JPWO2022269301A5 - - Google Patents
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- JPWO2022269301A5 JPWO2022269301A5 JP2023529138A JP2023529138A JPWO2022269301A5 JP WO2022269301 A5 JPWO2022269301 A5 JP WO2022269301A5 JP 2023529138 A JP2023529138 A JP 2023529138A JP 2023529138 A JP2023529138 A JP 2023529138A JP WO2022269301 A5 JPWO2022269301 A5 JP WO2022269301A5
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- intensity distribution
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- evaluation device
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- painted surface
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- 239000011248 coating agent Substances 0.000 claims 42
- 238000000576 coating method Methods 0.000 claims 42
- 238000011156 evaluation Methods 0.000 claims 42
- 238000013210 evaluation model Methods 0.000 claims 6
- 239000000463 material Substances 0.000 claims 5
- 230000004044 response Effects 0.000 claims 4
- 238000000149 argon plasma sintering Methods 0.000 claims 3
- 230000001678 irradiating effect Effects 0.000 claims 3
- 230000000737 periodic effect Effects 0.000 claims 3
- 238000010801 machine learning Methods 0.000 claims 2
- 239000003973 paint Substances 0.000 claims 2
- 238000005259 measurement Methods 0.000 claims 1
Claims (17)
第１強度分布を有する入射光を前記塗装面に照射する光源部と、
前記塗装面からの反射光が有する第２強度分布を取得する強度取得部と、
コントローラと、を備える塗装評価装置であって、
前記コントローラは、
前記湾曲形状の平面形状からのズレによる、前記第２強度分布に含まれる前記塗装面での光の散乱成分を前記形状情報に基づいて算出し、
算出した前記散乱成分に基づいて、基準強度分布に対応付けられる前記第１強度分布を設定し、
前記第２強度分布を含む入力に対して前記塗装面の鮮映性の評価値を出力する評価モデルを用いて、前記第２強度分布に対応する評価値を推定すること
を特徴とする塗装評価装置。 a shape acquisition unit that acquires shape information representing a curved shape of a coating surface;
a light source unit that irradiates the coating surface with incident light having a first intensity distribution;
an intensity acquisition unit that acquires a second intensity distribution of the reflected light from the painted surface;
A coating evaluation device comprising:
The controller:
Calculating a light scattering component at the coating surface, which is included in the second intensity distribution and is caused by a deviation of the curved shape from a planar shape, based on the shape information;
setting the first intensity distribution corresponding to a reference intensity distribution based on the calculated scattered components;
A coating evaluation device characterized by estimating an evaluation value corresponding to the second intensity distribution using an evaluation model that outputs an evaluation value of the sharpness of the coating surface in response to an input including the second intensity distribution.
前記ズレが小さいほど、前記基準強度分布と前記第１強度分布の間の差分は小さく、
前記湾曲形状が平面形状である場合、前記基準強度分布と前記第１強度分布は一致すること
を特徴とする塗装評価装置。 The coating evaluation device according to claim 1,
the smaller the deviation, the smaller the difference between the reference intensity distribution and the first intensity distribution;
A coating evaluation device, characterized in that, when the curved shape is a planar shape, the reference intensity distribution and the first intensity distribution are identical to each other.
前記コントローラは、前記散乱成分を打ち消すように、前記第１強度分布を算出すること
を特徴とする塗装評価装置。 The coating evaluation device according to claim 2,
The coating evaluation device is characterized in that the controller calculates the first intensity distribution so as to cancel out the scattered component.
前記評価モデルは、
平面形状である評価済塗装面に対して前記基準強度分布を有する基準光を照射して得られる反射光の強度分布と前記評価済塗装面の鮮映性の評価値を組とする教師データに基づく機械学習によって生成された学習モデルであること
を特徴とする塗装評価装置。 The coating evaluation device according to any one of claims 1 to 3,
The evaluation model is
A paint evaluation device characterized in that the learning model is generated by machine learning based on teacher data that pairs the intensity distribution of reflected light obtained by irradiating a reference light having the reference intensity distribution onto an evaluated painted surface, which has a planar shape, with the evaluation value of the sharpness of the evaluated painted surface.
前記塗装面の鮮映性の評価値は、前記塗装面の平滑度、前記塗装面での反射光に占める拡散反射の割合、前記塗装面に映りこむ像の解像度、の少なくとも１つによって決定される指標であること
を特徴とする塗装評価装置。 The coating evaluation device according to any one of claims 1 to 4,
A coating evaluation device characterized in that the evaluation value of the distinctness of the painted surface is an index determined by at least one of the smoothness of the painted surface, the proportion of diffuse reflection in the reflected light on the painted surface, and the resolution of the image reflected on the painted surface.
前記形状取得部は、前記塗装面の設計データを前記形状情報として取得すること
を特徴とする塗装評価装置。 The coating evaluation device according to any one of claims 1 to 5,
The coating evaluation device is characterized in that the shape acquisition unit acquires design data of the coating surface as the shape information.
前記形状取得部は、前記塗装面を計測して得られた計測データを前記形状情報として取得すること
を特徴とする塗装評価装置。 The coating evaluation device according to any one of claims 1 to 6,
The coating evaluation device is characterized in that the shape acquisition unit acquires measurement data obtained by measuring the coating surface as the shape information.
前記基準強度分布は、第１方向において周期構造を有すること
を特徴とする塗装評価装置。 The coating evaluation device according to any one of claims 1 to 7,
The coating evaluation device, wherein the reference intensity distribution has a periodic structure in a first direction.
前記基準強度分布は、前記第１方向と異なる第２方向において周期構造を有すること
を特徴とする塗装評価装置。 The coating evaluation device according to claim 8,
The coating evaluation device is characterized in that the reference intensity distribution has a periodic structure in a second direction different from the first direction.
前記コントローラは、
前記形状情報に基づいて、前記塗装面上の所定位置における主方向ベクトルを算出し、
前記主方向ベクトルの方向において周期構造を有する強度分布を前記基準強度分布として設定すること
を特徴とする塗装評価装置。 The coating evaluation device according to any one of claims 1 to 9,
The controller:
Calculating a main direction vector at a predetermined position on the coating surface based on the shape information;
A coating evaluation device characterized in that an intensity distribution having a periodic structure in the direction of the main direction vector is set as the reference intensity distribution.
前記基準強度分布は、
前記入射光の強度が第１閾値以上である第１領域と、
前記入射光の強度が前記第１閾値よりも小さい第２閾値以下である第２領域と、
を有すること
を特徴とする塗装評価装置。 The coating evaluation device according to any one of claims 1 to 10,
The reference intensity distribution is
a first region in which the intensity of the incident light is equal to or greater than a first threshold;
a second region where the intensity of the incident light is equal to or less than a second threshold value that is smaller than the first threshold value;
A coating evaluation device comprising:
前記形状取得部は、
前記塗装面のうち、前記入射光が照射された領域の位置情報を取得し、
前記位置情報に基づいて前記形状情報を取得すること
を特徴とする塗装評価装置。 The coating evaluation device according to any one of claims 1 to 11,
The shape acquisition unit is
acquiring position information of a region of the coated surface onto which the incident light is irradiated;
A coating evaluation device that acquires the shape information based on the position information.
前記光源部は、第１マーキングパターンを含む前記入射光を照射し、
前記強度取得部は、前記塗装面のうち、前記第１マーキングパターンが照射された領域からの反射光の強度分布を第２マーキングパターンとして取得し、
前記コントローラは、
前記第１マーキングパターンと前記第２マーキングパターンの差分に基づいて、前記第１マーキングパターンが照射された領域の基準形状情報を取得し、
前記基準形状情報と一致する前記形状情報を有する前記塗装面上の領域の位置情報を取得すること
を特徴とする塗装評価装置。 The coating evaluation device according to any one of claims 1 to 12,
The light source unit irradiates the incident light including a first marking pattern,
the intensity acquisition unit acquires, as a second marking pattern, an intensity distribution of reflected light from an area of the painted surface onto which the first marking pattern is irradiated;
The controller:
acquiring reference shape information of an area onto which the first marking pattern is irradiated based on a difference between the first marking pattern and the second marking pattern;
A coating evaluation device that acquires position information of an area on the coating surface having shape information that matches the reference shape information.
前記塗装面の材質情報を取得する材質取得部を更に備え、
前記コントローラは、
前記材質情報及び前記第２強度分布を含む入力に対して前記塗装面の鮮映性の評価値を出力する前記評価モデルを用いて、前記材質情報及び前記第２強度分布の組合せに対応する評価値を推定すること
を特徴とする塗装評価装置。 The coating evaluation device according to any one of claims 1 to 13,
A material acquisition unit that acquires material information of the painted surface,
The controller:
A coating evaluation device characterized by estimating an evaluation value corresponding to a combination of the material information and the second intensity distribution using the evaluation model that outputs an evaluation value of the sharpness of the painted surface in response to input including the material information and the second intensity distribution.
前記評価モデルは、
平面形状である評価済塗装面の前記材質情報、前記評価済塗装面に対して前記基準強度分布を有する基準光を照射して得られる反射光の強度分布、前記評価済塗装面の鮮映性の評価値を組とする教師データに基づく機械学習によって生成された学習モデルであること
を特徴とする塗装評価装置。 The coating evaluation device according to claim 14,
The evaluation model is
A paint evaluation device characterized in that the learning model is generated by machine learning based on teacher data that includes a set of material information of an evaluated painted surface, which is a planar shape, an intensity distribution of reflected light obtained by irradiating the evaluated painted surface with reference light having the reference intensity distribution, and an evaluation value of the sharpness of the evaluated painted surface.
第１強度分布を有する入射光を前記塗装面に照射し、
前記塗装面からの反射光が有する第２強度分布を取得し、
前記湾曲形状の平面形状からのズレによる、前記第２強度分布に含まれる前記塗装面での光の散乱成分を前記形状情報に基づいて算出し、
算出した前記散乱成分に基づいて、基準強度分布に対応付けられる前記第１強度分布を設定し、
前記第２強度分布を含む入力に対して前記塗装面の鮮映性の評価値を出力する評価モデルを用いて、前記第２強度分布に対応する評価値を推定すること
を特徴とする塗装評価方法。 Acquire shape information representing the curved shape of the painted surface;
irradiating the coated surface with incident light having a first intensity distribution;
obtaining a second intensity distribution of the light reflected from the painted surface;
Calculating a light scattering component at the coating surface, which is included in the second intensity distribution and is caused by a deviation of the curved shape from a planar shape, based on the shape information;
setting the first intensity distribution corresponding to a reference intensity distribution based on the calculated scattered components;
A coating evaluation method, comprising: estimating an evaluation value corresponding to the second intensity distribution using an evaluation model that outputs an evaluation value of the sharpness of the painted surface in response to an input including the second intensity distribution.
第１強度分布を有する入射光を前記塗装面に照射する光源部と、
前記塗装面からの反射光が有する第２強度分布を取得する強度取得部と、
を制御するコンピュータに、
前記形状取得部を用いて前記形状情報を取得するステップと、
前記湾曲形状の平面形状からのズレによる、前記第２強度分布に含まれる前記塗装面での光の散乱成分を前記形状情報に基づいて算出し、
算出した前記散乱成分に基づいて、基準強度分布に対応付けられる前記第１強度分布を設定するステップと、
前記第２強度分布を含む入力に対して前記塗装面の鮮映性の評価値を出力する評価モデルを用いて、前記第２強度分布に対応する評価値を推定するステップと、
を実行させるための塗装評価プログラム。 a shape acquisition unit that acquires shape information representing a curved shape of a coating surface;
a light source unit that irradiates the coating surface with incident light having a first intensity distribution;
an intensity acquisition unit that acquires a second intensity distribution of the reflected light from the painted surface;
The computer that controls the
acquiring the shape information using the shape acquisition unit;
Calculating a light scattering component at the coating surface, which is included in the second intensity distribution and is caused by a deviation of the curved shape from a planar shape, based on the shape information;
setting the first intensity distribution corresponding to a reference intensity distribution based on the calculated scattered components;
estimating an evaluation value corresponding to the second intensity distribution using an evaluation model that outputs an evaluation value of the distinctness of the painted surface in response to an input including the second intensity distribution;
A coating evaluation program to carry out the above.
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/IB2021/000415 WO2022269301A1 (en) | 2021-06-21 | 2021-06-21 | Coating evaluation device and coating evaluation method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JPWO2022269301A1 JPWO2022269301A1 (en) | 2022-12-29 |
| JPWO2022269301A5 true JPWO2022269301A5 (en) | 2024-04-17 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2023529138A Pending JPWO2022269301A1 (en) | 2021-06-21 | 2021-06-21 |
Country Status (2)
| Country | Link |
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| JP (1) | JPWO2022269301A1 (en) |
| WO (1) | WO2022269301A1 (en) |
Family Cites Families (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP3106849B2 (en) * | 1994-05-19 | 2000-11-06 | 日産自動車株式会社 | Painted surface property measuring device |
| JP3185599B2 (en) * | 1995-04-17 | 2001-07-11 | 日産自動車株式会社 | Surface defect inspection equipment |
| JP3514122B2 (en) * | 1998-06-25 | 2004-03-31 | 日産自動車株式会社 | Surface defect inspection equipment |
| JP2001099632A (en) * | 1999-10-01 | 2001-04-13 | Arc Harima Kk | Normal reflection type surface shape measuring method and device with ccd camera |
| JP4633245B2 (en) * | 2000-11-06 | 2011-02-16 | 住友化学株式会社 | Surface inspection apparatus and surface inspection method |
| BR102016028266A2 (en) * | 2016-12-01 | 2018-06-19 | Autaza Tecnologia Ltda - Epp | METHOD AND SYSTEM FOR AUTOMATIC QUALITY INSPECTION OF MATERIALS |
| US10875592B2 (en) * | 2018-08-16 | 2020-12-29 | Carl Zeiss Industrielle Messtechnik Gmbh | Automobile manufacturing plant and method |
| JP2021056117A (en) * | 2019-09-30 | 2021-04-08 | 日立造船株式会社 | Evaluation device, evaluation system, control program, and method for evaluation |
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2021
- 2021-06-21 WO PCT/IB2021/000415 patent/WO2022269301A1/en active Application Filing
- 2021-06-21 JP JP2023529138A patent/JPWO2022269301A1/ja active Pending
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