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

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
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