数据驱动的制造系统快速建模技术
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摘要
建模是制约复杂制造系统仿真快速实施的瓶颈,当前广泛实施的集成制造系统建模效率更是有待提高。针对该问题,从数据驱动的角度展开研究,从数据模型、控制模型和自动化模型构建3个层次说明数据驱动的快速建模方法:1)面向集成制造系统,提出了以公共数据区为核心的统一数据结构和数据驱动机制;2)划分了车间、单元和设备3层次递阶控制结构,说明了它们对应的控制器机制及其对应的仿真控制规则;3)基于公共数据区,开发数据存取接口以及自动模型生成器,实现了数据驱动的自动模型生成。在eM-Plant仿真软件中通过二次开发实现了该模型,并以某企业多型号产品为例对模型进行了应用研究,验证了模型不仅具有快速构建的特点,而且具有很高的适应性,有推广应用价值。
Modeling has become the bottleneck of simulation for complex mechanical system.It is extremely needed to be improved for integrated manufacturing system(IMS)which is currently being implemented widely.Aiming at such problem,three levels of technologies such as data model,controlling model and automatic model are discussed in detail according to the concept of data-driven:1)using public data zone(PDZ)uniform data structure and data-driven mechanism are put forward;2)workshop,cell and machine are partitioned to form a three level hierarchical control framework,and their model controllers as well as control rules are explained respectively;3)data saving and extracting interface,and auto-model generator on the basis of PDZ are developed,so that data-driven auto-model generation is realized.The model is finally realized in eM-Plant simulation platform through secondary development.Multi-type products of a military industry are used for case study.The result shows high efficiency,adaptability and applicable value of this model.
Modeling has become the bottleneck of simulation for complex mechanical system.It is extremely needed to be improved for integrated manufacturing system(IMS)which is currently being implemented widely.Aiming at such problem,three levels of technologies such as data model,controlling model and automatic model are discussed in detail according to the concept of data-driven:1)using public data zone(PDZ)uniform data structure and data-driven mechanism are put forward;2)workshop,cell and machine are partitioned to form a three level hierarchical control framework,and their model controllers as well as control rules are explained respectively;3)data saving and extracting interface,and auto-model generator on the basis of PDZ are developed,so that data-driven auto-model generation is realized.The model is finally realized in eM-Plant simulation platform through secondary development.Multi-type products of a military industry are used for case study.The result shows high efficiency,adaptability and applicable value of this model.
引文
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[3]YIN Shen,DING S X,XIE Xiaochen,et al.A review on basic data-driven approaches for industrial process monitoring[J].IEEE Transactions on Industrial Electronics,2014,61(11):6414-6428.
[4]QUAN Hongwei,ZHANG Long,CHEN Lin.A data-driven modeling approach to multi-source information fusion system[A].3rd International Conference on Mechanical Engineering,Materials and Energy[C].[S.l.]:[s.n.],2013.621-624.
[5]LONG Yuan,HU Xiaolin.Dynamic data driven simulation with soft data[J].Simulation Series,2014,46(4):109-116.
[6]ESSAID M,GRIMAUD F,BURLAT P.Manufacturing network simulation using a data-driven model[J].International Journal of Simulation and Process Modelling,2011,6(3):228-237.
[7]韩守鹏,邱晓刚,黄柯棣.动态数据驱动的适应性建模与仿真[J].系统仿真学报,2006,18(sup2):147-151.HAN Shoupeng,QIU Xiaogang,HUANG Kedi.Adaptive modeling&simulation driven by dynamic data[J].Journal of System Simulation,2006,18(sup2):147-151.
[8]马铭.基于数据驱动的模糊系统建模方法研究[D].长春:吉林大学,2006.MA Ming.Study on Fuzzy System Modeling Based on Data Driven[D].Changchun:Jilin University,2006.
[9]WANG Junfeng,XIAO Guoxian,CHANG Qing,et al.Real-time data-driven simulation of general assembly plant with JIT material handling system[A].IIE Annual Conference and Expo 2010Proceedings[C].Cancun:[s.n.],2010.
[10]WANG Junfeng,CHANG Qing,XIAO Guoxian,et al.Data driven production modeling and simulation of complex automobile general assembly plant[J].Computers in Industry,2011,62(7):765-775.
[11]JEONG K Y.Conceptual frame for development of optimized simulation-based scheduling systems[J].Expert Systems with Applications,2000(18):299-306.
[12]CHIN S C,APPA I S,ROBERT G.Simulation-based scheduling for dynamic discrete manufactuiung[A].Proceedings of the 2003Winter Simulation Conference[C].[S.l.]:[s.n.],2003.1465-1473.
[13]APPA I S,AMIT K G.Online multi-objective pareto optimal dynamic scheduling of semiconductor back-end using conjunctive simulated scheduling[J].IEEE Transactions on Electronics Packaging Manufacturing,2006,29(2):99-109.
[14]TALIBI Z,HINDBRIL E H,THOMAS A.The relevance study of adaptive kanban in a multicriteria constraints context using data-driven simulation method[A].Proceedings of 2013International Conference on Industrial Engineering and Systems Management[C].[S.l.]:[s.n.],2013.
[15]WY J,JEONG S,KIM B I,et al.A data-driven generic simulation model for logistics-embedded assembly manufacturing lines[J].Computers and Industrial Engineering,2011,60(1):138-147.
[16]MENG Chao,NAGESHWARANIYER S S,MAGHSOUDI A,et al.Data-driven simulation architecture for material handling system in coal mining[A].62nd IIE Annual Conference and Expo[C].[S.l.]:[s.n.],2012.1525-1534.
[17]BENGTSSON N,MICHALOSKI J,PROCTOR F,et al.Towards data-driven sustainable machining combining MTConnect production data and discrete event simulation[A].ASME 2010International Manufacturing Science and Engineering Conference[C].[S.l.]:MSEC,2010.379-387.
[18]王国新,阎艳,宁汝新,等.数据驱动与模块化控制模型相结合的生产系统快速建模方法[J].系统仿真学报,2009,21(14):4224-4230.WANG Guoxin,YAN Yan,NING Ruxin,et al.Rapid modeling for production system using data-driven and modularized controlling model[J].Journal of System Simulation,2009,21(14):4224-4230.
[19]CHEN Huawei,WANG Aimin,NING Ruxin.Hierarchical modeling and simulation of dynamic production logistic system[A].International Technology and Innovation Conference[C].[S.l.]:ITIC,2009.
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