WO2023151249A1 - Système de mesure en ligne de la propreté de surface d'un acier en feuillard laminé à froid - Google Patents

Système de mesure en ligne de la propreté de surface d'un acier en feuillard laminé à froid Download PDF

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Publication number
WO2023151249A1
WO2023151249A1 PCT/CN2022/112421 CN2022112421W WO2023151249A1 WO 2023151249 A1 WO2023151249 A1 WO 2023151249A1 CN 2022112421 W CN2022112421 W CN 2022112421W WO 2023151249 A1 WO2023151249 A1 WO 2023151249A1
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WIPO (PCT)
Prior art keywords
cleanliness
camera
strip steel
online detection
cold
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PCT/CN2022/112421
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English (en)
Chinese (zh)
Inventor
夏志
张毅
唐文
王耀
周云根
熊俊伟
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中冶南方工程技术有限公司
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Publication of WO2023151249A1 publication Critical patent/WO2023151249A1/fr

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    • 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
    • G01N21/94—Investigating contamination, e.g. dust
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/02—Investigating particle size or size distribution
    • G01N15/0205—Investigating particle size or size distribution by optical means
    • G01N15/0227—Investigating particle size or size distribution by optical means using imaging; using holography
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/10—Investigating individual particles
    • G01N15/14—Optical investigation techniques, e.g. flow cytometry
    • G01N15/1434—Optical arrangements
    • 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
    • G01N21/01—Arrangements or apparatus for facilitating the optical investigation
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/10—Investigating individual particles
    • G01N15/14—Optical investigation techniques, e.g. flow cytometry
    • G01N15/1434—Optical arrangements
    • G01N2015/144—Imaging characterised by its optical setup
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/10—Investigating individual particles
    • G01N15/14—Optical investigation techniques, e.g. flow cytometry
    • G01N2015/1486—Counting the particles
    • 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
    • G01N21/94—Investigating contamination, e.g. dust
    • G01N2021/945—Liquid or solid deposits of macroscopic size on surfaces, e.g. drops, films, or clustered contaminants

Definitions

  • the invention relates to the field of cold-rolling treatment lines, in particular to an online detection system for the surface cleanliness of cold-rolled strip steel.
  • the residue on the surface of the strip steel is very easy to adhere to the furnace rolls to form furnace roll nodules, forming roll marks on the surface of the strip steel, seriously affecting product quality.
  • the residue will affect the strip coating effect, affect the adhesion and corrosion resistance of the paint film, etc.
  • the residues on the surface of the strip steel are generally cleaned by alkali spraying, alkali brushing, electrolytic cleaning, ultrasonic cleaning, water brushing and rinsing, etc.
  • the content is controlled within the allowable range (residual oil 10mg/m 2 , residual iron 10mg/m 2 ).
  • Residues on the surface of the strip are generally measured through sampling, off-line extraction, and weighing. Sampling is difficult and the lag time is long, making it difficult to guide on-site production in a timely manner.
  • the existing cleanliness on-line detector measures the surface cleanliness of the strip steel by the ultraviolet fluorescence method and the laser reflection receiving method, and its coverage is small (about 2 mm in diameter), and the detection results fluctuate greatly in the field application process. Therefore, there is an urgent need for an online detection system for the surface quality of cold-rolled strip steel to solve the problems existing in the ultraviolet fluorescence method and the laser reflection receiving method.
  • the present invention is proposed in order to provide an online detection system for the surface cleanliness of cold-rolled strip steel which overcomes the above problems or at least partially solves the above problems.
  • An on-line inspection system for surface cleanliness of cold-rolled strip steel comprising: stabilizing rolls, strip steel, shielding box, light source, lens, camera, network cable, data acquisition card, image processing server display and cleanliness on-line inspection software, wherein,
  • the stabilizing roller forms a certain wrap angle in the shooting area to suppress the vibration of the strip steel.
  • the shielding box is used to shield the influence of ambient light on the optical path of the system.
  • the lens is installed on the camera through the interface, and the camera and the data acquisition card are connected through the network cable. Data acquisition The card is installed on the PCI slot of the display of the image processing server, and the cleanliness online detection software runs on the display of the image processing server.
  • the shielding box is also used to install the light source bracket, the camera bracket and the camera position adjustment mechanism; wherein: the light source bracket on the shielding box supports and protects the light source, the camera bracket on the shielding box supports and protects the camera, and the camera on the shielding box
  • the position adjustment mechanism can electrically adjust the horizontal, vertical and pitch angles of the camera to ensure clear image quality.
  • the cleanliness online detection software runs on the display of the processing server, and the cleanliness online detection software is composed of an image data collection and visualization module, an imaging quality detection and camera adjustment module, and a cleanliness online detection module; wherein, the image data collection and visualization module
  • the strip steel surface image is read from the camera through the network cable, stored in the hard disk of the computer host computer and visualized on the computer monitor; the imaging quality detection and camera adjustment module identifies the imaging quality and controls the movement of the camera position adjustment mechanism according to the change of the strip steel specification.
  • the cleanliness online detection module detects the residue particles through image preprocessing and area detection, extracts multiple features of the residue particles, and then uses the classification recognition method to classify and identify the target, and finally counts the residue particles of different particle sizes Quantity, give the cleanliness code according to the cleanliness standard and prompt the parameter adjustment of the cleaning process section.
  • multiple features of the residual particles are extracted, including at least geometric shape, grayscale, projection and texture features of the residual particles.
  • classification recognition method is used for target classification recognition, and the classification recognition method includes artificial neural network, Adaboost or decision tree method.
  • the cleanliness code is given and the parameter adjustment of the cleaning process section is prompted, and the cleanliness standard is the cleanliness standard IS016232.
  • the light source is LED light source
  • the camera adopts a line array camera
  • the network cable adopts Cameralink network cable for high-speed image transmission
  • the image processing server monitor is equipped with a high-performance GPU for image processing algorithms to identify particles from high-resolution images on the surface of the strip. Target calculation .
  • the characteristics of incoming strip steel and the process parameters of the cleaning section can be combined to statistically analyze the cleanliness of different steel types, different specifications and different cleaning processes, and the given Suggestions for cleaning process improvement.
  • the invention discloses an online detection system for the surface cleanliness of cold-rolled strip steel, comprising: a stabilizing roll, strip steel, a shielding box, a light source, a lens, a camera, a network cable, a data acquisition card, an image processing server display, and an online cleanliness detection system Software, in which, the stabilizing roller forms a certain wrap angle in the shooting area to suppress the vibration of the strip steel, and the shielding box is used to shield the influence of ambient light on the optical path of the system.
  • the lens is installed on the camera through the interface, and the camera is connected to the data acquisition card through the network cable. Up, the data acquisition card is installed on the PCI slot of the display of the image processing server, and the cleanliness online detection software runs on the display of the image processing server.
  • This system is based on the camera to capture the surface image of the strip steel, by identifying the particle target and its particle size from the high-resolution image of the strip surface, counting the particle size and quantity, and giving the cleanliness code, which has a high degree of digitization and quantification; the system is stable through The roller forms a certain wrap angle in the shooting area, suppressing the vibration of the strip steel, and the image quality is clear; the system shields the impact of ambient light on the system optical path through the shielding box, and is less disturbed by the ambient light; the system identifies the imaging quality and The movement of the camera position adjustment mechanism is controlled until the imaging quality is clear and the adaptation range is wide.
  • Fig. 1 is in the embodiment 1 of the present invention, the composition diagram of the online detection system of cold-rolled strip surface cleanliness
  • Fig. 2 is a schematic diagram of the recognition results of the online cleanliness detection software in Embodiment 1 of the present invention.
  • an embodiment of the present invention provides an online detection system for the surface cleanliness of cold-rolled strip steel.
  • This embodiment discloses an online detection system for surface cleanliness of cold-rolled steel strip C2, including: stabilizing roll C1, steel strip C2, shielding box C3, light source C4, lens C5, camera C6, network cable C7, and data acquisition card C8 , Image processing server monitor C9 and cleanliness online detection software C10, wherein, the stabilizing roller C1 forms a certain wrap angle in the shooting area to suppress the vibration of the strip steel C2, the shielding box C3 is used to shield the influence of ambient light on the system optical path, and the lens C5 Install on the camera C6 through the interface, connect the camera C6 and the data acquisition card C8 through the network cable C7, the data acquisition card C8 is installed on the PCI slot of the display C9 of the image processing server, and the cleanliness online detection software C10 runs on the image processing server on the monitor C9.
  • the shielding box C3 is also used to install the light source C4 bracket, the camera C6 bracket, and the camera C6 position adjustment mechanism; wherein: the light source C4 bracket on the shielding box C3 supports and protects the light source C4, and the camera on the shielding box C3
  • the C6 bracket supports and protects the camera C6, and the position adjustment mechanism of the camera C6 on the shielding box C3 electrically adjusts the horizontal, vertical and pitch angles of the camera C6 to ensure clear image quality.
  • continuous image acquisition is performed to acquire images of the cleanliness of the strip C2 surface at different time periods, different specifications, and different steel types.
  • the strip LED light source C4 is selected as the system light source C4C4
  • the camera C6C6 uses the high-resolution high-frequency line scan camera C6
  • the network cable C7C7 uses the Cameralink network cable C7 for high-speed image transmission and image processing
  • the server monitor C9C9 is equipped with high-performance GPU for image processing algorithm to identify particulate matter target calculation from the high-resolution image of the strip C2 surface.
  • the cleanliness online detection software C10 runs on the display of the processing server, and the cleanliness online detection software C10 is composed of an image data collection and visualization module, an imaging quality detection and camera C6 adjustment module, and a cleanliness online detection module; wherein, The image data acquisition and visualization module reads the strip steel C2 surface image taken from the camera C6 through the network cable C7, stores it in the hard disk of the computer host computer and visually displays it on the computer monitor; the image quality detection and camera C6 adjustment module is aimed at the specification change of the strip steel C2, Identify the image quality and control the movement of the camera C6 position adjustment mechanism until the image quality is clear; the cleanliness online detection module detects the residual particles through image preprocessing and area detection, extracts multiple features of the residual particles, and then uses the classification recognition method Target classification and identification, and finally count the number of residue particles with different particle sizes, give the cleanliness code according to the cleanliness standard and prompt the parameter adjustment of the cleaning process section.
  • the image data acquisition and visualization module reads the strip steel C2 surface image taken from the camera C6 through the network cable
  • multiple features of the residual particles are extracted, including at least geometric shape, gray scale, projection and texture features of the residual particles.
  • classification recognition method which includes artificial neural network, Adaboost or decision tree method.
  • the image quality inspection and camera C6 adjustment module will identify the image quality and control the movement of the camera C6 position adjustment mechanism for the change of strip steel C2 specification until the image quality is clear; the cleanliness online inspection module passes image preprocessing and Area detection detects residue particles, etc., as shown in Figure 2, extracts features such as geometry, grayscale, projection, and texture, and then uses artificial neural networks, Adaboost, or decision trees to classify and identify targets, and finally counts the differences.
  • the number of particle size residue particles gives the cleanliness code according to the cleanliness standard IS016232 or other cleanliness standards and prompts for parameter adjustment in the cleaning process section.
  • the characteristics of the incoming material of the strip C2 and the process parameters of the cleaning section can be combined to statistically analyze different steel types, different specifications and different cleaning process strips Steel C2 cleanliness, giving suggestions for improving the cleaning process.
  • This embodiment discloses an online detection system for surface cleanliness of cold-rolled steel strip C2, including: stabilizing roll C1, steel strip C2, shielding box C3, light source C4, lens C5, camera C6, network cable C7, and data acquisition card C8 , Image processing server monitor C9 and cleanliness online detection software C10, wherein, the stabilizing roller C1 forms a certain wrap angle in the shooting area to suppress the vibration of the strip steel C2, the shielding box C3 is used to shield the influence of ambient light on the system optical path, and the lens C5 Install on the camera C6 through the interface, connect the camera C6 and the data acquisition card C8 through the network cable C7, the data acquisition card C8 is installed on the PCI slot of the display C9 of the image processing server, and the cleanliness online detection software C10 runs on the image processing server on the monitor C9.
  • This system is based on the camera C6 to take the surface image of the strip steel C2, by identifying the particle target and its particle size from the high-resolution image of the strip C2 surface, counting the particle size and quantity, and giving the cleanliness code, which has a high degree of digitization and quantification;
  • the system forms a certain wrap angle in the shooting area through the stabilizing roller C1 to suppress the vibration of the steel strip C2, and the image imaging quality is clear;
  • the system shields the influence of the ambient light on the system optical path through the shielding box C3, and the interference by the ambient light is small;
  • the system is aimed at the strip steel C2 Specification changes, identify the imaging quality and control the movement of the camera C6 position adjustment mechanism until the imaging quality is clear and the application range is wide.
  • a software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, removable disk, CD-ROM or any other form of storage medium known in the art.
  • An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium.
  • the storage medium may also be a component of the processor.
  • the processor and storage medium can be located in the ASIC.
  • the ASIC may be located in the user terminal.
  • the processor and the storage medium may also exist in the user terminal as discrete components.
  • the techniques described in this application can be implemented with modules (eg, procedures, functions, and so on) that perform the functions described herein.
  • modules eg, procedures, functions, and so on
  • These software codes can be stored in memory units and executed by processors.
  • the memory unit can be implemented within the processor or external to the processor, in which case it can be communicatively coupled to the processor via various means as is known in the art.

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

Abstract

Système de mesure en ligne de la propreté de surface d'un acier en feuillard laminé à froid, comprenant un rouleau stable (C1), de l'acier en feuillard (C2), un corps de boîte de protection (C3), une source de lumière (C4), une lentille (C5), une caméra (C6), un câble de réseau (C7), une carte de collecte de données (C8), une unité d'affichage de serveur de traitement d'image (C9) et un logiciel de mesure en ligne de propreté (C10). Le rouleau stable (C1) forme un certain angle d'enroulement dans une région de photographie afin d'empêcher la vibration de l'acier en feuillard (C2) ; le corps de boîte de protection (C3) est utilisé pour protéger de l'influence de la lumière ambiante sur un chemin de lumière de système ; la lentille (C5) est montée sur la caméra (C6) au moyen d'une interface ; la caméra (C6) et la carte de collecte de données (C8) sont connectées au moyen du câble de réseau (C7) ; la carte de collecte de données (C8) est montée sur une fente PCI de l'unité d'affichage de serveur de traitement d'image (C9) ; et le logiciel de mesure en ligne de propreté (C10) s'exécute sur l'unité d'affichage de serveur de traitement d'image (C9). Ledit certain angle d'enroulement est formé dans la région de photographie au moyen du rouleau stable (C1) afin d'inhiber la vibration de l'acier en feuillard (C2), de telle sorte que la qualité d'imagerie d'une image est claire ; une protection contre l'influence de la lumière ambiante sur un système est mise en œuvre au moyen du corps de boîte de protection (C3), de telle sorte que l'interférence de la lumière ambiante est réduite ; et pour le changement de spécification de l'acier en feuillard (C2), la qualité d'imagerie est reconnue et un mécanisme de réglage de position de caméra (C6) est commandé de façon à se déplacer jusqu'à ce que la qualité d'imagerie soit claire et ainsi, la plage d'application est large.
PCT/CN2022/112421 2022-02-10 2022-08-15 Système de mesure en ligne de la propreté de surface d'un acier en feuillard laminé à froid WO2023151249A1 (fr)

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CN202210125423.0A CN114636708A (zh) 2022-02-10 2022-02-10 一种冷轧带钢表面清洁度在线检测系统

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Publication number Priority date Publication date Assignee Title
CN114636708A (zh) * 2022-02-10 2022-06-17 中冶南方工程技术有限公司 一种冷轧带钢表面清洁度在线检测系统
CN115791795A (zh) * 2022-11-22 2023-03-14 张家港扬子江冷轧板有限公司 带钢表面清洁度检测设备
CN115983687B (zh) * 2022-12-22 2023-09-29 北京弥天科技有限公司 一种冷轧带钢质量智能检测管理系统及方法

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