A method for online defect detection of fabric weaving based on collimated laser beam
A technology of laser beam and point detection, which is applied in the direction of measuring devices, material analysis through optical means, instruments, etc., to achieve the effects of avoiding defects, meeting detection requirements, and low system cost
Active Publication Date: 2021-04-09
TIANJIN UNIV
View PDF15 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
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
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
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
Login to View More PUM
Login to View More Abstract
The invention relates to a method for detecting defects on a fabric weaving line based on a collimated laser beam, comprising the following steps: irradiating a laser line or surface onto yarns and knitting needles; Bright spot; the bright spot formed by the camera collection; for each frame of image within the specified sampling time, use threshold segmentation to obtain the position of the bright spot formed by the interweaving of yarn and knitting needle with the laser plane, and extract the center coordinates of the bright spot; The positions of the same bright spot are arranged in order to form a sequence, so as to obtain the motion trajectory of a single bright spot in the sampling time, and obtain the one-dimensional motion signal map of the bright spot; through the wavelet change, the one-dimensional motion signal of the bright spot is converted into two Dimensional spectrogram; deep learning is performed through the CNN neural network, and the two-dimensional spectrogram corresponding to the normal yarn motion law and the two-dimensional spectrogram corresponding to the abnormal situation are marked and trained separately.
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
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/892
CPCG01N21/8806G01N21/8851G01N21/892G01N2021/8887
Inventor 张效栋李娜娜朱琳琳
Owner TIANJIN UNIV