Journal of Textile Research ›› 2021, Vol. 42 ›› Issue (02): 65-73.doi: 10.13475/j.fzxb.20201007809

• Textile Engineering • Previous Articles     Next Articles

Modeling method of cyber physical production system for ring spinning

YIN Shiyong1,2, BAO Jinsong2(), TANG Shixi1, YANG Yun2   

  1. 1. School of Information Engineering, Yancheng Teachers University, Yancheng, Jiangsu 224002, China
    2. College of Mechanical Engineering, Donghua University, Shanghai 201620, China
  • Received:2020-10-29 Revised:2020-11-21 Online:2021-02-15 Published:2021-02-23
  • Contact: BAO Jinsong E-mail:bao@dhu.edu.cn

RichHTML

8

PDF (PC)

116

Abstract:

In light of the problems such as long process flow of ring spinning, large variations in fiber morphology, mixed production continuity and discreteness, and the diverse and complex relationships between data flow and control flow in the production process, the ring spinning cyber physical production system architecture was comprehensively studied. According to the "computation, communication, and control" characteristics of cyber physical systems, the ring spinning cyber physical production system was defined. On this basis, the fiber flow, data flow and control flow of ring spinning cyber physical production were analyzed, leading to the establishment of a ring spinning cyber-physical production system model encompassing "fiber flow-data flow-control flow". Using the model-based system engineering method, the SysML modeling language was used to specify requirements for the partial models and full model for the ring spinning cyber physical production system considering "fiber flow-data flow-control flow". The results show that the proposed modeling method can effectively establish a ring spinning cyber physical production system model, and has certain reference significance for the intelligent production of ring spinning.

Key words: ring spinning, cyber physical production system, fiber flow, data flow, control flow, intelligent textile production

CLC Number: 

  • TS101.8

Fig.1

Integration of fiber flow-information flow-control flow"

Fig.2

Use case model of ring spinning physical production system"

Fig.3

Integration model of "fiber flow-data flow-control flow" for ring spinning CPPS"

Fig.4

Activity model of fiber from roving to spinning"

Fig.5

State machine model of data flow for conversion from sliver to roving"

Fig.6

Sequence model of control flow"

[1] MOSTERMAN P J, ZANDER J. Industry 4.0 as a cyber-physical system study[J]. Software & Systems Modeling, 2016,15(1):17-29.
[2] JIANG Z Q, JIN Y, LI Q, et al. Method of tasks and resources matching and analysis for cyber-physical production system[J]. Advances in Mechanical Engineering, 2018,10(5):1-9.
[3] TOMIYAMA T, MOYEN F. Resilient architecture for cyber-physical production systems[J]. CIRP Annals-Manufacturing Technology, 2018,67:161-164.
[4] RVRABIC R, KOZJEK D, MALUS A, et al. Distributed control with rationally bounded agents in cyber-physical production systems[J]. CIRP Annals - Manufacturing Technology, 2018,67:507-510.
[5] SIAFARA L C, KHOLERDI H, BRATUKHIN A, et al. SAMBA: an architecture for adaptive cognitive control of distributed cyber-physical production systems based on its self-awareness[J]. Elektrotechnik & Information Stechnik, 2018,135(3):270-277.
[6] ENGEL G, GREINER T, SEIFERT S. Ontology-assisted engineering of cyber-physical production systems in the field of process technology[J]. IEEE Transactions on Industrial Informatics, 2018,14(6):2792-2802.
[7] LEE J H, NOH S D, KIM H, et al. Implementation of cyber-physical production systems for quality prediction and operation control in metal casting[J]. Sensors, 2018,18(5):1428.
[8] YAO B T, ZHOU Z D, WANG L H, et al. A function block based cyber-physical production system for physical human-robot interaction[J]. Journal of Manufacturing Systems, 2018,48:12-23.
doi: 10.1016/j.jmsy.2018.04.010
[9] 曹瑞珉, 白国力, 郝丽娜, 等. 基于混杂随机时延Petri网的服装定制CPPS建模和分析[J]. 信息与控制, 2018,47(1):90-96.
CAO Ruimin, BAI Guoli, HAO Lina, et al. Modelling and analysis of hybrid stochastic timed petri net based custom-tailor cyber-physical production system[J]. Information and Control, 2018,47(1):90-96.
[10] 王勃, 杜宝瑞, 王金海. CPPS及在航空领域的应用[J]. 航空制造技术, 2016,42(13):67-72.
WANG Bo, DU Baorui, WANG Jinhai. CPPS and its applications in aviation industry[J]. Aeronautical Manufacturing Technolog, 2016,42(13):67-72.
[11] 张建良, 周芸, 徐润生, 等. 智慧钢铁工厂的互联网+CPPS 模式[J]. 钢铁, 2016,51(4):1-7.
ZHANG Jianliang, ZHOU Yun, XU Runsheng, et al. Model of internet+CPPS for smart steel factory[J]. Iron and Steel, 2016,51(4):1-7.
[12] Cyber Physical Systems PWG. Framework for cyber-physical systems [EB/OL]. [2020-04-20]. https://www.nist.gov/publications/framework-cyber-physical-systems-volume-1-overview.
[13] LIU Y, PENG Y, WANG B L, et al. Review on cyber-physical systems[J]. IEEE/CAA Journal of Automatica Sinica, 2017,4(1):27-40.
[14] LIU Y, XU X. Industry 4.0 and cloud manufacturing: a comparative analysis[J]. Journal of Manufacturing Science and Engineering, 2017,139(3):034701.
[15] LEE E A. The past, present and future of cyber-physical systems: a focus on models[J]. Sensors-Basel, 2015,15(3):4837-4869.
doi: 10.3390/s150304837 pmid: 25730486
[16] MADNI A M, SIEVERS M. Model-based systems engineering: motivation, current status, and research opportunities[J]. Systems Engineering, 2018,21(3):172-190.
[17] CAMERON B, ADSIT D M. Model-based sysetems engineering uptake in engineering practice[J]. IEEE Transactions on Engineering Management, 2020,67(1):152-162.
[18] WANG W T, NIU N, ALENAZI M, et al. In-place traceability for automated production systems: a survey of plc and sysml tools[J]. IEEE Transactions on Industrial Informatics, 2019,15(6):3155-3162.
[19] ZHU S F, TANG J, GAUTHIER J M, et al. A formal approach using SysML for capturing functional requirements in avionics domain[J]. Chinese Journal of Aeronautics, 2019,32(12):2717-2726.
doi: 10.1016/j.cja.2019.03.037
[1] ZHANG Tingting, XUE Yuan, HE Yudong, LIU Yuexing, ZHANG Guoqing. Construction of Kubelka-Munk double-constant color matching model for ring digital yarn color prediction [J]. Journal of Textile Research, 2020, 41(01): 50-55.
[2] ZHANG Tingting, XUE Yuan, XU Zhiwu, YU Jian, CHEN Lianguang. Color system construction of three-channel digital spinning mixed color yarn and performance analysis of colored yarn [J]. Journal of Textile Research, 2019, 40(09): 48-55.
[3] YIN Shiyong, BAO Jinsong, SUN Xuemin, WANG Jiacheng. Method of temperature close-loop precision control based on cyber-physical systems for intelligent workshop of ring spinning [J]. Journal of Textile Research, 2019, 40(02): 159-165.
[4] . Structure and performances of double channel digital ring spinning melange yarn [J]. Journal of Textile Research, 2018, 39(11): 27-32.
[5] . Application and process optimization of false twist in ring spinning machine [J]. JOURNAL OF TEXTILE RESEARCH, 2018, 39(07): 27-31.
[6] . Reducing yarn hairiness by wetting in ring spinning [J]. JOURNAL OF TEXTILE RESEARCH, 2018, 39(05): 108-112.
[7] . Color prediction of double channel digital ring spinning melange yarn based on Stearns - Noechel model [J]. JOURNAL OF TEXTILE RESEARCH, 2018, 39(05): 32-37.
[8] . Structural formation mechanism of multiple condensed spun yarn and properties of knitted fabric thereof [J]. JOURNAL OF TEXTILE RESEARCH, 2018, 39(02): 26-31.
[9] . Double S curves soft drafting technology [J]. JOURNAL OF TEXTILE RESEARCH, 2017, 38(07): 34-38.
[10] . Color difference comparison of colored spun yarns by different spinning processes [J]. JOURNAL OF TEXTILE RESEARCH, 2017, 38(01): 29-34.
[11] . Mechanism and software development for rainbow segment color yarn knitted fabrics [J]. JOURNAL OF TEXTILE RESEARCH, 2016, 37(08): 47-53.
[12] . Detection of ring spun yarn breakage based on detecting and analyzing voice signal [J]. JOURNAL OF TEXTILE RESEARCH, 2015, 36(07): 142-146.
[13] . On-line detecting system based on optoelectronic technology for ring spun-yarn breakage [J]. JOURNAL OF TEXTILE RESEARCH, 2014, 35(8): 94-0.
[14] . Influence of airway position on reducing spun yarn hairiness with cyclone [J]. JOURNAL OF TEXTILE RESEARCH, 2014, 35(6): 124-0.
[15] .  Spinning principle, structure and properties of low torque ring spun yarns [J]. JOURNAL OF TEXTILE RESEARCH, 2013, 34(6): 120-125.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
京ICP备14006648号
Copyright 2021 © Editorial office of Journal of Textile Research
Supported by Beijing Magtech Co.Ltd