Journal of Textile Research ›› 2021, Vol. 42 ›› Issue (01): 96-102.doi: 10.13475/j.fzxb.20200404007

• Dyeing and Finishing & Chemicals • Previous Articles     Next Articles

Measurement method of winding density of cheese package based on laser scanning and modeling

ZHOU Qihong1,2(), SUN Baotong2, CEN Junhao3, ZHAN Qichen2   

  1. 1. Engineering Research Center of Advanced Textile Machinery, Ministry of Education, Donghua University,Shanghai 201620, China
    2. College of Mechanical Engineering, Donghua University, Shanghai 201620, China
    3. Guangzhou Seyounth Automation Technology Co., Ltd., Guangzhou, Guangdong 511400, China
  • Received:2020-04-16 Revised:2020-09-04 Online:2021-01-15 Published:2021-01-21

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Abstract:

In order to meet the requirement of intelligent high-quality dyeing, and solve the problems of poor accuracy, low efficiency and unsatisfactory digital management and control in winding density measurement of cheese yarn packages, a method for measuring the winding density of cheese packages was proposed based on the rapid scanning of laser displacement sensors for data collection and for establishing a mathematical model. By controlling the sampling distance and scanning path and range, the original point set reflecting the texture characteristics and the trace of the yarn in the cheese package was obtained. Based on the characteristics of different noise points and statistics theory, constraints were added to the original point set for preprocessing. After the point set was treated using the least square fitting and rotating surface equation, a high-precision mathematical model of the surface profile of the cheese yarn package was constructed, and the volume of the yarn was obtained through triple integration so as to calculate the accurate winding density. The experimental results show that the relative error of measurement can be controlled within 2.5%, the standard deviation is 0.069%, the efficiency is high, and the performance is obviously better than the existing methods in the industry.

Key words: cheese package, winding density, laser measurement, mathematical modeling, data noise reduction, intelligent dyeing factory

CLC Number: 

  • TS19

Fig.1

Digital scanning device for cheese."

Fig.2

Flow chart for automatic measurement of winding density of cheese yarn"

Fig.3

Original point lumped map"

Fig.4

Details of original point set"

Fig.5

Sample diagram. (a)Sample a; (b) Sample b"

Tab.1

Data at junction of bobbin point, coincidence point and modeling point in original point concentration"

上激光位移传感器(U-LDS) 下激光位移传感器(D-LDS) 侧面激光位移传感器(S-LDS)
距离
(x值)/cm		 测量值
(z值)/cm		 差值/
cm		 距离
(x值)/cm		 测量值
(z值)/cm		 差值/
cm		 距离
(z值)/cm		 测量值
(x值)/cm		 差值/
cm
需
处
理
的
数
据		 2.588 1.402 1.428 2.577 -15.484 0.224 -2.477 9.662 -0.056
2.687 -0.026 -0.014 2.677 -15.708 4.102 -2.577 9.718 -0.084
2.787 -0.012 0.700 2.777 -19.810 -3.234 -2.676 9.802 -0.070
2.887 -0.712 0.028 2.877 -16.576 0.182 -2.776 9.872 -0.056
2.987 -0.740 0.070 2.977 -16.758 -0.028 -2.876 9.928 -0.028
3.087 -0.810 0.630 3.077 -16.730 -0.882 -2.976 9.956 -0.014
3.186 -1.440 -0.112 3.176 -15.848 0.084 -3.076 9.970 -0.056
有
效
数
据		 3.286 -1.328 0.042 3.276 -15.932 0.042 -3.175 10.026 -0.014
3.386 -1.370 -0.014 3.376 -15.974 -0.014 -3.275 10.040 0.028
3.486 -1.356 -0.028 3.476 -15.960 0.028 -3.375 10.012 0.000
3.586 -1.328 -0.014 3.575 -15.988 0.014 -3.475 10.012 -0.014
3.685 -1.314 0.000 3.675 -16.002 0.014 -3.574 10.026 0.000
3.785 -1.314 -0.042 3.775 -16.016 0.028 -3.674 10.026 -0.028
3.885 -1.272 -0.014 3.875 -16.044 0.000 -3.774 10.054 0.014
3.985 -1.258 0.014 3.975 -16.044 -0.014 -3.874 10.040 -0.014
4.085 -1.272 0.000 4.074 -16.030 0.000 -3.974 10.054 0.028
4.184 -1.272 -0.014 4.174 -16.030 0.000 -4.073 10.026 0.014

Fig.6

Histogram of probability distribution of difference. (a) Histogram of original probability distribution; (b) Probability histogram after threshold segmentation"

Fig.7

Modeling diagram. (a)Set of points after preprocessing; (b) Schematic diagram of curve after fitting"

Tab.2

Experimental comparison results of current industry methods with those in this paper"

样品
编号		 样品的卷绕密度精确值/
(g·cm-3)		 本文方法 行业通用方法
卷绕密度/(g·cm-3) 相对误差/% 卷绕密度/(g·cm-3) 相对误差/%
a 3.61×10-1 3.687×10-1 2.13 3.349×10-1 7.23
b 4.11×10-1 4.066×10-1 1.07 3.821×10-1 7.03

Tab.3

Repeated measurement data of same sample"

测量序号 卷绕密度/(g·cm-3) 测量序号 卷绕密度/(g·cm-3)
1 3.689×10-1 6 3.694×10-1
2 3.700×10-1 7 3.694×10-1
3 3.679×10-1 8 3.683×10-1
4 3.697×10-1 9 3.688×10-1
5 3.698×10-1 10 3.697×10-1
[1] 高晓艳, 王晓, 张小芳. 毛/涤混纺筒纱染色工艺探讨[J]. 毛纺科技, 2016,44(6):41-45.
GAO Xiaoyan, WANG Xiao, ZHANG Xiaofang. Research on dyeing of wool/polyester blended yarn[J]. Wool Textile Journal, 2016,44(6):41-45.
[2] 刘幸乐, 姚继明, 侯贺刚, 等. 纱线线密度与染色槽数对靛蓝上染率的影响[J]. 纺织学报, 2016,37(6):91-94.
LIU Xingle, YAO Jiming, HOU Hegang, et al. Effect of yarn density and dyeing vat on dye uptake of indigo[J]. Journal of Textile Research, 2016,37(6):91-94.
[3] 华一志. 筒子染色文献综述(二):染液流速、升温速度、筒子纱密度、吸收曲线形状及染料种类对筒子纱匀染的影响[J]. 针织工业, 1984(1):48-57.
HUA Yizhi. A review of cheese dyeing literature (Ⅱ): the effects of dye liquor flow rate, heating rate, cheese yarn density, absorption curve shape and type of dye on package dye[J]. Knitting Industries, 1984(1):48-57.
[4] RANA Sohel. Calculation of package density in yarn dyeing[EB/OL].( 2015 -04-16)[2015-07-10]. https://textilecalculation.blogspot.com/2015/07/calculation-of-package-density-in-yarn.html.
[5] 姚俊红. 络筒机用计长仪的研制[J]. 纺织学报, 2012,33(9):126-129.
YAO Junhong. Research and development of yarn length recorder for cone winding[J]. Journal of Textile Research, 2012,33(9):126-129.
[6] 江珊, 凌文漪, LUBO Hes, 等. 一种新型筒子纱硬度测试方法及其应用[J]. 上海纺织科技, 2015,43(10):90-93.
JIANG Shan, LING Wenyi, LUBO Hes, et al. A new testing method of cheese hardness and its applica-tions[J]. Shanghai Textile Science & Technology, 2015,43(10):90-93.
[7] 张建新, 李琦. 基于机器视觉的筒子纱密度在线检测系统[J]. 纺织学报, 2020,41(6):141-146.
ZHANG Jianxin, LI Qi. Online cheese package yarn density detection system based on machine vision[J]. Journal of Textile Research, 2020,41(6):141-146.
[8] 张建新, 李琦, 申雪韵. 一种筒子纱密度在线检测装置:201811633274.9[P]. 2019 -03-26.
ZHANG Jianxin, LI Qi, SHEN Xueyun. An online detection device for cheeses density:201811633274.9[P]. 2019 -03-26.
[9] QI Zhaoshuai, WANG Zhao, HUANG Junhui, et al. Invalid-point removal based on epipolar constraint in the structured-light method[J]. Optics and Lasers in Engineering, 2018,105:173-181.
[10] 吴尚, 齐琳, 周双喜, 等. 非接触式测量获取背部图形的拟合及其验证[J]. 纺织学报, 2018,39(4):111-115.
WU Shang, QI Lin, ZHOU Shuangxi, et al. Fitting and verifying of males' back graphics measured by non-contact scanner[J]. Journal of Textile Research, 2018,39(4):111-115.
[11] YAN Pang, WILLIAM Mac Kunis. Asymptotic tracking for an osprey fixed-wing aircraft via nonlinear generalized minimum variance control[J]. Journal of Aerospace Engineering, 2020. DOI: 10.1061/(ASCE)AS.1943-5525.0001121.
pmid: 11540474
[12] 唐家德. 基于MATLAB的非线性曲线拟合[J].计算机与现代化, 2008(6):15-19.
TAN Jiade. Nonlinear curve fitting based on matlab[J]. Computer and Modernization, 2008(6):15-19.
[13] CASCIOLA G, ROMANI L. A newton-type method for constrained least-squares data-fitting with easy-to-control rational curves[J]. Journal of Computational and Applied Mathematics, 2009,223(2):672-692.
[14] 林景星. 贝塞尔公式计算实验标准差的应用探讨[C]//江苏省计量测试学会. 华东华南计量学术交流研讨会论文集. 南京:江苏省计量测试学会, 2012: 249-250.
LIN Jingxing. Discussion on the application of bessel formula to calculate experimental standard deviation[C]//Jiangsu Society for Measurement. Proceedings of East China South China Metrology Academic Exchange Symposium. Nanjing: Jiangsu Society for Measurement, 2012: 249-250.
[15] ALIREZA Khani, STEPHEN D Boyles. An exact algorithm for the mean-standard deviation shortest path problem[J]. Transportation Research Part B: Methodological, 2015,81(1):252-266.
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