Abstract
Through advanced sensor technologies, satellite-based authentication, and high bandwidth data networks, Remote Condition Monitoring (RCM) systems are now an essential 'Internet of Things' (IoT) resource for efficient operation of railway infrastructure. However, the full potential of this big data has yet to be realized. Data is currently collected and used in siloes, with limited visibility of all possible datasets for exploitation. The RSSB on behalf of the UK Rail Industry established a cross-industry research program, T1010, to build stronger cooperation between stakeholders in sharing RCM data. This research builds upon T1010, to explore the use of blockchain and smart contracts to automate, in an auditable and tamper-proof way, the commercial agreements and payment processes for data trading. By removing the limitations of paper-based agreements, our goal is to enable innovation in shared business processes and an IoT data marketplace. Building on existing smart contract-based schemes for trading and sharing IoT data over blockchain networks, this research identifies novel ways to enforce agreements and ensure fair cost attribution between parties, without a Trusted Third Party. The initial design of a blockchain-based framework is presented, oriented around the data provider, consumer, and smart contracts. Blockchain-hosted data access agreement and accounting models are specified in detail. The processors in the efficient permissioned blockchain platforms Hyperledger Fabric, Sawtooth, and Iroha have been analyzed for their suitability for implementation. We then outline our future work to evaluate and validate two industrial use cases: monitoring systems for unattended overhead line equipment and axle bearings.
| Original language | English |
|---|---|
| Title of host publication | 2020 IEEE International Conference on Big Data (Big Data) |
| Editors | Xintao Wu, Chris Jermaine, Li Xiong, Xiaohua Tony Hu, Olivera Kotevska, Siyuan Lu, Weijia Xu, Srinivas Aluru, Chengxiang Zhai, Eyhab Al-Masri, Zhiyuan Chen, Jeff Saltz |
| Pages | 2385-2394 |
| Number of pages | 10 |
| ISBN (Electronic) | 9781728162515 |
| DOIs | |
| Publication status | Published - 19 Mar 2021 |
| Event | 2020 IEEE International Conference on Big Data (Big Data) - Online Duration: 10 Dec 2020 → 13 Dec 2020 https://bigdataieee.org/BigData2020/ |
Publication series
| Name | IEEE International Conference on Big Data |
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Conference
| Conference | 2020 IEEE International Conference on Big Data (Big Data) |
|---|---|
| Period | 10/12/20 → 13/12/20 |
| Internet address |
Bibliographical note
Funding Information:ACKNOWLEDGMENT This project has received funding from the Shift2Rail Joint Undertaking (JU) under grant agreement No 826156. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and the Shift2Rail JU members other than the Union. The authors would further like to acknowledge Imam Abdulrahman Bin Faisal University and the Saudi Government for funding R.A.A., the first author.
Publisher Copyright:
© 2020 IEEE.
Keywords
- Big data
- Blockchain
- Cost attribution
- Process automation
- Remote Condition Monitoring
ASJC Scopus subject areas
- Computer Networks and Communications
- Information Systems
- Information Systems and Management
- Safety, Risk, Reliability and Quality
Access to Document
- AlzahraniR2020Blockchain
© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. R. A. Alzahrani, S. J. Herko and J. M. Easton, "Blockchain Application in Remote Condition Monitoring," 2020 IEEE International Conference on Big Data (Big Data), 2020, pp. 2385-2394, doi: 10.1109/BigData50022.2020.9377895.