Towards Flexibility in Future Industrial Manufacturing: A Global Framework for Self-organization of Production Cells

Autor: Loïc Cudennec, Karima Nahhal, Wael Labidi, Jens Haupert, Selma Kchir, Julius Pfrommer, Thibaud Tortech, Selma Azaiez, Michael Boc, Miriam Schleipen, Max Da Silva Simoes, Christian Schulz, Xenia Klinge
Přispěvatelé: Département d'Architectures, Conception et Logiciels Embarqués-LIST (DACLE-LIST), Laboratoire d'Intégration des Systèmes et des Technologies (LIST), Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Département Intelligence Ambiante et Systèmes Interactifs (DIASI), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, SYBOT Industries, Deutsches Forschungszentrum für Künstliche Intelligenz GmbH = German Research Center for Artificial Intelligence (DFKI), Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (Fraunhofer IOSB), Fraunhofer (Fraunhofer-Gesellschaft), This work was supported by the HII CPS - High Impact Initiative on Cyber Physical Systems of the European EIT Digitalorganization, as well as the Echord++ - European Clearing House for Open Robotics Development project., Laboratoire d'Intégration des Systèmes et des Technologies (LIST (CEA)), Publica
Jazyk: angličtina
Předmět:
0209 industrial biotechnology
Service (systems architecture)
High level description
Computer science
Data management
Distributed computing
Cells
Machine-to-machine communications
Context (language use)
Data management system
02 engineering and technology
computer.software_genre
Energy conservation
7. Clean energy
Network re-configuration
[SPI.AUTO]Engineering Sciences [physics]/Automatic
020901 industrial engineering & automation
Information management
Manufacturing
0202 electrical engineering
electronic engineering
information engineering
[INFO]Computer Science [cs]
Orchestration Framework
Orchestration (computing)
General Environmental Science
Flexibility (engineering)
Machine-to-machine Communication
business.industry
Manufacture
020206 networking & telecommunications
Industrial manufacturing
Telecommunications network
Reconfigurable hardware
Monitoring and control
Data sharing
Machine to machine
C (programming language)
Operating system
General Earth and Planetary Sciences
Reconfigurable Manufacturing
business
Cytology
computer
Zdroj: 7th International Conference on Ambient Systems, Networks and Technologies / 6th International Conference on Sustainable Energy Information Technology / Affiliated Workshops
7th International Conference on Ambient Systems, Networks and Technologies / 6th International Conference on Sustainable Energy Information Technology / Affiliated Workshops, May 2016, Madrid, Spain. pp.1268-1273, ⟨10.1016/j.procs.2016.04.264⟩
ANT/SEIT
ISSN: 1877-0509
DOI: 10.1016/j.procs.2016.04.264
Popis: Conference of 7th International Conference on Ambient Systems, Networks and Technologies, ANT 2016 and the 6th International Conference on Sustainable Energy Information Technology, SEIT 2016 ; Conference Date: 23 May 2016 Through 26 May 2016; Conference Code:121607; International audience; The future of manufacturing leads to flexible industrial facilities in which production lines or systems are composed by several production cells. Production cells can be reorganized and reconfigured by introducing new devices, equipment, functionalities or even by re-configuring the communication network. In this context, machine-to-machine communication does not only provide a transport layer for monitoring and control, but also provide a high-level distributed service framework and data management system. In this contribution, the authors address the challenge to manage the self-organization of production cells by means of a global framework. This framework bases on the following technologies: RobotML for the scenario description, OPC UA for service orchestration, object memories for distributed data sharing, Frama-C/Para-C for code verification and SDN for network reconfiguration. This framework has been deployed within a use case involving the SYBOT collaborative robot and a reconfigurable Raspberry-Pi based camera to enhance human operator safety. Experiments show that from a high-level description of the scenario, it was possible to automatically orchestrate at the OPC UA level the different reconfigurations of the production cell.
Databáze: OpenAIRE
Externí odkaz: