-09-29 Toshiba Corp Method and system for analyzing defect
CN102087985A (en) * 2009-12-03 2011-06-08 无锡华润上华半导体有限公司 Wafer defect detecting method
CN104752252A (en) * 2013-12-30 2015-07-01 中芯国际集成电路制造(上海)有限公司 Crystal back defect representation method
CN106057694A (en) * 2016-05-24 2016-10-26 瀚天天成电子科技(厦门)有限公司 Transparent material defect analysis method
CN107577070A (en) * 2017-09-04 2018-01-12 深圳市华星光电半导体显示技术有限公司 Obtain the method and defects of liquid crystal display panel positioner of defects of liquid crystal display panel position
CN108445020A (en) * 2018-01-31 2018-08-24 彩虹显示器件股份有限公司 A kind of glass substrate defect aggregation recognition methods

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
李等: "水果分级与表面缺陷检测研究", 《计算机工程与设计》 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112667834A (en) * 2020-12-23 2021-04-16 深圳开立生物医疗科技股份有限公司 Image annotation method and related device
CN113837528A (en) * 2021-08-04 2021-12-24 山西光兴光电科技有限公司 Method for determining position of station causing surface defect of substrate glass
CN113837528B (en) * 2021-08-04 2024-03-22 山西光兴光电科技有限公司 Method for determining position of station causing defect on surface of substrate glass
CN114252457A (en) * 2022-03-01 2022-03-29 潍坊佳昇光电科技有限公司 Method for analyzing scratch reasons of carrier plate glass

Similar Documents

Publication Publication Date Title
CN111912967A (en) Classification and identification method of large-size glass substrate
US7125320B1 (en) Apparatus and method for grinding and/or polishing an edge of a glass sheet
JP5757831B2 (en) Cutting blade tip shape detection method
CN102947238B (en) The manufacture method of glass substrate and glass substrate
TWI713707B (en) Component manufacturing method and grinding device
TWI520813B (en) Diamond screening apparatus
CN102046346A (en) Method for chamfering brittle material substrate
CN102466579B (en) Preparation method for TEM sample
JP2012027176A (en) Substrate for photomask
US7623228B1 (en) Front face and edge inspection
CN210198296U (en) Flatness detection machine tool dish
CN104282587A (en) Method for detecting edge defect of wafer
JP2011207739A (en) Glass substrate
TW200631156A (en) Tracking and marking specimens having defects formed during laser via drilling
CN218455449U (en) Quartz ring flatness detection device
JP2006026845A (en) Adjustment method for tool position of chamfering machine
JP2014207354A (en) Edge detection apparatus
CN207344263U (en) The locating and detecting device of double-workbench switching fabric
CN115958471A (en) Photomask substrate processing method
CN102446291A (en) Classification management method for plate-like body
CN218995749U (en) Non-contact observation device
CN207344262U (en) A kind of lathe turntable and pallet sealing propertytest system and lathe
CN106596226A (en) Sample preparation method and sample observation method for three-dimensional MOS (metal oxide semiconductor) memory chip
CN202217650U (en) Binding platform
CN216413035U (en) Positioning stage for Notch-containing wafer applied to engraving and milling machine

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
RJ01 Rejection of invention patent application after publication

Application publication date: 20201110