Industrial Data Homogenization and Monitoring Scheme with Blockchain Oracles

Autor: Aitor Urbieta, Leticia Montalvillo Mendizabal, Patxi Galán-García, Denis Stefanescu, JUAN JOSE UNZILLA GALAN
Přispěvatelé: European Commission
Rok vydání: 2023
Předmět:
Zdroj: Smart Cities; Volume 6; Issue 1; Pages: 263-290
ISSN: 2624-6511
1010-2191
DOI: 10.3390/smartcities6010013
Popis: Research efforts on Distributed Ledger Technologies (DLTs) for industrial applications have constantly been increasing over the last years. The use of DLTs in the Industry 4.0 paradigm provides traceability, integrity, and immutability of the generated industrial data. However, Industry 4.0 ecosystems are typically composed of multiple smart factory clusters belonging to several companies, which are immersed in constant interaction with other business partners, clients, or suppliers. In such complex ecosystems, multiple DLTs are necessarily employed to maintain the integrity of the data throughout the whole process, from when the data is generated until it is processed at higher levels. Moreover, industrial data is commonly heterogeneous, which causes compatibility issues, along with security and efficiency issues in the homogenization process. Thus, the data needs to be pre-processed and homogenized in a secure manner before being exploited. Consequently, in this work, we address the issues mentioned above by providing an industrial raw data pre-processing and homogenization process according to a standard data model. We employ decentralized blockchain oracles to guarantee the integrity of the external data during the homogenization process. Hereafter, we design an interoperable plant blockchain for trustworthy storage and processing of the resulting homogenized data across several industrial plants. We also present a prototype implementation of the aforementioned scheme and discuss its effectiveness. Finally, we design a monitoring scheme to overview the usage the performance of the architecture processes and identify possible performance and security issues. This work has been financed by the European Commission through the Horizon Europe program under the IDUNN project (grant agreement number 101021911). It was also partially supported by the Ayudas Cervera para Centros Tecnológicos grant of the Spanish Centre for the Development of Industrial Technology (CDTI) under the project EGIDA (CER-20191012), and by the Basque Country Government under the ELKARTEK program, project ELKARTEK program, project REMEDY - REal tiME control and embeddeD securitY (KK-2021/00091).
Databáze: OpenAIRE
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