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SES 1.4: ICT-enabled technologies in Smart Factories
11:20am - 1:00pm
Session Chair: Paolo Pedrazzoli
Location:Aula P (first floor)
244. Structure approach to the design of automation systems through the IEC-61499 standard
Mauro Mazzolini, Franco Cavadini, Giuseppe Montalbano, Andrea Forni
Synesis Scarl, Italy
The main objectives of this study is the conception of an Engineering Support System (ESS) for sustainable optimization of automation tasks supervision, through a set of formalisms, methods and tools introduced to support the control engineer in the design phase of optimized supervisor solutions.
The ESS is based on the IEC 61499 standard for distributed automation, considered as technological reference for the development of automation logics for the new generation of manufacturing systems (CPS). It implements a new formalism for the control problem description and specification, guiding the control engineer within all the control design phases, in order to obtain high performance manufacturing systems while pursuing optimization of key parameter indicators, including for example minimal energy consumption and emissions. To such an aim it enables the possibility to formalize the control supervision problem into a constrained optimization problem to be solved with the most appropriate optimization algorithm selecting the most interesting optimization objective.
Finally, an innovative virtual commissioning platform is proposed. It allows to validate the developed automation tasks supervision system using the real targets running the control solution connected with the virtual model of the system to be controlled in place of the real one.
272. Development a modular factory with modular software components
Jay Jumyung Um, Klaus Fischer, Torsten Spieldenner, Dennis Kolberg
Technologie-Initiative SmartFactoryKL, Germany
Recent market trends require extremely short product life cycles to cope with individual customer requirements. The key technology to deal with these requirements is plug-and-produce which reduces engineering time to change the production lines rapidly. This challenge is solved by the concept of a modular factory which allows to reconfigure individual machine stations without the need of extensive engineering effort. Current solutions are focus on hardware approaches such as modular frames, cables and sensors. However software is still a barrier where the change of production line needs the reprogramming of individual devices. To deal with this challenge, the authors advocate the usage of the BEinCPPS architecture, which is built from open-source software components.
273. A microservice-based middleware for the digital factory
Michele Ciavotta, Marino Alge, Silvia Menato, Diego Rovere, Paolo Pedrazzoli
In recent years a considerable effort has been spent by research and industrial communities in the digitalization of production environments with the main objective of achieving a new automation paradigm, more flexible, responsive to changes and safe.
This paper presents the architecture and discusses the benefits of a distributed middleware prototype supporting a new generation of smart-factory-enabled applications with special attention paid to simulation tools.
Devised within the scope of MAYA EU project, the proposed platform aims at being the first solution capable to empower Cyber-Physical-Systems (CPSs) present at shop-floor level, providing an environment for their Digital Twin along the whole plant life-cycle. The platform implements a microservice-based, cloud-ready, hybrid IoT-Big Data architecture (i) supporting the distributed publication of multidisciplinary simulation models (ii) managing in an optimized way streams of data coming from the shop-floor for real-digital synchronization (iii) ensuring security and confidentiality of sensible data related to CPSs.
275. A review of the roles of Digital Twin in CPS-based production systems
Elisa Negri, Luca Fumagalli, Marco Macchi
Politecnico di Milano, Italy
The paper presents a through literature analysis of the Digital Twin concept, from the initial conceptualization in the aerospace, to the most recent interpretations in the Industry 4.0 manufacturing. Digital Twins provide virtual representations of systems along their lifecycle. Optimizations and decisions making would then rely on the same data that are updated in real-time with the physical system, through synchronization enabled by sensors. For this, a relevant role is covered by semantic metadata models. The paper discusses the new role of Digital Twins in manufacturing and avenues for future research.
377. Manufacturing System Upgrade with Wireless and Distributed Automation
Laura Grohn1, Samuli Metsälä1, Magnus Nyholm1, Lauri Saikko1, Eero Väänänen1, Kashif Gulzar1, Valeriy Vyatkin2
1Aalto University, Finland; 2Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, 97187, Luleå, Sweden
This paper presents a case study of developing a distributed factory automation system model upgrade with decentralized control deployed on a network of six programmable automation controllers communicating wirelessly. The goal is to develop a distributed system which is flexible enough, and easier to reconfigure with on-the-fly online software updates in a smart factory automation environment. Our approach benefits mainly production industries which require a robust and modular software design requiring less effort for their production line. The developed solution aims at flexibility, re-configurability, ease of maintenance and reduced downtime costs.