مجال التميز | تميز دراسي وبحثي |
البحوث المنشورة |
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البحث (1): | |
عنوان البحث: |
Blockchain-hosted Data Access Agreements for Remote Condition Monitoring in Rail |
رابط إلى البحث: | |
تاريخ النشر: |
12/08/2021 |
موجز عن البحث: |
Advances in sensor technologies, remote authentication, and high-bandwidth data networks mean that Remote Condition Monitoring (RCM) systems are now an essential “Internet of Things” (IoT) resource for the efficient operation of railway infrastructure. However, the full potential of the big data generated by these systems has yet to be realised. RCM data within the industry is typically collected and used in silos, with limited possibility of exploitation across system boundaries. In 2013, the Rail Safety and Standards Board (RSSB), on behalf of the GB rail industry, established a cross-industry research programme, T1010, which aimed to build stronger cooperation between stakeholders and to enable sharing of RCM data. Building on the outputs of T1010, this work explores the use of blockchains and smart contracts (SC) in the automation, in an auditable and tamper-proof way, of commercial agreements for RCM data transfers in rail. By removing the limitations of paper-based agreements, we aim to enable innovation in shared business processes and stimulate the market for RCM data in rail. Leveraging existing smart contract-based schemes for trading and sharing IoT data over blockchain networks, we identify suitable methods for the enforcement of agreements and ensure fair cost attribution between stakeholders, without a trusted third party. The outline of a blockchain-based RCM data audit framework is presented, appropriate data access agreements and accounting models are specified in detail, and three permissioned blockchain platforms (Hyperledger Fabric, Sawtooth, and Iroha) have been analysed for their suitability for implementation. Finally, the chapter outlines planned future work around validation of the tools based on two industrial use cases: monitoring systems for unattended overhead line equipment and axle bearings. |
المؤتمرات العلمية |
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المؤتمر (1): | |
عنوان المؤتمر: |
IEEE International Conference on Big Data (Big Data) 2020 |
تاريخ الإنعقاد: |
12-13/12/2020 |
مكان الإنعقاد: |
Atlanta, GA, USA |
طبيعة المشاركة: |
Paper presentation |
عنوان المشاركة: |
Blockchain Application in Remote Condition Monitoring |
ملخص المشاركة: |
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. |
رحمه أحمد غرم الله الزهراني
دكتوراه
العلوم والتقنية
University of Birmingham