Journal of Textile Research ›› 2019, Vol. 40 ›› Issue (02): 159-165.doi: 10.13475/j.fzxb.20181004707

• Management & Information • Previous Articles     Next Articles

Method of temperature close-loop precision control based on cyber-physical systems for intelligent workshop of ring spinning

YIN Shiyong, BAO Jinsong(), SUN Xuemin, WANG Jiacheng   

  1. College of Mechanical Engineering, Donghua University, Shanghai 201620, China
  • Received:2018-10-25 Revised:2018-12-01 Online:2019-02-15 Published:2019-02-01
  • Contact: BAO Jinsong E-mail:bao@dhu.edu.cn

RichHTML

2

PDF (PC)

112

Abstract:

The temperature of the intelligent workshop of ring spinning has a great influence on the spinning process and the quality of spinning, and it is necessary to precisely control its fluctuation. The temperature control method of the intelligent workshop of ring spinning based on cyber-physical systems was proposed by analyzing the big data of the ring spinning, forming an adjustment strategy for air conditioning air volume, heating capacity, etc. and the temperature closed-loop precise control was realized. Firstly, the temperature closed-loop precise control architecture was proposed, which is divided into four layers: physical layer, communication layer, information layer and control layer. Secondly, the temperature closed-loop precision control model was established, and the temperature precise control strategy was formed through data analysis. Finally, the airflow field and temperature field of the intelligent workshop were simulated through a case study, and the measured average temperature value was compared with the simulated temperature value. The results show that the deviation between the measured average and the simulated value does not exceed ±0.62 ℃, and the proposed method can accurately control the intelligent workshop temperature to fluctuate within 2 ℃.

Key words: temperature control model, closed-loop control, cyber-physical systems, ring spinning, intelligent workshop

CLC Number: 

  • TS108.8

Fig.1

Architecture of temperature closed-loop precision control based on CPS for intelligent workshop of ring spinning"

Tab. 1

Temperature control range of each main progresworkshop of ring spinning℃"

车间 冬季温度 夏季温度
清棉 20~22 29~31
梳棉 22~24 29~31
精梳 22~24 28~30
并条 22~24 29~31
粗纱 22~24 29~31
细纱 24~26 30~32
络筒 20~22 30~32

Fig.2

Precision control of temperature closed-loop based on CPS for intelligent workshop of ring spinning"

Fig.3

Cloud diagram of airflow field in intelligent workshop of ring spinning. (a) Summer; (b) Winter"

Fig.4

Cloud diagram of temperature field of intelligent workshop of ring spinning. (a) Summer; (b) Winter"

Fig.5

Comparison between measured temperature data and simulated temperature data. (a) Summer; (b) Winter"

[1] BARKER G L, LAIRD J W. Temperature effects on cotton lint moisture regain rates[J]. Transactions of the Asae, 1992,35(2):435-441.
[2] LU W K, FENG Y, ZHU C C, et al. Temperature compensation of the saw yarn tension sensor[J]. Ultrasonics, 2017,76:87-91.
doi: 10.1016/j.ultras.2016.12.006 pmid: 28086109
[3] 董小飞. 浅谈温湿度对纺纱生产的影响[J]. 棉纺织技术, 2007,35(1):33-35.
DONG Xiaofei. Influence of moisture temperature on spinning production[J]. Cotton Textile Technology, 2007,35(1):33-35.
[4] 董桂芹. 纺织厂温湿度控制的系统方案设计及实现[D]. 上海:上海交通大学, 2012: 1-3.
DONG Guiqin. Design and realization of temperature & humidity control system in textile plant[D]. Shanghai: Shanghai Jiaotong University, 2012: 1-3.
[5] 王艳霞. 纺织厂空调系统温湿度控制策略研究[D]. 西安:西安工程大学, 2017: 4-5.
WANG Yanxia. Development of temperature and humidity control strategy foe air conditioning system in textile mill[D]. Xi'an: Xi'an Polytechnic University, 2017: 4-5.
[6] 薛永飞. 纺织厂空调自动控制技术的探讨[J]. 棉纺织技术, 2003,31(11):39-41.
XUE Yongfei. Research of automatic control technology on textile mill air conditioning[J]. Cotton Textile Technology, 2003,31(11):39-41.
[7] 李新禹, 陈杰, 金星, 等. 温湿度独立控制空调技术在细纱车间的应用[J]. 纺织学报, 2009,30(2):112-116.
LI Xinyu, CHEN Jie, JIN Xing, et al. Application of temperature and humidity independent controlled air-conditioning technology in spinning department[J]. Journal of Textile Research, 2009,30(2):112-116.
[8] 潘荣昌, 李海霞, 徐林岚, 等. 纺织厂温湿度自动控制系统的设计与应用[J]. 现代纺织技术, 2011,20(5):10-13.
PAN Rongchang, LI Haixia, Xu Linlan, et al. Design and application of automatic temperature and humidity control system foe textile mills[J]. Advanced Textile Technology, 2011,20(5):10-13.
[9] DI Y H, YU F T. The feasibility research of temperature and humidity independent controlled air-conditioning system in textile factory[J]. Advanced Materials Research, 2012, 374-377(3):635-638.
[10] 何积丰. Cyber-physical systems[J]. 中国计算机学会通讯, 2010,6(1):25-29.
HE Jifeng. Cyber-physical systems[J]. Communications of the CCF, 2010,6(1):25-29.
[11] 殷士勇, 鲍劲松, 邹永毅, 等. 面向智能棉纺生产的CPS架构及其关键技术[J]. 东华大学学报(自然科学版), 2017,43(5):681-688.
YIN Shiyong, BAO Jinsong, ZHOU Yongyi, et al. An architectural and key technologies of CPS for intelligent cotton production[J]. Journal of Donghua Univer-sity (Natural Science Edition), 2017,43(5):681-688.
[12] 王云, 刘东, 翁嘉明, 等. 电网信息物理系统建模与仿真验证平台研究[J]. 中国电机工程学报, 2018,38(1):130-136.
WANG Yun, LIU Dong, WENG Jiaming, et al. The research of power CPS modeling and simulation verification platform[J]. Proceedings of the CSEE, 2018,38(1):130-136.
[13] 侯志霞, 邹方, 吕瑞强, 等. 信息物理融合系统及其在航空制造业应用展望[J]. 航空制造技术, 2014,465(21):47-49.
HOU Zhixia, ZOU Fang, LÜ Ruiqiang, et al. Analysis on cyber-physical system and its application in aeronautical manufacturing industry[J]. Aeronautical Manufacturing Technology, 2014,465(21):47-49.
[14] 方宇恒, 徐中伟, 彭聪. 信息物理融合系统环境下轨道交通信号安全控制规划研究[J]. 城市轨道交通研究, 2018,21(4):25-30,39.
FANG Yuheng, XU Zhongwei, PEI Cong. Study on the planning of rail transit safety signal control in CPS[J]. Urban Mass Transit, 2018,21(4):25-30,39.
[15] 尹存涛. 基于CPS的汽车轮毂制造系统设计[J]. 制造技术与机床, 2017 (10):142-146.
YIN Cuntao. Auto wheel manufacturing system design based on the CPS[J]. Manufacturing Technology & Machine Tool, 2017 (10):142-146.
[16] 许亮, 刘兰英, 李秀喜. 面向化工过程安全运行的信息物理融合系统[J]. 现代化工, 2016 (3):169-172.
XU Liang, LIU Lanying, LI Xiuxi. Cyber-physical system for safe operation of chemical processes[J]. Modern Chemical Industry, 2016 (3):169-172.
[17] 徐钢, 张晓彤, 黎敏, 等. 基于嵌入式CPS模型的产品质量在线管控方法[J]. 机械工程学报, 2017,53(12):94-101.
XU Gang, ZHANG Xiaotong, LI Min, et al. Online monitoring and control method of product quality based on embedded cyber-physical system Models[J]. Journal of Mechanical Engineering, 2017,53(12):94-101.
[18] 黎作鹏, 张天驰, 张菁. 信息物理融合系统(CPS)研究综述[J]. 计算机科学, 2011,38(9):25-31.
LI Zuopeng, ZHANG Tianchi, ZHANG Jing. Survey on the research of cyber-physical system(CPS)[J]. Computer Science, 2011,38(9):25-31.
[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] . Structure and performances of double channel digital ring spinning melange yarn [J]. Journal of Textile Research, 2018, 39(11): 27-32.
[4] . Drawing tension closed-loop control technology of circular knitting machine [J]. Journal of Textile Research, 2018, 39(10): 125-130.
[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