环锭纺纱信息物理生产系统建模方法

doi:10.13475/j.fzxb.20201007809

纺织学报 ›› 2021, Vol. 42 ›› Issue (02): 65-73.doi: 10.13475/j.fzxb.20201007809

环锭纺纱信息物理生产系统建模方法

殷士勇¹^,², 鲍劲松²(), 唐仕喜¹, 杨芸²

1.盐城师范学院信息工程学院, 江苏盐城 224002
2.东华大学机械工程学院, 上海 201620

收稿日期:2020-10-29 修回日期:2020-11-21 出版日期:2021-02-15 发布日期:2021-02-23
通讯作者: 鲍劲松
作者简介:殷士勇(1979—),男,副教授,博士。主要研究方向为智能制造与测控、纺纱信息物理生产系统。
基金资助:
国家重点研发计划资助项目(2017YFB1304000);工信部智能制造综合标准与新模式应用项目(工信厅装函)([2018]265号)

Modeling method of cyber physical production system for ring spinning

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

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

摘要/Abstract

摘要：

针对环锭纺纱工艺流程长、纤维形态变化大、生产连续性与离散性混合,生产过程中数据流和控制流的关系多样复杂等问题,深入研究了环锭纺纱信息物理生产系统构架。先根据信息物理系统的“计算、通信、控制”特征,定义了环锭纺纱信息物理生产系统;在此基础上分析了环锭纺纱信息物理生产系统的纤维流、数据流和控制流,提出“纤维流-数据流-控制流”融合的环锭纺纱信息物理生产系统模型。然后,基于模型的系统工程方法,采用SysML建模语言建立环锭纺纱信息物理生产系统需求和局部用例模型以及对“纤维流-数据流-控制流”融合建模。研究结果表明,提出的建模方法能有效建立环锭纺纱信息物理生产系统模型,并对环锭纺纱生产智能化具有一定的借鉴意义。

关键词: 环锭纺纱, 信息物理生产系统, 纤维流, 数据流, 控制流, 纺织生产智能化

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

中图分类号:

TS101.8

殷士勇, 鲍劲松, 唐仕喜, 杨芸. 环锭纺纱信息物理生产系统建模方法[J]. 纺织学报, 2021, 42(02): 65-73.

YIN Shiyong, BAO Jinsong, TANG Shixi, YANG Yun. Modeling method of cyber physical production system for ring spinning[J]. Journal of Textile Research, 2021, 42(02): 65-73.

图/表 6

图1

图2

图3

图4

图5

图6

参考文献 19

[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

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

环锭纺纱信息物理生产系统建模方法

Modeling method of cyber physical production system for ring spinning

RichHTML

PDF (PC)

摘要/Abstract

引用本文

使用本文

图/表 6

参考文献 19

相关文章 4

Metrics

本文评价

推荐阅读 0

[1]	殷士勇, 鲍劲松, 孙学民, 王佳铖. 基于信息物理系统的环锭纺纱智能车间温度闭环精准控制方法[J]. 纺织学报, 2019, 40(02): 159-165.
[2]	顾燕薛元高卫东杨瑞华郭明瑞. 采用三通道数码纺的色彩渐变纱性能[J]. 纺织学报, 2018, 39(02): 62-67.
[3]	罗婷纪峰程隆棣吉宜军邓万胜. 双S曲线软牵伸纺纱技术[J]. 纺织学报, 2017, 38(07): 34-38.
[4]	褚结;葛明桥. 旋流器降低环锭纺纱线毛羽的研究[J]. 纺织学报, 2007, 28(12): 34-37.