Next Article in Journal
An Online SBAS Service to Improve Drone Navigation Performance in High-Elevation Masked Areas
Next Article in Special Issue
Quantum Strategic Organizational Design: Alignment in Industry 4.0 Complex-Networked Cyber-Physical Lean Management Systems
Previous Article in Journal
WatchPose: A View-Aware Approach for Camera Pose Data Collection in Industrial Environments
Previous Article in Special Issue
Industry 4.0 Lean Shopfloor Management Characterization Using EEG Sensors and Deep Learning
Open AccessArticle

Data Handling in Industry 4.0: Interoperability Based on Distributed Ledger Technology

1
Escuela Técnica Superior de Ingenieros Industriales (ETSII), Universidad Politécnica de Madrid, José Gutiérrez Abascal 2, 28006 Madrid, Spain
2
ICT for Sustainable Manufacturing, SCI-STI-DK, École polytechnique fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland
3
Fakultaet fuer Management und Vertrieb, Campus Schwäbisch-Hall, Hochschule Heilbronn, 74081 Heilbronn, Germany
4
Escuela Técnica Superior de Ingenieros Informáticos (ETSIInf), Universidad Politécnica de Madrid, Calle de los Ciruelos, Boadilla del Monte, 28660 Madrid, Spain
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(11), 3046; https://doi.org/10.3390/s20113046
Received: 23 April 2020 / Revised: 16 May 2020 / Accepted: 24 May 2020 / Published: 27 May 2020
Information-intensive transformation is vital to realize the Industry 4.0 paradigm, where processes, systems, and people are in a connected environment. Current factories must combine different sources of knowledge with different technological layers. Taking into account data interconnection and information transparency, it is necessary to enhance the existing frameworks. This paper proposes an extension to an existing framework, which enables access to knowledge about the different data sources available, including data from operators. To develop the interoperability principle, a specific proposal to provide a (public and encrypted) data management solution to ensure information transparency is presented, which enables semantic data treatment and provides an appropriate context to allow data fusion. This proposal is designed also considering the Privacy by Design option. As a proof of application case, an implementation was carried out regarding the logistics of the delivery of industrial components in the construction sector, where different stakeholders may benefit from shared knowledge under the proposed architecture. View Full-Text
Keywords: industry 4.0; reference architecture model; interoperability; digital twin; distributed ledger technology; GDPR; RAMI 4.0; LASFA industry 4.0; reference architecture model; interoperability; digital twin; distributed ledger technology; GDPR; RAMI 4.0; LASFA
Show Figures

Graphical abstract

MDPI and ACS Style

Sun, S.; Zheng, X.; Villalba-Díez, J.; Ordieres-Meré, J. Data Handling in Industry 4.0: Interoperability Based on Distributed Ledger Technology. Sensors 2020, 20, 3046. https://doi.org/10.3390/s20113046

AMA Style

Sun S, Zheng X, Villalba-Díez J, Ordieres-Meré J. Data Handling in Industry 4.0: Interoperability Based on Distributed Ledger Technology. Sensors. 2020; 20(11):3046. https://doi.org/10.3390/s20113046

Chicago/Turabian Style

Sun, Shengjing; Zheng, Xiaochen; Villalba-Díez, Javier; Ordieres-Meré, Joaquín. 2020. "Data Handling in Industry 4.0: Interoperability Based on Distributed Ledger Technology" Sensors 20, no. 11: 3046. https://doi.org/10.3390/s20113046

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop