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基于增强现实技术的筒子纱印染锁扣机器人运维巡检系统研究
引用本文:吴乐,张倩,杨万然,徐朝月,王维冠,侯曦. 基于增强现实技术的筒子纱印染锁扣机器人运维巡检系统研究[J]. 纺织学报, 2022, 43(9): 34-40. DOI: 10.13475/j.fzxb.20220601107
作者姓名:吴乐  张倩  杨万然  徐朝月  王维冠  侯曦
作者单位:1.北京机科国创轻量化科学研究院有限公司, 北京 1000832.先进成形技术与装备国家重点实验室, 北京 1000833.中国纺织机械协会, 北京 100028
基金项目:山东省重大科技创新项目(2019TSLH0204)
摘    要:为达到筒子纱印染生产过程中对关键机器人设备可靠性、稳定性和低运维成本的要求,以筒子纱染色锁扣机器人为研究对象,通过分析锁扣机器人作业流程、巡检需求及常见故障,开展其智能巡检作业流程分析、系统方案及功能模块设计、数据接口设计等研究,建立锁扣机器人运维巡检数据模型,搭建基于增强现实技术的锁扣机器人运维巡检系统,实现锁扣机器人的设备实时数据监控、故障监测预警、设备综合效率分析及设备智能运维巡检,并进行现场应用验证。结果表明:锁扣机器人提高了设备运行可靠性及维护便捷性,实现了设备运维安全管控。

关 键 词:增强现实技术  锁扣机器人  数据模型  智能运维巡检  实时监测  筒子纱染色
收稿时间:2022-06-06

Research on operation-maintenance-patrol-inspection system of yarn package dyeing latch locking robot based on augmented reality technology
WU Le,ZHANG Qian,YANG Wanran,XU Zhaoyue,WANG Weiguan,HOU Xi. Research on operation-maintenance-patrol-inspection system of yarn package dyeing latch locking robot based on augmented reality technology[J]. Journal of Textile Research, 2022, 43(9): 34-40. DOI: 10.13475/j.fzxb.20220601107
Authors:WU Le  ZHANG Qian  YANG Wanran  XU Zhaoyue  WANG Weiguan  HOU Xi
Affiliation:1. Beijing National Innovation Institute of Lightweight Ltd., Beijing 100083, China2. State Key Laboratory of Advanced Forming Technology and Equipment, Beijing 100083, China3. China Textile Machinery Association, Beijing 100028, China
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.
Keywords:augmented reality technology  latch locking robot  data model  operation-maintenance-patrol-inspection  real-time monitoring  yarn package dyeing  
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