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作 者:刘娟 庄存波[1] 刘检华[1] 苗田 王建群[1] LIU Juan;ZHUANG Cunbo;LIU Jianhua;MIAO Tian;WANG Jianqun(School of Mechanical Engineering,Beijing Institute of Technology,Beijing 100081,China)
机构地区:[1]北京理工大学机械与车辆学院,北京100081
出 处:《计算机集成制造系统》2021年第2期467-477,共11页Computer Integrated Manufacturing Systems
基 金:国家自然科学基金资助项目(52005042,51935003);国防基础科研资助项目(JCKY2018210C005,JCKY2016204A502,JCKY2018206B003);装备预先研究资助项目(41423010301)。
摘 要:针对数字孪生车间的在线预测难题,提出一种实时数据驱动的数字孪生车间运行状态在线预测方法。分析了车间数字孪生体的内涵和运行机制,构建了基于车间数字孪生体的仿真预测框架,阐述了基于事件调度法的仿真运行逻辑,建立了数字孪生车间输入特性、样本生成、事件处理逻辑之间的关系,融合实时数据实现了基于持续瞬态仿真的车间在线预测。设计并开发了面向数字孪生车间的运行状态在线仿真系统,通过实例验证了该方法的可行性和有效性。Aiming at the online prediction problem of the digital twin workshop,an online prediction method of the operation status of digital twin workshop based on real-time data was proposed.The connotation and operating mechanism of the workshop digital twin was analyzed,a simulation prediction framework based on the workshop digital twin was constructed,the simulation operation logic based on the event scheduling method was explained,and the digital twin workshop input characteristics,sample generation,and event processing logic were established.The fusion of real-time data realized the online prediction of the workshop based on continuous transient simulation.An online simulation system for the operating status of the digital twin workshop was designed and developed,and the feasibility and effectiveness of the method were verified through an example.
关 键 词:数字孪生车间 在线预测 实时数据 持续瞬态仿真 事件调度法
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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