Industrial Data Homogenization and Monitoring Scheme with Blockchain Oracles
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 ecosyste...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-01-01
|
| Series: | Smart Cities |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2624-6511/6/1/13 |
| _version_ | 1797618119893581824 |
|---|---|
| author | Denis Stefanescu Patxi Galán-García Leticia Montalvillo Juanjo Unzilla Aitor Urbieta |
| author_facet | Denis Stefanescu Patxi Galán-García Leticia Montalvillo Juanjo Unzilla Aitor Urbieta |
| author_sort | Denis Stefanescu |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T08:08:38Z |
| format | Article |
| id | doaj.art-3da3a78d91f14ac99749553ac0defc34 |
| institution | Directory Open Access Journal |
| issn | 2624-6511 |
| language | English |
| last_indexed | 2024-03-11T08:08:38Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Smart Cities |
| spelling | doaj.art-3da3a78d91f14ac99749553ac0defc342023-11-16T23:15:06ZengMDPI AGSmart Cities2624-65112023-01-016126329010.3390/smartcities6010013Industrial Data Homogenization and Monitoring Scheme with Blockchain OraclesDenis Stefanescu0Patxi Galán-García1Leticia Montalvillo2Juanjo Unzilla3Aitor Urbieta4Ikerlan Technology Research Centre, Basque Research and Technology Alliance (BRTA), 20500 Arrasate-Mondragon, SpainEntrii, 46024 Valencia, SpainIkerlan Technology Research Centre, Basque Research and Technology Alliance (BRTA), 20500 Arrasate-Mondragon, SpainDepartment of Communication Engineering, University of the Basque Country (UPV/EHU), 48013 Bilbao, SpainIkerlan Technology Research Centre, Basque Research and Technology Alliance (BRTA), 20500 Arrasate-Mondragon, SpainResearch 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.https://www.mdpi.com/2624-6511/6/1/13blockchainIndustry 4.0Internet of Thingsblockchain oraclesmonitoring |
| spellingShingle | Denis Stefanescu Patxi Galán-García Leticia Montalvillo Juanjo Unzilla Aitor Urbieta Industrial Data Homogenization and Monitoring Scheme with Blockchain Oracles Smart Cities blockchain Industry 4.0 Internet of Things blockchain oracles monitoring |
| title | Industrial Data Homogenization and Monitoring Scheme with Blockchain Oracles |
| title_full | Industrial Data Homogenization and Monitoring Scheme with Blockchain Oracles |
| title_fullStr | Industrial Data Homogenization and Monitoring Scheme with Blockchain Oracles |
| title_full_unstemmed | Industrial Data Homogenization and Monitoring Scheme with Blockchain Oracles |
| title_short | Industrial Data Homogenization and Monitoring Scheme with Blockchain Oracles |
| title_sort | industrial data homogenization and monitoring scheme with blockchain oracles |
| topic | blockchain Industry 4.0 Internet of Things blockchain oracles monitoring |
| url | https://www.mdpi.com/2624-6511/6/1/13 |
| work_keys_str_mv | AT denisstefanescu industrialdatahomogenizationandmonitoringschemewithblockchainoracles AT patxigalangarcia industrialdatahomogenizationandmonitoringschemewithblockchainoracles AT leticiamontalvillo industrialdatahomogenizationandmonitoringschemewithblockchainoracles AT juanjounzilla industrialdatahomogenizationandmonitoringschemewithblockchainoracles AT aitorurbieta industrialdatahomogenizationandmonitoringschemewithblockchainoracles |