EP1456629A2 - Procede de controle mobile en ligne et hors ligne de surfaces partielles d'automobiles, colorees et extra-brillantes - Google Patents

Procede de controle mobile en ligne et hors ligne de surfaces partielles d'automobiles, colorees et extra-brillantes

Info

Publication number
EP1456629A2
EP1456629A2 EP02732624A EP02732624A EP1456629A2 EP 1456629 A2 EP1456629 A2 EP 1456629A2 EP 02732624 A EP02732624 A EP 02732624A EP 02732624 A EP02732624 A EP 02732624A EP 1456629 A2 EP1456629 A2 EP 1456629A2
Authority
EP
European Patent Office
Prior art keywords
part surface
automotive
database
gloss
optical
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.)
Withdrawn
Application number
EP02732624A
Other languages
German (de)
English (en)
Inventor
Pecher Udo
Horst Abendschein
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.)
Rehau Automotive SE and Co KG
Original Assignee
Rehau AG and Co
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 Rehau AG and Co filed Critical Rehau AG and Co
Publication of EP1456629A2 publication Critical patent/EP1456629A2/fr
Withdrawn legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00—Measuring arrangements characterised by the use of optical techniques
    • G01B11/30—Measuring arrangements characterised by the use of optical techniques for measuring roughness or irregularity of surfaces
    • G01B11/306—Measuring arrangements characterised by the use of optical techniques for measuring roughness or irregularity of surfaces for measuring evenness
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
    • G01J3/46—Measurement of colour; Colour measuring devices, e.g. colorimeters
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
    • G01J3/46—Measurement of colour; Colour measuring devices, e.g. colorimeters
    • G01J3/50—Measurement of colour; Colour measuring devices, e.g. colorimeters using electric radiation detectors
    • G01J3/504—Goniometric colour measurements, for example measurements of metallic or flake based paints
    • 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
    • G01N21/8806—Specially adapted optical and illumination features
    • 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
    • G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
    • G01J3/02—Details
    • G01J3/0205—Optical elements not provided otherwise, e.g. optical manifolds, diffusers, windows
    • G01J3/0224—Optical elements not provided otherwise, e.g. optical manifolds, diffusers, windows using polarising or depolarising elements

Definitions

  • the invention relates to a method for mobile online and offline control of colored and high-gloss automotive part surfaces.
  • quality parameters such as color, gloss, layer thickness and wave (waviness) for various properties, dependencies and parameters.
  • commercial hand-held measuring devices are used, such as the X-Rite MA 68 II angle spectrometer, gloss measuring devices such as Wave Scan plus from BYK-Gardner GmbH, 82534 Geretsried.
  • test coatings - so-called test panels - are usually produced and the optical properties to be examined - color, gloss, layer thickness and wave - of the coating are determined and the interdependencies of the coating properties are analyzed. As a rule, this is done in the laboratory or in production on a random basis using the measurement methods and devices mentioned.
  • DE 19709406 A1 discloses a method and a device for measuring coated test panels that determine the surface quality - color, gloss, layer thickness and wave - using laboratory robots in combination with a corresponding measurement method.
  • a disadvantage of this method and its device is the assessment of the measurement results on the basis of test boards which do not take into account the geometrical shapes of the automotive part surfaces and therefore only indirectly allow conclusions to be drawn about the quality assessment.
  • DE 19717593 A1 describes a measuring method for assessing the surface quality of motor vehicle bodies that touches the surface of Series of automatically coated motor vehicle parts in connection with a multi-axis robot along pre-programmed routes.
  • Disadvantages of this invention are the high investment costs with regard to the robot required for use and the associated program connections for controlling the measurement process along the surface of the automobile part to be measured, as well as its stationary connection.
  • non-contact measurement methods with cameras are known from the prior art, which are directed at defined angles to the surface of the automobile part to be measured and which are measured under different illuminations and illumination angles.
  • the invention has for its object to provide a method with the features of the preamble of claim 1 such that a mobile online and offline control of the quality of colored and high-gloss automotive part surfaces can be determined and the parallel measurement of the parameters color, gloss, layer thickness and wave can be structured quickly and according to different requirements.
  • the measuring beam formed by polarized light at different wavelengths is thus the measuring beam of the angle-dependent spectrophotometer, which is combined with a reference beam of the angle-dependent spectrophotometer and contains the reflection, interference, depolarization and phase values of the measured automotive part surface at different wavelengths as surface information. are the optical surface states of the automotive part surfaces that map precisely.
  • the electronic camera system is designed as an image recognition system that recognizes the shape and position of the automobile part surfaces to be measured optically spectrophotometrically and by means of the electronic database, which is designed as an optical neuro-fuzzy structured image database, performs shape and position identification and one on it Shape and position defined optical angle-dependent spectrophotometric measurement for the identified and classified automotive part surface under predetermined measurement parameters such as wavelength, measurement angle, type of combined measurement - ie Color, gloss, layer thickness and wave measurement - and scanning scanning initialized.
  • the form of identification of the automotive part surfaces is done by electronic classes of automotive part surfaces, which are stored in the optical neuro-fuzzy structured image database.
  • the neuro-fuzzy techniques have been used for years in different areas of industry for the modeling, analysis, monitoring and control of industrial processes and are generally known from the literature.
  • the method according to the invention stands out in that it is faster, fulfills more extensive object-specific measurement requirements and allows classified measurement tasks with regard to the automotive part surfaces.
  • an optical neuro-fuzzy structured image database in which the automobile part surface images are stored with the associated measurement method.
  • a camera image for comparing the image pattern of the automobile part surface permits assignment and / or classification of the measurement object and, after object detection, controls the object-specific measurement method of the angle-dependent gene spectrophotometer for integral color, gloss, layer thickness and wave measurement with regard to the identified automotive part surface.
  • Deviations in color, gloss, layer thickness and wave of the measured automobile part surfaces, including various automobile parts, are stored in a computer-aided optical quality database, called the CAOQ database, for object and component-specific storage for optical characterization.
  • this CAOQ database calculates, compares and manages logical links of the color, paint gloss, layer thickness and wave data measured integrally to different object points of the different automotive part surfaces with specified requirement data records on the part of the target data, which are used by the automobile manufacturers as target values and tolerances for the automotive part surfaces are specified.
  • the data is transmitted to a control center for surface measurement technology via an intelligent neural network using standardized statistical methods, outlier analysis, graphic representation of the color, gloss, layer thickness and wave differences and can be visualized to an operator, so that an understandable and actionable decision on quality issues of individuals measured automobile part surfaces can be taken by the operator at the control center for surface measurement technology.
  • at least two mobile online and offline control methods of the type described are used in production at different locations and are connected to the control center for surface measurement technology via the intelligent neural network.
  • the data and decisions recorded by the control center for surface measurement technology are transmitted to the production planning system, called PPS, via data transmission and the automotive part is stored specifically electronically.
  • the production planning system records deviations in color, gloss, layer thickness and wave, and the values determined in accordance with the method are fed back electronically via the network to the automotive coating / coating production unit, so that the determined deviations are incorporated into corresponding changes in the automotive coating / coating process ,
  • the transport system for the next automobile part surface to be measured is controlled in a timed manner. Furthermore, the data of a customer information system via network are routed to the car manufacturer online übermit- 1 telt data from the suppliers.
  • FIG. 1 shows a schematic representation of a device for carrying out the method for the mobile online and offline control of colored and high-gloss automotive part surfaces.
  • automobile part surfaces 1a-1c are produced and transported by a transport system 18 to the mobile in-and offline control.
  • the automobile part surface 1 b to be measured, for example, is optically recorded with a camera 2.
  • the output 3 of the camera 2 carries a pixel image signal with respect to the automobile part surface 1 b and its shape.
  • This information which comprises a surface image containing the pixel image and depicting the automobile part surface 1b in detail, is fed to an optical neuro-fuzzy structured image database 4 in which automobile part surface classes are electronically stored.
  • the real automotive part surface images are compared with the automotive image classes of the image database 4 stored there, and after recognizing the automotive part surface 1b, the measurement method associated with the object class for online and offline control of the colored and high-gloss automotive part surface 1b for the optical surface determination of color, gloss, layer thickness and wave with radio-assisted initialization 5a and the angle-dependent spectrophotometer 6 started for scanning with the measuring beam 7a under object-specific settings; At the same time, the initialization 5b of the computer-aided optical quality database 11 for data acquisition of the detector signal 10 takes place by radio.
  • the measuring beam 7a formed with polarized light of different wavelengths from the angle-dependent spectrophotometer scans the automobile part surface 1b.
  • the depolarized measuring beam 7b reflected by the automotive sub-surface 1b reaches the angle-dependent spectrophotometer 6 with detector unit 8, which is a CCD diode array.
  • detector unit 8 which is a CCD diode array.
  • the output 9 of the detector unit 8 carries a detector signal 10 with regard to the surface states of color tone, lacquer gloss, layer thickness and wave.
  • This detector signal which comprises reflection, interference, polarization and phase information, and the surface state of the automotive part surface 1b in its values of color, gloss, layer thickness and wave, is called a computer-aided optical quality database 11, CAOQ, supplied, the initialization 5b is carried out by radio from 4.
  • This CAOQ database 11 calculates, compares and manages the detector signals 10 at different object points on the automobile part surface 1b and generates color, gloss, layer thickness and wave data which are compared with the requirement data records specified by the automobile manufacturer. These data are transmitted to different addressees by an intelligent neural network 12, which links at least two mobile online and offline control methods 13 of the type described, and can be visualized on at least one control center for surface measurement technology 14. In the next step, the data recorded by the control center for surface measurement technology 14 are called the production planning system 15, PPS, transmitted through an electronic network and the automotive part is stored electronically specifically.
  • the deviations in the color, gloss, layer thickness and wave data recorded in the production planning system 15 are transmitted to the automobile coating / coating production unit 16 and / or to the customer information system 17 by a further electronic network, so that necessary measures relating to the automotive coating / coating can be initiated in 16;
  • the transport system 18 for the automotive parts is controlled and timed by the production planning system 15, so that the following automotive part surface 1 c can be recorded and measured in accordance with the method described above.

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • General Health & Medical Sciences (AREA)
  • Pathology (AREA)
  • Immunology (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • Signal Processing (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Engineering & Computer Science (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
  • Length Measuring Devices By Optical Means (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)
  • Application Of Or Painting With Fluid Materials (AREA)
  • Automobile Manufacture Line, Endless Track Vehicle, Trailer (AREA)
  • Spectrometry And Color Measurement (AREA)

Abstract

L'invention concerne un procédé de contrôle mobile en ligne et hors ligne de surfaces partielles d'automobiles, colorées et extra-brillantes, selon lequel il est prévu un balayage optique de la surface partielle de l'automobile, assisté par caméra, à effet initialiseur et combiné avec une banque de données image optique à structure neuro-floue, avec un photomètre spectral dépendant de l'angle. Ledit procédé se caractérise en ce qu'une banque de données de qualité optique assistée par ordinateur permet de mettre en forme les signaux de mesure provenant du détecteur et d'évaluer les surfaces partielles d'automobile mesurées. La liaison de données s'effectue par l'intermédiaire d'un réseau neuronal en un poste de contrôle de technique de mesure de surfaces, qui est relié à un système de planification de la production, à un système d'information clients et à l'unité de production de mise en peinture/revêtement pour automobiles.
EP02732624A 2001-12-21 2002-04-16 Procede de controle mobile en ligne et hors ligne de surfaces partielles d'automobiles, colorees et extra-brillantes Withdrawn EP1456629A2 (fr)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
DE10163596A DE10163596C1 (de) 2001-12-21 2001-12-21 Verfahren zur mobilen On- und Offlinekontrolle farbiger und hochglänzender Automobilteiloberflächen
DE10163596 2001-12-21
PCT/EP2002/004192 WO2003054529A2 (fr) 2001-12-21 2002-04-16 Procede de controle mobile en ligne et hors ligne de surfaces partielles d'automobiles, colorees et extra-brillantes

Publications (1)

Publication Number Publication Date
EP1456629A2 true EP1456629A2 (fr) 2004-09-15

Family

ID=7710601

Family Applications (1)

Application Number Title Priority Date Filing Date
EP02732624A Withdrawn EP1456629A2 (fr) 2001-12-21 2002-04-16 Procede de controle mobile en ligne et hors ligne de surfaces partielles d'automobiles, colorees et extra-brillantes

Country Status (7)

Country Link
US (1) US7298462B2 (fr)
EP (1) EP1456629A2 (fr)
JP (1) JP4024758B2 (fr)
CZ (1) CZ2004824A3 (fr)
DE (1) DE10163596C1 (fr)
PL (1) PL369147A1 (fr)
WO (1) WO2003054529A2 (fr)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US12148146B2 (en) 2019-09-19 2024-11-19 Ppg Industries Ohio, Inc. Systems and methods for mapping coatings to a spatial appearance space

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE10336111A1 (de) * 2003-08-06 2005-03-03 List, Reinhard Dr. Dr. H.C. Verfahren und Anordnung zur Herstellung eines mehrteiligen Produktes mit optimiertem Erscheinungsbild
DE102008007738B4 (de) * 2007-11-29 2021-05-27 Volkswagen Ag Verfahren zur Qualitätskontrolle eines Karosseriebauteils
US7606671B2 (en) * 2007-12-12 2009-10-20 Elcometer, Inc. Method of quantifying paint and bodywork on automobiles and other painted objects using coating thickness gauges
DE102008031459A1 (de) * 2008-07-06 2010-01-07 Baumer Inspection Gmbh Instrumentelle Unterstützung der Überwachung des Farbeindrucks bei der Herstellung von mehrfarbig gemusterten Flächen
US8782026B2 (en) 2011-03-31 2014-07-15 Honda Motor Co., Ltd. Color harmony with process and environmental feedback
US9606055B2 (en) * 2013-01-09 2017-03-28 Ppg Industries Ohio, Inc. Systems and methods for statistical measurement control of spectrophotometric data
CN110458794B (zh) * 2019-05-23 2023-05-12 上海离原工程自动化有限公司 用于轨道列车的配件质量检测方法及装置
DE102019126808A1 (de) * 2019-10-07 2021-04-08 Bayerische Motoren Werke Aktiengesellschaft Verfahren und Vorrichtung zur Ermittlung von Defektinformation in Bezug auf einen Lackierdefekt
CN114942736B (zh) * 2022-04-16 2025-09-09 展讯半导体(成都)有限公司 一种图像显示方法、装置、终端设备及存储介质

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Publication number Priority date Publication date Assignee Title
WO1987000629A1 (fr) * 1985-07-15 1987-01-29 Sira Limited Appareil de controle
US5041726A (en) * 1990-06-11 1991-08-20 Hughes Aircraft Company Infrared holographic defect detector

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US5387977A (en) 1991-09-04 1995-02-07 X-Rite, Incorporated Multiangular color measuring apparatus
DE19739250C2 (de) * 1996-09-13 2003-01-02 Fraunhofer Ges Forschung Optische Erfassung von Freiformflächen
DE19709406A1 (de) * 1996-09-30 1998-04-09 Basf Coatings Ag Verfahren und Vorrichtung zur Vermessung von lackierten Prüftafeln
DE19717593A1 (de) * 1997-04-25 1998-10-29 Duerr Systems Gmbh Meßsystem zur Beurteilung der Oberflächenqualität
DE19730885A1 (de) * 1997-07-18 1999-01-21 Audi Ag Verfahren zur automatischen Erkennung von Oberflächenfehlern an Rohkarosserien und Vorrichtung zur Durchführung des Verfahrens
JP2003511662A (ja) 1999-10-05 2003-03-25 アクゾ ノーベル ナムローゼ フェンノートシャップ 電子撮像装置によるカラーマッチングの方法
JP3626387B2 (ja) 2000-02-04 2005-03-09 関西ペイント株式会社 コンピュータ調色装置及びこの装置を用いた塗料の調色方法

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WO1987000629A1 (fr) * 1985-07-15 1987-01-29 Sira Limited Appareil de controle
US5041726A (en) * 1990-06-11 1991-08-20 Hughes Aircraft Company Infrared holographic defect detector

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US12148146B2 (en) 2019-09-19 2024-11-19 Ppg Industries Ohio, Inc. Systems and methods for mapping coatings to a spatial appearance space

Also Published As

Publication number Publication date
JP4024758B2 (ja) 2007-12-19
PL369147A1 (en) 2005-04-18
US7298462B2 (en) 2007-11-20
WO2003054529A2 (fr) 2003-07-03
DE10163596C1 (de) 2003-09-18
WO2003054529A3 (fr) 2003-11-20
US20050018173A1 (en) 2005-01-27
JP2005513477A (ja) 2005-05-12
CZ2004824A3 (cs) 2004-11-10

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