计算机集成制造系统 ›› 2022, Vol. 28 ›› Issue (6): 1685-1695.DOI: 10.13196/j.cims.2022.06.008

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基于数字孪生的化纤长丝落卷作业优化方法及验证

徐慧1,邹孝付2+,王海天1,陈雷3,李鑫磊3,程江峰3,王勇1   

  1. 1.北自所(北京)科技发展股份有限公司
    2.北京航空航天大学人工智能研究院
    3.北京航空航天大学自动化科学与电气工程学院
  • 出版日期:2022-06-30 发布日期:2022-06-28
  • 基金资助:
    国家自然科学基金青年基金资助项目(52005025,52005026)。

Optimization method and justification of chemical fiber filament doffing operation based on digital twin

  • Online:2022-06-30 Published:2022-06-28
  • Supported by:
    Project supported by the National Natural Science Foundation,China(No.52005025,52005026).

摘要: 针对当前化纤长丝生产车间的装备故障率高、远程运维难、装备协作易失败,尤其在化纤长丝落卷作业过程中存在作业策略效率低的难题,提出并构建了基于数字孪生的化纤长丝落卷作业优化系统。建立了基于数字孪生五维模型的落卷作业数字孪生模型,在实时数据驱动下,实现了化纤长丝生产车间的三维可视化监视与精准管控;重点针对化纤长丝落卷生产线作业方法问题,提出一种考虑多目标的自动落卷机作业策略调度优化方法,并进行仿真验证。通过在某化纤长丝生产企业进行落地应用,表明所构建的数字孪生系统和作业策略的有效性。

关键词: 化纤长丝, 落卷作业, 数字孪生, 调度优化

Abstract: With excellent performance,wide usage and large demand,chemical fiber filament performs an important role in daily economic activities.Aiming at the problems of chemical fiber filament production workshops such as difficult remote operation and maintenance,high equipment failure rate and failure of equipment collaboration,especially the conundrum of low efficiency in scheduling strategy during the process of chemical fiber filament doffing production,a production optimization system for chemical fiber filament doffing process based on digital twin technology was proposed.A doffing process based on five dimensions digital twin model was constructed,which achieved 3D visual monitoring and precise controlling of doffing processes in chemical fiber filament production workshop driven by real-time data.Focusing on the issues within the operating methods of chemical fiber filament doffing production line,a method in scheduling optimization of multi-target automatic doffing cars producing strategy was proposed with simulation testing that was implemented in a chemical fiber filament manufacturing company.The result showed that the digital twin system and scheduling strategies could effectively improve the efficiency of automatic doffing cars.

Key words: chemical fiber filament, doffing production, digital twin, scheduling optimization

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