Journal of Textile Research ›› 2022, Vol. 43 ›› Issue (09): 34-40.doi: 10.13475/j.fzxb.20220601107

• Invited Column: Textile Intelligent Manufacturing and Robotics • Previous Articles     Next Articles

Research on operation-maintenance-patrol-inspection system of yarn package dyeing latch locking robot based on augmented reality technology

WU Le1,2, ZHANG Qian1,2(), YANG Wanran1,2, XU Zhaoyue1,2, WANG Weiguan1,2, HOU Xi3   

  1. 1. Beijing National Innovation Institute of Lightweight Ltd., Beijing 100083, China
    2. State Key Laboratory of Advanced Forming Technology and Equipment, Beijing 100083, China
    3. China Textile Machinery Association, Beijing 100028, China
  • Received:2022-06-06 Revised:2022-07-20 Online:2022-09-15 Published:2022-09-26
  • Contact: ZHANG Qian E-mail:zhangqian82618@163.com

RichHTML

18

PDF (PC)

139

Abstract:

According to the requirements for high reliability, stability and low operation and maintenance cost of the key robot in the yarn package dyeing process, this research took the yarn package dyeing latch locking robot as the research object and analysed intelligent inspection workflow, design system schemes and functional modules, design data interface by analyzing the operation process, inspection requirements and common faults of the latch locking robot. This research built a data model for operation-maintenance-patrol-inspection of latch locking robots and a system based on augmented reality technology, realizing the real-time data monitoring, fault monitoring and early warning, comprehensive efficiency analysis and intelligent operation-maintenance-patrol-inspection of the robot. The on-spot application showed that the reliability and the safety control of equipment operation and the convenience of maintenance were improved.

Key words: augmented reality technology, latch locking robot, data model, operation-maintenance-patrol-inspection, real-time monitoring, yarn package dyeing

CLC Number: 

  • TP391.9

Fig.1

Latch locking robot"

Fig.2

Intelligent patrol inspection process"

Fig.3

Research framework of intelligent operation and maintenance system"

Fig.4

Data model of latch locking robot intelligent patrol system"

Tab.1

Data category and source"

类型 数据
类别		 实时
数据		 数据
来源
实时
信息		 任务状态 任务号、纱笼号、任务进度、操作类别、颜色类别、纱笼杆号、托盘杆号、缓存层数、缓存数量 PLC
设备状态 单机/联机、手动/自动、空闲/工作、正常/报警
关键零部
件状态		 手抓气缸、升降气缸、扶正气缸
运行
参数		 轴当前
速度		 X轴、Y轴、Z轴、纱笼移载车W轴、缓存架升降轴 PLC/
传感器
轴当前
坐标		 X轴、Y轴、Z轴、纱笼移载车W轴、缓存架升降轴
轴限位预
警状态		 X轴、Y轴、Z轴、纱笼移载车W轴
电机报
警状态		 X轴、Y轴、Z轴、纱笼移载车W轴
故障
记录		 联轴器故
障记录		 X轴、Y轴、Z轴 PLC/
数据库
滑块故
障记录		 X轴、Y轴、Z轴

Fig.5

Data communication architecture"

Fig.6

Composition of patrol inspection system of latch locking robot"

Fig.7

Patrol inspection scene design"

Fig.8

Patrol inspection scene selection"

Fig.9

System test scenario"

Fig.10

System partial interface design"

[1] 娄岩. 虚拟现实与增强现实技术概论[M]. 北京: 清华大学出版社, 2016:160-184.
LOU Yan. Introduction to virtual reality and augmented reality technology[M]. Beijing: Tsinghua University Press, 2016:160-184.
[2] 张桢. 增强现实技术和产业发展现状及趋势展望[J]. 新材料产业, 2021(3): 41-44.
ZHANG Zhen. Current situation and trend of augmented reality technology and industry development[J]. Advanced Materials Indystry, 2021(3): 41-44.
[3] HE Changyu, SONG Xifa, RAO Ying, et al. An AR operation and maintenance system for data center[C]// Proceedings of 2018 International Conference on Computer Science and Software Engineering (CSSE 2018).Chengdu:International Association of Applied Science and Engineering (IAASE), 2018:175-187.
[4] SORIA G, ORTEGA A L M, FEITO F R. Augmented and virtual reality for underground facilities manage-ment[J]. Journal of Computing and Information Science in Engineering, 2018, 18(4):1-9.
[5] 何智频, 傅建钢, 赵能, 等. 基于AR技术的电力设备智能巡检探讨[J]. 数字通信世界, 2020(11): 88-89.
HE Zhipin, FU Jiangang, ZHAO Neng, et al. Discussion on intelligent inspection of power equipment based on AR technology[J]. Digital Communication World, 2020(11): 88-89.
[6] 李大勇, 杨畅, 张永伍, 等. 基于AR技术的变电站智能巡检系统设计与实现[J]. 微型电脑应用, 2020, 36(8): 92-94,121.
LI Dayong, YANG Chang, ZHANG Yongwu, et al. Application of remote assistance system for intelligent inspection of substation based on the AR technology[J]. Microcomputer Applications, 2020, 36(8): 92-94,121.
[7] 何明, 陈莹莹, 张斌, 等. AR技术在配电站房巡检业务中的应用研究[J]. 现代信息科技, 2019, 3(1):175-176.
HE Ming, CHEN Yingying, ZHANG Bin, et al. Application of AR technology in patrol service of distribution station buildings[J]. Modern Information Technology, 2019, 3(1): 175-176.
[8] 程新求, 张伟. 基于AR技术在燃气行业中巡检检修应用研究[C]// 2019年燃气安全交流研讨会. 北京: 中国城市燃气协会, 2019:213-214.
CHENG Xinqiu, ZHANG Wei. Research on application of AR technology in inspection and maintenance in gas industry[C]// 2019 Gas Safety Exchange Seminar. Beijing: China City Gas Association, 2019:213-214.
[9] 王琮皓. BIM+AR技术在建筑运维管理中的应用研究[D]. 开封: 河南大学, 2019: 15-62.
WANG Zonghao. The application research of BIM+AR technology in construction operation and maintenance management[D]. Kaifeng: Henan University, 2019:15-62.
[10] 杜冠军, 潘海囤, 王鹏展, 等. 基于AR的通信机房运维巡检技术[J]. 中国科技信息, 2020(22):66-67.
DU Guanjun, PAN Haitun, WANG Pengzhan, et al. AR based operation and maintenance inspection technology of communication machine room[J]. China Science and Technology Information, 2020(22):66-67.
[11] 李冰. 数据中心AR智能运维管理系统的设计与实现[J]. 信息系统工程, 2019(10):125-126.
LI Bing. Design and implementation of AR intelligent operation and maintenance management system in data cente[J]. China CIO News, 2019(10):125-126.
[12] 方维岚, 吴奕龙, 陈翀. 基于AR/MR技术的智能穿戴设备在工业巡检中的应用[J]. 数字技术与应用, 2021, 39(7):150-152.
FANG Weilan, WU Yilong, CHEN Chong. Application of intelligent wearable devices based on AR/MR technology in industrial inspection[J]. Digital Technology and Application, 2021, 39(7):150-152.
[1] ZHENG Baoping, JIANG Gaoming. Design of warp knitting machine data management system based on cloud server [J]. Journal of Textile Research, 2022, 43(07): 186-192.
[2] . Key technologies of interconnection of circular knitting machine [J]. JOURNAL OF TEXTILE RESEARCH, 2018, 39(05): 119-124.
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