Towards Achieving Transparent and Secure Nuclear Fuel Transportation: A Technical Framework Integrating Consortium Blockchain and IoT

This study addresses critical challenges in managing the transportation of spent nuclear fuel, including inadequate data transparency, stringent confidentiality requirements, and a lack of trust among collaborating parties—issues prevalent in traditional centralized management systems. Given the high risks involved, balancing data confidentiality with regulatory transparency is imperative. To overcome these limitations, a technical framework integrating blockchain technology and the Internet of Things (IoT) is proposed, featuring a multi-tiered consortium chain architecture. This system utilizes IoT sensors for real-time data collection, which is immutably recorded on the blockchain, while a hierarchical data structure (operational, supervisory, and public layers) manages access for diverse stakeholders. This approach significantly enhances data immutability, enables real-time multi-sensor data integration, improves decentralized transparency, and increases resilience compared to traditional systems. It should be noted that the proposed framework is a theoretical study and has not yet been implemented or empirically validated, with practical deployment reserved for future work. Ultimately, this blockchain-IoT framework improves the safety, transparency, and efficiency of spent fuel transportation, effectively resolving the conflict between confidentiality and transparency in nuclear data management and offering significant practical implications.

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Publication Details

Journal
Blockchains
Published
2025-10-15
DOI
https://doi.org/10.3390/blockchains3040013
Primary Topic
Nuclear and radioactivity studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Towards Achieving Transparent and Secure Nuclear Fuel Transportation: A Technical Framework Integrating Consortium Blockchain and IoT

Wenjuan Yu, Yanmin Wan, Zhongming Zhang, Yu-xiang Xu
Blockchains
Nuclear and radioactivity studies
article

Towards Achieving Transparent and Secure Nuclear Fuel Transportation: A Technical Framework Integrating Consortium Blockchain and IoT

Wenjuan Yu, Yanmin Wan, Zhongming Zhang, Yu-xiang Xu
article en

Abstract

This study addresses critical challenges in managing the transportation of spent nuclear fuel, including inadequate data transparency, stringent confidentiality requirements, and a lack of trust among collaborating parties—issues prevalent in traditional centralized management systems. Given the high risks involved, balancing data confidentiality with regulatory transparency is imperative. To overcome these limitations, a technical framework integrating blockchain technology and the Internet of Things (IoT) is proposed, featuring a multi-tiered consortium chain architecture. This system utilizes IoT sensors for real-time data collection, which is immutably recorded on the blockchain, while a hierarchical data structure (operational, supervisory, and public layers) manages access for diverse stakeholders. This approach significantly enhances data immutability, enables real-time multi-sensor data integration, improves decentralized transparency, and increases resilience compared to traditional systems. It should be noted that the proposed framework is a theoretical study and has not yet been implemented or empirically validated, with practical deployment reserved for future work. Ultimately, this blockchain-IoT framework improves the safety, transparency, and efficiency of spent fuel transportation, effectively resolving the conflict between confidentiality and transparency in nuclear data management and offering significant practical implications.

BlockchainsVol. 3(4)
Beijing Jiaotong University (CN), Lancaster University (GB)
Beijing Jiaotong University
Openalex Percentile: Top 64%
Nuclear and radioactivity studies
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Towards Achieving Transparent and Secure Nuclear Fuel Transportation: A Technical Framework Integrating Consortium Blockchain and IoT — Wenjuan Yu, Yanmin Wan, et al. · Blockchains (2025) | TGRS Research Map | TGRS