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General spinneret orifice cleaning cleanliness detection method and system

A technology of cleanliness detection and spinneret holes, applied in the field of image processing, can solve the problems of high misjudgment rate of fine dirt in spinneret holes

Active Publication Date: 2020-09-04
SHANGHAI UNIV OF ENG SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The object of the present invention is to provide a method and system for detecting the cleanliness of the spinneret holes in general, so as to solve the problem of high misjudgment rate of fine dirt in the spinneret holes

Method used

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  • General spinneret orifice cleaning cleanliness detection method and system
  • General spinneret orifice cleaning cleanliness detection method and system
  • General spinneret orifice cleaning cleanliness detection method and system

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Embodiment 1

[0102] This embodiment provides a method and system for detecting the cleaning cleanliness of a general spinneret hole. The method for detecting the cleanliness of the general spinneret hole cleaning includes: extracting the closed curve of the edge contour and the curvature curve of the high gradient threshold of the standard clean hole, and constructing the The parameterized segmented closed curve standard detection template of the control points; in the dirt detection stage, the parameterized segmented closed curve standard detection template is mapped to the contour to be measured through non-rigid registration; the dirt detection curve is constructed, and the dirt detection The curve is formed by the parameterized segmented closed curve standard detection template and the distance curve based on the nearest neighbor search of the profile to be measured and its weighting based on the mixed curvature curve; by performing floor reference correction on the dirt detection curve,...

Embodiment 2

[0153] This embodiment provides a general spinner hole cleaning cleanliness detection system, said universal spinneret cleanliness cleanliness detection system includes a closed curve extraction module, a template mapping module, a dirt detection curve module and a reference correction module, wherein: the The closed curve extraction module is configured to extract the edge contour closed curve and its curvature curve of the high gradient threshold of the standard clean hole, and construct a parameterized segmented closed curve standard detection template containing control points; in the dirt detection stage, the template mapping module is It is configured to map the parameterized segmented closed curve standard detection template to the contour to be measured through non-rigid registration; the dirt detection curve module is configured to construct a dirt detection curve, and the dirt detection curve is the parameterized analysis The section closed curve standard detection te...

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Abstract

The invention provides a general spinneret orifice cleaning cleanliness detection method and system, and the method comprises the steps: extracting an edge contour closed curve of a standard clean orifice high gradient threshold and a curvature curve of the edge contour closed curve, and constructing a parameterized segmented closed curve standard detection template comprising control points; in the dirt detection stage, the parameterized segmented closed curve standard detection template is mapped to a to-be-detected contour through non-rigid registration; constructing a dirt detection curve,wherein the dirt detection curve is formed by weighting the parameterized segmented closed curve standard detection template, a distance curve of the to-be-detected contour based on nearest neighborsearch and a mixed curvature curve based on the distance curve; and performing floor reference correction on the dirt detection curve to form a global threshold so as to segment and locate dirt and quantify a cleanliness index.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method and system for detecting the cleanliness of a general spinneret hole cleaning. Background technique [0002] In the quality monitoring of chemical fiber production, whether the spinneret holes are cleaned or not is an important factor affecting the quality of filaments. Most of them now use computer vision detection methods to analyze and extract characteristic indicators such as the area and perimeter of the hole contour area through the imaging of the back-projected light source to determine whether there is dirt in the hole. This method is only effective for conventional dirt, and has a high misjudgment rate for fine dirt, especially when the deformation of the hole is large, the evaluation of the area, perimeter and other indicators is basically invalid. [0003] Specifically, chemical fiber is a thread formed by molten polyester polymer through a specific ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/33G06T7/13G06T7/181G06T7/136G06T7/62G01N21/94
CPCG06T7/33G06T7/13G06T7/181G06T7/136G06T7/62G01N21/94Y02P90/30
Inventor 徐增波
Owner SHANGHAI UNIV OF ENG SCI