A CPS-Based Simulation Platform for Long Production Factories

被引:18
作者
Iannino, Vincenzo [1 ]
Colla, Valentina [1 ]
Denker, Joachim [2 ]
Goettsche, Marc [2 ]
机构
[1] TeCIP Inst, Scuola Super St Anna, ICT COISP Ctr, I-56124 Pisa, Italy
[2] ASINCO GbbH Adv Solut Ind Control, Kiekenbusch 11a, D-47269 Duisburg, Germany
关键词
industry; 4.0; smart factory; simulation platform; cyber-physical production systems; through process optimization; steel industry; long products;
D O I
10.3390/met9101025
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Production technology in European steel industry has reached such a level, that significant improvements can only be reached by through process optimization strategies instead of separately improving each process step. Therefore, the connection of suitable technological models to describe process and product behavior, methods to find solutions for typical multi-criterial decisions, and a strong communication between involved plants is necessary. In this work, a virtual simulation platform for the design of cyber-physical production optimization systems for long production facilities focusing on thermal evolution and related material quality is presented. Models for describing physical processes, computers, software and networks as well as methods and algorithms for through process optimization were implemented and merged into a new and comprehensive model-based software architecture. Object-oriented languages are addressed and used because they provide modularity, a high-level of abstraction and constructs that allow direct implementation and usage of the cyber-physical production systems concepts. Simulation results show how the proper connection between models, communication, and optimization methods allows feasibility, safety and benefits of cyber-physical production systems to be established. Furthermore, the software architecture is flexible and general and thus, can be transferred to any steel production line as well as outside the steel industry.
引用
收藏
页数:20
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