TY - JOUR
T1 - An Experimental Framework for 5G Wireless System Integration into Industry 4.0 Applications
AU - Rodriguez, Ignacio
AU - Mogensen, Rasmus Suhr
AU - Fink, Andreas Engelsen
AU - Raunholt, Taus Mortensen
AU - Markussen, Søren
AU - Christensen, Per Hartmann
AU - Berardinelli, Gilberto
AU - E. Mogensen, Preben
AU - Schou, Casper
AU - Madsen, Ole
PY - 2021/7/23
Y1 - 2021/7/23
N2 - The fourth industrial revolution, or Industry 4.0 (I4.0), makes use of wireless technologies together with other industrial Internet-of-Things (IIoT) technologies, cyber–physical systems (CPS), and edge computing to enable the optimization and the faster re-configuration of industrial production processes. As I4.0 deployments are ramping up, the practical integration of 5G wireless systems with existing industrial applications is being explored in both Industry and Academia, in order to find optimized strategies and to develop guidelines oriented towards ensuring the success of the industrial wireless digitalization process. This paper explores the challenges arisen from such integration between industrial systems and 5G wireless, and presents a framework applicable to achieve a structured and successful integration. The paper aims at describing the different aspects of the framework such as the application operational flow and its associated tools, developed based on analytical and experimental applied research methodologies. The applicability of the framework is illustrated by addressing the integration of 5G technology into a specific industrial use case: the control of autonomous mobile robots. The results indicate that 5G technology can be used for reliable fleet management control of autonomous mobile robots in industrial scenarios, and that 5G can support the migration of the on-board path planning intelligence to the edge-cloud.
AB - The fourth industrial revolution, or Industry 4.0 (I4.0), makes use of wireless technologies together with other industrial Internet-of-Things (IIoT) technologies, cyber–physical systems (CPS), and edge computing to enable the optimization and the faster re-configuration of industrial production processes. As I4.0 deployments are ramping up, the practical integration of 5G wireless systems with existing industrial applications is being explored in both Industry and Academia, in order to find optimized strategies and to develop guidelines oriented towards ensuring the success of the industrial wireless digitalization process. This paper explores the challenges arisen from such integration between industrial systems and 5G wireless, and presents a framework applicable to achieve a structured and successful integration. The paper aims at describing the different aspects of the framework such as the application operational flow and its associated tools, developed based on analytical and experimental applied research methodologies. The applicability of the framework is illustrated by addressing the integration of 5G technology into a specific industrial use case: the control of autonomous mobile robots. The results indicate that 5G technology can be used for reliable fleet management control of autonomous mobile robots in industrial scenarios, and that 5G can support the migration of the on-board path planning intelligence to the edge-cloud.
KW - 5G
KW - Industry 4.0
KW - system integration
KW - prototypes
KW - manufacturing systems
KW - industrial IoT
KW - autonomous mobile robots
UR - http://www.scopus.com/inward/record.url?scp=85111679127&partnerID=8YFLogxK
U2 - 10.3390/en14154444
DO - 10.3390/en14154444
M3 - Journal article
SN - 1996-1073
VL - 14
JO - Energies
JF - Energies
IS - 15
M1 - 4444
ER -