JPWO2020070673A5 - - Google Patents

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JPWO2020070673A5
JPWO2020070673A5 JP2021518092A JP2021518092A JPWO2020070673A5 JP WO2020070673 A5 JPWO2020070673 A5 JP WO2020070673A5 JP 2021518092 A JP2021518092 A JP 2021518092A JP 2021518092 A JP2021518092 A JP 2021518092A JP WO2020070673 A5 JPWO2020070673 A5 JP WO2020070673A5
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glass
inclusions
analysis
different
wavelengths
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JP2022504079A (en
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ガラス中の含有物を検出する方法であって、前記ガラスが、以下を含む基礎ガラス組成物を含み、
Figure 2020070673000001


前記方法が、
少なくとも1つの光源から前記ガラスに向けてエネルギーを方向付けることと、
異なる波長での前記ガラスからの反射率値の少なくとも分析に基づいて、前記ガラス中の含有物の有無を判定することと、を含む、方法。
A method of detecting inclusions in glass, said glass comprising a base glass composition comprising:
Figure 2020070673000001


the method comprising:
directing energy from at least one light source toward the glass;
determining the presence or absence of inclusions in the glass based at least on analysis of reflectance values from the glass at different wavelengths.
前記少なくとも1つの光源が、前記ガラスに向けて赤外(IR)エネルギーを含むエネルギーを放出し、前記ガラス中の含有物の有無を前記判定することが、異なるIR波長での前記ガラスからの反射率値の少なくとも分析に基づく、請求項1に記載の方法。 The at least one light source emits energy, including infrared (IR) energy, toward the glass, and the determining the presence or absence of inclusions in the glass reflects reflections from the glass at different IR wavelengths. 2. The method of claim 1, based on at least analysis of rate values. 前記ガラス中の含有物の有無を前記判定することが、800~2,000nmの範囲内の異なるIR波長での前記ガラスからの反射率値の少なくとも分析に基づく、請求項1又は2に記載の方法。 3. The method of claim 1 or 2, wherein said determining the presence or absence of inclusions in said glass is based on at least analysis of reflectance values from said glass at different IR wavelengths within the range of 800-2,000 nm. Method. 前記ガラス中の含有物の有無を前記判定することが、900~1,700nmの範囲内の異なるIR波長での前記ガラスからの反射率値の少なくとも分析に基づく、請求項1~3のいずれか一項に記載の方法。 4. Any of claims 1-3, wherein said determining the presence or absence of inclusions in said glass is based on at least analysis of reflectance values from said glass at different IR wavelengths within the range of 900-1,700 nm. The method according to item 1. 前記ガラス中の含有物の有無を前記判定することが、950~1,250nmの範囲内の異なるIR波長での前記ガラスからの反射率値の少なくとも分析に基づく、請求項1~4のいずれか一項に記載の方法。 5. Any of claims 1-4, wherein said determining the presence or absence of inclusions in said glass is based on at least analysis of reflectance values from said glass at different IR wavelengths within the range of 950-1,250 nm. The method according to item 1. 前記ガラスと前記ガラスから反射エネルギーを受け取るためのカメラとの間に、少なくとも1つのバンドパスフィルタが設けられている、請求項1~5のいずれか一項に記載の方法。 A method according to any preceding claim, wherein at least one bandpass filter is provided between the glass and a camera for receiving reflected energy from the glass. 前記含有物が硫化ニッケルを含む、請求項1~6のいずれか一項に記載の方法。 The method of any one of claims 1-6, wherein the inclusions comprise nickel sulfide. 異なる波長での前記ガラスからの反射率値の少なくとも分析に基づいて、前記ガラス中の異なる材料の異なる含有物を識別し、区別することを更に含む、請求項1~7のいずれか一項に記載の方法。 8. The method of any one of claims 1-7, further comprising identifying and distinguishing between different inclusions of different materials in the glass based at least on analysis of reflectance values from the glass at different wavelengths. described method. 異なる波長での前記ガラスからの反射率値の少なくとも分析に基づいて、前記ガラス中の硫化ニッケル系含有物とCr系含有物とを識別し、区別することを更に含む、請求項1~8のいずれか一項に記載の方法。 of claims 1-8, further comprising identifying and distinguishing between nickel sulfide-based inclusions and Cr-based inclusions in the glass based on at least analysis of reflectance values from the glass at different wavelengths. A method according to any one of paragraphs. 異なる波長での前記ガラスからの反射率値の少なくとも分析に基づいて、前記ガラス中の硫化ニッケル系含有物と鉄系含有物とを識別し、区別することを更に含む、請求項1~9のいずれか一項に記載の方法。 of claims 1-9, further comprising identifying and distinguishing between nickel sulfide-based inclusions and iron-based inclusions in the glass based on at least analysis of reflectance values from the glass at different wavelengths. A method according to any one of paragraphs. 少なくとも含有物が検出されたかどうかに基づいて、前記ガラスの合否を判定することを更に含む、請求項1~10のいずれか一項に記載の方法。 11. The method of any one of claims 1-10, further comprising determining whether the glass is acceptable based at least on whether inclusions are detected. 前記光源がフロートライン上及び/又はフロートライン内に位置し、前記フロートラインのアニーリング徐冷窯の後に配置される、請求項1~11のいずれか一項に記載の方法。 A method according to any one of the preceding claims, wherein the light source is located on and/or within the float line and is arranged after the annealing lehr of the float line. ガラス中の含有物を検出する方法であって、前記方法が、
少なくとも1つの光源から前記ガラスに向けてエネルギーを方向付けることであって、前記ガラスが、以下
Figure 2020070673000002


を含む基礎ガラス組成物を含む、エネルギーを方向付けることと、
異なる赤外(IR)波長での前記ガラスからの反射率値の少なくとも分析に基づいて、前記ガラス中の硫化ニッケルを含む含有物の有無を判定することと、を含む、方法。
A method of detecting inclusions in glass, said method comprising:
directing energy from at least one light source toward the glass, the glass comprising:
Figure 2020070673000002


directing energy comprising a base glass composition comprising
determining the presence or absence of inclusions including nickel sulfide in the glass based at least on analysis of reflectance values from the glass at different infrared (IR) wavelengths.
前記ガラス中の含有物の有無を前記判定することが、800~2,000nmの範囲内の異なるIR波長での前記ガラスからの反射率値の少なくとも分析に基づく、請求項13に記載の方法。 14. The method of claim 13, wherein said determining the presence or absence of inclusions in said glass is based on at least analysis of reflectance values from said glass at different IR wavelengths within the range of 800-2,000 nm. 異なるIR波長での前記ガラスからの反射率値の少なくとも分析に基づいて、前記ガラス中の異なる材料の異なる含有物を識別し、区別することを更に含む、請求項13~14のいずれか一項に記載の方法。 15. Any one of claims 13-14, further comprising identifying and distinguishing between different inclusions of different materials in the glass based at least on analysis of reflectance values from the glass at different IR wavelengths. The method described in . ガラス中の含有物を検出するシステムであって、前記ガラスが、以下を含む基礎ガラス組成物を含み、
Figure 2020070673000003


前記システムが、
前記ガラスに向けてエネルギーを方向付けるための少なくとも1つの光源と、
異なる波長での前記ガラスからの分光反射率値及び/又は輝度値の少なくとも分析に基づいて、前記ガラス中の含有物の有無を判定するように構成されている、プロセッサと、を含む、システム。
A system for detecting inclusions in glass, said glass comprising a base glass composition comprising:
Figure 2020070673000003


said system
at least one light source for directing energy toward the glass;
a processor configured to determine the presence or absence of inclusions in the glass based at least on analysis of spectral reflectance and/or luminance values from the glass at different wavelengths.
前記少なくとも1つの光源が、前記ガラスに向けて赤外(IR)エネルギーを含むエネルギーを放出するように構成されており、前記プロセッサが、異なるIR波長での前記ガラスからの分光反射率値及び/又は輝度値の少なくとも分析に基づいて、前記ガラス中の含有物の有無を判定するように構成されている、請求項16に記載のシステム。 The at least one light source is configured to emit energy, including infrared (IR) energy, toward the glass, and the processor generates spectral reflectance values and/or spectral reflectance values from the glass at different IR wavelengths. 17. The system of claim 16, wherein the system is configured to determine the presence or absence of inclusions in the glass based at least on analysis of luminance values. 前記プロセッサが、800~2,000nmの範囲内の異なるIR波長での前記ガラスからの分光反射率値及び/又は輝度値の少なくとも分析に基づいて、前記ガラス中の含有物の有無を判定するように構成されている、請求項16~17のいずれか一項に記載のシステム。 wherein the processor determines the presence or absence of inclusions in the glass based at least on analysis of spectral reflectance and/or luminance values from the glass at different IR wavelengths in the range of 800-2,000 nm. The system according to any one of claims 16-17, wherein the system is configured in 前記プロセッサが、900~1,700nmの範囲内の異なるIR波長での前記ガラスからの分光反射率値及び/又は輝度値の少なくとも分析に基づいて、前記ガラス中の含有物の有無を判定するように構成されている、請求項16~18のいずれか一項に記載のシステム。 wherein the processor determines the presence or absence of inclusions in the glass based on at least analysis of spectral reflectance and/or luminance values from the glass at different IR wavelengths in the range of 900-1,700 nm. A system according to any one of claims 16 to 18, which is configured in 前記ガラスと前記ガラスから反射エネルギーを受け取るためのカメラとの間に、少なくとも1つのバンドパスフィルタが設けられている、請求項16~19のいずれか一項に記載のシステム。 A system according to any one of claims 16 to 19, wherein at least one bandpass filter is provided between said glass and a camera for receiving reflected energy from said glass. 前記含有物が硫化ニッケルを含む、請求項16~20のいずれか一項に記載のシステム。 The system of any one of claims 16-20, wherein said inclusions comprise nickel sulfide. 前記プロセッサが、異なる波長での前記ガラスからの分光反射率値及び/又は輝度値の少なくとも分析に基づいて、前記ガラス中の異なる材料の異なる含有物を識別し、区別するように更に構成されている、請求項16~21のいずれか一項に記載のシステム。 The processor is further configured to identify and distinguish different inclusions of different materials in the glass based on at least analysis of spectral reflectance values and/or luminance values from the glass at different wavelengths. A system according to any one of claims 16 to 21, comprising: ガラス中の含有物を検出する方法であって、前記方法が、
少なくとも1つの光源から前記ガラスに向けてエネルギーを方向付けることであって、前記ガラスが、以下
Figure 2020070673000004


を含む基礎ガラス組成物を含む、エネルギーを方向付けることと、
様々な波長での前記ガラスからの反射率値及び/又は輝度値の少なくとも分析に基づいて、前記ガラス中の含有物の有無を判定することと、を含む、方法。
A method of detecting inclusions in glass, said method comprising:
directing energy from at least one light source toward the glass, the glass comprising:
Figure 2020070673000004


directing energy comprising a base glass composition comprising
determining the presence or absence of inclusions in the glass based at least on analysis of reflectance and/or luminance values from the glass at different wavelengths.
前記少なくとも1つの光源が、前記ガラスに向けて赤外(IR)エネルギーを含むエネルギーを放出し、前記ガラス中の含有物の有無を前記判定することが、異なるIR波長での前記ガラスからの反射率値及び/又は輝度値の少なくとも分析に基づく、請求項23に記載の方法。 The at least one light source emits energy, including infrared (IR) energy, toward the glass, and the determining the presence or absence of inclusions in the glass reflects reflections from the glass at different IR wavelengths. 24. The method of claim 23, based on at least analysis of rate values and/or luminance values. 前記ガラス中の含有物の有無を前記判定することが、800~2,000nmの範囲内の様々なIR波長での前記ガラスからの反射率値及び/又は輝度値の少なくとも分析に基づく、請求項23~24のいずれか一項に記載の方法。 4. The method of claim 1, wherein said determining the presence or absence of inclusions in said glass is based on at least analysis of reflectance and/or luminance values from said glass at various IR wavelengths within the range of 800-2,000 nm. 25. The method according to any one of 23-24. 前記ガラス中の含有物の有無を前記判定することが、900~1,700nmの範囲内の様々なIR波長での前記ガラスからの反射率値及び/又は輝度値の少なくとも分析に基づく、請求項23~25のいずれか一項に記載の方法。 4. The method of claim 1, wherein said determining the presence or absence of inclusions in said glass is based on at least analysis of reflectance and/or luminance values from said glass at various IR wavelengths within the range of 900-1,700 nm. 26. The method according to any one of 23-25. 前記光源が前記ガラスの下方に配置され、前記ガラスからIRを受け取るカメラは、前記ガラスが前記光源と前記カメラとの間に配置されるように、前記ガラスの上方に配置される、請求項23~26のいずれか一項に記載の方法。 24. The light source is positioned below the glass and the camera receiving IR from the glass is positioned above the glass such that the glass is positioned between the light source and the camera. 27. The method of any one of claims 1-26.
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Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10753883B2 (en) 2017-06-07 2020-08-25 Guardian Glass, LLC Method and system for detecting inclusions in float glass
US11105488B2 (en) * 2017-12-04 2021-08-31 Leimac Ltd. Lighting device for inspection
CN111712473B (en) * 2018-03-07 2022-02-25 佳殿玻璃有限公司 Method and system for detecting inclusions in float glass based on wavelength analysis
US10481097B1 (en) * 2018-10-01 2019-11-19 Guardian Glass, LLC Method and system for detecting inclusions in float glass based on spectral reflectance analysis
CN116282869B (en) * 2023-03-24 2023-09-29 南京我乐家居股份有限公司 Intelligent production control method and system for toughened glass
CN117330521B (en) * 2023-12-01 2024-02-20 黑龙江中医药大学 Clinical laboratory uses blood smear system

Family Cites Families (41)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
NL128086C (en) 1957-05-03 1900-01-01
US3814946A (en) 1972-12-04 1974-06-04 Asahi Glass Co Ltd Method of detecting defects in transparent and semitransparent bodies
US3954432A (en) 1974-10-15 1976-05-04 Ppg Industries, Inc. Method for improving the quality of flat glass formed on a bath of molten tin
US4026656A (en) * 1975-09-02 1977-05-31 Owens-Illinois, Inc. Stone detector
DE3565893D1 (en) * 1984-12-14 1988-12-01 Flachglas Ag Method and device for inspecting transparent strip material, in particular flat glass ribbons
US5214008A (en) 1992-04-17 1993-05-25 Guardian Industries Corp. High visible, low UV and low IR transmittance green glass composition
US7071133B2 (en) 1993-11-16 2006-07-04 Ppg Industries Ohio, Inc. Colored glass compositions and-automotive vision panels with-reduced transmitted-color shift
FI101129B (en) 1995-01-13 1998-04-30 Vivoxid Oy New bioactive glasses and their use
TW581747B (en) * 1999-02-16 2004-04-01 Nikon Corp Synthetic quartz glass optical member for ultraviolet light
US6235666B1 (en) 1999-03-29 2001-05-22 Guardian Industries Corporation Grey glass composition and method of making same
AU765740B2 (en) 1999-06-11 2003-09-25 Vitro Flat Glass Llc Colored glass compositions and automotive vision panels with reduced transmitted color shift
AUPQ262299A0 (en) 1999-09-02 1999-09-23 Resolve Engineering Pty Ltd Detection of inclusions in glass
US6388745B2 (en) 2000-03-29 2002-05-14 Corning Incorporated Detecting inclusions in transparent sheets
US6610622B1 (en) 2002-01-28 2003-08-26 Guardian Industries Corp. Clear glass composition
US7169722B2 (en) 2002-01-28 2007-01-30 Guardian Industries Corp. Clear glass composition with high visible transmittance
DE10206082B4 (en) 2002-02-13 2004-12-09 Ce-Sys Gmbh Ilmenau Glass with a hardened surface layer and process for its production
US6953759B2 (en) 2002-08-26 2005-10-11 Guardian Industries Corp. Glass composition with low visible and IR transmission
DE10316707B4 (en) 2003-04-04 2006-04-27 Schott Ag Method and device for detecting defects in transparent material
EP1706730A1 (en) 2003-12-30 2006-10-04 Agency for Science, Technology and Research Method and apparatus for detection of inclusions in glass
US7743630B2 (en) 2005-05-05 2010-06-29 Guardian Industries Corp. Method of making float glass with transparent conductive oxide (TCO) film integrally formed on tin bath side of glass and corresponding product
GB0606217D0 (en) 2006-03-29 2006-05-10 Pilkington Plc Glazing inspection
EA200601026A1 (en) 2006-05-19 2007-08-31 Владимир Федорович Солинов METHOD OF DETECTING DEFECTS IN SHEET GLASS
US8677782B2 (en) 2006-07-25 2014-03-25 Guardian Industries Corp. Method of making glass including surface treatment with aluminum chloride at or just prior to annealing LEHR
BRPI0811820A2 (en) * 2007-07-11 2014-11-04 3M Innovative Properties Co "LAMINATED MATERIAL WITH FLOATING PICTURE IMAGE"
JP4726983B2 (en) * 2009-10-30 2011-07-20 住友化学株式会社 Defect inspection system, and defect inspection imaging apparatus, defect inspection image processing apparatus, defect inspection image processing program, recording medium, and defect inspection image processing method used therefor
TW201132963A (en) * 2010-02-08 2011-10-01 Sumitomo Chemical Co An inspection method for defect in a liquid crystal panel laminated with polarizing plates
US9181123B2 (en) 2012-12-07 2015-11-10 Linde Aktiengesellschaft Thermal imaging to optimize flame polishing
US9016094B2 (en) 2013-01-16 2015-04-28 Guardian Industries Corp. Water cooled oxygen lance for use in a float glass furnace and/or float glass furnace using the same
DE102013002602B4 (en) 2013-02-15 2022-05-05 Hegla Boraident Gmbh & Co. Kg Method and device for detecting particles in glass
DE102014205066A1 (en) 2014-03-19 2015-10-08 Schott Ag Prestressed glass article with laser engraving and manufacturing process
DE102014005932A1 (en) 2014-04-25 2015-10-29 Boraident Gmbh Method and apparatus for the selection and detection of nickel sulfide inclusions in glass
DE202014004779U1 (en) 2014-06-10 2014-07-01 Grenzebach Maschinenbau Gmbh Device for fast and reliable measurement of distortion errors in a produced float glass ribbon
KR102076605B1 (en) * 2014-10-08 2020-02-13 코닝 인코포레이티드 High strength glass-ceramics having petalite and lithium silicate structures
SG10202110739PA (en) * 2014-12-05 2021-11-29 Kla Tencor Corp Apparatus, method and computer program product for defect detection in work pieces
CN104597081A (en) 2014-12-29 2015-05-06 樊晖 Automatic detection equipment and detection method for internal defects of plain glass
BR102016028266A2 (en) * 2016-12-01 2018-06-19 Autaza Tecnologia Ltda - Epp METHOD AND SYSTEM FOR AUTOMATIC QUALITY INSPECTION OF MATERIALS
JP2018179698A (en) * 2017-04-11 2018-11-15 オムロン株式会社 Sheet inspection device
US10753883B2 (en) 2017-06-07 2020-08-25 Guardian Glass, LLC Method and system for detecting inclusions in float glass
CN111712473B (en) * 2018-03-07 2022-02-25 佳殿玻璃有限公司 Method and system for detecting inclusions in float glass based on wavelength analysis
BR112020014507A2 (en) 2018-03-07 2020-12-08 Guardian Glass, LLC METHOD AND SYSTEM FOR REDUCING FAILURES IN THE GLASS OF INCLUSIONS BASED ON NICKEL SULPHIDE
US10481097B1 (en) * 2018-10-01 2019-11-19 Guardian Glass, LLC Method and system for detecting inclusions in float glass based on spectral reflectance analysis

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