Collimated laser beam-based fabric weaving online defect detection method
A technology of laser beam and point detection, which is applied in measuring devices, material analysis through optical means, instruments, etc., to achieve the effects of good adaptability, timely judgment of defects, and meeting the detection requirements
Active Publication Date: 2019-04-16
TIANJIN UNIV
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Problems solved by technology
At present, for the problem of fast and accurate identification of warp knitting defects, no successful universal warp knitting visual inspection system is still in the exploratory stage, and there is still a considerable distance from practical online measurement
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
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Embodiment Construction
[0016] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.
[0017] The system structure of the present invention is as figure 2 As shown, a collimated laser with a certain caliber projects laser beams from both ends of the knitting machine to illuminate the yarn and the knitting needles. The reason for irradiating both ends separately is that the width of the knitting machine is too long, and the laser irradiation distance is not far enough to illuminate all the weaving range. The camera is installed at the front of the machine tool to simultaneously collect images of bright spots of yarn and knitting needles.
[0018] Detection flow chart of the present invention is as figure 1 shown. On the knitting machine 6, the laser beam is irradiated on the yarn 5 and the knitting needle 3, and the yarn and the knitting needle interweave with the light curtain formed by the laser to form a bright spot 4, so that the...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
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The invention relates to a collimated laser beam-based fabric weaving online defect detection method. The method includes the following steps that: a yarn and a knitting needle are irradiated with a laser line or plane, light curtains formed by the yarn, the knitting needle and the laser are intertwined so as to form a bright spot; cameras acquire the formed bright spot; various frames of imageswithin specified sampling time are divided by a threshold, so that the position of the bright spot formed by the intertwining of the yarn, the knitting needle and the laser plane can be obtained, andthe center coordinates of the bright spot are extracted; the same bright spot position in different images are arranged sequentially so as to form a sequence, and therefore, the motion trajectories ofthe single bright spot within the sampling time are obtained, and bright spot one-dimensional motion signal patterns are obtained; the bright spot one-dimensional motion signal patterns are transformed into two-dimension spectrograms through wavelet transformation; and deep learning is performed through a CNN neural network, two-dimensional spectrograms corresponding to normal yarn motion laws and two-dimensional spectrograms corresponding to abnormal situations are marked separately and are applied to training learning.
Description
technical field [0001] The invention belongs to the field of textile quality detection, and relates to an online defect detection method for fabric weaving based on collimated laser beams. Background technique [0002] my country is the world's largest fabric producer and exporter. In actual production, defect detection is the most important. At present, fabric quality control and detection of fabric defects is very important. Fabrics are generally completed by workers' visual inspection, which has low detection speed, workers' subjective factors have a great influence on the detection results, and there are also disadvantages such as high false detection rate and missed detection rate. Mainly for export processing, the added value of textiles is low, lack of high-level production equipment for independent production, and mainly import machines from Germany and Japan. In the face of the ongoing "re-industrialization" movement in developed countries, ASEAN countries, India a...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
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IPC IPC(8): G01N21/892
CPCG01N21/8806G01N21/8851G01N21/892G01N2021/8887
Inventor 张效栋李娜娜朱琳琳
Owner TIANJIN UNIV