Título
Optical Dual Laser Based Sensor Denoising for OnlineMetal Sheet Flatness Measurement Using Hermite InterpolationOtras instituciones
UPV/EHUVersión
Version publicada
Derechos
© 2020 by the authors. Licensee MDPI, Basel, SwitzerlandAcceso
Acceso abiertoVersión del editor
https://doi.org/10.3390/s20185441Publicado en
Sensors Vol. 20. N. 18. N. Art. 5441, 2020Editor
MDPI AGPalabras clave
cubic Hermite interpolation
laser triangulation
metal sheet
flatness measurement ... [+]
laser triangulation
metal sheet
flatness measurement ... [+]
cubic Hermite interpolation
laser triangulation
metal sheet
flatness measurement
roller leveling
smooth surface reconstruction
shape measurement system [-]
laser triangulation
metal sheet
flatness measurement
roller leveling
smooth surface reconstruction
shape measurement system [-]
Resumen
Flatness sensors are required for quality control of metal sheets obtained from steel coils by roller leveling and cutting systems. This article presents an innovative system for real-time robust surf ... [+]
Flatness sensors are required for quality control of metal sheets obtained from steel coils by roller leveling and cutting systems. This article presents an innovative system for real-time robust surface estimation of flattened metal sheets composed of two line lasers and a conventional 2D camera. Laser plane triangulation is used for surface height retrieval along virtual surface fibers. The dual laser allows instantaneous robust and quick estimation of the fiber height derivatives. Hermite cubic interpolation along the fibers allows real-time surface estimation and high frequency noise removal. Noise sources are the vibrations induced in the sheet by its movements during the process and some mechanical events, such as cutting into separate pieces. The system is validated
on synthetic surfaces that simulate the most critical noise sources and on real data obtained from the installation of the sensor in an actual steel mill. In the comparison with conventional filtering methods, we achieve at least a 41% of improvement in the accuracy of the surface reconstruction. [-]
Sponsorship
Gobierno de EspañaID Proyecto
GE/Programa estatal de fomento de la investigación científica y técnica de excelencia, subprograma estatal de generación del conocimiento, en el marco del plan estatal de investigación científica y técnica y de innovación 2013-2016, convocatoria 2017/TIN2017-85827-P/ES/Técnicas avanzadas de análisis e interpretación de datos de etología computerizada: aplicaciones en neuroetologia/Colecciones
- Artículos - Ingeniería [684]
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